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Associations between Prospective and Retrospective Subjective Memory Complaints and Neuropsychological Performance in Older Adults: The Finger Study

Published online by Cambridge University Press:  04 September 2018

Laura Vaskivuo ,
Laura Hokkanen Open the ORCID record for Laura Hokkanen [Opens in a new window] ,
Tuomo Hänninen ,
Riitta Antikainen ,
Lars Bäckman ,
Tiina Laatikainen ,
Teemu Paajanen ,
Anna Stigsdotter-Neely ,
Timo Strandberg  and
Jaakko Tuomilehto
...Show all authors
Laura Vaskivuo*
Affiliation:
Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
Laura Hokkanen
Affiliation:
Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
Tuomo Hänninen
Affiliation:
Neurocenter/ Neurology, Kuopio University Hospital, Finland
Riitta Antikainen
Affiliation:
University of Oulu, Center for Life Course Health Research, Oulu, Finland Medical Research Center Oulu, Oulu University Hospital and Oulu City Hospital, Oulu, Finland
Lars Bäckman
Affiliation:
Aging Research Center, Karolinska Institutet - Stockholm University, Stockholm, Sweden
Tiina Laatikainen
Affiliation:
Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland Institute of Public Health and Clinical Nutrition, University of Eastern Finland; Kuopio, Finland Hospital District of North Karelia, Joensuu, Finland
Teemu Paajanen
Affiliation:
Finnish Institute of Occupational Health, Helsinki, Finland
Anna Stigsdotter-Neely
Affiliation:
Department of Psychology, Umeå University, Umeå, Sweden and Department of Social and Psychological Sciences, Karlstad University, Karlstad, Sweden
Timo Strandberg
Affiliation:
University of Oulu, Center for Life Course Health Research, Oulu, Finland University of Helsinki, Clinicum, and Helsinki University Hospital, Helsinki, Finland
Jaakko Tuomilehto
Affiliation:
Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland South Ostrobothnia Central Hospital, Seinäjoki, Finland and Department of Public Health, University of Helsinki, Helsinki, Finland Dasman Diabetes Institute, Kuwait City, Kuwait, Danube University Krems, Krems, Austria and Kind Abdulaziz University, Jeddah, Saudi Arabia
Hilkka Soininen
Affiliation:
Neurocenter/ Neurology, Kuopio University Hospital, Finland Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
Miia Kivipelto
Affiliation:
Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
Tiia Ngandu
Affiliation:
Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland Division of Clinical Geriatrics, Center for Alzheimer Research, NVS, Karolinska Institutet, Stockholm, Sweden
*
*Correspondence and reprint requests to: Laura Vaskivuo, Department of Public Health Solutions, Public Health Promotion Unit, National Institute for Health and Welfare, P.O 30, 00271 Helsinki, Finland. E-mail: [email protected]
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Abstract

Objectives: Subjective memory complaints (SMCs) are among the key concerns in the elderly, but their role in detecting objective cognitive problems is unclear. The aim of this study was to clarify the association between SMCs (both prospective and retrospective memory complaints) and neuropsychological test performance in older adults at risk of cognitive decline. Methods: This investigation is part of the FINGER project, a multicenter randomized controlled trial aiming at preventing cognitive decline in high-risk individuals. The cognitive assessment of participants was conducted at baseline using a modified neuropsychological test battery (NTB). SMCs were evaluated with the Prospective and Retrospective Memory Questionnaire (PRMQ) in a sub-sample of 560 participants (mean age, 69.9 years). Results: Having more prospective SMCs was associated with slower processing speed, but not with other NTB domains. Retrospective SMCs were linked to poorer function on NTB total score, processing speed, and memory. Executive function domain was not associated with any PRMQ ratings. Depressive symptoms and poor quality of life diluted the observed associations for NTB total score and memory. However, the association between PRMQ and processing speed remained even after full adjustments. Conclusions: Our results indicate that self-reported memory problems, measured with PRMQ, are associated with objectively measured cognitive performance. Such complaints in healthy elderly people also seem to reflect reduced mental tempo, rather than memory deficits. Slowing of processing speed may thus be negatively related to memory self-efficacy. It is also important to consider affective factors among those who report memory problems. (JINS, 2018, 24, 1099–1109)

