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Record W3012747503 · doi:10.1093/ntr/ntaa032

Impact of Pictorial Cigarette Warnings Compared With Surgeon General’s Warnings on Understanding of the Negative Health Consequences of Smoking

2020· article· en· W3012747503 on OpenAlexfundno aff
Jessica K. Pepper, Anh B. Nguyen, Matthew E. Eggers, James Nonnemaker, David B. Portnoy

Bibliographic record

VenueNicotine & Tobacco Research · 2020
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
FundersNational Institutes of HealthU.S. Food and Drug AdministrationHamilton Health Sciences Foundation
KeywordsRecallTobacco controlMedicineSurgeon generalAddictionPsychologyPublic healthPsychiatryNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: The Family Smoking Prevention and Tobacco Control Act requires cigarette packages and advertisements to bear health warnings with "color graphics depicting the negative health consequences of smoking." AIMS AND METHODS: This study assessed whether new US Food and Drug Administration developed pictorial cigarette warnings (PCW) increased understanding of smoking-related risks relative to the current Surgeon General's (SG) warnings. In March-May 2019, adolescent and adult smokers and nonsmokers participated in an online experiment with three sessions completed over approximately 2 weeks. Participants viewed 1 of 16 PCW (treatment conditions) or an SG warning (control) on mock cigarette packages and advertisements. Measures assessed whether warnings provided new information, induced thinking about risks, changed smoking-related health beliefs, and were accurately recalled, among other outcomes. RESULTS: The majority of PCW (≥13 conditions) resulted in greater learning of new information, higher self-reported learning, and greater reports of thinking about smoking risks; they were viewed as more informative, understandable, and attention-drawing compared with the control condition. Most participants believed the warning were factual, although 8 PCW were perceived as less factual than the control. There were changes toward more agreement with health beliefs for 11 PCW between Sessions 1 and 2 and 7 PCW between Sessions 1 and 3. Participants in all treatment conditions were more likely than control condition participants to correctly recall the warning. Across outcomes, PCW related to addiction, death, and quitting did not perform as well as other PCW. CONCLUSIONS: Many of the PCW tested increased understanding of the risks associated with cigarette smoking relative to current SG warnings. IMPLICATIONS: The Tobacco Control Act requires cigarette packages and advertisements to bear PCW depicting the negative health consequences of smoking. This study tested whether any of 16 newly proposed PCW increased understanding of smoking-related risks relative to existing SG warnings. Results suggest that most PCW tested, particularly those related to less widely known health effects, resulted in greater learning of new information, higher self-reported learning, and greater reports of thinking about smoking risks compared with SG warnings. These results, along with other factors, informed the US Food and Drug Administration's selection of proposed PCW.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.064
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.200
GPT teacher head0.412
Teacher spread0.212 · 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 teacher head, 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

Citations14
Published2020
Admission routes1
Has abstractyes

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