Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh

Integrating machine learning with conventional analyses enhances the identification and prediction of factors associated with depression, anxiety, and stress among university students. These findings support the implementation of campus-based mental health screening, accessible counseling, and peer support programs, and highlight the value of data-driven approaches for developing targeted university mental health policies.

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Publication Details

Journal
Journal of Health Population and Nutrition
Published
2025-10-14
DOI
https://doi.org/10.1186/s41043-025-01095-8
Citations
3
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
6.92

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article

Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh

Moses Muwanguzi, Mark Mohan Kaggwa, Firoj Al‐Mamun, Paweł A. Atroszko et al.
3 citations
Journal of Health Population and Nutrition
COVID-19 and Mental Health
6.92
article

Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh

Moses Muwanguzi, Mark Mohan Kaggwa, Firoj Al‐Mamun, Paweł A. Atroszko, Mohammed A. Mamun, Joan Abaatyo, Moneerah Mohammad ALmerab, Mohammad Muhit, Mohammad Arif, Md Emran Hasan, Syed Nazmul Hasan
article en
3 citations

Abstract

Integrating machine learning with conventional analyses enhances the identification and prediction of factors associated with depression, anxiety, and stress among university students. These findings support the implementation of campus-based mental health screening, accessible counseling, and peer support programs, and highlight the value of data-driven approaches for developing targeted university mental health policies.

Journal of Health Population and NutritionVol. 44(1)
Princess Nourah bint Abdulrahman University (SA), Mbarara University of Science and Technology (UG), University of Dhaka (BD), Gujarat Ayurved University (IN), St. Augustine International University (UG), University of South Asia (BD), Nanjing University of Science and Technology (CN), University of Gdańsk (PL), Save the Children (BD), Jahangirnagar University (BD), Uganda Christian University (UG), McMaster University (CA)
Patuakhali Science and Technology University
Openalex Percentile: Top 3%
COVID-19 and Mental Health
6.92
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