Evidence map›Paper›PMID 24570098›Full record

ArticleTobacco control2015

Smoking-related thoughts and microbehaviours, and their predictive power for quitting.

Lin Li, Ron Borland, Geoffrey T Fong, Yuan Jiang, Yan Yang, Lili Wang, Timea R Partos, James F Thrasher

Abstract read
In one paragraph

Article in Tobacco control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Trial
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  5. Trajectories of Responses to Pictorial Cigarette Pack Warnings.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Trial
  6. Potential Effectiveness of Pictorial Warning Labels That Feature the Images and Personal Details of Real People.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
    Trial
  7. Article
  8. Article
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  14. Placing Health Warnings on E-Cigarettes: A Standardized Protocol.International journal of environmental research and public health · 2018
    Article
  15. Article
  16. Article
  17. A brief measure of reactance to health warnings.Journal of behavioral medicine · 2017
    Article
  18. Article
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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

8 authors.

Lin LiResearch Division, Cancer Council Victoria, Melbourne, Australia.
Ron BorlandResearch Division, Cancer Council Victoria, Melbourne, Australia.
Geoffrey T FongDepartment of Psychology, University of Waterloo, Waterloo, Canada Ontario Institute for Cancer Research, Toronto, Canada.
Yuan JiangTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan YangTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Lili WangTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China.
Timea R PartosResearch Division, Cancer Council Victoria, Melbourne, Australia.
James F ThrasherDepartment of Health Promotion, Education & Behavior, Arnold School of Public Health, University of South Carolina, Columbia, USA.

Funding

Variation in Cigarettes, Tobacco use Behaviors and Exposures in ITC CountriesP01CA138389 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI THOMPSON, MARY · 2009 to 2013
$13.4M
Project 3: Policy Effects on Cigarette Design, Emissions &BehaviorP50CA111236 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CUMMINGS, KENNETH MICHAEL · 2004 to 2009
$8.2M
International Tobacco Policy SurveyR01CA100362 · NCI · UNIVERSITY OF WATERLOO · PI FONG, GEOFFREY T · 2005 to 2013
$4.7M
Tobacco Control Policy Evaluation in China and South Korea: The ITC Asia ProjectR01CA125116 · NCI · UNIVERSITY OF WATERLOO · PI FONG, GEOFFREY T · 2007 to 2011
$2.8M
Cancer Research UK C312/A3726NCI NIH HHS P01 CA138389NCI NIH HHS P50 CA111236NCI NIH HHS R01 CA100362NCI NIH HHS R01 CA125116
6 · The paper itself

Abstract

backgroundNegative attitudes to smoking are well-established predictors of intentions to quit and quit behaviours, but less attention has been given to whether quitting is influenced by smoking-related thoughts and microbehaviours that reflect a concern about smoking.

objectivesThis paper aimed to describe the occurrence of smoking-related thoughts and microbehaviours among Chinese smokers, and to examine their predictive power for making quit attempts and sustained abstinence.

methodsThe data came from the first three waves of the International Tobacco Control China Survey. Four measures of recent thoughts about smoking and two microbehaviour measures (collectively referred to as microindicators) were examined.

resultsMost smokers (around three-quarters) reported thinking about harms of smoking to themselves or to others at least occasionally, and an increasing minority reported the two microbehaviours of prematurely butting out cigarettes and forgoing them. All microindicators were positively related to subsequent quit attempts in individual predictor analyses, but only serious thoughts about quitting and butting out cigarettes had independent relationships. Overall, there was no clear relationship between these microindicators and sustained abstinence.

conclusionsThere was a moderately high level of occurrence of recent smoking-related thoughts and microbehaviours among the Chinese adult smokers in the six cities studied. Like in the West, microindicators of concern about smoking were positively associated with subsequent quit attempts, but unlike in the West, they were largely unrelated to sustained abstinence.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAsian PeopleFemaleHumansMaleMiddle AgedSmokingSmoking CessationYoung AdultAddictionCessationLow/Middle income country

Identifiers

PMID24570098
PMCPMC4532545

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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.