Prediction of Factors Affecting Mobility in Patients with Stroke and Finding the Mediation Effect of Balance on Mobility: A Cross-Sectional Study

Fayaz Khan; Sami Abusharha; Aljowhara Alfuraidy; Khadeeja Nimatallah; Raghad Almalki; Rafa'a Basaffar; Mawada Mirdad; Mohamed Faisal Chevidikunnan; Reem Basuodan

doi:10.3390/ijerph192416612

Prediction of Factors Affecting Mobility in Patients with Stroke and Finding the Mediation Effect of Balance on Mobility: A Cross-Sectional Study

Int J Environ Res Public Health. 2022 Dec 10;19(24):16612. doi: 10.3390/ijerph192416612.

Authors

Fayaz Khan¹, Sami Abusharha², Aljowhara Alfuraidy¹, Khadeeja Nimatallah¹, Raghad Almalki¹, Rafa'a Basaffar¹, Mawada Mirdad¹, Mohamed Faisal Chevidikunnan¹, Reem Basuodan³

Affiliations

¹ Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
² Department of Occupational Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
³ Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Abstract

(1) Background: Regaining mobility after stroke is essential to facilitate patient independency in activities of daily living. Predicting post-stroke mobility is clinically important and plays a significant part in rehabilitation programs. The purpose of this study is to find the factors affecting mobility in patients with stroke and to analyze the mediation effect of balance on mobility. (2) Methods: This cross-sectional study included forty-one patients with stroke averaging an age of 57.2 ± 88.6. The Rivermead Mobility Index (RMI) was used for measuring the mobility, Timed Up and Go (TUG) to measure the walking speed, Berg Balance Scale (BBS) to assess the balance and a handheld dynamometer (HHD) was used for measuring the isometric strength of the ankle and knee. (3) Results: In regression analysis balance (β=0.58; p≤ 0.0001) and walking speed (β=-0.27; p=0.04) were the significant factors predicting mobility. (4) Conclusions: Balance and gait speed were the factors that influenced mobility in stroke patients, indicating the utility of measuring these aspects in order to provide appropriate rehabilitation programs.

Keywords: balance; gait; lower limb; mediation; mobility; prediction; stroke.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Activities of Daily Living
Cross-Sectional Studies
Gait
Humans
Physical Therapy Modalities
Postural Balance
Stroke Rehabilitation*
Stroke*
Walking

Grants and funding

This work was funded by the Princess Nourah bint Abdulrahman University researchers supporting project number (PNURSP2022R267), Princess Nourah bint Abdulrahman University, Riyadh, P.O. Box 84428, Riyadh 11671, Saudi Arabia.