Meksika
Upper-middle income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Report cards
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Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Augļu patēriņš
Pārstrādātas gaļas patēriņš
Graudaugu patēriņš
Depresija
Trauksme
Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Unaffordable diet
Lejupielādēt ziņojumu kartīti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
Kolorektālais vēzis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
Paaugstināts asinsspiediens
Paaugstināts holesterīna līmenis
Paaugstināts glikozes līmenis asinīs
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Lejupielādēt ziņojumu kartīti
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Valsts stratēģija attiecībā uz aptaukošanos
Stratēģija uztura vai veselības jomā
Mārketings
Fiziska aktivitāte
Nodokļi/subsīdijas pārtikai vai dzērieniem
Sabiedrības iniciatīvas
Starptautiskās stratēģijas saistībā ar aptaukošanos
Marķējums
NCD stratēģija
Regulations (voluntary/pledges)
Pārvaldības vai apstrādes vadlīnijas
Training
Non-national strategies
School Food Regulations/Guidelines
Barošana ar krūti
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 5474 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8563 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8937 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 2361 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 16257 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2016
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8412 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 38620 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 33624 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-69 |
| Izlases lielums: | 41188 |
| Atsauces: | Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 1992-1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 14392 |
| Atsauces: | Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 |
| Piezīmes (pieejamas tikai angļu valodā): | Urban |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 1988
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18-49 |
| Izlases lielums: | 12138 |
| Atsauces: | Rivera JA, BarqueraS, Campirano F, Campos I, Safdie M, Tovar V. Epidemiological and nutritional transition in Mexico:rapid increase of non-communicable chronic diseases and obesity. Public Health Nutrition 2002. 5(1A), 113-122 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 1303 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 1413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 2569 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 2230 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO 2007 |
Bērni, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 1944 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) |
| Cutoffs: | WHO |
Bērni, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 1166 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) |
| Cutoffs: | WHO 2007 |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 6950 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.2025) |
| Cutoffs: | WHO 2007 |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5421 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.2025) |
| Cutoffs: | WHO 2007 |
Bērni, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5671 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Cutoffs: | WHO |
Bērni, 2016
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 2581 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Cuevas-Nasu L, Gaona-Pineda EB,Gómez-Acosta LM, Morales-Ruán MC,Hernández-Ávila M, Rivera-Dommarco JA. Overweight and obesity in children and adolescents,2016 Halfway National Health and Nutrition Survey update. Salud Publica Mex 2018;60:244-253. |
| Piezīmes (pieejamas tikai angļu valodā): | WHO Growth Ref Standard NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 21.10.20)' |
| Cutoffs: | WHO |
Bērni, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 16351 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 |
| Piezīmes (pieejamas tikai angļu valodā): | WHO Cut off NOT: International IOTF Cut off |
| Cutoffs: | WHO |
Bērni, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 13992 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | ENSANUT 2012, https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf (Accessed 15.12.20) |
| Cutoffs: | WHO |
Bērni, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-17 |
| Izlases lielums: | 17158 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta nacional de salud y nutricion 2006 |
| Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
Bērni, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-17 |
| Atsauces: | del Rio-Navarro B, Velazquez-Monroy O, Sanchez-Castillo CP et al. The High Prevalence of Overweight and Obesity in Mexican Children. Obesity Research 2004;12:215-223 |
| Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
Bērni, 1995
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-17 |
| Izlases lielums: | 2853 |
