Ķīna
Upper-middle income
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Report cards
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Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Augļu patēriņš
Pārstrādātas gaļas patēriņš
Graudaugu patēriņš
Depresija
Trauksme
Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Unaffordable diet
Lejupielādēt ziņojumu kartīti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
Kolorektālais vēzis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
Paaugstināts asinsspiediens
Paaugstināts holesterīna līmenis
Paaugstināts glikozes līmenis asinīs
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Lejupielādēt ziņojumu kartīti
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Valsts stratēģija attiecībā uz aptaukošanos
Stratēģija uztura vai veselības jomā
Fiziska aktivitāte
Sabiedrības iniciatīvas
Starptautiskās stratēģijas saistībā ar aptaukošanos
Marķējums
NCD stratēģija
Pārvaldības vai apstrādes vadlīnijas
Non-national strategies
School Food Regulations/Guidelines
Barošana ar krūti
Obesity Target
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 155413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m², Obesity BMI ≥ 28 Kg/m² |
| Cutoffs: | Chinese |
| 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: | 18-59 |
| Izlases lielums: | 6602 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Huang, Q., Wang, L., Jiang, H., Wang, H., Zhang, B., Zhang, J., Jia, X. and Wang, Z., 2020. Intra-Individual Double Burden of Malnutrition among Adults in China: Evidence from the China Health and Nutrition Survey 2015. Nutrients, 12(9), p.2811. |
| Piezīmes (pieejamas tikai angļu valodā): | 3699 men and 2903 women |
| 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, 2015-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 72824 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| Piezīmes (pieejamas tikai angļu valodā): | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| 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, 2015-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 72824 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥23-<25 kg/m², Obesity BMI ≥ 25 kg/m² |
| Cutoffs: | WHO Asia |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 212658 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include participants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m², Obesity BMI ≥ 28 Kg/m² |
| Cutoffs: | Chinese |
| 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: | 18+ |
| Izlases lielums: | 8315 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x |
| 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: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 2007-2008
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 45956 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| Piezīmes (pieejamas tikai angļu valodā): | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| 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, 2007-2008
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 45956 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥23-<25 kg/m², Obesity BMI ≥ 25 kg/m² |
| Cutoffs: | WHO Asia |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Pieaugušie, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 2004
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 221044 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). |
| 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, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 247464 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include particpants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 1997
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Definīcijas (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 1991-1995
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 35-59 |
| Izlases lielums: | 9213 |
| Atsauces: | Zhou BF, Wu Yangfeng, Yang Jun, Li Ying, Zhang H, Zhao L. Overweight is an independent risk factor for cardiovascular disease in Chinese populations. Obesity Reviews 2002;3:147-156 |
| 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, 1989
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20-45 |
| Izlases lielums: | 2487 |
| Atsauces: | Bell AC, Ge K, Popkin BM. Weight gain and its predictors in Chinese adults. International Journal of Obesity 2;25:1079-1086001 |
| 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, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 1617 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhang J, Wang H, Wang Z, Du W, Su C, Zhang J, Jiang H, Jia X, Huang F, Ouyang Y, Wang Y, Zhang B.Prevalence and stabilizing trends in overweight and obesity among children and adolescents in China, 2011-2015. BMC Public Health. 2018 May 2;18(1):571. doi: 10.1186/s12889-018-5483-9. |
| Definīcijas (pieejamas tikai angļu valodā): | IOTF International Cut off. WHO & WGOC also available in paper. |
| Cutoffs: | IOTF |
Bērni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 29418 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Yunping Zhou, Qian Zhang, Tao Wang, Yanqing Zhang & Bo Xu. Prevalence of overweight and obesity in Chinese children and adolescents from 2015. Annals of Human Biology 2017;44:642-643 https://www.tandfonline.com/doi/full/10.1080/03014460.2017.1371224 |
