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Synergistic Effects of Reserve and Adaptive Personality in Multiple Sclerosis

Published online by Cambridge University Press:  06 May 2016

Shumita Roy
Affiliation:
Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
Carolyn E. Schwartz
Affiliation:
DeltaQuest Foundation, Inc., Concord, Massachusetts Departments of Medicine and Orthopaedic Surgery, Tufts University Medical School, Boston, Massachusetts
Paul Duberstein
Affiliation:
Department of Psychiatry and Rochester Health Care Decision Making Group, University of Rochester Medical Center, Rochester, New York
Michael G. Dwyer
Affiliation:
Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
Robert Zivadinov
Affiliation:
Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
Niels Bergsland
Affiliation:
Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy
Victoria Powell
Affiliation:
DeltaQuest Foundation, Inc., Concord, Massachusetts
Bianca Weinstock-Guttman
Affiliation:
Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
Ralph H.B. Benedict*
Affiliation:
Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
*
Correspondence and reprint requests to: Ralph H.B. Benedict, Neurology, Buffalo General Hospital, Suite E2, 100 High Street, Buffalo, NY 14203. E-mail: benedict@buffalo.edu

Abstract

Objectives: Cognitive reserve moderates the effects of gray matter (GM) atrophy on cognitive function in neurological disease. Broadly speaking, Reserve explains how persons maintain function in the face of cerebral injury in cognitive and other functional domains (e.g., physical, social). Personality, as operationalized by the Five Factor Model (FFM), is also implicated as a moderator of this relationship. It is conceivable that these protective mechanisms are related. Prior studies suggest links between Reserve and personality, but the degree to which these constructs overlap and buffer the clinical effects of neuropathology is unclear. Methods: We evaluated Reserve and FFM traits—Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness—in a cohort of 67 multiple sclerosis (MS) patients. We also examined the extent to which FFM traits and aspects of Reserve interact in predicting cognitive processing speed. Results: Retrospectively reported educational/occupational achievement was associated with higher Openness, and childhood social engagement was associated with higher Extraversion, Agreeableness, and Conscientiousness. Current involvement in exercise activities and social activities was associated with Extraversion, current involvement in hobbies was associated with Neuroticism, and current receptive behaviors were associated with Agreeableness and Conscientiousness. When tested as predictors, Conscientiousness and childhood enrichment activities interacted in predicting cognitive processing speed after accounting for age, disease duration, disability, and GM volume. Conclusions: Childhood enrichment activities and Conscientiousness have a synergistic effect on cognitive processing speed. Current findings have implications for using psychological interventions to foster both Reserve and adaptive personality characteristics to stave off clinical symptoms in MS. (JINS, 2016, 22, 920–927)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2016 