| Atsauces: | Personal Communication - Sanchez Castillo C, National Institute of Nutrition, Mexico. Data from Encuesta Urbana de Alimentación y Nutrición en la Zona Metropolitana de la Ciudad de México, 1995. |
| Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
0-5 years, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Izlases lielums: | 10122251 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición Continua, Mexico 2022 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definīcijas (pieejamas tikai angļu valodā): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2021
| Vecums: | 0-5 |
| Izlases lielums: | 9771967 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua, Mexico 2021 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2020
| Vecums: | 0-5 |
| Izlases lielums: | 9891242 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua COVID-19, Mexico 2020 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2018-2019
| Vecums: | 0-5 |
| Izlases lielums: | 9483218 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2018. Cuernavaca, México: Instituto Nacional de Salud Pública, 2019 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016
| Vecums: | 0-5 |
| Izlases lielums: | 10892308 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición de Medio Camino ENSANUT MC 2016. Cuernavaca, México: Instituto Nacional de Salud Pública, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2015
| Vecums: | 0-5 |
| Izlases lielums: | 7779 |
| Atsauces: | MICS: Encuesta Nacional de Niños, Niñas y Mujeres en México 2015 - Encuesta de Indicadores Múltiples por Conglomerados 2015, Resultados Principales, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2011-2012
| Vecums: | 0-5 |
| Izlases lielums: | 10785103 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2012. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2012 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2005-2006
| Vecums: | 0-5 |
| Izlases lielums: | 9400075 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2002
| Vecums: | 0-5 |
| Izlases lielums: | 35080848 |
| Atsauces: | Other: Mexico Family Life Survey (MFLS) 2002 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1998-1999
| Vecums: | 0-5 |
| Izlases lielums: | 10125945 |
| Atsauces: | NNS: Encuesta nacional de nutricion 1999. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 2000 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1989
| Vecums: | 0-5 |
| Izlases lielums: | 14932 |
| Atsauces: | Other: Encuesta nacional de alimentacion en el medio rural, 1989 (ENAL). Instituto de la Nutricion 'Salvador Zubiran'. Comision Nacional de Alimentacion. Division de Nutricion, INNSZ. Tlalpan, Mexico, D.F, 1990 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1988
| Vecums: | 0-5 |
| Izlases lielums: | 8268127 |
| Atsauces: | NNS: Encuesta nacional de nutricion 1988. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 1990 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
% 12-19 year old children living with overweight or obesity in Mexico 2012-2023
Zēni
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012, https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf (Accessed 15.12.20) 2016: Shamah-Levy T, Cuevas-Nasu L, Gaona-Pineda EB,Gómez-Acosta LM, Morales-Ruán MC,Hernández-Ávila M, Rivera-Dommarco JA. Overweight and obesity in children and adolescents,2016 Halfway National Health and Nutrition Survey update. Salud Publica Mex 2018;60:244-253. 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 12-19 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Meitenes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012, https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf (Accessed 15.12.20) 2016: Shamah-Levy T, Cuevas-Nasu L, Gaona-Pineda EB,Gómez-Acosta LM, Morales-Ruán MC,Hernández-Ávila M, Rivera-Dommarco JA. Overweight and obesity in children and adolescents,2016 Halfway National Health and Nutrition Survey update. Salud Publica Mex 2018;60:244-253. 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 12-19 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Boys and girls
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012, https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf (Accessed 15.12.20) 2016: Shamah-Levy T, Cuevas-Nasu L, Gaona-Pineda EB,Gómez-Acosta LM, Morales-Ruán MC,Hernández-Ávila M, Rivera-Dommarco JA. Overweight and obesity in children and adolescents,2016 Halfway National Health and Nutrition Survey update. Salud Publica Mex 2018;60:244-253. 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 12-19 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% 5-11 year old children living with overweight or obesity in Mexico 2012-2023
Zēni
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 5-11 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Boys and girls
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 5-11 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Meitenes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Piezīmes (pieejamas tikai angļu valodā): | Aged 5-11 |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% Adults living with obesity in Mexico 1992-2023