| Definīcijas (pieejamas tikai angļu valodā): | 85th/95th Centiles Based on Chinese Reference Data see original article for details |
| Cutoffs: | Other |
Bērni, 2014-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-14 |
| Izlases lielums: | 325,083 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang et al. 2018. Prevalence of overweight and obesity among primary school-aged children in Jiangsu Province, China, 2014-2017.PLoS One. 2018; 13(8): e0202681. |
| Piezīmes (pieejamas tikai angļu valodā): | Subnational (Jiangsu Province) |
| Definīcijas (pieejamas tikai angļu valodā): | Working Group on Obesity in China (WGOC) BMI definition used |
| Cutoffs: | Other |
Bērni, 2011
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Atsauces: | Zhang, J., Wang, H., Wang, Z. et al. Prevalence and stabilizing trends in overweight and obesity among children and adolescents in China, 2011-2015. BMC Public Health 18, 571 (2018). https://doi.org/10.1186/s12889-018-5483-9 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight and obesity defined using WGOC Criteria |
| Cutoffs: | Other |
Bērni, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-9 |
| Izlases lielums: | 215,203 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Sun H, Ma Y, Han D, Pan C-W, Xu Y. Prevalence and Trends in Obesity among China’s Children and Adolescents, 1985–2010. Gonzalez-Bulnes A, ed. PLoS ONE. 2014;9(8):e105469. doi:10.1371/journal.pone.0105469. |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size for all children for all ages 7-18 A subject was considered to have obesity or overweight if weight-for-height exceeded the 20% or 10% of standard weight-for-height. The standard weight-for-height was the 80th percentile for sex- and age-specific growth charts. |
| Cutoffs: | Other |
Bērni, 2009
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-12 |
| Izlases lielums: | 1368 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Liang YJ, Xi B, Song AQ, Liu JX, Mi J. Trends in general and abdominal obesity. Pediatric Obesity 2012 Vol 7 (5):355-64 |
| Cutoffs: | IOTF |
Bērni, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-17 |
| Izlases lielums: | 44880 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Yanping L, Evert GS, Xiaoqi H, Zhaohui C, Dechun L and Guansheng M. 2008. Obesity prevalence and time trend among youngsters in china, 1982 - 2002. Asia Pac Journal of Clinical Nutrition, 17(1):131 - 137. |
| 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 |
Bērni, 1999-2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 11 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Bellizzi MC, Horgan GW, Guillaume M, Dietz WH. Prevalence of childhood and adolescent overweight and obesity in Asian and European countries. In: Obesity in Childhood and Adolescence. Editors: Chunming Chen, William H. Dietz. Nestle Nutrition Workshop Series Pediatric Program. Philadelphia: Lippincott Williams and Wilkins, 2002 |
| 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 |
Bērni, 1992
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-17 |
| Izlases lielums: | 15501 |
| Atsauces: | Li Y,, Schouten EG, Hu X et al. Obesity prevalence and time trend among youngsters in China, 1982-2002. Published in Asia Pacific Journal of Clinical Nutrition. Our version from Book - Li Y. Childhood Obesity in China: prevalence, determinants and health. Chapter 2 |
| 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 |
Bērni, 1982
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-17 |
| Izlases lielums: | 10127 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li Y,, Schouten EG, Hu X et al. Obesity prevalence and time trend among youngsters in China, 1982-2002. Published in Asia Pacific Journal of Clinical Nutrition. Our version from Book - Li Y. Childhood Obesity in China: prevalence, determinants and health. |
| 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, 2016-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Other: China Nutrition and Health Surveillance of Children and Lactating Women 2016–2017 |
| 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
| Vecums: | 0-5 |
| Izlases lielums: | 28839 |
| Atsauces: | Other: China National Nutrition and Health Survey, 2013 |
| 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
| Vecums: | 0-5 |
| Izlases lielums: | 15399 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2010) - National (38 nutrition surveillance sites from 25 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 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, 2009
| Vecums: | 0-5 |
| Izlases lielums: | 10635 |
| Atsauces: | Other: Nutrition and rapid economic development - 2010 research report on nutrition policy in China. Beijing, China: Chinese Center for Disease Control and Prevention, 2010 |
| 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, 2008
| Vecums: | 0-5 |
| Izlases lielums: | 10726 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2008) - National (26 nutrition surveillance sites from rural areas). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 2005
| Vecums: | 0-5 |
| Izlases lielums: | 15987 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2005) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 2002
| Vecums: | 0-5 |
| Izlases lielums: | 16564 |
