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Cognitive reserve as a moderator of the negative association between mood and cognition: evidence from a population-representative cohort

Published online by Cambridge University Press:  19 May 2017

C. Opdebeeck ,
F. E. Matthews ,
Y-T. Wu ,
R. T. Woods ,
C. Brayne  and
L. Clare
C. Opdebeeck*
Affiliation:
Department of Psychology, Manchester Metropolitan University, Manchester, UK Division of Neuroscience and Experimental Psychology, School of Biological Sciences, The University of Manchester, Manchester, UK
F. E. Matthews
Affiliation:
Institute for Health and Society, Newcastle University, Newcastle, UK MRC Biostatistics Unit, Cambridge, UK
Y-T. Wu
Affiliation:
REACH: The Centre for Research in Ageing and Cognitive Health, School of Psychology, University of Exeter, Exeter, UK PenCLAHRC, University of Exeter Medical School, Exeter, UK
R. T. Woods
Affiliation:
DSDC Wales, Bangor University, Bangor, UK
C. Brayne
Affiliation:
Department of Public Health and Primary Care, Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
L. Clare
Affiliation:
REACH: The Centre for Research in Ageing and Cognitive Health, School of Psychology, University of Exeter, Exeter, UK PenCLAHRC, University of Exeter Medical School, Exeter, UK Centre for Research Excellence in Promoting Cognitive Health, Australian National University, Canberra, Australia
*
*Address for correspondence: Dr C. Opdebeeck, Department of Psychology, Manchester Metropolitan University, Brooks Building, 53 Bonsall Street, Manchester, M15 6GX, UK. (Email: [email protected])
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Abstract

Background

Cognitive reserve (CR) has been associated with better cognitive function and lower risk of depression in older people, yet it remains unclear whether CR moderates the association between mood and cognition. This study aimed to investigate whether a comprehensive indicator of CR, including education, occupation and engagement in cognitive and social activities, acts as a moderator of this association.

Methods

This was a cross-sectional study utilising baseline data from the Cognitive Function and Ageing Study II (CFAS II), a large population-based cohort of people aged 65+ in England. Complete data on the measures of CR, mood and cognition were available for 6565 dementia-free individuals. Linear regression models were used to investigate the potential modifying effect of CR on the association between cognition and mood with adjustment for age, sex and missing data.

Results

Levels of CR did moderate the negative association between mood and cognition; the difference in cognition between those with and without a clinical level mood disorder was significantly smaller in the middle (−2.28; 95% confidence interval (CI) −3.65 to −0.90) and higher (−1.30; 95% CI −2.46 to −0.15) CR groups compared with the lower CR group (−4.01; 95% CI −5.53 to −2.49). The individual components of CR did not significantly moderate the negative association between mood and cognition.

Conclusion

These results demonstrate that CR, indexed by a composite score based on multiple indicators, can moderate the negative association between lowered mood and cognition, emphasising the importance of continuing to build CR across the lifespan in order to maintain cognitive health.

Keywords

Anxietycognitive activitydepressioneducationoccupationsocial activity
Type
Original Articles
Information
Psychological Medicine , Volume 48 , Issue 1 , January 2018 , pp. 61 - 71
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

†

See CFAS collaborators at the end of the paper.

