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    Evening electronic device use and sleep patterns in athletes

    72789.pdf (261.5Kb)
    Access Status
    Open access
    Authors
    Jones, M.
    Dawson, B.
    Gucciardi, Daniel
    Eastwood, Peter
    Miller, J.
    Halson, S.
    Dunican, I.
    Peeling, P.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Jones, M. and Dawson, B. and Gucciardi, D. and Eastwood, P. and Miller, J. and Halson, S. and Dunican, I. et al. 2018. Evening electronic device use and sleep patterns in athletes. Journal of Sports Sciences. 37 (8): pp. 864-870.
    Source Title
    Journal of Sports Sciences
    DOI
    10.1080/02640414.2018.1531499
    ISSN
    0264-0414
    School
    School of Physiotherapy and Exercise Science
    Remarks

    This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Spatial Science on 16/10/2018 available online: http://www.tandfonline.com//10.1080/02640414.2018.1531499

    URI
    http://hdl.handle.net/20.500.11937/72546
    Collection
    • Curtin Research Publications
    Abstract

    The present study aimed to investigate pre-sleep behaviours (including evening electronic device use) and sleep quantity in well-trained athletes. Seventy well-trained athletes (44 females, 26 males) aged 21 ± 4 y from a range of team and individual sports were asked to complete an online sleep diary for 7 days. The sleep diary included questions about pre-sleep behaviours (e.g. napping, caffeine intake), electronic device use in the 2 h prior to bedtime (e.g. type of device and duration of use) and sleep (e.g. time in bed, sleep onset latency). On average, athletes spent 8:20 ± 1:21 h in bed each night. Associations between age, time in bed and sleepiness suggested that younger athletes spent more time in bed (B = -0.05, p = 0.001) but felt sleepier (r = -0.32, p < 0.01) than older athletes. On average, athletes mostly used electronic devices for 0–30 min prior to sleep. The use of multiple devices in the evening was associated with more perceived difficulty in falling asleep (B = 0.22, p = 0.03), but no associations existed with other sleep variables. In summary, younger athletes may require later start times or improved sleep quality to resolve excessive sleepiness.

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