| Atsauces: | Other: China National Nutrition and Health Survey, 2002 |
| 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, 2000
| Vecums: | 0-5 |
| Izlases lielums: | 16460 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2000) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1998
| Vecums: | 0-5 |
| Izlases lielums: | 13838 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1998) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1995
| Vecums: | 0-5 |
| Izlases lielums: | 2832 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1995) - National surveillance system in 7 provinces. Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1992
| Vecums: | 0-5 |
| Izlases lielums: | 5535 |
| Atsauces: | NNS: The dietary and nutritional status of Chinese population: 1992 national nutrition survey. Beijing: Institute of Nutrition and Food Hygiene, 1995 |
| 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, 1990
| Vecums: | 0-5 |
| Izlases lielums: | 4332 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1990) - National surveillance system in 7 provinces. Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| Piezīmes (pieejamas tikai angļu valodā): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Definīcijas (pieejamas tikai angļu valodā): | =>+2SD |
% Adults living with obesity, 2002-2019
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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 | |
Sievietes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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 obesity, 2002-2019
Vīrieši
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Sievietes
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
| 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 urbanisation in China 1993-2009
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993-2009. Obesity Reviews, 13: 287-296. doi: 10.1111/j.1467-789X.2011.00944.x |
| 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 in China 1993-2009
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993-2009. Obesity Reviews, 13: 287-296. doi: 10.1111/j.1467-789X.2011.00944.x |
| 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, 2002-2019
Vīrieši
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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 | |
Sievietes
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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, 2002-2019
Vīrieši
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Sievietes
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
| Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos | |
Children living with Overweight or obesity in China
| Apsekojuma veids: | Mērītā vērtība |
| Atsauces: | 1982: Li Y,, Schouten EG, Hu X et al. Obesity prevalence and time trend among youngsters in China, 1982-2002. Published in Asia Pacific Journal of Clinical Nutrition. Our version from Book - Li Y. Childhood Obesity in China: prevalence, determinants and health. 1992: Li Y,, Schouten EG, Hu X et al. Obesity prevalence and time trend among youngsters in China, 1982-2002. Published in Asia Pacific Journal of Clinical Nutrition. Our version from Book - Li Y. Childhood Obesity in China: prevalence, determinants and health. Chapter 2 2002: Yanping L, Evert GS, Xiaoqi H, Zhaohui C, Dechun L and Guansheng M. 2008. Obesity prevalence and time trend among youngsters in china, 1982 - 2002. Asia Pac Journal of Clinical Nutrition, 17(1):131 - 137. |
| 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, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18-59 |
| Izlases lielums: | 6602 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Huang, Q., Wang, L., Jiang, H., Wang, H., Zhang, B., Zhang, J., Jia, X. and Wang, Z., 2020. Intra-Individual Double Burden of Malnutrition among Adults in China: Evidence from the China Health and Nutrition Survey 2015. Nutrients, 12(9), p.2811. |
| Piezīmes (pieejamas tikai angļu valodā): | 3699 men and 2903 women |
| 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, 2014-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 35+ |
| Izlases lielums: | 2,609,484 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Mu, L. et al. (2021). Obesity Prevalence and Risks Among Chinese Adults: Findings From the China PEACE Million Persons Project, 2014–2018. Circulation Cardiovascular Quality and Outcomes, [online] 14(6). doi:https://doi.org/10.1161/circoutcomes.120.007292 |
| Piezīmes (pieejamas tikai angļu valodā): | Chinese Cutoffs applied. 35,237 refused to answer/unknown (excluded from sample size) |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Sievietes, 2014-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 35+ |
| Izlases lielums: | 2,609,484 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Mu, L. et al. (2021). Obesity Prevalence and Risks Among Chinese Adults: Findings From the China PEACE Million Persons Project, 2014–2018. Circulation Cardiovascular Quality and Outcomes, [online] 14(6). doi:https://doi.org/10.1161/circoutcomes.120.007292 |
| Piezīmes (pieejamas tikai angļu valodā): | Chinese Cutoffs applied. 35,237 refused to answer/unknown (excluded from sample size) |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Bērni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-12 |
| Izlases lielums: | 9917 |
| Aptvertā teritorija: | Regional - Guangzhou (urban setting) |
| Atsauces: | Liu W, Liu W, Lin R, et al. Socioeconomic determinants of childhood obesity among primary school children in Guangzhou, China. BMC Public Health. 2016;16:482. doi:10.1186/s12889-016-3171-1. |
| Piezīmes (pieejamas tikai angļu valodā): | BMI standard deviation scores (BMI z-score) were derived using the age (calculated by subtracting the date of birth from the date of examination) and sex specific WHO growth reference for school-aged children, which were further classified as non-overweight (≤1SD), overweight (>1SD) and obese (>2SD). Overweight and obesity prevalence by Father's education. Education was categorised into low (primary and junior high school level), medium (senior high and vocational school level) or high (university level or higher). |
| Cutoffs: | WHO |
Bērni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-12 |
| Izlases lielums: | 9917 |
| Aptvertā teritorija: | Regional - Guangzhou (urban setting) |
| Atsauces: | Liu W, Liu W, Lin R, et al. Socioeconomic determinants of childhood obesity among primary school children in Guangzhou, China. BMC Public Health. 2016;16:482. doi:10.1186/s12889-016-3171-1. |
| Piezīmes (pieejamas tikai angļu valodā): | BMI standard deviation scores (BMI z-score) were derived using the age (calculated by subtracting the date of birth from the date of examination) and sex specific WHO growth reference for school-aged children, which were further classified as non-overweight (≤1SD), overweight (>1SD) and obese (>2SD). Overweight and obesity prevalence by Father's education. Education was categorised into low (primary and junior high school level), medium (senior high and vocational school level) or high (university level or higher). |
| Cutoffs: | WHO |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 155413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Chinese Cut Off applied |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 6602 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Huang, Q., Wang, L., Jiang, H., Wang, H., Zhang, B., Zhang, J., Jia, X. and Wang, Z., 2020. Intra-Individual Double Burden of Malnutrition among Adults in China: Evidence from the China Health and Nutrition Survey 2015. Nutrients, 12(9), p.2811. |
| Piezīmes (pieejamas tikai angļu valodā): | 3699 men and 2903 women |
| 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, 2015-2017
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 72824 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| 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, 2010-2012
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 212658 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size taken from a different source, the number with complete measurements may be lower |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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, 2007-2008
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 45956 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| 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, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 247464 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size was taken from a different source, number of participants with complete measurements may be smaller |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Bērni, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 1617 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhang J, Wang H, Wang Z, Du W, Su C, Zhang J, Jiang H, Jia X, Huang F, Ouyang Y, Wang Y, Zhang B.Prevalence and stabilizing trends in overweight and obesity among children and adolescents in China, 2011-2015. BMC Public Health. 2018 May 2;18(1):571. doi: 10.1186/s12889-018-5483-9. |
| Piezīmes (pieejamas tikai angļu valodā): | International Cut off used, WHO & WGOC also available |
| Cutoffs: | IOTF |
Bērni, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 29,418 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhou, Y. et al. (2017) 'Prevalence of overweight and obesity in Chinese children and adolescents from 2015', Annals of Human Biology, 44 (7). http://dx.doi.org/10.1080/03014460.2017.1371224 |
| Piezīmes (pieejamas tikai angļu valodā): | Subjects were defined as being overweight (BMI P85 and <P95) or obese (BMI P95) by referring to the Body Mass Index Reference Norm for Screening Overweight and Obesity in Chinese Children and Adolescents. |
| Cutoffs: | Other |
Bērni, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 215203 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Sun H, Ma Y, Han D, Pan C-W, Xu Y. Prevalence and Trends in Obesity among China’s Children and Adolescents, 1985–2010. Gonzalez-Bulnes A, ed. PLoS ONE. 2014;9(8):e105469. doi:10.1371/journal.pone.0105469. |
| Piezīmes (pieejamas tikai angļu valodā): | A subject was considered obese or overweight if weight-for-height exceeded the 20% or 10% of standard weight-for-height. The standard weight-for-height was the 80th percentile for sex- and age-specific growth charts. |
| Cutoffs: | Other |
Bērni, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 70508 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li Y, Schouten EG, Hu X, Cui Z, Luan D, Ma G. Obesity prevalence and time trend among youngsters in China, 1982-2002. Asia Pac J Clin Nutr. 2008;17(1):131-137. |
