Evidence map›Paper›PMID 35949928›Full record

ArticleTobacco induced diseases2022

Methods and factors influencing successful smoking cessation in Thailand: A case-control study among smokers at the community level.

Bundit Sornpaisarn, Nadia Parvez, Werayut Chatakan, Weena Thitiprasert, Pattanapong Precha, Ronnachai Kongsakol, Udomsak Saengow, Jürgen Rehm

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 6 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

8 authors at 4 institutions in 2 countries.

Bundit SornpaisarnInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada.
Nadia ParvezDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Werayut ChatakanGraduate School, Nakhon Sri Thammarat Rajabhat University, Nakhon Sri Thammarat, Thailand.
Weena ThitiprasertAssociation of Innovation for Thailand Development, Nakhon Sri Thammarat, Thailand.
Pattanapong PrechaNoppitham Hospital, Nakhon Sri Thammarat Provincial Office, Nakhon Sri Thammarat, Thailand.
Ronnachai KongsakolFaculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Udomsak SaengowCenter of Excellence in Data Science for Health Study, Nakhon Sri Thammarat, Thailand.
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Canada.
Nakhon Si Thammarat Rajabhat University · THCentre for Addiction and Mental Health · CAMahidol University · THUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite comprehensive tobacco control policies being in place since 1992, smoking prevalence in Thailand has not declined since 2009, indicating a potential need for individual-level measures. This study examined factors influencing successful smoking cessation attempts in Thailand.

methodsWith a case-control design, smoking cessation experiences of 284 successful (defined as having quit smoking for at least six months) and 837 unsuccessful quitters, who were all lifetime daily smokers, were compared, using sociodemographic data, smoking behaviors, and smoking cessation experiences from their last quitting attempt. Data were collected between August and December 2020. Multivariate-adjusted logistic regressions were employed.

resultsUnaided smoking cessation was the most popular method among Thais attempting to quit smoking; more than 99% of both successful and unsuccessful quitters used this method. A significantly higher proportion of successful quitters favored stopping their smoking abruptly than did unsuccessful quitters. Depending on the cessation phases (nicotine withdrawal or relapse prevention), cessation-supporting factors included a doctor's recommendation to stop smoking due to smoker's sickness (OR=2.6; 95% CI: 1.9-3.6), having a grandchild (OR=2.5; 95% CI: 1.1-5.6) or child (OR=2.0; 95% CI: 1.2-3.1), exercising (OR=13.9; 95% CI: 7.2-26.9), avoiding smokers (OR=6.7; 95% CI: 4.1-11.1), self-efficacy (OR=8.5; 95% CI: 3.6-20.0), having a good appetite (OR=1.9; 95% CI: 1.3-2.8), wishing to avoid the unpleasant smell of other people's smoking after cessation (OR=3.7; 95% CI: 2.5-5.5), smoking prohibitions in public places (OR=2.8; 95% CI: 1.2-6.4) and workplaces (OR=4.5; 95% CI: 1.9-10.3), and expensive tobacco (OR=1.9; 95% CI: 1.3-2.9). Barriers to successful cessation included using roll-your-own (OR=0.4; 95% CI: 0.3-0.5), insomnia (OR=0.3; 95% CI: 0.2-0.5), social pressure to smoke (OR=0.4; 95% CI: 0.3-0.6), associating smoking with a habit/specific activity (OR=0.4; 95% CI: 0.3-0.5), and pleasure of smoking (OR=0.5; 95% CI: 0.3-0.7).

conclusionsThis study highlights several factors found to influence successful smoking cessation among Thai smokers which can be used to design a guideline for unaided smoking cessation, and for smoking cessation enhancement programs and policies.

Indexed as

quitting smokingsmoking cessationThailandtobacco

Identifiers

PMID35949928
PMCPMC9310060
OpenAlexW4287306507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.