Mehra Reena, Stone Katie L, Ancoli-Israel Sonia, Litwack-Harrison Stephanie, Ensrud Kristine E, Redline Susan
Department of Medicine and Center of Clinical Investigation, Case School of Medicine, Cleveland, OH 44106-6003, USA.
Sleep. 2008 Nov;31(11):1569-76. doi: 10.1093/sleep/31.11.1569.
Although wrist actigraphy-derived sleep indices correlate with adverse health outcomes, it is unclear whether these indices identify specific sleep disorders.
Overnight polysomnography and > or = three 24-h periods of wrist actigraphy were performed in the Study of Osteoporotic Fractures (SOF) (n = 455, age: 73-96 y). Actigraphy identified those with reduced sleep efficiency (SE, < 70%) and decreased sleep duration (< or = 5 h). Sleep disorders considered were: (1) sleep-disordered breathing (SDB): respiratory disturbance index > or =15 and (2) periodic limb movement disorder (PLMD): periodic limb movement-arousal index > or =5. Multivariable logistic regression analyses modeled each sleep disorder as the dependent variable with wrist actigraphy measures, age, race, medication use, depression, body mass index, activity, mental status, and comorbidity as independent variables.
In multivariable models, poor SE derived from wrist actigraphy was associated with 2.4-fold higher odds of SDB (OR = 2.43, 95% CI: 1.43-4.14) and PLMD (OR = 2.36, 95% CI: 1.34-4.15). Reduced sleep duration was associated with 3.2-fold higher odds of SDB (OR = 3.18, 95% CI: 1.51-6.68), and a 3.8-fold higher odds of PLMD (OR = 3.77, 95% CI: 1.78-7.95).
In elderly women, wrist actigraphy-ascertained reduced SE and sleep duration are associated with objective measures of SDB and PLMD. Thus, although not able to discriminate between the different sleep disorders, variations in wrist actigraphy measures collected in epidemiologic studies may identify individuals at higher risk of SDB or PLMD.
尽管通过手腕活动记录仪得出的睡眠指标与不良健康结果相关,但尚不清楚这些指标是否能识别特定的睡眠障碍。
在骨质疏松性骨折研究(SOF)中(n = 455,年龄:73 - 96岁),进行了夜间多导睡眠图检查以及≥三个24小时的手腕活动记录仪监测。活动记录仪识别出睡眠效率降低(SE,< 70%)和睡眠时间减少(≤5小时)的人群。所考虑的睡眠障碍包括:(1)睡眠呼吸紊乱(SDB):呼吸紊乱指数≥15;(2)周期性肢体运动障碍(PLMD):周期性肢体运动 - 觉醒指数≥5。多变量逻辑回归分析将每种睡眠障碍作为因变量,以手腕活动记录仪测量值、年龄、种族、药物使用、抑郁、体重指数、活动、精神状态和合并症作为自变量进行建模。
在多变量模型中,通过手腕活动记录仪得出的睡眠效率差与患SDB的几率高2.4倍相关(OR = 2.43,95% CI:1.43 - 4.14)以及与患PLMD的几率高2.4倍相关(OR = 2.36,95% CI:1.34 - 4.15)。睡眠时间减少与患SDB的几率高3.2倍相关(OR = 3.18,95% CI:1.51 - 6.68),以及与患PLMD的几率高3.8倍相关(OR = 3.77,95% CI:1.78 - 7.95)。
在老年女性中,通过手腕活动记录仪确定的睡眠效率降低和睡眠时间减少与SDB和PLMD的客观测量指标相关。因此,尽管无法区分不同的睡眠障碍,但在流行病学研究中收集的手腕活动记录仪测量值的变化可能识别出患SDB或PLMD风险较高的个体。