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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Depression is a predictor for balance in people with multiple sclerosis
Alia A Alghwiri1, Hanan Khalil2, Alham Al-Sharman2
1The University of Jordan, School of Rehabilitation Sciences, Department of Physical Therapy, Amman 11942, Jordan.
Depression is common in multiple sclerosis (MS) and significantly predicts balance impairments. Early evaluation and treatment of depression are crucial for individuals with MS to improve balance and rehabilitation outcomes.
Area of Science:
- Neurology
- Psychiatry
- Rehabilitation Medicine
Background:
- Balance impairments are prevalent and multifactorial in multiple sclerosis (MS).
- Depression is the most common psychological disorder in MS, strongly correlated with disease progression.
- The link between depression and balance deficits in MS remains underexplored.
Purpose of the Study:
- To investigate the association between depression and balance impairments in people with MS.
- To determine if depression predicts balance deficits in the MS population.
Main Methods:
- Cross-sectional study design involving patients with MS.
- Balance assessed using the Activities-specific Balance Confidence (ABC) and Berg Balance Scale (BBS).
- Depression quantified by the Beck Depression Inventory (BDI-II); MS disability by the Kurtzke Expanded Disability Status Scale (EDSS).
- Pearson correlation and multiple linear stepwise regression analyses were employed.
Main Results:
- 53% of 75 MS patients exhibited depression; mean age 38.8 years, mean EDSS 3.0.
- Depression showed significant correlations with balance measures (ABC, BBS) and EDSS.
- Regression analysis identified depression and age as significant predictors of balance.
Conclusions:
- Depression is frequent and significantly associated with balance impairments in MS.
- Depression is a key predictor of balance deficits in individuals with MS.
- Addressing depression is vital for effective balance rehabilitation in MS patients.
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