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References

Amato, M.P., Razzolini, L., Goretti, B., Stromillo, M.L., Rossi, F., Giorgio, A., & De Stefano, N. (2013). Cognitive reserve and cortical atrophy in multiple sclerosis: A longitudinal study. Neurology, 80(19), 17281733. doi:10.1212/WNL.0b013e3182918c6f CrossRefGoogle ScholarPubMed
Argyle, M., & Lu, L. (1990). Happiness and social skills. Personality and Individual Differences, 11(12), 12551261. doi:10.1016/0191-8869(90)90152-H CrossRefGoogle Scholar
Axelsson, M., Brink, E., Lundgren, J., & Lötvall, J. (2011). The influence of personality traits on reported adherence to medication in individuals with chronic disease: An epidemiological study in West Sweden. PLoS One, 6(3), e18241. doi:10.1371/journal.pone.0018241 CrossRefGoogle ScholarPubMed
Benedict, R.H., Morrow, S.A., Weinstock-Guttman, B., Cookfair, D., & Schretlen, D.J. (2010). Cognitive reserve moderates decline in information processing speed in multiple sclerosis patients. Journal of the International Neuropsychological Society, 16(5), 829835. doi:10.1017/s1355617710000688 Google Scholar
Benedict, R.H., Schwartz, C.E., Duberstein, P., Healy, B., Hoogs, M., Bergsland, N., & Zivadinov, R. (2013). Influence of personality on the relationship between gray matter volume and neuropsychiatric symptoms in multiple sclerosis. Psychosomatic Medecine, 75(3), 253261. doi:10.1097/PSY.0b013e31828837cc CrossRefGoogle ScholarPubMed
Benedict, R.H., & Zivadinov, R. (2011). Risk factors for and management of cognitive dysfunction in multiple sclerosis. Nature Reviews. Neurolology, 7(6), 332342. doi:10.1038/nrneurol.2011.61 CrossRefGoogle ScholarPubMed
Benedict, R.H.B., Hussein, S., Englert, J., Dwyer, M., Abdelrahman, N., Cox, J.L., & Zivadinov, R. (2008). Cortical atrophy and personality in multiple sclerosis. Neuropsychology, 22, 432441.CrossRefGoogle ScholarPubMed
Booth, A.J., Rodgers, J.D., Schwartz, C.E., Quaranto, B.R., Weinstock-Guttman, B., Zivadinov, R., &Benedict, R.H. (2013). Active cognitive reserve influences the regional atrophy to cognition link in multiple sclerosis. Journal of the International Neuropsychological Society, 19(10), 11281133. doi:10.1017/s1355617713001082 CrossRefGoogle ScholarPubMed
Chapman, B.P., Hampson, S., & Clarkin, J. (2014). Personality-informed interventions for healthy aging: Conclusions from a National Institute on Aging work group. Developmental Psychology, 50(5), 14261441. doi:10.1037/a0034135 CrossRefGoogle ScholarPubMed
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155159.CrossRefGoogle ScholarPubMed
Costa, P.T., & McCrae, R.R. (1992). Professional manual for the revised NEO personality inventory and NEO Five-Factor Inventory. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
DeYoung, C.G., Peterson, J.B., & Higgins, D.M. (2005). Sources of openness/intellect: Cognitive and neuropsychological correlates of the fifth factor of personality. Journal of Personality, 73(4), 825858. doi:10.1111/j.1467-6494.2005.00330.x CrossRefGoogle ScholarPubMed
Duberstein, P.R., Chapman, B.P., Tindle, H.A., Sink, K.M., Bamonti, P., Robbins, J., & Franks, P. (2011). Personality and risk for Alzheimer’s disease in adults 72 years of age and older: A 6-year follow-up. Psychology and Aging, 26(2), 351362. doi:10.1037/a0021377 Google Scholar
Godin, G., & Shephard, R.J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Sciences, 10(3), 141146.Google Scholar
Hill, P.L., & Roberts, B.W. (2011). The role of adherence in the relationship between conscientiousness and perceived health. Health Psychology, 30(6), 797804. doi:10.1037/a0023860 Google Scholar
Hindle, J.V., Hurt, C.S., Burn, D.J., Brown, R.G., Samuel, M., Wilson, K.C., & Clare, L. (2016). The effects of cognitive reserve and lifestyle on cognition and dementia in Parkinson’s disease-a longitudinal cohort study. International Journal of Geriatric Psychiatry, 31(1), 1323. doi:10.1002/gps.4284 CrossRefGoogle ScholarPubMed
Hosmer, D.W. Jr., & Lemeshow, S. (1989). Applied logistic repression. New York: John Wiley & Sons.Google Scholar
Krasner, M.S., Epstein, R.M., Beckman, H., Suchman, A.L., Chapman, B., Mooney, C.J., & Quill, T.E. (2009). Association of an educational program in mindful communication with burnout, empathy, and attitudes among primary care physicians. JAMA, 302(12), 12841293. doi:10.1001/jama.2009.1384 CrossRefGoogle ScholarPubMed
McCrae, R.R., Costa, P.T. Jr., Terracciano, A., Parker, W.D., Mills, C.J., De Fruyt, F., & Mervielde, I. (2002). Personality trait development from age 12 to age 18: Longitudinal, cross-sectional, and cross-cultural analyses. Journal of Personality and Social Psychology, 83(6), 14561468.Google Scholar
Modica, C.M., Bergsland, N., Dwyer, M.G., Ramasamy, D.P., Carl, E., Zivadinov, R., & Benedict, R.H. (2016). Cognitive reserve moderates the impact of subcortical gray matter atrophy on neuropsychological status in multiple sclerosis. Multiple Sclerosis, 22, 3642. doi:10.1177/1352458515579443 CrossRefGoogle ScholarPubMed
Montuschi, A., Iazzolino, B., Calvo, A., Moglia, C., Lopiano, L., Restagno, G., & Chio, A. (2015). Cognitive correlates in amyotrophic lateral sclerosis: A population-based study in Italy. Journal of Neurology, Neurosurgery, and Psychiatry, 86(2), 168173. doi:10.1136/jnnp-2013-307223 Google Scholar