Keywords

Subjective memory complaintsProspective memoryRetrospective memoryCognitive performanceMemoryProcessing speed
Type
Regular Research
Information
Journal of the International Neuropsychological Society , Volume 24 , Issue 10 , November 2018 , pp. 1099 - 1109
Copyright
Copyright © The International Neuropsychological Society 2018 

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References

REFERENCES

Aalto, A. M., Aro, A. R., & Teperi, J. (1999). RAND-36 as a measure of health-related quality of life. reliability, construct validity, and reference values in the Finnish general population. Stakes, Research Reports: Helsinki, Finland, 101.Google Scholar
Alzheimer’s Disease International. (2015). World Alzheimer report 2015: The global impact of dementia. London: Alzheimer’s Disease International.Google Scholar
Amariglio, R. E., Becker, J. A., Carmasin, J., Wadsworth, L. P., Lorius, N., Sullivan, C., & Rentz, D. M. (2012). Subjective cognitive complaints and amyloid burden in cognitively normal older individuals. Neuropsychologia, 50(12), 2880–2886.Google Scholar
Aribisala, B. S., Royle, N. A., Maniega, S. M., Valdés Hernández, M. C., Murray, C., Penke, L., & Wardlaw, J. M. (2014). Quantitative multi-modal MRI of the Hippocampus and cognitive ability in community-dwelling older subjects. Cortex, 53, 34–44.Google Scholar
Bisiacchi, P., Tarantino, V., & Ciccola, A. (2008). Aging and prospective memory: The role of working memory and monitoring processes. Aging Clinical and Experimental Research, 20(6), 569–577.Google Scholar
Buckley, R., Saling, M., Ellis, K., Rowe, C., Maruff, P., Macaulay, L. S, & Ames, D. (2015). Self and informant memory concerns align in healthy memory complainers and in early stages of mild cognitive impairment but separate with increasing cognitive impairment. Age Ageing, 44(6), 1012–1019.Google Scholar
Crawford, J. R., Smith, G., Maylor, E. A., Della Sala, S., & Logie, R. H. (2003). The prospective and retrospective memory questionnaire (PRMQ): Normative data and latent structure in a large non-clinical sample. Memory, 11(3), 261–275.Google Scholar
Crumley, J. J., Stetler, C. A., & Horhota, M. (2014). Examining the relationship between subjective and objective memory performance in older adults: A meta-analysis. Psychology & Aging, 29(2), 250–263.Google Scholar
De La Vega, F., Lazaruk, K., Rhodes, M., & Wenz, M. (2005). Assessment of two flexible and compatible SNP genotyping platforms: TaqMan ® SNP genotyping assays and the SNPlex™ genotyping system. Mutation Research, 573(1), 111–135.Google Scholar
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., & Jack, C. R Jr. (2016). Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria. Alzheimer’s & Dementia, 12, 292–323.Google Scholar
Eschen, A., Martin, M., Gasser, U. S., & Kliegel, M. (2009). Prospective and retrospective memory complaints in mild cognitive impairment and mild Alzheimer’s disease. Brain Impairment, 10(1), 59–75.Google Scholar
Finkel, D., McArdle, J. J., Reynolds, C. A., & Pedersen, N. L. (2007). Age changes in processing speed as a leading indicator of cognitive aging. Psychology & Aging, 22(3), 558–568.Google Scholar
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198.Google Scholar
Golden, C. (Ed.) 1978. Stroop color and word test: A manual for clinical and experimental uses. Chicago, IL: Skoelting.Google Scholar
Hänninen, T., Pulliainen, V., Sotaniemi, M., Hokkanen, L., Salo, J., Hietanen, M., & Erkinjuntti, T. (2010). Early detection of cognitive changes in memory diseases: New cut-off scores for the Finnish version of CERAD neuropsychological battery. Duodecim, 126, 2013–2021. (in Finnish).Google Scholar
Hänninen, T., Reinikainen, K. J., Helkala, E. L., Koivisto, K., Mykkänen, L., Laakso, M., & Riekkinen, P. J. (1994). Subjective memory complaints and personality traits in normal elderly subjects. Journal of the American Geriatrics Society, 42(1), 1–4.Google Scholar
Harrison, J., Minassian, S., Jenkins, L., Black, R., Koller, M., & Grundman, M. (2007). A neuropsychological test battery for use in Alzheimer disease clinical trials. Archives of Neurology, 64(9), 1323–1329.Google Scholar
