ArticleInternational journal of environmental research and public health2025
Predicting the Deviation from the Standard Study Period and Dropout Intentions Through Depression Severity and Social Integration Among University Students in Germany: A Longitudinal Analysis.
Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Sociodemographic, academic, and health-related factors associated with antidepressant use among university and higher education students: a scoping review.Social psychiatry and psychiatric epidemiology · 2026Review
- Eating disorders symptoms and associated risk factors among medical students in France: a nationwide cross-sectional study.Journal of eating disorders · 2025Article
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Authors and funding
2 authors.
Funding
Abstract
Mental health problems among university students have become a growing concern for higher education institutions. Students experiencing mental health issues, with depression being the most prevalent disorder, tend to take longer to graduate and have a higher risk of dropping out of university. This study examines the predictive values of depression severity (Patient Health Questionnaire Depression-PHQ-9), use of psychosocial counseling, and social integration on the deviation from the standard study period and dropout intentions. A total of 3300 students at the University of Kassel, Germany were surveyed at baseline in March 2022; 1744 students provided an email address and gave permission to contact them individually for the follow-up survey in March 2023. After eliminating dropouts and questionnaires with a lot of missing values, the final sample consisted of 500 students who participated at both time points. Longitudinal data were used for descriptive, correlational, and multiple linear regression analyses. Multiple linear regression analyses revealed a significant adverse predictive value of the PHQ-9 (β = -0.082;
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