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Cognitive performance and the course of depressive symptoms over 7 years of follow-up: the SMART-MR study

Published online by Cambridge University Press:  11 December 2014

M. Kooistra ,
N. P. A. Zuithoff ,
A. M. Grool ,
M. Zinsmeester ,
G. J. Biessels ,
Y. van der Graaf  and
M. I. Geerlings
M. Kooistra
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
N. P. A. Zuithoff
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
A. M. Grool
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
M. Zinsmeester
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
G. J. Biessels
Affiliation:
Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands
Y. van der Graaf
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
M. I. Geerlings*
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
*
*Address for correspondence: M. I. Geerlings, Ph.D., Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Stratenum 6.131, PO Box 85500, Utrecht 3508 GA, The Netherlands. (Email: [email protected])
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Abstract

Background

Depressive symptoms and cognitive impairment often co-occur, but their interactive relationship is complex and the direction of causation is still a topic of research. We examined the influence of cognitive performance on the course of depressive symptoms during 7 years of follow-up in patients with vascular disease.

Method

Within the SMART-MR study, 736 patients (mean age 62 ± 10 years) had neuropsychological assessment on four cognitive domains at baseline [memory (MEM), working memory (WMEM), executive functioning (EXEC), and information processing speed (SPEED)]. Depressive symptoms were assessed with the Patient Health Questionnaire-9 (PHQ-9) at baseline and every 6 months during 7 years of follow-up. Generalized Estimating Equation (GEE) models were used to assess the association between cognitive performance with depressive symptoms at multiple time points during follow-up. Interaction terms between the respective cognitive domains and time was included to examine if the course of depressive symptoms differed according to baseline cognitive performance.

Results

The GEE analyses showed no significant interactions between the respective cognitive domains and time indicating no different course of depressive symptoms according to baseline cognitive performance. Lower MEM, EXEC or SPEED, but not WMEM performance, was significantly associated with more depressive symptoms during follow-up per z score decrease: MEM [B = 0.70, 95% confidence interval (CI) 0.35–1.05]; EXEC (B = 0.88, 95% CI 0.41–1.36), and SPEED (B = 0.57, 95% CI 0.21–0.92).

Conclusions

Poorer cognitive performance on the domains MEM, EXEC and SPEED, but not WMEM, was associated with higher levels of depressive symptoms over 7 years of follow-up, but not with a different course of depressive symptoms over time.

Keywords

Atheroscleroticcognitiondepressionepidemiologylongitudinal
Type
Original Articles
Information
Psychological Medicine , Volume 45 , Issue 8 , June 2015 , pp. 1741 - 1750
Copyright
Copyright © Cambridge University Press 2014 

