Digital Detox and Physical Activity: Enhancing Sleep Quality in University Student

Excessive smartphone use among university students, driven by activities such as social media engagement and online content consumption, has raised concerns about its impact on sleep quality. This study examines how reducing smartphone use and increasing physical activity affect sleep quality and daytime fatigue in this population. A single-group pretest-posttest quasi-experimental approach was utilized, involving a convenience sample of university students (mean age: 19.83±1.39 years, BMI: 22.56±3.29). The data for this study were obtained through the administration of the Personal Information Form, the Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Epworth Sleepiness Scale (ESS). The intervention reduced daily smartphone use by 30 minutes and increased physical activity by five minutes over one week. Following the intervention, notable improvements were observed in all subdimensions of the PSQI (p

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Publication Details

Journal
Turkish Journal of Mathematics and Computer Science
Published
2026-02-23
DOI
https://doi.org/10.47000/tjmcs.1778970
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
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article

Digital Detox and Physical Activity: Enhancing Sleep Quality in University Student

Turkish Journal of Mathematics and Computer Science
Impact of Technology on Adolescents
article

Digital Detox and Physical Activity: Enhancing Sleep Quality in University Student

article en

Abstract

Excessive smartphone use among university students, driven by activities such as social media engagement and online content consumption, has raised concerns about its impact on sleep quality. This study examines how reducing smartphone use and increasing physical activity affect sleep quality and daytime fatigue in this population. A single-group pretest-posttest quasi-experimental approach was utilized, involving a convenience sample of university students (mean age: 19.83±1.39 years, BMI: 22.56±3.29). The data for this study were obtained through the administration of the Personal Information Form, the Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Epworth Sleepiness Scale (ESS). The intervention reduced daily smartphone use by 30 minutes and increased physical activity by five minutes over one week. Following the intervention, notable improvements were observed in all subdimensions of the PSQI (p

Turkish Journal of Mathematics and Computer ScienceVol. 18(1)
Selçuk University (TR), Konya Technical University (TR)
Openalex Percentile: Top 52%
Impact of Technology on Adolescents
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