Dienvidkoreja
High income
- PÄrskats
- AptaukoÅ¡anÄs izplatÄ«ba
- Tendences, kas veidojas laika gaitÄ
- IedzÄ«votÄju sadalÄ«jums
- IetekmÄ“jošie faktori
- Blakusslimības
- EkonomiskÄ ietekme
- Politikas (pieejamas tikai angļu valodÄ)
- Contextual factors
Notiek datu ielÄde – lÅ«dzu, uzgaidiet
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
IedzÄ«votÄju sadalÄ«jums
IetekmÄ“jošie faktori
Nepietiekamas aktivitÄtes
Augļu patēriņš
PÄrstrÄdÄtas gaļas patÄ“riņš
Graudaugu patēriņš
Depresija
Trauksme
AptaukoÅ¡anÄs cÄ“loņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Unaffordable diet
LejupielÄdÄ“t ziņojumu kartÄ«ti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
KolorektÄlais vÄ“zis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
PaaugstinÄts asinsspiediens
PaaugstinÄts holesterÄ«na lÄ«menis
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
LejupielÄdÄ“t ziņojumu kartÄ«ti
EkonomiskÄ ietekme
Politikas (pieejamas tikai angļu valodÄ)
Valsts stratÄ“Ä£ija attiecÄ«bÄ uz aptaukoÅ¡anos
StratÄ“Ä£ija uztura vai veselÄ«bas jomÄ
MÄrketings
Fiziska aktivitÄte
StarptautiskÄs stratÄ“Ä£ijas saistÄ«bÄ ar aptaukoÅ¡anos
MarÄ·Ä“jums
PÄrvaldÄ«bas vai apstrÄdes vadlÄ«nijas
School Food Regulations/Guidelines
Barošana ar krūti
Obesity Target
LejupielÄdÄ“t ziņojumu kartÄ«ti
Contextual factors
AptaukoÅ¡anÄs izplatÄ«ba
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 16,941,423 |
| AptvertÄ 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 19-64 |
| Izlases lielums: | 2288 |
| AptvertÄ 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 19-64 |
| Izlases lielums: | 2288 |
| AptvertÄ 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Data from the Korean National Health Insurance Service health checkup database. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 19+ |
| Izlases lielums: | 6126 |
| AptvertÄ 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO Asian cutoffs shown for BMI greater than or equal to 23kg/m² |
| Cutoffs: | WHO Asia |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2015
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2013-2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 25-64 |
| Izlases lielums: | 3315 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2013
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2013-2015
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2011
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2010-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2009
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2007-2009
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Izlases lielums: | 17126 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2005
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2001
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 19-65 |
| AptvertÄ 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-79 |
| Izlases lielums: | 8816 |
| AptvertÄ 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| 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 norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
BÄ“rni, 2023
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-18 |
| AptvertÄ 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] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-18 |
| Izlases lielums: | 884 |
| AptvertÄ 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 6-18 |
| Izlases lielums: | 80,460 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 2-18 |
| Izlases lielums: | 1441 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2016-2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-18 |
| Izlases lielums: | 1256 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2013-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-17 |
| Izlases lielums: | 2685 |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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 |
BÄ“rni, 2010-2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 10-19 |
| Izlases lielums: | 5418 |
| AptvertÄ 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | IOTF cut off (other cut offs available) |
| Cutoffs: | IOTF |
BÄ“rni, 2003-2003
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 7-17 |
| Izlases lielums: | 1083 |
| AptvertÄ 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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2016-2018
| Vecums: | 0-5 |
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2013-2015
| Vecums: | 0-5 |
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2010-2012
| Vecums: | 0-5 |
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2007-2009
| Vecums: | 0-5 |
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+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. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 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. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
% Adults living with obesity in South Korea 1998-2014
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Adults living with overweight or obesity (WHO standard cutoffs), 2009-2023
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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) |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Overweight and obesity using WHO standard cutoffs (BMI ≥25 kg/m²) shown to allow comparison with non-Asian cutoffs. |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Adults living with overweight or obesity by socioeconomic group in South Korea 1998-2014
V?rieši
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Liekais svars/aptaukošan?s p?c izgl?t?bas
Pieaugušie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
B?rni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Mother's education |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Z?ni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Mother's education |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Meitenes, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Mother's education |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Liekais svars/aptaukošan?s p?c vecuma
Pieaugušie, 2023
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Overweight and obesity defined using WHO standard cutoffs to allow comparison with non-Asian cutoffs. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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) |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2021
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2019
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2011
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 6155 |
| Aptvert? 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 nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2009
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2007-2009
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Izlases lielums: | 17126 |
| Aptvert? 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 nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
B?rni, 2023
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
B?rni, 2023
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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] |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korea National Health and Nutrition Examination Survey (KNHANES) |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
B?rni, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the National School Health Examination 2017 |
| Cutoffs: | WHO |
Liekais svars/aptaukošan?s p?c re?iona
Pieaugušie, 2024
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 19+ |
| Izlases lielums: | ~230,000 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Korea Disease Control and Prevention Agency. Community Health Survey. 2024 Regional Health Statistics At a Glance. https://chs.kdca.go.kr/chs/stats/statsMain.do [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown to allow comparison with non-Asian cutoffs. |
| Defin?cijas (pieejamas tikai ang?u valod?): | BMI greater than or equal to 25kg/m² |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 19+ |
| Izlases lielums: | 6126 |
| Aptvert? 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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
B?rni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Z?ni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Meitenes, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
