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Candra, Kintan
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Medicine & Pharmacology Public Health

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Application of Social Cognitive Theory as a Predictor of Quitting E-Cigarette Use among College Students Candra, Kintan; Murti, Bhisma; Novika , Revi Gama Hatta; Prasetya, Hanung; Rahardjo , Setyo Sri
Journal of Health Promotion and Behavior Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.02.10

Abstract

Background: Social Cognitive Theory was selected as the framework of this study because it can be used to explain, prevent, or reduce risky behaviors such as e-cigarette use. This study aimed to analyze and predict the behavior of quitting e-cigarettes through social cognitive theory among students. Subjects and Method: This study was conducted in October-November 2024 with a sample of 200 students. The study was a cross-sectional study with study subjects selected using the fixed disease sampling technique. The dependent variable was the behavior of quitting using e-cigarettes. And the independent variables were knowledge, self-regulation, outcome expectation, self-efficacy, and observational learning. Results: Quitting e-cigarettes was directly influenced by self-efficacy (b= 1.63; CI 95%= 0.93 to 2.33; p< 0.001) and outcome expectation (b= 0.82; CI 95%= 0.15 to 1.50; p= 0.017). Self-efficacy was directly influenced by knowledge (b= 0.94; CI 95%= 0.32 to 1.57; p= 0.003). Likewise, the outcome expectation was influenced by knowledge (b= 0.90; CI 95%= 0.28 to 1.53; p= 0.004). Knowledge was influenced by observational learning (b= 1.28; CI 95%= 0.65 to 1.92; p< 0.001). And self-regulation was influenced by the decision to quit using e-cigarettes (b=0.94; CI 95%= 0.37 to 1.51; p=0.001). Conclusion: This study concludes that constructs in Social Cognitive Theory can be used as a predictor of quitting e-cigarettes.
Application of Social Cognitive Theory as a Predictor of Quitting E-Cigarette Use among College Students Candra, Kintan; Murti, Bhisma; Novika , Revi Gama Hatta; Prasetya, Hanung; Rahardjo , Setyo Sri
Journal of Health Promotion and Behavior Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.02.10

Abstract

Background: Social Cognitive Theory was selected as the framework of this study because it can be used to explain, prevent, or reduce risky behaviors such as e-cigarette use. This study aimed to analyze and predict the behavior of quitting e-cigarettes through social cognitive theory among students. Subjects and Method: This study was conducted in October-November 2024 with a sample of 200 students. The study was a cross-sectional study with study subjects selected using the fixed disease sampling technique. The dependent variable was the behavior of quitting using e-cigarettes. And the independent variables were knowledge, self-regulation, outcome expectation, self-efficacy, and observational learning. Results: Quitting e-cigarettes was directly influenced by self-efficacy (b= 1.63; CI 95%= 0.93 to 2.33; p< 0.001) and outcome expectation (b= 0.82; CI 95%= 0.15 to 1.50; p= 0.017). Self-efficacy was directly influenced by knowledge (b= 0.94; CI 95%= 0.32 to 1.57; p= 0.003). Likewise, the outcome expectation was influenced by knowledge (b= 0.90; CI 95%= 0.28 to 1.53; p= 0.004). Knowledge was influenced by observational learning (b= 1.28; CI 95%= 0.65 to 1.92; p< 0.001). And self-regulation was influenced by the decision to quit using e-cigarettes (b=0.94; CI 95%= 0.37 to 1.51; p=0.001). Conclusion: This study concludes that constructs in Social Cognitive Theory can be used as a predictor of quitting e-cigarettes.
Co-Authors Bhisma Murti Novika , Revi Gama Hatta Prasetya, Hanung Rahardjo , Setyo Sri