Китай
Upper-middle income
- Общ преглед
- Разпространение на затлъстяването
- Тенденции във времето
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Икономическо въздействие
- Политики
- Contextual factors
Report cards
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Разбивки на населението
Причини
Недостатъчна активност
Консумация на плодове
Консумация на преработено месо
Консумация на зърнени култури
Депресия
Тревожност
Причини за затлъстяването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Unaffordable diet
Изтегляне на карта за отчитане
Съпътстващи заболявания
Рак на хранопровода
Рак на гърдата
Колоректален рак
Рак на панкреаса
Рак на жлъчния мехур
Рак на бъбреците
Рак на матката
Повишено кръвно налягане
Повишен холестерол
Повишена кръвна захар на гладно
Преобладаване на диабета
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Изтегляне на карта за отчитане
Икономическо въздействие
Политики
Национална стратегия относно затлъстяването
Стратегия относно храненето и здравеопазването
Физическата активност
Обществени намеси
Транснационални стратегии за затлъстяване
Етикетиране
Стратегия за НЗБ
Насоки за управление или лечение
Non-national strategies
School Food Regulations/Guidelines
Кърмене
Obesity Target
Изтегляне на карта за отчитане
Contextual factors
Разпространение на затлъстяването
Възрастни, 2018-2019
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Количество на пробите: | 155413 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Определения: | Overweight BMI ≥24-<28 Kg/m², Obesity BMI ≥ 28 Kg/m² |
| Cutoffs: | Chinese |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2015-2017
| Тип анкета: | Измерено |
| Възраст: | 20+ |
| Количество на пробите: | 72824 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2015
| Тип анкета: | Измерено |
| Възраст: | 18-59 |
| Количество на пробите: | 6602 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | 3699 men and 2903 women |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2015-2017
| Тип анкета: | Измерено |
| Възраст: | 20+ |
| Количество на пробите: | 72824 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Определения: | Overweight BMI ≥23-<25 kg/m², Obesity BMI ≥ 25 kg/m² |
| Cutoffs: | WHO Asia |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2012
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Количество на пробите: | 212658 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Забележки: | Sample size extracted from different source, may include participants with incomplete data |
| Определения: | Overweight BMI ≥24-<28 Kg/m², Obesity BMI ≥ 28 Kg/m² |
| Cutoffs: | Chinese |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2009
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Количество на пробите: | 8315 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2009
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2007-2008
| Тип анкета: | Измерено |
| Възраст: | 20+ |
| Количество на пробите: | 45956 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | WHO standard cutoffs shown to allow comparison with non-Asian countries, data using WHO Asia cutoffs also available |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2007-2008
| Тип анкета: | Измерено |
| Възраст: | 20+ |
| Количество на пробите: | 45956 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Определения: | Overweight BMI ≥23-<25 kg/m², Obesity BMI ≥ 25 kg/m² |
| Cutoffs: | WHO Asia |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2006
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2004
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2002
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Количество на пробите: | 247464 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Забележки: | Sample size extracted from different source, may include particpants with incomplete data |
| Определения: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2002
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Количество на пробите: | 221044 |
| Обхваната зона: | Национално |
| Референции: | Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 2000
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 1997
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 1993
| Тип анкета: | Измерено |
| Възраст: | 18+ |
| Референции: | 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 |
| Определения: | Obesity classified as BMI ≥ 30 Kg/m² |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 1991-1995
| Тип анкета: | Измерено |
| Възраст: | 35-59 |
| Количество на пробите: | 9213 |
| Референции: | 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 |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Възрастни, 1989
| Тип анкета: | Измерено |
| Възраст: | 20-45 |
| Количество на пробите: | 2487 |
| Референции: | Bell AC, Ge K, Popkin BM. Weight gain and its predictors in Chinese adults. International Journal of Obesity 2;25:1079-1086001 |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°. | |
Деца, 2015
| Тип анкета: | Измерено |
| Възраст: | 7-18 |
| Количество на пробите: | 1617 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Определения: | IOTF International Cut off. WHO & WGOC also available in paper. |
| Cutoffs: | IOTF |
Деца, 2014
| Тип анкета: | Измерено |