References

Avila, R, Moscoso, MAA, Ribeiz, S, Arrais, J, Jaluul, O, Bottino, C (2009). Influence of education and depressive symptoms on cognitive function in the elderly. International Psychogeriatrics 21, 560–567. doi: 10.1017/S1041610209008928.CrossRefGoogle ScholarPubMed
Ballmaier, M, Toga, AW, Blanton, RE, Sowell, ER, Lavretsky, H, Peterson, J, Pham, D, Kumar, A (2004). Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: an MRI-based parcellation of the prefrontal cortex. American Journal of Psychiatry 161, 99–108. doi: 10.1176/appi.ajp.161.1.99.Google Scholar
Bhalla, RK, Butters, MA, Zmuda, MD, Seligman, K, Mulsant, BH, Pollock, BG, Reynolds, CF (2005). Does education moderate neuropsychological impairment in late-life depression? International Journal of Geriatric Psychiatry 20, 413–417. doi: 10.1002/gps.1296.Google Scholar
Byers, AL, Yaffe, K (2011). Depression and risk of developing dementia. Nature Reviews Neurology 7, 323–331. doi: 10.1038/nrneurol.2011.60.Google Scholar
Case, A, Paxson, C (2008). Height, health, and cognitive function at older ages. American Economic Review 98, 463. doi: 10.1257/aer.98.2.463.Google Scholar
Comas-Herrera, A, Northey, S, Wittenberg, R, Knapp, M, Bhattacharyya, S, Burns, A (2011). Future costs of dementia-related long-term care: exploring future scenarios. International Psychogeriatrics 23, 20–30. doi: 10.1017/S1041610210000025.Google Scholar
Copeland, JRM, Beekman, ATF, Braam, AW, Dewey, ME, Delespaul, P, Fuhrer, R, Hooijer, C, Lawlor, BA, Kivela, SL, Lobo, A, Magnusson, H (2004). Depression among older people in Europe: the EURODEP studies. World Psychiatry 3, 45–49.Google Scholar
Copeland, JRM, Dewey, ME, Griffiths-Jones, HM (1986). A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT. Psychological Medicine 16, 89–99. doi: 10.1017/S0033291700057779.Google Scholar
Copeland, JRM, Prince, M, Wilson, KCM, Dewey, ME, Payne, J, Gurland, B (2002). The geriatric mental state examination in the 21st century. International Journal of the Geriatric Psychiatry 17, 729–732. doi: 10.1002/gps.667.Google Scholar
Debette, S, Markus, HS (2010). The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. British Medical Journal 341, 1–9. doi: 10.1136/bmj.c3666.Google Scholar
Deckers, K, Boxtel, MP, Schiepers, OJ, Vugt, M, Muñoz Sánchez, JL, Anstey, KJ, Brayne, C, Dartigues, J-F, Engedal, K, Kivipelto, M, Ritchie, K, Starr, JM, Yaffe, K, Irving, K, Verhey, FRJ, Kӧhler, S (2015). Target risk factors for dementia prevention: a systematic review and Delphi consensus study on the evidence from observational studies. International Journal of Geriatric Psychiatry 30, 234–246. doi: 10.1002/gps.4245.Google Scholar
Di Carlo, A, Baldereschi, M, Amaducci, L, Maggi, S, Grigoletto, F, Scarlato, G, Inzitari, D; for the Italian Longitudinal Study on Aging Working Group (2000). Cognitive impairment without dementia in older people: prevalence, vascular risk factors, impact on disability. The Italian longitudinal study on aging. Journal of the American Geriatrics Society 48, 775–782. doi: 10.1111/j.1532–5415.2000.tb04752.x.Google Scholar
Diniz, BS, Butters, MA, Albert, SM, Dew, MA, Reynolds, CF (2013). Late-life depression and risk of vascular dementia and Alzheimer's disease: systematic review and meta-analysis of community-based cohort studies. British Journal of Psychiatry 202, 329–335. doi: 10.1192/bjp.bp.112.118307.Google Scholar
Elbejjani, M, Fuhrer, R, Abrahamowicz, M, Mazoyer, B, Crivello, F, Tzourio, C, Dufouil, C (2015). Depression, depressive symptoms, and rate of hippocampal atrophy in a longitudinal cohort of older men and women. Psychological Medicine 15, 1931–1944. doi: 10.1017/S0033291714003055.Google Scholar
Enzinger, C, Fazekas, F, Matthews, PM, Ropele, S, Schmidt, H, Smith, S, Schmidt, R (2005). Risk factors for progression of brain atrophy in aging: six-year follow-up of normal subjects. Neurology 64, 1704–1711. doi: 10.1212/01.WNL.0000161871.83614.BB.Google Scholar
Eysenck, MW, Derakshan, N, Santos, R, Calvo, MG (2007). Anxiety and cognitive performance: attentional control theory. Emotion 7, 336–353. doi: 10.1037/1528-3542.7.2.336.Google Scholar
Fratiglioni, L, Wang, HX (2007). Brain reserve hypothesis in dementia. Journal of Alzheimer's Disease 12, 11–22.Google Scholar
