# Association of Psychosocial and Health Factors with Long COVID Symptoms in Students in Medicine-Related Departments: A Cross-Sectional Survey

**Authors:** Yu-Hsin Liu, Yi-Hsien Su, Su-Man Chang, Mei-Yu Chang, Wei-Fen Ma

PMC · DOI: 10.3390/healthcare13151855 · Healthcare · 2025-07-30

## TL;DR

This study finds that prior COVID-19 infection, higher anxiety, and higher BMI are linked to long COVID symptoms in medical students.

## Contribution

The study identifies specific psychosocial and health risk factors for long COVID symptoms in a student population.

## Key findings

- 47.5% of students with prior COVID-19 reported long COVID symptoms.
- Higher anxiety and BMI ≥ 24 were significant risk factors for long COVID.
- Sex and exercise habits also influenced symptom prevalence.

## Abstract

Background: As COVID-19 transitions to an endemic phase, long COVID symptoms remain a significant public health issue affecting both physical and mental health. A notable proportion of college students report symptoms such as fatigue, cough, and brain fog persisting for weeks or months post-infection. Objectives: This study explored the prevalence and contributing factors of long COVID symptoms among both infected and uninfected students in medicine-related departments. Methods: A cross-sectional study was conducted using online self-reported questionnaires completed by 1523 undergraduate and graduate students in medicine-related departments at a medical university. Participants who had tested positive for COVID-19 within the past three months were excluded. The survey assessed long COVID symptoms, with comparisons conducted between infected and uninfected groups. Multivariate logistic regression identified risk factors associated with long COVID symptoms. Results: Of the 1118 participants, 47.5% of those with a prior COVID-19 diagnosis reported long COVID symptoms within the past month. Significant differences between the infected and uninfected groups were observed in physical, cognitive, and psychological health. Logistic regression identified that prior COVID-19 diagnosis had an association with the presence of long COVID symptoms (odds ratio = 1.48, p = 0.024) after adjusted model analysis. Meanwhile, higher anxiety levels (odds ratio = 1.09, p < 0.001) and a BMI ≥ 24 (odds ratio = 4.50, p < 0.01) were identified as significant risk factors for post-infection syndrome among previously infected students. Sex and exercise habits also influenced symptom prevalence. Conclusions: Since late 2023, with those experiencing cumulative infections surpassing half of Taiwan’s population, long COVID symptoms have persisted as a widespread concern affecting both physical and mental health, continuing into 2025. This study underscores critical risk factors and symptom patterns among students in medicine-related departments, reinforcing the urgency of sustained surveillance and targeted interventions to facilitate comprehensive recovery.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** brain fog (MESH:D005222), infected (MESH:D007239), post-infection syndrome (MESH:D000094025), cough (MESH:D003371), fatigue (MESH:D005221), anxiety (MESH:D001007), COVID-19 (MESH:D000086382), Long COVID Symptoms (MESH:D000094024)

## Full text

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## Figures

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12345682/full.md

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Source: https://tomesphere.com/paper/PMC12345682