Cited by 47Sleep and related disordersPhysical Activity and HealthCircadian rhythm and melatonin

Sleep and cardiometabolic health in children and adults: examining sleep as a component of the 24-h day

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Matricciani, Lisa, Dumuid, Dorothea, Paquet, Catherine, Fraysse, François, Wang, Yichao, Baur, Louise A., Juonala, Markus, Ranganathan, Sarath +5 more·2021·Sleep Medicine

Abstract

Study objectives Sleep, physical activity and sedentary time are all known to play a role in cardiometabolic health. Compositional data analysis (CoDA) enables us to examine associations between 24-h use of time and health outcomes.Methods Data were collected in the Child Health CheckPoint study, a one-off national population-cohort study conducted between February 2015 and March 2016. Wrist-worn actigraphy monitors (GENEActiv Original, Cambs, UK) were used to measure activity behaviours (sleep, physical activity and sedentary time) and sleep characteristics (sleep variability, midsleep, efficiency). CoDA was applied to determine the association between 24-h use of time and cardiometabolic risk markers (blood pressure; body mass index; apolipoprotein B/A1; glycoprotein acetyls; and composite metabolic syndrome score). Substitution modelling (one-for-remaining and one-for-one) examined the associations of reallocating sleep time with other activity behaviours.Results Data were available for 1073 Australian children aged 11-12 years (50% male) and 1337 adults (13% male). Strong association was found between 24-h use of time and all cardiometabolic health outcomes. Longer sleep was associated with more favourable cardiovascular health. Sleep characteristics other than duration (efficiency, timing, variability) were weakly and inconsistently associated with outcomes. Reallocating time from sleep to moderate-vigorous physical activity (MVPA) had favourable associations with cardiometabolic health, but reallocating from sleep to sedentary time was associated with less favourable cardiometabolic health.Conclusion The 24-h activity composition is strongly associated with cardiometabolic health in children and adults. Days with more sleep and MVPA are associated with improved cardiometabolic health.

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Crossref · 10.1016/j.sleep.2020.12.001

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Authors
Matricciani, L., Dumuid, D., Paquet, C., Fraysse, F., Wang, Y., Baur, L. A., Juonala, M., Ranganathan, S., Lycett, K., Kerr, J. A., Burgner, D., Wake, M., & Olds, T.
Affiliations
  • University of South Australia (AU)
  • The University of Melbourne (AU)
  • The University of Sydney (AU)
  • University of Turku (FI)
  • Deakin University (AU)
  • University of Auckland (NZ)
Corresponding author
Matricciani, Lisa
Venue
Sleep Medicine
Publisher
Elsevier BV
Published
2021-02
Volume
78
Pages
63-74
ISSN
1389-9457 (ISSN-L)
OpenAlex
W3112538639
Cited by
46
References
67
Citations by year
2026: 4 · 2025: 8 · 2024: 7 · 2023: 17 · 2022: 7 · 2021: 3
FWCI
6.52
Type
journal article
Language
en
Update notices
erratum (2021-10-01)
Open access
Locations
  • Sleep Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Health and Medical Research Council of Australia (1041352, 1109355)
  • Royal Children's Hospital Foundation (2014-241)
  • Murdoch Children's Research Institute
  • The University of Melbourne
  • National Heart Foundation of Australia (100660)
  • Financial Markets Foundation for Children (2014-055, 2016-310)
  • University of Auckland Faculty Development Research Fund (3712987)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
Keywords
sleep, cardiometabolic health, physical activity, sedentary time, sleep efficiency, sleep timing, sleep variability, metabolic syndrome, blood pressure, body mass index, apolipoproteins, children, adults, actigraphy
MeSH terms
Adult, Australia, Cardiovascular Diseases, Child, Cross-Sectional Studies, Female, Humans, Male, Sleep, Cohort Studies

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