期刊
JOURNAL OF ADOLESCENT HEALTH
卷 65, 期 2, 页码 224-231出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jadohealth.2019.02.008
关键词
Actigraphy; Rest-activity patterns; Obesity; Adolescents
资金
- National Institute of Child Health and Human Development
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Heart, Lung, and Blood Institute of the National Institutes of Health [R24HL114473, U54CA116847, R01HD034568, UG3OD023286, P30 DK092924, K24 DK10589, R35 HL135818]
- Tuebinger Program for the Advancement of Women in Science
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/m(2) 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. (C) 2019 Society for Adolescent Health and Medicine. All rights reserved.
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