Kolumbija
Upper-middle income
- P?rskats
- Aptaukoan?s izplat?ba
- Tendences, kas veidojas laika gait?
- Iedz?vot?ju sadal?jums
- Ietekm?jošie faktori
- Blakusslim?bas
- Ekonomisk? ietekme
- Politikas (pieejamas tikai ang?u valod?)
- Contextual factors
Report cards
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Iedz?vot?ju sadal?jums
Ietekm?jošie faktori
Nepietiekamas aktivit?tes
Aug?u pat?ri?
P?rstr?d?tas ga?as pat?ri?
Graudaugu pat?ri?
Depresija
Trauksme
Aptaukoan?s c?lo?i »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Baroana ar kr?ti
Unaffordable diet
Lejupiel?d?t zi?ojumu kart?ti
Blakusslim?bas
Bar?bas vada v?zis
Kr?ts dziedzera v?zis
Kolorekt?lais v?zis
Aizku??a dziedzera v?zis
ultsp??a v?zis
Nieru v?zis
Dzemdes v?zis
Paaugstin?ts asinsspiediens
Paaugstin?ts holester?na l?menis
Paaugstin?ts glikozes l?menis asin?s
Diab?ta izplat?ba
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Lejupiel?d?t zi?ojumu kart?ti
Ekonomisk? ietekme
Politikas (pieejamas tikai ang?u valod?)
Valsts strat??ija attiec?b? uz aptaukoanos
Strat??ija uztura vai vesel?bas jom?
M?rketings
Fiziska aktivit?te
Nodok?i/subs?dijas p?rtikai vai dz?rieniem
Sabiedr?bas iniciat?vas
Starptautisk?s strat??ijas saist?b? ar aptaukoanos
Mar??jums
Training
Non-national strategies
School Food Regulations/Guidelines
Baroana ar kr?ti
Multisectoral national mechanism for obesity
Lejupiel?d?t zi?ojumu kart?ti
Contextual factors
Aptaukoan?s izplat?ba
Pieauguie, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-80 |
| Izlases lielums: | 1768 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Piez?mes (pieejamas tikai ang?u valod?): | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population of Colombia % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 16.12.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,922 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 43723 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
| Piez?mes (pieejamas tikai ang?u valod?): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 162331 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 38143 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2005. Colombia Salud Sexual y Reproductiva: Resultados Encuesta Nacional de Demografía y Salud 2005. Bogotá, Colombia: Profamilia. |
| Piez?mes (pieejamas tikai ang?u valod?): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2004-2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 65,178 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | 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] |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2000
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 3070 |
| Atsauces: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 1995
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 3319 |
| Atsauces: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| Piez?mes (pieejamas tikai ang?u valod?): | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 2-17 |
| Izlases lielums: | 347 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Piez?mes (pieejamas tikai ang?u valod?): | It is understood that measurements were taken but possiblity it may be parental report, unclear. NB. Small sample size |
| Cutoffs: | WHO |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 13-17 |
| Izlases lielums: | 12,918 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 17.07.25] |
| Cutoffs: | WHO |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 21,621 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 17.07.25] |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 13-17 |
| Izlases lielums: | 18177 |
| Atsauces: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-9 |
| Izlases lielums: | 19,369 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | ENSIN 2010. Available at https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-17 |
| Izlases lielums: | 49,877 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | ENSIN 2010. Available at https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Cutoffs: | WHO |
B?rni, 2004-2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-9 |
| Izlases lielums: | 14,591 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | 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] |
| Cutoffs: | WHO |
0-5 years, 2015-2016
| Vecums: | 0-5 |
| Izlases lielums: | 4082658 |
| Atsauces: | NNS: Colombia National Survey of the Nutritional Situation 2015 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2009-2010
| Vecums: | 0-5 |
| Izlases lielums: | 15794 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Vecums: | 0-5 |
| Izlases lielums: | 12823 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2000
| Vecums: | 0-5 |
| Izlases lielums: | 4080 |
| Atsauces: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1995
| Vecums: | 0-5 |
| Izlases lielums: | 4426 |
| Atsauces: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Meitenes, 1995
| Vecums: | 0-5 |
| Izlases lielums: | 4427 |
| Atsauces: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1986
| Vecums: | 0-5 |
| Izlases lielums: | 1328 |
| Atsauces: | DHS: Tercera encuesta nacional de prevalencia del uso de anticonceptivos y primera de demografia y salud, 1986. Demographic and Health Surveys. Institute for Resource Development. Bogota, Colombia, 1988 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
% Adults living with obesity in Colombia, 2004-2015
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Men and women
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
V?riei
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Adults living with overweight or obesity in Colombia, 2004-2015
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Men and women
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
V?riei
