# Exploring the diversity and determinants of various depression symptoms in youth: analysis based on the living environments of university students

**Authors:** Jinting Wu, Yumei Zhou, Xing Hu, Hairong Liu

PMC · DOI: 10.3389/fpsyt.2025.1672561 · Frontiers in Psychiatry · 2026-01-14

## TL;DR

This study explores how factors like lifestyle, academics, and family background affect depression in Chinese university students.

## Contribution

The study identifies specific risk and protective factors for depression in university students using a multidimensional approach.

## Key findings

- 25.60% of students showed depression symptoms, with 9.97% in subthreshold depression.
- Male gender, senior year, low family income, and major dissatisfaction were significant risk factors.
- Regular exercise was a protective factor, while smartphone overuse and family mental illness history increased risk.

## Abstract

This study aimed to investigate the prevalence and determinants of depression and subthreshold depression among Chinese university students, with a focus on the influence of demographic, behavioral, and academic factors.

A cross-sectional survey was conducted among 3,600 undergraduates from five universities in central China using the CES-D scale and a self-designed lifestyle questionnaire. Multivariate logistic regression and ANOVA were employed to identify risk and protective factors.

The overall depression detection rate was 25.60%, with 9.97% classified as subthreshold depression. Male gender, senior year, low family income, and major dissatisfaction were significant risk factors. Regular exercise served as a protective factor, while excessive smartphone use, smoking, alcohol use, and family history of mental illness were associated with increased risk. A dose-response relationship was observed between major satisfaction and depression severity.

The findings support a spectrum-based view of depression and highlight the need for multidimensional, personalized mental health interventions targeting high-risk student subgroups.

## Linked entities

- **Diseases:** depression (MONDO:0002050)

## Full-text entities

- **Diseases:** depression (MESH:D003866), mental illness (MESH:D001523)
- **Chemicals:** alcohol (MESH:D000438)

## Full text

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12848925/full.md

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Source: https://tomesphere.com/paper/PMC12848925