期刊
SLEEP
卷 44, 期 7, 页码 -出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/sleep/zsab014
关键词
sleep; children; profiles; cardiometabolic health
资金
- National Health and Medical Research Council (NHMRC) of Australia [1041352, 1109355]
- Royal Children's Hospital Foundation [2014-241]
- Murdoch Children's Research Institute, The University of Melbourne
- National Heart Foundation of Australia [100660]
- Financial Markets Foundation for Children [2014-055]
- Victorian Deaf Education Institute
- NHMRC [633003, 1064629, 1175744]
- Cure Kids New Zealand
- [1046518]
- National Health and Medical Research Council of Australia [1064629, 1175744] Funding Source: NHMRC
The study found that different actigraphy-derived sleep profiles are associated with cardiometabolic health, with the overall good sleeper pattern linked to better cardiometabolic health.
Study Objectives: Sleep plays an important role in cardiometabolic health. Although the importance of considering sleep as a multidimensional construct is widely appreciated, studies have largely focused on individual sleep characteristics. The association between actigraphy-derived sleep profiles and cardiometabolic health in healthy adults and children has not been examined. Methods: This study used actigraphy-measured sleep data collected between February 2015 and March 2016 in the Child Health CheckPoint study. Participants wore actigraphy monitors (GENEActiv Original, Cambs, UK) on their nondominant wrist for 7 days and sleep characteristics (period, efficiency, timing, and variability) were derived from raw actigraphy data. Actigraphy-derived sleep profiles of 1,043 Australian children aged 11-12 years and 1,337 adults were determined using K-means cluster analysis. The association between cluster membership and biomarkers of cardiometabolic health (blood pressure, body mass index, apolipoproteins, glycoprotein acetyls, composite metabolic syndrome severity score) were assessed using Generalized Estimating Equations, adjusting for geographic clustering, with sex, socioeconomic status, maturity stage (age for adults, pubertal status for children), and season of data collection as covariates. Results: Four actigraphy-derived sleep profiles were identified in both children and adults: short sleepers, late to bed, long sleepers, and overall good sleepers. The overall good sleeper pattern (characterized by adequate sleep period time, high efficiency, early bedtime, and low day-to-day variability) was associated with better cardiometabolic health in the majority of comparisons (80%). Conclusion: Actigraphy-derived sleep profiles are associated with cardiometabolic health in adults and children. The overall good sleeper pattern is associated with more favorable cardiometabolic health.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据