Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults
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 s...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-49484-5 |
| _version_ | 1797388378127204352 |
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| author | Elexis Price Xinyue Li Yanyan Xu Asifhusen Mansuri William V. McCall Shaoyong Su Xiaoling Wang |
| author_facet | Elexis Price Xinyue Li Yanyan Xu Asifhusen Mansuri William V. McCall Shaoyong Su Xiaoling Wang |
| author_sort | Elexis Price |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T22:38:56Z |
| format | Article |
| id | doaj.art-f9445c2c4aa44628b03b3bc784cf6acb |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-08T22:38:56Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-f9445c2c4aa44628b03b3bc784cf6acb2023-12-17T12:17:39ZengNature PortfolioScientific Reports2045-23222023-12-0113111010.1038/s41598-023-49484-5Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adultsElexis Price0Xinyue Li1Yanyan Xu2Asifhusen Mansuri3William V. McCall4Shaoyong Su5Xiaoling Wang6Medical College of Georgia, Augusta UniversitySchool of Data Science, City University of Hong KongGeorgia Prevention Institute, Medical College of Georgia, Augusta UniversityDivision of Pediatric Nephrology and Hypertension, Children’s Hospital of Georgia, Medical College of Georgia, Augusta UniversityDepartment of Psychiatry and Health Behavior, Medical College of Georgia, Augusta UniversityGeorgia Prevention Institute, Medical College of Georgia, Augusta UniversityGeorgia Prevention Institute, Medical College of Georgia, Augusta UniversityAbstract 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.https://doi.org/10.1038/s41598-023-49484-5 |
| spellingShingle | Elexis Price Xinyue Li Yanyan Xu Asifhusen Mansuri William V. McCall Shaoyong Su Xiaoling Wang Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults Scientific Reports |
| title | Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults |
| title_full | Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults |
| title_fullStr | Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults |
| title_full_unstemmed | Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults |
| title_short | Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults |
| title_sort | age sex and race distribution of accelerometer derived sleep variability in us school aged children and adults |
| url | https://doi.org/10.1038/s41598-023-49484-5 |
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