Hazardous use of alcohol among men in the tribal population of Jawadhi Hills, Tamil Nadu: Nature, prevalence, and risk factors
Bibliographic record
Abstract
BACKGROUND: Worldwide, hazardous use of alcohol is common among many cultures and societies and adversely impacts families and communities, with significant morbidity and mortality. Scheduled Tribes (STs) who are socially deprived and marginalised have higher rates of alcohol use. AIM: We attempted to determine the nature, prevalence, and risk factors associated with hazardous consumption of alcohol in the tribal community. METHODOLOGY: A cross-sectional study was conducted among adult male and permanent residents of Jawadhi hills. A total of 1200 men were interviewed. Study participants were chosen by Probability Proportionate to Size (PPS) sampling method. The questionnaire that documented socio-demographic characteristics and patterns of alcohol use was used. AUDIT tool was used to assess the hazardous use of Alcohol. Data were analysed using SPSS. RESULTS: Majority of the men were middle-aged, married, and were from lower socio-economic strata. A large proportion of men (65%) had a history of alcohol consumption in the last one year using one-year, of whom a quarter showed hazardous use (29%) and another quarter exhibited alcohol dependency (24%). Tobacco use, higher income and local alcohol production were found to be significant risk factors for Hazardous alcohol use. CONCLUSION: Alcohol consumption needs to be treated as a social problem and has to be tackled at the policy level. Population-based interventions, legislation, taxation, policies regarding the manufacture and sale of alcohol, are some of the ways to address this problem.
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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) | 0.001 | 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".