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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67043
Volume:
10 |
8 |
Aug 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

UG Department of Commerce CA
NGM College
The contemporary digital landscape has transformed adolescent lifestyle patterns, making electronic media an integral part of daily life. This cross-sectional study examined the relationship among screen-time exposure, sleep disturbances, and academic performance among 193 adolescents aged 12–18 years. Data were collected through a structured questionnaire and analysed using factor and correlation analysis. Principal Component Analysis with Varimax rotation identified four dimensions of sleep-related effects: Sleep Duration and Timing Disturbance, Perceived Sleep Impact and Daytime Consequences, Sleep Deprivation and Irregular Sleep Pattern, and Sleep-Related Fatigue and Pre-Sleep Difficulty. These factors collectively explained 63.179% of the total variance. The KMO value of 0.851 and significant Bartlett’s test (χ² = 954.926, df = 91, p < 0.001) confirmed the suitability of the data for factor analysis. Correlation analysis revealed significant positive relationships among academic-performance indicators. Concentration was significantly associated with study focus (r = 0.542, p < 0.001), assignment completion (r = 0.425, p < 0.001), examination recall (r = 0.243, p = 0.001), and active participation (r = 0.364, p < 0.001). The findings emphasise the importance of healthy screen-use practices and adequate sleep in supporting adolescents’ academic engagement and learning.
KEYWORDS
The study concludes that night-time screen use is associated with several sleep-related concerns, including delayed bedtime, reduced sleep duration, sleep interruption, insufficient sleep, irregular sleep schedules, fatigue, and daytime sleepiness. The factor analysis identified four underlying dimensions Sleep Duration and Timing Disturbance, Perceived Sleep Impact and Daytime Consequences, Sleep Deprivation and Irregular Sleep Pattern, and Sleep-Related Fatigue and Pre-Sleep Difficulty which together explained 63.179% of the total variance. The findings highlight the importance of responsible night-time digital-device use and consistent sleep practices, suggesting that reducing excessive screen exposure before and during bedtime may contribute to better sleep experiences and improved daytime functioning.
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Publication Date
8/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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