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Sievietes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Men and women
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% Adults living with overweight or obesity in Mexico 1992-2023
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Sievietes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Men and women
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2012: ENSANUT 2012 http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdf accessed 25th June 2014 2016: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 2018: Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) 2020: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, GaonaPineda EB, Lazcano-Ponce E, Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2021. https://ensanut.insp.mx/encuestas/ensanutcontinua2020/doctos/informes/ensanutCovid19ResultadosNacionales.pdf (Accessed 11.01.2022) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, atlasītās valstis
Vīrieši
| Atsauces: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1988: National Health and Nutrition Survey ftp://ftp.fao.org/es/esn/nutrition/ncp/bah.pdf (last accessed 14th April 2010) 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de la Situación Nutricional (ENSIN), 2005. (2006). Available at: https://www.icbf.gov.co/sites/default/files/libro_2005.pdf [Accessed 18.07.25] 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation 2018: 4th National Survey, Full report available at https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-32-68 (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Sievietes
| Atsauces: | 1960, 1971, 1973, 1976, 1991: Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960-1994. International Journal of Obesity (1998);22:39-47 1975: Monteiro CA, Conde WL, Popking BM. Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. 2002. Public Health Nutrition:51(1A), 105-112 1988: National Health and Nutrition Survey ftp://ftp.fao.org/es/esn/nutrition/ncp/bah.pdf (last accessed 14th April 2010) 1992: Uauy R, Albal C, Kain J. Obesity Trends in Latin America: Transiting from Under-to Overweight. Journal of Nutrition 2001;131:S893-S899 1994, 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1997: Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196 1998: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999. Guatemala Encuesta Nacional de Salud Materno Infantil 1998-1999. Calverton, Maryland, USA: Instituto Nacional de Estadística - INE/Guatemala and Macro International. 1999: Centres for Disease Control and Prevention. http://www.cdc.gov/ 2000: Personal Communication from Dr C Sanchez Castillio, Body Mass Index cutoff points for Type 2 Diabetes Melliuts and Hypertension in the Mexican National Health Survey 2000. 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: 2003 ENS Report. Final results on the National Health Survey. Http://epi.minsal.cl/epi/html/invest/ENS/informeFinalENS.pdf. 2004: Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de la Situación Nutricional (ENSIN), 2005. (2006). Available at: https://www.icbf.gov.co/sites/default/files/libro_2005.pdf [Accessed 18.07.25] 2005: Cayemittes, Michel, Marie Florence Placide, Soumaïla Mariko, Bernard Barrère, Blaise Sévère, and Canez Alexandre. 2007. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2005-2006. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population, Institut Haïtien de l’Enfance and Macro International. 2006: Olaiz-Fernández G, Rivera-Dommarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Avila M, Sepúlveda-Amor J. Encuesta Nacional de Salud y Nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006. (National Health and Nutrition Survey 2006). 2007: Flegal KM, Carroll MD, Ogden CL and Curtin LR. (2010). Prevalence and trends in obesity among US adults, 1999-2008. Journal of the American Medical Association, 303 (3): 235 - 241. 2008: Ministério da Saúde. Pesquisa de Orcamentos Familiares 2008-9. Antrompoetria E Esado Nutricional de Crianças, Adolescentes E Adultos No Brasil. Instituto Brasileiro de Geografi a e Estatística (IBGE) 2010. 2009: NHANES Survey - Published in Flegal KM, Carrolll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999-2010. JAMA Published online January 17, 2012. doi: 10.1001/jama.2012.39 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-2291. doi:10.1001/jama.2016.6458. 2014: Ministerio de Salud Pública y Asistencia Social - MSPAS/Guatemala, Instituto Nacional de Estadística - INE/Guatemala, Secretaría de Planificación y Programación del la Presidencia - Segeplán/Guatemala and ICF International. 2017. Encuesta Nacional de Salud Materno Infantil 2014-2015: Informe Final. Rockville, Maryland, USA: MSPAS, INE, Segeplán and ICF International. 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Reanalysis of NHANES 2017/18 by Rachel Jackson Leach, Jaynaide Powis World Obesity Federation 2018: 4th National Survey, Full report available at https://www.indec.gob.ar/indec/web/Nivel4-Tema-4-32-68 (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 2023: Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Liekais svars/aptaukošanās pēc izglītības
