Cognitive and Self-Determination Predictors of Adolescents’ Commitment to Prevent Smartphone Addiction

Alfitri, R.; Kuntoro, K.; Qomaruddin, M.B.; Maulina, R.

doi:10.58209/hehp.14.2.263

Cognitive and Self-Determination Predictors of Adolescents’ Commitment to Prevent Smartphone Addiction

Document Type : Original Research

Authors

R. Alfitri ¹

K. Kuntoro ²

M.B. Qomaruddin ³

R. Maulina ⁴

¹ Department of Public Health, Faculty of Public Health, Airlangga University, Surabaya, Indonesia

² Department of Biostatistics and Population Study, Faculty of Public Health, Airlangga University, Surabaya, Indonesia

³ Department of Health Promotion and Behavioral Sciences, Faculty of Public Health, Airlangga University, Surabaya, Indonesia

⁴ Faculty of Health Sciences, Institute Technology Sains and Health R.S. dr Soepraoen, Malang, Indonesia

10.58209/hehp.14.2.263

Abstract

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.

Keywords

Smartphone Addiction

Adolescents

Behavior, Addictive

Self-Efficacy

Health Promotion

Subjects

Health Education and Health Behavior

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