Evidence map›Paper›PMID 36249344›Full record

ArticleTobacco induced diseases2022

The pattern in prevalence and sociodemographic factors of smoking in Malaysia, 2011-2019: Findings from national surveys.

Muhammad Fadhli Mohd Yusoff, Kuang Hock Lim, Thamil Arasu Saminathan, Wan Shakira Rodzlan Hasani, Tania Gayle Robert Lourdes, Sumarni Mohd Ghazali, Hamizatul Akmal Abd Hamid, Nur Liana Ab Majid, Halizah Mat Rifin, Jane Ling Miaw Yn

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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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  5. Practice of smoking cessation counselling and its associated factors among government primary healthcare workers in Perak: A cross-sectional study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2026
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Muhammad Fadhli Mohd YusoffInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Kuang Hock LimInstitute for Medical Research, National Institutes of Health, Kuala Lumpur, Malaysia.
Thamil Arasu SaminathanInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Wan Shakira Rodzlan HasaniInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Tania Gayle Robert LourdesInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Sumarni Mohd GhazaliInstitute for Medical Research, National Institutes of Health, Kuala Lumpur, Malaysia.
Hamizatul Akmal Abd HamidInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Nur Liana Ab MajidInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Halizah Mat RifinInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.
Jane Ling Miaw YnInstitute for Public Health, National Institutes of Health, Shah Alam, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSmoking is a major contributor to morbidity and mortality worldwide, with Malaysia no exception. Through the Ministry of Health and other ministries in the government of Malaysia, numerous anti-smoking measures have been introduced to prevent and control smoking in the country. Continuous monitoring of smoking prevalence in the community is essential in order to evaluate the effectiveness of anti-smoking policies. This study aims to update the sociodemographic factors associated with smoking in the past decade in Malaysia.

methodsThe study utilized data from three national household surveys in Malaysia, namely the Global Adult Tobacco Survey (GATS) 2011, the National Health and Morbidity Survey (NHMS) 2015 and the National Health and Morbidity Survey (NHMS) 2019. These surveys adopted a multistage stratified sampling design that represents the population in Malaysia. Smoking status was determined based on the GATS protocol and definitions. Complex sample design estimates and complex multivariable logistic regression were used in the analysis.

resultsA total of 4250, 21410 and 11111 respondents aged ≥15 years participated in GATS 2011, NHMS 2015 and NHMS 2019, respectively, with a response rate between 85% and 87%. The prevalence of smoking was 23.1% (95% CI: 21.2-25.2) in 2011, 22.8% (95% CI: 21.9-23.8) in 2015 and 21.3% (95% CI: 19.9-22.8) in 2019. The prevalence was consistently higher in males (40.5-43.9%), adults aged 25-44 years (25.4-29.0%), Malay (22.6-24.7%), other ethnicities (30.0-35.0%), and the self-employed (33.7-44.6%). Multiple logistic regression analysis showed that the adjusted odds ratio (AOR) of smoking was higher in males, in younger and middle age groups, Malays, and those with lower education level.

conclusionsThere were slight changes in the sociodemographic factors of smoking in the past decade in Malaysia. Stern measures and more aggressive strategies are needed to address all the risk factors in controlling smoking behavior in the country.

Indexed as

associated factorsMalaysiaNational Health Morbidity Surveyprevalencesmoking

Identifiers

PMID36249344
PMCPMC9521184

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