Corée du Sud
High income
- Vue d’ensemble
- Prévalence de l’obésité
- Tendances au fil du temps
- Ventilation de la population
- Facteurs de risques
- Comorbidités
- Impact économique
- Politiques (uniquement disponibles en anglais)
- Contextual factors
Chargement des données en cours, merci de patienter
Report cards
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Ventilation de la population
Facteurs de risques
Activité insuffisante
Consommation de fruits
Consommation de viande transformée
Consommation de céréales
Dépression
Anxiété
Les racines de l'obésité »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
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Comorbidités
Cancer de l'œsophage
Cancer du sein
Cancer colorectal
Cancer du pancréas
Cancer de la vésicule biliaire
Cancer des reins
Cancer de l'utérus
Hypertension
Hypercholestérolémie
Hyperglycémie à jeun
Prévalence du diabète
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
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Impact économique
Politiques (uniquement disponibles en anglais)
Stratégie nationale de lutte contre l’obésité
Stratégie nutritionnelle ou sanitaire
Marketing
Activité physique
Stratégies transnationales de lutte contre l'obésité
Étiquetage
Directives de prise en charge ou de traitement
School Food Regulations/Guidelines
Allaitement
Obesity Target
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Contextual factors
Prévalence de l’obésité
Adultes, 2023
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. Standardised by age and sex based on the 2010 population and housing census |
| Définitions (uniquement disponible en anglais): | Obesity was defined as a BMI of 25 kg/m² or higher, according to the Asia-Pacific criteria of the WHO. |
| Cutoffs: | WHO Asia-Pacific |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2023
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. Standardised by age and sex based on the 2010 population and housing census |
| Définitions (uniquement disponible en anglais): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 28.08.25) |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. NB Not age or sex standardised. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 24.01.25) |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. Age and sex standardised. |
| Définitions (uniquement disponible en anglais): | Obesity was defined as a BMI of 25 kg/m² or higher, according to the Asia-Pacific criteria of the WHO. |
| Cutoffs: | WHO Asia-Pacific |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2022
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 28.08.25) |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2021
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 16,941,423 |
| Région couverte: | National |
| Références: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. The prevalence of obesity was standardised by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2020
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. The prevalence of obesity was standardised by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2020
| Type d’enquête: | Mesuré |
| Âge: | 19-64 |
| Taille de l’échantillon: | 2288 |
| Région couverte: | National |
| Références: | Chae H. Prevalence of pre-obesity and above and its associated factors in adult women: an analysis of the 2020 Korea National Health and Nutrition Examination Survey. Womens Health Nurs. 2024 Jun;30(2):117-127. doi: 10.4069/whn.2024.05.21.1. Epub 2024 Jun 28. PMID: 38987916; PMCID: PMC11237362. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2020
| Type d’enquête: | Mesuré |
| Âge: | 19-64 |
| Taille de l’échantillon: | 2288 |
| Région couverte: | National |
| Références: | Chae H. Prevalence of pre-obesity and above and its associated factors in adult women: an analysis of the 2020 Korea National Health and Nutrition Examination Survey. Womens Health Nurs. 2024 Jun;30(2):117-127. doi: 10.4069/whn.2024.05.21.1. Epub 2024 Jun 28. PMID: 38987916; PMCID: PMC11237362. |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2019
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2018
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 12 Oct. 2021. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2017
| Type d’enquête: | Mesuré |
| Âge: | 19+ |
| Taille de l’échantillon: | 6126 |
| Région couverte: | National |
| Références: | Lee J, Sa J. Regional disparities in healthy eating and nutritional status in South Korea: Korea National Health and Nutrition Examination Survey 2017. Nutr Res Pract. 2020 Dec;14(6):679-690. doi: 10.4162/nrp.2020.14.6.679. Epub 2020 Oct 7. PMID: 33282128; PMCID: PMC7683206. |
| Définitions (uniquement disponible en anglais): | WHO Asian cutoffs shown for BMI greater than or equal to 23kg/m² |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2017
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2016
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2015
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2014
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. Standardised by age and sex based on the 2010 population and housing census |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2013-2014
| Type d’enquête: | Mesuré |
| Âge: | 25-64 |
| Taille de l’échantillon: | 3315 |
| Région couverte: | National |
| Références: | Kim YJ, Lee JS, Park J, et al. 'Trends in socioeconomic inequalities in five major risk factors for cardiovascular disease in the Korean population: a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey, 2001–2014' BMJ Open 2017;7:e014070. doi: 10.1136/bmjopen-2016-014070 |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2013
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2013-2015
| Type d’enquête: | Mesuré |
| Âge: | 19-65 |
| Références: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2011
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2010-2012
| Type d’enquête: | Mesuré |
| Âge: | 19-65 |
| Références: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Région couverte: | National |
| Références: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Définitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2007-2009
| Type d’enquête: | Mesuré |
| Âge: | 20+ |
| Taille de l’échantillon: | 17126 |
| Région couverte: | National |
| Références: | Kang HT, Shim JY, Lee HR et al. Trends in Prevalence of overweight and obesity in Korean Adults, 1998-2009: The Korean National Health and Nutrition Examination Survey. J Epidemilogy 2014;24(2):109-116 |
| Définitions (uniquement disponible en anglais): | WHO Asia-Pacific BMI cutoffs: overweight (BMI between 23 kg/m² and 24.9 kg/m²), obese (BMI ≥25 kg/m²) |
| Cutoffs: | WHO Asia |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2005
| Type d’enquête: | Mesuré |
| Âge: | 19-65 |
| Références: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 2001
| Type d’enquête: | Mesuré |
| Âge: | 19-65 |
| Région couverte: | National |
| Références: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 1998
| Type d’enquête: | Mesuré |
| Âge: | 15-79 |
| Taille de l’échantillon: | 8816 |
| Région couverte: | National |
| Références: | Soon Paek H, Sook Yun Y, Yuul Park J, Seol Kim Y and Myung Choi J, (2003). Obesity, abdominal obesity, and clustering of cardiovascular risk factors in South Korea. Asia Pacific Journal of Clinical Nutrition, 12 (4): 411 - 418. |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Adultes, 1998
| Type d’enquête: | Mesuré |
| Âge: | 19-65 |
| Références: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Enfants, 2023
| Type d’enquête: | Mesuré |
| Âge: | 6-18 |
| Région couverte: | National |
| Références: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Définitions (uniquement disponible en anglais): | Overweight and obesity in children and adolescents: Using sex and age-specific BMI percentiles based on the 2017 Korean growth chart for children and adolescents, with overweight defined as BMI between the 85th and 94th percentile and obesity defined as BMI above the 95th percentile |
| Cutoffs: | Other |
Enfants, 2021
| Type d’enquête: | Mesuré |
| Âge: | 6-18 |
| Taille de l’échantillon: | 884 |
| Région couverte: | National |
| Références: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
| Définitions (uniquement disponible en anglais): | Obesity was defined by corresponding sex- and age-specific BMI percentile of 95th or greater based on 2017 Korean National Growth Chart for Children and Adolescents. |
| Cutoffs: | Other |
Enfants, 2017
| Type d’enquête: | Mesuré |
| Âge: | 6-18 |
| Taille de l’échantillon: | 80,460 |
| Région couverte: | National |
| Références: | Kim JH, Moon JS. Secular Trends in Pediatric Overweight and Obesity in Korea. J Obes Metab Syndr. 2020;29(1):12-17. doi:10.7570/jomes20002 |
| Définitions (uniquement disponible en anglais): | The NSHE data was analyzed using the 2007 growth charts, which defined overweight as BMI ≥85th percentile and <95th percentile for the corresponding sex and age, and obesity was defined as BMI ≥95th percentile for the corresponding sex and age or BMI ≥25 kg/m2 |
| Cutoffs: | Other |
Enfants, 2017
| Type d’enquête: | Mesuré |
| Âge: | 2-18 |
| Taille de l’échantillon: | 1441 |
| Région couverte: | National |
| Références: | Kim JH, Moon JS. Secular Trends in Pediatric Overweight and Obesity in Korea. J Obes Metab Syndr. 2020;29(1):12-17. doi:10.7570/jomes20002 |
| Définitions (uniquement disponible en anglais): | BMI status was defined by sex- and age-specific percentiles: normal (BMI<85th percentile), overweight (85th percentile≤BMI<95th percentile), and obesity (BMI≥95th percentile). Height, weight, and BMI were converted to z scores by using the 2017 Korean National Growth Charts. |
| Cutoffs: | Other |
Enfants, 2016-2017
| Type d’enquête: | Mesuré |
| Âge: | 10-18 |
