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J Adolesc Health. 2019 Aug;65(2):224-231. doi: 10.1016/j.jadohealth.2019.02.008. Epub 2019 May 2.

Association of Daily Rest-Activity Patterns With Adiposity and Cardiometabolic Risk Measures in Teens.

Author information

1
Department of Neonatology, University of Tuebingen, Tuebingen, Germany; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts. Electronic address: mirja.quante@med.uni-tuebingen.de.
2
Division of Research, Kaiser Permanente Northern California, Oakland, California.
3
Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
4
Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts.
5
Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
6
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of General Academic Pediatrics, Department of Pediatrics, MassGeneral Hospital for Children, Boston, Massachusetts.
7
Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Abstract

PURPOSE:

Emerging data indicate that the timing and rhythms of energetic behaviors may influence metabolism and obesity risk. Our aim was to derive diurnal rest-activity patterns from actigraphy in adolescents and analyze associations with adiposity measures and cardiometabolic risk factors.

METHODS:

Adolescents in the Project Viva cohort wore a wrist actigraph over 7 days. We derived markers of daily rest-activity patterns from actigraphy using nonparametric models, generating measurements of relative amplitude (RA). RA reflects the normalized difference in activity measured during the most active 10-hour period and the least active 5-hour period, averaged over multiple 24-hour periods. Using multivariable-adjusted linear regression models, we estimated associations of RA and its components with markers of adiposity (body mass index, waist circumference, skinfolds, dual-energy X-ray absorptiometry fat mass) and cardiometabolic health (cardiometabolic risk score, derived as the mean of five sex-specific internal z-scores for waist circumference, systolic blood pressure, high-density lipoprotein cholesterol scaled inversely, and log-transformed triglycerides and homeostatic model assessment of insulin resistance).

RESULTS:

A total of 778 adolescents provided at least 5 days of valid actigraphy data. The average age was 13.2 (±.9) years, 52% were female, and the average RA was .9 (±.1). A higher RA reflecting higher activity during wakefulness and lower activity during the night was associated with more favorable indices of adiposity (e.g., -.35 kg/m2 lower body mass index per each .04 units increment of RA; 95% confidence interval: -.60 to -.09).

CONCLUSIONS:

In this large sample of adolescents, a higher RA emerged as a novel biomarker, associated with more favorable cardiometabolic profiles.

KEYWORDS:

Actigraphy; Adolescents; Obesity; Rest-activity patterns

PMID:
31056236
PMCID:
PMC6650322
[Available on 2020-08-01]
DOI:
10.1016/j.jadohealth.2019.02.008

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