Socioeconomic Disparities in Smoking Behavior and Early Smoking Initiation Among Men in Malawi
Bibliographic record
Abstract
BACKGROUND: Tobacco smoking is a growing concern for health care systems as it is projected to become the leading cause of death in the developing world. Knowledge of how smoking behavior differs across socioeconomic groups is crucial for designing effective preventive policies and alleviating the disparities. The aim of this study was to report the prevalence of (1) smoking status, (2) early smoking initiation, and (3) association with socioeconomic status (SES) of the 2 among Malawian men. METHODS: Cross-sectional data on 1693 men aged between 15 and 49 years were collected from the latest 2013-2014 Multiple Indicator Cluster Survey in Malawi. Educational qualification and wealth index quintile were used as the indicators of SES. Outcome variables were smoking status, first age of smoking being below 18 years, and ever using any form of smokeless tobacco products. Multiple logistic regression models were used to see the contribution of SES to smoking status and early smoking initiation. RESULTS: Mean age of the sample population was 33.23 years (SD: 8.25). Prevalence of smoking, early initiation, and ever using any form of smokeless tobacco were, respectively, 46.6%, 33.7%, and 6%. Compared with men who had higher education, those who had no formal education, primary-level, and secondary-level qualification had, respectively, 21% (adjusted odds ratio [AOR] = 1.209; 95% confidence interval [CI] = 0.498-2.935), 40% (AOR = 1.4; 95% CI = 0.647-3.029), and 26% (AOR = 1.256; 95% CI = 0.593-2.661) higher odds of being a smoker. Those who had no formal education were 2.7 times (AOR = 2.734; 95% CI = 1.123-6.653) as likely to try smoking before reaching 18 years of age. Compared with the richest, those in the lowest wealth quintile had 32% lower odds (AOR = 0.676; 95% CI = 0.455-1.006) of early onset of smoking, 63% lower odds (AOR = 0.372; 95% CI = 0.201-0.690) of trying other tobacco products. CONCLUSIONS: Addressing the socioeconomic disparities could play a vital role in delaying early onset and limiting overall consumption of tobacco. Ongoing health policy talks to reduce the prevalence of smoking should take into consideration improving educational and material well-being among men.
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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 | 0.001 |
| 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".