COVID-19 Lockdowns: A Worldwide Survey of Circadian Rhythms and Sleep Quality in 3911 Athletes from 49 Countries, with Data-Driven Recommendations.
Romdhani, M
Rae, DE
Nédélec, M
Ammar, A
Chtourou, H
Al Horani, R
Ben Saad, H
Bragazzi, N
Dönmez, G
Driss, T
Fullagar, HHK
Farooq, A
Garbarino, S
Hammouda, O
Hassanmirzaei, B
Khalladi, K
Khemila, S
Mataruna-Dos-Santos, LJ
Moussa-Chamari, I
Mujika, I
Muñoz Helú, H
Norouzi Fashkhami, A
Paineiras-Domingos, LL
Rahbari Khaneghah, M
Saita, Y
Trabelsi, K
Vitale, JA
Washif, JA
Weber, J
Souissi, N
Taylor, L
Chamari, K
- Publisher:
- ADIS INT LTD
- Publication Type:
- Journal Article
- Citation:
- Sports Med, 2021
- Issue Date:
- 2021-12-08
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Filename | Description | Size | |||
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Romdhani2021_Article_COVID-19LockdownsAWorldwideSur.pdf | Accepted version | 1.65 MB |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Romdhani, M | |
dc.contributor.author | Rae, DE | |
dc.contributor.author | Nédélec, M | |
dc.contributor.author | Ammar, A | |
dc.contributor.author | Chtourou, H | |
dc.contributor.author | Al Horani, R | |
dc.contributor.author | Ben Saad, H | |
dc.contributor.author | Bragazzi, N | |
dc.contributor.author | Dönmez, G | |
dc.contributor.author | Driss, T | |
dc.contributor.author | Fullagar, HHK | |
dc.contributor.author | Farooq, A | |
dc.contributor.author | Garbarino, S | |
dc.contributor.author | Hammouda, O | |
dc.contributor.author | Hassanmirzaei, B | |
dc.contributor.author | Khalladi, K | |
dc.contributor.author | Khemila, S | |
dc.contributor.author | Mataruna-Dos-Santos, LJ | |
dc.contributor.author | Moussa-Chamari, I | |
dc.contributor.author | Mujika, I | |
dc.contributor.author | Muñoz Helú, H | |
dc.contributor.author | Norouzi Fashkhami, A | |
dc.contributor.author | Paineiras-Domingos, LL | |
dc.contributor.author | Rahbari Khaneghah, M | |
dc.contributor.author | Saita, Y | |
dc.contributor.author | Trabelsi, K | |
dc.contributor.author | Vitale, JA | |
dc.contributor.author | Washif, JA | |
dc.contributor.author | Weber, J | |
dc.contributor.author | Souissi, N | |
dc.contributor.author | Taylor, L | |
dc.contributor.author | Chamari, K | |
dc.date.accessioned | 2022-03-24T06:19:51Z | |
dc.date.available | 2021-11-09 | |
dc.date.available | 2022-03-24T06:19:51Z | |
dc.date.issued | 2021-12-08 | |
dc.identifier.citation | Sports Med, 2021 | |
dc.identifier.issn | 0112-1642 | |
dc.identifier.issn | 1179-2035 | |
dc.identifier.uri | http://hdl.handle.net/10453/155523 | |
dc.description.abstract | OBJECTIVE: In a convenience sample of athletes, we conducted a survey of COVID-19-mediated lockdown (termed 'lockdown' from this point forward) effects on: (i) circadian rhythms; (ii) sleep; (iii) eating; and (iv) training behaviors. METHODS: In total, 3911 athletes [mean age: 25.1 (range 18-61) years, 1764 female (45%), 2427 team-sport (63%) and 1442 elite (37%) athletes] from 49 countries completed a multilingual cross-sectional survey including the Pittsburgh Sleep Quality Index and Insomnia Severity Index questionnaires, alongside bespoke questions about napping, training, and nutrition behaviors. RESULTS: Pittsburgh Sleep Quality Index (4.3 ± 2.4 to 5.8 ± 3.1) and Insomnia Severity Index (4.8 ± 4.7 to 7.2 ± 6.4) scores increased from pre- to during lockdown (p < 0.001). Pittsburgh Sleep Quality Index was predominantly influenced by sleep-onset latency (p < 0.001; + 29.8%), sleep efficiency (p < 0.001; - 21.1%), and total sleep time (p < 0.001; - 20.1%), whilst Insomnia Severity Index was affected by sleep-onset latency (p < 0.001; + 21.4%), bedtime (p < 0.001; + 9.4%), and eating after midnight (p < 0.001; + 9.1%). During lockdown, athletes reported fewer training sessions per week (- 29.1%; d = 0.99). Athletes went to bed (+ 75 min; 5.4%; d = 1.14) and woke up (+ 150 min; 34.5%; d = 1.71) later