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Record W4295037739 · doi:10.1093/ntr/ntac212

Do Social Norms for Cigarette Smoking and Nicotine Vaping Product Use Predict Trying Nicotine Vaping Products and Attempts to Quit Cigarette Smoking Amongst Adult Smokers? Findings From the 2016–2020 International Tobacco Control Four Country Smoking and Vaping Surveys

2022· article· en· W4295037739 on OpenAlexafffundabout
Hua‐Hie Yong, Ruth Chow, Katherine East, James F. Thrasher, Sara C Hitchman, Ron Borland, K. Michael Cummings, Geoffrey T. Fong

Bibliographic record

VenueNicotine & Tobacco Research · 2022
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of WaterlooOntario Institute for Cancer Research
FundersNational Cancer InstituteCanadian Institutes of Health ResearchNational Health and Medical Research CouncilSociety for the Study of AddictionOntario Institute for Cancer Research
KeywordsSocial norms approachTobacco controlNicotinePsychologySmoking cessationGeneralized estimating equationDemographyInterpersonal communicationNormativeNorm (philosophy)OddsMedicineEnvironmental healthSocial psychologyPublic healthPsychiatryPerceptionPolitical scienceLogistic regressionSociology

Abstract

fetched live from OpenAlex

INTRODUCTION: To examine whether perceived injunctive and descriptive social norms towards cigarette and nicotine vaping product (NVP) use predicted subsequent trying NVPs and attempts to quit cigarette smoking amongst current smokers and whether associations varied across countries. AIMS AND METHODS: Three waves of longitudinal cohort data from the International Tobacco Control Four Country Smoking and Vaping Survey were collected between 2016 and 2020 from 2290 adult smokers in Canada, Australia, England, and the United States who had never used NVPs at baseline (either wave 1 or wave 2) and followed up at the subsequent wave (wave 2 or wave 3, respectively) were analyzed using Generalized Estimating Equations. RESULTS: Of the injunctive and descriptive norm measures for smoking and NVP use, NVP initiation was only independently predicted by the injunctive interpersonal norm for NVP use, with perceived approval of NVP use by important others predicting higher odds of trying NVPs (AOR = 1.65, 95% CI = 1.20 to 2.27). This predictive effect was independent of baseline quit intention with no country variations found. By contrast, making cigarette smoking quit attempts were independently predicted by both injunctive and descriptive interpersonal norms with perceived disapproval of smoking by important others (AOR = 1.65, 95% CI = 1.38 to 1.99) and close friends using NVPs (AOR = 1.37, 95% CI = 1.04 to 1.79), both associated with higher odds of smoking quit attempts. CONCLUSIONS: Adult smokers who perceive NVP use as normative, either because such behavior is socially approved or common within their close social networks, appear more inclined to try NVPs or make smoking quit attempts than smokers who do not. IMPLICATIONS: Social norms can shape a person's behavior and result in behavior change. This study shows that initiation of NVP use behavior among smokers can be reliably predicted by their perception of whether NVP use is acceptable to those important to them within their close social networks. Similarly, any attempts to stop cigarette smoking can be predicted by their perception of how acceptable cigarette smoking is among those who are important to them and whether any of their close friends use NVPs. Changing social norms towards cigarette smoking and NVP use could therefore be incorporated into smoking cessation interventions to help smokers to quit and/or switch to NVP use.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.003
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 head0.073
GPT teacher head0.337
Teacher spread0.264 · 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.

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

Citations19
Published2022
Admission routes3
Has abstractyes

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