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Mobile DNA and Sleep Quality

Author

Listed:
  • Amez, Simon

    (Ghent University)

  • Denecker, Floor

    (Ghent University)

  • Ponnet, Koen

    (Ghent University)

  • De Marez, Lieven

    (Ghent University)

  • Baert, Stijn

    (Ghent University)

Abstract

Previous studies have demonstrated a strong negative association between smartphone use and sleep quality. However, the majority of these studies quantified smartphone use with subjective self-reported metrics. In contrast, the current study contributes to the literature by objectively logging university students' smartphone use and investigating the association thereof with sleep quality. The extensive, nuanced smartphone usage information obtained from this logging also enables us to explore the validity of several mechanisms theorised to underlie the previously reported negative association between smartphone use and sleep quality. In contrast to earlier research, we do not find a significant association between sleep quality and the duration or frequency of students' daily smartphone use. However, students with the internalised habit of launching a greater number of applications per session ('gateway habits') experience worse sleep quality. This finding is consistent with literature showing that smartphone-related stress is more strongly associated with checking habits stemming from 'fear-ofmissing-out' than with overall screen time.

Suggested Citation

  • Amez, Simon & Denecker, Floor & Ponnet, Koen & De Marez, Lieven & Baert, Stijn, 2021. "Mobile DNA and Sleep Quality," IZA Discussion Papers 14816, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14816
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    References listed on IDEAS

    as
    1. Amez, Simon & Vujić, Sunčica & De Marez, Lieven & Baert, Stijn, 2019. "Smartphone Use and Academic Performance: First Evidence from Longitudinal Data," GLO Discussion Paper Series 438, Global Labor Organization (GLO).
    2. Amez, Simon & Baert, Stijn, 2019. "Smartphone Use and Academic Performance: A Literature Review," IZA Discussion Papers 12723, Institute of Labor Economics (IZA).
    3. Stijn Baert & Sunčica Vujić & Simon Amez & Matteo Claeskens & Thomas Daman & Arno Maeckelberghe & Eddy Omey & Lieven De Marez, 2020. "Smartphone Use and Academic Performance: Correlation or Causal Relationship?," Kyklos, Wiley Blackwell, vol. 73(1), pages 22-46, February.
    4. Matthew A Christensen & Laura Bettencourt & Leanne Kaye & Sai T Moturu & Kaylin T Nguyen & Jeffrey E Olgin & Mark J Pletcher & Gregory M Marcus, 2016. "Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    5. Exelmans, Liese & Van den Bulck, Jan, 2016. "Bedtime mobile phone use and sleep in adults," Social Science & Medicine, Elsevier, vol. 148(C), pages 93-101.
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    Keywords

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    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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