Factors contributing to falls in people with multiple sclerosis: The exploration of the moderation and mediation effects-Reference-Cited by-同舟云学术

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Factors contributing to falls in people with multiple sclerosis: The exploration of the moderation and mediation effects

Published:2023-08 Issue: Volume:76 Page:104838
ISSN:2211-0348
Container-title:Multiple Sclerosis and Related Disorders
language:en
Short-container-title:Multiple Sclerosis and Related Disorders

Author:

Jawad Adel,Baattaiah Baian A.,Alharbi Mutasim D.,Chevidikunnan Mohamed Faisal,Khan Fayaz

Funder

King Abdulaziz University

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology,General Medicine

Reference91 articles.

1. Demographic and disease characteristics of multiple sclerosis in the Southwest Region of Saudi Arabia;Al-Abdullah;NSJ,2018

2. Psychometric properties of an Arabic translation of the modified fatigue impact scale in patients with multiple sclerosis;Alawami;Disabil. Rehabil.,2021

3. Rising prevalence of multiple sclerosis in Saudi Arabia, a descriptive study;AlJumah;BMC Neurol.,2020

4. Stride time variability as a marker for higher level of gait control in multiple sclerosis: its association with fear of falling;Allali;J. Neural Transm.,2016

5. Multiple Sclerosis in Saudi Arabia: a literature review;Al-Saeed;Saudi J. Health Sci.,2021

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1. Walking performance differs between people with multiple sclerosis who perform distinct types of exercise;Neurodegenerative Disease Management;2024-08-19

2. Exploring nurses' clinical judgment concerning the relative importance of fall risk factors: A mixed method approach using the Q Methodology;International Journal of Nursing Studies;2024-05

3. The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review;Journal of Medical Internet Research;2024-04-29

4. Examination of Risk Factors Associated With Falls and Injurious Falls in People With Multiple Sclerosis: An Updated Nationwide Study;Archives of Physical Medicine and Rehabilitation;2023-12

5. Applications of Artificial Intelligence for assessing fall risk: A systematic review (Preprint);2023-11-28

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