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8563 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-49 |
| Izlases lielums: | 4943 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Perez Ferrer C, McMunn A, Rivera Dommarco JA, Brunner EJ. Educational Inequalities in Obesity among Mexican Women: Time-Trends from 1988 to 2012. Miranda JJ, ed. PLoS |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity Prevalence based on Education level in Rural areas |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-49 |
| Izlases lielums: | 9588 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Perez Ferrer C, McMunn A, Rivera Dommarco JA, Brunner EJ. Educational Inequalities in Obesity among Mexican Women: Time-Trends from 1988 to 2012. Miranda JJ, ed. PLoS |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity Prevalence based on Education level in Urban areas. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2009-2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 50+ |
| Izlases lielums: | 2032 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Rivas-Marino, G., Negin, J., Salinas-Rodríguez, A., Manrique-Espinoza, B., Sterner, K. N., Snodgrass, J. and Kowal, P. (2015), Prevalence of overweight and obesity in older Mexican adults and its association with physical activity and related factors: An analysis of the study on global ageing and adult health. Am. J. Hum. Biol., 27: 326–333. doi: 10.1002/ajhb.22642 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2020-2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 8363 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Valenzuela-Bravo DG, Morales-Ruan C, Rodríguez-Ramírez S, Méndez-Gómez-Humarán I,Ávila-Arcos MA, Álvarez-Sánchez C, Ávila-Curiel A,Díaz-Trejo LI, Espinosa-De Candido AF,Fajardo-Niquete IG, Perea-Martínez A,Véjar-Rentería LS, Villalpando-Carrión S.Overweight and obesity in Mexicanschool-aged children and adolescents. Salud Publica Mex. 2024;66:404-413.https://doi.org/10.21149/15842 [Accessed 10.07.25] |
| Definīcijas (pieejamas tikai angļu valodā): | Education level of the head of household |
| Cutoffs: | WHO |
Bērni, 2020-2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 6746 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Valenzuela-Bravo DG, Morales-Ruan C, Rodríguez-Ramírez S, Méndez-Gómez-Humarán I,Ávila-Arcos MA, Álvarez-Sánchez C, Ávila-Curiel A,Díaz-Trejo LI, Espinosa-De Candido AF,Fajardo-Niquete IG, Perea-Martínez A,Véjar-Rentería LS, Villalpando-Carrión S.Overweight and obesity in Mexicanschool-aged children and adolescents. Salud Publica Mex. 2024;66:404-413.https://doi.org/10.21149/15842 [Accessed 10.07.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Education level of the head of household |
| Cutoffs: | WHO |
0-5 years, 2020
| Izlases lielums: | 9891242 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua COVID-19, Mexico 2020 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2015
| Izlases lielums: | 7779 |
| Atsauces: | MICS: Encuesta Nacional de Niños, Niñas y Mujeres en México 2015 - Encuesta de Indicadores Múltiples por Conglomerados 2015, Resultados Principales, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2005-2006
| Izlases lielums: | 23488064 |
| Atsauces: | Other: Encuesta Nacional sobre Niveles de Vida de los Hogares (ENNViH), MxFLS-2, 2005-2006 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2002
| Izlases lielums: | 35080848 |
| Atsauces: | Other: Mexico Family Life Survey (MFLS) 2002 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 8563 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 16257 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 2716 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 4889 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 12371 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.25) |
| Cutoffs: | WHO |
Bērni, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 11937 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Cutoffs: | WHO |
Bērni, 2016
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 5765 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Cuevas-Nasu L, Gaona-Pineda EB,Gómez-Acosta LM, Morales-Ruán MC,Hernández-Ávila M, Rivera-Dommarco JA. Overweight and obesity in children and adolescents,2016 Halfway National Health and Nutrition Survey update. Salud Publica Mex 2018;60:244-253. |
| Cutoffs: | WHO |
Bērni, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | Large National Survey |
| Aptvertā teritorija: | Valsts |
| Atsauces: | La Encuesta Nacional de Salud y Nutrición 2012 (ENSANUT2012) http://ensanut.insp.mx/ (last accessed 4 April 2016) |
| Piezīmes (pieejamas tikai angļu valodā): | WHO Cut-Off |
| Cutoffs: | WHO |
Liekais svars/aptaukošanās pēc reģiona
Pieaugušie, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 5474 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8563 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 16257 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-49 |
