Evidence map›Paper›PMID 32292316›Full record

ArticleTobacco induced diseases2020

An online survey of Malaysian long-term e-cigarette user perceptions.

Surajudeen A Abdulrahman, Kurubaran Ganasegeran, Chin W Loon, Abdul Rashid

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 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

4 authors.

Surajudeen A AbdulrahmanDepartment of Public Health Medicine, RCSI & UCD Malaysia Campus, George Town, Malaysia.
Kurubaran GanasegeranClinical Research Center, Seberang Jaya Hospital, Seberang Perai, Malaysia.
Chin W LoonDepartment of Environmental Health and Licensing, City Council of Penang Island, George Town, Malaysia.
Abdul RashidDepartment of Public Health Medicine, RCSI & UCD Malaysia Campus, George Town, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of e-cigarettes (EC) has reached alarming proportions among Malaysians. On a national level, little is known about the profile and perceptions of Malaysian EC users. This study aimed to explore the prevalence of long-term EC usage and its associated factors among EC users in Malaysia.

methodsThis nationwide online questionnaire survey was administered among 694 EC users across 13 states and 1 Federal Territory in Malaysia, between January and April 2018. A survey link was e-mailed to EC users that were recruited from an official national vape entity through their Facebook association page. We obtained information on respondents' sociodemographic characteristics, smoking habits, long-term e-cigarette usage and perceptions of EC use. We estimated long-term EC user prevalence and fitted multivariate regression models to predict factors associated with long-term EC usage. Statistical significance was set at p<0.05.

resultsRespondents were predominantly Malays (87.6%), aged >30 years (68.1%) and tertiary educated (71%). The majority were employed (93.1%) with a monthly household income of MYR 4000 or less (56.6%). About 84% were former smokers, while 10% were current smokers. The prevalence of long-term EC usage in this study was 82.3%. Most users believed that EC had helped them to cut down tobacco smoking (94.8%), reduced the urge to smoke (88.3%) and ultimately helped them to quit smoking (87.2%). Respondents aged >30 years and those who perceived that EC has helped them stop smoking were significantly more likely to be long-term EC users.

conclusionsMost respondents engaged in EC use to quit smoking. They were more likely to be long-term EC users if they were older and perceived that EC has helped them to quit smoking. This information is valuable for targeted prevention, health promotion and policy regulations.

Indexed as

e-cigarettelong-term e-cigarette usageMalaysiatobacco harm reductionvapers

Identifiers

PMID32292316
PMCPMC7152783

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Registered trials

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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.