Prevalence of Sleep Quality Disorder among Iranian Drivers: A Systematic Review and Meta-Analysis

Authors

  • Reza Tabrizi Health Policy Research Center, Institute of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mahmood Moosazadeh Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
  • Alireza Razzaghi Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Maryam Akbari Health Policy Research Center, Institute of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Seyed Taghi Heydari Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Seyed Habibollah Kavari Faculty Member of Rehabilitation Management Department, School of Rehabilitation, University of Social Welfare and Rehabilitation Sciences,Tehran, Iran.
  • Arash Mani Research Centre of Psychiatry and Behavioral Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Maryam Kazemi Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Kamran Bagheri Lankarani Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

DOI:

https://doi.org/10.5249/jivr.v10i1.993

Keywords:

Sleep quality disorder, Iranian driver, Meta-analysis

Abstract

Background: Sleep Quality Disorder (SQD) plays a major role in road accidents. So, this study was carried out to determine the prevalence of SQD among occupational drivers using systematic review and meta-analysis in Iran.

Methods: All Persian and English articles between January, 2000 and October, 2015 which had reported the SQD prevalence in Iranian drivers by Pittsburgh Sleep Quality Index (PSQI) with cross-sectional design, after the quality evaluation process and achieving the required score, were selected. The heterogenic index of the studies was distinguished by using Cochran (Q) and I2 tests. Based on heterogeneity results, a random effects model was used to estimate pooled prevalence of SQD. Meta-regression was also used to investigate the heterogeneity of suspected factors. 

Results: In total, 936 articles were found from national and international databases. Ten articles entered to meta-analysis process, ultimately. Since heterogeneity index suggested that there is a considerable heterogeneity among the results of primary studies (I-squared = 98.8%, Q= 754.1, p<0.001), the overall estimation of SQD among Iranian drivers was conducted using random-effects model and its rate was estimated to be 53.4% (95% CI: 38.9-67.8).

Conclusion: Our in conclusion, our study demonstrated that more than half of Iranian drivers have SQD. Identifying the drivers with SQD by periodic examinations and providing advice and health care among occupational drivers could be appropriate solutions for decreasing the accident risks.

Author Biography

Seyed Taghi Heydari, Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Health Policy Research
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Published

2018-01-22

How to Cite

Tabrizi, R., Moosazadeh, M., Razzaghi, A., Akbari, M., Heydari, S. T., Kavari, S. H., Mani, A., Kazemi, M., & Lankarani, K. B. (2018). Prevalence of Sleep Quality Disorder among Iranian Drivers: A Systematic Review and Meta-Analysis. Journal of Injury and Violence Research, 10(1). https://doi.org/10.5249/jivr.v10i1.993

Issue

Vol. 10 No. 1 (2018): JANUARY

Section

Review Article

License

Copyright.  In accordance with Bethesda Statement on Open Access Publishing (released June 20, 2003, available from: http://www.earlham.edu/~peters/fos/bethesda.htm), all works published in JIVR are open access and are immediately available to anyone on the website of the journal without cost. JIVR is an open-access journal distributed under the terms of the Creative Commons Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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