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Bhisma Murti
Master’s of Public Health, Sebelas Maret University, Indonesia
Medicine & Pharmacology Public Health

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

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 for Health Screening Utilization among Pre-Marital Couples Fifi Fidyaningrum; Argyo Demartoto; Bhisma Murti; Happy Indri Hapsari; Revi Gama Hatta Novika
Journal of Health Promotion and Behavior Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.02.09

Abstract

Background: Circumstances in the early stages of development have a tremendous impact on a person's risk of developing diseases in adulthood. Numerous diseases can start in childhood and are generated by various traumas in early life, including improper treatment during pregnancy, maternal malnutrition, and maternal disease, one of which is diseases related to reproductive health. Premarital health screening is a series of tests that must be carried out by prospective brides and grooms before marriage, which aims to reduce the burden of inherited diseases by reducing the number of high-risk marriages. This study aimed to analyze the use of health screen­ing among pre-marital couples through the Social Cognitive Theory. Subjects and Method: A cross-sectional study was conducted in Nias, Indonesia, in October-November 2024. A sample of 200 brides and grooms was selected using fixed disease sampling. The data were collected using questionnaire and analyzed using a path analysis. Results: Outcome expectation was positively and indirectly associated with pre-marital health screening (b= 0.58; 95% CI= 0.01 to 1.15; p= 0.046). Knowledge, reinforcement, and observational learning were indirectly associated with pre-marital health screening among pre-marital couples. Conclusion: Social cognitive theory can be used to predict health screening uptake among pre-marital couples.
Implementation of the Health Belief Model as a Predictor of Acupuncture Therapy Adherence in Post-Stroke Patients Efa Yusfi Asrifa; Bhisma Murti; Haryani Saptaningtyas; Hanung Prasetya; Argyo Demartoto; Ika Sumiyarsi Sukamto
Journal of Health Promotion and Behavior Vol. 10 No. 2 (2025)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpb.2025.10.02.11

Abstract

Background: Post-stroke symptoms include limb weakness, paralysis, loss of balance, pain and numbness, memory and cognitive disorders, and urinary and digestive problems. The recovery process in post-stroke patients takes a long time, therefore, the patient needs to adhere to acupuncture therapy for recovery. This study aims to analyze the influence of perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action on acupuncture therapy adherence in post-stroke patients. Subjects and Method: This study was a cross-sectional study conducted in Yogyakarta, from November to December 2024. A total of 205 patients were selected using random sampling. The dependent variable was adherence to acupuncture therapy in post-stroke patients. Independent variables were perceived vulnerability, perceived severity, perceived benefits, perceived benefits, self-efficacy, and cues to action. The data were analyzed using path analysis. Results: Adherence to acupuncture therapy increased with increased perceived susceptibility (b= 1.19; 95% CI= -0.13 to 2.27; p=0.081), perceived severity (b= 2.16; 95% CI= 0.81 to 3.31; p= 0.001), perceived benefits (b= 1.71; 95% CI= 0.98 to 2.45; p<0.001), self-efficacy (b= 0.73; 95% CI= 0.11 to 1.36; p= 0.022) and cues to action (b= 1.77; 95% CI= 1.08 to 2.45; p<0.001). Conclusion: There is a positive relationship between perceived susceptibility, perceived severity, perceived benefits, self-efficacy, and cues to action on adherence to acupuncture therapy in post-stroke patients. The perceived benefits and self-efficacy are a direct influence on adherence to acupuncture therapy in post-stroke patients, while the perceived susceptibility, perceived severity, and cues to action are indirect influences.
Co-Authors Argyo Demartoto Argyo Demartoto Efa Yusfi Asrifa Fifi Fidyaningrum Hanung Prasetya Happy Indri Hapsari Haryani Saptaningtyas Ika Sumiyarsi Sukamto Kintan Candra Revi Gama Hatta Novika Setyo Sri Rahardjo