Argentīna
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valstī pastāvošie ar aptaukošanos saistītie riski *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Aptaukošanās risks bērnībā *8,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Aptaukošanās izplatība
Tendences, kas veidojas laika gaitā
Lejupielādēt ziņojumu kartīti
Ziņojuma kartītē apkopotas visas jaunākās grafikas izvēlētajai valstij. Ja vēlaties izveidot pielāgotu pārskatu, pamatojoties uz atlasītajām grafikām, vienkārši pieskarieties pogai "Pievienot pielāgotu PDF" zem grafikas, kuru vēlaties izmantot.Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Bezalkoholisko dzērienu patēriņš
Augļu patēriņš
Dārzeņu patēriņš
Ātrās ēdināšanas produktu 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
Lejupielādēt ziņojumu kartīti
Blakusslimības
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
Marķējums
NCD stratēģija
Multidisciplinary Intervention
Pārvaldības vai apstrādes vadlīnijas
School Food Regulations
Barošana ar krūti
Obesity Target
Multisectoral national mechanism for obesity
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 16577 |
Aptvertā teritorija: | Valsts |
Atsauces: | 4° Encuesta Nacional de Factores de Riesgo. Resultados definitivos. Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
Piezīmes (pieejamas tikai angļu valodā): | Self report data also available in report. |
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: | 18+ |
Izlases lielums: | 7367 |
Aptvertā teritorija: | Reģioni (pilsētas) |
Atsauces: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Piezīmes (pieejamas tikai angļu valodā): | Representative of 6 urban regions in Argentina. |
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
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 5000 |
Aptvertā teritorija: | Valsts |
Atsauces: | 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
Piezīmes (pieejamas tikai angļu valodā): | Trend also available by Region |
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, 2013
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 32365 |
Aptvertā teritorija: | Valsts |
Atsauces: | Third National Survey of Risk Factors for Noncommunicable Diseases. Argentina 2013. https://www.indec.gob.ar/ftp/cuadros/publicaciones/publicacion_enfr_2013.rar (Accessed 24.08.23) |
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, 2012-2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18-70 |
Izlases lielums: | 1194 |
Aptvertā teritorija: | Reģioni |
Atsauces: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
Piezīmes (pieejamas tikai angļu valodā): | Subnational (Rosario) |
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
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Atsauces: | 2nd Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf |
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, 2005
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Atsauces: | 1st Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf |
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, 2003
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18-65 |
Izlases lielums: | 1100 |
Aptvertā teritorija: | Sub National |
Atsauces: | Virgolini M, & Ferrante D. Validación de la Herramienta de la OPS para vigilancia de ENT en Argentina 2003. Ministerio de Salud y Ambiente de la Nación. WHO Report. (unpublished work). |
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, 1997
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20-79 |
Izlases lielums: | Not specified |
Atsauces: | Filozof C, Gonzales C, Sereday M, Mazza C, Braguinsky J. Obesity prevalence and trends in Latin American countries. Obesity Reviews, 2001;2:99-196. Personal Communication by Prof. Rafael Figueredo Grijalba |
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, 2018-2019
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 5-17 |
Izlases lielums: | ~8000 |
Aptvertā teritorija: | Reģioni (pilsētas) |
Atsauces: | 2° Encuesta Nacional de Nutrición 2018-2019. https://fagran.org.ar/wp-content/uploads/2020/01/Encuesta-nacional-de-nutricion-y-salud.pdf (Accessed 16.06.21) |
Piezīmes (pieejamas tikai angļu valodā): | Representative of 6 urban regions in Argentina. |
Cutoffs: | WHO |
Bērni, 2018
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 56981 |
Aptvertā teritorija: | Valsts |
Atsauces: | Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
Cutoffs: | WHO |
Bērni, 2012
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 28368 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) |
Piezīmes (pieejamas tikai angļu valodā): | WHO cutoffs. |
Cutoffs: | WHO |
Bērni, 2007
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 13-15 |
Izlases lielums: | 1980 |
Aptvertā teritorija: | Valsts |
Atsauces: | Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 |
Cutoffs: | WHO |
Bērni, 2005
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10 |
Izlases lielums: | 1693 |
Aptvertā teritorija: | Pilsētas |
Atsauces: | Kovalskys I, Rausch Herscovici C, De Gregorio MJ. Nutritional status of school-aged children of Buenos Aires, Argentina: data using three references.J Public Health (Oxf). 2011 Sep;33(3):403-11. doi: 10.1093/pubmed/fdq079. Epub 2010 Oct 12. |
Piezīmes (pieejamas tikai angļu valodā): | IOTF International Cut Off Points Children Aged 11 years also available in the paper |
Cutoffs: | IOTF |
% pieaugušo, kas cieš no aptaukošanās, 2005-2018
Men and women
Apsekojuma veids: | Pašu ziņojums |
Atsauces: | 1-4th Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). 4th (2018) Survey |
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 |
% bērnu, kas cieš no aptaukošanās, 2007-2018
Meitenes
Apsekojuma veids: | Pašu ziņojums |
Atsauces: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
Zēni
Apsekojuma veids: | Pašu ziņojums |
Atsauces: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
Boys and girls
Apsekojuma veids: | Pašu ziņojums |
Atsauces: | 2007: Global School-based Student Health Survey, Argentina 2007 Fact Sheet. Available at
https://www.who.int/ncds/surveillance/gshs/2007_Argentina_fact_sheet.pdf?ua=1 2012: Global School-based Student Health Survey (GSHS), available at https://www.who.int/ncds/surveillance/gshs/Argentina_GSHS_FS_2012_National.pdf?ua=1 (last accessed 25.11.20) 2018: Argentina Global School-Based Student Health Survey 2018. https://extranet.who.int/ncdsmicrodata/index.php/catalog/866/download/6099 (Accessed 13.07.21) |
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 |
% pieaugušo, kas cieš no aptaukošanās, atlasītās valstis, 1960-2022
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: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 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. 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: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
