0179 Factor Analysis of Multidimensional Sleep Health Domains in Older Adults with Actigraphy: Results from the Einstein Aging Study
0179 Factor Analysis of Multidimensional Sleep Health Domains in Older Adults with Actigraphy: Results from the Einstein Aging Study
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0179 体动记录仪对老年人多维睡眠健康领域的因素分析：爱因斯坦衰老研究的结果
DOI：
10.1093/sleep/zsac079.177
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发表时间：
2022
期刊：
影响因子：
5.6
通讯作者：
O. Buxton
中科院分区：
文献类型：
--
作者：
Linying Ji;Meredith J. Wallace;L. Master;Margeaux M. Schade;Ruixue Zhaoyang;C. Derby;O. Buxton
睡眠健康的概念基于 RU-SATED 模型中的自我报告，最近使用从一组老年人中 4 天的体动记录仪得出的参数进行了扩展，产生了 5 个组成部分的模型。当前的因素分析使用来自另一项研究的较长体动记录时间序列，评估并扩展了老年人的理论驱动的多维睡眠健康结构。
参加爱因斯坦衰老研究的参与者（N = 291，平均年龄 = 77.2 岁，33% 男性；47% 白人，40% 黑人，13% 西班牙裔/其他人）均纳入其中。使用 100 名参与者的随机子样本进行探索性因素分析 (EFA)；其余参与者 (N=191) 的数据用于验证性因素分析 (CFA)。所有 23 项客观测量（平均 15.6 有效天+/-SD=1.2）均来自腕部体动记录仪，其中 16 项来自体动记录仪汇总统计数据，7 项来自扩展余弦模型。 CFA模型的拟合度通过CFI、TLI、RMSEA、SRMR进行评估。
与之前的研究一致，β 未包含在最终的因子结构中，因为它在所有六个因子上的负载较低。对每个因子进行 CFA，模型拟合结果令人满意（CFI > 0.94，TLI >0.92，RMSEA 90% 置信区间范围为 0 至 0.23，SRMR <0.05）。 EFA 确定了 6 个因素，其中 5 个与之前的研究一致，以及之前未发现的第六个假设因素（节律性）。规律性（跨天睡眠）：四种睡眠指标的标准差；中点、睡眠开始时间、夜间总睡眠时间 (TST) 和 24 小时 TST。警觉性/睡意（白天）：幅度、小睡（分钟和#/天）。时间：睡眠开始、中点、唤醒时间（夜间睡眠）； up-Mesor、acrophase、down-Mesor。效率：睡眠维持效率、入睡后醒来。持续时间：夜间睡眠持续时间、夜间 TST、24 小时睡眠持续时间、24 小时 TST。节律（跨天模式）：mesor、alpha 和最小值。
这些发现扩展了多维睡眠健康结构，在了解老年人的扩展客观数据后，将节奏维度纳入其中。这些因素可以被视为健康结果的预测因素和睡眠干预的目标。
P01-AG003949、R01-AG062622、NIA-AG03949
The concept of Sleep Health, based on self-reports in the RU-SATED model, has been recently extended using parameters derived from 4 days of actigraphy in a cohort of older adults, yielding a 5-component model. Using a longer actigraphy time series from a separate study, the current factor analysis evaluates and extends a theoretically-driven, multi-dimensional sleep health construct in older adults.
Participants (N=291, mean age=77.2 years, 33% males; 47% white, 40% Black, 13% Hispanic/others) enrolled in The Einstein Aging Study were included. A random subsample of 100 participants were used for exploratory factor analysis (EFA); data from the remaining participants (N=191) were used for confirmatory factor analyses (CFA). All 23 objective measures (mean 15.6 valid days +/-SD=1.2) were derived from wrist actigraphy, including 16 from the actigraphy summary statistics, and 7 from extended cosinor models. Fit of CFA models were evaluated by CFI, TLI, RMSEA, SRMR.
Consistent with prior research, beta was not included in the final factor structure because of its low loading on all six factors. CFA was performed on each factor and model fitting results were satisfactory (CFI > 0.94, TLI >0.92, RMSEA 90% confidence interval ranges from 0 to 0.23, and SRMR <0.05). EFA identified 6 factors, 5 consistent with prior research, and a sixth hypothesized factor (Rhythmicity) not identified previously.REGULARITY (of sleep across days): standard deviations of four sleep measures; midpoint, sleep onset time, night total sleep time (TST), and 24h TST.ALERTNESS/Sleepiness (daytime): amplitude, napping (mins and #/day).TIMING: sleep onset, midpoint, wake-time (of nighttime sleep); up-Mesor, acrophase, down-Mesor.EFFICIENCY: sleep maintenance efficiency, wake after sleep onset.DURATION: night sleep duration, night TST, 24h sleep duration, 24h TST.RHYTHMICITY (pattern across days): mesor, alpha, and minimum.
These findings extend a multidimensional Sleep Health construct to include a Rhythmicity dimension when informed by extended objective data from older adults. Factors can be considered predictors of health outcomes, and targets for sleep interventions.
P01-AG003949, R01-AG062622, NIA-AG03949