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Record W4300912417

Smokers' reactions to cigarette package warnings with graphic imagery and with only text: a comparison between Mexico and Canada Reacciones de los fumadores a las advertencias en la cajetilla de cigarrillos con imágenes gráficas o sólo con textos: una comparación entre México y Canadá

2007· article· en· W4300912417 on OpenAlexaboutno aff
James F. Thrasher, David Hammond, Geoffrey T. Fong, Edna Arillo‐Santillán

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2007
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: This comparison of population-based representative samples of adult smokers in Canada (n=1 751) and Mexico (n=1 081) aimed to determine whether cigarette packages with graphic warning labels in Canada had a stronger impact than the text-only warning labels in Mexico. MATERIALS AND METHODS: Bivariate and multivariate adjusted models were used in this study. Results. Canadian smokers reported higher warning label salience (i.e., noticing labels & processing label messages) than Mexican smokers, and warning label salience independently predicted intention to quit. Moreover, Canadians had higher levels of knowledge about smoking-related health outcomes that were included as content on Canadian, but not Mexican, warning labels. Finally, a majority of Mexican smokers want their cigarette packs to contain more information than they currently contain. DISCUSSION: These results are consistent with other studies that indicate that cigarette packages whose warning labels contain prominent graphic imagery are more likely than text-only warning labels to promote smoking-related knowledge and smoking cessation. OBJETIVO: Esta comparación basada en muestras representativas de la población de fumadores adultos de Canadá (n = 1 751) y México (n = 1 081) pretendió determinar si las cajetillas de cigarrillos con leyendas de advertencia que contienen imágenes gráficas en Canadá tuvieron un impacto más acentuado que las leyendas mexicanas que se basan sólo en textos. MATERIAL Y MÉTODOS: En el presente estudio se usaron modelos bivariados y multivariados. Resultados. Los fumadores canadienses respondieron mucho mejor a las advertencias de la etiqueta (es decir, atención que prestaban a los anuncios de las etiquetas y comprensión del mensaje) que los fumadores mexicanos y fueron influidos por las características de las advertencias independientemente de la intención previa que tuvieran de abandonar el hábito. Más aún, los canadienses tienen grados de conocimiento más altos acerca de las repercusiones en la salud que tiene fumar y que fueron incluidas en las advertencias de las etiquetas canadienses pero no en las mexicanas. Por otro lado, la mayoría de los fumadores mexicanos deseó que las cajetillas de cigarrillos incluyeran más información que la que contienen actualmente. CONCLUSIÓN: Estos resultados son consistentes con los de otros estudios en cuanto a indicar que las cajetillas de cigarrillos cuyas etiquetas incluyen mensajes de advertencia con imágenes gráficas destacadas tienen más probabilidad de promover el conocimiento relativo a las consecuencias del tabaquismo y la cesación del mismo que las advertencias que sólo se basan en textos.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.068
GPT teacher head0.460
Teacher spread0.392 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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