Connolly, L; Chatfield, S; Freeman, J; Salter, A; Amato, MP; Brichetto, G; Chataway, J; ... Feinstein, A; + view all Connolly, L; Chatfield, S; Freeman, J; Salter, A; Amato, MP; Brichetto, G; Chataway, J; Chiaravalloti, ND; Cutter, G; DeLuca, J; Dalgas, U; Farrell, R; Feys, P; Filippi, M; Inglese, M; Meza, C; Moore, NB; Motl, RW; Rocca, MA; Sandroff, BM; Feinstein, A; - view fewer (2024) Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis. Multiple Sclerosis and Related Disorders , 90 , Article 105798. 10.1016/j.msard.2024.105798.

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Abstract

Background: Fatigue is common in people with multiple sclerosis (MS). Understanding the relationship between fatigue, physical and neurobehavioural factors is important to inform future research and practice. Few studies explore this explicitly in people with progressive MS (pwPMS). // Objective: To explore relationships between self-reported fatigue, physical and neurobehavioural measures in a large, international progressive MS sample of cognitively impaired people recruited to the CogEx trial. // Methods: Baseline assessments of fatigue (Modified Fatigue Impact Scale; MFIS), aerobic capacity (VO2peak), time in moderate-vigorous physical activity (MVPA; accelerometery over seven-days), walking performance (6-minute walk test; 6MWT), self-reported walking difficulty (MS Walking Scale; MSWS-12), anxiety and depression (Hospital Anxiety and Depression Scale; HADS and Beck Depression Inventory-II; BDI-II), and disease impact (MS Impact Scale-29, MSIS-29) were assessed. Participants were categorised as fatigued (MFISTotal >=38) or non-fatigued (MFISTotal ≤38). // Statistical Analysis: Differences in individuals categorised as fatigued or non-fatigued were assessed (t-tests, chi square). Pearson's correlation and partial correlations (adjusted for EDSS score, country, sex, and depressive symptoms) determined associations with MFISTotal, MFISPhysical, MFISCognitive and MFISPsychosocial, and the other measures. Multivariable logistic regression evaluated the independent association of fatigue (categorised MFISTotal) with physical and neurobehavioural measures. // Results: The sample comprised 308 pwPMS (62 % female, 27 % primary progressive, 73 % secondary progressive), mean age 52.5 ± 7.2 yrs, median EDSS score 6.0 (4.5–6.5), mean MFISTotal 44.1 ± 17.1, with 67.2 % categorised as fatigued. Fatigued participants walked shorter distances (6MWT, p = 0.043), had worse MSWS-12 scores (p < 0.001), and lower average % in MVPA (p = 0.026). The magnitude of associations was mostly weak between MFISTotal and physical measures (r = 0.13 to 0.18), apart from the MSWS-12 where it was strong (r = 0.51). The magnitude of correlations were strong between the MFISTotal and neurobehavioural measures of anxiety (r = 0.56), depression (r = 0.59), and measures of disease impact (MSIS-physical r = 0.67; MSIS-mental r = 0.71). This pattern was broadly similar for the MSIF subscales. The multivariable model indicated a five-point increase in MSWS-12 was associated with a 14 % increase in the odds of being fatigued (OR [95 %CI]: 1.14 [1.07–1.22], p < 0.0001) // Conclusion: Management of fatigue should consider both physical and neurobehavioural factors, in cognitively impaired persons with progressive MS.

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