Evidence map›Paper›PMID 39133364›Full record

ArticleJournal of epidemiology and global health2024

Smoking Cessation and Utilization of Cessation Assistance in 13 low- and middle-income countries - changes between Two Survey Rounds of Global Adult Tobacco Surveys, 2009-2021.

Chandrashekhar T Sreeramareddy, Lai Pei Kuan

Abstract read
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Article in Journal of epidemiology and global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

2 authors.

Chandrashekhar T SreeramareddyDivision of Community Medicine and Public Health, International Medical University, Kuala Lumpur, Malaysia. chandrashekharats@yahoo.com.ORCID 0000-0002-5693-7631
Lai Pei KuanCentre for Translational Research Institute for Research Development and Innovation, International Medical University, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMonitoring changes in cessation behaviors and cessation assistance is critical for policymaking.

methodsWe analyzed two rounds (2009-2014 and 2015-2021) of Global Adult Tobacco Surveys in 13 countries. We estimated the quit ratio, quit attempt, and utilization of cessation assistance. The availability of cessation services was obtained from World Health Organization reports. We calculated absolute and relative changes in quit ratio, quit attempt, and cessation assistance. We assessed socio-economic determinants of cessation behaviors by binary logistic regression analyses on pooled data.

resultsIn all countries during both rounds smoking prevalence was 7.6-33.8%, the quit ratio was 0.15-0.54%, and the quit attempt was 17.7-52.8%. Quit ratio improved in Indonesia by 100% but declined in Turkey by 56%. Quit attempts increased in Indonesia (31.9%), Mexico (16.9%) and China (15.9%) but decreased in Turkey (140.4%), Vietnam (43.1%), and Romania (62.4%). In both rounds, using at least one method was 12.5-99.8% while the WHO-recommended method was 4.1-88.4%. In both rounds "try to quit without any assistance" and "other methods" were the most frequently reported cessation assistance. Nicotine replacement therapy (0.2-25.3%) was frequently used as recommended cessation assistance. Nicotine replacement therapy was available in most countries but not quitline and support services.

conclusionLimited progress was made in smoking cessation behaviors and cessation assistance in most countries. Health education to improve demand for smoking cessation and availability of evidence-based, low-cost smoking cessation assistance including quit-smoking may improve quit ratios in the population.

Indexed as

Developing CountriesSmoking CessationAdolescentAdultFemaleGlobal HealthHealth SurveysHumansMaleMiddle AgedPrevalenceSmokingSurveys and QuestionnairesYoung AdultCross-sectional SurveyGlobal HealthSmoking CessationSmoking Cessation Agents

Identifiers

PMID39133364
PMCPMC11442961

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LicenceCC BY-NC-ND
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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.