Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
School of Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
Int J Geriatr Psychiatry. 2024 Oct;39(10):e6155. doi: 10.1002/gps.6155.
Long sleep duration predicts adverse health outcomes in older adults. Impaired cardiac autonomic control (CAC) is a potential pathomechanism that links this relationship; however, the causal relationship between long sleep duration and CAC remains unclear. This study aimed to determine the temporal relationship between long sleep duration and poor CAC.
This is a community-based, fixed-cohort, follow-up study that recruited community-dwelling older adults aged ≥ 65 years. Self-reported sleep duration was categorized as short (≤ 5 h), mid-range (6-7 h), and long (≥ 8 h). Participants with short or long sleep duration were defined as cases. CAC was measured using heart rate variability (HRV), and cases were classified using cutoffs defined by the lowest quintiles of four HRV parameters. Non-case participants for sleep duration or CAC at baseline were followed. Binary and multinomial logistic regression analyses were conducted to examine baseline variables that predicted incident CAC decline and changes in sleep duration, respectively.
A total of 772 individuals were recruited, with a mean follow-up period of 5.8 ± 1.7 years. In multivariable analyses, long sleep duration at baseline predicted a higher risk of cardiac vagal control decline in the follow-up visit (odds ratio: 1.86, 95% confidence interval: 1.00-3.44). Conversely, all HRV parameters at baseline failed to predict changes in sleep duration at the follow-up visit.
Long sleep duration seems to precede the decline in CAC in community-dwelling older adults.
长睡眠时间与老年人的不良健康结果相关。心脏自主神经控制(CAC)受损是一种潜在的病理机制,将这种关系联系在一起;然而,长睡眠时间与 CAC 之间的因果关系尚不清楚。本研究旨在确定长睡眠时间与 CAC 不良之间的时间关系。
这是一项基于社区的固定队列随访研究,招募了≥ 65 岁的社区居住的老年人。自我报告的睡眠时间分为短(≤ 5 小时)、中程(6-7 小时)和长(≥ 8 小时)。睡眠时间短或长的参与者被定义为病例。使用心率变异性(HRV)测量 CAC,根据四个 HRV 参数的最低五分位数定义病例。对睡眠持续时间或 CAC 基线无病例的参与者进行随访。进行二项和多项逻辑回归分析,以检查预测 CAC 下降和睡眠持续时间变化的基线变量。
共招募了 772 人,平均随访时间为 5.8±1.7 年。在多变量分析中,基线时的长睡眠时间预测了随访时心脏迷走神经控制下降的更高风险(比值比:1.86,95%置信区间:1.00-3.44)。相反,基线时的所有 HRV 参数均未能预测随访时睡眠持续时间的变化。
长睡眠时间似乎先于社区居住的老年人 CAC 的下降。