| Количество на пробите: | 29418 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Определения: | 85th/95th Centiles Based on Chinese Reference Data see original article for details |
| Cutoffs: | Other |
Деца, 2014-2017
| Тип анкета: | Измерено |
| Възраст: | 7-14 |
| Количество на пробите: | 325,083 |
| Обхваната зона: | Регионални |
| Референции: | 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. |
| Забележки: | Subnational (Jiangsu Province) |
| Определения: | Working Group on Obesity in China (WGOC) BMI definition used |
| Cutoffs: | Other |
Деца, 2011
| Тип анкета: | Измерено |
| Възраст: | 7-18 |
| Референции: | 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 |
| Определения: | Overweight and obesity defined using WGOC Criteria |
| Cutoffs: | Other |
Деца, 2010
| Тип анкета: | Измерено |
| Възраст: | 7-9 |
| Количество на пробите: | 215,203 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | 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 |
Деца, 2009
| Тип анкета: | Измерено |
| Възраст: | 6-12 |
| Количество на пробите: | 1368 |
| Обхваната зона: | Национално |
| Референции: | 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 |
Деца, 2002
| Тип анкета: | Измерено |
| Възраст: | 7-17 |
| Количество на пробите: | 44880 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | 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 |
Деца, 1999-2000
| Тип анкета: | Измерено |
| Възраст: | 11 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Забележки: | 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 |
Деца, 1992
| Тип анкета: | Измерено |
| Възраст: | 7-17 |
| Количество на пробите: | 15501 |
| Референции: | 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 |
| Забележки: | 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 |
Деца, 1982
| Тип анкета: | Измерено |
| Възраст: | 7-17 |
| Количество на пробите: | 10127 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Забележки: | 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
| Тип анкета: | Измерено |
| Възраст: | 0-5 |
| Обхваната зона: | Национално |
| Референции: | Other: China Nutrition and Health Surveillance of Children and Lactating Women 2016–2017 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2013
| Възраст: | 0-5 |
| Количество на пробите: | 28839 |
| Референции: | Other: China National Nutrition and Health Survey, 2013 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2010
| Възраст: | 0-5 |
| Количество на пробите: | 15399 |
| Референции: | 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 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2009
| Възраст: | 0-5 |
| Количество на пробите: | 10635 |
| Референции: | Other: Nutrition and rapid economic development - 2010 research report on nutrition policy in China. Beijing, China: Chinese Center for Disease Control and Prevention, 2010 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2008
| Възраст: | 0-5 |
| Количество на пробите: | 10726 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2005
| Възраст: | 0-5 |
| Количество на пробите: | 15987 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2002
| Възраст: | 0-5 |
| Количество на пробите: | 16564 |
| Референции: | Other: China National Nutrition and Health Survey, 2002 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2000
| Възраст: | 0-5 |
| Количество на пробите: | 16460 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 1998
| Възраст: | 0-5 |
| Количество на пробите: | 13838 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 1995
| Възраст: | 0-5 |
| Количество на пробите: | 2832 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 1992
| Възраст: | 0-5 |
| Количество на пробите: | 5535 |
| Референции: | NNS: The dietary and nutritional status of Chinese population: 1992 national nutrition survey. Beijing: Institute of Nutrition and Food Hygiene, 1995 |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 1990
| Възраст: | 0-5 |
| Количество на пробите: | 4332 |
| Референции: | 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. |
| Забележки: | 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. |
| Определения: | =>+2SD |
% Adults living with obesity, 2002-2019
????
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with obesity, 2002-2019
????
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity by urbanisation in China 1993-2009
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity in China 1993-2009
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity, 2002-2019
????
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????
| ??? ??????: | ???????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
% Adults living with overweight or obesity, 2002-2019
????
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
Children living with Overweight or obesity in China
???????
| ??? ??????: | ???????? |
| ??????????: | 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. |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
????????
| ??? ??????: | ???????? |
| ??????????: | 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. |
| ?? ???????? ?? ???? ????? ???? ?? ?? ?????????? ???????? ???????????, ???? ?? ??????? ?? ???????? ?????????? ???? ?? ?? ?? ?????? ????????. ????????? ??? ???????????? ????????? ?? ????? ?? ???????????? ??????????? | |
?????????? ?????/???????????? ?? ???????????
