Alzahrani N, Bamutraf O, Mukhtar S, Mazi A, Jawad A, Khan A, Alqarni AM, Basuodan R, Khan F. Exploring key factors associated with falls in people with multiple sclerosis: The role of trunk impairment and other contributing factors.
Heliyon 2024;
10:e39589. [PMID:
39506966 PMCID:
PMC11538756 DOI:
10.1016/j.heliyon.2024.e39589]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 10/17/2024] [Accepted: 10/17/2024] [Indexed: 11/08/2024] Open
Abstract
Background
Falls are a common and consequential concern for persons with multiple sclerosis (PwMS), with trunk impairment frequently observed even in the early stages of the disease. However, the relationship between falls and trunk impairment using the trunk impairment scale in this population remains unclear. This study aims to explore this association and identify potential factors contributing to falls in PwMS.
Method
Sixty-four patients were assessed for falls or near falls in the past 6 months, trunk impairment using the Trunk Impairment Scale (TIS), balance and gait using the Performance-Oriented Mobility Assessment (POMA), depression and anxiety using the Hospital Anxiety and Depression Scale (HADS), fatigue using the Modified Fatigue Impact Scale (MFIS), and fear of falling using the Modified Falls Efficacy Scale (MFES).
Results
Simple binary logistic regression revealed significant associations for TIS (OR = 0.75, p = 0.001, 95 % CI: 0.63 to 0.88), POMA (OR = 0.75, p ≤ 0.001, 95 % CI: 0.65 to 0.87), MFES (OR = 0.96, p ≤ 0.001, 95 % CI: 0.93 to 0.98), MFIS (OR = 1.05, p = 0.002, 95 % CI: 1.02 to 1.08), and HADS (OR = 1.09, p = 0.01, 95 % CI: 1.02 to 1.17). The multiple logistic regression model identified TIS (OR = 0.78, p = 0.007, 95 % CI: 0.66 to 0.94) and MFES (OR = 0.96, p = 0.005, 95 % CI: 0.93 to 0.98) as significant factors of falls.
Conclusion
This study confirms the significant impact of trunk impairment, tested by the trunk impairment scale and fear of falling as factors of falls among PwMS. Additionally, it highlights the roles of balance, gait, fatigue, and depression as factors that contribute to fall risk. These findings suggest that a comprehensive assessment incorporating these elements may be crucial for developing effective fall prevention strategies in this population. This research underscores the need for targeted interventions that address both physical and psychological aspects to mitigate the risk of falls in PwMS.
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