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: Berrios X, Jadue I, Zenteno J, Ross MI, Rodriguez H. Prevalencia de factores de riesgo para enfermedades cronicas. Estudio de la poblacion general de la region Metropolitana, 1986-1987. Rev. Med. Chile. 1990;118:597-604 1992, 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: Instituto Nacional de Estadistica e Informática - INEI/Perú and Macro International. 2001. Perú Encuesta Demográfica y de Salud Familiar 2000. Lima, Perú: INEI/Perú and Macro International. 2001: Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of Overweight and Obesity in the United States, 1999-2004. JAMA 2006;295(13):1549-1555 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. 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: Instituto Nacional de Estadística e Informática - INEI/Peru and ORC Macro. 2009. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: INEI/Peru and ORC Macro. 2008: Ramirez-Zea M, Kroker-Lobos MF, Close-Fernandez R, Kanter R. The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations. Am J Clin Nutr. 2014 Dec;100(6):1644S-51S. doi: 10.3945/ajcn.114.083857 2009: 2nd Argentinian National Survey of Risk Factors (Encuesta Nacional de Factores de Riesgo). Results from 1-3rd survey reported in the 4th survey report: https://www.indec.gob.ar/ftp/cuadros/publicaciones/enfr_2018_resultados_definitivos.pdf 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Ruopeng An, “Prevalence and Trends of Adult Obesity in the US, 1999–2012”, ISRN Obesity, vol. 2014, Article ID 185132, 6 pages, 2014. doi:10.1155/2014/185132 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: Instituto Nacional de Estadística e Informática - INEI/Perú. 2014. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: INEI/Peru. 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: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Encuesta Nacional de Salud. Chile. 2016-2017 https://www.minsal.cl/wp-content/uploads/2017/11/ENS-2016-17_PRIMEROS-RESULTADOS.pdf (Last accessed 04.08.20) 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Bahamas STEPS Survey (Preliminary results) https://www.bahamas.gov.bs/wps/wcm/connect/891fac39-ad7d-4aa8-ac54-39912a1afcea/Preliminary+Factsheet+v7+%28med+resl%27n%29.pdf?MOD=AJPERES (Accessed 03.11.2020) 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 |
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, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 16577 |
Aptvertā teritorija: | Valsts |
Atsauces: | 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
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. |
Vīrieši, 2012-2013
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 1194 |
Aptvertā teritorija: | Subnational (Rosario) |
Atsauces: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
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, 2012-2013
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 1194 |
Aptvertā teritorija: | Subnational (Rosario) |
Atsauces: | Zapata ME, Bibiloni MD and Tur JA. Prevalence of overweight, obesity, abdominal-obesity and short stature of adult population of Rosario, Argentina. (2016). 33(5):580. |
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, 2005
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 18+ |
Izlases lielums: | 41392 |
Aptvertā teritorija: | Valsts |
Atsauces: | "De Maio FG, Linetzky B, Virgolini M. An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina. Popul Health Metr. 2009 Jun 8;7:8. doi: 10.1186/1478-7954-7-8." |
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. |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 16577 |
Aptvertā teritorija: | Valsts |
Atsauces: | 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
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. |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 16577 |
Aptvertā teritorija: | Valsts |
Atsauces: | 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) |
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, 2005-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 18+ |
Izlases lielums: | 4328 |
Aptvertā teritorija: | Córdoba (the capital city of the state of Córdoba in the centre of Argentina) |
Atsauces: | Aballay LR, Osella AR, De La Quintana AG, and Diaz MP. Nutritional profile and obesity: results from a random sample population based study in Córdoba, Argentina. Eur J Nutr DOI 10.1007/s00394-015-0887-0 |
Piezīmes (pieejamas tikai angļu valodā): | Socio-economic status (SES) was built as a composite indicator following the Argentine Marketing Association’s guidelines, which include four domains: educational level, job, housing, and amenities. |
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. |
Nepietiekamas fiziskās aktivitātes
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) |
Bērni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
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) |
Gāzēto bezalkoholisko dzērienu vidējais patēriņa biežums dienā
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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) |
Augļu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definīcijas (pieejamas tikai angļu valodā): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Dārzeņu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars
Bērni, 2009-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Definīcijas (pieejamas tikai angļu valodā): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vidējais ātrās ēdināšanas iestāžu apmeklēšanas biežums nedēļā
Bērni, 2009-2015
Vecums: | 12-17 |
Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
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, 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 |
Garīgā veselība – trauksmes problēmas
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 |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
Bērni, 1998-2019
Aptvertā teritorija: | Valsts |
Atsauces: | Encuesta de Indicadores Múltiples por Conglomerados 2011/2012, Informe Final. Buenos Aires, Argentina |
Piezīmes (pieejamas tikai angļu valodā): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definīcijas (pieejamas tikai angļu valodā): | % exclusively breastfed 0-5 months |
Barības vada vēzis
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 10.01.2031 |
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Kolorektālais vēzis
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 10.01.2031 |
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
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 10.01.2031 |
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
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 10.01.2031 |
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
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 10.01.2031 |
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 10.01.2031 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
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 10.01.2031 |
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, 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 (%). |
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)? | Incoming |
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? | Present |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
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? | Absent |
Comprehensive nutrition strategy? | Present |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Present |
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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated January 31, 2023
Download contextual factors as a PDF Contextual factors definitions