Prevalence and Predictors of Depression and Anxiety Among Pharmacy Students: Evidence from a Cross-Sectional Analysis

Authors

DOI:

https://doi.org/10.26629/uzjms.2025.06

Keywords:

Anxiety; Depression; Libya; Pharmacy Students.

Abstract

Background: This study aimed to assess the prevalence of depressive and anxiety symptoms and identify associated factors among undergraduate pharmacy students at a university in Zawia, Libya.

Materials and Methods: A cross-sectional study was conducted between April and May 2025 among 342 pharmacy students. Depressive and anxiety symptoms were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder-7 (GAD-7) scales, respectively. Sociodemographic, academic, and lifestyle data were collected. Associations were analyzed using non-parametric tests, Spearman’s correlation, and multiple linear regression.

Results: The prevalence of moderate-to-severe depressive symptoms was 67.0%, while moderate-to-severe anxiety affected 60.6% of participants. Regression analysis identified that better academic performance (β = -0.805; P = 0.008), engagement in physical activity (β = -1.438; P = 0.048), and better sleep quality (β = -1.846; P <0.001) were significant independent predictors of lower depression scores, explaining 20.9% of the variance. For anxiety, sleep quality was the only significant predictor in the regression model (β = -1.399; P <0.001), explaining 17.5% of the variance.

Conclusions: Depression and anxiety are highly prevalent among pharmacy students in Libya, sleep quality was a key modifiable predictor for both conditions. Interventions focused on improving sleep hygiene, promoting physical activity, and providing academic support could help mitigate psychological distress in this population.

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Published

2025-12-31

How to Cite

[1]
H. A. Smeda, A.-Z. A. Hamouda, S. A. Alsaid, and Z. E. Sarkez, “Prevalence and Predictors of Depression and Anxiety Among Pharmacy Students: Evidence from a Cross-Sectional Analysis”, Univ Zawia J Med Sci, vol. 1, no. 2, pp. 38–48, Dec. 2025.