Evidence map›Paper›PMID 26404335›Full record

ArticleInternational journal of environmental research and public health2015

Predictors of Successful Quitting among Thai Adult Smokers: Evidence from ITC-SEA (Thailand) Survey.

Aree Jampaklay, Ron Borland, Hua-Hie Yong, Buppha Sirirassamee, Omid Fotuhi, Geoffrey T Fong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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.

Aree JampaklayInstitute for Population and Social Research, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand. aree.ude@mahidol.ac.th.
Ron BorlandCancer Council Victoria, Melbourne, Victoria 3004, Australia. ron.borland@cancervic.org.au.
Hua-Hie YongCancer Council Victoria, Melbourne, Victoria 3004, Australia. hua.yong@cancervic.org.au.
Buppha SirirassameeInstitute for Population and Social Research, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand. buppha.sir@mahidol.ac.th.
Omid FotuhiDepartment of Psychology, Stanford University, 450 Serra Mall, Stanford, CA 94305, USA. omidfotuhi@gmail.com.
Geoffrey T FongDepartment of Psychology, University of Waterloo, Waterloo, ON N2L 3G1, Canada. geoffrey.fong@uwaterloo.ca.

Funding

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
NCI NIH HHS P50 CA111236NCI NIH HHS R01 CA100362
6 · The paper itself

Abstract

This study uses longitudinal data from the International Tobacco Control Southeast Asia (ITC-SEA Thailand) survey to explore patterns and predictors of successful quitting among Thai adult smokers as a function of time quit. A cohort of a representative sample of 2000 smokers was surveyed four times from 2005 to 2009. A sample of 1533 individuals provided data for at least one of the reported analyses. Over the four years of follow-up, 97% made attempts to quit. Outcomes were successful quitting/relapse: (a) quit attempts of at least one month (short-term relapse, 43%) (57% remaining quit); (b) surviving at least six months (medium-term) (31%); (c) relapse between one and six months (45%); (d) having continuously quit between Waves 3 and 4 (sustained abstinence) (14%); and (e) relapse from six months on (44%) compared to those who continuously quit between Waves 3 and 4 (56%). Predictors for early relapse (<1 month) differ from longer-term relapse. Age was associated with reduced relapse over all three periods, and was much stronger for longer periods of abstinence. Cigarette consumption predicted relapse for short and medium terms. Self-assessed addiction was predictive of early relapse, but reversed to predict abstinence beyond six months. Previous quit history of more than one week was predictive of early abstinence, but became unrelated subsequently. Self-efficacy was strongly predictive of abstinence in the first month but was associated with relapse thereafter. Some determinants of relapse change with time quit, but this may be in somewhat different to patterns found in the West.

Indexed as

AdolescentAdultAgedBehavior, AddictiveFemaleHumansMaleMiddle AgedRecurrenceSelf EfficacySmokingSmoking CessationSurveys and QuestionnairesThailandTobacco Use DisorderYoung Adultadult smokers in ThailandITC surveyspredictors of successful quitting

Identifiers

PMID26404335
PMCPMC4626957

What OpenQuestion holds

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LicenceCC BY
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.