Prevalence and correlates of current tobacco use and non-user susceptibility to using tobacco products among school-going adolescents in 22 African countries: a secondary analysis of the 2013-2018 global youth tobacco surveys
Bibliographic record
Abstract
BACKGROUND: Our study examined the prevalence and associated factors of tobacco product use and non-users' susceptibility to using tobacco products among school-going adolescents in 22 African countries. METHODS: We analyzed the cross-sectional 2013-2018 Global Youth Tobacco Survey (GYTS) data from 22 African countries. We conducted complex sampling descriptive and logistic regression analyses. RESULTS: The overall prevalence of current use of any tobacco product among adolescents was 19.1%, with more males (23.7%) than females (13.7%) being current users. Zimbabwe and Morocco were the highest (47.1%) and least (12.6%) reported prevalence, respectively. Being male (AOR = 1.93;95%CI:1.61-2.32), being 16 and older(AOR = 1.37;95%CI:1.01-1.86), exposure to secondhand smoke within (AOR = 1.98;95%CI:1.69-2.32) and outside (AOR = 1.37;95%CI:1.13-1.65) the home, not knowledgeable about the harmful effect of secondhand smoke (AOR = 1.44;95%CI:1.20-1.74), exposure to tobacco industry promotion (AOR = 3.05;95%CI:2.68-3.47) and not in favour of banning smoking in enclosed places (AOR = 1.32;95%CI:1.08-1.60) were associated with current use of any tobacco product. The prevalence of the susceptibility to using tobacco products among never users of tobacco products was 12.2%, with no significant gender difference. Mozambique (24.6%) and Algeria (4.5%) had the highest and least prevalence of susceptibility to using tobacco products among never users, respectively. Exposure to tobacco industry promotion (AOR = 1.54;95%CI:1.31-1.82), those not in favour of banning smoking in enclosed places (AOR = 1.29;95%CI:1.14-1.45) and those not exposed to anti-smoking school education (AOR = 1.24;95%CI:1.06-1.46) were associated with susceptibility to using any tobacco product among never users of tobacco products. CONCLUSION: Our study reports that tobacco use and non-user susceptibility to using tobacco products among school-going adolescents in the 22 African countries is high. As part of public health efforts, governments and other stakeholders need to fully implement anti-tobacco use campaigns, enforce a complete ban on tobacco promotion and advertising, institute educational programs for families, and anti-tobacco use education for the general public and in schools in line with WHO Framework Convention on Tobacco Control guidelines.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".