Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
J Gerontol A Biol Sci Med Sci. 2023 Aug 27;78(9):1717-1724. doi: 10.1093/gerona/glad108.
Both sleep duration and efficiency are essential for health outcomes. However, few studies have considered the effects of both sleep duration and efficiency on predicting the risks of mortality. This study investigated the independent and joint associations of accelerometer-measured sleep duration and efficiency with all-cause and cause-specific mortality.
The UK Biobank is a cohort study of over 500 000 individuals recruited between 2006 and 2010. This study included participants wearing wrist accelerometers for 7 consecutive days between February 2013 and December 2015. Mortality was ascertained by the national death registries.
Of the 90 398 participants (age, 62.4 [7.8] years, 43.5% male) who were included, 2 685 deaths were reported within a median follow-up duration of 6.4 years. Both accelerometer-measured short (adjusted hazard ratios, 1.27; 95% confidence interval [CI]: 1.11-1.45) and long sleep duration (adjusted hazard ratios, 1.16; 95% CI: 1.06-1.28) were positively associated with the risks of all-cause mortality. Lower sleep efficiency was associated with an increased risk of all-cause and cause-specific mortality. Significant interaction existed between accelerometer-measured sleep duration and efficiency for the risk of all-cause mortality (Pinteraction = .001), participants with long sleep duration and lower sleep efficiency had a double mortality risk compared with those with higher sleep efficiency and normal sleep duration (adjusted hazard ratios = 2.11; 95% CI: 1.44-3.09).
Accelerometer-measured short/long sleep duration and lower sleep efficiency were associated with increased risks of mortality. Sleep efficiency modified the effects of long sleep duration on survival.
睡眠时长和效率对健康结果都很重要。然而,很少有研究同时考虑睡眠时长和效率对死亡率风险的预测作用。本研究旨在调查加速度计测量的睡眠时长和效率与全因和特定原因死亡率的独立和联合关联。
英国生物库是一项队列研究,共纳入 50 多万人,于 2006 年至 2010 年期间招募。本研究纳入了 2013 年 2 月至 2015 年 12 月期间佩戴腕部加速度计连续 7 天的参与者。通过国家死亡登记处确定死亡率。
在 90398 名参与者(年龄 62.4[7.8]岁,43.5%为男性)中,中位随访 6.4 年后报告了 2685 例死亡。加速度计测量的短(调整后的危险比,1.27;95%置信区间 [CI]:1.11-1.45)和长睡眠时长(调整后的危险比,1.16;95%CI:1.06-1.28)均与全因死亡率风险增加呈正相关。较低的睡眠效率与全因和特定原因死亡率风险增加相关。加速度计测量的睡眠时长和效率对全因死亡率风险的交互作用具有统计学意义(P 交互值=0.001),与睡眠效率较高且睡眠时长正常的参与者相比,长睡眠时长和较低睡眠效率的参与者死亡率风险增加了两倍(调整后的危险比=2.11;95%CI:1.44-3.09)。
加速度计测量的短/长睡眠时长和较低的睡眠效率与死亡率风险增加相关。睡眠效率改变了长睡眠时长对生存的影响。