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 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] 2010: ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) 2015: ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 18.07.25) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, atlas?t?s valstis
V?riei
| 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: 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: 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. 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: 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 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: 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: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 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: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 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 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: 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: Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation 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. |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los 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: 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: 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. 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: 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 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: 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: FERREIRA, Arthur Pate de Souza; SZWARCWALD, Célia Landmann and DAMACENA, Giseli Nogueira. Prevalence of obesity and associated factors in the Brazilian population: a study of data from the 2013 National Health Survey. Rev. bras. epidemiol. [online]. 2019, vol.22 [cited 2019-05-16], e190024. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000100420&lng=en&nrm=iso. Epub Apr 01, 2019. ISSN 1415-790X. http://dx.doi.org/10.1590/1980-549720190024. 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: Encuesta Nacional de Salud y Nutrición de Medio Camino 2016 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 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: 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: Reanalysis of NHANES 2021-2023 by Rachel Jackson Leach, World Obesity Federation 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. |
| o datu apkopoanai, iesp?jams, ir izmantotas da?das metodikas, t?p?c da?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Liekais svars/aptaukoan?s p?c izgl?t?bas
V?riei, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-80 |
| Izlases lielums: | 1768 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-80 |
| Izlases lielums: | 1768 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-75 |
| Izlases lielums: | 1537 |
| Aptvert? teritorija: | Pils?tas |
| Atsauces: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,602 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Highest level of completed education |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 21,497 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Highest level of completed education of the head of household |
| Cutoffs: | WHO |
Meitenes, 2009-2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 6658 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
| Defin?cijas (pieejamas tikai ang?u valod?): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
B?rni, 2006
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 3202 |
| Aptvert? teritorija: | City of Bogotá |
| Atsauces: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
| Piez?mes (pieejamas tikai ang?u valod?): | Prevalence of overweight and obesity by Maternal Education. The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
| Cutoffs: | IOTF |
0-5 years, 2015-2016
| Izlases lielums: | 4082658 |
| Atsauces: | NNS: Colombia National Survey of the Nutritional Situation 2015 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2009-2010
| Izlases lielums: | 15794 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 12823 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2000
| Izlases lielums: | 4080 |
| Atsauces: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1995
| Izlases lielums: | 4426 |
| Atsauces: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1986
| Izlases lielums: | 1328 |
| Atsauces: | DHS: Tercera encuesta nacional de prevalencia del uso de anticonceptivos y primera de demografia y salud, 1986. Demographic and Health Surveys. Institute for Resource Development. Bogota, Colombia, 1988 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukoan?s p?c vecuma
Pieauguie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 1537 |
| Aptvert? teritorija: | Pils?tas |
| Atsauces: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 151,343 |
| Aptvert? teritorija: | Valsts |
| Piez?mes (pieejamas tikai ang?u valod?): | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 91115 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-17 |
| Izlases lielums: | 18177 |
| Atsauces: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
| Piez?mes (pieejamas tikai ang?u valod?): | WHO Cut off |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 34,539 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 13-14 |
| Izlases lielums: | 18177 |
| Atsauces: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
| Piez?mes (pieejamas tikai ang?u valod?): | WHO Cut off |
| Cutoffs: | WHO |
B?rni, 2006
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 3202 |
| Aptvert? teritorija: | City of Bogotá |
| Atsauces: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
| Piez?mes (pieejamas tikai ang?u valod?): | The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
| Cutoffs: | Other |
Liekais svars/aptaukoan?s p?c re?iona
Pieauguie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-75 |
