Conflict in the Indian Kashmir Valley II: psychosocial impact
Bibliographic record
Abstract
BACKGROUND: India and Pakistan have disputed ownership of the Kashmir Valley region for many years, resulting in high levels of exposure to violence among the civilian population of Kashmir (India). A survey was done as part of routine programme evaluation to assess confrontation with violence and its consequences on mental health, health service usage, and socio-economic functioning. METHODS: We undertook a two-stage cluster household survey in two districts of Kashmir (India) using questionnaires adapted from other conflict areas. Analysis was stratified for gender. RESULTS: Over one-third of respondents (n = 510) were found to have symptoms of psychological distress (33.3%, CI: 28.3-38.4); women scoring significantly higher (OR 2.5; CI: 1.7-3.6). A third of respondents had contemplated suicide (33.3%, CI: 28.3-38.4). Feelings of insecurity were associated with higher levels of psychological distress for both genders (males: OR 2.4, CI: 1.3-4.4; females: OR 1.9, CI: 1.1-3.3). Among males, violation of modesty, (OR 3.3, CI: 1.6-6.8), forced displacement, (OR 3.5, CI: 1.7-7.1), and physical disability resulting from violence (OR 2.7, CI: 1.2-5.9) were associated with greater levels of psychological distress; for women, risk factors for psychological distress included dependency on others for daily living (OR 2.4, CI: 1.3-4.8), the witnessing of killing (OR 1.9, CI: 1.1-3.4), and torture (OR 2.1, CI: 1.2-3.7). Self-rated poor health (male: OR 4.4, CI: 2.4-8.1; female: OR 3.4, CI: 2.0-5.8) and being unable to work (male: OR 6.7, CI: 3.5-13.0; female: OR 2.6, CI: 1.5-4.4) were associated with mental distress. CONCLUSION: The ongoing conflict exacts a huge toll on the communities' mental well-being. We found high levels of psychological distress that impacts on daily life and places a burden on the health system. Ongoing feelings of personal vulnerability (not feeling safe) was associated with high levels of psychological distress. Community mental health programmes should be considered as a way reduce the pressure on the health system and improve socio-economic functioning of those suffering from mental health problems.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".