Prevalence and social determinants of suicidal behaviours among college youth in India
Bibliographic record
Abstract
BACKGROUND: Little is known about the prevalence of and factors associated with suicide ideation and suicide attempts among college youth in India. AIMS: The aims were to estimate the prevalence of suicidal behaviours among Indian college students and identify potential risk factors for suicide ideation and attempts. METHOD: The study surveyed 1,817 undergraduate college students aged 18-24 years in Ahmedabad, Gujarat, with a questionnaire that assessed suicidal behaviours as well as stressful situations and life events. Logistic regression analysis was used to assess risk factors. RESULTS: The prevalence of lifetime suicide ideation and lifetime suicide attempts was 11.7% and 4.0%, respectively. Suicide ideation was predicted by female gender, odds ratio (OR) = 1.41, 95% CI 1.01, 1.97, economic stress, OR = 1.17, 95% CI 1.11, 1.24, stress due to life events involving religious violence in the community, OR = 1.43, 95% CI 1.15, 1.78, and life events involving caste conflicts or caste discrimination, OR = 1.28, 95% CI 1.13, 1.46. Female gender and caste-related life events were not significantly associated with suicide attempts but economic stress and stressful experience of religious conflict continued to be significantly associated with lifetime suicide attempt, OR = 1.19, 95% CI 1.08, 1.31, and OR = 1.58, 95% CI 1.14, 2.17, respectively. CONCLUSIONS: In this sample, college students from low socioeconomic classes who faced economic difficulties, and students who experienced distress as a result of caste discrimination or caste conflict, and communal unrest, were at a higher risk for suicidal behaviour.
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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 | 0.000 | 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".