Abstract
The objective of the current investigation was to explore performance-based predictors of decline in the performance quality of everyday tasks as a first step for early identification, screening, and referral to minimize disability in community-dwelling older adults. This was a secondary analysis of data from 256 community-based older women. Mobility, activities of daily living (ADLs), and instrumental activities of daily living (IADLs) were measured using the Performance Assessment of Self-Care Skills (PASS). Logistic regression models explored cognitive and motor predictors of performance quality while controlling for demographics and diagnoses. Functional reach ( p = .049) and cognition ( p = .012) were predictive of mobility quality, whereas balance ( p = .007) and the Keitel Function ( p = .005) were predictive of ADL quality. Manipulation and cognitive measures were predictive of cognitive and physical IADL quality. Cognitive and physical screens are both important to identify older adults at risk for disability.
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