Evidence map›Paper›PMID 34755869›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

Age-Related Interactions on Key Theoretical Determinants of Smoking Cessation: Findings from the ITC Four Country Smoking and Vaping Surveys (2016-2020).

Michael Le Grande, Ron Borland, Hua-Hie Yong, Ann McNeill, Geoffrey Fong, K Michael Cummings

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 4 countries.

Michael Le GrandeMelbourne Centre for Behaviour Change, School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-5902-6131
Ron BorlandMelbourne Centre for Behaviour Change, School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0003-0059-178X
Hua-Hie YongSchool of Psychology, Deakin University, Burwood, VIC, Australia.ORCID 0000-0001-8167-6173
Ann McNeillNational Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, London, UK.
Geoffrey FongDepartment of Psychology, University of Waterloo, Waterloo, ON, Canada.
K Michael CummingsDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
The University of Melbourne · AUDeakin University · AUKing's College London · GBMedical University of South Carolina · USOntario Institute for Cancer Research · CA

Funding

Vaporized Nicotine Product Initiation Among Youth in the US, Canada, and England: Methods to Predict Uptake and Policy EfficacyP01CA200512 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FONG, GEOFFREY T · 2016 to 2025
$25.3M
CIHR FDN-148477Medical Research Council MR/S037519/1NCI NIH HHS P01 CA200512
6 · The paper itself

Abstract

backgroundThis paper explores whether plans to quit, wanting to quit, and quit efficacy add predictive value over measures of habit strength and dependence in making quit attempts and/or attaining smoking abstinence. AIMS AND

methodsWe used three waves of the International Tobacco Control (ITC) Four Country Smoking and Vaping Survey conducted in 2016, 2018, and 2020. Baseline daily smokers (N = 6710) who provided data for at least one wave-to-wave transition (W1 to W2, N = 3511 or W2 to W3, N = 3199) and provided outcome data at the next wave (follow-up) formed the analytic sample. Generalized estimating equations (GEE) logistic regression analyses examined predictors of quit attempts and abstinence at follow-up (1- and 6-month sustained abstinence).

resultsWanting and planning to quit were significantly positively associated with making quit attempts, but negatively associated with smoking abstinence. A significant interaction between the Heaviness of Smoking Index and age warranted an age-stratified analysis for both abstinence outcomes. Lower HSI predicted abstinence in only the younger smokers Motivation and plans to quit were positively associated with abstinence in younger smokers, but surprisingly were negatively associated with abstinence in older smokers. Quit efficacy was associated with abstinence in the older, but not the younger smokers.

conclusionsModels of smoking abstinence are significantly improved by including motivational predictors of smoking. Age was an important moderator of the association between abstinence for both dependence and motivational variables. IMPLICATIONS: The findings from this large cohort study indicate there are age-related differences in predictors of smoking abstinence but not quit attempts. These associations may reflect differential experiences of older and younger cohorts of smokers, which may have implications for interventions to motivate and assist smokers in quitting.

Indexed as

Smoking CessationVapingAgedCohort StudiesHumansSmokersSmoking

Identifiers

PMID34755869
PMCPMC9122748
OpenAlexW3213006532

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.