Tarbiat Modares University (TMU) Health Education and Health Promotion 2588-5715 14 2 2026 04 01 Cognitive and Self-Determination Predictors of Adolescents’ Commitment to Prevent Smartphone Addiction 263 269 29150 10.58209/hehp.14.2.263 EN R. Alfitri Department of Public Health, Faculty of Public Health, Airlangga University, Surabaya, Indonesia 0000-0001-8774-240X K. Kuntoro Department of Biostatistics and Population Study, Faculty of Public Health, Airlangga University, Surabaya, Indonesia 0000-0002-0166-2394 M.B. Qomaruddin Department of Health Promotion and Behavioral Sciences, Faculty of Public Health, Airlangga University, Surabaya, Indonesia 0000-0002-5724-6058 R. Maulina Faculty of Health Sciences, Institute Technology Sains and Health R.S. dr Soepraoen, Malang, Indonesia 0000-0001-8207-6284 Journal Article 2026 06 11 <strong><span lang="EN-ID">Aims:</span></strong><span lang="EN-ID"> </span><span lang="EN-ID">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. </span> <strong><span lang="EN-ID">Instrument & Methods:</span></strong><span lang="EN-ID"> </span><span lang="EN-ID">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. </span> <strong><span lang="EN-ID">Findings:</span></strong><span lang="EN-ID"> 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). </span> <strong><span lang="EN-ID">Conclusion:</span></strong><span lang="EN-ID"> </span><span>Competence, relatedness, and self-efficacy predict adolescents’ commitment to preventing smartphone addiction, with competence emerging as the strongest predictor.</span> https://hehp.modares.ac.ir/article_29150_9cba846441c5201d7e1e844139678c0f.pdf