Patterns of use and perceptions of harm of smokeless tobacco in Navi Mumbai, India and Dhaka, Bangladesh
Bibliographic record
Abstract
BACKGROUND: Globally, smokeless tobacco use is disproportionately concentrated in low-income and middle-income countries like India and Bangladesh. OBJECTIVES: The current study examined comparative patterns of use and perceptions of harm for different smokeless tobacco products among adults and youth in Navi Mumbai, India, and Dhaka, Bangladesh. METHODS: = 1081). RESULTS: in Bangladesh. Among users in Bangladesh, the most commonly reported reason for using their usual product was the belief that it was "less harmful" than other types. Perceptions of harm also differed with respect to a respondent's usual product. Bangladeshi respondents reported more negative attitudes toward smokeless tobacco compared to Indian respondents. CONCLUSIONS: The findings highlight the high daily use of smokeless tobacco, and the high prevalence of false beliefs about its harms. This set of findings reinforces the need to implement effective tobacco control strategies in low and middle-income countries like India and Bangladesh.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".