Clinical Report: Analysis of Smartphone Addiction and Contributing Factors
Overview
This study developed a risk prediction model for smartphone addiction among college students using XGBoost, identifying key factors such as loneliness and income.
Background
Smartphone addiction is a behavioral disorder that significantly impairs daily functioning and well-being, particularly among college students. With a high prevalence rate, it poses a public health concern.
Data Highlights
The prevalence of smartphone addiction was approximately 22.24% among 2,761 college students surveyed.
Key Findings
The XGBoost model identified loneliness as the most significant predictor of smartphone addiction (0.437).
Monthly household income was ranked second in importance (0.067).
Age and place of residence were also identified as contributing factors (0.056 each).
Smartphone addiction is recognized as a form of behavioral addiction, impacting mental health and daily functioning.
Existing studies have primarily relied on conventional regression models, which may limit predictive accuracy.
Clinical Implications
University educators and administrators should prioritize addressing factors such as loneliness and income in their strategies to combat smartphone addiction. Routine screening for problematic smartphone use may help identify high-risk individuals and facilitate the development of personalized intervention strategies.
Conclusion
Smartphone addiction among college students is a significant concern.
