Use of e-cigarettes among public health students in Thailand: Embedded mixed-methods design.

Sarunya Benjakul, Saroj Nakju, Lakkhana Termsirikulchai
Author Information
  1. Sarunya Benjakul: Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
  2. Saroj Nakju: Faculty of Public Health, Ramkhamhaeng University, Bangkok, Thailand.
  3. Lakkhana Termsirikulchai: Tobacco Control Capacity Building Center, Thai Wellbeing Foundation, Bangkok, Thailand.

Abstract

INTRODUCTION: E-cigarettes are new tobacco products widely used among adolescents. Public health students are not only susceptible to e-cigarette use, but they should also serve as non-smoking role models. The study aimed to investigate the current situation of e-cigarette use and the factors associated with its use among public health students.
METHODS: In this embedded mixed-methods design, the primary approach was a cross-sectional online survey. The samples were 2302 third-year public health students from 37 public health education institutes across Thailand. Stratified two-stage cluster random sampling was employed to select the subjects. Data were collected using self-administered questionnaires from January to March 2021. A checklist form was employed to collect qualitative data about teaching and learning activities related to tobacco control in June 2021. Descriptive statistics were used for data analysis, including inferential statistics regarding logistic regression.
RESULTS: Overall, 3.9% (95% CI: 3.1-4.6) of the students currently used e-cigarettes in the past 30 days. The significant factors that could explain 43.4% of e-cigarette use were predisposing factors: being male (adjusted odds ratio, AOR=1.8; 95% CI: 1.0-3.3), having a neutral attitude toward e-cigarette use (AOR=2.2; 95% CI: 1.1-4.5), and not believing that public health professionals should serve as non-smoking role models for clients and the general public (AOR=2.3; 95% CI: 1.2-4.0). The enabling factor was having tried tobacco products (AOR=40.7; 95% CI: 19.1-87.1), and the reinforcing factor was having three or more close friends who smoke cigarettes (AOR=3.2; 95% CI: 1.8-5.8).
CONCLUSIONS: Students' behaviors should be modified through curriculum-based teaching and learning activities to develop negative attitudes toward e-cigarette smoking, increase students' awareness as non-smoking role models, and establish smoke-free environments.

Keywords

References

  1. Tob Control. 2000 Jun;9(2):136-47 [PMID: 10841849]
  2. Curr Pharm Teach Learn. 2017 Nov;9(6):1003-1009 [PMID: 29233367]
  3. Tob Regul Sci. 2017 Jan;3(1):95-101 [PMID: 28083545]
  4. Curr Addict Rep. 2019 Jun;6(2):98-113 [PMID: 31453046]
  5. MMWR Morb Mortal Wkly Rep. 2021 Oct 01;70(39):1387-1389 [PMID: 34591834]
  6. Psychol Addict Behav. 2016 Feb;30(1):106-12 [PMID: 26618797]
  7. Clin Ter. 2021 Sep 29;172(5):427-434 [PMID: 34625774]
  8. Ann Intern Med. 2010 Nov 2;153(9):607-9 [PMID: 21041581]
  9. Tob Control. 2022 Feb 7;: [PMID: 35131947]
  10. Nicotine Tob Res. 2021 Mar 19;23(4):694-701 [PMID: 31912147]
  11. Pediatrics. 2016 Jul;138(1): [PMID: 27296866]
  12. Psychol Bull. 2017 Oct;143(10):1082-1115 [PMID: 28771020]
  13. BMC Public Health. 2011 Feb 01;11:72 [PMID: 21284864]
  14. Pediatrics. 2016 Sep;138(3): [PMID: 27503349]
  15. BMC Public Health. 2019 Jul 22;19(1):976 [PMID: 31331316]
  16. Clin Ter. 2019 Jul-Aug;170(4):e252-e257 [PMID: 31304511]
  17. BMJ Open. 2014 Feb 18;4(2):e003218 [PMID: 24549158]
  18. Pediatr Blood Cancer. 2005 Jun 15;44(7):614-9 [PMID: 15795881]

Word Cloud

Created with Highcharts 10.0.0healthpublicstudents95%CI:e-cigaretteuse13tobaccousedamongnon-smokingrolemodelsdesigne-cigarettesproductsservefactorsembeddedmixed-methodsemployed2021datateachinglearningactivitiesstatistics1-48towardAOR=22factorINTRODUCTION:E-cigarettesnewwidelyadolescentsPublicsusceptiblealsostudyaimedinvestigatecurrentsituationassociatedMETHODS:primaryapproachcross-sectionalonlinesurveysamples2302third-year37educationinstitutesacrossThailandStratifiedtwo-stageclusterrandomsamplingselectsubjectsDatacollectedusingself-administeredquestionnairesJanuaryMarchchecklistformcollectqualitativerelatedcontrolJuneDescriptiveanalysisincludinginferentialregardinglogisticregressionRESULTS:Overall9%6currentlypast30dayssignificantexplain434%predisposingfactors:maleadjustedoddsratioAOR=10-3neutralattitude5believingprofessionalsclientsgeneral2-40enablingtriedAOR=407191-87reinforcingthreeclosefriendssmokecigarettesAOR=38-5CONCLUSIONS:Students'behaviorsmodifiedcurriculum-baseddevelopnegativeattitudessmokingincreasestudents'awarenessestablishsmoke-freeenvironmentsUseThailand:Embeddedmixed-method

Similar Articles

Cited By