ArticleHeliyon2024
Exploring key factors associated with falls in people with multiple sclerosis: The role of trunk impairment and other contributing factors.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The trunk impairment scale: is it a useful tool for discriminating fall risk in patients with multiple sclerosis?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Linking Pathogenesis to Fall Risk in Multiple Sclerosis.Archives of internal medicine research · 2025Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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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