O’Connor, M.C., & Paunonen, S.V. (2007). Big Five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43(5), 971990. doi:10.1016/j.paid.2007.03.017 CrossRefGoogle Scholar
Parmenter, B.A., Weinstock-Guttman, B., Garg, N., Munschauer, F., & Benedict, R.H.B. (2007). Screening for cognitive impairment in MS using the Symbol Digit Modalities Test. Multiple Sclerosis, 13, 5257.Google Scholar
Peterson, N.G., Mumford, M.D., Borman, W.C., Richard, J.P., & Fleishman, E.A. (1999). An occupational information system for the 21st century: The development of O*NET. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Robins Wahlin, T.B., & Byrne, G.J. (2011). Personality changes in Alzheimer’s disease: A systematic review. International Journal of Geriatric Psychiatry, 26(10), 10191029. doi:10.1002/gps.2655 CrossRefGoogle ScholarPubMed
Rocca, M.A., Amato, M.P., De Stefano, N., Enzinger, C., Geurts, J.J., & Penner, I.K., . . . MAGNIMS Study Group. (2015). Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurology, 14(3), 302317. doi:10.1016/S1474-4422(14)70250-9 Google Scholar
Scarmeas, N., Levy, G., Tang, M.X., Manly, J., & Stern, Y. (2001). Influence of leisure activity on the incidence of Alzheimer’s disease. Neurology, 57(12), 22362242.CrossRefGoogle ScholarPubMed
Schwartz, C.E., Ayandeh, A., Ramanathan, M., Benedict, R., Dwyer, M.G., Weinstock-Guttman, B., & Zivadinov, R. (2015). Reserve-building activities in multiple sclerosis patients and healthy controls: A descriptive study. BMC Neurology, 15, 135. doi:10.1186/s12883-015-0395-0 Google Scholar
Schwartz, C.E., Ayandeh, A., Rodgers, J.D., Duberstein, P., Weinstock-Guttman, B., & Benedict, R.H. (2015). A new perspective on proxy report: Investigating implicit processes of understanding through patient-proxy congruence. Quality of Life Research, 24, 26372649. doi:10.1007/s11136-015-1017-4 Google Scholar
Schwartz, E.S., Chapman, B.P., Duberstein, P.R., Weinstock-Guttman, B., & Benedict, R.H. (2011). The NEO-FFI in Multiple Sclerosis: Internal consistency, factorial validity, and correspondence between self and informant reports. Assessment, 18(1), 3949. doi:10.1177/1073191110368482 Google Scholar
Smith, A. (1982). Symbol digit modalities test: Manual. Los Angeles: Western Psychological Services.Google Scholar
Smith, S.M., Zhang, Y., Jenkinson, M., Chen, J., Matthews, P.M., Federico, A., & De Stefano, N. (2002). Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage, 17, 479489.Google Scholar
Sole-Padulles, C., Bartres-Faz, D., Junque, C., Vendrell, P., Rami, L., Clemente, I.C., & Molinuevo, J.L. (2009). Brain structure and function related to cognitive reserve variables in normal aging, mild cognitive impairment and Alzheimer’s disease. Neurobiology of Aging, 30(7), 11141124. doi:10.1016/j.neurobiolaging.2007.10.008 Google Scholar
Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47(10), 20152028. doi:10.1016/j.neuropsychologia.2009.03.004 CrossRefGoogle ScholarPubMed
Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer’s disease. Lancet Neurology, 11(11), 10061012. doi:10.1016/s1474-4422(12)70191-6 Google Scholar
Sumowski, J.F., Chiaravalloti, N., Wylie, G., & Deluca, J. (2009). Cognitive reserve moderates the negative effect of brain atrophy on cognitive effi ciency in multiple sclerosis. Journal of the International Neuropsychological Society, 15, 606612.Google Scholar
Sumowski, J.F., Rocca, M.A., Leavitt, V.M., Dackovic, J., Mesaros, S., Drulovic, J., & Filippi, M. (2014). Brain reserve and cognitive reserve protect against cognitive decline over 4.5 years in MS. Neurology, 82(20), 17761783. doi:10.1212/wnl.0000000000000433 Google Scholar
Sumowski, J.F., Wylie, G.R., Gonnella, A., Chiaravalloti, N., & Deluca, J. (2010). Premorbid cognitive leisure independently contributes to cognitive reserve in multiple sclerosis. Neurology, 75(16), 14281431. doi:10.1212/WNL.0b013e3181f881a6 Google Scholar
Tang, T.Z., DeRubeis, R.J., Hollon, S.D., Amsterdam, J., Shelton, R., & Schalet, B. (2009). Personality change during depression treatment: A placebo-controlled trial. Archives of General Psychiatry, 66(12), 13221330. doi:10.1001/archgenpsychiatry.2009.166 Google Scholar
Uttl, B. (2002). North American Adult Reading Test: Age norms, reliability, and validity. Journal of Clinical and Experimental Neuropsychology, 24(8), 11231137. doi:10.1076/jcen.24.8.1123.8375 Google Scholar
Vemuri, P., Lesnick, T.G., Przybelski, S.A., Machulda, M., Knopman, D.S., Mielke, M.M., & Jack, C.R. Jr. (2014). Association of lifetime intellectual enrichment with cognitive decline in the older population. JAMA Neurology, 71(8), 10171024. doi:10.1001/jamaneurol.2014.963 CrossRefGoogle ScholarPubMed
von Stumm, S., & Ackerman, P.L. (2013). Investment and intellect: A review and meta-analysis. Psychological Bulletin, 139(4), 841869. doi:10.1037/a0030746 CrossRefGoogle ScholarPubMed
Wilson, R.S., Schneider, J.A., Arnold, S.E., Bienias, J.L., & Bennett, D.A. (2007). Conscientiousness and the incidence of Alzheimer disease and mild cognitive impairment. Archives of General Psychiatry, 64(10), 12041212. doi:10.1001/archpsyc.64.10.1204 CrossRefGoogle ScholarPubMed
Zivadinov, R., Heininen-Brown, M., Schirda, C.V., Poloni, G.U., Bergsland, N., Magnano, C.R., & Dwyer, M.G. (2012). Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: A case-control study. Neuroimage, 59(1), 331339. doi:10.1016/j.neuroimage.2011.07.045 CrossRefGoogle ScholarPubMed
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