| Taille de l’échantillon: | 1256 |
| Région couverte: | National |
| Références: | Lee JH. Prevalence of hyperuricemia and its association with metabolic syndrome and cardiometabolic risk factors in Korean children and adolescents: analysis based on the 2016-2017 Korea National Health and Nutrition Examination Survey. Korean J Pediatr. 2019;62(8):317-323. doi:10.3345/kjp.2019.00444 |
| Définitions (uniquement disponible en anglais): | BMI status was defined by sex- and age-specific percentiles: normal (BMI<85th percentile), overweight (85th percentile≤BMI<95th percentile), and obesity (BMI≥95th percentile). Height, weight, and BMI were converted to z scores by using the 2017 Korean National Growth Charts. |
| Cutoffs: | Other |
Enfants, 2013-2016
| Type d’enquête: | Mesuré |
| Âge: | 10-17 |
| Taille de l’échantillon: | 2685 |
| Région couverte: | National |
| Références: | Heo S, Kwon S, Lee YM, Shin JY, Lee DH. Comparison of Trends in Blood Pressure and the Prevalence of Obesity Among Korean and American Adolescents: A 12-Years Cross-sectional Study. J Prev Med Public Health. 2020;53(1):45–55. doi:10.3961/jpmph.19.198 |
| Notes: | NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 20.11.20) |
| Cutoffs: | Other |
Enfants, 2010-2012
| Type d’enquête: | Mesuré |
| Âge: | 10-19 |
| Taille de l’échantillon: | 5418 |
| Région couverte: | National |
| Références: | Bahk J, Khang YH. Trends in Measures of Childhood Obesity in Korea From 1998 to 2012. J Epidemiology Vol. 26 (2016) No. 4 P 199-207 |
| Notes: | IOTF cut off (other cut offs available) |
| Cutoffs: | IOTF |
Enfants, 2003-2003
| Type d’enquête: | Mesuré |
| Âge: | 7-17 |
| Taille de l’échantillon: | 1083 |
| Région couverte: | Sub National |
| Références: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K and Takimoto H. (2004). Trends in childhood obesity in Lee K, Lee S, Kim SY, Kim SJ and Kim YJ. (2007). Percent body fat cutoff values for classifying overweight and obesity recommended by the International Obesity Task Force (IOTF) in Korean children. Asia Pac Journal of Clinical Nutrition, 16(4): 649 - 655. |
| Notes: | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
0-5 years, 2019-2021
| Âge: | 0-5 |
| Taille de l’échantillon: | 1414207 |
| Références: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2016-2018
| Âge: | 0-5 |
| Taille de l’échantillon: | 1704906 |
| Références: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2013-2015
| Âge: | 0-5 |
| Taille de l’échantillon: | 1792817 |
| Références: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2010-2012
| Âge: | 0-5 |
| Taille de l’échantillon: | 1789258 |
| Références: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2007-2009
| Âge: | 0-5 |
| Taille de l’échantillon: | 1776107 |
| Références: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2003
| Âge: | 0-5 |
| Taille de l’échantillon: | 2040 |
| Références: | Other: Recent growth of children in the two Koreas: a meta-analysis. Economics and Human Biology 2009;7:109-12. |
| Notes: | 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. |
| Définitions (uniquement disponible en anglais): | =>+2SD |
% Adults living with obesity in South Korea 1998-2014
| Type denqute: | Mesur |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
| Diffrentes mthodologies peuvent avoir t utilises pour collecter ces donnes et, par consquent, les donnes de diffrentes enqutes peuvent ne pas tre strictement comparables. Veuillez vrifier auprs des sources de donnes d'origine les mthodologies utilises | |
% Adults living with overweight or obesity (WHO standard cutoffs), 2009-2023
| Type denqute: | Mesur |
| Rfrences: | 2009, 2011, 2013, 2015, 2017, 2019: Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 2014, 2016, 2023: Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] 2018: Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 12 Oct. 2021. 2020, 2021: Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. 2022: 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 28.08.25) |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. Adults aged 20 and over. |
| Dfinitions (uniquement disponible en anglais): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Diffrentes mthodologies peuvent avoir t utilises pour collecter ces donnes et, par consquent, les donnes de diffrentes enqutes peuvent ne pas tre strictement comparables. Veuillez vrifier auprs des sources de donnes d'origine les mthodologies utilises | |
% Adults living with overweight or obesity by socioeconomic group in South Korea 1998-2014
Hommes
| Type denqute: | Mesur |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
| Diffrentes mthodologies peuvent avoir t utilises pour collecter ces donnes et, par consquent, les donnes de diffrentes enqutes peuvent ne pas tre strictement comparables. Veuillez vrifier auprs des sources de donnes d'origine les mthodologies utilises | |
Femmes
