ปัจจัยทำนายความตั้งใจในการเลิกสูบบุหรี่ไฟฟ้าในวัยผู้ใหญ่ตอนต้น ในเขตกรุงเทพมหานคร

Phachaya Chumnankul; Arpaporn Powwattana; Surintorn Kalampakorn

Authors

Phachaya Chumnankul Department of Public Health Nursing, Faculty of Public Health, Mahidol University
Arpaporn Powwattana Department of Public Health Nursing, Faculty of Public Health, Mahidol University
Surintorn Kalampakorn Department of Public Health Nursing, Faculty of Public Health, Mahidol University

Keywords:

e-cigarettes, young adults, theory of planned behavior

Abstract

Introduction: Young adults is the age where e-cigarettes are used the most. However, there is currently a limited study of predictive factors of intention to quit e-cigarettes among young adults in Thailand. Therefore, the theory of planned behavior was applied as a conceptual framework for this study.

Research objectives: This study aimed to study the intention to quit e-cigarettes and predictors of intention to quit e-cigarettes among young adults in Bangkok.

Research methodology: This predictive study had a sample of 374 Bangkok e-cigarette users aged 18–35, selected by the snowball technique. Data were collected using self-administered online questionnaires for 4 weeks and analyzed using descriptive statistics, Chi–square test, Pearson’s product moment correlation coefficient and stepwise multiple regression analysis.

Results: More than half of the sample had high intention to quit e-cigs (55.6%). Stepwise multiple regression showed that perceived behavioral control, stress, income, attitude towards e-cigarettes cessation, education level, and frequency of using e-cigarettes could collectively predict 56.1% of intention to quit e-cigarettes (p-value < .05).

Conclusion: The theory of planned behavior and personal factors can collectively predict young adults' e-cigarettes cessation. Perceived behavioral control, stress, income, attitude towards e-cigarettes cessation, education level, and frequency of using e-cigarettes might lead to quitting e-cigarettes.

Implications: The predictive factors found in this study should be taken into account when developing any e-cigarettes quit program in order to increase the likelihood of e-cigarettes cessation among young adults.

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