Gao, L, Green, E, Barnes, LE, Brayne, C, Matthews, FE, Robinson, L, Arthur, A; Medical Research Council Cognitive Function and Ageing Collaboration (2015). Changing non-participation in epidemiological studies of older people: evidence from the Cognitive Function and Ageing Study I and II. Age and Ageing 44, 867–873. doi: 10.1093/ageing/afv101.Google Scholar
Geerlings, MI, Schoevers, RA, Beekman, AT, Jonker, C, Deeg, DJ, Van Tilburg, W, Adér, HJ, Schmand, B (2000). Depression and risk of cognitive decline and Alzheimer's disease. Results of two prospective community-based studies in the Netherlands. British Journal of Psychiatry 176, 568–575. doi: 10.1192/bjp.176.6.568.Google Scholar
Harrison, SL, Sajjad, A, Bramer, WM, Ikram, MA, Tiemeier, H, Stephan, BC (2015). Exploring strategies to operationalize cognitive reserve: a systematic review of reviews. Journal of Clinical and Experimental Neuropsychology 37, 253–264. doi: 10.1080/13803395.2014.1002759.Google Scholar
Harvey, PO, Fossati, P, Pochon, JB, Levy, R, LeBastard, G, Lehéricy, S, Allilaire, JF, Dubois, B (2005). Cognitive control and brain resources in major depression: an fMRI study using the n-back task. Neuroimage 26, 860–869. doi: 10.1016/j.neuroimage.2005.02.048.Google Scholar
Heys, M, Jiang, C, Schooling, CM, Zhang, W, Cheng, KK, Lam, TH, Leung, GM (2010). Is childhood meat eating associated with better later adulthood cognition in a developing population? European Journal of Epidemiology 25, 507–516. doi: 10.1007/s10654-010-9466-0.Google Scholar
Jagger, C, Matthews, FE, Wohland, P, Fouweather, T, Stephan, BC, Robinson, L, Arthur, A, Brayne, C; Medical Research Council Cognitive Function and Ageing Collaboration (2015). A comparison of health expectancies over two decades in England: results of the Cognitive Function and Ageing Study I and II. Lancet 387, 779–786. doi: 10.1016/S0140-6736(15)00947-2.Google Scholar
Jagger, C, Matthews, R, Lindesay, J, Robinson, T, Croft, P, Brayne, C (2009). The effect of dementia trends and treatments on longevity and disability: a simulation model based on the MRC Cognitive Function and Ageing Study (MRC CFAS). Age and Ageing 38, 319–325. doi: 10.1093/ageing/afp016.Google Scholar
Korczyn, AD, Halperin, I (2009). Depression and dementia. Journal of the Neurological Sciences 283, 139–142. doi: 10.1016/j.jns.2009.02.346.Google Scholar
Lampe, IK, Hulshoff Pol, HE, Janssen, J, Schnack, HG, Kahn, RS, Heeren, TJ (2003). Association of depression duration with reduction of global cerebral gray matter volume in female patients with recurrent major depressive disorder. American Journal of Psychiatry 160, 2052–2054. doi: 10.1176/appi.ajp.160.11.2052.Google Scholar
Langa, KM, Larson, EB, Karlawish, JH, Cutler, DM, Kabeto, MU, Kim, SY, Rosen, AB (2008). Trends in the prevalence and mortality of cognitive impairment in the United States: is there evidence of a compression of cognitive morbidity? Alzheimer's and Dementia 4, 134–144. doi: 10.1016/j.jalz.2008.01.001.Google Scholar
Leonard, BE (2007). Inflammation, depression and dementia: are they connected? Neurochemical Research 32, 1749–1756. doi: 10.1007/s11064-007-9385-y.Google Scholar
Lorant, V, Deliège, D, Eaton, W, Robert, A, Philippot, P, Ansseau, M (2003). Socioeconomic inequalities in depression: a meta-analysis. American Journal of Epidemiology 157, 98–112. doi: 10.1093/aje/kwf182.Google Scholar
Matsuo, K, Glahn, DC, Peluso, MAM, Hatch, JP, Monkul, ES, Najt, P, Sanches, M, Zamarripa, F, Li, J, Lancaster, JL, Fox, PT (2007). Prefrontal hyperactivation during working memory task in untreated individuals with major depressive disorder. Molecular Psychiatry 12, 158–166. doi: 10.1038/sj.mp.4001894.Google Scholar
Matthews, FE, Arthur, A, Barnes, LE, Bond, J, Jagger, C, Robinson, L, Brayne, C; Medical Research Council Cognitive Function and Ageing Collaboration (2013). A two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: results of the Cognitive Function and Ageing Study I and II. Lancet 382, 1405–1412. doi: 10.1016/S0140-6736(13)61570-6.Google Scholar
McDougall, FA, Kvaal, K, Matthews, FE, Paykel, E, Jones, PB, Dewey, ME, Brayne, C (2007). Prevalence of depression in older people in England and Wales: the MRC CFA study. Psychological Medicine 37, 1787–1795. doi: 10.1017/S0033291707000372.Google Scholar
