Колумбия
- Общ преглед
- Разпространение на затлъстяването
- Тенденции във времето
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Икономическо въздействие
- Политики
- Contextual factors
Зареждане на данни. Изчакайте...
?????????? ???? ?? ???????????? *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.???? ?? ???????????? ? ?????? ??????? *6,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Разпространение на затлъстяването
Тенденции във времето
Изтегляне на карта за отчитане
Картата за отчитане събира всички най-нови графики за тази държава. Ако искате да създадете персонализирано отчитане въз основа на избрани графики, просто докоснете бутона „Добавяне към персонализиран PDF“ под графиките, които искате да използвате.Разбивки на населението
Причини
Недостатъчна активност
Консумация на плодове
Консумация на преработено месо
Консумация на зърнени култури
Депресия
Тревожност
Причини за затлъстяването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Изтегляне на карта за отчитане
Съпътстващи заболявания
Икономическо въздействие
Политики
Contextual factors
Разпространение на затлъстяването
Възрастни, 2018
Тип анкета: | Измерено |
Възраст: | 18-75 |
Количество на пробите: | 1537 |
Обхваната зона: | Градски |
Референции: | 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 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2015-2016
Тип анкета: | Измерено |
Възраст: | 18-64 |
Количество на пробите: | 151343 |
Обхваната зона: | Национално |
Референции: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Забележки: | Sample size includes children |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2010
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 43723 |
Обхваната зона: | Национално |
Референции: | Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2010
Тип анкета: | Измерено |
Възраст: | 18-64 |
Количество на пробите: | 162331 |
Обхваната зона: | Национално |
Референции: | ENSIN 2010. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Възрастни, 2005
Тип анкета: | Измерено |
Възраст: | 18-64 |
Количество на пробите: | 31105 |
Обхваната зона: | Национално |
Референции: | Kasper NM, Herrán OF, Villamor E. 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(11), 2398–2406 doi:10.1017/S1368980013003418 |
Забележки: | 18679 Females and 12426 Males |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2005
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 38143 |
Обхваната зона: | Национално |
Референции: | 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. |
Забележки: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 2000
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 3070 |
Референции: | SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Жени, 1995
Тип анкета: | Измерено |
Възраст: | 15-49 |
Количество на пробите: | 3319 |
Референции: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Забележки: | 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 |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Деца, 2018
Тип анкета: | Измерено |
Възраст: | 5-17 |
Количество на пробите: | 385 |
Обхваната зона: | Градски |
Референции: | 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 |
Забележки: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. |
Определения: | Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
Деца, 2010
Тип анкета: | Измерено |
Възраст: | 13-17 |
Количество на пробите: | 18177 |
Референции: | 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 |
Infants, 2015-2016
Възраст: | 0-5 |
Количество на пробите: | 4082658 |
Референции: | NNS: Colombia National Survey of the Nutritional Situation 2015 |
Забележки: | 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. |
Определения: | =>+2SD |
Infants, 2009-2010
Възраст: | 0-5 |
Количество на пробите: | 15794 |
Референции: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
Забележки: | 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. |
Определения: | =>+2SD |
Infants, 2004-2005
Възраст: | 0-5 |
Количество на пробите: | 12823 |
Референции: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
Забележки: | 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. |
Определения: | =>+2SD |
Infants, 2000
Възраст: | 0-5 |
Количество на пробите: | 4080 |
Референции: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
Забележки: | 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. |
Определения: | =>+2SD |
Момичета, 1995
Възраст: | 0-5 |
Количество на пробите: | 4427 |
Референции: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
Забележки: | 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. |
Определения: | =>+2SD |
Infants, 1995
Възраст: | 0-5 |
Количество на пробите: | 4426 |
Референции: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
Забележки: | 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. |
Определения: | =>+2SD |
Infants, 1986
Възраст: | 0-5 |
Количество на пробите: | 1328 |
Референции: | 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 |
Забележки: | 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. |
Определения: | =>+2SD |
% Adults living with obesity in Colombia 1995-2010
??? ??????: | ???????? |
??????????: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: 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. 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? |
% Adults living with overweight or obesity in Colombia 1995-2010
??????????: | 1995: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2000: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2005: 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. 2010: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². | |
?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? |
% Adults living with obesity in selected countries in the Americas Region 1960-2018, ??????? ???????
????
??????????: | 1960, 1971, 1973, 1976, 1988, 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 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 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: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 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: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: 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: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? |
????
