The relationship between smartphone usage and sleep quality among university students: a cross-sectional study

Excessive and poorly timed smartphone use has raised growing concerns about sleep health, particularly among university students. This study examines the relationship between smartphone usage behaviors and sleep quality among university students in Bangladesh, focusing on daily usage duration, bedtime smartphone use, and night-time notifications. A cross-sectional design was employed, with data collected from 402 students using a structured online questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), and smartphone usage was assessed through self-reports. Bedtime smartphone use was significantly associated with poorer sleep quality (β = 0.732, p = 0.001), while daily usage duration showed a weaker but statistically significant correlation with global PSQI scores (r = 0.2200, p < 0.001). Night-time notifications were not a significant predictor (β = 0.321, p = 0.068). Multivariate analyses confirmed that the timing of smartphone use, particularly before bedtime, is a stronger determinant of sleep disturbance than overall daily exposure. These findings highlight the need for digital health interventions targeting evening smartphone engagement to improve sleep outcomes among university students. Future research should employ longitudinal designs and objective measures to establish causal pathways between smartphone behaviors and sleep quality.

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Publication Details

Journal
Scientific Reports
Published
2026-05-22
DOI
https://doi.org/10.1038/s41598-026-54242-4
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
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article

The relationship between smartphone usage and sleep quality among university students: a cross-sectional study

Ateeq Ur Rehman Butt, Abdulrahman Mohammed Alamoudi, Md. Jahangir Hossain, Jannatul Islam et al.
Scientific Reports
Impact of Technology on Adolescents
article

The relationship between smartphone usage and sleep quality among university students: a cross-sectional study

Ateeq Ur Rehman Butt, Abdulrahman Mohammed Alamoudi, Md. Jahangir Hossain, Jannatul Islam, Mohamad Khairi Ishak, Farhana Yasmin
article en

Abstract

Excessive and poorly timed smartphone use has raised growing concerns about sleep health, particularly among university students. This study examines the relationship between smartphone usage behaviors and sleep quality among university students in Bangladesh, focusing on daily usage duration, bedtime smartphone use, and night-time notifications. A cross-sectional design was employed, with data collected from 402 students using a structured online questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), and smartphone usage was assessed through self-reports. Bedtime smartphone use was significantly associated with poorer sleep quality (β = 0.732, p = 0.001), while daily usage duration showed a weaker but statistically significant correlation with global PSQI scores (r = 0.2200, p < 0.001). Night-time notifications were not a significant predictor (β = 0.321, p = 0.068). Multivariate analyses confirmed that the timing of smartphone use, particularly before bedtime, is a stronger determinant of sleep disturbance than overall daily exposure. These findings highlight the need for digital health interventions targeting evening smartphone engagement to improve sleep outcomes among university students. Future research should employ longitudinal designs and objective measures to establish causal pathways between smartphone behaviors and sleep quality.

Scientific Reports
State University of Bangladesh (BD), Morpho (United States) (US), Dhaka International University (BD), University of Sharjah (AE), University of Jeddah (SA), Maharaja Ranjit Singh Punjab Technical University (IN)
Quality Education
Openalex Percentile: Top 4%
Impact of Technology on Adolescents
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The relationship between smartphone usage and sleep quality among university students: a cross-sectional study — Ateeq Ur Rehman Butt, Abdulrahman Mohammed Alamoudi, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS