Predictors of older adults' personal and community mobility: using a comprehensive theoretical mobility framework.

Year of Publication
2014
Author
Journal
Gerontologist
Volume
54
Issue
3
Number of Pages
398-408
ISSN Number
1758-5341
Abstract

PURPOSE OF THE STUDY: Forty-six percent of older adults report limitations in their mobility, and maintaining mobility is considered an important factor in keeping adults independent and active in later life. This study tests a comprehensive theoretical framework of mobility (Webber, S. C., Porter, M. M., & Menec, V. H. [2010]. Mobility in older adults: A comprehensive framework. The Gerontologist, 50[4], 443-450. doi:10.1093/geront/gnq013) identifying multiple determinants that additively influence mobility (financial, psychosocial, environmental, physical, and cognitive), as well as cross-cutting influences of gender, culture, and biography.

DESIGN AND METHODS: Structural equation modeling was used to examine several models of mobility using data from 6,112 respondents in the Health and Retirement Study (mean age: 74.74, 85% white, 41% male, 57% married).

RESULTS: The original measurement model fit the data well. When both personal and community mobility were simultaneously predicted, only the physical, cognitive, psychosocial, and environmental determinants were retained in the independent models. Age and marital status also predicted personal and community mobility. Although most of these relationships were in the expected direction, interestingly when both forms of mobility were included in the model, poorer cognitive ability was associated with greater personal mobility in the final model.

IMPLICATIONS: Results indicate the importance of accounting for and examining comprehensive models of mobility. The factors affecting older adults' mobility are complex, and these relationships need to be explored in more depth to ensure the maintenance of individuals' independence and quality of life.

Date Published
2014 Jun
DOI
10.1093/geront/gnt054
Alternate Journal
Gerontologist
PMID
23749391
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