Meng, X, D'Arcy, C (2012). Education and dementia in the context of the cognitive reserve hypothesis: a systematic review with meta-analyses and qualitative analyses. PLoS ONE 7, e38268. doi: 10.1371/journal.pone.0038268.Google Scholar
Mirza, SS, Wolters, FJ, Swanson, SA, Koudstaal, PJ, Hofman, A, Tiemeier, H, Ikram, MA (2016). 10-year trajectories of depressive symptoms and risk of dementia: a population-based study. Lancet Psychiatry 3, 628–635. doi: 10.1016/S2215-0366(16)00097-3.Google Scholar
Nebes, RD, Vora, IJ, Meltzer, CC, Fukui, MB, Williams, RL, Kamboh, MI, Saxton, J, Houck, PR, DeKosky, ST, Reynolds, CF (2001). Relationship of deep white matter hyperintensities and apolipoprotein E genotype to depressive symptoms in older adults without clinical depression. American Journal of Psychiatry 158, 878–884. doi: 10.1176/appi.ajp.158.6.878.CrossRefGoogle ScholarPubMed
Norton, S, Matthews, FE, Barnes, LD, Yaffe, K, Brayne, C (2014). Potential for primary prevention of Alzheimer's disease: an analysis of population-based data. Lancet Neurology 13, 788–794. doi: 10.1016/S1474-4422(14)70136-X.Google Scholar
Opdebeeck, C, Martyr, A, Clare, L (2016 a). Cognitive reserve and cognitive function in healthy older people: a meta-analysis. Aging, Neuropsychology, and Cognition 23, 40–60. doi: 10.1080/13825585.2015.1041450.Google Scholar
Opdebeeck, C, Nelis, SM, Quinn, C, Clare, L (2015 b). How does cognitive reserve impact on the relationships between mood, rumination, and cognitive function in later life? Aging and Mental Health 19, 705–712. doi: 10.1080/13607863.2014.962005.Google Scholar
Opdebeeck, C, Quinn, C, Nelis, SM, Clare, L (2015 a). Does cognitive reserve moderate the association between mood and cognition? A systematic review. Reviews in Clinical Gerontology 25, 181–193. doi: 10.1017/S0959259815000155.Google Scholar
Opdebeeck, C, Quinn, C, Nelis, SM, Clare, L (2016 b). Is cognitive lifestyle associated with depressive thoughts and self-reported depressive symptoms in later life? European Journal of Ageing 13, 63–73. doi: 10.1007/s10433-015-0359-7.Google Scholar
O'Brien, JT, Lloyd, A, McKeith, I, Gholkar, A, Ferrier, N (2004). A longitudinal study of hippocampal volume, cortisol levels, and cognition in older depressed subjects. American Journal of Psychiatry 161, 2081–2090. doi: 10.1176/appi.ajp.161.11.2081.Google Scholar
O'Shea, DM, Fieo, RA, Hamilton, JL, Zahodne, LB, Manly, JJ, Stern, Y (2015). Examining the association between late-life depressive symptoms, cognitive function, and brain volumes in the context of cognitive reserve. International Journal of Geriatric Psychiatry 30, 614–622. doi: 10.1002/gps.4192.Google Scholar
Pálsson, S, Aevarsson, O, Skoog, I (1999). Depression, cerebral atrophy, cognitive performance and incidence of dementia. Population study of 85-year-olds. British Journal of Psychiatry 174, 249–253. doi: 10.1192/bjp.174.3.249.Google Scholar
Pálsson, S, Larsson, L, Tengelin, E, Waern, M, Samuelsson, S, Hallstro, T, Skoog, I (2001). The prevalence of depression in relation to cerebral atrophy and cognitive performance in 70- and 74-year-old women in Gothenburg. The Women's Health Study. Psychological Medicine 31, 39–49. Retrieved from http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=64011&fileId=S0033291799003050.Google Scholar
Paulson, D, Bowen, ME, Lichtenberg, PA (2014). Does brain reserve protect older women from vascular depression? Journals of Gerontology. Series B, Psychological Sciences and Social Sciences 69, 157–167. doi: 10.1093/geronb/gbt007.Google Scholar
Pérès, K, Verret, C, Alioum, A, Barberger-Gateau, P (2005). The disablement process: factors associated with progression of disability and recovery in French elderly people. Disability and Rehabilitation 27, 263–276. doi: 10.1080/09638280400006515.Google Scholar
Pizzagalli, DA (2011). Frontocingulate dysfunction in depression: toward biomarkers of treatment response. Neuropsychopharmacology 36, 183–206. doi: 10.1038/npp.2010.166.Google Scholar
