Dienvidkoreja
High income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
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Iedzīvotāju sadalījums
Ietekmējošie faktori
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
Kolorektālais vēzis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
Paaugstināts asinsspiediens
Paaugstināts holesterīna līmenis
Paaugstināts glikozes līmenis asinīs
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2022
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 24.01.25) |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2022
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 8034 |
Aptvertā teritorija: | Valsts |
Atsauces: | 2024 Obesity Fact Sheet. https://general.kosso.or.kr/html/user/core/view/reaction/main/kosso/inc/data/2024_Obesity_Fact_sheet_web_eng.pdf (Accessed 24.01.25) |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. |
Definīcijas (pieejamas tikai angļu valodā): | Obesity was defined as a BMI of 25 kg/m² or higher, according to the Asia-Pacific criteria of the WHO. Obesity classes were defined according to the 2022 Clinical Guidelines for Obesity of the Korean Society for the Study of Obesity. ① Underweight: BMI lower than 18.5 kg/m² ② Normal weight: BMI 18.5-22.9 kg/m² ③ Overweight: BMI 23-24.9 kg/m² ④ Class I obesity: BMI 25-29.9 kg/m² ⑤ Class II obesity: BMI 30-34.9 kg/m² ⑥ Class III obesity: BMI 35 kg/m² or higher |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 16,941,423 |
Aptvertā teritorija: | Valsts |
Atsauces: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. The prevalence of obesity was standardised by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-64 |
Izlases lielums: | 2288 |
Aptvertā teritorija: | Valsts |
Atsauces: | Chae H. Prevalence of pre-obesity and above and its associated factors in adult women: an analysis of the 2020 Korea National Health and Nutrition Examination Survey. Womens Health Nurs. 2024 Jun;30(2):117-127. doi: 10.4069/whn.2024.05.21.1. Epub 2024 Jun 28. PMID: 38987916; PMCID: PMC11237362. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-64 |
Izlases lielums: | 2288 |
Aptvertā teritorija: | Valsts |
Atsauces: | Chae H. Prevalence of pre-obesity and above and its associated factors in adult women: an analysis of the 2020 Korea National Health and Nutrition Examination Survey. Womens Health Nurs. 2024 Jun;30(2):117-127. doi: 10.4069/whn.2024.05.21.1. Epub 2024 Jun 28. PMID: 38987916; PMCID: PMC11237362. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2020
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The missing 3% are Koreans in the lowest income bracket. The prevalence of obesity was standardised by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2019
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 12 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19+ |
Izlases lielums: | 6126 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lee J, Sa J. Regional disparities in healthy eating and nutritional status in South Korea: Korea National Health and Nutrition Examination Survey 2017. Nutr Res Pract. 2020 Dec;14(6):679-690. doi: 10.4162/nrp.2020.14.6.679. Epub 2020 Oct 7. PMID: 33282128; PMCID: PMC7683206. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2013-2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25-64 |
Izlases lielums: | 3315 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kim YJ, Lee JS, Park J, et al. 'Trends in socioeconomic inequalities in five major risk factors for cardiovascular disease in the Korean population: a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey, 2001–2014' BMJ Open 2017;7:e014070. doi: 10.1136/bmjopen-2016-014070 |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2013-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Overweight and obesity for WHO Asian cutoffs are not provided in the study. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2011
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2010-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Data for overweight and obesity separately using WHO Asian cutoffs is not available in the paper. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2009
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
Definīcijas (pieejamas tikai angļu valodā): | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. Overweight and obesity for WHO Asian cutoffs are not provided in the study. |
Cutoffs: | WHO Asia |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2007-2009
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Izlases lielums: | 17126 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kang HT, Shim JY, Lee HR et al. Trends in Prevalence of overweight and obesity in Korean Adults, 1998-2009: The Korean National Health and Nutrition Examination Survey. J Epidemilogy 2014;24(2):109-116 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2005
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2001
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Aptvertā teritorija: | Valsts |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1998
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15-79 |
Izlases lielums: | 8816 |
Aptvertā teritorija: | Valsts |
Atsauces: | Soon Paek H, Sook Yun Y, Yuul Park J, Seol Kim Y and Myung Choi J, (2003). Obesity, abdominal obesity, and clustering of cardiovascular risk factors in South Korea. Asia Pacific Journal of Clinical Nutrition, 12 (4): 411 - 418. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 1998
