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Relationship Between Fatigability and Perceived Fatigue Measured Using the Neurological Fatigue Index in People with Multiple Sclerosis.
Int J MS Care ; 19(5): 232-239, 2017.
Article en En | MEDLINE | ID: mdl-29070963
BACKGROUND: Understanding the relationship between perceived fatigue and performance fatigability could lead to more effective interventions to manage multiple sclerosis (MS)-related fatigue. However, the relationship between self-perceived fatigue measured using the Neurological Fatigue Index (NFI-MS) and performance fatigability in people with MS is unknown. We sought to explore the relationship between the NFI-MS and performance fatigability in people with MS. METHODS: Fifty-two participants (mean ± SD age, 46.8 ± 10.1 years) completed the study. Three measures of performance fatigability were used: percent change in meters walked from first to last minute of the 6-Minute Walk Test, percent change in force exerted from first to last trial on a repetitive maximal hand grip test, and response speed variability on the Continuous Performance Test. Perceived physical and cognitive fatigue were measured using the NFI-MS. The state level of fatigue was examined immediately before and after performing the fatigability measures using a one-item visual analogue fatigue scale. RESULTS: Of the three performance fatigability measures, only the attentional task (response speed variability) was significantly associated with NFI-MS physical (r = 0.326, P = .020) and cognitive (r = 0.276, P = .050) domain scores. Participants demonstrated significantly higher state levels of fatigue after performing all performance fatigability measures (P ≤ .001). CONCLUSIONS: The NFI-MS and the performance fatigability measures used in this study are easy to administer. We encourage wider use of these measures in clinical and research settings for comprehensive assessment of MS-related fatigue.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Int J MS Care Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Int J MS Care Año: 2017 Tipo del documento: Article