| Type denqute: | Mesur |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
| Diffrentes mthodologies peuvent avoir t utilises pour collecter ces donnes et, par consquent, les donnes de diffrentes enqutes peuvent ne pas tre strictement comparables. Veuillez vrifier auprs des sources de donnes d'origine les mthodologies utilises | |
Surpoids/obésité selon le niveau de scolarité
Adultes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Dfinitions (uniquement disponible en anglais): | Data from the Korean National Health Insurance Service health checkup database. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Dfinitions (uniquement disponible en anglais): | Data from the Korean National Health Insurance Service health checkup database. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Dfinitions (uniquement disponible en anglais): | Data from the Korean National Health Insurance Service health checkup database. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Enfants, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Mother's education |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Garons, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Mother's education |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Filles, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Mother's education |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Surpoids/obésité selon l'âge
Adultes, 2023
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. NB. Not age or sex standardised. |
| Dfinitions (uniquement disponible en anglais): | Overweight and obesity defined using WHO standard cutoffs to allow comparison with non-Asian cutoffs. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2022
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 24.01.25) |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2021
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. The prevalence of obesity was standardised by age and sex based on the 2010 population and housing census. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2019
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2018
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2011
| Type denqute: | Mesur |
| Taille de lchantillon: | 6155 |
| Rgion couverte: | National |
| Rfrences: | Kim et al. (2014). Prevalence, Awareness, and Management of Obesity in Korea: Data from the Korea National Health and Nutrition Examination Survey (1998–2011). Diabetes Metab J 2014;38:35-43. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2009
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
| Notes: | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2007-2009
| Type denqute: | Mesur |
| Taille de lchantillon: | 17126 |
| Rgion couverte: | National |
| Rfrences: | Kang HT, Shim JY, Lee HR et al. Trends in Prevalence of overweight and obesity in Korean Adults, 1998-2009: The Korean National Health and Nutrition Examination Survey. J Epidemilogy 2014;24(2):109-116 |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Enfants, 2023
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Dfinitions (uniquement disponible en anglais): | Overweight and obesity in children and adolescents: Using sex and age-specific BMI percentiles based on the 2017 Korean growth chart for children and adolescents, with overweight defined as BMI between the 85th and 94th percentile and obesity defined as BMI above the 95th percentile |
| Cutoffs: | Other |
Enfants, 2023
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Korean Society for the Study of Obesity. 2025 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2025_Obesity_Fact_sheet_web_eng.pdf [Accessed 29.09.25] |
| Notes: | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Dfinitions (uniquement disponible en anglais): | Overweight and obesity in children and adolescents: Using sex and age-specific BMI percentiles based on the 2017 Korean growth chart for children and adolescents, with overweight defined as BMI between the 85th and 94th percentile and obesity defined as BMI above the 95th percentile |
| Cutoffs: | Other |
Enfants, 2017
| Type denqute: | Mesur |
| Rgion couverte: | National |
| Rfrences: | Kim, Jae Hyun, and Jin Soo Moon. “Secular Trends in Pediatric Overweight and Obesity in Korea.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 1, 30 Mar. 2020, pp. 12–17, 10.7570/jomes20002. Accessed 18 Oct. 2021. |
| Notes: | Data from the National School Health Examination 2017 |
| Cutoffs: | WHO |
Surpoids/obésité selon la région
Adultes, 2024
| Type denqute: | Autodclar |
| ge: | 19+ |
| Taille de lchantillon: | ~230,000 |
| Rgion couverte: | National |
| Rfrences: | Korea Disease Control and Prevention Agency. Community Health Survey. 2024 Regional Health Statistics At a Glance. https://chs.kdca.go.kr/chs/stats/statsMain.do [Accessed 07.01.25] |
| Notes: | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Dfinitions (uniquement disponible en anglais): | BMI greater than or equal to 25kg/m² |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Adultes, 2017
