Predictive Models of Cognitive Fatigue in Multiple Sclerosis

Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists
Jason A BerardLisa A S Walker

Abstract

Cognitive fatigue (CF) can be defined as decreased performance with sustained cognitive effort. The present study examined the interrelatedness of disease severity, fatigue, depression, and sleep quality in order to evaluate their predictive roles of CF in MS. Four theoretical models examining these variables were assessed. Fifty-eight individuals with a diagnosis of MS were recruited. CF was measured by examining last third versus first third performance on the Paced Auditory Serial Addition Test (PASAT). The PASAT and self-report measures of fatigue, depression, and sleep quality were administered. Path analysis was used to evaluate each of the models. CF was correlated only with depression (r = .362, p = .006) and sleep quality (r = .433, p = .001). Sleep quality was the greatest significant independent predictor of CF (β = .433, t(1,55) = 3.53, p < .001), accounting for 17.3% of the total variance. The best fitting model showed sleep quality as the largest contributor to CF; however, depression played a smaller predictive role. Furthermore, depression emerged as the strongest predictor of sleep quality and fatigue. Disease severity weakly predicted depression. Sleep quality is the most significant predictor of CF in MS. As ...Continue Reading

References

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Citations

Oct 6, 2019·Neurology and Therapy·Lisa A S WalkerJason A Berard
Apr 24, 2021·Frontiers in Neuroscience·Carolina Ferreira-AtuestaSharmilee Gnanapavan
Jun 3, 2021·Cognitive and Behavioral Neurology : Official Journal of the Society for Behavioral and Cognitive Neurology·Jason A Berard, Lisa A S Walker

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