Sleep Health, Individual Characteristics, Lifestyle Factors, and Marathon Completion Time in Marathon Runners: A Retrospective Investigation of the 2016 London Marathon

Author:

Cook Jesse D.12,Gratton Matt K. P.34,Bender Amy M.5ORCID,Werthner Penny5,Lawson Doug6,Pedlar Charles R.78ORCID,Kipps Courtney8ORCID,Bastien Celyne H.9,Samuels Charles H.5610,Charest Jonathan569

Affiliation:

1. Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53706, USA

2. Department of Psychology, University of Wisconsin-Madison, Madison, WI 53706, USA

3. Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, MO 66160, USA

4. Social and Behavioral Sciences, Psychology, University of Kansas, Lawrence, KS 66045, USA

5. Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada

6. Centre for Sleep and Human Performance, Calgary, AB T2X 3V4, Canada

7. Faculty of Sport, Allied Health, and Performance Science, Twickenham, St Mary’s University, London TW1 4SX, UK

8. Institute of Sport, Exercise and Health, University College London, London WC1E 6JB, UK

9. École de Psychologie, Université Laval, Québec City, QC G1V 0A6, Canada

10. Faculty of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada

Abstract

Despite sleep health being critically important for athlete performance and well-being, sleep health in marathoners is understudied. This foundational study explored relations between sleep health, individual characteristics, lifestyle factors, and marathon completion time. Data were obtained from the 2016 London Marathon participants. Participants completed the Athlete Sleep Screening Questionnaire (ASSQ) along with a brief survey capturing individual characteristics and lifestyle factors. Sleep health focused on the ASSQ sleep difficulty score (SDS) and its components. Linear regression computed relations among sleep, individual, lifestyle, and marathon variables. The analytic sample (N = 943) was mostly male (64.5%) and young adults (66.5%). A total of 23.5% of the sample reported sleep difficulties (SDS ≥ 8) at a severity warranting follow-up with a trained sleep provider. Middle-aged adults generally reported significantly worse sleep health characteristics, relative to young adults, except young adults reported significantly longer sleep onset latency (SOL). Sleep tracker users reported worse sleep satisfaction. Pre-bedtime electronic device use was associated with longer SOL and longer marathon completion time, while increasing SOL was also associated with longer marathon completion. Our results suggest a deleterious influence of pre-bedtime electronic device use and sleep tracker use on sleep health in marathoners. Orthosomnia may be a relevant factor in the relationship between sleep tracking and sleep health for marathoners.

Publisher

MDPI AG

Subject

General Neuroscience

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