| Izlases lielums: | 14531 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Perez Ferrer C, McMunn A, Rivera Dommarco JA, Brunner EJ. Educational Inequalities in Obesity among Mexican Women: Time-Trends from 1988 to 2012. Miranda JJ, ed. PLoS |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutricion, Resultados Nacionales 2012 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2009-2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 50+ |
| Izlases lielums: | 2032 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Rivas-Marino, G., Negin, J., Salinas-Rodríguez, A., Manrique-Espinoza, B., Sterner, K. N., Snodgrass, J. and Kowal, P. (2015), Prevalence of overweight and obesity in older Mexican adults and its association with physical activity and related factors: An analysis of the study on global ageing and adult health. Am. J. Hum. Biol., 27: 326–333. doi: 10.1002/ajhb.22642 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 1413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Zēni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 1413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Meitenes, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 1413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 1303 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Zēni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 1303 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Meitenes, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 1303 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Lazcano-Ponce EC, Cuevas-Nasu L, Romero-Martínez M, Gaona-Pineda EB, Gómez-Acosta LM, Mendoza-Alvarado LR, Méndez-Gómez-Humarán I. Encuesta Nacional de Salud y Nutrición Continua 2023. Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2024. |
| Cutoffs: | WHO |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 2569 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO |
Zēni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 2569 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO |
Meitenes, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 2569 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHO |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 2230 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHOShamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
Zēni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 2230 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHOShamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
Meitenes, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 2230 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
| Cutoffs: | WHOShamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | 6950 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.2025) |
| Cutoffs: | WHO 2007 |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5421 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.2025) |
| Cutoffs: | WHO 2007 |
Bērni, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5671 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Cutoffs: | WHO |
Zēni, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5671 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Cutoffs: | WHO |
Meitenes, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 12-19 |
| Izlases lielums: | 5671 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición 2018. https://ensanut.insp.mx/encuestas/ensanut2018/informes.php (Accessed 15.12.20) |
| Cutoffs: | WHO |
Bērni, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | Children aged 5-11yr: n=15111 |
| Aptvertā teritorija: | National: Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) |
| Atsauces: | Bonvecchio A, Safdie M, Monterrubio EA, Gust T, Villalpando S, Rivera JA. Overweight and obesity trends in Mexican children 2 to 18 years of age from 1988 to 2006. Salud Publica Mex 2009;51 suppl 4:S586-S594. |
| Piezīmes (pieejamas tikai angļu valodā): | Overweight and obesity were classified according to IOTF criteria, based on BMI measurements, with cutoff points for BMI based on an international reference population drafted from seven countries, specific for age and sex. Said cutoff points are a projection of the criteria proposed by WHO for diagnosing overweight (BMI of 25-29.9) and obesity (BMI of 30 or more) in adults. |
| Cutoffs: | IOTF |
Bērni, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | Children aged 5-11yr: n=15111 |
| Aptvertā teritorija: | National: Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) |
| Atsauces: | Bonvecchio A, Safdie M, Monterrubio EA, Gust T, Villalpando S, Rivera JA. Overweight and obesity trends in Mexican children 2 to 18 years of age from 1988 to 2006. Salud Publica Mex 2009;51 suppl 4:S586-S594. |
| Piezīmes (pieejamas tikai angļu valodā): | Overweight and obesity were classified according to IOTF criteria, based on BMI measurements, with cutoff points for BMI based on an international reference population drafted from seven countries, specific for age and sex. Said cutoff points are a projection of the criteria proposed by WHO for diagnosing overweight (BMI of 25-29.9) and obesity (BMI of 30 or more) in adults. |
