Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything?

被引:20
作者
Weiss, Aner [1 ]
Mirelman, Anat [1 ,2 ]
Giladi, Nir [1 ,2 ,3 ,4 ]
Barnes, Lisa L. [5 ,6 ,7 ]
Bennett, David A. [5 ,6 ]
Buchman, Aron S. [5 ,6 ]
Hausdorff, Jeffrey M. [1 ,2 ]
机构
[1] Tel Aviv Sourasky Med Ctr, Neurol Inst, Ctr Study Movement Cognit & Mobil, Tel Aviv, Israel
[2] Tel Aviv Univ, Dept Phys Therapy, Sackler Fac Med, Tel Aviv, Israel
[3] Tel Aviv Univ, Sackler Fac Med, Dept Neurol, Tel Aviv, Israel
[4] Tel Aviv Univ, Sagol Sch Neurosci, Tel Aviv, Israel
[5] Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA
[6] Rush Univ, Med Ctr, Dept Neurol Sci, Chicago, IL 60612 USA
[7] Rush Univ, Med Ctr, Dept Behav Sci, Chicago, IL 60612 USA
基金
美国国家卫生研究院;
关键词
Aging; disability; cognition; inertial sensors; accelerometers; turn-to-sit; Timed Up and Go; OLDER-ADULTS; PARKINSONS-DISEASE; AGING PROJECT; RUSH MEMORY; ADAPTATIONS; STRATEGIES; WALKING; YOUNG; RISK; ACCELEROMETER;
D O I
10.1016/j.jamda.2016.06.025
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objective: The Timed Up and Go (TUG), one of the most widely used tests of mobility, has been validated and associated with adverse outcomes in the community, acute care, and nursing home setting. It is composed of several distinct subtasks; however, the temporal relationship when transitioning between subtasks has not been well-studied. We tested the hypothesis that longer transition durations between the final turn to the sitting subtasks are associated with worse motor and cognitive performance in older adults. Methods: A total of 1055 participants (80.33 +/- 7.57 years, 76.96% female) performed the TUG while wearing a 3-dimensional inertial sensor on their lower back. We employed a series of linear regressions to examine the association of the duration between the turn and sitting subtasks with clinical characteristics including motor and cognitive functions. Results: Participants employed 2 different strategies when they transitioned from turning to sitting. (1) Distinct transition strategy: 816 participants (77.34%) first completed the turn before starting to sit. The average duration between these distinct subtasks (D-interval) was 715 +/- 980 ms. (2) Overlapping transition strategy: 239 participants (22.65%) started to sit before completing the turn. The average overlap duration between these tasks (O-interval) was 237 +/- 269 ms. Participants who employed the distinct transition strategy were slightly younger than those who employed the overlapping transition strategy (P <=.013). Higher D-intervals and O-intervals were associated with worse TUG performance (P <=.02), with poorer motor and cognitive function, [ie, worse parkinsonian gait (P <=.001), lower level of perceptual speed (P <=.03), and with worse mobility disability (P <=.001)]. A longer D-interval was associated with worse gait speed and bradykinesia (P <=.001), whereas a longer O-interval was associated with increased rigidity (P=.004). Conclusions: Older adults apparently employ 2 different strategies when transitioning from turning to sitting. The instrumented TUG can characterize additional gait and balance aspects that cannot be derived from traditional TUG assessments. These new measures offer novel targets for intervention to decrease the burden of late-life gait impairment. (C) 2016 AMDA - The Society for Post-Acute and Long-Term Care Medicine.
引用
收藏
页码:864.e9 / 864.e15
页数:7
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