Hohman, T. J., Beason-held, L. L., Lamar, M., & Resnick, S. M. (2011). Subjective cognitive complaints and longitudinal changes in memory and brain function. Neuropsychology, 25(1), 125–130.Google Scholar
Iliffe, S., & Pealing, L. (2010). Subjective memory problems. British Medical Journal, 340(7748), 703–706.Google Scholar
Jack, C. R, Knopman, D. S, Jagust, W. J., Petersen, R. C, Weiner, M. W., Aisen, P. S., & Trojanowski, J. Q. (2013). Tracking pathophysiological processes in Alzheimer’s disease: An updated hypothetical model of dynamic biomarkers. The Lancet Neurology, 12(2), 207–216.Google Scholar
Jacinto, A., Brucki, S., Porto, C., Martins, M., & Nitrini, R. (2014). Subjective memory complaints in the elderly: A sign of cognitive impairment? Clinics, 69(3), 194–197.Google Scholar
Jessen, F., Feyen, L., Freymann, K., Tepest, R., Maier, W., Heun, R., & Scheef, L. (2006). Volume reduction of the entorhinal cortex in subjective memory impairment. Neurobiology of Aging, 27(12), 1751–1756.Google Scholar
Jones, S., Livner, Å, & Bäckman, L. (2006). Patterns of prospective and retrospective memory impairment in preclinical Alzheimer’s disease. Neuropsychology, 20(2), 144–152.Google Scholar
Jorm, A. F., Christensen, H., Korten, A. E., Jacomb, P. A., & Henderson, A. S. (2001). Memory complaints as a precursor of memory impairment in older people: A longitudinal analysis over 7-8 years. Psychological Medicine, 31(3), 441–449.Google Scholar
Jorm, A. F., Butterworth, P., Anstey, K. J., Christensen, H., Easteal, S., Maller, J., & Sachdev, P. (2004). Memory complaints in a community sample aged 60–64 years: Associations with cognitive functioning, psychiatric symptoms, medical conditions, APOE genotype, hippocampus and amygdala volumes, and white-matter hyperintensities. Psychological Medicine, 34(8), 1495–1506.Google Scholar
Jungwirth, S., Fischer, P., Weissgram, S., Kirchmeyr, W., Bauer, P., & Tragi, K. (2004). Subjective memory complaints and objective memory impairment in the Vienna-Transdanube aging community. Journal of the American Geriatrics Society, 52(2), 263–268.Google Scholar
Kivipelto, M., Ngandu, T., Laatikainen, T., Winblad, B., Soininen, H., Tuomilehto, J. (2006). Risk score for the prediction of dementia risk in 20 years among middle aged people: A longitudinal, population-based study. Lancet Neurol, 5(9), 735–741.Google Scholar
Kivipelto, M., Solomon, A., Ahtiluoto, S., Ngandu, T., Lehtisalo, J., Antikainen, R., & Soininen, H. (2013). The Finnish geriatric intervention study to prevent cognitive impairment and disability (FINGER): Study design and progress. Alzheimer’s and Dementia, 9(6), 657–665.Google Scholar
Kliegel, M., & Jager, T. (2006). Can the prospective and retrospective memory questionnaire (PRMQ) predict actual prospective memory performance? Current Psychology, 25(3), 182–191.Google Scholar
Kliegel, M., & Martin, M. (2003). Prospective memory research: Why is it relevant? International Journal of Psychology, 38(4), 193–194.Google Scholar
Kliegel, M., & Zimprich, D. (2005). Predictors of cognitive complaints in older adults: A mixture regression approach. European Journal of Ageing, 2(1), 13–23.Google Scholar
Kuznetsova, K. A., Maniega, S. M., Ritchie, S. J., Cox, S. R., Storkey, A. J., Starr, J. M., & Bastin, M. E. (2016). Brain white matter structure and information processing speed in healthy older age. Brain Structure & Function, 221, 3223–3235.Google Scholar
Larrabee, G., & Crook, T. (1994). Estimated prevalence of age-associated memory impairment derived from standardized tests of memory function. International Psychogeriatrics, 6(1), 95–104.Google Scholar
Lee, P. (2014). The relationship between memory complaints, activity and perceived health status. Scandinavian Journal of Psychology, 55(2), 136–141.Google Scholar
Lehrner, J., Moser, D., Klug, S., Gleis, A., Auff, E., Dal-Bianco, P., & Pusswald, G. (2014). Subjective memory complaints, depressive symptoms and cognition in patients attending a memory outpatient clinic. International Psychogeriatrics, 26(3), 463–473.Google Scholar
Lemke, U., & Zimprich, D. (2005). Longitudinal changes in memory performance and processing speed in old age. Aging, Neuropsychology & Cognition, 12(1), 57–77.Google Scholar
