Citation

Danks KA, Pohlig RT, Roos M, Wright TR, Reisman DS. J. Neurol. Phys. Ther. 2016; 40(4): 232-238.

Affiliation

Department of Physical Therapy (K.A.D., T.R.W., D.S.R.), Biomechanics and Movement Science Program (D.S.R.), and Biostatistics Core Facility (R.T.P.), University of Delaware, Newark; and Department of Physical Therapy (M.R.), University of the Sciences in Philadelphia, Philadelphia, Pennsylvania.

Copyright

(Copyright © 2016, Neurology Section, American Physical Therapy Association)

DOI

10.1097/NPT.0000000000000143

PMID

27548750

Abstract

BACKGROUND/PURPOSE: Many factors appear to be related to physical activity after stroke, yet it is unclear how these factors interact and which ones might be the best predictors. Therefore, the purpose of this study was twofold: (1) to examine the relationship between walking capacity and walking activity, and (2) to investigate how biopsychosocial factors and self-efficacy relate to walking activity, above and beyond walking capacity impairment poststroke.

METHODS: Individuals greater than 3 months poststroke (n = 55) completed the Yesavage Geriatric Depression Scale (GDS), Fatigue Severity Scale (FSS), Modified Cumulative Illness Rating (MCIR) Scale, Walk 12, Activities-Specific Balance Confidence (ABC) Scale, Functional Gait Assessment (FGA), and oxygen consumption testing. Walking activity data were collected via a StepWatch Activity Monitor. Predictors were grouped into 3 constructs: (1) walking capacity: oxygen consumption and FGA; (2) biopsychosocial: GDS, FSS, and MCIR; (3) self-efficacy: Walk 12 and ABC. Moderated sequential regression models were used to examine what factors best predicted walking activity.

RESULTS: Walking capacity explained 35.9% (P < 0.001) of the variance in walking activity. Self-efficacy (ΔR = 0.15, P < 0.001) and the interaction between the FGA×ABC (ΔR = 0.047, P < 0.001) significantly increased the variability explained. The FGA (β = 0.37, P = 0.01), MCIR (β = -0.26, P = 0.01), and Walk 12 (β = -0.45, P = 0.00) were each individually significantly associated with walking activity.

DISCUSSION/CONCLUSION: Although measures of walking capacity and self-efficacy significantly contributed to "real-world" walking activity, balance self-efficacy moderated the relationship between walking capacity and walking activity. Improving balance self-efficacy may augment walking capacity and translate to improved walking activity poststroke.Video abstract is available for more insights from the authors (see Supplemental Digital Content 1, http://links.lww.com/JNPT/A139).

Language: en