| Abstract |
【Abstract】Objective：This study investigates the impact of mobile phone addiction and anxiety-depression levels on college students' sleep quality through a decision tree modelMethods：In May 2025, 325 college students were selected as research subjects and surveyed using the Mobile Phone Addiction Tendencies Scale (MPATS),the Patient Health Questionnaire Depression Scale (PHQ-9), the Generalized Anxiety Disorder Scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI), MPATS and PSQI are used to assess mobile phone addiction and sleep quality respectively, while PHQ-9, collectively known as the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS), evaluates depressive and anxiety symptoms. Additionally, patients' age, gender, type of education (humanities or science), and grade level are investigated. Result：The MPATS, PHQ-ADS, and PSQI scores are (41.43 ± 10.35), (15.41±3.34), and (6.59 ± 1.72), respectively. Under demographic divisions based on gender, arts and science major, and grade, there were no significant differences in MPATS, PHQ-ADS, and PSQI scores (P > 0.05). Pearson analysis revealed a positive correlation between MPATS scores and PHQ-ADS and PSQI scores (r = 0.480, 0.415, P < 0.05), as well as a positive correlation between PHQ-ADS scores and PSQI scores (r = 0.486, P < 0.05). The Moderler data mining software's automatic classifier model was employed to evaluate factors influencing students' sleep disorders. The results showed that the top three models in accuracy were C5.1 decision tree model, neural network, and Bayesian network models, with accuracies of 73.846%,70.462%, and 70.154% respectively. The C5.1 decision tree model revealed that increased age and heightened levels of depression and anxiety are associated with higher risks of sleep disorders among college students, with males showing greater susceptibility to sleep issues during mild depressive or anxious states.Conclusion:Mobile phone addiction and anxiety and depression levels have a significant impact on the sleep quality of college students. The evaluation results based on the decision tree model show that age, depression and anxiety levels are important factors affecting the sleep quality of college students, among which male college students are more prone to sleep problems in mild depression and anxiety.
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