Body-mass index and obesity in urban and rural China: findings from consecutive nationally representative surveys during 2004–18

In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed a...

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Published in:	The Lancet (British edition) Vol. 398; no. 10294; pp. 53 - 63
Main Authors:	Wang, Limin, Zhou, Bin, Zhao, Zhenping, Yang, Ling, Zhang, Mei, Jiang, Yong, Li, Yichong, Zhou, Maigeng, Wang, Linhong, Huang, Zhengjing, Zhang, Xiao, Zhao, Liyun, Yu, Dongmei, Li, Chun, Ezzati, Majid, Chen, Zhengming, Wu, Jing, Ding, Gangqiang, Li, Xinhua
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 03.07.2021 Elsevier B.V Elsevier Limited
Subjects:	Adolescent Adult Adults Aged Body Mass Index China - epidemiology Chronic illnesses Disease control Disease prevention Education Female Health risks Health Surveys Humans Infectious diseases Male Men Middle Aged Obesity Obesity - epidemiology Polls & surveys Public health R&D Research & development Risk analysis Risk Factors Risk taking Rural areas Rural Population - statistics & numerical data Sex Socioeconomic factors Socioeconomics Subgroups Surveys Trends Urban areas Urban Population - statistics & numerical data Women Young Adult China
ISSN:	0140-6736, 1474-547X, 1474-547X
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Abstract	In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban–rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18–69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban–rural locality, geographical region, and socioeconomic status. Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5–22·9) in 2004 to 24·4 kg/m2 (24·3–24·6) in 2018 and obesity prevalence from 3·1% (2·5–3·7) to 8·1% (7·6–8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06–0·11), which was half of that reported during 2004–10 (0·17 kg/m2, 95% CI 0·12–0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4–7·6 vs 8·7% annual relative increase, 4·9–12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million–100 million; 48 million men [95% CI 39 million–57 million] and 37 million women [31 million–43 million]) aged 18–69 years in China were obese in 2018, which was three times as many as in 2004. In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
AbstractList	Summary Background In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban–rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. Methods We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18–69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban–rural locality, geographical region, and socioeconomic status. Findings Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5–22·9) in 2004 to 24·4 kg/m2 (24·3–24·6) in 2018 and obesity prevalence from 3·1% (2·5–3·7) to 8·1% (7·6–8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06–0·11), which was half of that reported during 2004–10 (0·17 kg/m2, 95% CI 0·12–0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4–7·6 vs 8·7% annual relative increase, 4·9–12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2 vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2 vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million–100 million; 48 million men [95% CI 39 million–57 million] and 37 million women [31 million–43 million]) aged 18–69 years in China were obese in 2018, which was three times as many as in 2004. Interpretation In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. Funding China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban-rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004.BACKGROUNDIn China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban-rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004.We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18-69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban-rural locality, geographical region, and socioeconomic status.METHODSWe used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18-69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban-rural locality, geographical region, and socioeconomic status.Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5-22·9) in 2004 to 24·4 kg/m2 (24·3-24·6) in 2018 and obesity prevalence from 3·1% (2·5-3·7) to 8·1% (7·6-8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06-0·11), which was half of that reported during 2004-10 (0·17 kg/m2, 95% CI 0·12-0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4-7·6 vs 8·7% annual relative increase, 4·9-12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million-100 million; 48 million men [95% CI 39 million-57 million] and 37 million women [31 million-43 million]) aged 18-69 years in China were obese in 2018, which was three times as many as in 2004.FINDINGSStandardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5-22·9) in 2004 to 24·4 kg/m2 (24·3-24·6) in 2018 and obesity prevalence from 3·1% (2·5-3·7) to 8·1% (7·6-8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06-0·11), which was half of that reported during 2004-10 (0·17 kg/m2, 95% CI 0·12-0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4-7·6 vs 8·7% annual relative increase, 4·9-12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million-100 million; 48 million men [95% CI 39 million-57 million] and 37 million women [31 million-43 million]) aged 18-69 years in China were obese in 2018, which was three times as many as in 2004.In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population.INTERPRETATIONIn China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population.China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.FUNDINGChina National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban–rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18–69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban–rural locality, geographical region, and socioeconomic status. Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5–22·9) in 2004 to 24·4 kg/m2 (24·3–24·6) in 2018 and obesity prevalence from 3·1% (2·5–3·7) to 8·1% (7·6–8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06–0·11), which was half of that reported during 2004–10 (0·17 kg/m2, 95% CI 0·12–0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4–7·6 vs 8·7% annual relative increase, 4·9–12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million–100 million; 48 million men [95% CI 39 million–57 million] and 37 million women [31 million–43 million]) aged 18–69 years in China were obese in 2018, which was three times as many as in 2004. In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban-rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18-69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m ) were calculated and time trends compared by sex, age, urban-rural locality, geographical region, and socioeconomic status. Standardised mean BMI levels rose from 22·7 kg/m (95% CI 22·5-22·9) in 2004 to 24·4 kg/m (24·3-24·6) in 2018 and obesity prevalence from 3·1% (2·5-3·7) to 8·1% (7·6-8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m annually (0·06-0·11), which was half of that reported during 2004-10 (0·17 kg/m , 95% CI 0·12-0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4-7·6 vs 8·7% annual relative increase, 4·9-12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m vs 23·9 kg/m ; p=0·0045), but remained lower in rural than urban men (24·5 kg/m vs 25·1 kg/m ; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million-100 million; 48 million men [95% CI 39 million-57 million] and 37 million women [31 million-43 million]) aged 18-69 years in China were obese in 2018, which was three times as many as in 2004. In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
Audience	Academic
Author	Zhou, Bin Wang, Limin Li, Yichong Zhang, Mei Wang, Linhong Huang, Zhengjing Ezzati, Majid Jiang, Yong Zhang, Xiao Li, Chun Wu, Jing Yu, Dongmei Ding, Gangqiang Li, Xinhua Zhou, Maigeng Zhao, Zhenping Yang, Ling Zhao, Liyun Chen, Zhengming
Author_xml	– sequence: 1 givenname: Limin surname: Wang fullname: Wang, Limin organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 2 givenname: Bin surname: Zhou fullname: Zhou, Bin organization: MRC Centre for Environment and Health & Abdul Latif Jameel Institute for Disease and Emergency Analytics, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK – sequence: 3 givenname: Zhenping surname: Zhao fullname: Zhao, Zhenping organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 4 givenname: Ling surname: Yang fullname: Yang, Ling organization: Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK – sequence: 5 givenname: Mei surname: Zhang fullname: Zhang, Mei organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 6 givenname: Yong surname: Jiang fullname: Jiang, Yong organization: National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China – sequence: 7 givenname: Yichong surname: Li fullname: Li, Yichong organization: Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China – sequence: 8 givenname: Maigeng surname: Zhou fullname: Zhou, Maigeng organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 9 givenname: Linhong surname: Wang fullname: Wang, Linhong organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 10 givenname: Zhengjing surname: Huang fullname: Huang, Zhengjing organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 11 givenname: Xiao surname: Zhang fullname: Zhang, Xiao organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 12 givenname: Liyun surname: Zhao fullname: Zhao, Liyun organization: National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 13 givenname: Dongmei surname: Yu fullname: Yu, Dongmei organization: National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 14 givenname: Chun surname: Li fullname: Li, Chun organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 15 givenname: Majid surname: Ezzati fullname: Ezzati, Majid organization: MRC Centre for Environment and Health & Abdul Latif Jameel Institute for Disease and Emergency Analytics, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK – sequence: 16 givenname: Zhengming surname: Chen fullname: Chen, Zhengming organization: Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK – sequence: 17 givenname: Jing surname: Wu fullname: Wu, Jing email: wujing@chinacdc.cn organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 18 givenname: Gangqiang surname: Ding fullname: Ding, Gangqiang email: dinggq@chinacdc.cn organization: National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China – sequence: 19 givenname: Xinhua surname: Li fullname: Li, Xinhua email: jianceshi@ncncd.chinacdc.cn organization: National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Snippet	In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable... Summary Background In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there...
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SubjectTerms	Adolescent Adult Adults Aged Body Mass Index China - epidemiology Chronic illnesses Disease control Disease prevention Education Female Health risks Health Surveys Humans Infectious diseases Male Men Middle Aged Obesity Obesity - epidemiology Polls & surveys Public health R&D Research & development Risk analysis Risk Factors Risk taking Rural areas Rural Population - statistics & numerical data Sex Socioeconomic factors Socioeconomics Subgroups Surveys Trends Urban areas Urban Population - statistics & numerical data Women Young Adult
Title	Body-mass index and obesity in urban and rural China: findings from consecutive nationally representative surveys during 2004–18
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