| Cutoffs: | IOTF |
Zēni, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-17 |
| Izlases lielums: | 7862 Girls, 8947 Boys |
| Aptvertā teritorija: | Valsts |
| Atsauces: | del Rio-Navarro BE, Velaquez-Monroy O, Sanchez-Castillo CP et al. The High Prevalence of Overweight and Obesity in Mexican Children. Obesity Research 2004;12:215-223 |
| Cutoffs: | IOTF |
Meitenes, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-17 |
| Izlases lielums: | 7862 Girls, 8947 Boys |
| Aptvertā teritorija: | Valsts |
| Atsauces: | del Rio-Navarro BE, Velaquez-Monroy O, Sanchez-Castillo CP et al. The High Prevalence of Overweight and Obesity in Mexican Children. Obesity Research 2004;12:215-223 |
| Cutoffs: | IOTF |
0-5 years, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 10122251 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Encuesta Nacional de Salud y Nutrición Continua, Mexico 2022 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| Definīcijas (pieejamas tikai angļu valodā): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2021
| Izlases lielums: | 9771967 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua, Mexico 2021 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2020
| Izlases lielums: | 9891242 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua COVID-19, Mexico 2020 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2018-2019
| Izlases lielums: | 9483218 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2018. Cuernavaca, México: Instituto Nacional de Salud Pública, 2019 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016
| Izlases lielums: | 10892308 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición de Medio Camino ENSANUT MC 2016. Cuernavaca, México: Instituto Nacional de Salud Pública, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2015
| Izlases lielums: | 7779 |
| Atsauces: | MICS: Encuesta Nacional de Niños, Niñas y Mujeres en México 2015 - Encuesta de Indicadores Múltiples por Conglomerados 2015, Resultados Principales, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2005-2006
| Izlases lielums: | 9400075 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2002
| Izlases lielums: | 35080848 |
| Atsauces: | Other: Mexico Family Life Survey (MFLS) 2002 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1988
| Izlases lielums: | 8268127 |
| Atsauces: | NNS: Encuesta nacional de nutricion 1988. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 1990 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 8563 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Campos-Nonato I, Galván-Valencia O,Hernández-Barrera L, Oviedo-Solís C, Barquera S.Prevalence of obesity and associated risk factors in Mexican adults: results of the Ensanut 2022.Salud Publica Mex. 2023;65(supl 1): S238-S247.https://doi.org/10.21149/14809. Available at https://saludpublica.mx/index.php/spm/article/view/14809/12424 (last accessed 11.12.23) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2009-2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 50+ |
| Izlases lielums: | 2032 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Rivas-Marino, G., Negin, J., Salinas-Rodríguez, A., Manrique-Espinoza, B., Sterner, K. N., Snodgrass, J. and Kowal, P. (2015), Prevalence of overweight and obesity in older Mexican adults and its association with physical activity and related factors: An analysis of the study on global ageing and adult health. Am. J. Hum. Biol., 27: 326–333. doi: 10.1002/ajhb.22642 |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of obesity in older Mexican adults (50+) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2020-2022
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 12371 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Morales-Ruan C, Valenzuela-Bravo DG, Méndez-Gómez Humaran I, Ávila-Arcos MA. Prevalence of overweight and obesity in the school-age and adolescent population in Mexico. Ensanut Continua 2020-2022. Salud Publica Mex [Internet]. June 14, 2023;65:s218-s224. Available from: https://saludpublica.mx/index.php/spm/article/view/14762 (Accessed 15.05.25) |
| Piezīmes (pieejamas tikai angļu valodā): | Age 5-11: 6,950, Age 12-19: 5,421 |
| Definīcijas (pieejamas tikai angļu valodā): | Socioeconomic status refers to welfare condition which is based on housing characteristics and goods and services available in the home, as in previous Ensanut surveys. Low = tertile 1, middle = tertile 2, high = tertile 3. |
| Cutoffs: | WHO 2007 |
Bērni, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-11 |
| Izlases lielums: | Children aged 5-11yr: n=15111 |
| Aptvertā teritorija: | National: Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) |
| Atsauces: | Bonvecchio A, Safdie M, Monterrubio EA, Gust T, Villalpando S, Rivera JA. Overweight and obesity trends in Mexican children 2 to 18 years of age from 1988 to 2006. Salud Publica Mex 2009;51 suppl 4:S586-S594. |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity by Socioeconomic Level. Overweight and obesity were classified according to IOTF criteria, based on BMI measurements, with cutoff points for BMI based on an international reference population drafted from seven countries, specific for age and sex. Said cutoff points are a projection of the criteria proposed by WHO for diagnosing overweight (BMI of 25-29.9) and obesity (BMI of 30 or more) in adults. |