??????????: | 1960, 1971, 1973, 1976, 1988, 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 1992: Arroyo et al. Prevalence of Pre-Obesity and Obesity in Urban Adult Mexicans in Comparison with other Large Surveys. Obesity Research. 2000;8:179-185 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: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2001: N Brathwaite, A Brathwaite, M Taylor. The Socio-economic Determinants of Obesity in Adults in the Bahamas.West Indian Med J 2011; 60 (4): 434 2002: Monteiro CA, Conde WL and Popkin BA. (2007). Income-specific trends in obesity in Brazil: 1975 - 2003. American Journal of Public Health, 97 (10): 1808 - 1812. 2003: Ogden CL, Carroll MD, Curtin LR, McDowell MA,Tabak CJ, & Flegal KM. (2006). Prevalence of Overweight and Obesity in the United States, 1999-2004. The Journal of the American Medical Association, Vol 295(13):1549 - 1555. 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: Ojeda, Gabriel, Myriam Ordonez, and Luis Hernando Ochoa. 2011. Colombia Encuesta Nacional de Demografía y Salud 2010. Bogotá, Colombia: Profamilia. 2011: Bahamas STEPS Survey 2012 Fact Sheet available at https://www.bahamas.gov.bs/wps/wcm/connect/9cfc74bb-a548-4660-b5b9-f570b47fec71/FactSheet_-2013+BAH+-+060314+Update+Final.pdf?MOD=AJPERES 2012: Cayemittes, Michel, Michelle Fatuma Busangu, Jean de Dieu Bizimana, Bernard Barrère, Blaise Sévère, Viviane Cayemittes and Emmanuel Charles. 2013. Enquête Mortalité, Morbidité et Utilisation des Services, Haïti, 2012. Calverton, Maryland, USA: Ministère de la Santé Publique et de la Population - MSPP/Haïti , l’Institut Haïtien de l’Enfance - IHE, and ICF International. 2013: 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: NHANES 2015/16. Analysis conducted by the World Obesity Federation, Caroline Litts, Fiona Montague & R Jackson-Leach 2017 2016: Institut Haïtien de l’Enfance - IHE and ICF. 2018. Enquête Mortalité, Morbidité et Utilisation des Services - EMMUS-VI 2016-2017 Pétion-Ville, Haïti, et Rockville, Maryland, USA : IHE et ICF. 2017: Pickens, C. M., Flores-Ayala, R., Addo, O. Y., Whitehead, R. D., Jr, Palmieri, M., Ramirez-Zea, M., Hong, Y., & Jefferds, M. E. (2020). Prevalence and Predictors of High Blood Pressure Among Women of Reproductive Age and Children Aged 10 to 14 Years in Guatemala. Preventing chronic disease, 17, E66. https://doi.org/10.5888/pcd17.190403 2018: 4th National Survey, Full report available at http://www.msal.gob.ar/images/stories/bes/graficos/0000001622cnt-2019-10_4ta-encuesta-nacional-factores-riesgo.pdf (last accessed 29.04.20) 2019: Pesquisa nacional de saúde : 2019 : ciclos de vida : Brasil / IBGE, Coordenação de Trabalho e Rendimento. - Rio de Janeiro : IBGE, 2021. Available at https://www.ibge.gov.br/en/statistics/social/health/16840-national-survey-of-health.html?=&t=resultados (last accessed 04.04.23) 2020: INEI (2021) Peru Encuesta Demografica y de Salud Familiar Endes 2020. Available at https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/ (last accessed 28.03.23) 2021: Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, Lazcano-Ponce E,Martínez-Barnetche J, Alpuche-Arana C, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2022. https://ensanut.insp.mx/encuestas/ensanutcontinua2021/informes.php (Accessed 03.01.2023) 2022: Perú: Encuesta Demográfica y de Salud Familiar 2022 - Nacional y Departamental. Available at https://www.gob.pe/institucion/inei/informes-publicaciones/4233597-peru-encuesta-demografica-y-de-salud-familiar-endes-2022 |
?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? |
?????????? ?????/???????????? ?? ???????????
