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Prevalence of depression in soldiers of Iranian military centers: A meta-analysis
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Masoud Mohammadi *   , Aliakbar Vaisi-Raygani , Rostam Jalali , Akram Ghobadi , Nader Salalri |
| Department of Nursing, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran , masoud.mohammadi1989@yahoo.com |
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Abstract: (2267 Views) |
Background: Depression is one of the common problems in military forces that causes a severe disability. Therefore, because of the importance of the issue and the inconsistency of the results of previous studies, this research was aimed to perform a systematic and meta-analytic review of the prevalence of depression among soldiers.
Materials and methods: A meta-analysis was carried out using researches published between 2001 and 2017. The related articles were obtained through research databases. Heterogeneity of the study was tested using I2 index, and data were analyzed using the Comprehensive Meta-analysis (CMA) software.
Results: The overall prevalence of depression among Iranian soldiers was 50% (95% CI: 31.8%-68.1%). The highest prevalence of depression was recorded among 80% of NAHAJA soldiers (95% Cl: 71%-86.7%), and the lowest prevalence was reported among 15.9% of a garrison located in Tehran City (95% Cl:11.8%-21%). To investigate the potential effective factors on heterogeneity in the prevalence of depression among Iranian soldiers, meta-regression of sample size and year of the study was used. The only significant difference in this study was related to the sample size increase, resulting in a reduction of prevalence of depression in these soldiers.
Conclusion: In the current study, the prevalence of depression in soldiers is very high. As a result, it is necessary for state and military authorities to take effective measures to improve the mental health of the soldiers. |
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| Keywords: Depression, Soldiers, Military, Meta-Analysis |
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Full-Text [PDF 419 kb]
(905 Downloads)
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Type of Study: Brief Report |
Subject:
Military Psychiatry
Received: 2018/12/24 | Accepted: 2020/09/16 | Published: 2019/12/31
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