Document Detail


The relationships between sex, age, geography and time in bed in adolescents: a meta-analysis of data from 23 countries.
MedLine Citation:
PMID:  20207558     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
OBJECTIVES: To quantify the relationships between age, sex and country of residence and sleep time (time in bed) in young people aged 9-18 years.
METHODS: Thirty studies of sleep patterns in healthy adolescents from the last 30 years in 20 countries were reviewed. Monte Carlo simulation generated pseudo-data where only summary statistics were available. Raw and pseudo-data were combined, generating a total of 92,977 data points. A mixed model, clustering on countries, analysed data for school and non-school days separately.
RESULTS: Sleep time varied with sex, age and geographical region. School day sleep differed slightly between boys and girls, girls sleeping 11 min/night more than boys (p = 0.003). On non-school days, girls slept 29 min more each day (p = 0.003). Sleep time declined with age, - 14 min/day per year of age (school days), and seven min/night per year of age (non-school days). Large differences between countries, showed adolescents from Asian countries sleeping 40-60 min less each night than Americans, and 60-120 min less than Europeans.
CONCLUSION: Sex, age, geographical region and day type interact and predict sleep patterns in adolescents. One consistent trend is the increasing gap between sleep on school days and non-school days as adolescents get older.
Authors:
Tim Olds; Sarah Blunden; John Petkov; Fabricio Forchino
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Publication Detail:
Type:  Journal Article     Date:  2010-03-06
Journal Detail:
Title:  Sleep medicine reviews     Volume:  14     ISSN:  1532-2955     ISO Abbreviation:  Sleep Med Rev     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-10-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9804678     Medline TA:  Sleep Med Rev     Country:  England    
Other Details:
Languages:  eng     Pagination:  371-8     Citation Subset:  IM    
Copyright Information:
Copyright © 2009 Elsevier Ltd. All rights reserved.
Affiliation:
Sansom Institute, Division of Health Sciences, University of South Australia, Australia.
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