Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data.
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| Title: | Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data. |
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| Authors: | Alam, Aftab, Al-Shakhsi, Sameha, Al-Thani, Dena, Ali, Raian |
| Source: | Behaviour & Information Technology. Jun2025, Vol. 44 Issue 10, p2170-2185. 16p. |
| Subjects: | Behavior disorders, Internet addiction, Pearson correlation (Statistics), Mobile apps, Digital technology, Smartphones, Cronbach's alpha, Mental health, Research funding, Multiple regression analysis, Questionnaires, Sex distribution, Screen time, Internet, Age distribution, Descriptive statistics, Sleep duration, Sleep, Sleep deprivation, Circadian rhythms, Sleep quality, Data analysis software, Confidence intervals |
| Geographic Terms: | Australia, Canada, France, India, United States, Germany, United Kingdom, Netherlands, Brazil, Sweden |
| Abstract: | Objective: Existing research reporting an association between smartphone usage and sleep quality has often utilised subjective self-reported smartphone usage and sleep data. This paper aims to study the associations of objectively collected smartphone near-bedtime usage and problematic internet usage (PIU) with parameters of sleep quality. Methods: The dataset had 269 (55% Female, 55.13% Adults) participants. From the acquired usage data, the daily averages of sleep duration, sleep distraction, and smartphone usage two hours before sleep were extracted. Results: The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. Conclusion: Longer duration of smartphone usage before sleep and higher PIU were associated with reduced sleep duration and continuity. PIU predicted the possibility of getting distracted while usage before sleep predicted the distraction duration. Our results confirm and elaborate on concerns about technology overuse near bedtime and call for specialised interventions to help healthier technology design and usage styles. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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