| Izlases lielums: | 1537 |
| Aptvert? teritorija: | Pils?tas |
| Atsauces: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,922 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,922 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Population of municipality and those living outside a municipality |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 91115 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
| Piez?mes (pieejamas tikai ang?u valod?): | |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 91115 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
| Piez?mes (pieejamas tikai ang?u valod?): | |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 21,621 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Population of municipality |
| Cutoffs: | WHO |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 21,621 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Obesity prevalence in Bogotá flagged for moderate variability and should be used with caution. Subregional data also available in report. |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 13-17 |
| Izlases lielums: | 18177 |
| Atsauces: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
| Piez?mes (pieejamas tikai ang?u valod?): | WHO Cut off |
| Cutoffs: | WHO |
0-5 years, 2009-2010
| Izlases lielums: | 15794 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 12823 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2000
| Izlases lielums: | 4080 |
| Atsauces: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1995
| Izlases lielums: | 4426 |
| Atsauces: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1986
| Izlases lielums: | 1328 |
| Atsauces: | DHS: Tercera encuesta nacional de prevalencia del uso de anticonceptivos y primera de demografia y salud, 1986. Demographic and Health Surveys. Institute for Resource Development. Bogota, Colombia, 1988 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukoan?s p?c soci?lekonomisk?s grupas
V?riei, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-80 |
| Izlases lielums: | 1768 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-80 |
| Izlases lielums: | 1768 |
| Aptvert? teritorija: | Tikai pils?tas |
| Atsauces: | Cuellar-Rodríguez V, Pérez-Londoño A, Guatibonza-García V, et al. Progression of obesity and abdominal obesity after the COVID-19 pandemic in Colombia: a comparison of two cross-sectional population-based studies. BMJ Public Health 2025;3:e001075. doi:10.1136/ bmjph-2024-001075 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-75 |
| Izlases lielums: | 1537 |
| Aptvert? teritorija: | Pils?tas |
| Atsauces: | Jimenez-Mora, Mario A et al. “Association of Overweight, Obesity and Abdominal Obesity with Socioeconomic Status and Educational Level in Colombia.” Diabetes, metabolic syndrome and obesity : targets and therapy vol. 13 1887-1898. 3 Jun. 2020, doi:10.2147/DMSO.S244761 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,922 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Household wealth index level |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Pieauguie, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 91115 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Nicole M Kasper, Oscar F Herrán and Eduardo Villamor (2014). Obesity prevalence in Colombian adults is increasing fastest in lower socio-economic status groups and urban residents: results from two nationally representative surveys. Public Health Nutrition, 17, pp 2398-2406. doi:10.1017/S1368980013003418. |
| Piez?mes (pieejamas tikai ang?u valod?): | Obesity prevalence by wealth index quintile. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 21,621 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Household wealth index level |
| Cutoffs: | WHO |
B?rni, 2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 13-17 |
| Izlases lielums: | 18177 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Rincón-Pabón, D., Urazán-Hernández, Y., & González-Santamaría, J. (2019). Association between the time spent watching television and the sociodemographic characteristics with the presence of overweight and obesity in Colombian adolescents (secondary analysis of the ENSIN 2010). PloS one, 14(5), e0216455. https://doi.org/10.1371/journal.pone.0216455 |
| Piez?mes (pieejamas tikai ang?u valod?): | WHO Cut off |
| Cutoffs: | WHO |
B?rni, 2006
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 3202 |
| Aptvert? teritorija: | City of Bogotá |
| Atsauces: | McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight Is More Prevalent Than Stunting and Is Associated with Socioeconomic Status, Maternal Obesity, and a Snacking Dietary Pattern in School Children from Bogotá, Colombia. The Journal of Nutrition. 2009;139(2):370-376. doi:10.3945/jn.108.098111. |
| Piez?mes (pieejamas tikai ang?u valod?): | Prevalence of overweight and obesity by household socio-economic stratum. The study population is representative of low- and middle-income families from Bogotá, considering that the public school system enrolled 57% of all primary school children in the city by the end of 2005 and 89% of them were from low- and middle-income families. Child overweight or obesity was defined according to BMI cut-off points for sex and age corresponding to ≥25 in adults, following the International Obesity Task Force (IOTF) recommendations |
| Cutoffs: | IOTF |
0-5 years, 2009-2010
| Izlases lielums: | 15794 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 12823 |
| Atsauces: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2000
| Izlases lielums: | 4080 |
| Atsauces: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1995
| Izlases lielums: | 4426 |
| Atsauces: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukoan?s p?c etnisk?s pieder?bas
Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.
