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

Article type: Review Article

Authors: Soltaninejad, Mohammadreza^{a; b} | Yarmohammadi, Hamed^{c; *} | Madrese, Elham^d | Khaleghi, Saeed^e | Poursadeqiyan, Mohsen^{f; g} | Aminizadeh, Mohsen^{h; i} | Saberinia, Amin^{j; *}

Affiliations: [a] Department of Clinical Psychology and Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran | [b] Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran | [c] Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran | [d] Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran | [e] Department of Nursing, Alborz University of Medical Sciences, Karaj, Iran | [f] Department of Occupational Health Engineering, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran | [g] Health Sciences Research Center, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran | [h] Health in Emergency and Disaster Research Center, Kerman University of Medical Sciences, Kerman, Iran | [i] Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran | [j] Department of Emergency Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Correspondence: [*] Address for correspondence: Amin Saberinia, Department of Emergency Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. E-mail: amin.saberinia@gmail.com. Hamed Yarmohammadi, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. E-mail: Yarmohammadi68@yahoo.com.

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.

Keywords: Metabolic syndrome, driver, meta-analysis, systematic review

DOI: 10.3233/WOR-203335

Journal: Work, vol. 67, no. 4, pp. 829-835, 2020