McDermott, Kirstie LMcFall, G. PeggyAndrews, SheaAnstey, KaarinDixon, Roger A.2021-08-061873-9598http://hdl.handle.net/1885/243250Objectives: 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. Sexspecific mechanisms and intervention targets are implied.This work was supported by the National Institutes of Health (National Institute on Aging; grant number R01 AG008235); the Canada Research Chairs program; and the Canadian Consortium on Neurodegeneration in Aging (with funding from Canadian Institutes of Health Research and partners, including SANOFI-ADVENTIS R&D) to Roger Dixon. The National Health and Medical Research Council (Research Fellowship #1102694 and Grant #1100579) supported Kaarin Anstey’s involvement.application/pdfen-AU© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of AmericaAlzheimer’s risk factorsApolipoprotein EClusterinRandom forest analysisVictoria Longitudinal Study201710.1093/geronb/gbw1612020-11-23