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Record W6962833590 · doi:10.17920/g9w03d

Effects of pro and anti-smoking cues in stores on craving

2004· other· en· W6962833590 on OpenAlexaboutno aff

Bibliographic record

VenueCalifornia Digital Library · 2004
Typeother
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsCravingTobacco productFood cravingProduct (mathematics)AddictionCue reactivityProduct category

Abstract

fetched live from OpenAlex

Stores saturated with tobacco advertising and promotions constitute a significant public health concern. Young adults buy cigarettes in convenience stores at a much higher rate than older shoppers and are sensitive to pricing and brand imagery conveyed at the point-of-sale. High smoking rates among 18- to 24-year-olds and the large proportion who desire to quit provide a compelling rationale for research about young adults’ reactions to retail tobacco marketing and its role in promoting smoking. The focus of this proposal is the widely held belief that retail tobacco marketing stimulates craving and deters quitting. Specifically, two experiments are proposed to examine young adults’ autonomic and subjective responses to pro- and anti-smoking cues in stores. These indicators of craving are important to study because they would provide new evidence about the role of tobacco advertising in perpetuating addiction and the potential for advertising restrictions to deter tobacco use. Study 1 manipulates young adult smokers’ (n=200) exposure to retail marketing for cigarettes and non-tobacco products and compares the impact of seeing cigarette ads or pack displays. Autonomic response (secondary task reaction time) and subjective reactions (paper-and-pencil measure of craving) will be measured in response to ten point-of-purchase ads or product displays of cigarettes and ten ads or product displays of non-tobacco items, such as sodas, candy, or salty snacks. The primary hypotheses, derived from studies of cue reactivity, predict longer reaction times and higher levels of self-reported craving in response to tobacco than non-tobacco cues. Additionally, we predict longer reaction times and higher levels of craving in response to cigarette pack displays than to cigarette ads. Study 2 will assess the effect of packaging cigarettes with graphic warning labels on craving. Young adult smokers (n=100) will see 12 non-tobacco products interspersed with either (a) four cigarette packs with graphic Canadian warning labels, or (b) the same four cigarette packs without warning labels, or (c) four more non-tobacco products. Autonomic and subjective responses will be measured as in Study 1. The primary hypothesis predicts lower levels of self-reported craving among smokers exposed to Canadian warning labels than the control group and highest levels among those exposed to packs without warning labels. Several aspects of this research are innovative. Although considerable research suggests that smokers are responsive to environmental cues that signal the availability of cigarettes, the proposed studies would be the first we are aware of to determine whether exposure to tobacco marketing stimulates craving. Second, the proposed research focuses on young adults – an age group the highest smoking rates in California and whose responses to tobacco marketing are not well understood. Finally, the anticipated study results will help tobacco control advocates understand the implications of various policy options to regulate the packaging and marketing of tobacco in retail outlets.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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
Published2004
Admission routes1
Has abstractyes

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