Literature DB >> 35924968

Relationships Among Environmental Variables, Physical Capacity, Balance Self-Efficacy, and Real-World Walking Activity Post-Stroke.

Allison Miller1, Ryan T Pohlig2, Darcy S Reisman1,3.   

Abstract

BACKGROUND: Social and physical environmental factors affect real-world walking activity in individuals with stroke. However, environmental factors are often non-modifiable, presenting a challenge for clinicians working with individuals with stroke whose real-world walking is limited due to environmental barriers.
OBJECTIVE: The purpose of this work was to test a model hypothesizing the relationships among environmental factors (specifically, living situation and area deprivation), modifiable factors, and real-world walking activity to understand opportunities for intervention. We hypothesized that balance self-efficacy would mediate the relationship between the environment and real-world walking and that physical capacity would moderate this mediation.
METHODS: This was a cross-sectional study of 282 individuals with chronic (≥6 months) stroke. We tested the indirect effect to determine if mediation was present. Multiple group structural equation modeling was used to test if physical capacity moderated this mediation. A χ2 difference test was used to compare the moderation model against the null (no moderation) model.
RESULTS: Balance self-efficacy mediated the relationship between area deprivation and real-world walking (indirect effect: β = -0.04, P = .04). Both the moderation and null models fit the data equally well statistically (χ2(5) = 6.9, P = .23). We therefore accepted the simpler (null) model and concluded that the mediation was not moderated.
CONCLUSIONS: Targeting balance self-efficacy may be an effective approach to improving real-world walking in persons with stroke who experience barriers within the physical environment. A stroke survivor's physical capacity may not impact this approach. Future work should consider utilizing more specific measures of the social and physical environment to better understand their influences on real-world walking activity in individuals with stroke. However, the results of this work provide excellent targets for future longitudinal studies targeting real-world walking activity in stroke.

Entities:  

Keywords:  physical activity; rehabilitation; theoretical model

Mesh:

Year:  2022        PMID: 35924968      PMCID: PMC9377718          DOI: 10.1177/15459683221115409

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   4.895


  57 in total

1.  Physical activity profiles and sedentary behaviour in people following stroke: a cross-sectional study.

Authors:  Lorna Paul; Stephen Brewster; Sally Wyke; Jason M R Gill; Gillian Alexander; Aleksandra Dybus; Danny Rafferty
Journal:  Disabil Rehabil       Date:  2015-05-04       Impact factor: 3.033

2.  Self-efficacy Mediates the Relationship between Balance/Walking Performance, Activity, and Participation after Stroke.

Authors:  Margaret A French; Meghan F Moore; Ryan Pohlig; Darcy Reisman
Journal:  Top Stroke Rehabil       Date:  2015-12-10       Impact factor: 2.119

3.  Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness.

Authors:  Kathleen M Michael; Jerilyn K Allen; Richard F Macko
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

4.  Factors associated with community ambulation in chronic stroke.

Authors:  Sarah Durcan; Evelyn Flavin; Frances Horgan
Journal:  Disabil Rehabil       Date:  2015-04-09       Impact factor: 3.033

5.  Accuracy of 2 activity monitors in detecting steps in people with stroke and traumatic brain injury.

Authors:  George D Fulk; Stephanie A Combs; Kelly A Danks; Coby D Nirider; Bhavana Raja; Darcy S Reisman
Journal:  Phys Ther       Date:  2013-09-19

Review 6.  Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Salim S Virani; Clifton W Callaway; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Stephanie E Chiuve; Mary Cushman; Francesca N Delling; Rajat Deo; Sarah D de Ferranti; Jane F Ferguson; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Pamela L Lutsey; Jason S Mackey; David B Matchar; Kunihiro Matsushita; Michael E Mussolino; Khurram Nasir; Martin O'Flaherty; Latha P Palaniappan; Ambarish Pandey; Dilip K Pandey; Mathew J Reeves; Matthew D Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Uchechukwu K A Sampson; Gary M Satou; Svati H Shah; Nicole L Spartano; David L Tirschwell; Connie W Tsao; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
Journal:  Circulation       Date:  2018-01-31       Impact factor: 29.690

7.  Environmental, psychological, and social influences on physical activity among Japanese adults: structural equation modeling analysis.

Authors:  Kaori Ishii; Ai Shibata; Koichiro Oka
Journal:  Int J Behav Nutr Phys Act       Date:  2010-08-05       Impact factor: 6.457

8.  Relationship Between Walking Capacity, Biopsychosocial Factors, Self-efficacy, and Walking Activity in Persons Poststroke.

Authors:  Kelly A Danks; Ryan T Pohlig; Margie Roos; Tamara R Wright; Darcy S Reisman
Journal:  J Neurol Phys Ther       Date:  2016-10       Impact factor: 3.649

9.  Activity Monitor Placed at the Nonparetic Ankle Is Accurate in Measuring Step Counts During Community Walking in Poststroke Individuals: A Validation Study.

Authors:  Noémie C Duclos; Larissa T Aguiar; Rachid Aissaoui; Christina D C M Faria; Sylvie Nadeau; Cyril Duclos
Journal:  PM R       Date:  2019-03-15       Impact factor: 2.298

10.  Neighborhood deprivation and biomarkers of health in Britain: the mediating role of the physical environment.

Authors:  M Pia Chaparro; Michaela Benzeval; Elizabeth Richardson; Richard Mitchell
Journal:  BMC Public Health       Date:  2018-06-27       Impact factor: 3.295

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