Literature DB >> 28025282

Memory Resilience to Alzheimer's Genetic Risk: Sex Effects in Predictor Profiles.

Kirstie L McDermott1, G Peggy McFall1,2, Shea J Andrews3, Kaarin J Anstey3, Roger A Dixon1,2.   

Abstract

OBJECTIVES: Apolipoprotein E (APOE) ɛ4 and Clusterin (CLU) C alleles are risk factors for Alzheimer's disease (AD) and episodic memory (EM) decline. Memory resilience occurs when genetically at-risk adults perform at high and sustained levels. We investigated whether (a) memory resilience to AD genetic risk is predicted by biological and other risk markers and (b) the prediction profiles vary by sex and AD risk variant.
METHOD: Using a longitudinal sample of nondemented adults (n = 642, aged 53-95) we focused on memory resilience (over 9 years) to 2 AD risk variants (APOE, CLU). Growth mixture models classified resilience. Random forest analysis, stratified by sex, tested the predictive importance of 22 nongenetic risk factors from 5 domains (n = 24-112).
RESULTS: For both sexes, younger age, higher education, stronger grip, and everyday novel cognitive activity predicted memory resilience. For women, 9 factors from functional, health, mobility, and lifestyle domains were also predictive. For men, only fewer depressive symptoms was an additional important predictor. The prediction profiles were similar for APOE and CLU. DISCUSSION: Although several factors predicted resilience in both sexes, a greater number applied only to women. Sex-specific mechanisms and intervention targets are implied.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Alzheimer’s risk factors; Apolipoprotein E; Clusterin; Random forest analysis; Victoria Longitudinal Study

Mesh:

Substances:

Year:  2017        PMID: 28025282      PMCID: PMC5927155          DOI: 10.1093/geronb/gbw161

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


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