Predictive Ability of Addiction to Short Video Clips (Reels) in Sleep Quality among University Students

Authors

DOI:

https://doi.org/10.35516/Edu.2025.12874

Keywords:

Short-video Dependence, sleep quality, university students

Abstract

Objectives: This study aimed to identify the level of addiction to short video clips, sleep quality, and the relative contribution of addiction to short video clips (Reels) in predicting sleep quality among university students.

Methods: A descriptive–predictive approach was used. The sample consisted of 351 male and female students from Al al-Bayt University selected through convenience sampling. To achieve the study objectives, the Short Video Dependence Scale developed by Jiang et al. (2025) and the Sleep Quality Scale developed by Yi et al. (2006) were administered.

Results: The findings showed that the overall level of addiction to short video clips was average across all dimensions, and sleep quality was also at an average level. The predictive variables—addiction to short video clips and its dimensions, in addition to daily internet use—explained 44.3% of the variance in sleep quality. The “deception and escape” dimension explained 32.1% of the variance, daily internet use explained 4.9%, “preoccupation and persistence” explained 3.3%, “harm and disability” explained 3.1%, and “withdrawal and tolerance” explained 0.8%. Gender and college did not significantly explain variance in sleep quality.

Conclusions: The study recommends implementing strategies to reduce online deception and escapism through awareness programs, promoting healthy internet habits, encouraging regular breaks, and reviewing digital activities to support better coping and more balanced usage.

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Published

2025-12-24

How to Cite

Al-Adamat, O. A. A., & Bani Khalid, A. M. S. (2025). Predictive Ability of Addiction to Short Video Clips (Reels) in Sleep Quality among University Students. Dirasat: Educational Sciences, 53(2), 12874. https://doi.org/10.35516/Edu.2025.12874

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Section

Educational Psychology
Received 2025-08-18
Accepted 2025-11-23
Published 2025-12-24