Perceptions and use of e-cigarettes among young adults in Hong Kong.

Nan Jiang, Charles M Cleland, Man Ping Wang, Antonio Kwong, Vienna Lai, Tai Hing Lam
Author Information
  1. Nan Jiang: Department of Population Health, School of Medicine, New York University, 180 Madison Ave, 17th Floor, New York, NY, 10016, USA. Nan.Jiang2@nyulangone.org. ORCID
  2. Charles M Cleland: Department of Population Health, School of Medicine, New York University, 180 Madison Ave, 17th Floor, New York, NY, 10016, USA.
  3. Man Ping Wang: School of Nursing, The University of Hong Kong, 4/F William MW Mong Block, 21 Sassoon Road, Pok Fu Lam, Hong Kong.
  4. Antonio Kwong: Hong Kong Council on Smoking and Health, 4402-03, 44/F, Hopewell Centre, 183 Queen's Road East, Wan Chai, Hong Kong, Hong Kong.
  5. Vienna Lai: Hong Kong Council on Smoking and Health, 4402-03, 44/F, Hopewell Centre, 183 Queen's Road East, Wan Chai, Hong Kong, Hong Kong.
  6. Tai Hing Lam: School of Public Health, The University of Hong Kong, G/F, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong.

Abstract

BACKGROUND: Little is known about the risk and addiction perceptions of e-cigarettes among Asian populations. We examined e-cigarette perceptions among young adults in Hong Kong and the association between the perceptions and e-cigarette use patterns.
METHODS: An online survey was administered to a convenience sample of Hong Kong residents aged 18-35 (N = 1186). Measures of e-cigarette perceptions included perceived harm and addictiveness of e-cigarettes, perceived harm of secondhand e-cigarette aerosol, and perceived popularity of e-cigarette use among peers. Separate multinomial logistic regression models were conducted to examine the associations between the four perceptions and former and current use of e-cigarettes relative to never use, controlling for demographics and current cigarette smoking status. Interactions of e-cigarette perceptions and current cigarette smoking were assessed in all models. Among current e-cigarette users, bivariate exact logistic regression models were used to examine the relationships between each of the perceptions and frequent e-cigarette use (≥3 days in past 30-day vs. 1-2 days). Among participants who had never used e-cigarettes, separate multivariable logistic regression models were conducted to examine the associations between e-cigarette perceptions and susceptibility to e-cigarette use.
RESULTS: Overall, 97.2% of participants were aware of e-cigarettes, and 16.1% had tried e-cigarettes (11.3% former users; 4.8% current users). Young adults perceived e-cigarettes (and aerosol) as less harmful, less addictive, and less popular than cigarettes. Current cigarette smokers reported significantly lower perceived harmfulness and addictiveness of e-cigarettes, lower perceived harmfulness of e-cigarette aerosol, and higher perceived popularity than nonsmokers. The lower degree of harm and addiction perceptions, and higher levels of popularity perceptions were associated with greater odds of e-cigarette use, and these relationships were generally stronger among nonsmokers compared to current cigarette smokers. E-cigarette perceptions were not associated with frequent e-cigarette use. Perceiving e-cigarettes (and aerosol) as less harmful and less addictive were associated with greater susceptibility to e-cigarette use. Compared to nonsmokers, current smokers were more likely to report e-cigarette use and susceptibility.
CONCLUSIONS: Continued monitoring of e-cigarette use and perceptions is needed. Educational programs should emphasize the potential harmful and addictive properties of e-cigarettes and the risks of secondhand exposure to e-cigarette aerosol.

