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Associations between Sleep and Physical Activity Behavior Clusters and Epigenetic Age Acceleration in Mexican Adolescents.
Banker, Margaret; Jansen, Erica C; Goodrich, Jaclyn M; English, Lindsey; Dolinoy, Dana C; Song, Peter X K; Mitchell, Jonathan A; Téllez-Rojo, Martha María; Cantoral, Alejandra; Peterson, Karen E.
Afiliación
  • Banker M; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
  • Goodrich JM; Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI.
  • English L; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI.
  • Song PXK; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
  • Téllez-Rojo MM; Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, MEXICO.
  • Cantoral A; Department of Health, Iberoamerican University, Mexico City, MEXICO.
  • Peterson KE; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI.
Med Sci Sports Exerc ; 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38949160
ABSTRACT

INTRODUCTION:

Epigenetic aging, a marker of biological aging measured by DNA methylation, may be affected by behaviors, including sleep and physical activity. However, investigations of physical activity and sleep with epigenetic aging among pediatric populations are scant and have not accounted for correlated behaviors.

METHODS:

The study population included 472 Mexico City adolescents (52% female). Blood collection and 7-day wrist actigraphy (Actigraph GTX-BT) occurred during a follow-up visit when participants were 14.5 (2.09) years. Leukocyte DNA methylation was measured with the Infinium MethylationEPIC array after bisulfite conversion, and 9 epigenetic clocks were calculated. Sleep vs wake time was identified through a pruned dynamic programing algorithm, and physical activity was processed with Chandler cut-offs. Kmeans clustering was used to select actigraphy-assessed physical activity and sleep behavior clusters. Linear regression analyses were used to evaluate adjusted associations between the clusters and epigenetic aging.

RESULTS:

There were 3 unique clusters "Short sleep/high sedentary behavior", "Adequate sleep duration and late timing/low moderate or vigorous physical activity (MVPA)", and "Adequate sleep duration/high MVPA". Compared to the "Adequate duration/high MVPA", adolescents with "Adequate duration and late sleep timing/low MVPA" had more accelerated aging for the GrimAge clock (ß = 0.63;95% CI 0.07, 1.19). In pubertal-stratified analyses, more mature adolescents in the "Adequate duration and late sleep timing/low MVPA group" had accelerated epigenetic aging. In contrast, females in the "Short sleep/high sedentary" group had decelerated epigenetic aging for the Wu pediatric clock.

CONCLUSIONS:

Associations between behavior clusters and epigenetic aging varied by pubertal status and sex. Contrary results in the Wu clock suggest the need for future research on pediatric-specific clocks.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE País/Región como asunto: Mexico Idioma: En Revista: Med Sci Sports Exerc Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE País/Región como asunto: Mexico Idioma: En Revista: Med Sci Sports Exerc Año: 2024 Tipo del documento: Article
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