?????????, 2015
| ??? ??????: | ???????? |
| ???????: | 18-59 |
| ?????????? ?? ???????: | 6602 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 3699 men and 2903 women |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014-2018
| ??? ??????: | ???????? |
| ???????: | 35+ |
| ?????????? ?? ???????: | 2,609,484 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014-2018
| ??? ??????: | ???????? |
| ???????: | 35+ |
| ?????????? ?? ???????: | 2,609,484 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014
| ??? ??????: | ???????? |
| ???????: | 5-12 |
| ?????????? ?? ???????: | 9917 |
| ????????? ????: | Regional - Guangzhou (urban setting) |
| ??????????: | 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. |
| ?????????: | 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 |
????, 2014
| ??? ??????: | ???????? |
| ???????: | 5-12 |
| ?????????? ?? ???????: | 9917 |
| ????????? ????: | Regional - Guangzhou (urban setting) |
| ??????????: | 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. |
| ?????????: | 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 |
?????????? ?????/???????????? ?? ???????
?????????, 2018-2019
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 155413 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Chinese Cut Off applied |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2015
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 6602 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 3699 men and 2903 women |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2015-2017
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 72824 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ???????????: | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Cutoffs: | WHO Asia |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2010-2012
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 212658 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size taken from a different source, the number with complete measurements may be lower |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2007-2008
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 45956 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ???????????: | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Cutoffs: | WHO Asia |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2002
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 247464 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size was taken from a different source, number of participants with complete measurements may be smaller |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2015
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 1617 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | International Cut off used, WHO & WGOC also available |
| Cutoffs: | IOTF |
????, 2015
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 29,418 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 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 |
????, 2010
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 215203 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 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 |
????, 2002
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 70508 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
????, 1992
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 70508 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
????, 1982
| ??? ??????: | ???????? |
| ?????????? ?? ???????: | 70508 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
?????????? ?????/???????????? ?? ??????
????, 2018-2019
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 155413 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2018-2019
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 155413 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2015-2017
| ??? ??????: | ???????? |
| ???????: | 20+ |
| ?????????? ?? ???????: | 72824 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ???????????: | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Cutoffs: | WHO Asia |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2012
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 212658 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size extracted from different source, may include particpants with incomplete data |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2012
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 212658 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size extracted from different source, may include particpants with incomplete data |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2009
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2009
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????, 2007-2008
| ??? ??????: | ???????? |
| ???????: | 20+ |
| ?????????? ?? ???????: | 45956 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ???????????: | WHO Asian cutoffs shown for BMI greater than or equal to 25kg/m² to allow comparison with non-Asian cutoffs. |
| Cutoffs: | WHO Asia |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2006
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2006
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2004
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2004
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2002
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 247464 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size extracted from different source, may include particpants with incomplete data |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2002
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ?????????? ?? ???????: | 247464 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Sample size extracted from different source, may include particpants with incomplete data |
| ???????????: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2000
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2000
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1997
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1997
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1993
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1993
| ??? ??????: | ???????? |
| ???????: | 18+ |
| ??????????: | 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 |
| ?????????: | Obesity classified as BMI ≥ 30 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
???????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
????????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
????, 2015
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 1617 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | International Cut off used, WHO & WGOC also available |
| Cutoffs: | IOTF |
????, 2015
| ??? ??????: | ???????? |
| ???????: | 13-17 |
| ?????????? ?? ???????: | 29,418 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 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 |
????, 2015
| ??? ??????: | ???????? |
| ???????: | 7-12 |
| ?????????? ?? ???????: | 29,418 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 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 |
???????, 2014
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 4847 |
| ????????? ????: | Shandong Province (Rural) |
| ??????????: | 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 |
| ?????????: | Prevalence of overweight and obesity in Rural China. IOTF BMI Cut-off points used. |
| Cutoffs: | IOTF |
????????, 2014
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 4847 |
| ????????? ????: | Shandong Province (Rural) |
| ??????????: | 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 |
| ?????????: | Prevalence of overweight and obesity in Rural China. IOTF BMI Cut-off points used. |
| Cutoffs: | IOTF |
???????, 2010
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 215203 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 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 |
????????, 2010
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 215203 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 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 |
????, 1993
| ??? ??????: | ???????? |
| ???????: | 6-9 |
| ?????????? ?? ???????: | Total sample size (6-18yrs old) = 3028 |
| ????????? ????: | ???????????? ? ???????? ?? ???????? ? ????????? ? ????? (CHNS) ???????? ???? ?????????, ????? ?? ?????????? ?????????? ? ?????????? ?????????, ???????????? ????????, ???????? ??????? ? ??????? ??????????. |
| ??????????: | 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 |
| ?????????: | 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
| ?????????? ?? ???????: | 15399 |
| ??????????: | 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 |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 2005
| ?????????? ?? ???????: | 15987 |
| ??????????: | 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. |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 2002
| ?????????? ?? ???????: | 16564 |
| ??????????: | Other: China National Nutrition and Health Survey, 2002 |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 2000
| ?????????? ?? ???????: | 16460 |
| ??????????: | 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. |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 1998
| ?????????? ?? ???????: | 13838 |
| ??????????: | 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. |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 1995
| ?????????? ?? ???????: | 2832 |
| ??????????: | 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. |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 1992
| ?????????? ?? ???????: | 5535 |
| ??????????: | NNS: The dietary and nutritional status of Chinese population: 1992 national nutrition survey. Beijing: Institute of Nutrition and Food Hygiene, 1995 |
| ?????????: | 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. |
| ???????????: | =>+2SD |
0-5 years, 1990
| ?????????? ?? ???????: | 4332 |
| ??????????: | 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. |
| ?????????: | 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. |
| ???????????: | =>+2SD |
?????????? ?????/???????????? ?? ??????? ? ??????