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References

Alexopoulos, GS (2001). ‘The depression-executive dysfunction syndrome of late life’: a specific target for D3 agonists? American Journal of Geriatric Psychiatry: 9, 22–29.Google ScholarPubMed
Alexopoulos, GS, Meyers, BS, Young, RC, Campbell, S, Silbersweig, D, Charlson, M (1997 a). ‘Vascular depression’ hypothesis. Archives of General Psychiatry 54, 915–922.CrossRefGoogle ScholarPubMed
Alexopoulos, GS, Meyers, BS, Young, RC, Kakuma, T, Silbersweig, D, Charlson, M (1997 b). Clinically defined vascular depression. American Journal of Psychiatry 154, 562–565.Google ScholarPubMed
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Press: Washington, DC.Google Scholar
Anbeek, P, Vincken, KL, van Bochove, GS, van Osch, MJ, van der Grond, J (2005). Probabilistic segmentation of brain tissue in MR imaging. NeuroImage 27, 795–804.Google Scholar
Anbeek, P, Vincken, KL, van Osch, MJ, Bisschops, RH, van der Grond, J (2004). Probabilistic segmentation of white matter lesions in MR imaging. NeuroImage 21, 1037–1044.Google Scholar
Beekman, AT, Deeg, DJ, van Tilburg, T, Smit, JH, Hooijer, C, van Tilburg, W (1995). Major and minor depression in later life: a study of prevalence and risk factors. Journal of Affective Disorders 36, 65–75.Google Scholar
Beekman, AT, Geerlings, SW, Deeg, DJ, Smit, JH, Schoevers, RS, de Beurs, E, Braam, AW, Penninx, BW, van Tilburg, W (2002). The natural history of late-life depression: a 6-year prospective study in the community. Archives of General Psychiatry 59, 605–611.CrossRefGoogle ScholarPubMed
Bierman, EJ, Comijs, HC, Jonker, C, Beekman, AT (2007). Symptoms of anxiety and depression in the course of cognitive decline. Dementia and Geriatric Cognitive Disorders 24, 213–219.Google Scholar
Brand, N, Jolles, J (1985). Learning and retrieval rate of words presented auditorily and visually. Journal of General Psychology 112, 201–210.Google Scholar
Brands, AM, Van den Berg, E, Manschot, SM, Biessels, GJ, Kappelle, LJ, De Haan, EH, Kessels, RP (2007). A detailed profile of cognitive dysfunction and its relation to psychological distress in patients with type 2 diabetes mellitus. Journal of the International Neuropsychological Society 13, 288–297.CrossRefGoogle ScholarPubMed
Burgess, PW, Shallice, T (1996). Bizarre responses, rule detection and frontal lobe lesions. Cortex 32, 241–259.Google Scholar
Cole, MG, Dendukuri, N (2003). Risk factors for depression among elderly community subjects: a systematic review and meta-analysis. American Journal of Psychiatry 160, 1147–1156.CrossRefGoogle ScholarPubMed
Comijs, HC, van Tilburg, T, Geerlings, SW, Jonker, C, Deeg, DJ, van Tilburg, W, Beekman, AT (2004). Do severity and duration of depressive symptoms predict cognitive decline in older persons? Results of the Longitudinal Aging Study Amsterdam. Aging Clinical and Experimental Research 16, 226–232.CrossRefGoogle ScholarPubMed
da Silva, J, Goncalves-Pereira, M, Xavier, M, Mukaetova-Ladinska, EB (2013). Affective disorders and risk of developing dementia: systematic review. British Journal of Psychiatry 202, 177–186.CrossRefGoogle ScholarPubMed
de Beurs, E, Beekman, A, Geerlings, S, Deeg, D, Van Dyck, R, Van Tilburg, W (2001). On becoming depressed or anxious in late life: similar vulnerability factors but different effects of stressful life events. British Journal of Psychiatry 179, 426–431.Google Scholar
Duron, E, Hanon, O (2008). Vascular risk factors, cognitive decline, and dementia. Vascular Health and Risk Management 4, 363–381.Google Scholar
Gale, CR, Sayer, AA, Cooper, C, Dennison, EM, Starr, JM, Whalley, LJ, Gallacher, JE, Ben-Shlomo, Y, Kuh, D, Hardy, R, Craig, L, Deary, IJ, HALCyon Study Team (2011). Factors associated with symptoms of anxiety and depression in five cohorts of community-based older people: the HALCyon (Healthy Ageing across the Life Course) Programme. Psychological Medicine 41, 2057–2073.Google Scholar
