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The influence of demographic factors on subjective cognitive concerns and beta-amyloid

Published online by Cambridge University Press:  11 October 2016

Sarah L. Aghjayan
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA
Rachel F. Buckley
Affiliation:
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
Patrizia Vannini
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA Athinoula A. Martinos Center for Biomedical Imaging and the Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
Dorene M. Rentz
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
Jonathan D. Jackson
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
Reisa A. Sperling
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
Keith A. Johnson
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA Department of Radiology, Division of Molecular Imaging and Nuclear Medicine, Massachusetts General Hospital, Charlestown, MA, USA
Rebecca E. Amariglio*
Affiliation:
Department of Neurology, Brigham and Women's Hospital, Center for Alzheimer Research and Treatment, Boston, MA, USA Department of Neurology, Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
*
Correspondence should be addressed to: Rebecca Amariglio, Center for Alzheimer's Research and Treatment, Brigham and Women's Hospital, 221 Longwood Avenue, BL-104H, Boston, MA 02115, USA. Phone: 617-643-9014; Fax: 617-264-5212. Email: [email protected].

Abstract

Background:

Converging evidence suggests that subjective cognitive concerns (SCC) are associated with biomarker evidence of Alzheimer's disease (AD) prior to objective clinical impairment. However, the sensitivity of SCC reports in early AD may be biased by demographic factors. Here, we sought to investigate whether age, education, and sex influence the relationship between SCC and amyloid (Aβ) burden.

Methods:

In this cross-sectional study, we examined 252 clinically normal (CN) individuals (57.7% females) enrolled in the Harvard Aging Brain Study, ages 63–90 years (mean 73.7±6) with 6–20 years of education (mean 15.8±3). SCC was assessed as a composite score comprising three questionnaires. Cortical Aβ burden was assessed with Pittsburgh compound B positron emission tomography imaging. A series of linear regression models assessed the potential modifying role of demographic variables with respect to Aβ burden and SCC. A post-hoc mediation model was implemented to further understand the relationship between Aβ burden and SCC via their relationship with education.

Results:

Age (β = −0.84, p = 0.36) and sex (β = −0.55, p = 0.22) did not modify the relationship between SCC and Aβ burden. Fewer years of education was correlated with greater SCC (r = −0.12, p = 0.05), but the relationship between Aβ burden and SCC was stronger in those with more education (β = 1.16, p < 0.05). A partial mediation effect was found of Aβ burden on SCC via education (b = −0.12, 95% CI [−0.31, −0.02]).

Conclusions:

These findings suggest that the association between SCC and Aβ burden becomes stronger with greater educational attainment. Thus, SCC may be of particular importance in highly educated CN individuals harboring amyloid pathology.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2016 

