Smartphone Addiction and Sleep Quality on Academic Performance of University Students: An Exploratory Research
Rathakrishnan B, Bikar Singh SS, Kamaluddin MR, Yahaya A, Mohd Nasir MA, Ibrahim F, Ab Rahman Z
International journal of environmental research and public health · 63 citations
How it was studied
- Design
- Cross-sectional study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
Based on full-text disclosure statement.
Publication
- Published
- 2021-08-05 · Int J Environ Res Public Health · vol. 18 · issue 16 · p. 8291
- Publisher
- Multidisciplinary Digital Publishing Institute
- Cited
- 191 citations · more than 100% of similar papers · 41.2× the field average
- Impact
- Top 10% most cited in its field
- References
- 55 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Impact of Technology on Adolescents · COVID-19 and Mental Health · Sleep and related disorders
- Keywords
- smartphone addiction, sleep quality, academic performance, university students, smartphone overuse, student health
- MeSH
- humans, cross-sectional studies, behavior, addictive, sleep, students, universities, smartphone, academic performance, internet addiction disorder
7 authors
From MY
- Balan Rathakrishnan · correspondingUniversiti of Malaysia Sabah
- Soon Singh Bikar SinghUniversiti of Malaysia Sabah
- Mohammad Rahim KamaluddinNational University of Malaysia
- Azizi YahayaUniversiti of Malaysia Sabah
- Mohd Azrin Mohd NasirNorthern University of Malaysia
- Fauziah binti IbrahimNational University of Malaysia
Abstract
This study was conducted to examine the relationship between smartphone addiction, sleep quality, and academic performance. The study presented quantitative research on 323 students in a public university in Sabah to explore the relationship between smartphone addiction, sleep quality, and academic performance. A simple random sampling was used in the study. The Smartphone Addiction Scale Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) were used in this study. SPSS was used as a tool of analysis for descriptive and inferential analysis. Pearson correlation was involved to test the hypothesis of the study. The result indicated that the greater the smartphone addiction, the lower the academic performance of university students. The finding also proved that students with poor sleep quality might exhibit low academic performance. Smartphone addiction was found to be associated with sleep quality where overusing smartphones was related to poor sleep quality in university students. On this basis, the problem of smartphone addiction and sleep quality should be tackled in order to improve the academic performance of university students and their overall health.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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