EVALUATION OF MENTAL DISORDERS AMONG DAY SCHOLARS AND HOSTEL MEDICAL STUDENTS - PLACE OF RESIDENCE MATTERS
Bibliographic record
Abstract
ABSTRACT OBJECTIVE: To assess stress, anxiety, and depression among medical students and compare the mental health status of medical students living at home and in hostels. STUDY DESIGN: Cross-sectional study PLACE AND DURATION OF STUDY: The study was conducted at a private Medical University from 10th July to October 2019 in Karachi. SUBJECTS AND METHODS: Data was collected through convenient sampling technique from 300 undergraduate medical, of which, 284 participants completed the questionnaire. After taking informed consent data was collected. The data collection tools used was Perceived Stress Scale-10 for stress and Agha Khan University Anxiety Depression Scale for anxiety and depression. All the data were analyzed on SPSS version 26. RESULTS: Results showed the mean age of the students was 21.3± 1.9 years. A moderate to severe level of stress was found in 221 (77.8%) medical students while a majority (69 %) of the students screened positive for anxiety and depression. Moderate to severe stress was found in 162 (77.9%) of the hostel students, while anxiety and depression was also higher among hostel students (73.6%). According to PSS-10 scale, moderate to high levels of stress was found to be statistically significant in younger students as compared to older students (P-value 0.03). CONCLUSION: Most medical students had psychological issues especially higher in those living away from home. Early detection of stress, anxiety and depression and its counseling are a golden rule for curbing and preventing psychological issues in medical students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".