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2021
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-18 |
Izlases lielums: | 884 |
Aptvertā teritorija: | Valsts |
Atsauces: | Jeong, S.M., Jung, J.H., Yang, Y.S., Kim, W., Cho, I.Y., Lee, Y.B., Park, K.Y., Nam, G.E. and Han, K., 2024. 2023 Obesity Fact Sheet: Prevalence of Obesity and Abdominal Obesity in Adults, Adolescents, and Children in Korea from 2012 to 2021. Journal of Obesity & Metabolic Syndrome, 33(1), p.27. |
Definīcijas (pieejamas tikai angļu valodā): | Obesity was defined by corresponding sex- and age-specific BMI percentile of 95th or greater based on 2017 Korean National Growth Chart for Children and Adolescents. |
Cutoffs: | Other |
Bērni, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-18 |
Izlases lielums: | 80,460 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kim JH, Moon JS. Secular Trends in Pediatric Overweight and Obesity in Korea. J Obes Metab Syndr. 2020;29(1):12-17. doi:10.7570/jomes20002 |
Definīcijas (pieejamas tikai angļu valodā): | The NSHE data was analyzed using the 2007 growth charts, which defined overweight as BMI ≥85th percentile and <95th percentile for the corresponding sex and age, and obesity was defined as BMI ≥95th percentile for the corresponding sex and age or BMI ≥25 kg/m2 |
Cutoffs: | Other |
Bērni, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-18 |
Izlases lielums: | 1441 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kim JH, Moon JS. Secular Trends in Pediatric Overweight and Obesity in Korea. J Obes Metab Syndr. 2020;29(1):12-17. doi:10.7570/jomes20002 |
Definīcijas (pieejamas tikai angļu valodā): | BMI status was defined by sex- and age-specific percentiles: normal (BMI<85th percentile), overweight (85th percentile≤BMI<95th percentile), and obesity (BMI≥95th percentile). Height, weight, and BMI were converted to z scores by using the 2017 Korean National Growth Charts. |
Cutoffs: | Other |
Bērni, 2016-2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-18 |
Izlases lielums: | 1256 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lee JH. Prevalence of hyperuricemia and its association with metabolic syndrome and cardiometabolic risk factors in Korean children and adolescents: analysis based on the 2016-2017 Korea National Health and Nutrition Examination Survey. Korean J Pediatr. 2019;62(8):317-323. doi:10.3345/kjp.2019.00444 |
Definīcijas (pieejamas tikai angļu valodā): | BMI status was defined by sex- and age-specific percentiles: normal (BMI<85th percentile), overweight (85th percentile≤BMI<95th percentile), and obesity (BMI≥95th percentile). Height, weight, and BMI were converted to z scores by using the 2017 Korean National Growth Charts. |
Cutoffs: | Other |
Bērni, 2013-2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-17 |
Izlases lielums: | 2685 |
Aptvertā teritorija: | Valsts |
Atsauces: | Heo S, Kwon S, Lee YM, Shin JY, Lee DH. Comparison of Trends in Blood Pressure and the Prevalence of Obesity Among Korean and American Adolescents: A 12-Years Cross-sectional Study. J Prev Med Public Health. 2020;53(1):45–55. doi:10.3961/jpmph.19.198 |
Piezīmes (pieejamas tikai angļu valodā): | NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 20.11.20) |
Cutoffs: | Other |
Bērni, 2010-2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 10-19 |
Izlases lielums: | 5418 |
Aptvertā teritorija: | Valsts |
Atsauces: | Bahk J, Khang YH. Trends in Measures of Childhood Obesity in Korea From 1998 to 2012. J Epidemiology Vol. 26 (2016) No. 4 P 199-207 |
Piezīmes (pieejamas tikai angļu valodā): | IOTF cut off (other cut offs available) |
Cutoffs: | IOTF |
Bērni, 2003-2003
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 7-17 |
Izlases lielums: | 1083 |
Aptvertā teritorija: | Sub National |
Atsauces: | Matsushita Y, Yoshiike N, Kaneda F, Yoshita K and Takimoto H. (2004). Trends in childhood obesity in Lee K, Lee S, Kim SY, Kim SJ and Kim YJ. (2007). Percent body fat cutoff values for classifying overweight and obesity recommended by the International Obesity Task Force (IOTF) in Korean children. Asia Pac Journal of Clinical Nutrition, 16(4): 649 - 655. |
Piezīmes (pieejamas tikai angļu valodā): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
Cutoffs: | IOTF |
0-5 years, 2019-2021
Vecums: | 0-5 |
Izlases lielums: | 1414207 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2016-2018
Vecums: | 0-5 |
Izlases lielums: | 1704906 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2013-2015
Vecums: | 0-5 |
Izlases lielums: | 1792817 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2010-2012
Vecums: | 0-5 |
Izlases lielums: | 1789258 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2007-2009
Vecums: | 0-5 |
Izlases lielums: | 1776107 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
0-5 years, 2003
Vecums: | 0-5 |
Izlases lielums: | 2040 |
Atsauces: | Other: Recent growth of children in the two Koreas: a meta-analysis. Economics and Human Biology 2009;7:109-12. |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
% pieaugušo, kas cieš no aptaukošanās
% Adults living with obesity in South Korea 1998-2014
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-102 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% Adults living with overweight or obesity by socioeconomic group in South Korea 1998-2014
Sievietes
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |