Poor Sleep Quality, Mobile Phone Addiction, and Depressive Symptoms Among College Students: A Three-Wave Longitudinal Study.

IF 2 3区医学 Q3 CLINICAL NEUROLOGY

Behavioral Sleep Medicine Pub Date : 2026-03-01 Epub Date: 2025-10-21 DOI:10.1080/15402002.2025.2569375

Tongyan Deng, Weiqiang Yu, Yu Liu, Shuqin Li, JingYi Xu, Yifan Wang, Rui Wang, Xianbing Song, Tian Xing, Yuhui Wan

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Abstract

Background: This study employed a multilevel autoregressive mediation model to clarify the longitudinal role of poor sleep quality in the association between mobile-phone addiction and depressive symptoms among Chinese college students.

Methods: 3,662 freshmen (976 Male/2,686 Female) from two Anhui colleges were assessed at T₁ (November 2019, N = 4,211), T₂ (May 2020, N = 4,193) and T₃ (November 2020, N = 3,662) for sleep quality, mobile-phone addiction and depressive symptoms.

Results: Correlation analysis revealed significant associations between smartphone addiction (β = 0.493, 0.391, p <0.001), sleep problems (β = 0.336, 0.318, p <0.001), and depressive symptoms (β = 0.488, 0.431, p <0.001) across T1, T2 and T3 . Positive associations were observed between smartphone addiction and both sleep problems and depressive symptoms (β = 0.343, 0.329 at T1; β = 0.381, 0.402 at T2; β = 0.315, 0.261 at T3; all p < 0.001). A simple mediation model revealed that poor sleep quality partially mediated the association between mobile phone addiction and depressive symptoms among college students (indirect effect β = 0.0505, p < 0.001; total effect β = 0.237, p < 0.001). The multilevel autoregressive mediation model further confirmed that poor sleep quality partially mediated this association (indirect effect β = 0.002, p < 0.05; total effect β = 0.047, p < 0.001).

Conclusion: This study underscores poor sleep quality as a critical mediating factor in the long-term relationship between mobile phone addiction and depressive symptoms among Chinese college students.

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大学生睡眠质量差、手机成瘾和抑郁症状：一项三波纵向研究

背景：本研究采用多层次自回归中介模型来阐明睡眠质量差在中国大学生手机成瘾与抑郁症状关联中的纵向作用。方法：在T1（2019年11月，N = 4,211）、T2（2020年5月，N = 4,193）和T3（2020年11月，N = 3,662）对安徽省两所高校的3,662名新生（男976人/女2,686人）进行睡眠质量、手机成瘾和抑郁症状评估。结果：相关分析显示，智能手机成瘾与青少年之间存在显著相关性（T1时β = 0.493、0.391,p β = 0.336、0.318,p β = 0.488、0.431,p β = 0.343、0.329，T2时β = 0.381、0.402，T3时β = 0.315、0.261，均p < 0.001）。一个简单的中介模型显示，睡眠质量差在手机成瘾与大学生抑郁症状之间存在部分中介作用（间接效应β = 0.0505, p < 0.001；总效应β = 0.237, p < 0.001）。多层次自回归中介模型进一步证实，睡眠质量差部分介导了这种关联（间接效应β = 0.002, p < 0.05；总效应β = 0.047, p < 0.001）。结论：本研究强调睡眠质量差是中国大学生手机成瘾与抑郁症状长期关系的重要中介因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Behavioral Sleep Medicine CLINICAL NEUROLOGY-PSYCHIATRY

CiteScore

7.20

自引率

3.20%

发文量

审稿时长

>12 weeks

期刊介绍： Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.