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Obesogenic environmental factors of adult obesity in China

A nationally representative cross-sectional study

Dados Bibliográficos

ID15548643
AutoresXiao Zhang (0000-0002-0342-3282, National Center for Chronic and Noncommunicable Disease Control and Prevention), Mei Zhang (0000-0001-9803-0205, National Center for Chronic and Noncommunicable Disease Control and Prevention), Zhenping Zhao (0000-0003-4227-3034, National Center for Chronic and Noncommunicable Disease Control and Prevention), Zhengjing Huang (National Center for Chronic and Noncommunicable Disease Control and Prevention), Qian Deng (0000-0002-7732-1609, National Center for Chronic and Noncommunicable Disease Control and Prevention), Li Y (0000-0003-3842-475X, National Center for Chronic and Noncommunicable Disease Control and Prevention, autor correspondente), An Pan (0000-0002-1089-7945, Huazhong University of Science and Technology, autor correspondente), Chun Li (0000-0001-7981-7184, National Center for Chronic and Noncommunicable Disease Control and Prevention, autor correspondente), Zhihua Chen (0009-0008-2812-6648, National Center for Chronic and Noncommunicable Disease Control and Prevention), Maigeng Zhou (0000-0001-6402-6347, National Center for Chronic and Noncommunicable Disease Control and Prevention), Chao Yu (0009-0008-3780-7701, Institute of Remote Sensing and Digital Earth), Alfred Stein (0000-0002-9456-1233, University of Twente), Peng Jia (0000-0003-0110-3637, Hong Kong Polytechnic University, autor correspondente), Limin Wang (0000-0001-9618-9239, National Center for Chronic and Noncommunicable Disease Control and Prevention, autor correspondente)
Ano2019
Volume15
Fascículo4
Páginas044009-044009
Data de publicação2019-12-30
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab6614
OpenAlexW2998283056
IdiomaEN
Citações recebidas8
Referências citadas5

The prevalence of obesity is still rising among Chinese adults and may be attributed to environmental factors, which, however, has only been examined in western countries before. This study aimed to estimate associations between obesogenic environments and adult obesity in China, on the basis of the official 2013-4 nationally representative survey. General and abdominal obesity were defined by body mass index and waist circumference, respectively, according to both the Chinese and international criteria. The mean summer/winter temperature in provinces, the mean fine particulate matter (PM 2.5 ) concentration, gross domestic product per capita, and education level in districts/counties, and the densities of fast-food restaurants, full-service restaurants, grocery stores, and supermarkets in subdistricts/towns were calculated. Five-level logistic regression models were used to estimate their associations with obesity, also in urban and rural regions separately. Both general and abdominal obesity in men were associated with the highest PM 2.5 concentration, summer temperature, and density of full-service restaurants and grocery stores, as well as the lowest winter temperature. These associations were also observed in women except for summer temperature and density of full-service restaurants with abdominal obesity. Some associations varied by urban-rural regions. Also, the higher regional education level was associated with general and abdominal obesity in men. Additionally, obesity was associated with the increasing number of coexisting obesogenic environmental factors. Our findings call for more attention to citizens living in certain environments in China, such as cold winters and with more full-service restaurants and grocery stores. This is the first national, comprehensive obesogenic environment study in China, which generated evidence-based hypotheses for future longitudinal research and interventions on obesogenic environments in China

Abdominal obesity · Body mass index · China · Cross-sectional study · Environmental health · Geography · Logistic regression · Obesity · Per capita · Population · Socioeconomics · Waist · Climate Change and Health Impacts · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Demography

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Obras citantes distintas8
Citações por ano1,6
Intervalo de citações2021 - 2025 (5)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 8
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