Childhood sleep health and epigenetic age acceleration in late adolescence: Cross-sectional and longitudinal analyses.

Journal: Acta paediatrica (Oslo, Norway : 1992)

Volume: 112

Issue: 5

Year of Publication: 2023

Affiliated Institutions:  College of Education, Psychology, and Social Work, Flinders University, Adelaide, South Australia, Australia. Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia. Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia. Nutrition and Health Innovation Research Institute (NHIRI), Edith Cowan University, Perth, Western Australia, Australia. Flinders Health and Medical Research Institute (Sleep Health), Flinders University, Adelaide, South Australia, Australia.

Abstract summary 

Investigate if childhood measures of sleep health are associated with epigenetic age acceleration in late adolescence.Parent-reported sleep trajectories from age 5 to 17, self-reported sleep problems at age 17, and six measures of epigenetic age acceleration at age 17 were studied in 1192 young Australians from the Raine Study Gen2.There was no evidence for a relationship between the parent-reported sleep trajectories and epigenetic age acceleration (p ≥ 0.17). There was a positive cross-sectional relationship between self-reported sleep problem score and intrinsic epigenetic age acceleration at age 17 (b = 0.14, p = 0.04), which was attenuated after controlling for depressive symptom score at the same age (b = 0.08, p = 0.34). Follow-up analyses suggested this finding may represent greater overtiredness and intrinsic epigenetic age acceleration in adolescents with higher depressive symptoms.There was no evidence for a relationship between self- or parent-reported sleep health and epigenetic age acceleration in late adolescence after adjusting for depressive symptoms. Mental health should be considered as a potential confounding variable in future research on sleep and epigenetic age acceleration, particularly if subjective measures of sleep are used.

Authors & Co-authors:  Balfour David D Melton Phillip E PE McVeigh Joanne A JA Huang Rae-Chi RC Eastwood Peter R PR Wanstall Sian S Reynolds Amy C AC Cohen-Woods Sarah S

Study Outcome 

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Statistics
Citations :  Medic G, Wille M, Hemels ME. Short‐ and long‐term health consequences of sleep disruption. Nat Sci Sleep. 2017;9:151‐161. doi:10.2147/NSS.S134864
Authors :  8
Identifiers
Doi : 10.1111/apa.16719
SSN : 1651-2227
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
DNA methylation;biological age;childhood;methylation age;the Raine Study
Study Design
Longitudinal Study,Cross Sectional Study
Study Approach
Country of Study
Publication Country
Norway