| Type denqute: | Mesur |
| ge: | 19+ |
| Taille de lchantillon: | 6126 |
| Rgion couverte: | National |
| Rfrences: | Lee J, Sa J. Regional disparities in healthy eating and nutritional status in South Korea: Korea National Health and Nutrition Examination Survey 2017. Nutr Res Pract. 2020 Dec;14(6):679-690. doi: 10.4162/nrp.2020.14.6.679. Epub 2020 Oct 7. PMID: 33282128; PMCID: PMC7683206. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Enfants, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Garons, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Filles, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
0-5 years, 2019-2021
| Taille de lchantillon: | 1414207 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2016-2018
| Taille de lchantillon: | 1704906 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2013-2015
| Taille de lchantillon: | 1792817 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2010-2012
| Taille de lchantillon: | 1789258 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2007-2009
| Taille de lchantillon: | 1776107 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
Surpoids/obésité selon le groupe socio-économique
Adultes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2018
| Type denqute: | Mesur |
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
| Notes: | Data from the Korean National Health Insurance Service health checkup database. |
| Dfinitions (uniquement disponible en anglais): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2014
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2014
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2013-2015
| Type denqute: | Mesur |
| ge: | 19-64 |
| Taille de lchantillon: | 7707 |
| Rgion couverte: | National |
| Rfrences: | Lee JY, Lee YR, Kim RH, Myong JP, Kang MY. Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015. Saf Health Work. 2020 Mar;11(1):97-102. doi: 10.1016/j.shaw.2019.08.003. Epub 2019 Sep 3. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2013-2015
| Type denqute: | Mesur |
| ge: | 19-64 |
| Taille de lchantillon: | 7707 |
| Rgion couverte: | National |
| Rfrences: | Lee JY, Lee YR, Kim RH, Myong JP, Kang MY. Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015. Saf Health Work. 2020 Mar;11(1):97-102. doi: 10.1016/j.shaw.2019.08.003. Epub 2019 Sep 3. |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2011
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2011
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2008
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2008
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2005
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2005
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 2001
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2001
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Hommes, 1998
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 1998
| Type denqute: | Mesur |
| ge: | 19-65 |
| Rfrences: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
| Notes: | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Enfants, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Household income |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Garons, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Household income |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Filles, 2020
| Type denqute: | Autodclar |
| ge: | 12-18 |
| Taille de lchantillon: | 43,642 |
| Rgion couverte: | National |
| Rfrences: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Notes: | Household income |
| Dfinitions (uniquement disponible en anglais): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
0-5 years, 2019-2021
| Taille de lchantillon: | 1414207 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2016-2018
| Taille de lchantillon: | 1704906 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2013-2015
| Taille de lchantillon: | 1792817 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2010-2012
| Taille de lchantillon: | 1789258 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
0-5 years, 2007-2009
| Taille de lchantillon: | 1776107 |
| Rfrences: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Notes: | 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. |
| Dfinitions (uniquement disponible en anglais): | =>+2SD |
Double burden of underweight & overweight
Adultes, 2022
| Type denqute: | Mesur |
| ge: | 20+ |
| Rfrences: | 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. |
| Notes: | Age Standardised estimates |
| Dfinitions (uniquement disponible en anglais): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Enfants, 2022
| Type denqute: | Mesur |
| ge: | 5-19 |
| Rfrences: | 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. |
| Notes: | Age standardised estimates |
