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Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach

PURPOSE: Using a mixed-method approach, this investigation aimed to examine athletes’ sleeping patterns along with the socio-physiological acute and chronic stressors affecting their sleep. METHODS: Fifteen elite athletes (M(age) = 21.7 years; SD = 2.2) were monitored daily during a typical in-seaso...

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Autores principales: de Blasiis, Kévin, Joncheray, Hélène, Elefteriou, Julia, Lesenne, Chloé, Nedelec, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368439/
https://www.ncbi.nlm.nih.gov/pubmed/34413808
http://dx.doi.org/10.3389/fpsyg.2021.658427
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author de Blasiis, Kévin
Joncheray, Hélène
Elefteriou, Julia
Lesenne, Chloé
Nedelec, Mathieu
author_facet de Blasiis, Kévin
Joncheray, Hélène
Elefteriou, Julia
Lesenne, Chloé
Nedelec, Mathieu
author_sort de Blasiis, Kévin
collection PubMed
description PURPOSE: Using a mixed-method approach, this investigation aimed to examine athletes’ sleeping patterns along with the socio-physiological acute and chronic stressors affecting their sleep. METHODS: Fifteen elite athletes (M(age) = 21.7 years; SD = 2.2) were monitored daily during a typical in-season training period (20 ± 1 days) and completed individual semi-structured interviews. Their sleep was analyzed using actigraphy and sleep diaries. A content analysis method was used to assess qualitative interviews. RESULTS: Three factors influencing sleep emerged from the qualitative interview analyses, i.e., sleep environment, training and study requirements. Half the athletes (8/15) complained about their sleeping environment with noise and/or bedroom temperature and/or mattress quality and/or light exposure presented as an issue. “Complainers” notably exhibited impaired (p < 0.05) sleep efficiency and wake after sleep onset compared with “non-complainers.” Daily training load showed correlations (p < 0.05) with wake after sleep onset and sleep onset latency. “Student athletes” exhibited later bedtime and earlier wake-up time compared with “non-student athletes,” leading to a reduced total sleep time (6:50 ± 1:13 vs. 7:06 ± 0:53; p < 0.05; d = 0.20). CONCLUSION: An individualized assessment of sleep using actigraphy and interviews, with consideration to various socio-physiological factors, is recommended. Individualized sleep interventions with consideration to physiological (e.g., training load), behavioral (e.g., screen use) and environmental factors (e.g., room temperature, noise, mattress), can then be provided to each athlete.
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spelling pubmed-83684392021-08-18 Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach de Blasiis, Kévin Joncheray, Hélène Elefteriou, Julia Lesenne, Chloé Nedelec, Mathieu Front Psychol Psychology PURPOSE: Using a mixed-method approach, this investigation aimed to examine athletes’ sleeping patterns along with the socio-physiological acute and chronic stressors affecting their sleep. METHODS: Fifteen elite athletes (M(age) = 21.7 years; SD = 2.2) were monitored daily during a typical in-season training period (20 ± 1 days) and completed individual semi-structured interviews. Their sleep was analyzed using actigraphy and sleep diaries. A content analysis method was used to assess qualitative interviews. RESULTS: Three factors influencing sleep emerged from the qualitative interview analyses, i.e., sleep environment, training and study requirements. Half the athletes (8/15) complained about their sleeping environment with noise and/or bedroom temperature and/or mattress quality and/or light exposure presented as an issue. “Complainers” notably exhibited impaired (p < 0.05) sleep efficiency and wake after sleep onset compared with “non-complainers.” Daily training load showed correlations (p < 0.05) with wake after sleep onset and sleep onset latency. “Student athletes” exhibited later bedtime and earlier wake-up time compared with “non-student athletes,” leading to a reduced total sleep time (6:50 ± 1:13 vs. 7:06 ± 0:53; p < 0.05; d = 0.20). CONCLUSION: An individualized assessment of sleep using actigraphy and interviews, with consideration to various socio-physiological factors, is recommended. Individualized sleep interventions with consideration to physiological (e.g., training load), behavioral (e.g., screen use) and environmental factors (e.g., room temperature, noise, mattress), can then be provided to each athlete. Frontiers Media S.A. 2021-08-03 /pmc/articles/PMC8368439/ /pubmed/34413808 http://dx.doi.org/10.3389/fpsyg.2021.658427 Text en Copyright © 2021 de Blasiis, Joncheray, Elefteriou, Lesenne and Nedelec. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
de Blasiis, Kévin
Joncheray, Hélène
Elefteriou, Julia
Lesenne, Chloé
Nedelec, Mathieu
Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title_full Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title_fullStr Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title_full_unstemmed Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title_short Sleep-Wake Behavior in Elite Athletes: A Mixed-Method Approach
title_sort sleep-wake behavior in elite athletes: a mixed-method approach
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8368439/
https://www.ncbi.nlm.nih.gov/pubmed/34413808
http://dx.doi.org/10.3389/fpsyg.2021.658427
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