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Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults.

Authors :
Price, Elexis
Li, Xinyue
Xu, Yanyan
Mansuri, Asifhusen
McCall, William V.
Su, Shaoyong
Wang, Xiaoling
Source :
Scientific Reports. 12/13/2023, p1-10. 10p.
Publication Year :
2023

Abstract

Sleep variability (e.g. intra-individual variabilities in sleep duration or sleep timing, social jetlag, and catch-up sleep) is an important factor impacting health and mortality. However, limited information is available on the distribution of these sleep parameters across the human life span. We aimed to provide distribution of sleep variability related parameters across lifespan by sex and race in a national representative sample from the U.S. population. The study included 9981 participants 6 years and older from the National Health and Nutrition Examination Survey (NHANES) 2011–2014, who had 4–7 days of valid 24-h accelerometer recording with at least one day obtained during weekend (Friday or Saturday night). Of the study participants, 43% showed ≥ 60 min sleep duration standard deviation (SD), 51% experienced ≥ 60 min catch-up sleep, 20% showed ≥ 60 min sleep midpoint SD, and 43% experienced ≥ 60 min social jetlag. American youth and young adults averaged greater sleep variability compared to other age groups. Non-Hispanic Blacks showed greater sleep variability in all parameters compared to other racial groups. There was a main effect of sex on sleep midpoint SD and social jetlag with males averaging slightly more than females. Our study provides important observations on sleep variability parameters of residents of the United States by using objectively measured sleep patterns and will provide unique insights for personalized advice on sleep hygiene. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
174206495
Full Text :
https://doi.org/10.1038/s41598-023-49484-5