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Innov Aging
Innov Aging
innovateage
Innovation in Aging
2399-5300 Oxford University Press US 

10.1093/geroni/igaa057.2817
igaa057.2817
Abstracts
Session 7150 (Symposium)
AcademicSubjects/SOC02600
Characterizing Illness Perception Phenotypes in Older Adults With Chronic Kidney Disease
Rivera Eleanor 1 Hirschman Karen 2 Townsend Raymond 1 1 
University of Pennsylvania, Philadelphia, Pennsylvania, United States
2 
NewCourtland Center for Transitions and Health, Philadelphia, Pennsylvania, United States
2020 
16 12 2020 
16 12 2020 
4 Suppl 1 Program Abstracts from The GSA 2020 Annual Scientific Meeting “Turning 75: Why Age Matters”779 779
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.2020This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Abstract
An individual’s understanding of their chronic illness (illness perception) is a psychological resource that has an impact on coping and self-management behaviors. Our previous study identified illness perception phenotypes (overall patterns of illness perceptions) in a sample of older adults with heart failure, COPD, and chronic kidney disease. These phenotypes were associated with perceived self-management ability (patient activation) and recent hospitalizations. To further characterize the illness perception phenotypes we focused on older adults with chronic kidney disease, analyzing illness perception data along with potential covariates from the multi-center longitudinal Chronic Renal Insufficiency Cohort study (CRIC). Covariates include sociodemographics, disease parameters, personality type, disease knowledge, and treatment adherence. While personality type was associated with illness perception phenotype, disease knowledge and treatment adherence were not. We have also conducted qualitative analyses of in-depth interviews. These results will inform the development of a pilot intervention incorporating illness perception information into the clinical setting.