Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightLongitudinal studies are needed to clarify causality.
📌 3 Maddede Bu Makale
Abstract
Aims: This study evaluated the relationships between internet addiction, appetite-related eating behavior subdimensions, physical activity level, and anthropometric indicators among university students. Methods: In this cross-sectional study conducted between December 2025 and February 2026, 512 undergraduate students aged 19-30 years were recruited via online data collection. Internet addiction was assessed using the Young Internet Addiction Test-Short Form (YIAT-SF), eating behaviors using the Adult Eating Behavior Questionnaire (AEBQ), and physical activity using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). Self-reported anthropometric data were used to calculate body-mass index (BMI) and waist-to-hip ratio (WHR). Pearson correlation and multiple linear regression analyses were performed. Results: Internet addiction scores were positively correlated with food responsiveness (r=0.425), emotional overeating (r=0.374), hunger (r=0.472), BMI (r=0.272), and WHR (r=0.190) (all p<0.01). In regression analysis, hunger (β=0.203), food responsiveness (β=0.189), emotional overeating (β=0.132), BMI (β=0.113), and physical activity level (β=0.105) significantly associated with internet addiction (p<0.05). Students from non-health-related departments had higher food fussiness, hunger, BMI, and internet addiction scores than health sciences students (p<0.05). Conclusion: Internet addiction was significantly associated with appetite-related eating behaviors and selected anthropometric indicators (BMI and WHR). These findings suggest a potential association between digital lifestyle patterns and dietary behaviors as well as metabolic health in young adults. University-based interventions integrating healthy digital use and eating behavior awareness may be warranted. Longitudinal studies are needed to clarify causality.