?????????, 2018
??? ??????: | ???????? |
???????: | 18-75 |
?????????? ?? ???????: | 1537 |
????????? ????: | ??????? |
??????????: | 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 |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
????????, 2009-2010
??? ??????: | ???????? |
???????: | 15-19 |
?????????? ?? ???????: | 6658 |
????????? ????: | ?????????? |
??????????: | 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. |
???????????: | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
Cutoffs: | WHO 2007 |
????, 2006
??? ??????: | ???????? |
???????: | 5-12 |
?????????? ?? ???????: | 3202 |
????????? ????: | City of Bogotá |
??????????: | 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. |
?????????: | 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 |
Infants, 2015-2016
?????????? ?? ???????: | 4082658 |
??????????: | NNS: Colombia National Survey of the Nutritional Situation 2015 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2009-2010
?????????? ?? ???????: | 15794 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2004-2005
?????????? ?? ???????: | 12823 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2000
?????????? ?? ???????: | 4080 |
??????????: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 1995
?????????? ?? ???????: | 4426 |
??????????: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 1986
?????????? ?? ???????: | 1328 |
??????????: | 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 |
?????????: | 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. |
???????????: | =>+2SD |
?????????? ?????/???????????? ?? ???????
?????????, 2018
??? ??????: | ???????? |
?????????? ?? ???????: | 1537 |
????????? ????: | ??????? |
??????????: | 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 |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2010
??? ??????: | ???????? |
?????????? ?? ???????: | 91115 |
????????? ????: | ?????????? |
??????????: | 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. |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2010
??? ??????: | ???????? |
???????: | 15-17 |
?????????? ?? ???????: | 18177 |
??????????: | 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 |
?????????: | WHO Cut off |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
????, 2018
??? ??????: | ???????? |
?????????? ?? ???????: | 385 |
????????? ????: | ??????? |
??????????: | 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 |
?????????: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
????, 2010
??? ??????: | ???????? |
???????: | 13-14 |
?????????? ?? ???????: | 18177 |
??????????: | 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 |
?????????: | WHO Cut off |
Cutoffs: | WHO |
????, 2006
??? ??????: | ???????? |
?????????? ?? ???????: | 3202 |
????????? ????: | City of Bogotá |
??????????: | 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. |
?????????: | 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 |
?????????? ?????/???????????? ?? ??????
?????????, 2018
??? ??????: | ???????? |
???????: | 18-75 |
?????????? ?? ???????: | 1537 |
????????? ????: | ??????? |
??????????: | 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 |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2015-2016
??? ??????: | ???????? |
???????: | 18-64 |
?????????? ?? ???????: | 151343 |
????????? ????: | ?????????? |
??????????: | ENSIN 2015. Available at https://www.minsalud.gov.co/ (last accessed 05.10.20) |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2010
??? ??????: | ???????? |
???????: | 18-64 |
?????????? ?? ???????: | 91115 |
????????? ????: | ?????????? |
??????????: | 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. |
?????????: | |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2010
??? ??????: | ???????? |
???????: | 18-64 |
?????????? ?? ???????: | 91115 |
????????? ????: | ?????????? |
??????????: | 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. |
?????????: | |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
????, 2018
??? ??????: | ???????? |
???????: | 5-17 |
?????????? ?? ???????: | 385 |
????????? ????: | ??????? |
??????????: | 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 |
?????????: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
????, 2010
??? ??????: | ???????? |
???????: | 13-17 |
?????????? ?? ???????: | 18177 |
??????????: | 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 |
?????????: | WHO Cut off |
Cutoffs: | WHO |
Infants, 2009-2010
?????????? ?? ???????: | 15794 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2004-2005
?????????? ?? ???????: | 12823 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2000
?????????? ?? ???????: | 4080 |
??????????: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 1995
?????????? ?? ???????: | 4426 |
??????????: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 1986
?????????? ?? ???????: | 1328 |
??????????: | 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 |
?????????: | 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. |
???????????: | =>+2SD |
?????????? ?????/???????????? ?? ????????-???????????? ?????
