Repository of Research and Investigative Information

Repository of Research and Investigative Information

Torbat Heydariyeh University of Medical Sciences

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

(2020) The prevalence of metabolic syndrome in drivers: A meta-analysis and systematic review. Work (Reading, Mass.). ISSN 1875-9270 (Electronic) 1051-9815 (Linking)

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Official URL: http://www.ncbi.nlm.nih.gov/pubmed/33325431

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.

Item Type: Article
Keywords: Metabolic syndrome, driver, meta-analysis, systematic review
Journal or Publication Title: Work (Reading, Mass.)
Journal Index: Pubmed
Identification Number: https://doi.org/10.3233/WOR-203335
ISSN: 1875-9270 (Electronic) 1051-9815 (Linking)
Depositing User: پریسا مرادی
URI: http://eprints.thums.ac.ir/id/eprint/2819

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