Geerlings, MI, Appelman, AP, Vincken, KL, Algra, A, Witkamp, TD, Mali, WP, van der Graaf, Y (2010). Brain volumes and cerebrovascular lesions on MRI in patients with atherosclerotic disease. The SMART-MR study. Atherosclerosis 210, 130–136.Google Scholar
Grool, AM, Gerritsen, L, Zuithoff, NP, Mali, WP, van der Graaf, Y, Geerlings, MI (2013). Lacunar infarcts in deep white matter are associated with higher and more fluctuating depressive symptoms during three years follow-up. Biological Psychiatry 73, 169–176.CrossRefGoogle ScholarPubMed
Huang, CQ, Dong, BR, Lu, ZC, Yue, JR, Liu, QX (2010). Chronic diseases and risk for depression in old age: a meta-analysis of published literature. Ageing Research Reviews 9, 131–141.Google Scholar
Jonker, C, Geerlings, MI, Schmand, B (2000). Are memory complaints predictive for dementia? A review of clinical and population-based studies. International Journal of Geriatric Psychiatry 15, 983–991.3.0.CO;2-5>CrossRefGoogle ScholarPubMed
Kohler, S, van Boxtel, MP, van Os, J, Thomas, AJ, O'Brien, JT, Jolles, J, Verhey, FR, Allardyce, J (2010). Depressive symptoms and cognitive decline in community-dwelling older adults. Journal of the American Geriatrics Society 58, 873–879.Google Scholar
Krishnan, KR, Hays, JC, Blazer, DG (1997). MRI-defined vascular depression. American Journal of Psychiatry 154, 497–501.Google ScholarPubMed
Kroenke, K, Spitzer, RL, Williams, JB (2001). The PHQ-9: validity of a brief depression severity measure. Journal of general internal medicine 16, 606–613.Google Scholar
Lezak, MD, Howieson, DB, Loring, DW (2004). Neuropsychological Assessment, 4th edn. Oxford University Press: New York.Google Scholar
Lyketsos, CG, Lopez, O, Jones, B, Fitzpatrick, AL, Breitner, J, DeKosky, S (2002). Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the cardiovascular health study. Journal of the American Medical Association 288, 1475–1483.CrossRefGoogle ScholarPubMed
Osterrieth, P (1944). The test of copying a complex figure: a contribution to the study of perception and memory [in French]. Archives de Psychologie 30, 286–356.Google Scholar
Panza, F, D'Introno, A, Colacicco, AM, Capurso, C, Del Parigi, A, Caselli, RJ, Frisardi, V, Scapicchio, P, Chiloiro, R, Scafato, E, Gandin, C, Vendemiale, G, Capurso, A, Solfrizzi, V (2009). Temporal relationship between depressive symptoms and cognitive impairment: the Italian Longitudinal Study on Aging. Journal of Alzheimer's Disease 17, 899–911.Google Scholar
Robertson, IH, Ward, T, Ridgeway, V, Nimmo-Smith, I (1996). The structure of normal human attention: the test of everyday attention. Journal of the International Neuropsychological Society 2, 525–534.CrossRefGoogle ScholarPubMed
Robins, LN, Wing, J, Wittchen, HU, Helzer, JE, Babor, TF, Burke, J, Farmer, A, Jablenski, A, Pickens, R, Regier, DA (1988). The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry 45, 1069–1077.CrossRefGoogle ScholarPubMed
Robinson, RG, Spalletta, G (2010). Poststroke depression: a review. Canadian Journal of Psychiatry/Revue Canadienne de Psychiatrie 55, 341–349.Google Scholar
Rothenbacher, D, Hahmann, H, Wusten, B, Koenig, W, Brenner, H (2007). Symptoms of anxiety and depression in patients with stable coronary heart disease: prognostic value and consideration of pathogenetic links. European Journal of Cardiovascular Prevention and Rehabilitation 14, 547–554.Google Scholar
Rudisch, B, Nemeroff, CB (2003). Epidemiology of comorbid coronary artery disease and depression. Biological Psychiatry 54, 227–240.CrossRefGoogle Scholar
Sanders, JB, Bremmer, MA, Comijs, HC, Deeg, DJ, Lampe, IK, Beekman, AT (2011). Cognitive functioning and the natural course of depressive symptoms in late life. American Journal of Geriatric Psychiatry 19, 664–672.Google Scholar
Schmand, B, Geerlings, MI, Jonker, C, Lindeboom, J (1998). Reading ability as an estimator of premorbid intelligence: does it remain stable in emergent dementia? Journal of Clinical and Experimental Neuropsychology 20, 42–51.Google Scholar