Keywords

References

  1. Am J Public Health. 2013 Mar;103(3):556-61 [PMID: 23327246]
  2. Am J Prev Med. 2013 Mar;44(3):207-15 [PMID: 23415116]
  3. Nicotine Tob Res. 2014 May;16(5):519-26 [PMID: 24212764]
  4. Am J Prev Med. 2014 Feb;46(2):175-8 [PMID: 24439352]
  5. Subst Use Misuse. 2015 Jan;50(1):79-89 [PMID: 25268294]
  6. Int J Environ Res Public Health. 2014 Oct 03;11(10):10345-61 [PMID: 25286168]
  7. Am J Health Behav. 2015 Jan;39(1):121-31 [PMID: 25290604]
  8. Nicotine Tob Res. 2015 Oct;17(10):1195-202 [PMID: 25381306]
  9. Drug Alcohol Depend. 2015 Apr 1;149:25-30 [PMID: 25666362]
  10. Health Educ Behav. 2016 Jun;43(3):328-36 [PMID: 26304709]
  11. Addict Behav. 2016 Jan;52:34-8 [PMID: 26348280]
  12. Drug Alcohol Depend. 2015 Dec 1;157:106-11 [PMID: 26507173]
  13. Int J Environ Res Public Health. 2016 Jan 12;13(1):null [PMID: 26771624]
  14. Am J Health Behav. 2016 Nov;40(6):761-770 [PMID: 27779944]
  15. J Am Coll Health. 2017 Feb-Mar;65(2):103-111 [PMID: 27805472]
  16. JAMA. 2016 Nov 8;316(18):1918-1920 [PMID: 27825000]
  17. Am J Prev Med. 2017 Feb;52(2):e33-e66 [PMID: 27914771]
  18. Nicotine Tob Res. 2017 Dec 13;20(1):140-144 [PMID: 28035000]
  19. Psychol Addict Behav. 2017 May;31(3):336-342 [PMID: 28125242]
  20. Int J Environ Res Public Health. 2017 Mar 14;14(3): [PMID: 28335449]
  21. BMJ Open. 2017 Mar 27;7(3):e014263 [PMID: 28348191]
  22. J Health Commun. 2017 Jun;22(6):497-505 [PMID: 28441095]
  23. Int J Environ Res Public Health. 2017 Jun 30;14(7): [PMID: 28665333]
  24. MMWR Morb Mortal Wkly Rep. 2017 Aug 25;66(33):892 [PMID: 28837550]
  25. JAMA Pediatr. 2017 Dec 1;171(12):1192-1199 [PMID: 29059261]
  26. Addict Behav. 2018 Apr;79:219-225 [PMID: 29175027]
  27. Health Commun. 2019 Mar;34(3):298-305 [PMID: 29236549]
  28. Int J Environ Res Public Health. 2018 Jan 01;15(1): [PMID: 29301254]
  29. Asian Pac J Cancer Prev. 2018 Feb 26;19(2):457-462 [PMID: 29480664]
  30. Addict Behav. 2018 Jul;82:79-85 [PMID: 29501011]
  31. Nicotine Tob Res. 2018 Jul 9;20(8):940-948 [PMID: 29986104]
  32. Prev Med. 2019 Jan;118:66-72 [PMID: 30315847]
  33. Health Educ Behav. 2019 Apr;46(2):275-285 [PMID: 30606077]

MeSH Term

Adolescent
Adult
Attitude to Health
Female
Health Surveys
Hong Kong
Humans
Male
Risk Assessment
Vaping
Young Adult

Word Cloud

Created with Highcharts 10.0.0e-cigaretteperceptionsusee-cigarettesperceivedcurrentamongaerosollessmodelscigaretteadultsHongKongharmpopularitylogisticregressionexamineuserssusceptibilityharmfuladdictivesmokerslowernonsmokersassociatedaddictionyoungaddictivenesssecondhandconductedassociationsformerneversmokingAmongusedrelationshipsfrequentparticipantsYoungcigarettesharmfulnesshighergreaterPerceptionsBACKGROUND:LittleknownriskAsianpopulationsexaminedassociationpatternsMETHODS:onlinesurveyadministeredconveniencesampleresidentsaged18-35N = 1186MeasuresincludedpeersSeparatemultinomialfourrelativecontrollingdemographicsstatusInteractionsassessedbivariateexact≥3 dayspast30-dayvs1-2 daysseparatemultivariableRESULTS:Overall972%aware161%tried113%48%popularCurrentreportedsignificantlydegreelevelsoddsgenerallystrongercomparedE-cigarettePerceivingComparedlikelyreportCONCLUSIONS:ContinuedmonitoringneededEducationalprogramsemphasizepotentialpropertiesrisksexposureElectronicSmokingSocialnormsSusceptibilityadult

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