Children's sleep patterns from 0 to 9 years: Australian population longitudinal study
Objective To provide accurate population normative data documenting cross-sectional, age-specific sleep patterns in Australian children aged 0–9 years. Design and setting The first three waves of the nationally representative Longitudinal Study of Australian Children, comprising two cohorts recruite...
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description | Objective To provide accurate population normative data documenting cross-sectional, age-specific sleep patterns in Australian children aged 0–9 years. Design and setting The first three waves of the nationally representative Longitudinal Study of Australian Children, comprising two cohorts recruited in 2004 at ages 0–1 years (n=5107) and 4–5 years (n=4983), and assessed biennially. Participants Children with analysable sleep data for at least one wave. Measures At every wave, parents prospectively completed 24-h time-use diaries for a randomly selected week or weekend day. ‘Sleeping, napping’ was one of the 26 precoded activities recorded in 15-min time intervals. Results From 0 to 9 years of age, 24-h sleep duration fell from a mean peak of 14 (SD 2.2) h at 4–6 months to 10 (SD 1.9) h at 9 years, mainly due to progressively later mean sleep onset time from 20:00 (SD 75 min) to 21:00 (SD 60 min) and declining length of day sleep from 3.0 (SD 1.7) h to 0.03 (SD 0.2) h. Number and duration of night wakings also fell. By primary school, wake and sleep onset times were markedly later on weekend days. The most striking feature of the centile charts is the huge variation at all ages in sleep duration, sleep onset time and, especially, wake time in this normal population. Conclusions Parents and professionals can use these new centile charts to judge normalcy of children's sleep. In future research, these population parameters will now be used to empirically determine optimal child sleep patterns for child and parent outcomes like mental and physical health. |
doi_str_mv | 10.1136/archdischild-2013-304150 |
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Design and setting The first three waves of the nationally representative Longitudinal Study of Australian Children, comprising two cohorts recruited in 2004 at ages 0–1 years (n=5107) and 4–5 years (n=4983), and assessed biennially. Participants Children with analysable sleep data for at least one wave. Measures At every wave, parents prospectively completed 24-h time-use diaries for a randomly selected week or weekend day. ‘Sleeping, napping’ was one of the 26 precoded activities recorded in 15-min time intervals. Results From 0 to 9 years of age, 24-h sleep duration fell from a mean peak of 14 (SD 2.2) h at 4–6 months to 10 (SD 1.9) h at 9 years, mainly due to progressively later mean sleep onset time from 20:00 (SD 75 min) to 21:00 (SD 60 min) and declining length of day sleep from 3.0 (SD 1.7) h to 0.03 (SD 0.2) h. Number and duration of night wakings also fell. By primary school, wake and sleep onset times were markedly later on weekend days. The most striking feature of the centile charts is the huge variation at all ages in sleep duration, sleep onset time and, especially, wake time in this normal population. Conclusions Parents and professionals can use these new centile charts to judge normalcy of children's sleep. In future research, these population parameters will now be used to empirically determine optimal child sleep patterns for child and parent outcomes like mental and physical health.</description><identifier>ISSN: 0003-9888</identifier><identifier>EISSN: 1468-2044</identifier><identifier>DOI: 10.1136/archdischild-2013-304150</identifier><identifier>PMID: 24347573</identifier><identifier>CODEN: ADCHAK</identifier><language>eng</language><publisher>London: BMJ Publishing Group</publisher><subject>Age Factors ; Australia ; Biological and medical sciences ; Child ; Child, Preschool ; Cross-Sectional Studies ; Female ; General aspects ; Health aspects ; Human physical development ; Humans ; Infant ; Infant, Newborn ; Insomnia ; Longitudinal Studies ; Male ; Medical sciences ; Miscellaneous ; Obesity ; Prevention and actions ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Reference Values ; Sleep ; Sleep - physiology ; Studies ; Time Factors ; Young Children</subject><ispartof>Archives of disease in childhood, 2014-02, Vol.99 (2), p.119-125</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>2015 INIST-CNRS</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b515t-afc8e90848bd4cf6903c1cde69e6d0e12c5b984dd22f9386484e73fd6926943a3</citedby><cites>FETCH-LOGICAL-b515t-afc8e90848bd4cf6903c1cde69e6d0e12c5b984dd22f9386484e73fd6926943a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://adc.bmj.com/content/99/2/119.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://adc.bmj.com/content/99/2/119.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77342,77373</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28093298$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24347573$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Price, Anna M H</creatorcontrib><creatorcontrib>Brown, Judith E</creatorcontrib><creatorcontrib>Bittman, Michael</creatorcontrib><creatorcontrib>Wake, Melissa</creatorcontrib><creatorcontrib>Quach, Jon</creatorcontrib><creatorcontrib>Hiscock, Harriet</creatorcontrib><title>Children's sleep patterns from 0 to 9 years: Australian population longitudinal study</title><title>Archives of disease in childhood</title><addtitle>Arch Dis Child</addtitle><description>Objective To provide accurate population normative data documenting cross-sectional, age-specific sleep patterns in Australian children aged 0–9 years. Design and setting The first three waves of the nationally representative Longitudinal Study of Australian Children, comprising two cohorts recruited in 2004 at ages 0–1 years (n=5107) and 4–5 years (n=4983), and assessed biennially. Participants Children with analysable sleep data for at least one wave. Measures At every wave, parents prospectively completed 24-h time-use diaries for a randomly selected week or weekend day. ‘Sleeping, napping’ was one of the 26 precoded activities recorded in 15-min time intervals. Results From 0 to 9 years of age, 24-h sleep duration fell from a mean peak of 14 (SD 2.2) h at 4–6 months to 10 (SD 1.9) h at 9 years, mainly due to progressively later mean sleep onset time from 20:00 (SD 75 min) to 21:00 (SD 60 min) and declining length of day sleep from 3.0 (SD 1.7) h to 0.03 (SD 0.2) h. Number and duration of night wakings also fell. By primary school, wake and sleep onset times were markedly later on weekend days. The most striking feature of the centile charts is the huge variation at all ages in sleep duration, sleep onset time and, especially, wake time in this normal population. Conclusions Parents and professionals can use these new centile charts to judge normalcy of children's sleep. In future research, these population parameters will now be used to empirically determine optimal child sleep patterns for child and parent outcomes like mental and physical health.</description><subject>Age Factors</subject><subject>Australia</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>General aspects</subject><subject>Health aspects</subject><subject>Human physical development</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Insomnia</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Obesity</subject><subject>Prevention and actions</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Reference Values</subject><subject>Sleep</subject><subject>Sleep - physiology</subject><subject>Studies</subject><subject>Time Factors</subject><subject>Young Children</subject><issn>0003-9888</issn><issn>1468-2044</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqN0c2u1CAUB3BiNN5x9BUMiTG6qUKhFNxNJn4lN7kbjUtC6encTihUoImzc-OL-iQy6fgRN7qCkN8BzvkjhCl5QSkTL020t_2Y7O3o-qomlFWMcNqQO2hDuZDliPO7aEMIYZWSUl6hBykdCaG1lOw-uqo5423Tsg36tD_fEcE_Szg5gBnPJmeIPuEhhgkTnANW379-O4GJ6RXeLSlH40bj8RzmxZk8Bo9d8IcxL_3ojcOpbE4P0b3BuASPLusWfXzz-sP-XXV98_b9fndddQ1tcmUGK0ERyWXXczsIRZiltgehQPQEaG2bTkne93U9KCYFlxxaNvRC1UJxZtgWPV_vnWP4vEDKeipzAeeMh7AkTRvKeU1E6fiflCvStoWyQp_8RY9hiaW5omSZoaSiDH2LqlUdjAM9eht8hi_ZBufgALr0ub_RO9aSVtJGNcXL1dsYUoow6DmOk4knTYk-56r_zFWfc9VrrqX08eVDSzdB_6vwZ5AFPL0Ak6xxQzTejum3k0SxWsni2Oq66fj_z_8AIbC-gQ</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Price, Anna M H</creator><creator>Brown, Judith E</creator><creator>Bittman, Michael</creator><creator>Wake, Melissa</creator><creator>Quach, Jon</creator><creator>Hiscock, Harriet</creator><general>BMJ Publishing Group</general><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88E</scope><scope>88I</scope><scope>8A4</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope></search><sort><creationdate>20140201</creationdate><title>Children's sleep patterns from 0 to 9 years: Australian population longitudinal study</title><author>Price, Anna M H ; Brown, Judith E ; Bittman, Michael ; Wake, Melissa ; Quach, Jon ; Hiscock, Harriet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b515t-afc8e90848bd4cf6903c1cde69e6d0e12c5b984dd22f9386484e73fd6926943a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Age Factors</topic><topic>Australia</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>General aspects</topic><topic>Health aspects</topic><topic>Human physical development</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Insomnia</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Obesity</topic><topic>Prevention and actions</topic><topic>Public health. 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Design and setting The first three waves of the nationally representative Longitudinal Study of Australian Children, comprising two cohorts recruited in 2004 at ages 0–1 years (n=5107) and 4–5 years (n=4983), and assessed biennially. Participants Children with analysable sleep data for at least one wave. Measures At every wave, parents prospectively completed 24-h time-use diaries for a randomly selected week or weekend day. ‘Sleeping, napping’ was one of the 26 precoded activities recorded in 15-min time intervals. Results From 0 to 9 years of age, 24-h sleep duration fell from a mean peak of 14 (SD 2.2) h at 4–6 months to 10 (SD 1.9) h at 9 years, mainly due to progressively later mean sleep onset time from 20:00 (SD 75 min) to 21:00 (SD 60 min) and declining length of day sleep from 3.0 (SD 1.7) h to 0.03 (SD 0.2) h. Number and duration of night wakings also fell. By primary school, wake and sleep onset times were markedly later on weekend days. The most striking feature of the centile charts is the huge variation at all ages in sleep duration, sleep onset time and, especially, wake time in this normal population. Conclusions Parents and professionals can use these new centile charts to judge normalcy of children's sleep. In future research, these population parameters will now be used to empirically determine optimal child sleep patterns for child and parent outcomes like mental and physical health.</abstract><cop>London</cop><pub>BMJ Publishing Group</pub><pmid>24347573</pmid><doi>10.1136/archdischild-2013-304150</doi><tpages>7</tpages></addata></record> |
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subjects | Age Factors Australia Biological and medical sciences Child Child, Preschool Cross-Sectional Studies Female General aspects Health aspects Human physical development Humans Infant Infant, Newborn Insomnia Longitudinal Studies Male Medical sciences Miscellaneous Obesity Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Reference Values Sleep Sleep - physiology Studies Time Factors Young Children |
title | Children's sleep patterns from 0 to 9 years: Australian population longitudinal study |
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