| Dfinitions (uniquement disponible en anglais): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2021
| Type denqute: | Mesur |
| ge: | 0-5 |
| Rfrences: | 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] |
| Notes: | South Korea National Health and Nutrition Examination Survey 2019-21 |
| Dfinitions (uniquement disponible en anglais): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016-2018
| Type denqute: | Mesur |
| ge: | 0-5 |
| Rfrences: | 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] |
| Notes: | South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Dfinitions (uniquement disponible en anglais): | 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, 2013-2015
| Type denqute: | Mesur |
| ge: | 0-5 |
| Rfrences: | 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] |
| Notes: | South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Dfinitions (uniquement disponible en anglais): | 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, 2010-2012
| Type denqute: | Mesur |
| ge: | 0-5 |
| Rfrences: | 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] |
| Notes: | South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Dfinitions (uniquement disponible en anglais): | 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 |
% d'activit physique insuffisante
Adultes, 2022
| Type denqute: | Autodclar |
| ge: | 18+ |
| Rgion couverte: | National |
| Rfrences: | 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)-(-) |
| Dfinitions (uniquement disponible en anglais): | 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. |
Hommes, 2022
| Type denqute: | Autodclar |
| ge: | 18+ |
| Rgion couverte: | National |
| Rfrences: | 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)-(-) |
| Dfinitions (uniquement disponible en anglais): | 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. |
Femmes, 2022
| Type denqute: | Autodclar |
| ge: | 18+ |
| Rgion couverte: | National |
| Rfrences: | 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)-(-) |
| Dfinitions (uniquement disponible en anglais): | 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. |
Adultes, 2016
| Rfrences: | 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 |
Hommes, 2016
| Rfrences: | 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 |
Femmes, 2016
| Rfrences: | 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 |
Enfants, 2016
| Type denqute: | Autodclar |
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garons, 2016
| Type denqute: | Autodclar |
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2016
| Type denqute: | Autodclar |
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Enfants, 2010
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Garons, 2010
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Filles, 2010
| ge: | 11-17 |
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Notes: | % 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. |
| Dfinitions (uniquement disponible en anglais): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
Adultes, 2017
| Âge: | 25+ |
| Région couverte: | National |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Adultes, 2017
| Type d’enquête: | Mesuré |
| Âge: | 25+ |
| Références: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Définitions (uniquement disponible en anglais): | Estimated per-capita whole grains intake (g/day) |
Sant mentale - troubles dpressifs
Adultes, 2021
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Hommes, 2021
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Femmes, 2021
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depression per 100,000 population (adults 20+ years) |
Adultes, 2015
| Rfrences: | 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. |
| Dfinitions (uniquement disponible en anglais): | % of population with depression disorders |
Enfants, 2021
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garons, 2021
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Filles, 2021
| Rgion couverte: | National |
| Rfrences: | 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) |
| Dfinitions (uniquement disponible en anglais): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Sant mentale - troubles anxieux
Adultes, 2021
| ge: | 20+ |
| Rfrences: | 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). |
| Dfinitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Hommes, 2021
| ge: | 20+ |
| Rfrences: | 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). |
| Dfinitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Femmes, 2021
| ge: | 20+ |
| Rfrences: | 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). |
| Dfinitions (uniquement disponible en anglais): | Number living with anxiety per 100,000 population |
Adultes, 2015
| Rfrences: | 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. |
| Dfinitions (uniquement disponible en anglais): | % of population with anxiety disorders |
Enfants, 2021
