Do pictorial health warnings on waterpipe tobacco packs matter? Recall effectiveness among Egyptian waterpipe smokers & non-smokers
Bibliographic record
Abstract
INTRODUCTION: Despite the global rise in waterpipe tobacco smoking (WTS), the effectiveness of waterpipe tobacco health warnings remain understudied, especially in countries with high WTS rates. Egypt has been employing waterpipe tobacco labelling for a decade, however, their effectiveness is unknown. Our overall aim was to measure the effectiveness of pictorial health warnings (PHWs) on waterpipe tobacco packs (WTPs) through participant memory recall and to investigate whether they induced behavioural responses in waterpipe smokers and deterred uptake of WTS in non-smokers, examining the differentials of effectiveness among socio-demographic subgroups. SUBJECTS AND METHODS: We conducted two surveys including 1490 adult current waterpipe smokers, 73 former waterpipe smokers, and 451 non-smokers in Cairo and a rural village in Egypt between 2015-2017. Participants who noticed PHWs on WTPs were asked questions about salience, communication of health risks, public support, cognitive processing, and self-reported behavioural responses (current waterpipe smokers: reduce consumption, forgo a smoke, quit attempts; former waterpipe smokers: quit; non-smokers: deter WTS initiation). Univariate and multivariable statistical analyses were performed. RESULTS: Participants' mean age was 35 years, mostly males (90.4%), waterpipe smokers (74.0%) and rural residents (59.3%). Approximately two-thirds of participants noticed PHWs on WTPs. Salience was significantly less among females, urban residents and participants with high literacy. More than three-quarters of participants reported that WTS health risks were communicated through the warnings. At least half of participants cognitively processed the warnings: 56.3% thought of the warnings when WTPs were out of sight; non-smokers understood the warnings (83.2%) and discussed them with others (90.3%) significantly more than current (76.0% and 72.5%, respectively) and former waterpipe smokers (81.0% and 61.9%, respectively). Participants reported that PHWs on WTPs motivated 58.5% of waterpipe smokers to think about quitting; 64.5% to reduce their consumption; 42.2% to forgo a smoke; 24.5% to attempt to quit; 57.1% of former waterpipe smokers to successfully quit; and 59.3% of non-smokers to remain smoke-free. CONCLUSIONS: Findings suggest that inserting PHWs on WTPs is an effective waterpipe tobacco labelling policy. Countries with similarly high rates of WTS should consider adopting WTP PHWs within a comprehensive regulatory framework.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".