FACTORS ASSOCIATED WITH CHANGES IN GAIT SPEED IN OLDER ADULTS

Citation
Dm. Buchner et al., FACTORS ASSOCIATED WITH CHANGES IN GAIT SPEED IN OLDER ADULTS, The journals of gerontology. Series A, Biological sciences and medical sciences, 51(6), 1996, pp. 297-302
Citations number
18
Categorie Soggetti
Geiatric & Gerontology","Geiatric & Gerontology
ISSN journal
10795006
Volume
51
Issue
6
Year of publication
1996
Pages
297 - 302
Database
ISI
SICI code
1079-5006(1996)51:6<297:FAWCIG>2.0.ZU;2-D
Abstract
Background. The study addressed whether changes in gait speed in commu nity-dwelling older adults were associated with changes in fitness (st rength and aerobic capacity), physical health status, and/or depressiv e symptoms. Methods. The study sample comprised 152 community-dwelling adults aged 68-85 who had participated in an exercise study. Study me asures at baseline and 6-month follow-up included gait speed, a leg st rength score, maximal aerobic capacity (VO(2)max), CES-Depression scal e, and physical health status (SIP Physical Dimension). Results. In cr oss-sectional regression analyses, leg strength, VO(2)max, weight, and the strength by VO(2)max interaction term were significant independen t predictors of gait speed (R(2) = 26%). Based upon the observed 7% in crease in VO(2)max and 8% increase in strength in the exercise groups, the regression model predicted only a 2% (1.5 m/min) increase in gait speed, which did not differ significantly from the observed increase of 0% (.32 m/min). The strongest correlate of change in gait speed was change in CES-D scores (partial R = -.37). Change in physical health status also correlated with change in gait speed (partial R = -.28), w hile change in fitness did not. Conclusions. The results suggest, in t he range of fitness of the study sample, that changes in gait speed ar e related to changes in depressive symptoms and physical health status , but not to modest changes in fitness. A model assuming nonlinear rel ationships may be appropriate for understanding how strength and aerob ic capacity affect gait speed.