Association between exposure to Occupational hazard factors and multimorbidity in steelworkers: A Cross-Sectional Study

Author:

Lu Haipeng1,Xu Xianghui2,Hu Jiaqi3,Zhao Zekun1,Si Zhikang1,Wang Xuelin1,Wang Hui1,Meng Rui1,Wang Huan1,Zheng Yizhan1,Chen Jiaqi1,Wu Jianhui1,Xue Ling1,Jing Liwei4,Li Xiaoming1

Affiliation:

1. School of Public Health, North China University of Science and Technology

2. North China University of Science and Technology Hospital

3. North China University of Science and Technology

4. Capital Medical University

Abstract

AbstractMultimorbidity is a huge public health issue that affects people's health significantly on a global scale. Many chronic diseases have been linked to exposure to workplace dangers. The goal of this study was to comprehend the existing degree of multimorbidity among steel workers, the connection between cumulative occupational hazard exposure and multimorbidity, and to build the groundwork for the creation of preventative and control strategies for multimorbidity among steelworkers. This cross-sectional study included 3577 steel workers who had occupational health examinations in 2017. The relationship between occupational risks and the prevalence of multimorbidity in steel workers was examined using multiple logistic regression. We discovered that the rate of multimorbidity was 61.3%. The risk of multimorbidity among employees exposed to high levels of shift work, heat, noise, and dust was 1.520 (95% CI: 1.147 to 2.014), 3.376 (95% CI: 2.583 to 4.413), 2.069 (95% CI: 1.653 to 2.590), and 1.509 (95% CI: 1.1262.023) respectively in a multifactorial logistic regression analysis. Steelworkers need stronger protection against each occupational hazard since multimorbidity is highly common within the steel sector as a whole and is made more likely by occupational hazard exposure.

Publisher

Research Square Platform LLC

Reference66 articles.

1. Sun, Zhijia et al. Analysis of the epidemiological characteristics of multimorbidity among adults in 10 regions of China. Chinese Journal of Epidemiology, 2021. 42(05): pp. 755–762.Author 1, A.; Author 2, B. Title of the chapter. In Book Title, 2nd ed.; Editor 1, A., Editor 2, B., Eds.; Publisher: Publisher Location, Country, 2007; Volume 3, pp. 154–196.

2. Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007–2016;Kim J;J Glob Health,2020

3. Trends in prevalence and incidence of registered dementia and trends in multimorbidity among patients with dementia in general practice in Flanders, Belgium, 2000–2021: a registry-based, retrospective, longitudinal cohort study;Beerten SG;BMJ Open,2022

4. Trends in obesity and multimorbidity in Canada;Lebenbaum M;Prev Med,2018

5. A retrospective analysis of common chronic diseases and multimorbidity in a hospital in Hainan Province from 2009–2018 among the medical check-up population;Zhai;Strait J Prev Med,2022

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