Mäntylä, T. (2003). Assessing absentmindedness: Prospective memory complaint and impairment in middle-aged adults. Memory & Cognition, 31(1), 15–25.Google Scholar
Martin, M., Kliegel, M., & Mcdaniel, M. (2003). The involvement of executive functions in prospective memory performance of adults. International Journal of Psychology, 38(4), 195–206.Google Scholar
Maylor, E. A., Smith, G., Della Sala, S. D., & Logie, R. H. (2002). Prospective and retrospective memory in normal aging and dementia: An experimental study. Memory & Cognition, 30(6), 871–884.Google Scholar
McDaniel, M. A., & Einstein, G. O. (2011). The neuropsychology of prospective memory in normal aging: A componential approach. Neuropsychologia, 49(8), 2147–2155.Google Scholar
Meiberth, D., Scheef, L., Wolfsgruber, S., Boecker, H., Block, W., Traber, F., & Jessen, F. (2015). Cortical thinning in individuals with subjective memory impairment. Journal of Alzheimer’s Disease, 45(1), 139–146.Google Scholar
Mitchell, A. J., Beaumont, H., Ferguson, D., Yadegarfar, M., & Stubbs, B. (2014). Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: Meta-analysis. Acta Psychiatrica Scandinavica, 130(6), 439–451.Google Scholar
Mol, M., Carpay, M., Ramakers, I., Rozendaal, N., Verhey, F., & Jolles, J. (2007). The effect of perceived forgetfulness on quality of life in older adults; a qualitative review. International Journal of Geriatric Psychiatry, 22(5), 393–400.Google Scholar
Montejo, P., Montenegro, M., Fernandez, M. A., & Maestu, F. (2011). Subjective memory complaints in the elderly: Prevalence and influence of temporal orientation, depression and quality of life in a population-based study in the city of Madrid. Aging & Mental Health, 15(1), 85–96.Google Scholar
Morris, J. C. (1988). Consortium to establish a registry for Alzheimer’s disease (CERAD) clinical and neuropsychological assessment of Alzheimer’s disease. Psychopharmacology Bulletin, 24(4), 641–652.Google Scholar
Ngandu, T., Lehtisalo, J., Levalahti, E., Laatikainen, T., Lindstrom, J., Peltonen, M., & Kivipelto, M. (2014). Recruitment and baseline characteristics of participants in the Finnish geriatric intervention study to prevent cognitive impairment and disability (FINGER)-A randomized controlled lifestyle trial. International Journal of Environmental Research and Public Health, 11(9), 9345–9360.Google Scholar
Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., & Kivipelto, M. (2015). A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. Lancet, 385(9984), 2255–2263.Google Scholar
Owsley, C., Sloane, M., McGwin, G. Jr, & Ball, K. (2002). Timed instrumental activities of daily living tasks: Relationship to cognitive function and everyday performance assessments in older adults. Gerontology, 48(4), 254.Google Scholar
Penke, L., Muñoz Maniega, S., Murray, C., Gow, A. J., Valdés Hernández, M. C., Clayden, J. D., & Deary, I. J. (2010). A general factor of brain white matter integrity predicts information processing speed in healthy older people. Journal of Neuroscience, 30(22), 7569–7574.Google Scholar
Piauilino, D. C., Bueno, O. F. A., Tufik, S., Bittencourt, L. R., Santos-Silva, R., Hachul, H., & Pompeia, S. (2010). The prospective and retrospective memory questionnaire: A population-based random sampling study. Memory, 18(4), 413–426.Google Scholar
Ponds, R., & Jolles, J. (1996). Memory complaints in elderly people: The role of memory abilities, metamemory, depression, and personality. Educational Gerontology, 22(4), 341–357.Google Scholar
Reid, L. M., & MacLullich, A. M. J. (2006). Subjective memory complaints and cognitive impairment in older people. Dementia & Geriatric Cognitive Disorders, 22(5), 471–485.Google Scholar
Reitan, R. (1958). Validity of the trail making test as an indicator of organic brain damage. Perceptual and Motor Skills, 8(7), 271–276.Google Scholar
Rönnlund, M., Vestergren, P., Mäntylä, T., & Nilsson, L. (2011). Predictors of self-reported prospective and retrospective memory in a population-based sample of older adults. Journal of Genetic Psychology, 172(3), 266–284.Google Scholar
Ronnlund, M., Mantyla, T., & Nilsson, L. (2008). The prospective and retrospective memory questionnaire (PRMQ): Factorial structure, relations to global subjective memory ratings, and Swedish norms. Scandinavian Journal of Psychology, 49(1), 11–18.Google Scholar
