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Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents
OBJECTIVES: To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics. DESIGN: Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624061/ https://www.ncbi.nlm.nih.gov/pubmed/31273023 http://dx.doi.org/10.1136/bmjopen-2017-020895 |
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author | Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy |
author_facet | Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy |
author_sort | Matricciani, Lisa |
collection | PubMed |
description | OBJECTIVES: To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics. DESIGN: Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children. SETTING: Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns. PARTICIPANTS: Of the participating CheckPoint families (n=1874), sleep data were available for 1261 children (mean age 12 years, 50% girls), 1358 parents (mean age 43.8 years; 88% mothers) and 1077 biological parent–child pairs. Survey weights were applied and statistical methods accounted for the complex sample design, stratification and clustering within postcodes. OUTCOME MEASURES: Parents and children were asked to wear a GENEActive wrist-worn accelerometer for 8 days to collect objective sleep data. Primary outcomes were average sleep duration, onset, offset, day-to-day variability and efficiency. All sleep characteristics were weighted 5:2 to account for weekdays versus weekends. Biological parent–child concordance was quantified using Pearson’s correlation coefficients in unadjusted models and regression coefficients in adjusted models. RESULTS: The mean sleep duration of parents and children was 501 min (SD 56) and 565 min (SD 44), respectively; the mean sleep onset was 22:42 and 22:02, the mean sleep offset was 07:07 and 07:27, efficiency was 85.4% and 84.1%, and day-to-day variability was 9.9% and 7.4%, respectively. Parent–child correlation for sleep duration was 0.22 (95% CI 0.10 to 0.28), sleep onset was 0.42 (0.19 to 0.46), sleep offset was 0.58 (0.49 to 0.64), day-to-day variability was 0.25 (0.09 to 0.34) and sleep efficiency was 0.23 (0.10 to 0.27). CONCLUSIONS: These normative values for objective sleep characteristics suggest that, while most parents and children show adequate sleep duration, poor-quality (low efficiency) sleep is common. Parent–child concordance was strongest for sleep onset/offset, most likely reflecting shared environments, and modest for duration, variability and efficiency. |
format | Online Article Text |
id | pubmed-6624061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-66240612019-07-28 Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy BMJ Open Childcheckpoint Series OBJECTIVES: To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics. DESIGN: Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children. SETTING: Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns. PARTICIPANTS: Of the participating CheckPoint families (n=1874), sleep data were available for 1261 children (mean age 12 years, 50% girls), 1358 parents (mean age 43.8 years; 88% mothers) and 1077 biological parent–child pairs. Survey weights were applied and statistical methods accounted for the complex sample design, stratification and clustering within postcodes. OUTCOME MEASURES: Parents and children were asked to wear a GENEActive wrist-worn accelerometer for 8 days to collect objective sleep data. Primary outcomes were average sleep duration, onset, offset, day-to-day variability and efficiency. All sleep characteristics were weighted 5:2 to account for weekdays versus weekends. Biological parent–child concordance was quantified using Pearson’s correlation coefficients in unadjusted models and regression coefficients in adjusted models. RESULTS: The mean sleep duration of parents and children was 501 min (SD 56) and 565 min (SD 44), respectively; the mean sleep onset was 22:42 and 22:02, the mean sleep offset was 07:07 and 07:27, efficiency was 85.4% and 84.1%, and day-to-day variability was 9.9% and 7.4%, respectively. Parent–child correlation for sleep duration was 0.22 (95% CI 0.10 to 0.28), sleep onset was 0.42 (0.19 to 0.46), sleep offset was 0.58 (0.49 to 0.64), day-to-day variability was 0.25 (0.09 to 0.34) and sleep efficiency was 0.23 (0.10 to 0.27). CONCLUSIONS: These normative values for objective sleep characteristics suggest that, while most parents and children show adequate sleep duration, poor-quality (low efficiency) sleep is common. Parent–child concordance was strongest for sleep onset/offset, most likely reflecting shared environments, and modest for duration, variability and efficiency. BMJ Publishing Group 2019-07-04 /pmc/articles/PMC6624061/ /pubmed/31273023 http://dx.doi.org/10.1136/bmjopen-2017-020895 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Childcheckpoint Series Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title | Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title_full | Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title_fullStr | Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title_full_unstemmed | Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title_short | Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents |
title_sort | sleep: population epidemiology and concordance in australian children aged 11–12 years and their parents |
topic | Childcheckpoint Series |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624061/ https://www.ncbi.nlm.nih.gov/pubmed/31273023 http://dx.doi.org/10.1136/bmjopen-2017-020895 |
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