during lockdown with an increased total sleep time (+ 48 min; 10.6%; d = 0.83). Lockdown-mediated circadian disruption had more deleterious effects on the sleep quality of individual-sport athletes compared with team-sport athletes (p < 0.001; d = 0.41), elite compared with non-elite athletes (p = 0.028; d = 0.44) and older compared with younger (p = 0.008; d = 0.46) athletes. CONCLUSIONS: These lockdown-induced behavioral changes reduced sleep quality and increased insomnia in athletes. Data-driven and evidence-based recommendations to counter these include, but are not limited to: (i) early outdoor training; (ii) regular meal scheduling (whilst avoiding meals prior to bedtime and caffeine in the evening) with appropriate composition; (iii) regular bedtimes and wake-up times; and (iv) avoidance of long and/or late naps. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | ADIS INT LTD | |
dc.relation.ispartof | Sports Med | |
dc.relation.isbasedon | 10.1007/s40279-021-01601-y | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 0913 Mechanical Engineering, 1106 Human Movement and Sports Sciences, 1302 Curriculum and Pedagogy | |
dc.subject.classification | Sport Sciences | |
dc.title | COVID-19 Lockdowns: A Worldwide Survey of Circadian Rhythms and Sleep Quality in 3911 Athletes from 49 Countries, with Data-Driven Recommendations. | |
dc.type | Journal Article | |
utslib.location.activity | New Zealand | |
utslib.for | 0913 Mechanical Engineering | |
utslib.for | 1106 Human Movement and Sports Sciences | |
utslib.for | 1302 Curriculum and Pedagogy | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2022-03-24T06:19:50Z | |
pubs.publication-status | Published online |
Abstract:
OBJECTIVE: In a convenience sample of athletes, we conducted a survey of COVID-19-mediated lockdown (termed 'lockdown' from this point forward) effects on: (i) circadian rhythms; (ii) sleep; (iii) eating; and (iv) training behaviors. METHODS: In total, 3911 athletes [mean age: 25.1 (range 18-61) years, 1764 female (45%), 2427 team-sport (63%) and 1442 elite (37%) athletes] from 49 countries completed a multilingual cross-sectional survey including the Pittsburgh Sleep Quality Index and Insomnia Severity Index questionnaires, alongside bespoke questions about napping, training, and nutrition behaviors. RESULTS: Pittsburgh Sleep Quality Index (4.3 ± 2.4 to 5.8 ± 3.1) and Insomnia Severity Index (4.8 ± 4.7 to 7.2 ± 6.4) scores increased from pre- to during lockdown (p < 0.001). Pittsburgh Sleep Quality Index was predominantly influenced by sleep-onset latency (p < 0.001; + 29.8%), sleep efficiency (p < 0.001; - 21.1%), and total sleep time (p < 0.001; - 20.1%), whilst Insomnia Severity Index was affected by sleep-onset latency (p < 0.001; + 21.4%), bedtime (p < 0.001; + 9.4%), and eating after midnight (p < 0.001; + 9.1%). During lockdown, athletes reported fewer training sessions per week (- 29.1%; d = 0.99). Athletes went to bed (+ 75 min; 5.4%; d = 1.14) and woke up (+ 150 min; 34.5%; d = 1.71) later during lockdown with an increased total sleep time (+ 48 min; 10.6%; d = 0.83). Lockdown-mediated circadian disruption had more deleterious effects on the sleep quality of individual-sport athletes compared with team-sport athletes (p < 0.001; d = 0.41), elite compared with non-elite athletes (p = 0.028; d = 0.44) and older compared with younger (p = 0.008; d = 0.46) athletes. CONCLUSIONS: These lockdown-induced behavioral changes reduced sleep quality and increased insomnia in athletes. Data-driven and evidence-based recommendations to counter these include, but are not limited to: (i) early outdoor training; (ii) regular meal scheduling (whilst avoiding meals prior to bedtime and caffeine in the evening) with appropriate composition; (iii) regular bedtimes and wake-up times; and (iv) avoidance of long and/or late naps.
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