Clinical Scorecard: Analysis of Smartphone Addiction and Contributing Factors in College Students: An Interpretable Approach

At a Glance

Key Highlights

• Prevalence of smartphone addiction among college students is approximately 22.24%.
• Key predictors include loneliness, monthly household income, age, and place of residence.
• XGBoost algorithm used for risk prediction and feature importance ranking.

Guideline-Based Recommendations

Diagnosis

• Utilize the Smartphone Addiction Scale-Short Version (SAS-SV) for assessment.

Management

• Implement routine screening for problematic smartphone use.

Monitoring & Follow-up

• Develop personalized intervention strategies based on individual risk profiles.

Risks

• Prolonged excessive smartphone use linked to poor sleep quality and elevated depressive symptoms.

Patient & Prescribing Data

College students in China.

Focus on addressing loneliness and financial factors as part of intervention strategies.

Clinical Best Practices

• Prioritize factors with strong statistical associations to smartphone addiction in interventions.
• Encourage educators to facilitate early identification of high-risk individuals.

Related Resources & Content

• Smartphone Addiction Scale-Short Version
• UCLA Loneliness Scale