Dienvidkoreja
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Aptaukošanās izplatība
Tendences, kas veidojas laika gaitā
Lejupielādēt ziņojumu kartīti
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Ietekmējošie faktori
Blakusslimības
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošanās izplatība
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. |
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 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. |
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): | World Health Organization criteria for Asians are used: 1) underweight (BMI < 18.5), 2) normal weight (18.5 ≤ BMI < 23.0), 3) overweight (23.0 ≤ BMI < 25.0), and 4) obese (BMI ≥ 25.0) [17]. |
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. |
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 |
Piezīmes (pieejamas tikai angļu valodā): | In paper Obesity was defined as a BMI of ≥25kg/m2, according to the criteria of Asia-Pacific region. These % relate to the BMI definitions below Overweight BMI=>25 kg/m2 |
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. |
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) |
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. |
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 |
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. |
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, 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, 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, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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, 2009-2019
% pieaugušo ar lieko svaru vai aptaukošanos, 1998-2015
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 |
Liekais svars/aptaukošanās pēc izglītības
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Definīcijas (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Infants, 2016-2018
Izlases lielums: | 1704906 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2013-2015
Izlases lielums: | 1792817 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2010-2012
Izlases lielums: | 1789258 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2007-2009
Izlases lielums: | 1776107 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2019
Apsekojuma veids: | Mērītā vērtība |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
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 |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2011
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 6155 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kim et al. (2014). Prevalence, Awareness, and Management of Obesity in Korea: Data from the Korea National Health and Nutrition Examination Survey (1998–2011). Diabetes Metab J 2014;38:35-43. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Pieaugušie, 2009
Apsekojuma veids: | Mērītā vērtība |
Aptvertā teritorija: | Valsts |
Atsauces: | Yang YS, Han B, Han K, Jung J, Son JW, TTOTOFSOTKSFTSOO. Obesity Fact Sheet in Korea, 2021: Trends in Obesity Prevalence and Obesity-Related Comorbidity Incidence Stratified by Age from 2009 to 2019. JOMES 2022;31:169-177. https://doi.org/10.7570/jomes22024 |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database (covers 97% of the population). The prevalence of obesity and abdominal obesity was standardized by age and sex based on the 2010 population and housing census. |
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 |
Izlases lielums: | 17126 |
Aptvertā teritorija: | Valsts |
Atsauces: | Kang HT, Shim JY, Lee HR et al. Trends in Prevalence of overweight and obesity in Korean Adults, 1998-2009: The Korean National Health and Nutrition Examination Survey. J Epidemilogy 2014;24(2):109-116 |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Bērni, 2017
Apsekojuma veids: | Mērītā vērtība |
Aptvertā teritorija: | Valsts |
Atsauces: | Kim, Jae Hyun, and Jin Soo Moon. “Secular Trends in Pediatric Overweight and Obesity in Korea.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 1, 30 Mar. 2020, pp. 12–17, 10.7570/jomes20002. Accessed 18 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the National School Health Examination 2017 |
Cutoffs: | WHO |
Liekais svars/aptaukošanās pēc reģiona
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19+ |
Izlases lielums: | 6126 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lee J, Sa J. Regional disparities in healthy eating and nutritional status in South Korea: Korea National Health and Nutrition Examination Survey 2017. Nutr Res Pract. 2020 Dec;14(6):679-690. doi: 10.4162/nrp.2020.14.6.679. Epub 2020 Oct 7. PMID: 33282128; PMCID: PMC7683206. |
Definīcijas (pieejamas tikai angļu valodā): | World Health Organization criteria for Asians are used: 1) underweight (BMI < 18.5), 2) normal weight (18.5 ≤ BMI < 23.0), 3) overweight (23.0 ≤ BMI < 25.0), and 4) obese (BMI ≥ 25.0) [17]. |
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. |
Infants, 2019-2021
Izlases lielums: | 1414207 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2016-2018
Izlases lielums: | 1704906 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2013-2015
Izlases lielums: | 1792817 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2010-2012
Izlases lielums: | 1789258 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2007-2009
Izlases lielums: | 1776107 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Definīcijas (pieejamas tikai angļu valodā): | WHO 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. |
Vīrieši, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Definīcijas (pieejamas tikai angļu valodā): | WHO 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, 2018
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Nam, Ga Eun, et al. “Obesity Fact Sheet in Korea, 2019: Prevalence of Obesity and Abdominal Obesity from 2009 to 2018 and Social Factors.” Journal of Obesity & Metabolic Syndrome, vol. 29, no. 2, 30 June 2020, pp. 124–132, www.ncbi.nlm.nih.gov/pmc/articles/PMC7338491/, 10.7570/jomes20058. Accessed 18 Oct. 2021. |
Piezīmes (pieejamas tikai angļu valodā): | Data from the Korean National Health Insurance Service health checkup database. |
Definīcijas (pieejamas tikai angļu valodā): | WHO 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. |
Vīrieši, 2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2014
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2013-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-64 |
Izlases lielums: | 7707 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lee JY, Lee YR, Kim RH, Myong JP, Kang MY. Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015. Saf Health Work. 2020 Mar;11(1):97-102. doi: 10.1016/j.shaw.2019.08.003. Epub 2019 Sep 3. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2013-2015
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-64 |
Izlases lielums: | 7707 |
Aptvertā teritorija: | Valsts |
Atsauces: | Lee JY, Lee YR, Kim RH, Myong JP, Kang MY. Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015. Saf Health Work. 2020 Mar;11(1):97-102. doi: 10.1016/j.shaw.2019.08.003. Epub 2019 Sep 3. |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2011
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2011
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2008
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2005
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2005
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 2001
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 2001
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Vīrieši, 1998
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Sievietes, 1998
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 19-65 |
Atsauces: | Jae Yong Lee, Yi-Ryoung Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Mo-Yeol Kang,Trends in Obesity Prevalence by Occupation Based on Korean National Health and Nutrition Examination Survey From 1998 to 2015, Safety and Health at Work Vol 11 (1);2020:97-103 |
Piezīmes (pieejamas tikai angļu valodā): | 2007-9 (marked as 2008), 2010-2012 (marked as 2011), 2013-15 (marked as 2014) |
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². |
Infants, 2019-2021
Izlases lielums: | 1414207 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2019-21 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2016-2018
Izlases lielums: | 1704906 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2016-2018 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2013-2015
Izlases lielums: | 1792817 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2013-2015 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2010-2012
Izlases lielums: | 1789258 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey, 2010-2012 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Infants, 2007-2009
Izlases lielums: | 1776107 |
Atsauces: | NHANES: South Korea National Health and Nutrition Examination Survey 2007-2009 |
Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Bērni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
Apsekojuma veids: | Pašu ziņojums |
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Bērni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
Vecums: | 11-17 |
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 25+ |
Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2015
Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2015
Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Barības vada vēzis
Vīrieši, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Kolorektālais vēzis
Vīrieši, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2020
Vecums: | 20+ |
Aptvertā teritorija: | Valsts |
Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2205 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Paaugstināts asinsspiediens
Pieaugušie, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2021
Vecums: | 20-79 |
Aptvertā teritorija: | Valsts |
Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
Vecums: | 20-79 |
Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
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 |
Guidelines/policy on obesity treatment? | 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