| Cutoffs: | IOTF |
Bērni, 1992
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 70508 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li Y, Schouten EG, Hu X, Cui Z, Luan D, Ma G. Obesity prevalence and time trend among youngsters in China, 1982-2002. Asia Pac J Clin Nutr. 2008;17(1):131-137. |
| Cutoffs: | IOTF |
Bērni, 1982
| Apsekojuma veids: | Mērītā vērtība |
| Izlases lielums: | 70508 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li Y, Schouten EG, Hu X, Cui Z, Luan D, Ma G. Obesity prevalence and time trend among youngsters in China, 1982-2002. Asia Pac J Clin Nutr. 2008;17(1):131-137. |
| Cutoffs: | IOTF |
Liekais svars/aptaukošanās pēc reģiona
Vīrieši, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 155413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Sievietes, 2018-2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 155413 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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, 2015-2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 72824 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| 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. | |
Vīrieši, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 212658 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include particpants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Sievietes, 2012
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 212658 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include particpants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Vīrieši, 2009
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 2009
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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, 2007-2008
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Izlases lielums: | 45956 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. |
| 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. | |
Vīrieši, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 2006
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Vīrieši, 2004
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 2004
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Vīrieši, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 247464 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include particpants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Sievietes, 2002
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Izlases lielums: | 247464 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Wen Peng, Shiqi Chen and Xinguang Chen et al. Trends in major non-communicable diseases and related risk factors in China 2002–2019: an analysis of nationally representative survey data. The Lancet Regional Health: Western Pacific. 2023. Vol. 43. DOI: 10.1016/j.lanwpc.2023.100809 |
| Piezīmes (pieejamas tikai angļu valodā): | Sample size extracted from different source, may include particpants with incomplete data |
| Definīcijas (pieejamas tikai angļu valodā): | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Vīrieši, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Vīrieši, 1997
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 1997
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Vīrieši, 1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Sievietes, 1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18+ |
| Atsauces: | Xi, B., Liang, Y., He, T., Reilly, K. H., Hu, Y., Wang, Q., Yan, Y. and Mi, J. (2012), Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obesity Reviews, 13: 287–296. doi: 10.1111/j.1467-789X.2011.00944.x |
| Piezīmes (pieejamas tikai angļu valodā): | Obesity classified as BMI ≥ 30 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. | |
Bērni, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X. et al. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1. |
| Cutoffs: | WHO 2007 |
Zēni, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X. et al. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1. |
| Cutoffs: | WHO 2007 |
Meitenes, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X. et al. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1. |
| Cutoffs: | WHO 2007 |
Bērni, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 1617 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhang J, Wang H, Wang Z, Du W, Su C, Zhang J, Jiang H, Jia X, Huang F, Ouyang Y, Wang Y, Zhang B.Prevalence and stabilizing trends in overweight and obesity among children and adolescents in China, 2011-2015. BMC Public Health. 2018 May 2;18(1):571. doi: 10.1186/s12889-018-5483-9. |
| Piezīmes (pieejamas tikai angļu valodā): | International Cut off used, WHO & WGOC also available |
| Cutoffs: | IOTF |
Bērni, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 13-17 |
| Izlases lielums: | 29,418 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhou, Y. et al. (2017) 'Prevalence of overweight and obesity in Chinese children and adolescents from 2015', Annals of Human Biology, 44 (7). http://dx.doi.org/10.1080/03014460.2017.1371224 |
| Piezīmes (pieejamas tikai angļu valodā): | Subjects were defined as being overweight (BMI P85 and <P95) or obese (BMI P95) by referring to the Body Mass Index Reference Norm for Screening Overweight and Obesity in Chinese Children and Adolescents. |
