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Evaluating the Role of Coping Style as a Moderator of Fatigue and Risk for Future Cognitive Impairment in Multiple Sclerosis

Published online by Cambridge University Press:  07 July 2014

Dede M. Ukueberuwa  and
Peter A. Arnett
Dede M. Ukueberuwa*
Affiliation:
Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania
Peter A. Arnett
Affiliation:
Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania
*
Correspondence and reprint requests to: Dede M. Ukueberuwa, Department of Psychology, The Pennsylvania State University, 372 Bruce V. Moore Building, University Park, PA 16802. E-mail: [email protected]
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Abstract

Approximately 50% of persons with multiple sclerosis experience cognitive impairment, which adversely affects daily functioning. Although patients report that fatigue contributes to cognitive difficulties, previous empirical studies do not show a clear association. This study assessed coping style as a moderator of the relationship between fatigue and cognition in a 3-year longitudinal sample. Scores on the Fatigue Impact Scale and the Coping Orientation to Problems Experienced (COPE) at baseline were modeled to predict later performance on a composite of cognitive tests to investigate the hypothesis that coping would have a significant moderating effect on fatigue in predicting cognitive performance. Findings partially supported hypotheses by showing that avoidant coping moderated the relationship between fatigue and cognitive performance. Patients who experienced relatively high fatigue performed better on cognitive tests if they used less avoidant coping. Those who reported lower fatigue had relatively good cognitive performance regardless of their coping style. This study provides evidence that coping style is associated with the ability to deal with stress, like fatigue, and their interaction can impact functional outcomes of disease. These results could benefit understanding of prognosis and improve treatment for patients with MS. (JINS, 2014, 20, 1–5.)

Keywords

Nervous system diseaseCognitive symptomsPsychological factorsCoping skillsStressLongitudinal studies
Type
Brief Communication
Information
Journal of the International Neuropsychological Society , Volume 20 , Issue 7 , August 2014 , pp. 751 - 755
Copyright
Copyright © The International Neuropsychological Society 2014 

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References

Arnett, P.A., Higginson, C.I., Voss, W.D., Bender, W.I., Wurst, J.M., & Tippin, J.M. (1999). Depression in multiple sclerosis: Relationship to working memory capacity. Neuropsychology, 13(4), 546–556.CrossRefGoogle ScholarPubMed
Arnett, P.A., Higginson, C.I., Voss, W.D., Randolph, J.J., & Grandey, A.A. (2002). Relationship between coping, cognitive dysfunction and depression in multiple sclerosis. The Clinical Neuropsychologist, 16(3), 341–355.CrossRefGoogle ScholarPubMed
Benedict, R.H., Bruce, J., Dwyer, M.G., Weinstock-Guttman, B., Tjoa, C., Tavazzi, E., … Zivadinov, R. (2007). Diffusion-weighted imaging predicts cognitive impairment in multiple sclerosis. Multiple Sclerosis, 13(6), 722–730.CrossRefGoogle ScholarPubMed
Bruce, J.M., & Arnett, P.A. (2005). MS patients with depressive symptoms exhibit affective memory biases when verbal encoding strategies are suppressed. Journal of the International Neuropsychological Society, 11(5), 514–521.Google Scholar
Carver, C.S., Scheier, M.F., & Weintraub, J.K. (1989). Assessing coping strategies: A theoretically based approach. Journal of Personality and Social Psychology, 56(2), 267–283.Google Scholar
Christodoulou, C., Melville, P., Scherl, W.F., Macallister, W.S., Elkins, L.E., & Krupp, L.B. (2006). Effects of donepezil on memory and cognition in multiple sclerosis. Journal of the Neurological Sciences, 245(1–2), 127–136.Google Scholar
Compston, A., & Coles, A. (2008). Multiple sclerosis. Lancet, 372(9648), 1502–1517.CrossRefGoogle ScholarPubMed
Diamond, B.J., Johnson, S.K., Kaufman, M., & Graves, L. (2008). Relationships between information processing, depression, fatigue and cognition in multiple sclerosis. Archives of Clinical Neuropsychology, 23(2), 189–199.Google Scholar
Eriksen, H.R., Murison, R., Pensgaard, A.M., & Ursin, H. (2005). Cognitive activation theory of stress (CATS): From fish brains to the Olympics. Psychoneuroendocrinology, 30(10), 933–938.Google Scholar
Fisk, J.D., Pontefract, A., Ritvo, P.G., Archibald, C.J., & Murray, T.J. (1994). The impact of fatigue on patients with multiple sclerosis. Canadian Journal of Neurological Sciences, 21(1), 9–14.CrossRefGoogle ScholarPubMed
Kalmar, J.H., Gaudino, E.A., Moore, N.B., Halper, J., & Deluca, J. (2008). The relationship between cognitive deficits and everyday functional activities in multiple sclerosis. Neuropsychology, 22(4), 442–449.Google Scholar
Lerdal, A., Celius, E.G., Krupp, L., & Dahl, A.A. (2007). A prospective study of patterns of fatigue in multiple sclerosis. European Journal of Neurology, 14(12), 1338–1343.Google Scholar
Lincoln, N.B., Dent, A., Harding, J., Weyman, N., Nicholl, C., Blumhardt, L.D., & Playford, E.D. (2002). Evaluation of cognitive assessment and cognitive intervention for people with multiple sclerosis. Journal of Neurology, Neurosurgery, & Psychiatry, 72(1), 93–98.Google Scholar
Morrow, S.A., Weinstock-Guttman, B., Munschauer, F.E., Hojnacki, D., & Benedict, R.H. (2009). Subjective fatigue is not associated with cognitive impairment in multiple sclerosis: Cross-sectional and longitudinal analysis. Multiple Sclerosis, 15(8), 998–1005.Google Scholar
Multiple Sclerosis Council for Clinical Practice Guidelines. (1998). Fatigue and multiple sclerosis: Evidence-based management strategies for fatigue in multiple sclerosis. Washington, DC: Paralyzed Veterans of America.Google Scholar
Parmenter, B.A., Denney, D.R., & Lynch, S.G. (2003). The cognitive performance of patients with multiple sclerosis during periods of high and low fatigue. Multiple Sclerosis, 9(2), 111–118.Google Scholar
Plohmann, A.M., Kappos, L., Ammann, W., Thordai, A., Wittwer, A., Huber, S., … Lechner-Scott, J. (1998). Computer assisted retraining of attentional impairments in patients with multiple sclerosis. Journal of Neurology, Neurosurgery, & Psychiatry, 64(4), 455–462.Google Scholar
Polman, C., Reingold, S., Banwell, B., Clanet, M., Cohen, B.J., Filippi, M., … Wolinsky, J.S. (2010). Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald Criteria. Annals of Neurology, 69, 292–302.Google Scholar
Rabinowitz, A.R., & Arnett, P.A. (2009). A longitudinal analysis of cognitive dysfunction, coping, and depression in multiple sclerosis. Neuropsychology, 23(5), 581–591.Google Scholar
Robertson, I.H., Ward, T., Ridgeway, V., & Nimmo-Smith, I. (1994). The test of everyday attention: TEA. Edmunds, UK: Thames Valley Test Company.Google Scholar
Thorsteinsson, E.B., & Brown, R.F. (2009). Mediators and moderators of the stressor-fatigue relationship in nonclinical samples. Journal of Psychosomatic Research, 66(1), 21–29.Google Scholar