scholarly journals Compensatory strategy use improves real-world functional performance in community dwelling older adults.

2019 ◽  
Vol 33 (8) ◽  
pp. 1121-1135 ◽  
Author(s):  
Alyssa Weakley ◽  
Andrew T. Weakley ◽  
Maureen Schmitter-Edgecombe
2020 ◽  
Vol 7 ◽  
Author(s):  
Shirley Handelzalts ◽  
Neil B. Alexander ◽  
Nicholas Mastruserio ◽  
Linda V. Nyquist ◽  
Debra M. Strasburg ◽  
...  

2010 ◽  
Vol 16 (7) ◽  
pp. 795-797 ◽  
Author(s):  
Trentham P. Furness ◽  
Wayne E. Maschette ◽  
Christian Lorenzen ◽  
Geraldine A. Naughton ◽  
Morgan D. Williams

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4661
Author(s):  
Jeremiah Hauth ◽  
Safa Jabri ◽  
Fahad Kamran ◽  
Eyoel W. Feleke ◽  
Kaleab Nigusie ◽  
...  

Loss-of-balance (LOB) events, such as trips and slips, are frequent among community-dwelling older adults and are an indicator of increased fall risk. In a preliminary study, eight community-dwelling older adults with a history of falls were asked to perform everyday tasks in the real world while donning a set of three inertial measurement sensors (IMUs) and report LOB events via a voice-recording device. Over 290 h of real-world kinematic data were collected and used to build and evaluate classification models to detect the occurrence of LOB events. Spatiotemporal gait metrics were calculated, and time stamps for when LOB events occurred were identified. Using these data and machine learning approaches, we built classifiers to detect LOB events. Through a leave-one-participant-out validation scheme, performance was assessed in terms of the area under the receiver operating characteristic curve (AUROC) and the area under the precision recall curve (AUPR). The best model achieved an AUROC ≥0.87 for every held-out participant and an AUPR 4-20 times the incidence rate of LOB events. Such models could be used to filter large datasets prior to manual classification by a trained healthcare provider. In this context, the models filtered out at least 65.7% of the data, while detecting ≥87.0% of events on average. Based on the demonstrated discriminative ability to separate LOBs and normal walking segments, such models could be applied retrospectively to track the occurrence of LOBs over an extended period of time.


2016 ◽  
Vol 24 (2) ◽  
pp. 207-213 ◽  
Author(s):  
Dennis Wayne Klima ◽  
Catherine Anderson ◽  
Dina Samrah ◽  
Dipal Patel ◽  
Kevin Chui ◽  
...  

While considerable research has targeted physical performance in older adults, less is known about the ability to rise from the floor among community-dwelling elders. The purposes of the study were to (1) examine physical performance correlates of timed supine to stand performance and (2) identify the predominant motor pattern used to complete floor rise. Fifty-three community-dwelling adults over the age of 60 (x = 78.5 ± 8.5; 36 [68%] females) performed a timed supine to stand test and physical performance assessments. Forty-eight subjects (90.6%) demonstrated an initial roll with asymmetrical squat sequence when rising to stand. Supine to stand performance time was significantly correlated with all physical performance tests, including gait speed (r = −.61; p < .001), grip strength (r = −.30; p < .05), and Timed Up and Go (TUG) performance (r = .71; p < .001). Forty-eight percent of the variance in rise time (p < .001) was attributed to TUG velocity. Findings serve to enhance both functional performance assessment and floor rise interventions.


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