| Cutoffs: | Other |
Bērni, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-12 |
| Izlases lielums: | 29,418 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Zhou, Y. et al. (2017) 'Prevalence of overweight and obesity in Chinese children and adolescents from 2015', Annals of Human Biology, 44 (7). http://dx.doi.org/10.1080/03014460.2017.1371224 |
| Piezīmes (pieejamas tikai angļu valodā): | Subjects were defined as being overweight (BMI P85 and <P95) or obese (BMI P95) by referring to the Body Mass Index Reference Norm for Screening Overweight and Obesity in Chinese Children and Adolescents. 2015 Regional data also available for: Beijing, Shanghai, Nanjing, and Xi'an (https://www.ncbi.nlm.nih.gov/pubmed/29212483 ;Zhao et al. 2017) |
| Cutoffs: | Other |
Zēni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 4847 |
| Aptvertā teritorija: | Shandong Province (Rural) |
| Atsauces: | Zhang YX, Wang ZX, Zhao JS, Chu ZH. Trends in overweight and obesity among rural children and adolescents from 1985 to 2014 in Shandong, China. Eur J Prev Cardiol. 2016 Apr 26. pii: 204748731664383 |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity in Rural China. IOTF BMI Cut-off points used. |
| Cutoffs: | IOTF |
Meitenes, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 4847 |
| Aptvertā teritorija: | Shandong Province (Rural) |
| Atsauces: | Zhang YX, Wang ZX, Zhao JS, Chu ZH. Trends in overweight and obesity among rural children and adolescents from 1985 to 2014 in Shandong, China. Eur J Prev Cardiol. 2016 Apr 26. pii: 204748731664383 |
| Piezīmes (pieejamas tikai angļu valodā): | Prevalence of overweight and obesity in Rural China. IOTF BMI Cut-off points used. |
| Cutoffs: | IOTF |
Zēni, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 215203 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Sun H, Ma Y, Han D, Pan C-W, Xu Y. Prevalence and Trends in Obesity among China’s Children and Adolescents, 1985–2010. Gonzalez-Bulnes A, ed. PLoS ONE. 2014;9(8):e105469. doi:10.1371/journal.pone.0105469. |
| Piezīmes (pieejamas tikai angļu valodā): | A subject was considered obese or overweight if weight-for-height exceeded the 20% or 10% of standard weight-for-height. The standard weight-for-height was the 80th percentile for sex- and age-specific growth charts. |
| Cutoffs: | Other |
Meitenes, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 215203 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Sun H, Ma Y, Han D, Pan C-W, Xu Y. Prevalence and Trends in Obesity among China’s Children and Adolescents, 1985–2010. Gonzalez-Bulnes A, ed. PLoS ONE. 2014;9(8):e105469. doi:10.1371/journal.pone.0105469. |
| Piezīmes (pieejamas tikai angļu valodā): | A subject was considered obese or overweight if weight-for-height exceeded the 20% or 10% of standard weight-for-height. The standard weight-for-height was the 80th percentile for sex- and age-specific growth charts. |
| Cutoffs: | Other |
Bērni, 1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-9 |
| Izlases lielums: | Total sample size (6-18yrs old) = 3028 |
| Aptvertā teritorija: | Ķīnas veselības un uztura apsekojumi (CHNS) aptvēra astoņas provinces, kuru ģeogrāfiskā, ekonomiskā attīstība, valsts resursi un veselības rādītāji ievērojami atšķiras. |
| Atsauces: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Piezīmes (pieejamas tikai angļu valodā): | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
0-5 years, 2010
| Izlases lielums: | 15399 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2010) - National (38 nutrition surveillance sites from 25 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 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, 2005
| Izlases lielums: | 15987 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2005) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 2002
| Izlases lielums: | 16564 |
| Atsauces: | Other: China National Nutrition and Health Survey, 2002 |
| 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, 2000
| Izlases lielums: | 16460 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (2000) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1998
| Izlases lielums: | 13838 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1998) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1995
| Izlases lielums: | 2832 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1995) - National surveillance system in 7 provinces. Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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, 1992
| Izlases lielums: | 5535 |
| Atsauces: | NNS: The dietary and nutritional status of Chinese population: 1992 national nutrition survey. Beijing: Institute of Nutrition and Food Hygiene, 1995 |
| 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, 1990
| Izlases lielums: | 4332 |
| Atsauces: | Surveillance: Nutritional status of children aged 0-5 years old in China (1990) - National surveillance system in 7 provinces. Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| 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 un reģiona
Vīrieši, 2005
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| 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: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| 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, 1995
