Health Education and Health Promotion

en Cognitive and Self-Determination Predictors of Adolescents’ Commitment to Prevent Smartphone Addiction پژوهشی اصیل Original Research Aims: Smartphone addiction among adolescents has become a growing public health concern. This study applied the health promotion model and self-determination theory to identify cognitive and motivational factors associated with adolescents’ commitment to preventing smartphone addiction. Instrument & Methods: This cross-sectional study included 307 senior high school students from five public schools in Malang City, Indonesia, selected using cluster random sampling. Data were collected using validated questionnaires adapted from the health promotion model framework, the Basic Psychological Needs Scale, and the Smartphone Application-Based Addiction Scale. Structural equation modeling using SmartPLS was employed to examine the relationships among perceived barriers, self-efficacy, competence, autonomy, relatedness, and commitment to preventing smartphone addiction. Findings: Competence was the strongest positive predictor of commitment to preventing smartphone addiction (β=0.488; p<0.001), followed by relatedness (β=0.213; p<0.001). Self-efficacy showed a significant negative association with commitment (β=−0.124; p=0.02). In contrast, autonomy (β=0.016; p>0.05) and perceived barriers (β=−0.047; p>0.05) were not significant predictors. The measurement model demonstrated satisfactory validity and reliability, while the structural model showed an acceptable fit (SRMR=0.069) and explained 45.2% of the variance in commitment (R²=0.452). Conclusion: Competence, relatedness, and self-efficacy predict adolescents’ commitment to preventing smartphone addiction, with competence emerging as the strongest predictor.   Smartphone Addiction, Adolescents , Behavior, Addictive, Self-Efficacy, Health Promotion 263 269 http://hehp.daneshafarand.org/browse.php?a_code=A-10-1-143&slc_lang=en&sid=4 R. Alfitri 1003194753284600387925 1003194753284600387925 Yes Department of Public Health, Faculty of Public Health, Airlangga University, Surabaya, Indonesia K. Kuntoro 1003194753284600387926 1003194753284600387926 No Department of Biostatistics and Population Study, Faculty of Public Health, Airlangga University, Surabaya, Indonesia K. Kuntoro 1003194753284600387927 1003194753284600387927 No Department of Biostatistics and Population Study, Faculty of Public Health, Airlangga University, Surabaya, Indonesia M.B. Qomaruddin 1003194753284600387928 1003194753284600387928 No Department of Health Promotion and Behavioral Sciences, Faculty of Public Health, Airlangga University, Surabaya, Indonesia R. Maulina 1003194753284600387929 1003194753284600387929 No Faculty of Health Sciences, Institute Technology Sains and Health R.S. dr Soepraoen, Malang, Indonesia