The rapidly increasing uptake of e-cigarettes in Malaysia as of late demands a study to identify factors leading to its increased popularity and user intentions to quit smoking e-cigarettes. A convenience sample of e-cigarette smokers visiting e-cigarette retail shops in Selangor and Kuala Lumpur was recruited. The majority of e-cigarette smokers were youth in colleges or universities (39 %), and young professionals and managers (36 %). The main reasons for using e-cigarettes were to help the user quit tobacco cigarettes (88 %), the perception that e-cigarettes are not as intrusive as tobacco cigarettes (85 %) and can be used in public areas (70 %), the perception that e-cigarettes are healthier than tobacco cigarettes (85 %), and its relatively lower cost compared to tobacco cigarettes (65 %). A total of 65.3 % of respondents expressed intentions to quit e-cigarettes. In a multivariate analysis, the respondents who earned monthly income of RM1000 or less were significantly more likely to intend to quit smoking e-cigarettes [OR 1.551; 95 % CI 1.022-2.355; p = 0.015] compared to the respondents who earned a monthly income of more than RM2000. The respondents who disagreed with the statement 'Smoking e-cigs is relatively cheaper compared to tobacco cigarettes' were significantly more likely to intend to quit smoking e-cigarettes [OR 1.548; 95 % CI 1.045-2.293; p = 0.027] compared to respondents who did not agree. e-cigarette preventive interventions should target areas related to the identified main reasons for using e-cigarettes, namely as an aid for quitting tobacco cigarettes, the perception that e-cigarettes are not as intrusive as tobacco cigarettes and can be used in public areas, the idea that e-cigarettes are healthier than tobacco cigarettes, and its relatively lower cost compared to tobacco cigarettes.
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http://dx.doi.org/10.1007/s10900-016-0196-4 | DOI Listing |
Nicotine Tob Res
January 2025
Faculty of Public Health & Policy, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, United Kingdom.
Cochrane Database Syst Rev
January 2025
Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
Background: Electronic cigarettes (ECs) are handheld electronic vaping devices that produce an aerosol by heating an e-liquid. People who smoke, healthcare providers, and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. This is a review update conducted as part of a living systematic review.
View Article and Find Full Text PDFCOVID
October 2024
Department of Epidemiology, University of Washington, Seattle, WA, USA.
Background: People living with HIV (PWH) frequently have co-morbid substance use disorders that may have been impacted by the COVID-19 pandemic. This study examined associations between COVID-related stress and increased substance use among PWH in Washington State.
Methods: Between August 2020 and March 2021, we conducted an online survey of 397 PWH in Western Washington.
Front Commun (Lausanne)
September 2024
Office of Science, Center for Tobacco Products, Silver Spring, MD, United States.
Introduction: On January 2, 2020, the FDA announced a policy focused in part on prioritizing enforcement of flavored (other than tobacco- or menthol-flavored) cartridge-based electronic nicotine delivery systems (ENDS) without premarket authorization.
Methods: We used a query to identify Reddit conversations relevant to the policy from January 2 to May 6, 2020. Our sample included 576 posts (46 posts and 530 accompanying comments).
Prev Med Rep
February 2025
Departments of Medicine, Health, and Society & Sociology, Vanderbilt University, 2201 West End Ave, Nashville, TN 37235, USA.
Introduction: Cigarette smoking is among the largest risk factors for cognitive decline in later life. This study examines the associations between hospitality smoke-free coverage in the US and the prevalence of self-rated cognitive function decline and disparities therein.
Methods: I use the repeated cross-sectional Behavioral Risk Factor Surveillance data collected between 2017 and 2022 from a sample of Americans 45 years and older and estimate logistic regression models predicting self-rated cognitive function decline by calculated smoke-free hospitality coverage in restaurants and bars.
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