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| 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, 1995
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| 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, 1985
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| 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, 1985
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18 |
| Izlases lielums: | 30447 |
| Aptvertā teritorija: | Reģioni |
| Atsauces: | Zhang YX, Wang SR. Distribution of body mass index and the prevalence changes of overweight and obesity among adolescents in Shandong, China from 1985 to 2005. Annals of Human Biology, Volume 35, Issue 5 September 2008 , pages 547 - 555 |
| Cutoffs: | Other |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Pieaugušie, 2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 18-59 |
| Izlases lielums: | 6602 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Huang, Q., Wang, L., Jiang, H., Wang, H., Zhang, B., Zhang, J., Jia, X. and Wang, Z., 2020. Intra-Individual Double Burden of Malnutrition among Adults in China: Evidence from the China Health and Nutrition Survey 2015. Nutrients, 12(9), p.2811. |
| Piezīmes (pieejamas tikai angļu valodā): | 3699 men and 2903 women |
| 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, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X., Zhou, B., Baird, S., Lu, C., Majid Ezzati, Chen, L., Liu, J., Zhang, Y., Wang, R., Ma, Q., Jiang, J., Qin, Y., Dong, Z., Yuan, W., Guo, T., Song, Z., Liu, Y., Dang, J., Hu, P. and Dong, Y. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1 |
| Piezīmes (pieejamas tikai angļu valodā): | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| Definīcijas (pieejamas tikai angļu valodā): | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
Zēni, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X., Zhou, B., Baird, S., Lu, C., Majid Ezzati, Chen, L., Liu, J., Zhang, Y., Wang, R., Ma, Q., Jiang, J., Qin, Y., Dong, Z., Yuan, W., Guo, T., Song, Z., Liu, Y., Dang, J., Hu, P. and Dong, Y. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1 |
| Piezīmes (pieejamas tikai angļu valodā): | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| Definīcijas (pieejamas tikai angļu valodā): | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
Meitenes, 2019
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 212,713 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Song, X., Zhou, B., Baird, S., Lu, C., Majid Ezzati, Chen, L., Liu, J., Zhang, Y., Wang, R., Ma, Q., Jiang, J., Qin, Y., Dong, Z., Yuan, W., Guo, T., Song, Z., Liu, Y., Dang, J., Hu, P. and Dong, Y. 2024. Trends and inequalities in thinness and obesity among Chinese children and adolescents: evidence from seven national school surveys between 1985 and 2019. The Lancet Public Health. [online] doi:https://doi.org/10.1016/s2468-2667(24)00211-1 |
| Piezīmes (pieejamas tikai angļu valodā): | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| Definīcijas (pieejamas tikai angļu valodā): | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
Bērni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-12 |
| Izlases lielums: | 9917 |
| Aptvertā teritorija: | Regional - Guangzhou (urban setting) |
| Atsauces: | Liu W, Liu W, Lin R, et al. Socioeconomic determinants of childhood obesity among primary school children in Guangzhou, China. BMC Public Health. 2016;16:482. doi:10.1186/s12889-016-3171-1. |
| Piezīmes (pieejamas tikai angļu valodā): | BMI standard deviation scores (BMI z-score) were derived using the age (calculated by subtracting the date of birth from the date of examination) and sex specific WHO growth reference for school-aged children, which were further classified as non-overweight (≤1SD), overweight (>1SD) and obese (>2SD). Overweight and obesity prevalence by Father's education. Education was categorised into low (primary and junior high school level), medium (senior high and vocational school level) or high (university level or higher). |
| Cutoffs: | WHO |
Bērni, 2004
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-17 |
| Izlases lielums: | 1566 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | CHNS 2004 data in: T Dearth-Wesley, H Wang and BM Popkin. Under- and overnutrition dynamics in Chinese children and adults (1991–2004)European Journal of Clinical Nutrition (2008) 62, 1302–1307 |
| Cutoffs: | Other |
Bērni, 1993
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 6-9 |
| Izlases lielums: | Total sample size (6-18yrs old) = 3028 |
| Aptvertā teritorija: | Ķīnas veselības un uztura apsekojumi (CHNS) aptvēra astoņas provinces, kuru ģeogrāfiskā, ekonomiskā attīstība, valsts resursi un veselības rādītāji ievērojami atšķiras. |
| Atsauces: | Youfa Wang.Cross-national comparison of childhood obesity: the epidemic and the relationship between obesity and socioeconomic status. Int. J. Epidemiol. (2001) 30 (5): 1129-1136. doi: 10.1093/ije/30.5.1129 |
| Piezīmes (pieejamas tikai angļu valodā): | The study used the US NCHS body mass index (BMI = wt/ht2) reference to define obesity (BMI ≥95th percentile) and overweight (85th≤BMI<95th percentile). |
| Cutoffs: | Other |
Liekais svars/aptaukošanās pēc etniskās piederības
Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.
