Evidence map›Paper›PMID 41322250›Full record

ArticleTobacco induced diseases2025

Smoking among Malaysian adults aged ≥15 years: A secondary dataset analysis of Global Adult Tobacco Survey-Malaysia 2023 (GATS-M 2023).

Kuang Hock Lim, Yoon Ling Cheong, Jia Hui Lim, Sumarni Mohd Ghazali, Kee Chee Cheong, Chien Huey Teh, Pei Pei Heng, Ali Aman Marine, Yong Kang Cheah, Nor Syahaliyana Saidin and 2 more

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Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

12 authors.

Kuang Hock Lim *Independent Researcher, Seri Kembangan, Malaysia.
Yoon Ling Cheong *Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Jia Hui LimSchool of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Malaysia.
Sumarni Mohd GhazaliInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Kee Chee CheongBiostatistics and Data Repository Sector, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Chien Huey TehInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Pei Pei HengInstitute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Ali Aman MarineInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Yong Kang CheahSchool of Economics, Finance and Banking, University Utara Malaysia, Sintok, Malaysia.
Nor Syahaliyana SaidinInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Mohd Hazilas Mat HashimInstitute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.
Hui Li LimInstitute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Shah Alam, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe ongoing assessment of smoking rates and their related factors is a crucial component of anti-smoking initiatives and is essential for evaluating the success of anti-smoking strategies and policies. This research aimed to ascertain the prevalence of smoking and to identify the sociodemographic factors linked to smoking among adults in Malaysia aged ≥15 years.

methodsWe analyzed the secondary data of GATS-M 2023, which employed a cross-sectional design with a representative sample of 4269 adults in Malaysia aged ≥15 years, selected through a stratified, two-stage proportionate-to-size sampling technique. The research team collected the GATS-M data through face-to-face interviews conducted by trained research assistants, using a standardized, validated questionnaire. A multivariable logistic regression analysis was performed to identify sociodemographic factors associated with smoking among Malaysians.

resultsThe overall smoking prevalence was found to be 19.0% (95% CI: 17.1-21.1), with males exhibiting a significantly higher prevalence than females (35.7%; 95% CI: 32.0-39.5 vs 1.5%; 95% CI: 0.8-3.1). The highest rates of smoking were noted among individuals of other ethnic backgrounds (39.1%), those aged 25-44 years (24.9%), and individuals who completed primary school but less than secondary school 95% CI: 2.60-5.91 (23.6%). Multivariable analysis revealed that Males from Malay (AOR=3.92; 95% CI: 2.60-5.91), Indian (AOR=3.17; 95% CI: 1.50-3.74), Other Bumiputra (AOR=3.14; 95% CI: 1.83-0.33), and other ethnic groups (AOR=4.77; 95% CI: 2.36-9.65) (Chinese ethnic as reference), and individuals with primary (AOR=2.98; 95% CI: 1.81-4.90) and secondary education level, showed a higher risk of being current smokers (AOR=1.81; 95% CI: 1.17-2.80, tertiary education level as reference) whilst no similar trends were found among female adults.

conclusionsThe smoking prevalence among Malaysian adults aged ≥15 years showed a slight decrease. There is a need for more anti-smoking policies or interventions, particularly aimed at males, Malays, younger adults, and those with lower levels of education, to further reduce the smoking prevalence in Malaysia.

Indexed as

GATS-MMalaysian adultssmokingsociodemographic factors

Identifiers

PMID41322250
PMCPMC12658477

What Socratic holds

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LicenceCC BY
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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 Socratic graph.