| Cutoffs: | IOTF |
0-5 years, 2020
| Izlases lielums: | 9891242 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición Continua COVID-19, Mexico 2020 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016
| Izlases lielums: | 10892308 |
| Atsauces: | Other: Encuesta Nacional de Salud y Nutrición de Medio Camino ENSANUT MC 2016. Cuernavaca, México: Instituto Nacional de Salud Pública, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2015
| Izlases lielums: | 7779 |
| Atsauces: | MICS: Encuesta Nacional de Niños, Niñas y Mujeres en México 2015 - Encuesta de Indicadores Múltiples por Conglomerados 2015, Resultados Principales, 2016 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2011-2012
| Izlases lielums: | 10785103 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2012. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2012 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2005-2006
| Izlases lielums: | 9400075 |
| Atsauces: | Other: Encuesta nacional de salud y nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1998-1999
| Izlases lielums: | 10125945 |
| Atsauces: | NNS: Encuesta nacional de nutricion 1999. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 2000 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 1988
| Izlases lielums: | 8268127 |
| Atsauces: | NNS: Encuesta nacional de nutricion 1988. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 1990 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta Nacional de Salud y Nutrición Continua, Mexico 2022 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta Nacional de Salud y Nutrición Continua, Mexico 2021 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta Nacional de Salud y Nutrición Continua COVID-19, Mexico 2020 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta nacional de salud y nutrición 2018. Cuernavaca, México: Instituto Nacional de Salud Pública, 2019 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta Nacional de Salud y Nutrición de Medio Camino ENSANUT MC 2016. Cuernavaca, México: Instituto Nacional de Salud Pública, 2016 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta Nacional de Niños, Niñas y Mujeres en México 2015 - Encuesta de Indicadores Múltiples por Conglomerados 2015, Resultados Principales, 2016 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2011-2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta nacional de salud y nutrición 2012. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2012 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2005-2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta nacional de salud y nutrición 2006. Cuernavaca, México: Instituto Nacional de Salud Pública, 2006 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Mexico Family Life Survey (MFLS) 2002 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1998-1999
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta nacional de nutricion 1999. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 2000 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1988
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Encuesta nacional de nutricion 1988. Instituto Nacional de Salud Publica. Cuernavaca, Mexico, 1990 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vīrieši, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Pieaugušie, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Bērni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Bērni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Bērni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Zēni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 1998-2023
| Atsauces: | Encuesta Nacional de Salud y Nutrición Continua, Mexico 2021 |
| Piezīmes (pieejamas tikai angļu valodā): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Barības vada vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Kolorektālais vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2243 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Paaugstināts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Non Hodgkin Lymphoma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Thyroid Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Present |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Present |
| Tax on unhealthy drinks? | Present |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Mandatory restriction on broadcast media? | Present |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present-(voluntary) |
| Are there mandatory standards for food in schools? | Present |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Present |
| National childhood obesity strategy? | Present |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated June 18, 2025
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