The prevalence and modifiable lifestyle factors of central obesity among white-collar workers of different genders: A cross-sectional study

Author:

Xiaoqian Dong1,Li Ying1,Li Jie1,Duan Yinglong1,Wang Sha1,Kang Yue1,Luo Yating1,Wang Jiangang1,Chen Zhiheng1,Huang Dawei1

Affiliation:

1. Central South University

Abstract

Abstract Background: Central obesity is strongly associated with obesity-related and metabolic diseases, which is a common health problem in sedentary adults, particularly in women, but the mechanisms remain unclear. This study aimed to investigate the prevalence and factors associated with central obesity in white-collar workers Chinese population, and explore potential sex differences. Methods: A cross-sectional study was conducted between 2017 and 2019 at two large general hospitals in northern and southern China. Totally 6,081 white-collar workers underwent a physical examination and completed an online health self-report questionnaire, which included demographic variables, lifestyle factors and blood lipid test. Multilevel logistic regression analysis was performed to assess the prevalence and factors of central obesity. Results: A total of 4,973 male and 1,108 female white-collar workers were included in this study, and the incidence of central obesity was 67.5% and 30.1%, respectively. In male white-collar workers, increasing age, chronic disease, higher levels of total cholesterol, salt intake and BEE, social engagement, eating spicy food and animal offal were risk factors for central obesity, while a higher HDL-C level, eating fish, and high vegetable intake were protective factors. In female white-collar workers, increasing age, higher total cholesterol level, higher BEE, and overeating were risk factors for central obesity, while a higher HDL-C level, and drinking milk were protective factors. Conclusions: Central obesity was a significant public health concern and the prevalence was high in Chinese adults. Healthy lifestyles and dietary measures to control the rates of central obesity should be undertaken to circumvent the growing disease burden in Chinese people..

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3