Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

Author:

Kong De-Xian1,Su Xiao-feng2,Zhao Jing-wei3,Chen Lian4,Meng Ling-bing4,Zhang Zhen-xi5,Yang Sen5,Zhang Lei6,Liu Ya-bin7ORCID

Affiliation:

1. Department of Endocrinology and Metabolism, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, China

2. Department of Microbiology and Center of Infectious Diseases, Peking University Health Science Center, Beijing, China

3. Postgraduate Training Base in The Third Medical Center of Chinese PLA General Hospital, Jinzhou Medical University, Jinzhou, Liaoning, China

4. School of Basic Medicine, Hebei Medical University, Shijiazhuang, Hebei, China

5. Department of General Surgery, Peoples Hospital of Linxi County, Xingtai, Hebei, China

6. Department of General Surgery, Central Hospital of Xingtai County, Hebei, China

7. Department of General Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, China

Abstract

Objective The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obese, to explore the relationships between various relevant factors and overweight/obesity, and to identify preventive efforts for high-risk populations. Methods We administered a questionnaire survey among a group of 536 social workers in Shijiazhuang City in 2017. We used the Pearson chi-square test, Spearman’s rho test, multivariate linear regression, univariate and multivariate logistic regression, and receiver operating characteristic curve analysis to investigate factors that influence overweight/obesity. Results The prevalence of overweight/obesity was 13.7% among the study participants. Urban residence, eating speed, number of daily meals, overeating, and a high-fat diet were associated with overweight/obesity. In multivariate linear regression analysis, overweight/obesity was correlated with sex, urban residence, eating speed, number of daily meals, and a high-fat diet. Conclusion Among all influencing factors, dietary factors, place of residence, and sex were most closely related to being overweight/obese. Furthermore, living in an urban area and male sex were independent risk factors for being overweight/obese.

Funder

Youth Science and technology project of health and Health Commission of Hebei Province

Publisher

SAGE Publications

Subject

Biochemistry (medical),Cell Biology,Biochemistry,General Medicine

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