Milton Sasha, Cavaillès Clémence, Ancoli-Israel Sonia, Stone Katie L, Yaffe Kristine, Leng Yue
Department of Psychiatry and Behavioral Sciences, University of California, San Francisco.
Department of Psychiatry, University of California, San Diego, La Jolla.
Neurology. 2025 Apr 22;104(8):e213403. doi: 10.1212/WNL.0000000000213403. Epub 2025 Mar 19.
Sleep disruptions are associated with cognitive aging in older adults. However, little is known about longitudinal sleep changes in the oldest old and whether these changes are linked to cognitive impairment. We aimed to determine whether changes in 24-hour multidimensional sleep-wake activity are associated with mild cognitive impairment (MCI) and dementia in oldest old women.
We studied cognitively unimpaired women enrolled in the Study of Osteoporotic Fractures who completed wrist actigraphy twice (baseline and follow-up) and had cognitive status evaluated at follow-up using a neuropsychological battery and adjudication. To identify multidimensional sleep-wake change profiles, we performed hierarchical clustering on principal components on the 5-year changes (median 5.0 [range 3.5-6.3] years) in nighttime sleep (sleep duration, sleep efficiency [SE], and wake after sleep onset [WASO]), napping (duration and frequency), and circadian rest-activity rhythms (RARs; acrophase, amplitude, mesor, and robustness). Using multinomial logistic regression, we evaluated the associations between these profiles-and individual parameter changes-and MCI and dementia risk at follow-up.
Of 733 participants (mean age 82.5 ± 2.9 years), 164 (22.4%) developed MCI and 93 (12.7%) developed dementia by the follow-up visit. We identified 3 sleep-wake change profiles: stable sleep (SS; n = 321 [43.8%]) was characterized by stability or small improvements; declining nighttime sleep (n = 256 [34.9%]) showed decreases in nighttime sleep quality and duration, moderate napping increases, and worsening circadian RARs; and increasing sleepiness (IS; n = 156 [21.3%]) exhibited large increases in daytime and nighttime sleep duration and quality, and worsening circadian RARs. After adjustment for age, education, race, body mass index, diabetes, hypertension, myocardial infarction, antidepressant use, and baseline cognition, women with IS had approximately double the risk of dementia (odds ratio 2.21, 95% CI 1.14-4.26) compared with those with SS. SE, WASO, nap duration, and nap frequency were individually associated with dementia. Neither sleep-wake change profiles nor individual parameters were associated with MCI.
Among community-dwelling women in their 80s, those with increasing 24-hour sleepiness over 5 years had doubled dementia risk during that time. Change in multidimensional 24-hour sleep-wake activity may serve as an early marker or risk factor for dementia in oldest old women.
睡眠中断与老年人的认知衰老相关。然而,对于高龄老年人的纵向睡眠变化以及这些变化是否与认知障碍有关,我们知之甚少。我们旨在确定24小时多维睡眠-觉醒活动的变化是否与高龄老年女性的轻度认知障碍(MCI)和痴呆症有关。
我们研究了参加骨质疏松性骨折研究的认知未受损女性,她们完成了两次手腕活动记录仪监测(基线和随访),并在随访时使用神经心理测试组合和判定对认知状态进行评估。为了识别多维睡眠-觉醒变化模式,我们对夜间睡眠(睡眠时间、睡眠效率[SE]和睡眠后觉醒[WASO])、午睡(时长和频率)以及昼夜休息-活动节律(RARs;峰相位、振幅、中值和稳健性)的5年变化(中位数5.0[范围3.5 - 6.3]年)的主成分进行分层聚类。使用多项逻辑回归,我们评估了这些模式以及个体参数变化与随访时MCI和痴呆症风险之间的关联。
在733名参与者(平均年龄82.5±2.9岁)中,164名(22.4%)在随访时发展为MCI,93名(12.7%)发展为痴呆症。我们识别出3种睡眠-觉醒变化模式:稳定睡眠(SS;n = 321[43.8%])的特征是稳定或有小的改善;夜间睡眠下降(n = 256[34.9%])表现为夜间睡眠质量和时长下降、午睡适度增加以及昼夜RARs恶化;嗜睡增加(IS;n = 156[21.3%])表现为白天和夜间睡眠时间和质量大幅增加以及昼夜RARs恶化。在调整年龄、教育程度、种族、体重指数、糖尿病、高血压、心肌梗死、抗抑郁药使用和基线认知后,与SS模式的女性相比,IS模式的女性患痴呆症的风险大约增加一倍(优势比2.21,95%可信区间1.14 - 4.26)。SE、WASO、午睡时长和午睡频率分别与痴呆症相关。睡眠-觉醒变化模式和个体参数均与MCI无关。
在80多岁的社区居住女性中,5年内24小时嗜睡增加的女性在此期间患痴呆症的风险增加了一倍。24小时多维睡眠-觉醒活动的变化可能是高龄老年女性痴呆症的早期标志物或风险因素。