Schoevers, RA, Beekman, AT, Deeg, DJ, Geerlings, MI, Jonker, C, Van Tilburg, W (2000). Risk factors for depression in later life; results of a prospective community based study (AMSTEL). Journal of Affective Disorders 59, 127–137.Google Scholar
Sheline, YI, Barch, DM, Garcia, K, Gersing, K, Pieper, C, Welsh-Bohmer, K, Steffens, DC, Doraiswamy, PM (2006). Cognitive function in late life depression: relationships to depression severity, cerebrovascular risk factors and processing speed. Biological Psychiatry 60, 58–65.Google Scholar
Stegenga, BT, Kamphuis, MH, King, M, Nazareth, I, Geerlings, MI (2012). The natural course and outcome of major depressive disorder in primary care: the PREDICT-NL study. Social Psychiatry and Psychiatric Epidemiology 47, 87–95.Google Scholar
Sutin, AR, Terracciano, A, Milaneschi, Y, An, Y, Ferrucci, L, Zonderman, AB (2013). The trajectory of depressive symptoms across the adult life span. JAMA Psychiatry 70, 803–811.Google Scholar
Thombs, BD, Bass, EB, Ford, DE, Stewart, KJ, Tsilidis, KK, Patel, U, Fauerbach, JA, Bush, DE, Ziegelstein, RC (2006). Prevalence of depression in survivors of acute myocardial infarction. Journal of General Internal Medicine 21, 30–38.CrossRefGoogle ScholarPubMed
Thombs, BD, Ziegelstein, RC, Whooley, MA (2008). Optimizing detection of major depression among patients with coronary artery disease using the patient health questionnaire: data from the heart and soul study. Journal of General Internal Medicine 23, 2014–2017.Google Scholar
Twisk, JWR (2003). Applied Longitudinal Data Analysis for Epidemiology. Cambridge University Press: New York, USA.Google Scholar
Unverzagt, FW, McClure, LA, Wadley, VG, Jenny, NS, Go, RC, Cushman, M, Kissela, BM, Kelley, BJ, Kennedy, R, Moy, CS, Howard, V, Howard, G (2011). Vascular risk factors and cognitive impairment in a stroke-free cohort. Neurology 77, 1729–1736.Google Scholar
Valkanova, V, Ebmeier, KP (2013). Vascular risk factors and depression in later life: a systematic review and meta-analysis. Biological Psychiatry 73, 406–413.Google Scholar
van den Kommer, TN, Comijs, HC, Aartsen, MJ, Huisman, M, Deeg, DJ, Beekman, AT (2013). Depression and cognition: how do they interrelate in old age? American Journal of Geriatric Psychiatry 21, 398–410.CrossRefGoogle ScholarPubMed
Verdelho, A, Madureira, S, Moleiro, C, Ferro, JM, O'Brien, JT, Poggesi, A, Pantoni, L, Fazekas, F, Scheltens, P, Waldemar, G, Wallin, A, Erkinjuntti, T, Inzitari, D, on behalf of the LADIS Study (2013). Depressive symptoms predict cognitive decline and dementia in older people independently of cerebral white matter changes: the LADIS study. Journal of Neurology, Neurosurgery, and Psychiatry.Google Scholar
Vinkers, DJ, Gussekloo, J, Stek, ML, Westendorp, RG, van der Mast, RC (2004). Temporal relation between depression and cognitive impairment in old age: prospective population based study. British Medical Journal (Clinical Research Edition) 329, 881.Google Scholar
Vogels, RL, Scheltens, P, Schroeder-Tanka, JM, Weinstein, HC (2007). Cognitive impairment in heart failure: a systematic review of the literature. European Journal of Heart Failure 9, 440–449.CrossRefGoogle ScholarPubMed
Wechsler, D.A. (2008). Wechsler Adult Intelligence Scale, 4th edn. Psychological Corporation: San Antonio, TX.Google Scholar
Wilkins, AJ, Shallice, TF, McCarthy, R (1987). Frontal lesions and sustained attention. Neuropsychologia 25, 359–365.CrossRefGoogle ScholarPubMed
Wilson, RS, Arnold, SE, Beck, TL, Bienias, JL, Bennett, DA (2008). Change in depressive symptoms during the prodromal phase of Alzheimer disease. Archives of General Psychiatry 65, 439–445.Google Scholar
Wilson, RS, Hoganson, GM, Rajan, KB, Barnes, LL, Mendes de Leon, CF, Evans, DA (2010). Temporal course of depressive symptoms during the development of Alzheimer disease. Neurology 75, 21–26.Google Scholar
Yaffe, K, Blackwell, T, Gore, R, Sands, L, Reus, V, Browner, WS (1999). Depressive symptoms and cognitive decline in nondemented elderly women: a prospective study. Archives of General Psychiatry 56, 425–430.Google Scholar
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