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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.
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]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: 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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  Data: 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 &lt; 0.001) and smartphone usage two hours before sleep (β = −0.246, p &lt; 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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  Data: &lt;i&gt;Copyright of Behaviour &amp; Information Technology is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/0144929X.2023.2279648
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 2170
    Subjects:
      – SubjectFull: Behavior disorders
        Type: general
      – SubjectFull: Internet addiction
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Mobile apps
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Smartphones
        Type: general
      – SubjectFull: Cronbach's alpha
        Type: general
      – SubjectFull: Mental health
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Screen time
        Type: general
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Age distribution
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Sleep duration
        Type: general
      – SubjectFull: Sleep
        Type: general
      – SubjectFull: Sleep deprivation
        Type: general
      – SubjectFull: Circadian rhythms
        Type: general
      – SubjectFull: Sleep quality
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Australia
        Type: general
      – SubjectFull: Canada
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      – SubjectFull: Germany
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      – SubjectFull: United Kingdom
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      – SubjectFull: Netherlands
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      – SubjectFull: Brazil
        Type: general
      – SubjectFull: Sweden
        Type: general
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      – TitleFull: 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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              M: 06
              Text: Jun2025
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