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This paper is in the following e-collection/theme issue:

Problematic Internet Use, Online Gambling and Game Addiction (356) Mobile Health (mhealth) (5349) mHealth for Wellness, Behavior Change and Prevention (4364) Cross-Sectional Studies in Public Health (1355) Insomnia and Sleep Hygiene (320) Sleep Monitoring, Sleep Quality, Sleep Disorders (367)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77796, first published .
Teenage girl illuminated by smartphone screen at night

Associations Between Both Smartphone Addiction and Objectively Measured Smartphone Use and Sleep Quality and Duration Among University Students: Cross-Sectional Study

Associations Between Both Smartphone Addiction and Objectively Measured Smartphone Use and Sleep Quality and Duration Among University Students: Cross-Sectional Study

Authors of this article:

Jian Yin1 Author Orcid Image ;   Xuanyi Tang2 Author Orcid Image ;   Zeshi Liu1 Author Orcid Image ;   Yangyang Gong1 Author Orcid Image ;   Hui Yang3 Author Orcid Image ;   Yanping Zhang1 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Journals

  1. Ibrohimova Mehrinoz Jamshid qizi . TALABALAR ORASIDA UYQUSIZLIK VA UNING OQIBATLARI. ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ 2026;97(1):65 View
  2. Zhang H, Guo Z, Peng Q. Prevalence of sleep disturbance among chinese college students: an updated meta-analysis. BMC Psychiatry 2026;26(1) View
  3. Elik B, Kocataş S. Relationships between the Smartphone and Internet Addiction Levels of Nursing Students and Their Healthy Lifestyle Behaviors. Turkish Journal of Science and Health 2026;7(2):56 View
  4. Yue W, Cao S, Zhao J, Wang Q, Lai W, Zhang J, Cui Y. Associations of smartphone addiction and physical activity with sleep quality and neck/shoulder symptoms in university students: a cross-sectional study. Frontiers in Public Health 2026;14 View
  5. Liu W, Yuan Z, Li S, Chen Y, Liu H. The chain mediation effect of self-regulation and pre-sleep smartphone use on the relationship between smartphone dependence and bedtime procrastination among college students. Frontiers in Public Health 2026;14 View
  6. Zhan W, Ge J, Wang Y. Nonlinear Dose-Response Association Between Stressful Life Events and Probable Problematic Internet Use Among Chinese College Students: Cross-Sectional Study. Journal of Medical Internet Research 2026;28:e92310 View
  7. Agarwal A, Kalsi R, Mathur M, Bharti A, Gupta A. Smartphone addiction, bedtime procrastination, and sleep quality among medical students: an observational study. Sleep Science and Practice 2026;10(1) View
  8. Zhang S, Zhang X, Yuan S, Yang T, Li L. Smartphone addiction and self-esteem among university students: a moderated mediation and latent profile analysis. Frontiers in Psychiatry 2026;17 View
  9. Zhao W, Go K. Short-Term Emotion Change Prediction With Compact and Informative Mobile Sensing Inputs. IEEE Access 2026;14:149189 View
  10. Fang B, Sun Y, Bai Y, Liu W, Lin R, Xia W. Associations of 24-hour movement behavior composition with depressive symptoms and problematic internet use in Chinese adolescents: A cohort study. Journal of Affective Disorders 2027;416:122605 View
  11. AbdAlgane M, Othman K, Mahmud F, Mohammed A. Investigating Problematic Smartphone Use, Psychological Well-Being, and EFL Learning Outcomes of Tertiary EFL Students. International Journal of Learning Teaching and Educational Research 2026:1152 View
  12. Mao K, He Y, Yin X, Lin L, Zheng Y, Hu G. Behavioral and psychosocial indicators for depression and anxiety risk stratification among college students: development and external validation of a machine-learning-assisted framework. Frontiers in Psychology 2026;17 View
  13. Zhang L, Chen H, Wang D, Zhou H, Zhang M, Hu Y. Refinement and validation of the Short Video Addiction Test (SVAT) using item response theory. Current Psychology 2026;45(21) View
  14. Yen S, Ko H. Evaluating Wearable-Derived Heart Rate, Sleep, and Activity for KSAT-Defined Problematic Smartphone Use: Window-Level versus Participant-Grouped Validation. Computers in Human Behavior Reports 2026:101430 View