医学
入射(几何)
糖尿病
2型糖尿病
前瞻性队列研究
睡眠(系统调用)
儿科
内科学
内分泌学
物理
计算机科学
光学
操作系统
作者
Jean‐Philippe Chaput,Raaj Kishore Biswas,Matthew Ahmadi,Peter A. Cistulli,Angelo Sabag,Marie‐Pierre St‐Onge,Emmanuel Stamatakis
出处
期刊:Diabetes Care
[American Diabetes Association]
日期:2024-10-10
卷期号:47 (12): 2139-2145
被引量:3
摘要
OBJECTIVE To prospectively examine the association between device-measured sleep regularity and incidence of type 2 diabetes (T2D) in a population-based sample of adults. We also examined if meeting sleep duration recommendations attenuated or eliminated the effects of irregular sleep on T2D. RESEARCH DESIGN AND METHODS We conducted a prospective cohort study of adults aged 40–79 years participating in the UK Biobank accelerometer substudy. Participants wore wrist-attached accelerometers for a duration of 7 days, which was used to compute the Sleep Regularity Index (SRI). Participants were categorized as irregular (SRI <71.6), moderately irregular (SRI between 71.6 and 87.3), and regular (SRI >87.3) sleepers. T2D diagnosis was obtained through self-reports and health records. RESULTS We analyzed data from 73,630 individuals observed for 8 years, without a history of T2D and without an event in the first year of follow-up. Compared with regular sleepers, irregular (hazard ratio [HR] 1.38; 95% CI 1.20–1.59) and moderately irregular sleepers (HR 1.35; 95% CI 1.19–1.53) were at higher risk of T2D incidence. Dose-response analyses treating SRI as a continuous measure showed higher T2D incidence with SRI scores <80. Meeting current sleep duration recommendations did not counteract the adverse effects of irregular (HR 1.35; 95% CI 1.09–1.66) or moderately irregular (HR 1.29; 95% CI 1.08–1.54) sleep on T2D incidence. CONCLUSIONS Moderate and high sleep irregularity were deleteriously associated with T2D risk, even in participants who slept ≥7 h per night. Future sleep interventions will need to pay more attention to consistency in bedtimes and wake-up times, in addition to sleep duration and quality.
科研通智能强力驱动
Strongly Powered by AbleSci AI