The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women

dc.contributor.authorLawson, Andrew B.
dc.contributor.authorKim, Joanne
dc.contributor.authorJohnson, Courtney
dc.contributor.authorRatnapradipa, Kendra L.
dc.contributor.authorAlberg, Anthony J.
dc.contributor.authorAkonde, Maxwell
dc.contributor.authorHastert, Theresa
dc.contributor.authorBandera, Elisa V.
dc.contributor.authorTerry, Paul
dc.contributor.authorMandle, Hannah
dc.contributor.authorCote, Michele L.
dc.contributor.authorBondy, Melissa
dc.contributor.authorMarks, Jeffrey
dc.contributor.authorPeres, Lauren C.
dc.contributor.authorSchildkraut, Joellen
dc.contributor.authorPeters, Edward S.
dc.contributor.departmentEpidemiology, School of Public Health
dc.date.accessioned2024-03-25T11:03:12Z
dc.date.available2024-03-25T11:03:12Z
dc.date.issued2023-10-04
dc.description.abstractBackground: Deprivation indices are often used to adjust for socio-economic disparities in health studies. Their role has been partially evaluated for certain population-level cancer outcomes, but examination of their role in ovarian cancer is limited. In this study, we evaluated a range of well-recognized deprivation indices in relation to cancer survival in a cohort of self-identified Black women diagnosed with ovarian cancer. This study aimed to determine if clinical or diagnostic characteristics lie on a mediating pathway between socioeconomic status (SES) and deprivation and ovarian cancer survival in a minority population that experiences worse survival from ovarian cancer. Methods: We used mediation analysis to look at the direct and indirect causal effects of deprivation indices with main mediators of the SEER stage at diagnosis and residual disease. The analysis employed Bayesian structural equation models with variable selection. We applied a joint Bayesian structural model for the mediator, including a Weibull mixed model for the vital outcome with deprivation as exposure. We selected modifiers via a Monte Carlo model selection procedure. Results: The results suggest that high SES-related indices, such as Yost, Kolak urbanicity (URB), mobility (MOB) and SES dimensions, and concentrated disadvantage index (CDI), all have a significant impact on improved survival. In contrast, area deprivation index (ADI)/Singh, and area level poverty (POV) did not have a major impact. In some cases, the indirect effects have very wide credible intervals, so the total effect is not well estimated despite the estimation of the direct effect. Conclusions: First, it is clear that commonly used indices such as Yost, or CDI both significantly impact the survival experience of Black women diagnosed with epithelial ovarian cancer. In addition, the Kolak dimension indices (URB, MOB, mixed immigrant: MICA and SES) also demonstrate a significant association, depending on the mediator. Mediation effects differ according to the mediator chosen.
dc.eprint.versionFinal published version
dc.identifier.citationLawson AB, Kim J, Johnson C, et al. The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women. Cancers (Basel). 2023;15(19):4848. Published 2023 Oct 4. doi:10.3390/cancers15194848
dc.identifier.urihttps://hdl.handle.net/1805/39470
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isversionof10.3390/cancers15194848
dc.relation.journalCancers
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectOvarian cancer
dc.subjectSurvival
dc.subjectDeprivation indices
dc.subjectKolak
dc.subjectSingh
dc.subjectYost
dc.subjectCDI
dc.subjectCausal mediation
dc.subjectBayesian
dc.subjectStructural equation
dc.subjectMixed effect models
dc.titleThe Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women
dc.typeArticle
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