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ABSTRACT: Background
It is unknown whether an incident cancer diagnosis differentially impacts acute and long-term memory aging between older White and Black Americans.Methods
Incident cancer diagnoses and memory (immediate and delayed recall, combined with proxy-reported memory) were assessed at biennial study interviews in the US Health and Retirement Study (N=14,235, 1998-2016). We used multivariable segmented linear mixed-effects models to evaluate the rate of change in standardized memory score (SD/decade) in the years before, acutely at the time of, and in the years following an incident cancer diagnosis, compared to cancer-free adults, by race.Results
Black participants experienced faster memory decline than White participants (cancer-free group: -1.211 vs. -1.077; P<0.0001). An incident cancer diagnosis was associated with an acute memory drop in White, but not Black participants (-0.065 vs. 0.024; P<0.0001). However, White cancer survivors experienced slower memory decline than cancer-free White adults before and after diagnosis, but this memory advantage was not observed among Black cancer survivors.Conclusions
Racial disparities in memory aging are not modified by an incident cancer diagnosis. The acute cancer-related memory decline and long-term memory advantage experienced by White, but not Black, cancer survivors relative to cancer-free older adults, requires further investigation.
SUBMITTER: Eastman MR
PROVIDER: S-EPMC9132235 | biostudies-literature | 2022 Apr-Jun 01
REPOSITORIES: biostudies-literature
Eastman Marisa R MR Ospina-Romero Monica M Westrick Ashly C AC Kler Jasdeep S JS Glymour Medellena Maria MM Abdiwahab Ekland E Kobayashi Lindsay C LC
Alzheimer disease and associated disorders 20220204 2
<h4>Background</h4>It is unknown whether an incident cancer diagnosis differentially impacts acute and long-term memory aging between older White and Black Americans.<h4>Methods</h4>Incident cancer diagnoses and memory (immediate and delayed recall, combined with proxy-reported memory) were assessed at biennial study interviews in the US Health and Retirement Study (N=14,235, 1998-2016). We used multivariable segmented linear mixed-effects models to evaluate the rate of change in standardized me ...[more]