|
Document Type |
: |
Thesis |
|
Document Title |
: |
Predicting the Factors Affecting Falls in People with Multiple Sclerosis التنبؤ بالعوامل المؤثرة في السقوط لدى المصابين بالتصلب المتعدد Predicting the Factors Affecting Falls in People with Multiple Sclerosis |
|
Subject |
: |
Faculty of Medical Rehabilitation Sciences |
|
Document Language |
: |
Arabic |
|
Abstract |
: |
Background: Prevalence of Multiple Sclerosis (MS) has been significantly increased in the last decades. Individuals with MS are at high risk of fall; these falls may lead to serious problems. Hence, this study aimed to assess the factors affecting falls in MS population and mapping out the most significant variable.
Methods:
One hundred and three patients with a mean age of (32.09 ± 7.17) having MS were enrolled. All patients were assessed for different variables including balance, using Berg balance scale (BBS), speed of gait using timed up go (TUG) test, Fear of falling using Falls Efficacy Scale International (FES-I), level of fatigue using Modified Fatigue Impact Scale (MFIS) and digital dynamometer for assessing the strength of lower limbs.
Results:
Balance, fatigue, speed of gait, and fear of fall, were the most significant variables in falls prediction. The number of falls in last 3-months showed significant positive correlations with TUG (r=0.550); FES-I (r=0.407); MFIS (r=0.416); and a significant negative correlation with BBS (r=-0.596). Simple binary logistic regression analysis showed a significant result for TUG, FES-I, MFIS and BBS. In fact, the relative risk of fall for TUG was (1.184); FES-I (1.062); MFIS (1.042); and BBS was (10.889). Furthermore, the results of the multiple logistic regression analysis showed a 3-step model, which showed relative risk of BBS (3.924); TUG (1.122); and MFIS (1.029). In the comparison of measured parameters between faller and non-faller group, TUG, FES-I and MFIS were significantly higher in faller group than non-faller group (p <0.0001); while BBS values of faller group were significantly lower than non-faller group (p <0.0001).
Conclusion:
Balance, fatigue, speed of gait, and fear of falling are the most important variables in the prediction of falls among individuals with MS. |
|
Supervisor |
: |
Dr. Fayaz Khan |
|
Thesis Type |
: |
Master Thesis |
|
Publishing Year |
: |
1443 AH
2022 AD |
|
Added Date |
: |
Wednesday, January 4, 2023 |
|
Researchers
| عادل محمود جواد | Jawad, Adel Mahmoud | Researcher | Master | |
|