ArticleBMC psychiatry2021
Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership.
Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Profiles of risk taking behaviors among hookah smokers and associations with life satisfaction.BMC public health · 2025Article
- Depression symptoms are associated with demographic characteristics, nutritional status, and social support among young adults in Chile: a latent class analysis.BMC public health · 2024Article
- Patterns of Substance Use During Early Pregnancy and Associations With Behavioral Health Characteristics.Journal of addiction medicineObservational
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMental 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.
methodsThis 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.
resultsThree 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.
conclusionThis 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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