Assessing the relationship between lifestyle factors and mental health outcomes among Afghan university students
Bibliographic record
Abstract
Lifestyle factors such as physical activity, diet, and sleep can impact university students' mental health. This study examined the associations between lifestyle and mental health among students at Herat University in Afghanistan. A cross-sectional study was conducted among 677 students selected through stratified random sampling. Participants completed a questionnaire on socio-demographics, physical health, dietary habits, and the Depression Anxiety Stress Scale (DASS-42). Chi-square tests and logistic regression analyzed the relationships between lifestyle factors and DASS-42 scores. Poor perceived health and irregular breakfast consumption were associated with higher odds of depression and anxiety. Low vegetable intake also increases the odds of depression and anxiety. Studying non-medical fields and irregular sleep patterns were linked to higher stress levels. Comprehensive health promotion and targeted interventions addressing dietary habits, sleep, and discipline-specific needs may improve the mental well-being of university students. A multidimensional approach is required to foster a healthy campus environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".