0-5 years, 2019-2021
| Izlases lielums: | 1414207 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2016-2018
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2013-2015
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2010-2012
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2007-2009
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukošan?s p?c soci?lekonomisk?s grupas
Pieaugušie, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Aptvert? 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. |
| Piez?mes (pieejamas tikai ang?u valod?): | Data from the Korean National Health Insurance Service health checkup database. |
| Defin?cijas (pieejamas tikai ang?u valod?): | WHO standard cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2014
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2014
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2013-2015
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 19-64 |
| Izlases lielums: | 7707 |
| Aptvert? 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 nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2013-2015
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 19-64 |
| Izlases lielums: | 7707 |
| Aptvert? 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 nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2011
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2011
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2008
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2008
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 2001
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2001
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
V?rieši, 1998
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 1998
| Apsekojuma veids: | M?r?t? v?rt?ba |
| 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 |
| Piez?mes (pieejamas tikai ang?u valod?): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
B?rni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Household income |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Z?ni, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Household income |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
Meitenes, 2020
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-18 |
| Izlases lielums: | 43,642 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Kim, E., Lee, G.B., Yon, D.K. and Kim, H.C. (2023). Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020. Epidemiology and Health, [online] 45, pp.e2023033–e2023033. doi:https://doi.org/10.4178/epih.e2023033 [Accessed 07.01.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Household income |
| Defin?cijas (pieejamas tikai ang?u valod?): | Adolescent obesity was defined as a sex-specific BMI-for-age (in months) of the 95th percentile or greater based on the 2017 Korean National Growth Charts (KNGC) |
| Cutoffs: | Other |
0-5 years, 2019-2021
| Izlases lielums: | 1414207 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2016-2018
| Izlases lielums: | 1704906 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2013-2015
| Izlases lielums: | 1792817 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2010-2012
| Izlases lielums: | 1789258 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2007-2009
| Izlases lielums: | 1776107 |
| Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age Standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
B?rni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2021
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | South Korea National Health and Nutrition Examination Survey 2019-21 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016-2018
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | South Korea National Health and Nutrition Examination Survey, 2016-2018 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2013-2015
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | South Korea National Health and Nutrition Examination Survey 2013-2015 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2010-2012
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | South Korea National Health and Nutrition Examination Survey, 2010-2012 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fizisk?s aktivit?tes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
V?rieši, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
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 |
V?rieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
B?rni, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
B?rni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
Pieaugušie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita whole grains intake (g/day) |
Gar?g? vesel?ba – depresijas trauc?jumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
V?rieši, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with depression disorders |
B?rni, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Z?ni, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Gar?g? vesel?ba – trauksmes probl?mas
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). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
V?rieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
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. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with anxiety disorders |
B?rni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Z?ni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2024
| Aptvert? teritorija: | Valsts |
| Atsauces: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | The percent of the population whose food budget is below the cost of a healthy diet. |
Pieaugušie, 2022
| Aptvert? teritorija: | Valsts |
| Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Bar?bas vada v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Kr?ts dziedzera v?zis
Sievietes, 2022
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Kolorekt?lais v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Aizku??a dziedzera v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Žultsp?š?a v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Nieru v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Dzemdes v?zis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Paaugstin?ts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
V?rieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstin?ts holester?na l?menis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
V?rieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstin?ts glikozes l?menis asin?s
V?rieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diab?ta izplat?ba
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 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-adjusted comparative prevalence of diabetes, % |
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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | 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 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Leukemia
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Multiple Myeloma
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Non Hodgkin Lymphoma
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Thyroid Cancer
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Present-(voluntary) |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Absent |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Absent |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Absent |
| Mandatory limit of trans fats in place (all settings)? | Absent |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Mandatory restriction on broadcast media? | Present |
| Mandatory restriction on non-broadcast media? | Present |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Present |
| Are there mandatory standards for food in schools? | Present |
| Are there any mandatory nutrient limits in any manufactured food products? | Absent |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Present |
| National childhood obesity strategy? | Present |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Present |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Present |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Absent |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
