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

Author

Listed:
  • Fayaz Khan

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Sami Abusharha

    (Department of Occupational Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Aljowhara Alfuraidy

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Khadeeja Nimatallah

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Raghad Almalki

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Rafa’a Basaffar

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Mawada Mirdad

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Mohamed Faisal Chevidikunnan

    (Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Reem Basuodan

    (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.

Suggested Citation

  • Fayaz Khan & Sami Abusharha & Aljowhara Alfuraidy & Khadeeja Nimatallah & Raghad Almalki & Rafa’a Basaffar & Mawada Mirdad & Mohamed Faisal Chevidikunnan & Reem Basuodan, 2022. "Prediction of Factors Affecting Mobility in Patients with Stroke and Finding the Mediation Effect of Balance on Mobility: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(24), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16612-:d:999644
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    References listed on IDEAS

    as
    1. Kyeongbong Lee & DongGeon Lee & SoungKyun Hong & DooChul Shin & SeYeon Jeong & HyeonHui Shin & Wonjae Choi & SeungHeon An & GyuChang Lee, 2021. "The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-9, August.
    2. SeungHeon An & YunBok Lee & HyeonHui Shin & GyuChang Lee, 2015. "Gait velocity and walking distance to predict community walking after stroke," Nursing & Health Sciences, John Wiley & Sons, vol. 17(4), pages 533-538, December.
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