Literature DB >> 33561276

Does Falls Efficacy Influence the Relationship Between Forward and Backward Walking Speed After Stroke?

Kanika Bansal1,2, David J Clark1,3, Emily J Fox1,2, Dorian K Rose1,2,3.   

Abstract

OBJECTIVE: Forward walking speed (FWS) is known to be an important predictor of mobility, falls, and falls-related efficacy poststroke. However, backward walking speed (BWS) is emerging as an assessment tool to reveal mobility deficits in people poststroke that may not be apparent with FWS alone. Since backward walking is more challenging than forward walking, falls efficacy may play a role in the relationship between one's preferred FWS and BWS. We tested the hypothesis that people with lower falls efficacy would have a stronger positive relationship between FWS and BWS than those with higher falls efficacy.
METHODS: Forty-five individuals (12.9 ± 5.6 months poststroke) participated in this observational study. We assessed FWS with the 10-meter walk test and BWS with the 3-meter backward walk test. The modified Falls-Efficacy Scale (mFES) quantified falls efficacy. A moderated regression analysis examined the hypothesis.
RESULTS: FWS was positively associated with BWS (R2 = 0.26). The addition of the interaction term FWS × mFES explained 7.6% additional variance in BWS. As hypothesized, analysis of the interaction revealed that people with lower falls efficacy (mFES ≤ 6.6) had a significantly positive relationship between their preferred FWS and BWS, whereas people with higher falls efficacy (mFES > 6.6) had no relationship between their walking speed in the 2 directions.
CONCLUSIONS: FWS is positively related to BWS poststroke, but this relationship is influenced by one's perceived falls efficacy. Our results suggest that BWS can be predicted from FWS in people with lower falls efficacy, but as falls efficacy increases, BWS becomes a separate and unassociated construct from FWS. IMPACT: This study provides unique evidence that the degree of falls efficacy significantly influences the relationship between FWS and BWS poststroke. Physical therapists should examine both FWS and BWS in people with higher falls efficacy, but further investigation is warranted for those with lower falls efficacy.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Gait; Rehabilitation; Self-Efficacy; Stroke

Mesh:

Year:  2021        PMID: 33561276      PMCID: PMC8152901          DOI: 10.1093/ptj/pzab050

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  41 in total

Review 1.  Assessing walking speed in clinical research: a systematic review.

Authors:  James E Graham; Glenn V Ostir; Steven R Fisher; Kenneth J Ottenbacher
Journal:  J Eval Clin Pract       Date:  2008-05-02       Impact factor: 2.431

2.  Preferred and energetically optimal transition speeds during backward human locomotion.

Authors:  Alan Hreljac; Rodney Imamura; Rafael F Escamilla; Jeffrey Casebolt; Mitell Sison
Journal:  J Sports Sci Med       Date:  2005-12-01       Impact factor: 2.988

3.  Dual-task mobility among individuals with chronic stroke: changes in cognitive-motor interference patterns and relationship to difficulty level of mobility and cognitive tasks.

Authors:  Lei Yang; Freddy M Lam; Meizhen Huang; Chengqi He; Marco Y Pang
Journal:  Eur J Phys Rehabil Med       Date:  2017-09-25       Impact factor: 2.874

Review 4.  Stroke epidemiology: advancing our understanding of disease mechanism and therapy.

Authors:  Bruce Ovbiagele; Mai N Nguyen-Huynh
Journal:  Neurotherapeutics       Date:  2011-07       Impact factor: 7.620

5.  Fast gait speed and self-perceived balance as valid predictors and discriminators of independent community walking at 6 months post-stroke--a preliminary study.

Authors:  Marlene Cristina Rosa; Alda Marques; Sara Demain; Cheryl D Metcalf
Journal:  Disabil Rehabil       Date:  2014-04-23       Impact factor: 3.033

6.  Falls and fear of falling: which comes first? A longitudinal prediction model suggests strategies for primary and secondary prevention.

Authors:  Susan M Friedman; Beatriz Munoz; Sheila K West; Gary S Rubin; Linda P Fried
Journal:  J Am Geriatr Soc       Date:  2002-08       Impact factor: 5.562

7.  Fear of falling in stroke patients: relationship with previous falls and functional characteristics.

Authors:  Asa G Andersson; Kitty Kamwendo; Peter Appelros
Journal:  Int J Rehabil Res       Date:  2008-09       Impact factor: 1.479

8.  Psychometric Properties of the Lower Extremity Subscale of the Fugl-Myer Assessment for Community-dwelling Hemiplegic Stroke Patients.

Authors:  Eun Young Park; Yoo Im Choi
Journal:  J Phys Ther Sci       Date:  2014-11-13

9.  Dynamic balance and instrumented gait variables are independent predictors of falls following stroke.

Authors:  Kelly Bower; Shamala Thilarajah; Yong-Hao Pua; Gavin Williams; Dawn Tan; Benjamin Mentiplay; Linda Denehy; Ross Clark
Journal:  J Neuroeng Rehabil       Date:  2019-01-07       Impact factor: 4.262

10.  Normality tests for statistical analysis: a guide for non-statisticians.

Authors:  Asghar Ghasemi; Saleh Zahediasl
Journal:  Int J Endocrinol Metab       Date:  2012-04-20
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