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Risk Profiles for Falls among Older Adults: New Directions for Prevention.


ABSTRACT: OBJECTIVE:To address whether neighborhood factors, together with older adults' levels of health and functioning, suggest new combinations of risk factors for falls and new directions for prevention. To explore the utility of Grade-of-Membership (GoM) analysis to conduct this descriptive analysis. METHOD:This is a cross-sectional, descriptive study of 884 people aged ?65?years from Alameda County, CA, Cook County, IL, Allegheny County, PA, and Wake and Durham counties, NC. Interviews focused on neighborhood characteristics, physical and cognitive function, walking, and falls and injuries. Four risk profiles (higher order interactions of individual and neighborhood factors) were derived from GoM analysis. RESULTS:Profiles 1 and 2 reflect previous results showing that frail older adults are likely to fall indoors (Profile 1); healthy older adults are likely to fall outdoors (Profile 2). Profile 3 identifies the falls risk for older with mild cognitive impairment living in moderately walkable neighborhoods. Profile 4 identifies the risk found for healthy older adults living in neighborhoods with low walkability. DISCUSSION:Neighborhood walkability, in combination with levels of health and functioning, is associated with both indoor and outdoor falls. Descriptive results suggest possible research hypotheses and new directions for prevention, based on individual and neighborhood factors.

SUBMITTER: Satariano WA 

PROVIDER: S-EPMC5539824 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Risk Profiles for Falls among Older Adults: New Directions for Prevention.

Satariano William A WA   Wang Constance C   Kealey Melissa E ME   Kurtovich Elaine E   Phelan Elizabeth A EA  

Frontiers in public health 20170802


<h4>Objective</h4>To address whether neighborhood factors, together with older adults' levels of health and functioning, suggest new combinations of risk factors for falls and new directions for prevention. To explore the utility of Grade-of-Membership (GoM) analysis to conduct this descriptive analysis.<h4>Method</h4>This is a cross-sectional, descriptive study of 884 people aged ≥65 years from Alameda County, CA, Cook County, IL, Allegheny County, PA, and Wake and Durham counties, NC. Intervie  ...[more]

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