Prevalence of Anxiety and Depression among College Students in Kathmandu, Nepal
Bibliographic record
Abstract
Introduction: Anxiety and depression are among the most common mental health problems, and they are highly comorbid with each other. Many college students experience several mental health issues because of academic pressure, family expectations, difficult environment, and controlling people. Hence, the objective of the current study was to investigate the prevalence of anxiety and depression in college students of Kathmandu, Nepal, as very limited studies have been conducted in this area. Methods: This was a cross-sectional study conducted in 504 students (317 male & 187 female, age range = 15 to 21 years, mean age = 17.12±0.90 years) of grade 11 and 12 studying in nine randomly selected colleges of Kathmandu valley, Nepal. Participants with chronic medical illness and severe mental disorders were excluded from the study. A semi-structured questionnaire was used to obtain the information related to socio-demography, and the Hospital Anxiety and Depression Scale (HADS) to assess the status of anxiety and depression in college students. Data were entered and analysed using Statistical Package for Social Sciences (SPSS) version 20.0. Results were presented in frequency and percentage. Results: The prevalence of anxiety in college students was 53.97%. Where, 28.57% students had mild anxiety, 18.85% had moderate anxiety, and 6.55% had severe anxiety. Similarly, the prevalence of depression in college students was found to be 39.88%. Where, 22.42% students had mild depression, 13.69% had moderate depression, and 3.77% had severe depression. Conclusion: The prevalence of both anxiety and depression among college students in Kathmandu valley, Nepal, was found to be very high. The Government of Nepal and other concerned bodies should pay attention to this area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".