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Open Access 01-12-2021 | Research

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

Authors: Abbas Abbasi-Ghahramanloo, Mohammadkarim Bahadori, Esfandiar Azad, Nooredin Dopeykar, Parisa Mahdizadeh, Amir Vahedian Azimi, Hossein Amini

Published in: BMC Psychiatry | Issue 1/2021

Abstract

Introduction

Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class.

Methods

This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90.

Results

Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class.

Conclusion

This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

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Title: Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership
Authors: Abbas Abbasi-Ghahramanloo
Mohammadkarim Bahadori
Esfandiar Azad
Nooredin Dopeykar
Parisa Mahdizadeh
Amir Vahedian Azimi
Hossein Amini
Publication date: 01-12-2021
Publisher: BioMed Central
Published in: BMC Psychiatry / Issue 1/2021
Electronic ISSN: 1471-244X
DOI: https://doi.org/10.1186/s12888-021-03537-z

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

Abstract

Introduction

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Introduction

Methods

Results

Conclusion

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