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  • Title: Evaluating the Impact of Social and Built Environments on Health-Related Quality of Life among Cancer Survivors.
    Author: Chu JN, Canchola AJ, Keegan THM, Nickell A, Oakley-Girvan I, Hamilton AS, Yu RL, Gomez SL, Shariff-Marco S.
    Journal: Cancer Epidemiol Biomarkers Prev; 2022 Jan; 31(1):161-174. PubMed ID: 34728471.
    Abstract:
    BACKGROUND: With almost 17 million U.S. cancer survivors, understanding multilevel factors impacting health-related quality of life (HRQOL) is critical to improving survivorship outcomes. Few studies have evaluated neighborhood impact on HRQOL among cancer survivors. METHODS: We combined sociodemographic, clinical, and behavioral data from three registry-based studies in California. Using a three-level mixed linear regression model (participants nested within block groups and study/regions), we examined associations of both independent neighborhood attributes and neighborhood archetypes, which capture interactions inherent among neighborhood attributes, with two HRQOL outcomes, physical (PCS) and mental (MCS) composite scores. RESULTS: For the 2,477 survivors, 46% were 70+ years, 52% were non-Hispanic White, and 53% had localized disease. In models minimally adjusted for age, stage, and cancer recurrence, HRQOL was associated with neighborhood socioeconomic status (nSES), racial/ethnic composition, population density, street connectivity, restaurant environment index, traffic density, urbanicity, crowding, rental properties, and non-single family units. In fully adjusted models, higher nSES remained associated with better PCS, and restaurant environment index, specifically more unhealthy restaurants, associated with worse MCS. In multivariable-adjusted models of neighborhood archetype, compared with upper middle-class suburb, Hispanic small town and inner city had lower PCS, and high status had higher MCS. CONCLUSIONS: Among survivors, higher nSES was associated with better HRQOL; more unhealthy restaurants were associated with worse HQROL. As some neighborhood archetypes were associated with HRQOL, they provide an approach to capture how neighborhood attributes interact to impact HRQOL. IMPACT: Elucidating the pathways through which neighborhood attributes influence HRQOL is important in improving survivorship outcomes.
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