?????????, 2018
??? ??????: | ???????? |
???????: | 18-75 |
?????????? ?? ???????: | 1537 |
????????? ????: | ??????? |
??????????: | 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 |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
?????????, 2010
??? ??????: | ???????? |
???????: | 18-64 |
?????????? ?? ???????: | 91115 |
????????? ????: | ?????????? |
??????????: | 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. |
?????????: | Obesity prevalence by wealth index quintile. |
????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25 kg ? 29,9°kg/m², ?????????????? ?? ?????? ?? ???, ??-????? ?? 30°kg/m². |
????, 2018
??? ??????: | ???????? |
???????: | 5-17 |
?????????? ?? ???????: | 385 |
????????? ????: | ??????? |
??????????: | 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 |
?????????: | PLEASE NOTE SMALL SAMPLE SIZE Conflicting age ranges presented in paper. The Child data may be either 2-17 years of 5-17 years. It has been assumed 5-17 years, though author has been contacted to confirm. Cut offs. 25-59 months BMI for Age Z Score >1 ≤ 3 for overweight, >3 Obesity 5-17 years BMI for Age Z Score >1 ≤ 2 for overweight, > 2 Obesity |
????, 2010
??? ??????: | ???????? |
???????: | 13-17 |
?????????? ?? ???????: | 18177 |
????????? ????: | ?????????? |
??????????: | 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 |
?????????: | WHO Cut off |
Cutoffs: | WHO |
????, 2006
??? ??????: | ???????? |
???????: | 5-12 |
?????????? ?? ???????: | 3202 |
????????? ????: | City of Bogotá |
??????????: | 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. |
?????????: | 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 |
Infants, 2009-2010
?????????? ?? ???????: | 15794 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia 2010 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2004-2005
?????????? ?? ???????: | 12823 |
??????????: | DHS: Encuesta Nacional de la Situacion Nutricional en Colombia (ENSIN) 2005 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 2000
?????????? ?? ???????: | 4080 |
??????????: | DHS: Salud sexual y reproductiva en Colombia, encuesta nacional de demografia y salud 2000. Demographic and Health Surveys. Bogota, Colombia: PROFAMILIA, 2000 |
?????????: | 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. |
???????????: | =>+2SD |
Infants, 1995
?????????? ?? ???????: | 4426 |
??????????: | DHS: Encuesta nacional de demografia y salud 1995. Demographic and Health Surveys. Bogota, Colombia, 1995 |
?????????: | 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. |
???????????: | =>+2SD |
???????????? ????????? ?????????
?????????, 2016
??????????: | 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 |
????, 2016
??????????: | 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 |
????, 2016
??????????: | 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 |
????, 2016
??? ??????: | ???????????? |
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
???????, 2016
??? ??????: | ???????????? |
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
??? ??????: | ???????????? |
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
????, 2010
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
???????, 2010
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2010
???????: | 11-17 |
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
?????????: | % 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. |
???????????: | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
?????????, 2017
??? ??????: | ???????? |
???????: | 25+ |
??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
???????????: | Estimated per-capita fruit intake (g/day) |
??????? ????? ?? ??????????? ???? ?? ????? ?? ???????????
?????????, 2017
??? ??????: | ???????? |
???????: | 25+ |
??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
???????????: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
?????????, 2017
??? ??????: | ???????? |
???????: | 25+ |
??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
???????????: | Estimated per-capita whole grains intake (g/day) |
???????? ?????? – ?????????? ????????????
?????????, 2015
??????????: | 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. |
???????????: | % of population with depression disorders |
???????? ?????? – ???????? ????????????
?????????, 2015
??????????: | 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. |
???????????: | % of population with anxiety disorders |
% ??????, ??????? ???????????? ? ????? 0-5 ??????
????, 1998-2019
????????? ????: | ?????????? |
??????????: | Colombia National Survey of the Nutritional Situation 2015 |
?????????: | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
???????????: | % exclusively breastfed 0-5 months |
??? ?? ????????????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
???????????? ???
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ??????? ?????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2020
???????: | 20+ |
????????? ????: | ?????????? |
??????????: | 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 |
???????????: | Age-standardized indicence rates per 100 000 |
???????? ?????? ????????
?????????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????? ??????????
?????????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
???????? ?????? ????? ?? ??????
????, 2014
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????, 2014
??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????????? ?? ???????
?????????, 2021
???????: | 20-79 |
????????? ????: | ?????????? |
??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
???????????: | Age-adjusted comparative prevalence of diabetes, % |
?????????, 2019
???????: | 20-79 |
??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
???????????: | Diabetes age-adjusted comparative prevalence (%). |
?????????, 2017
??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
???????????: | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
Is there mandatory nutrition labelling? | Present |
Front-of-package labelling? | Present |
Back-of-pack nutrition declaration? | Present |
Color coding? | Absent |
Warning label? | Present |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Present |
Tax on unhealthy foods? | Present |
Tax on unhealthy drinks? | Present |
Are there fiscal policies on healthy products? | Absent |
Subsidy on fruits? | Absent |
Subsidy on vegetables? | Absent |
Subsidy on other healthy products? | Absent |
Mandatory limit or ban of trans fat (all settings)? | Present |
Mandatory limit of trans fats in place (all settings)? | Present |
Ban on trans-fats or phos in place (all settings)? | Absent |
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? | Present |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Unknown |
Comprehensive physical activity strategy? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Absent |
Guidelines/policy on obesity treatment? | 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)? | Unknown |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated November 3, 2023
Download contextual factors as a PDF Contextual factors definitions