author_facet Matricciani, Lisa
Fraysse, Francois
Grobler, Anneke C
Muller, Josh
Wake, Melissa
Olds, Timothy
Matricciani, Lisa
Fraysse, Francois
Grobler, Anneke C
Muller, Josh
Wake, Melissa
Olds, Timothy
author Matricciani, Lisa
Fraysse, Francois
Grobler, Anneke C
Muller, Josh
Wake, Melissa
Olds, Timothy
spellingShingle Matricciani, Lisa
Fraysse, Francois
Grobler, Anneke C
Muller, Josh
Wake, Melissa
Olds, Timothy
BMJ Open
Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents
General Medicine
author_sort matricciani, lisa
spelling Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy 2044-6055 2044-6055 BMJ General Medicine http://dx.doi.org/10.1136/bmjopen-2017-020895 <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>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.</jats:p></jats:sec> Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents BMJ Open
doi_str_mv 10.1136/bmjopen-2017-020895
facet_avail Online
Free
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEzNi9ibWpvcGVuLTIwMTctMDIwODk1
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEzNi9ibWpvcGVuLTIwMTctMDIwODk1
institution DE-D275
DE-Bn3
DE-Brt1
DE-Zwi2
DE-D161
DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
DE-105
DE-14
DE-Ch1
DE-L229
imprint BMJ, 2019
imprint_str_mv BMJ, 2019
issn 2044-6055
issn_str_mv 2044-6055
language English
mega_collection BMJ (CrossRef)
match_str matricciani2019sleeppopulationepidemiologyandconcordanceinaustralianchildrenaged1112yearsandtheirparents
publishDateSort 2019
publisher BMJ
recordtype ai
record_format ai
series BMJ Open
source_id 49
title Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents
title_unstemmed 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 General Medicine
url http://dx.doi.org/10.1136/bmjopen-2017-020895
publishDate 2019
physical 127-135
description <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>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.</jats:p></jats:sec>
container_issue Suppl 3
container_start_page 127
container_title BMJ Open
container_volume 9
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792346186859937793
geogr_code not assigned
last_indexed 2024-03-01T17:35:23.987Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Sleep%3A+population+epidemiology+and+concordance+in+Australian+children+aged+11%E2%80%9312+years+and+their+parents&rft.date=2019-07-01&genre=article&issn=2044-6055&volume=9&issue=Suppl+3&spage=127&epage=135&pages=127-135&jtitle=BMJ+Open&atitle=Sleep%3A+population+epidemiology+and+concordance+in+Australian+children+aged+11%E2%80%9312+years+and+their+parents&aulast=Olds&aufirst=Timothy&rft_id=info%3Adoi%2F10.1136%2Fbmjopen-2017-020895&rft.language%5B0%5D=eng
SOLR
_version_ 1792346186859937793
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, Matricciani, Lisa, Fraysse, Francois, Grobler, Anneke C, Muller, Josh, Wake, Melissa, Olds, Timothy
author_sort matricciani, lisa
container_issue Suppl 3
container_start_page 127
container_title BMJ Open
container_volume 9
description <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>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.</jats:p></jats:sec>
doi_str_mv 10.1136/bmjopen-2017-020895
facet_avail Online, Free
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTEzNi9ibWpvcGVuLTIwMTctMDIwODk1
imprint BMJ, 2019
imprint_str_mv BMJ, 2019
institution DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229
issn 2044-6055
issn_str_mv 2044-6055
language English
last_indexed 2024-03-01T17:35:23.987Z
match_str matricciani2019sleeppopulationepidemiologyandconcordanceinaustralianchildrenaged1112yearsandtheirparents
mega_collection BMJ (CrossRef)
physical 127-135
publishDate 2019
publishDateSort 2019
publisher BMJ
record_format ai
recordtype ai
series BMJ Open
source_id 49
spelling Matricciani, Lisa Fraysse, Francois Grobler, Anneke C Muller, Josh Wake, Melissa Olds, Timothy 2044-6055 2044-6055 BMJ General Medicine http://dx.doi.org/10.1136/bmjopen-2017-020895 <jats:sec><jats:title>Objectives</jats:title><jats:p>To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics.</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Outcome measures</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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).</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>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.</jats:p></jats:sec> Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents BMJ Open
spellingShingle Matricciani, Lisa, Fraysse, Francois, Grobler, Anneke C, Muller, Josh, Wake, Melissa, Olds, Timothy, BMJ Open, Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents, General Medicine
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
title_unstemmed Sleep: population epidemiology and concordance in Australian children aged 11–12 years and their parents
topic General Medicine
url http://dx.doi.org/10.1136/bmjopen-2017-020895