ORIGINAL RESEARCH ARTICLE
Sociodemographic differences in awareness of e-cigarette in Malaysia
Received Date : 25 Oct 2018
Accepted Date : 02 Apr 2019
Yong Kang Cheaha,b, Chien Huey Tehc, Hock Kuang Limb
aSchool of Economics, Finance and Banking, College of Business, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darul Aman, Malaysia
bThe Center for Health and the Social Sciences (CHeSS), University of Chicago, 5841 S. Maryland Ave, Chicago, IL, 60637, USA
cInstitute for Medical Research, Jalan Pahang, 50588, Kuala Lumpur, Malaysia
Doi: 10.1016/j.jons.2019.04.001 - Article's Language: EN
Journal of Oncological Sciences 5 (2019) 54-59
ABSTRACT
Aim: Electronic cigarette (e-cigarette) plays an important role in preventing smoking-induced diseases.
However, the majority of people are not aware of e-cigarette. The present study attempts to characterise
awareness of e-cigarette in the overall Malaysian population and to explore its associated factors.
Materials and methods: The data is obtained from the Global Adult Tobacco Survey (GATS). The survey
consists of a large sample size (n ¼ 4176). In order to examine sociodemographic differences in the
likelihood of being aware of e-cigarette, multivariable logistic regressions stratified by ethnic groups are
used.
Results: Age, gender, education, ethnicity and cigarette smoking are independently associated with
awareness of e-cigarette. Older individuals display a lower likelihood of being aware of e-cigarette than
younger individuals (aOR: 0.977). Males are more likely to be aware of e-cigarette than females (aOR:
2.537). A lower likelihood of being aware of e-cigarette is reported by individuals with primary-level
(aOR: 0.173) and secondary-level education (aOR: 0.389). Awareness of e-cigarette is higher among
smokers (aOR: 1.438).
Conclusion: Considering the sociodemographic variations in awareness of e-cigarette, policy makers
should develop an intervention measure in efforts to provide people with more information on ecigarette
with a focus on those who likely to be unaware of e-cigarette.
Keywords: Awareness; e-cigarette; education; ethnicity Smoking
REFERENCES
- World Health Organization. Tobacco Fact Sheet; 2018. http://www.who.int/en/ news-room/fact-sheets/detail/tobacco. Accessed June 25, 2018.
- Lemmens V, Oenema A, Knut IK, Brug J. Effectiveness of smoking cessation interventions among adults: a systematic review of reviews. Eur J Cancer Prev. 2008;17(6):535e544. [Crossref] [PubMed]
- Tashkin DP, Murray RP. Smoking cessation in chronic obstructive pulmonary disease. Respir Med. 2009;103(7):963e974. [Crossref] [PubMed]
- Tashkin DP. Smoking cessation in chronic obstructive pulmonary disease. Semin Respir Crit Care Med. 2015;36(4):491e507. [Crossref] [PubMed]
- Hughes JR, Keely J, Naud S. Shape of the relapse curve and long-term abstinence among untreated smokers. Addiction. 2004;99(1):29e38. [Crossref] [PubMed]
- Fagerstrom K, Eissenberg T. Dependence on tobacco and nicotine products: a case for product-specific assessment. Nicotine Tob Res. 2012;14(11): 1382e1390. [Crossref] [PubMed] [PMC]
- Hartmann-Boyce J, Begh R, Aveyard P. Electronic cigarettes for smoking cessation. BMJ. 2018:360. [Crossref] [PubMed]
- Fagerstrom KO, Bridgman K. Tobacco harm reduction: the need for new products that can compete with cigarettes. Addict Behav. 2014;39(3):507e511. [Crossref] [PubMed]
- Baker RR. Smoke generation inside a burning cigarette: modifying combustion to develop cigarettes that may be less hazardous to health. Prog Energy Combust Sci. 2006;32(4):373e385. [Crossref]
- Farsalinos KE, Polosa R. Safety evaluation and risk assessment of electronic cigarettes as tobacco cigarette substitutes: a systematic review. Ther Adv Drug Saf. 2014;5(2):67e86. [Crossref] [PubMed] [PMC]
- Adriaens K, Gucht DV, Declerck P, Baeyens F. Effectiveness of the electronic cigarette: an eight-week Flemish study with six-month follow-up on smoking reduction, craving and experienced benefits and complaints. Int J Environ Res Public Health. 2014;11(11):11220e11248. [Crossref] [PubMed] [PMC]
- Polosa R, Caponnetto P, Morjaria JB, et al. Effect of an electronic nicotine delivery device (e-Cigarette) on smoking reduction and cessation: a prospective 6-month pilot study. BMC Public Health. 2011;11(786). [Crossref] [PubMed] [PMC]
- Glasser AM, Collins L, Pearson JL, et al. Overview of electronic nicotine delivery systems: a systematic review. Am J Prev Med. 2017;52(2):33e66. [Crossref] [PubMed] [PMC]
- Goh YH, Dujaili JA, Blebil AQ, Ahmed SI. Awareness and use of electronic cigarettes: perceptions of health science programme students in Malaysia. Health Educ J. 2017;76(8):1000e1008. [Crossref]
- Institute for Public Health. Report of the Global Adult Tobacco Survey (GATS) Malaysia 2011. Putrajaya: Ministry of Health Malaysia; 2012.
