The prevalence of metabolic syndrome in drivers: A meta-analysis and systematic review

Author:

Soltaninejad Mohammadreza12,Yarmohammadi Hamed3,Madrese Elham4,Khaleghi Saeed5,Poursadeqiyan Mohsen67,Aminizadeh Mohsen89,Saberinia Amin10

Affiliation:

1. Department of Clinical Psychology and Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran

2. Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran

3. Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran

4. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

5. Department of Nursing, Alborz University of Medical Sciences, Karaj, Iran

6. Department of Occupational Health Engineering, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran

7. Health Sciences Research Center, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran

8. Health in Emergency and Disaster Research Center, Kerman University of Medical Sciences, Kerman, Iran

9. Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

10. Department of Emergency Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Abstract

BACKGROUND: Metabolic syndrome is an increasing disorder, especially in night workers. Drivers are considered to work during 24 hours a day. Because of job characteristics such as stress, low mobility and long working hours, they are at risk of a metabolic syndrome disorder. OBJECTIVES: The purpose of this study is a meta-analysis and systematic review of the prevalence of metabolic syndrome in drivers. METHODS: In this systematic review, articles were extracted from national and international databases: Scientific Information Database (SID), Iran Medex, Mag Iran, Google Scholar, Science Direct, PubMed, ProQuest, and Scopus. Data analysis was performed using meta-analysis and systematic review (random effect model). The calculation of heterogeneity was carried out using the I2 index and Cochran’s Q test. All statistical analyses were performed using STATA software version 11. RESULTS: A total of nine articles related to the prevalence of metabolic syndrome in drivers in different regions of the world from 2008 to 2016 were obtained. The total sample size studied was 26156 with an average of 2906 samples per study. The prevalence of metabolic syndrome in drivers was 34% (95% CI: 30–37) CONCLUSIONS: According to the results of this study, the prevalence of metabolic syndrome in drivers is high. Occupational stress, unhealthy diet and physical inactivity cannot be cited as causes of metabolic syndrome prevalence in drivers. Therefore, to maintain and to improve the health of this group, the implementation of preventive, therapeutic and rehabilitation measures for these people as well as training should be considered.

Publisher

IOS Press

Subject

Public Health, Environmental and Occupational Health,Rehabilitation

Reference32 articles.

1. Review of epidemiology of metabolic syndrome in Iran;Alizade;Iranian Journal of Diabetes and Metabolism,2017

2. [Metabolic syndrome prevalence in 3-9 years old children: Tehran Glucose and Lipid Study (Persian)];Mehrdad;Research in Medicine,2006

3. The prevalence of the metabolic syndrome among Arab Americans;Jaber;Diabetes Care,2004

4. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities’ study;McNeill;Diabetes Care,2005

5. Prevalence of the metabolic syndrome using the modified ATP III definitions for workers in Japan, Korea and Mongolia;Shiwaku;Journal of Occupational Health,2005

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