????, 2005
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2005
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1995
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1995
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1985
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 1985
| ??? ??????: | ???????? |
| ???????: | 18 |
| ?????????? ?? ???????: | 30447 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
?????????? ?????/???????????? ?? ????????-???????????? ?????
?????????, 2015
| ??? ??????: | ???????? |
| ???????: | 18-59 |
| ?????????? ?? ???????: | 6602 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 3699 men and 2903 women |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| ???????????: | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
???????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| ???????????: | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
????????, 2019
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 212,713 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | 106,703 boys, 106,010 girls. Only includes Han ethnicity |
| ???????????: | Regional socioeconomic status defined using the value added of the primary sector as a percentage of GDP |
| Cutoffs: | WHO 2007 |
????, 2014
| ??? ??????: | ???????? |
| ???????: | 5-12 |
| ?????????? ?? ???????: | 9917 |
| ????????? ????: | Regional - Guangzhou (urban setting) |
| ??????????: | 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. |
| ?????????: | 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 |
????, 2004
| ??? ??????: | ???????? |
| ???????: | 6-17 |
| ?????????? ?? ???????: | 1566 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
????, 1993
| ??? ??????: | ???????? |
| ???????: | 6-9 |
| ?????????? ?? ???????: | Total sample size (6-18yrs old) = 3028 |
| ????????? ????: | ???????????? ? ???????? ?? ???????? ? ????????? ? ????? (CHNS) ???????? ???? ?????????, ????? ?? ?????????? ?????????? ? ?????????? ?????????, ???????????? ????????, ???????? ??????? ? ??????? ??????????. |
| ??????????: | 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 |
| ?????????: | 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 |
?????????? ?????/???????????? ?? ????????? ?????????????
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.
?????????, 2014-2015
| ??? ??????: | ???????? |
| ???????: | 40+ |
| ?????????? ?? ???????: | 726,390 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Data from China National Stroke Screening and Prevention Project Study (CNSSPP) |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014-2018
| ??? ??????: | ???????? |
| ???????: | 35+ |
| ?????????? ?? ???????: | 2,644,721 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Chinese Cutoffs applied. 1,574,421 women, 1,070,300 men |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014-2018
| ??? ??????: | ???????? |
| ???????: | 35+ |
| ?????????? ?? ???????: | 2,644,721 |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ?????????: | Chinese Cutoffs applied. 1,574,421 women, 1,070,300 men |
| Cutoffs: | Overweight BMI ≥24-<28 Kg/m² Obesity BMI ≥ 28 Kg/m² |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2014
| ??? ??????: | ???????? |
| ???????: | 7-18 |
| ?????????? ?? ???????: | 80,821 |
| ????????? ????: | ?????????? |
| ??????????: | 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. |
| ?????????: | 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
?????????, 2022
| ??? ??????: | ???????? |
| ???????: | 20+ |
| ??????????: | 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. |
| ?????????: | Age Standardised estimates |
| ???????????: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
????, 2022
| ??? ??????: | ???????? |
| ???????: | 5-19 |
| ??????????: | 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. |
| ?????????: | Age standardised estimates |
| ???????????: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2013
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | 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] |
| ?????????: | China National Nutrition and Health Survey, 2013 |
| ???????????: | 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
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | 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] |
| ?????????: | 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 |
| ???????????: | 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
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | 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] |
| ?????????: | 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. |
| ???????????: | 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
| ??? ??????: | ???????? |
| ???????: | 0-5 |
| ??????????: | 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] |
| ?????????: | 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. |
| ???????????: | 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 |
???????????? ????????? ?????????
