Erschienen in:
01.12.2015 | Cardiovascular Disease in the Elderly (DE Forman, Section Editor)
Relationship Between Accelerometer-Measured Activity and Self-Reported or Performance-Based Function in Older Adults with Severe Aortic Stenosis
verfasst von:
Yufei Tang, Philip Green, Mathew Maurer, Rosa Lazarte, Jonathan Rubin Kuzniecky, Ming Yang Hung, Melissa Garcia, Susheel Kodali, Tamara Harris
Erschienen in:
Current Geriatrics Reports
|
Ausgabe 4/2015
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Abstract
In older adults with aortic stenosis, we evaluated whether accelerometer-measured physical activity provides distinct clinical information apart from self-reported surveys or performance-based function tests. We employed wrist-mounted accelerometry in 52 subjects with severe aortic stenosis prior to transcatheter aortic valve replacement (TAVR). Daily daytime activity was estimated using the maximum 10 h of daily accelerometer-measured activity (M10) reported in activity counts. Subjects completed baseline surveys (New York Heart Association (NYHA), Short Form 12 (SF12), Kansas City Cardiomyopathy Questionnaire (KCCQ), EuroQol-5D (EQ-5D), Revised Life Orientation Test (LOT-R), Life Space, Detailed Activity Form) and performance-based function tests (Short Physical Performance Battery, 6-min walk test distance, grip strength) to estimate functional status. Simple and multiple linear regression models were used to evaluate the relationship between accelerometer-measured activity and survey data and performance-based function tests. Among all baseline surveys and performance-based function tests, the only statistically significant univariable relationships identified were weak, negative associations between M10 and SF-12 Mental Composite Score (R
2 = 0.1970, P = 0.04) and between M10 and grip strength (R
2 = 0.1568, P = 0.004). Neither multiple linear regression of overall survey data (R
2 = 0.6159, P = 0.23) nor performance-based function tests (R
2 = 0.1743, P = 0.10) correlated with M10. Self-reported surveys and performance-based function tests are not meaningfully correlated with daytime accelerometer-measured activity. The results of our study suggest that accelerometer-measured physical activity provides distinct clinical information apart from self-reported surveys or performance-based function tests.