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References

Amariglio, R. E. et al. (2012). Subjective cognitive complaints and amyloid burden in cognitively normal older individuals. Neuropsychologia, 50, 28802886. doi:10.1016/j.neuropsychologia.2012.08.011.CrossRefGoogle ScholarPubMed
Amariglio, R. E. et al. (2015). Subjective cognitive concerns, amyloid-β, and neurodegeneration in clinically normal elderly. Neurology, 85, 5662. doi:10.1212/WNL.0000000000001712.Google Scholar
Amariglio, R. E., Townsend, M. K., Grodstein, F., Sperling, R. A. and Rentz, D. M. (2011). Specific subjective memory complaints in older persons may indicate poor cognitive function. Journal of the American Geriatrics Society, 59, 16121617. doi:10.1111/j.1532-5415.2011.03543.Google Scholar
Benito-León, J., Mitchell, A. J., Vega, S. and Bermejo-Pareja, F. (2010). A population-based study of cognitive function in older people with subjective memory complaints. Journal Alzheimers Disease, 22, 159170. doi:10.3233/JAD-2010-100972.Google Scholar
Blair, J. R. and Spreen, O. (1989). Predicting premorbid IQ: a revision of the National Adult Reading Test. Clinical Neuropsychologist, 3, 129136. doi:10.1080/13854048908403285.Google Scholar
Bolla, K. I., Lindgren, K. N., Bonaccorsy, C. and Bleecker, M. L. (1991). Memory complaints in older adults. Fact or fiction? Archives of Neurology, 48, 6164.Google Scholar
Derouesné, C. et al. (1993). Empirical evaluation of the “Cognitive Difficulties Scale” for assessment of memory complaints in general practice: a study of 1628 cognitively normal subjects aged 45–75 years. International Journal of Geriatric Psychiatry, 8, 599607. doi:10.1002/gps.930080712.Google Scholar
Farias, S. T. et al. (2008). The measurement of everyday cognition (ECog): scale development and psychometric properties. Neuropsychology, 22, 531544. doi:10.1037/0894-4105.22.4.531.Google Scholar
Folstein, M. F., Folstein, S. E. and 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, 189198.Google Scholar
Geerlings, M. I., Schmand, B., Braam, A. W., Jonker, C., Bouter, L. M. and van Tilburg, W. (2000). Depressive symptoms and risk of Alzheimer's disease in more highly educated older people. Journal of the American Geriatrics Society, 48, 10921097.CrossRefGoogle ScholarPubMed
Gilewski, M. J., Zelinski, E. M. and Schaie, K. W. (1990). The memory functioning questionnaire for assessment of memory complaints in adulthood and old age. Psychology and Aging, 5, 482490.CrossRefGoogle ScholarPubMed
Ginó, S. et al. (2010). Memory complaints are frequent but qualitatively different in young and elderly healthy people. Gerontology, 56, 272277. doi:10.1159/000240048.Google Scholar
Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis. New York: The Guilford Press.Google Scholar
Jessen, F. et al. (2014). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimer's & Dementia: the Journal of the Alzheimer's Association, 10, 844852. doi:10.1016/j.jalz.2014.01.001.Google Scholar
Johnson, K. A. et al. (2007). Imaging of amyloid burden and distribution in cerebral amyloid angiopathy. Annals of Neurology, 62, 229234. doi:10.1002/ana.21164.Google Scholar
Jonker, C., Geerlings, M. I. and Schmand, B. (2000). Are memory complaints predictive for dementia? A review of clinical and population-based studies. International Journal of Geriatrric Psychiatry, 15, 983991.Google Scholar
Kim, J.-M., Stewart, R., Shin, I.-S., Choi, S.-K. and Yoon, J.-S. (2003). Subjective memory impairment, cognitive function and depression–a community study in older Koreans. Dementia and Geriatric Cognitive Disorders, 15, 218225. doi:68783.Google Scholar
Mendes, T. et al. (2008). Memory complaints in healthy young and elderly adults: reliability of memory reporting. Aging & Mental Health, 12, 177182. doi:10.1080/13607860701797281.Google Scholar
Mielke, M. M. et al. (2012). Indicators of amyloid burden in a population-based study of cognitively normal elderly. Neurology, 79, 15701577. doi:10.1212/WNL.0b013e31826e2696.Google Scholar
Mormino, E. C. et al. (2014). Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzhiemer's disease. Neurology, 82, 17601767.Google Scholar
Morris, J. C. (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology, 43, 24122414.Google Scholar
Perrotin, A., Mormino, E. C., Madison, C. M., Hayenga, A. O. and Jagust, W. J. (2012). Subjective cognition and amyloid deposition imaging: a Pittsburgh Compound B positron emission tomography study in normal elderly individuals. Archives of Neurology, 69, 223229. doi:10.1001/archneurol.2011.666.Google Scholar
Rabin, L. A. et al. (2015). Subjective cognitive decline in older adults: an overview of self-report measures used across 19 international research studies. Journal of Alzheimer's Disease, 48, S63–S86. doi:10.3233/JAD-150154.Google Scholar
Rentz, D. M. et al. (2010). Cognition, reserve and amyloid deposition in normal aging. Annals of Neurology, 67, 353–364. doi:10.1002/ana.21904.CrossRefGoogle ScholarPubMed
Ryan, J. J. and Paolo, A. M. (1992). A screening procedure for estimating premorbid intelligence in the elderly. Clinical Neuropsychologist, 6, 5362. doi:10.1080/13854049208404117.Google Scholar
Snitz, B. E., Small, B. J., Wang, T., Chang, C.-C. H., Hughes, T. F. and Ganguli, M. (2015). Do subjective memory complaints lead or follow objective cognitive change? A five-year population study of temporal influence. Journal of the International Neuropsychological Society, 21, 732742. doi:10.1017/S1355617715000922.Google Scholar
Stern, Y. (2009). Cognitive reserve. Neuropsychologia, 47, 20152028. doi:10.1016/j.neuropsychologia.2009.03.004.Google Scholar
Stewart, R. et al. (2008). Neuroimaging correlates of subjective memory deficits in a community population. Neurology, 70, 16011607. doi:10.1212/01.wnl.0000310982.99438.54.Google Scholar
Tomita, T. et al. (2014). Sex-specific effects of subjective memory complaints with respect to cognitive impairment or depressive symptoms. Psychiatry and Clinical Neuroscience, 68, 176181.Google Scholar
Trouton, A., Stewart, R. and Prince, M. (2006). Does social activity influence the accuracy of subjective memory deficit? Findings from a British community survey. Journal of the American Geriatrics Society, 54, 11081113. doi:10.1111/j.1532-5415.2006.00800.Google Scholar
van Oijen, M., de Jong, F. J., Hofman, A., Koudstaal, P. J. and Breteler, M. M. B. (2007). Subjective memory complaints, education, and risk of Alzheimer's disease. Alzheimer's & Dementia: the Journal of the Alzheimer's Association, 3, 9297. doi:10.1016/j.jalz.2007.01.011.Google Scholar
Wang, L. et al. (2004). Subjective memory deterioration and future dementia in people aged 65 and older. Journal of the American Geriatrics Society, 52, 20452051. doi:10.1111/j.1532-5415.2004.52568.Google Scholar
Wechsler, D. (1987). WMS-R Wechsler Memory Scale Revised Manual. New York: The Psychological Corporation Harcourt Brace Jovanovich, Inc.Google Scholar
Yesavage, J. A. et al. (1982). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research, 17, 3749.CrossRefGoogle Scholar
Zwan, M. D. et al. (2016). Subjective memory complaints in APOE ɛ4 carriers are associated with high amyloid-β Burden. Journal of Alzheimer's Disease, 49, 11151122. doi:10.3233/JAD-150446.Google Scholar