Rosnick, C. B., Small, B. J., Graves, A. B., & Mortimer, J. A. (2004). The association between health and cognitive performance in a population-based study of older adults: The Charlotte County Healthy Aging Study (CCHAS). Aging, Neuropsychology & Cognition, 11(1), 89–99.Google Scholar
Saaristo, T., Peltonen, M., Keinanen-Kiukaanniemi, S., Vanhala, M., Saltevo, J, Niskanen, L., & Tuomilehto, J. (2007). National type 2 diabetes prevention programme in Finland: FIN-D2D. International Journal of Circumpolar Health, 66, 101–112.Google Scholar
Salthouse, T. A. (2000). Aging and measures of processing speed. Biological Psychology, 54(1-3), 35–54.Google Scholar
Salthouse, T. A., Berish, D. E., & Siedlecki, K. L. (2004). Construct validity and age sensitivity of prospective memory. Memory & Cognition, 32(7), 1133–1148.Google Scholar
Samieri, C., Proust-Lima, C., M. Glymour, M., Okereke, O. I., Amariglio, R. E., Sperling, R. A., & Grodstein, F. (2014). Subjective cognitive concerns, episodic memory, and the APOE e4 allele. Alzheimer’s & Dementia, 10(6), 752–759.Google Scholar
Sargent-Cox, K., Cherbuin, N., Sachdev, P., & Anstey, K. J. (2011). Subjective health and memory predictors of mild cognitive disorders and cognitive decline in ageing: The personality and total health (PATH) through life study. Dementia and Geriatric Cognitive Disorders, 31(1), 45–52.Google Scholar
Schneider, J. A., Arvanitakis, Z., Leurgans, S. E., & Bennett, D. A. (2009). The neuropathology of probable Alzheimer’s disease and mild cognitive impairment. Annals of Neurology, 66(2), 200–208.Google Scholar
Small, G. W., Chen, S. T., Komo, S., Ercoli, L., Bookheimer, S., Miller, K., & Pericak-Vance, M. A. (1999). Memory self-appraisal in middle-aged and older adults with the apolipoprotein E-4 allele. American Journal of Psychiatry, 156(7), 1035–1038.Google Scholar
Steinberg, S. I., Negash, S., Sammel, M. D., Bogner, H., Harel, B. T., Livney, M. G., & Arnold, S. E. (2013). Subjective memory complaints, cognitive performance, and psychological factors in healthy older adults. American Journal of Alzheimer’s Disease and Other Dementias, 28(8), 776–783.Google Scholar
Stewart, R., Russ, C., Richards, M., Brayne, C., Lovestone, S., & Mann, A. (2001). Depression, APOE genotype and subjective memory impairment: A cross-sectional study in an African-Caribbean population. Psychological Medicine, 31(3), 431–440.Google Scholar
Studer, J., Donati, A., Popp, J., & von Gunten, A. (2014). Subjective cognitive decline in patients with mild cognitive impairment and healthy older adults: Association with personality traits. Geriatrics & Gerontology International, 14(3), 589–595.Google Scholar
Van der Elst, W., Van Boxtel, M. P., Van Breukelen, G. J., & Jolles, J. (2006a). The concept shifting test: Adult normative data. Psychological Assessment, 18, 424–432.Google Scholar
Van der Elst, W., van Boxtel, M. P., van Breukelen, G. J., & Jolles, J. (2006b). The letter digit substitution test: Normative data for 1,858 healthy participants aged 24-81 from the Maastricht Aging Study (MAAS): Influence of age, education, and sex. Journal of Clinical and Experimental Neuropsychology, 28(6), 998–1009.Google Scholar
Vartiainen, E., Laatikainen, T., Peltonen, M., Juolevi, A., Mannisto, S., Sundvall, J., & Puska, P. (2010). Thirty-five-years in cardiovascular risk factors in Finland. International Journal of Epidemiology, 39, 504–518.Google Scholar
Woods, S. P., Weinborn, M., Velnoweth, A., Rooney, A., & Bucks, R. S. (2012). Memory for intentions is uniquely associated with instrumental activities of daily living in healthy older adults. Journal of the International Neuropsychological Society, 18(1), 134–138.Google Scholar
Wechsler, D. (Ed.) (1998). WMS-III—Administration and scoring manual (Psychological Corporation Ltd ed.). London, UK: Psychological Corporation Ltd.Google Scholar
Wilson, B. A., Cockburn, J., & Baddeley, A. D. (Eds.) (1985). The Rivermead Behavioural Memory Test. London: Pearson Assessment.Google Scholar
Zeintl, M., Kliegel, M., Rast, P., & Zimprich, D. (2006). Prospective memory complaints can be predicted by prospective memory performance in older adults. Dementia & Geriatric Cognitive Disorders, 22(3), 209–215.Google Scholar
Zung, A. (1965). A self-rating depression scale. Archives of General Psychiatry, 12, 63–70.Google Scholar