Pieauguie, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18-64 |
| Izlases lielums: | 74,200 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
B?rni, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-12 |
| Izlases lielums: | 20,382 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Libro ENSIN 2015. (2020). Available at: https://www.minsalud.gov.co/ [Accessed 18.07.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | NB. Obesity prevalence in indigenous population flagged for high variability, estimate should be used with caution |
| Cutoffs: | WHO |
Double burden of underweight & overweight
Pieauguie, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age Standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
B?rni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Colombia National Survey of the Nutritional Situation 2015 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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, 2009-2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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, 2004-2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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, 2000
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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, 1995
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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, 1986
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tercera encuesta nacional de prevalencia del uso de anticonceptivos y primera de demografia y salud, 1986. Demographic and Health Surveys. Institute for Resource Development. Bogota, Colombia, 1988 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 fizisk?s aktivit?tes
Pieauguie, 2022
| Apsekojuma veids: | Pau zi?ojums |
| Vecums: | 18+ |
| Aptvert? 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)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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. |
V?riei, 2022
| Apsekojuma veids: | Pau zi?ojums |
| Vecums: | 18+ |
| Aptvert? 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)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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: | Pau zi?ojums |
| Vecums: | 18+ |
| Aptvert? 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)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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. |
Pieauguie, 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 |
V?riei, 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 |
B?rni, 2016
| Apsekojuma veids: | Pau zi?ojums |
| 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) |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2016
| Apsekojuma veids: | Pau zi?ojums |
| 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) |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pau zi?ojums |
| 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) |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
B?rni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | % 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieauguie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
Pieauguie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieauguie, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita whole grains intake (g/day) |
Gar?g? vesel?ba depresijas trauc?jumi
Pieauguie, 2021
| Vecums: | 20+ |
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
V?riei, 2021
| Vecums: | 20+ |
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
Pieauguie, 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with depression disorders |
B?rni, 2021
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Z?ni, 2021
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvert? 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) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Gar?g? vesel?ba trauksmes probl?mas
Pieauguie, 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). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
V?riei, 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). |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
Pieauguie, 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with anxiety disorders |
B?rni, 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) |
Z?ni, 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) |
% z?dai?i, kas pirmos 5 m?neus baroti tikai ar kr?ti
0-5 years, 1998-2023
| Atsauces: | Colombia National Survey of the Nutritional Situation 2015 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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
Pieauguie, 2024
| Aptvert? teritorija: | Valsts |
| Atsauces: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | The percent of the population whose food budget is below the cost of a healthy diet. |
Pieauguie, 2022
| Aptvert? 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. |
Bar?bas vada v?zis
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?riei, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Kr?ts dziedzera v?zis
Sievietes, 2022
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Kolorekt?lais v?zis
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?riei, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Aizku??a dziedzera v?zis
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?riei, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
ultsp??a v?zis
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?riei, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Nieru v?zis
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?riei, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Dzemdes v?zis
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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? 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 10.01.2091 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Paaugstin?ts asinsspiediens
Pieauguie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
V?riei, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstin?ts holester?na l?menis
Pieauguie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
V?riei, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstin?ts glikozes l?menis asin?s
V?riei, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diab?ta izplat?ba
Pieauguie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieauguie, 2021
| Vecums: | 20-79 |
| Aptvert? 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-adjusted comparative prevalence of diabetes, % |
Pieauguie, 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Diabetes age-adjusted comparative prevalence (%). |
Pieauguie, 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Leukemia
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Liver and intrahepatic bile duct Cancer
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Multiple Myeloma
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Non Hodgkin Lymphoma
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25kg l?dz 29,9kg/m, aptaukoan?s attiecas uz ?MI, kas liel?ks par 30kg/m. | |
Thyroid Cancer
V?riei, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? 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] |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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)? | Incoming |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| 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? | Present |
| 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? | Absent |
| 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? | 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? | Absent |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated August 4, 2025
Download contextual factors as a PDF Contextual factors definitions