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Cognitive fatigability (CF), which refers to a decline in performance during sustained cognitive effort, can significantly impact people with multiple sclerosis (PwMS). This study examined the unmet needs related to perceived CF in PwMS.
Methods:
One hundred PwMS completed a survey assessing factors known to contribute to CF. Participants indicated whether each factor, including CF itself, was disruptive and whether adequate support was available to address these concerns. A factor identified as disruptive and insufficiently addressed was considered an unmet need (Need Index [NI] ≥50%).
Results:
Group-level analysis revealed no significant unmet needs, although fatigue (NI = 30.23), CF (NI = 22.96) and physical activity (NI = 19.55) were more frequently reported. Individual-level analyses revealed that unmet needs varied by community setting (rural vs urban) and socioeconomic status (SES) (lower vs higher SES), with rural participants and those with lower SES reporting higher rates of unmet needs. In addition, PwMS who indicated CF was an unmet need reported more difficulties across most contributory factors, including sleep quality, fatigue, cognitive impairment, depression and contextual factors. The presence of fatigue and CF combined contributed to greater unmet needs across various domains, especially fatigue, CF and cognitive impairment, compared to fatigue alone.
Conclusions:
Participants from rural and low socioeconomic backgrounds were more likely to have unmet needs. Notably, 36% of participants (N = 33) reported unmet needs related to perceived CF. The findings highlight the importance of tailoring future interventions to address identified needs more adequately.
Slowed processing speed impacts employment status in people with multiple sclerosis (PwMS). Studies on the Multiple Sclerosis Functional Composite (MSFC), which includes the Paced Auditory Serial Addition Test (PASAT), have demonstrated that the combined score predicts employment status. Whether PASAT performance alone is associated with employment status is less clear. In addition, no studies have yet evaluated whether cognitive fatigability (CF), as measured with the PASAT, is associated with employment status. The aim of the current study was to examine the association between PASAT performance, CF, and employment status in PwMS.
Methods:
Hundred and eighty-six PwMS completed the PASAT as part of a larger neuropsychological battery. ANOVAs and chi-squares analyzed group differences between employed and unemployed participants with respect to demographics, PASAT performance scores, and CF. Linear regression determined whether PASAT performance and/or CF scores were associated with employment status.
Results:
After controlling for demographic influences, group differences were noted between employed vs. unemployed individuals on PASAT performance scores only. Employment status was associated with PASAT performance scores but not CF.
Conclusions:
The current study confirmed that PASAT performance is associated with employment status in MS. Given that CF was not associated, it seems difficulties with information processing speed (IPS) and working memory have more impact on a PwMS’s ability to remain employed rather than within-task performance decline.
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