Dienvidkoreja
High income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Report cards
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Iedzīvotāju sadalījums
Ietekmējošie faktori
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
Kolorektālais vēzis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
Paaugstināts asinsspiediens
Paaugstināts holesterīna līmenis
Paaugstināts glikozes līmenis asinīs
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Lejupielādēt ziņojumu kartīti
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 16,941,423 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-64 |
| Izlases lielums: | 2288 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-64 |
| Izlases lielums: | 2288 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2020
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19+ |
| Izlases lielums: | 6126 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 23kg/m² |
| Cutoffs: | WHO Asia |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2016
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2013-2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25-64 |
| Izlases lielums: | 3315 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2013-2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2013
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2011
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2010-2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2009
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2007-2009
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 17126 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | WHO Asia-Pacific BMI cutoffs: overweight (BMI between 23 kg/m² and 24.9 kg/m²), obese (BMI ≥25 kg/m²) |
| Cutoffs: | WHO Asia |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2005
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2001
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 15-79 |
| Izlases lielums: | 8816 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-18 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-18 |
| Izlases lielums: | 884 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-18 |
| Izlases lielums: | 80,460 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 2-18 |
| Izlases lielums: | 1441 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-18 |
| Izlases lielums: | 1256 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2013-2016
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-17 |
| Izlases lielums: | 2685 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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 |
Bērni, 2010-2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 10-19 |
| Izlases lielums: | 5418 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | IOTF cut off (other cut offs available) |
| Cutoffs: | IOTF |
Bērni, 2003-2003
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-17 |
| Izlases lielums: | 1083 |
| Aptvertā teritorija: | Sub National |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
0-5 years, 2019-2021
| Vecums: | 0-5 |
| Izlases lielums: | 1414207 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016-2018
| Vecums: | 0-5 |
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2013-2015
| Vecums: | 0-5 |
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2010-2012
| Vecums: | 0-5 |
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2007-2009
| Vecums: | 0-5 |
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2003
| Vecums: | 0-5 |
| Izlases lielums: | 2040 |
| Atsauces: | Other: Recent growth of children in the two Koreas: a meta-analysis. Economics and Human Biology 2009;7:109-12. |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
% Adults living with obesity in South Korea 1998-2014
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% Adults living with overweight or obesity (WHO standard cutoffs), 2009-2023
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
% Adults living with overweight or obesity by socioeconomic group in South Korea 1998-2014
Sievietes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Liekais svars/aptaukošanās pēc izglītības
Pieaugušie, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight and obesity defined using WHO standard cutoffs to allow comparison with non-Asian cutoffs. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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) |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2021
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2011
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 6155 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2009
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2007-2009
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 17126 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2023
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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] |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Definīcijas (pieejamas tikai angļu valodā): | 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 |
Bērni, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the National School Health Examination 2017 |
| Cutoffs: | WHO |
Liekais svars/aptaukošanās pēc reģiona
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19+ |
| Izlases lielums: | 6126 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
0-5 years, 2019-2021
| Izlases lielums: | 1414207 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016-2018
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2013-2015
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2010-2012
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2007-2009
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
| Definīcijas (pieejamas tikai angļu valodā): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2013-2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-64 |
| Izlases lielums: | 7707 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2013-2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-64 |
| Izlases lielums: | 7707 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | 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. |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2011
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2011
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2008
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2008
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2005
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2005
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 2001
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2001
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Vīrieši, 1998
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 1998
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 19-65 |
| Atsauces: | 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 |
| Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
0-5 years, 2019-2021
| Izlases lielums: | 1414207 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016-2018
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2013-2015
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2010-2012
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2007-2009
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2021
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | South Korea National Health and Nutrition Examination Survey 2019-21 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2013-2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2010-2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vīrieši, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Pieaugušie, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Bērni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Bērni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Bērni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Bērni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Zēni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Barības vada vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Kolorektālais vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Paaugstināts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Non Hodgkin Lymphoma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Thyroid Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present-(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
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions