Evidence map›Paper›PMID 34217401›Full record

ArticleLancet (London, England)2021

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

Limin Wang, Bin Zhou, Zhenping Zhao, Ling Yang, Mei Zhang, Yong Jiang, Yichong Li, Maigeng Zhou, Linhong Wang, Zhengjing Huang and 9 more

3 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Lancet (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 350 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
350citing papers in PubMed, 3 pooled it
78.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05864911 nacompletednot on this map

Efficacy and Safety of the Gastric Bypass Stent System on Body Weight and Metabolic Parameters in Obese Patients

TypeinterventionalSponsorBeijing Friendship HospitalRan2021 to 2022Enrolled14ConditionsObesityArmsthe Gastric Bypass Stent System
NCT06817512 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Health Effects of Vitamin K2 Supplementation on Skeletal Muscle and Neurological Function After Ischemic Stroke

TypeinterventionalSponsorHarbin Medical UniversityRan2025 to 2028Enrolled190ConditionsIschemic StrokeArmsVitamin K2, Placebo
NCT07163455 naactive not recruitingnot on this mapstarted 2026, after this paper: background citation

Time-Restricted Eating (10-Hour Window) for Weight-Loss Maintenance in Adults With Recent Intentional Weight Loss: A Multicenter, 12-Month Randomized Controlled Trial

TypeinterventionalSponsorHarbin Medical UniversityRan2026 to 2028Enrolled500ConditionsOverweight or Obese AdultsArmsScheduled Weight Maintenance Nutrition Education, Time-Restricted Eating (10-Hour Window)
3 · Its place in the literature

Who cites it

350 citing papers in PubMed, 3 syntheses or guidelines pooled it, 556 citations in OpenAlex.

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290 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 7 institutions in 2 countries.

Limin WangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Bin ZhouMRC 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.
Zhenping ZhaoNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Mei ZhangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yong JiangNational Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yichong LiFuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
Maigeng ZhouNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Linhong WangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhengjing HuangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiao ZhangNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Liyun ZhaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Dongmei YuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Chun LiNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Majid EzzatiMRC 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.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jing WuNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: wujing@chinacdc.cn.
Gangqiang DingNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: dinggq@chinacdc.cn.
Xinhua LiNational Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; People's Medical Publishing House, Beijing, China. Electronic address: jianceshi@ncncd.chinacdc.cn.
National Center for Chronic and Noncommunicable Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNImperial College London · GBUniversity of Oxford · GBCapital Medical University · CNChina Machine Press · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Cancer Research UK 16896Cancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 209376Wellcome Trust 209376/Z/17/ZWellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

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.

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/m

findingsStandardised mean BMI levels rose from 22·7 kg/m

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.

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.

Indexed as

Body Mass IndexAdolescentAdultAgedChinaFemaleHealth SurveysHumansMaleMiddle AgedObesityRisk FactorsRural PopulationUrban PopulationYoung Adult

Identifiers

PMID34217401
PMCPMC7617101
OpenAlexW3173768576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.