Pieaugušie, 2014-2015
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 40+ |
| Izlases lielums: | 726,390 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Tong, X. et al. (2019). Prevalence and ethnic pattern of overweight and obesity among middle-aged and elderly adults in China. European Journal of Preventive Cardiology, [online] 26(16), pp.1785–1789. doi:https://doi.org/10.1177/2047487319845129 |
| Piezīmes (pieejamas tikai angļu valodā): | Data from China National Stroke Screening and Prevention Project Study (CNSSPP) |
| 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, 2014-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 35+ |
| Izlases lielums: | 2,644,721 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Mu, L et al. (2021). Obesity Prevalence and Risks Among Chinese Adults: Findings From the China PEACE Million Persons Project, 2014–2018. Circulation Cardiovascular Quality and Outcomes, [online] 14(6). doi:https://doi.org/10.1161/circoutcomes.120.007292 |
| Piezīmes (pieejamas tikai angļu valodā): | Chinese Cutoffs applied. 1,574,421 women, 1,070,300 men |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Sievietes, 2014-2018
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 35+ |
| Izlases lielums: | 2,644,721 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Mu, L et al. (2021). Obesity Prevalence and Risks Among Chinese Adults: Findings From the China PEACE Million Persons Project, 2014–2018. Circulation Cardiovascular Quality and Outcomes, [online] 14(6). doi:https://doi.org/10.1161/circoutcomes.120.007292 |
| Piezīmes (pieejamas tikai angļu valodā): | Chinese Cutoffs applied. 1,574,421 women, 1,070,300 men |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 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. | |
Bērni, 2014
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 7-18 |
| Izlases lielums: | 80,821 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Dong, Yanhui, et al. “Prevalence of Excess Body Weight and Underweight among 26 Chinese Ethnic Minority Children and Adolescents in 2014: A Cross-Sectional Observational Study.” BMC Public Health, vol. 18, no. 1, 27 Apr. 2018, 10.1186/s12889-018-5352-6. |
| Piezīmes (pieejamas tikai angļu valodā): | Data from Chinese National Survey on Students Constitution and Health 2014 |
| Cutoffs: | Overweight and obesity was defined as ≥ the referent age-and sex- specific 85th centile according to the reference developed by Working Group on Obesity in China (WGOC) |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age Standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Bērni, 2022
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piezīmes (pieejamas tikai angļu valodā): | Age standardised estimates |
| Definīcijas (pieejamas tikai angļu valodā): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2013
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | China National Nutrition and Health Survey, 2013 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2010
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Nutritional status of children aged 0-5 years old in China (2010) - National (38 nutrition surveillance sites from 25 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2012 |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2005
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Nutritional status of children aged 0-5 years old in China (2005) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2000
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piezīmes (pieejamas tikai angļu valodā): | Nutritional status of children aged 0-5 years old in China (2000) - National (40 nutrition surveillance sites from 26 provinces). Beijing, China: Chinese Center for Disease Control and Prevention, 2010. |
| Definīcijas (pieejamas tikai angļu valodā): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fiziskās aktivitātes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Vīrieši, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Definīcijas (pieejamas tikai angļu valodā): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Pieaugušie, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Vīrieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Bērni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Bērni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Zēni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piezīmes (pieejamas tikai angļu valodā): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Definīcijas (pieejamas tikai angļu valodā): | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita fruit intake (g/day) |
Aptuvenais pārstrādātas gaļas patēriņš uz vienu iedzīvotāju
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | Mērītā vērtība |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Definīcijas (pieejamas tikai angļu valodā): | Estimated per-capita whole grains intake (g/day) |
Garīgā veselība – depresijas traucējumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Bērni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Zēni, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvertā teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Garīgā veselība – trauksmes problēmas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Vīrieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Definīcijas (pieejamas tikai angļu valodā): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
Bērni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Zēni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 2007-2023
| Atsauces: | China Nutrition and Health Surveillance of Children and Lactating Women 2016–2017 |
| Piezīmes (pieejamas tikai angļu valodā): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Barības vada vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| 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 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Kolorektālais vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| 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 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| 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 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| 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 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| 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 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2089 |
| Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Paaugstināts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vīrieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstināts holesterīna līmenis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vīrieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Definīcijas (pieejamas tikai angļu valodā): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstināts glikozes līmenis asinīs
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Definīcijas (pieejamas tikai angļu valodā): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabēta izplatība
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Definīcijas (pieejamas tikai angļu valodā): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Indicence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Non Hodgkin Lymphoma
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
| Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m². | |
Thyroid Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvertā teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Definīcijas (pieejamas tikai angļu valodā): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Present-(voluntary) |
| Back-of-pack nutrition declaration? | Present |
| Color coding? | Absent |
| Warning label? | Incoming |
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? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| 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? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Unknown |
| Within 5 years? | Unknown |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Last updated June 18, 2025
Download contextual factors as a PDF Contextual factors definitions