Merilahti J, Korhonen I
Juho Merilahti, VTT Technical Research Centre of Finland, researcher at Digital Health group, Kaitoväylä 1, 90570, P.O. Box 1100, Oulu, Finland, Tel: +358 40 7781 104, Fax: +358 20 722 3380, E-mail:
J Frailty Aging. 2016;5(4):225-232. doi: 10.14283/jfa.2016.102.
Physical functioning is a key factor in independent living, and its preclinical state assessment and monitoring during the subject's normal life would be beneficial.
The aim of the study is to analyse associations between ambulatory measured physical activity behaviour and sleep patterns (wrist actigraphy) and self-reported difficulties in performing activities of daily living. Participants, setting and design: 36 residents in assisted living facilities and nursing homes (average age=80.4±9.0 years) without dementia in free living conditions participated. Actigraphic monitoring is integrated with the facilities' social alarm system.
Indices on activity level, activity rhythm, sleep pattern and external stimuli response of sleep-wake behaviours were extracted from the actigraph data and correlated (Spearman rank-order correlation) with activities of daily living measures. Bonferroni correction for multiple comparisons was applied.
Activity level (ρ=-0.49, p<0.05) and night-time activity variance (ρ=-0.69, p<0.01) had correlation with the activities of daily living scores. The similarity of subject-wise activity pattern to facility common activities had a trend with activities of daily living (ρ=-0.44, p<0.1). In longitudinal case analysis, sleep and activity patterns were found to be associated with local weather variables.
Activity patterns as measured by actigraphy may provide objective information on older people's behaviour related to functioning state and its changes in nursing home and assisted living facility settings. However, variance between individuals was large in this dataset which decreases the reliability of the results. Furthermore, external stimuli such as weather and facility-related activities can affect subjects' activity and sleep behaviour and should be considered in the related studies as well.
身体功能是独立生活的关键因素，在受试者正常生活期间对其临床前状态进行评估和监测将大有裨益。
本研究旨在分析动态测量的身体活动行为与睡眠模式（手腕活动记录仪）之间的关联，以及自我报告的日常生活活动困难。参与者、地点和设计：36名居住在辅助生活设施和养老院的居民（平均年龄=80.4±9.0岁），在自由生活条件下且无痴呆症，参与了研究。活动记录仪监测与设施的社会警报系统相结合。
从活动记录仪数据中提取睡眠-觉醒行为的活动水平、活动节律、睡眠模式和外部刺激反应指标，并与日常生活活动测量值进行相关性分析（斯皮尔曼等级相关）。应用Bonferroni多重比较校正。
活动水平（ρ=-0.49，p<0.05）和夜间活动方差（ρ=-0.69，p<0.01）与日常生活活动得分相关。个体活动模式与设施常见活动的相似性与日常生活活动有一定趋势（ρ=-0.44，p<0.1）。在纵向病例分析中，发现睡眠和活动模式与当地天气变量有关。
通过活动记录仪测量的活动模式可能为老年人在养老院和辅助生活设施环境中与功能状态及其变化相关的行为提供客观信息。然而，该数据集中个体之间的差异较大，这降低了结果的可靠性。此外，天气和设施相关活动等外部刺激会影响受试者的活动和睡眠行为，在相关研究中也应予以考虑。