- StataCorp. Stata Statistical Software: Release 13.1. College Station, TX: Stata Corporation; 2013.
- Carpenter BD, Zoller SM, Balsis S, Otilingam PG, Gatz M. Demographic and contextual factors related to knowledge about Alzheimer's disease. Am J Alzheimers Dis Dement. 2011;26(2):121e126. [Crossref] [PubMed] [PMC]
- Yardley C, Glover C, Allen-Mersh TG. Demographic factors associated with knowledge of colorectal cancer symptoms in a UK population-based survey. Ann R Coll Surg Engl. 2000;82(3):205e209.
- Gelaw SM. Socioeconomic factors associated with knowledge on tuberculosis among adults in Ethiopia. Tuberc Res Treat. 2016;1. Article 6207457. [Crossref] [PubMed] [PMC]
- Mullen E. Health literacy challenges in the aging population. Nurs Forum. 2013;48(4):248e255. [Crossref] [PubMed]
- Cheah YK. The determinants of being cigarette smoker: an exploratory study in Penang, Malaysia. Int J Bus Soc. 2012;13(3):245e254.
- Cheah YK, Naidu BM. Exploring factors influencing smoking behaviour in Malaysia. Asian Pac J Cancer Prev APJCP. 2012;13(4):1125e1130. [Crossref] [PubMed]
- Parmenter K, Waller J, Wardle J. Demographic variation in nutrition knowledge in England. Health Educ Res. 2000;15(2):163e174. [Crossref] [PubMed] [PMC]
- Angeles-Llerenas A, Carbajal-Sanchez N, Allen B, Zamora-Munoz S, Lazcano- Ponce E. Gender, body mass index and socio-demographic variables associated with knowledge about type 2 diabetes mellitus among 13293 Mexican students. Acta Diabetol. 2005;42(1):36e45. [Crossref] [PubMed]
- Cheah YK. Socioeconomic determinants of health enhancing expenditure among the elderly in Malaysia: an ethnic comparison. J Ekon Mal. 2015;49(1): 93e102. [Crossref]
- Siahpush M, McNeill A, Hammond D, Fong GT. Socioeconomic and country variations in knowledge of health risks of tobacco smoking and toxic constituents of smoke: results from the 2002 International Tobacco Control (ITC) Four Country Survey. Tobac Contr. 2006;15(S3). iii65-iii70. [Crossref] [PubMed] [PMC]
- Finney Rutten LJ, Augustson EM, Moser RP, Beckjord EB, Hesse BW. Smoking knowledge and behavior in the United States: sociodemographic, smoking status, and geographic patterns. Nicotine Tob Res. 2008;10(10): 1559e1570. [Crossref] [PubMed]
- Cheah YK, Teh CH, Lim HK. Factors associated with second-hand smoke awareness in Malaysia. Proc Sing Healthcare. 2018;27(3):148e156. [Crossref]
- Steil AK, Lorenzo L, Sydeman SJ. Demographic variables are associated with knowledge, attitudes, and preventive behaviors related to environmental tobacco smoke. Nicotine Tob Res. 2010;12(6):674e678. [Crossref] [PubMed]
- Amirul Islam FM, Chakrabarti R, Islam SZ, Finger RP, Critchley C. Factors associated with awareness, attitudes and practices regarding common eye diseases in the general population in a rural district in Bangladesh: the Bangladesh Population-based Diabetes and Eye Study (BPDES). PLoS One. 2015;10(7). e0133043. [Crossref] [PubMed] [PMC]
- Amin AM, Mostafa H, Sarriff A. Factors associated with the general public knowledge and awareness of cardiovascular diseases and its risk factors in Penang e Malaysia. IOSR J Pharm. 2014;4(6):21e27. [Crossref]
- Van der pol M. Health, education and time preference. Health Econ. 2011;20(8): 917e929. [Crossref] [PubMed]