?????????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | 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)-(-) |
| ???????????: | 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. |
????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | 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)-(-) |
| ???????????: | 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. |
????, 2022
| ??? ??????: | ???????????? |
| ???????: | 18+ |
| ????????? ????: | ?????????? |
| ??????????: | 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)-(-) |
| ???????????: | 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. |
?????????, 2016
| ??????????: | 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 |
????, 2016
| ??????????: | 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 |
????, 2016
| ??????????: | 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 |
????, 2016
| ??? ??????: | ???????????? |
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
???????, 2016
| ??? ??????: | ???????????? |
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2016
| ??? ??????: | ???????????? |
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
????, 2010
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
???????, 2010
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
????????, 2010
| ???????: | 11-17 |
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| ?????????: | % 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. |
| ???????????: | % Adolescents insufficiently active (age standardised estimate) |
Estimated per capita fruit intake
?????????, 2017
| ???????: | 25+ |
| ????????? ????: | ?????????? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
?????????, 2017
| ???????: | 25+ |
| ????????? ????: | ?????????? |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
?????????, 2017
| ??? ??????: | ???????? |
| ???????: | 25+ |
| ??????????: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| ???????????: | Estimated per-capita whole grains intake (g/day) |
???????? ?????? ?????????? ????????????
?????????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
????, 2021
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depression per 100,000 population (adults 20+ years) |
?????????, 2015
| ??????????: | 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. |
| ???????????: | % of population with depression disorders |
????, 2021
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
???????, 2021
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
????????, 2021
| ????????? ????: | ?????????? |
| ??????????: | 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) |
| ???????????: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
???????? ?????? ???????? ????????????
?????????, 2021
| ???????: | 20+ |
| ??????????: | 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). |
| ???????????: | Number living with anxiety per 100,000 population |
????, 2021
| ???????: | 20+ |
| ??????????: | 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). |
| ???????????: | Number living with anxiety per 100,000 population |
????, 2021
| ???????: | 20+ |
| ??????????: | 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). |
| ???????????: | Number living with anxiety per 100,000 population |
?????????, 2015
| ??????????: | 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. |
| ???????????: | % of population with anxiety disorders |
????, 2021
| ??????????: | 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) |
???????, 2021
| ??????????: | 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) |
????????, 2021
| ??????????: | 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) |
% ??????, ??????? ???????????? ? ????? 0-5 ??????
0-5 years, 2007-2023
| ??????????: | China Nutrition and Health Surveillance of Children and Lactating Women 2016–2017 |
| ?????????: | 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
?????????, 2024
| ????????? ????: | ?????????? |
| ??????????: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| ?????????: | The percent of the population whose food budget is below the cost of a healthy diet. |
?????????, 2022
| ????????? ????: | ?????????? |
| ??????????: | 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. |
??? ?? ????????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2022
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
???????????? ???
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ??????? ?????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ?????????
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
??? ?? ???????
????, 2022
| ???????: | 20+ |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2020
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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 |
| ???????????: | Age-standardized indicence rates per 100 000 |
???????? ?????? ????????
?????????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
????, 2015
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| ???????????: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
??????? ??????????
?????????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
????, 2008
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| ???????????: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
???????? ?????? ????? ?? ??????
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????, 2014
| ??????????: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| ???????????: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
????????????? ?? ???????
?????????, 2024
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
?????????, 2021
| ???????: | 20-79 |
| ????????? ????: | ?????????? |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| ???????????: | Age-adjusted comparative prevalence of diabetes, % |
?????????, 2019
| ???????: | 20-79 |
| ??????????: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
?????????, 2017
| ??????????: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| ???????????: | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
????, 2022
| ???????: | 20+ |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
Leukemia
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Liver and intrahepatic bile duct Cancer
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
Multiple Myeloma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Indicence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Non Hodgkin Lymphoma
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
| ????? ??? ?? ? ???????? ?????, ???????????? ????? ?? ?????? ?? ??? ????? 25kg ? 29,9kg/m, ?????????????? ?? ?????? ?? ???, ??-????? ?? 30kg/m. | |
Thyroid Cancer
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | Incidence per 100,000 |
????, 2022
| ???????: | 20+ |
| ????????? ????: | ?????????? |
| ??????????: | 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] |
| ???????????: | 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