Sleep Duration and Risk of Type 2 Diabetes

Author:

Rudnicka Alicja R.1,Nightingale Claire M.1,Donin Angela S.1,Sattar Naveed2,Cook Derek G.1,Whincup Peter H.1,Owen Christopher G.1

Affiliation:

1. Population Health Research Institute, St George’s, University of London, London, United Kingdom; and

2. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom

Abstract

BACKGROUND: Associations between sleep duration and type 2 diabetes (T2D) risk markers in childhood have been little studied. We examined associations between self-reported sleep duration and T2D risk markers in children. METHODS: Cross-sectional study of 4525 multiethnic UK children aged 9 to 10 years. Sleep time was calculated from self-reported usual time of going to bed and getting up on a school day, validated in a subset using accelerometers. Fasting blood samples provided levels of serum lipids and insulin, plasma glucose, and HbA1c. Physical measures included height, weight, bioimpedance, and blood pressure. Multilevel linear regression models of anthropometric, T2D, and cardiovascular risk markers with sleep duration were adjusted for sex, age, month, ethnicity, socioeconomic position, observer (physical measures only), and random effect of school. RESULTS: On average, children slept 10.5 hours per night (95% range 8.0–12.0 hours). There were strong inverse graded relationships between sleep duration, adiposity, and diabetes risk markers. In adjusted models, a 1-hour-longer sleep duration was associated with 0.19 lower BMI (95% confidence interval [CI] 0.09 to 0.28), 0.03 kg/m5 lower fat mass index (95% CI 0.00 to 0.05 kg/m5), 2.9% lower homeostasis model assessment insulin resistance (95% CI 1.2% to 4.4%), and 0.24% lower fasting glucose (95% CI 0.03% to 0.44%); there was no association with HbA1c or cardiovascular risk. Associations with insulin and glucose remained after an additional adjustment for adiposity markers. CONCLUSIONS: The finding of an inverse association between sleep duration and T2D risk markers in childhood is novel. Intervention studies are needed to establish the causality of these associations, which could provide a simple strategy for early T2D prevention.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology and Child Health

Reference40 articles.

1. Gatineau M, Hancock C, Holman N, et al. Adult obesity and type 2 diabetes. Available at: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/338934/Adult_obesity_and_type_2_diabetes_.pdf. Accessed March 1, 2016

2. IDF Diabetes Atlas. 6th ed. Brussels, Belgium: International Diabetes Federation; 2013. Available at: http://www.diabetesatlas.org/resources/previous-editions.html#sthash.rOMmInEH.dpbs. Accessed June 22, 2017

3. Davies SC, Barlow J. Our children deserve better: prevention pays. Annual Report of the Chief Medical Officer, 2012. Available at: https://www.gov.uk/government/publications/chief-medical-officers-annual-report-2012-our-children-deserve-better-prevention-pays. Accessed June 22, 2017

4. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis.;Cappuccio;Diabetes Care,2010

5. Meta-analysis of short sleep duration and obesity in children and adults.;Cappuccio;Sleep,2008

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3