| Rfrences: | 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) |
Garons, 2021
| Rfrences: | 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) |
Filles, 2021
| Rfrences: | 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) |
Percent of population who cannot afford a healthy diet
Adultes, 2024
| Région couverte: | National |
| Références: | 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] |
| Notes: | The percent of the population whose food budget is below the cost of a healthy diet. |
Adultes, 2022
| Région couverte: | National |
| Références: | 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. |
Cancer de l'œsophage
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du sein
Femmes, 2022
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Cancer colorectal
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer du pancras
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de la vsicule biliaire
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
Hommes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer des reins
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Hommes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Cancer de l'utrus
Femmes, 2022
| ge: | 20+ |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2020
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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 10.01.2205 |
| Dfinitions (uniquement disponible en anglais): | Age-standardized indicence rates per 100 000 |
Hypertension
Adultes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hommes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Femmes, 2015
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Hypercholestérolémie
Adultes, 2008
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Dfinitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hommes, 2008
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Dfinitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Femmes, 2008
| Rfrences: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Dfinitions (uniquement disponible en anglais): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Hyperglycémie à jeun
Hommes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Femmes, 2014
| Références: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Définitions (uniquement disponible en anglais): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prvalence du diabte
Adultes, 2024
| Rfrences: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Adultes, 2021
| ge: | 20-79 |
| Rgion couverte: | National |
| Rfrences: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Dfinitions (uniquement disponible en anglais): | Age-adjusted comparative prevalence of diabetes, % |
Adultes, 2019
| ge: | 20-79 |
| Rfrences: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Dfinitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Adultes, 2017
| Rfrences: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Dfinitions (uniquement disponible en anglais): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Femmes, 2022
| ge: | 20+ |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Leukemia
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Liver and intrahepatic bile duct Cancer
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Multiple Myeloma
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Indicence per 100,000 |
| Sauf indication contraire, le surpoids fait rfrence un IMC compris entre 25 kg et 29,9 kg/m, l'obsit fait rfrence un IMC suprieur 30 kg/m. | |
Non Hodgkin Lymphoma
Hommes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Femmes, 2022
| Âge: | 20+ |
| Région couverte: | National |
| Références: | 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] |
| Définitions (uniquement disponible en anglais): | Incidence per 100,000 |
| Sauf indication contraire, le surpoids fait référence à un IMC compris entre 25 kg et 29,9 kg/m², l'obésité fait référence à un IMC supérieur à 30 kg/m². | |
Thyroid Cancer
Hommes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | Incidence per 100,000 |
Femmes, 2022
| ge: | 20+ |
| Rgion couverte: | National |
| Rfrences: | 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] |
| Dfinitions (uniquement disponible en anglais): | 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-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Present-(voluntary) |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| 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)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Mandatory restriction on broadcast media? | Present |
| Mandatory restriction on non-broadcast media? | Present |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Are there mandatory standards for food in schools? | Present |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Present |
| National childhood obesity strategy? | Present |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