Reppermund, S, Brodaty, H, Crawford, JD, Kochan, NA, Slavin, MJ, Trollor, JN, Draper, B, Sachdev, PS (2011). The relationship of current depressive symptoms and past depression with cognitive impairment and instrumental activities of daily living in an elderly population: the Sydney memory and ageing study. Journal of Psychiatric Research 45, 1600–1607. doi: 10.1016/j.jpsychires.2011.08.001.CrossRefGoogle Scholar
Richards, M, Deary, IJ (2005). A life course approach to cognitive reserve: a model for cognitive aging and development? Annals of Neurology 58, 617–622. doi: 10.1002/ana.20637.Google Scholar
Richards, M, Sacker, A (2003). Lifetime antecedents of cognitive reserve. Journal of Clinical and Experimental Neuropsychology 25, 614–624. doi: 10.1076/jcen.25.5.614.14581.Google Scholar
Roth, M, Tym, E, Mountjoy, CQ, Huppert, FA, Hendrie, H, Verma, S, Goddard, R (1986). CAMDEX. A standardised instrument for the diagnosis of mental disorder in the elderly with special reference to the early detection of dementia. British Journal of Psychiatry 149, 698–709. doi: 10.1192/bjp.149.6.698.Google Scholar
Santos, NC, Costa, PS, Cunha, P, Portugal-Nunes, C, Amorim, L, Cotter, J, Cerqueira, J, Palha, JA, Sousa, N (2014). Clinical, physical and lifestyle variables and relationship with cognition and mood in aging: a cross-sectional analysis of distinct educational groups. Frontiers in Aging Neuroscience 6. doi: 10.3389/fnagi.2014.00021.Google Scholar
Steffens, DC, McQuoid, DR, Potter, GG (2014). Amnestic mild cognitive impairment and incident dementia and Alzheimer's disease in geriatric depression. International Psychogeriatrics 26, 2029–2036. doi: 10.1017/S1041610214001446.Google Scholar
Stern, Y (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society 8, 448–460. doi: 10.1017/S1355617702813248.Google Scholar
Stern, Y (2009). Cognitive reserve. Neuropsychologia 47, 2028. doi: 10.1016/j.neuropsychologia.2009.03.004.Google Scholar
Stern, Y (2011). Elaborating a hypothetical concept: comments on the special series on cognitive reserve. Journal of the International Neuropsychological Society 17, 639–642. doi: 10.1017/S1355617711000579.Google Scholar
St John, PD, Tyas, SL, Montgomery, PR (2015). Cognition, even in the normal range, predicts disability: cross-sectional and prospective analyses of a population-based sample. International Journal of Geriatric Psychiatry 30, 1008–1016. doi: 10.1002/gps.4254.Google Scholar
Tinetti, ME, McAvay, GJ, Chang, SS, Newman, AB, Fitzpatrick, AL, Fried, TR, Peduzzi, PN (2011). Contribution of multiple chronic conditions to universal health outcomes. Journal of the American Geriatrics Society 59, 1686–1691. doi: 10.1111/j.1532-5415.2011.03573.x.Google Scholar
Valenzuela, M, Brayne, C, Sachdev, P, Wilcock, G (2011). Cognitive lifestyle and long-term risk of dementia and survival after diagnosis in a multicentre population-based cohort. American Journal of Epidemiology 173, 1004–1012. doi: 10.1093/aje/kwq476.Google Scholar
Valenzuela, MJ, Sachdev, P (2006 a). Brain reserve and dementia: a systematic review. Psychological Medicine 36, 441–454. doi: 10.1017/S003329170500626.Google Scholar
Valenzuela, MJ, Sachdev, P (2006 b). Brain reserve and cognitive decline: a non-parametric systematic review. Psychological Medicine 36, 1065–1074. doi: 10.1017/S0033291706007744.Google Scholar
Whalley, LJ, Dick, FD, McNeill, G (2006). A life-course approach to the aetiology of late-onset dementias. Lancet Neurology 5, 87–96. doi: 10.1016/S1474-4422(05)70286-6.Google Scholar
Williams, JG, Huppert, FA, Matthews, FE, Nickson, J; MRC Cognitive Function and Ageing Study (MRC CFAS) (2003). Performance and normative values of a concise neuropsychological test (CAMCOG) in an elderly population sample. International Journal of Geriatric Psychiatry 18, 631–644. doi: 10.1002/gps.886.Google Scholar
Wilson, RS, De Leon, CM, Bennett, DA, Bienias, JL, Evans, DA (2004). Depressive symptoms and cognitive decline in a community population of older persons. Journal of Neurology, Neurosurgery and Psychiatry 75, 126–129. Retrieved from http://jnnp.bmj.com/content/75/1/126.short.Google Scholar
Yates, JA, Clare, L, Woods, RT (2013). Mild cognitive impairment and mood: a systematic review. Reviews in Clinical Gerontology 23, 317–356. doi: 10.1017/S0959259813000129.Google Scholar