Understanding suicidal ideation in southeastern Iran: a cross-sectional analysis of demographic and socioeconomic correlates

In this population-based cross-sectional survey, 5.9% of participants endorsed suicidal ideation. After adjustment, being married and higher educational attainment were associated with lower BSSI scores, whereas gender, age, residence, and employment showed no independent associations. The model's limited explanatory power (R<sup>2</sup> = 0.028) indicates that demographic variables alone have limited value for risk stratification; confidential, stigma-sensitive screening and linkage in primary care, universities, and employment-related settings may be informative for service planning. Future studies should incorporate psychological and social measures and consider multilevel or longitudinal designs to better characterize correlates; given the cross-sectional design, no causal inferences are implied.

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Publication Details

Journal
BMC Psychology
Published
2025-10-15
DOI
https://doi.org/10.1186/s40359-025-03450-0
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding suicidal ideation in southeastern Iran: a cross-sectional analysis of demographic and socioeconomic correlates

Rashed Pourhamidi, Saeid Mirzaei, Sajad Khosravi, Nadia Oroomiei et al.
BMC Psychology
Suicide and Self-Harm Studies
article

Understanding suicidal ideation in southeastern Iran: a cross-sectional analysis of demographic and socioeconomic correlates

Rashed Pourhamidi, Saeid Mirzaei, Sajad Khosravi, Nadia Oroomiei, Mahdi Ahmadi, Ayda Nasrizadeh
article en

Abstract

In this population-based cross-sectional survey, 5.9% of participants endorsed suicidal ideation. After adjustment, being married and higher educational attainment were associated with lower BSSI scores, whereas gender, age, residence, and employment showed no independent associations. The model's limited explanatory power (R<sup>2</sup> = 0.028) indicates that demographic variables alone have limited value for risk stratification; confidential, stigma-sensitive screening and linkage in primary care, universities, and employment-related settings may be informative for service planning. Future studies should incorporate psychological and social measures and consider multilevel or longitudinal designs to better characterize correlates; given the cross-sectional design, no causal inferences are implied.

BMC PsychologyVol. 13(1)
Bam University of Medical Sciences (IR)
Openalex Percentile: Top 59%
Suicide and Self-Harm Studies
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