Abstract
Purpose: Deprivation and segregation indices are often examined as possible explanations for observed health disparities in population-based studies. In this study, we assessed the role of recognized deprivation and segregation indices specifically as they affect survival in a cohort of self-identified Black women diagnosed with ovarian cancer who enrolled in the African American Cancer Epidemiology Study. Methods: Mediation analysis was used to examine the direct and indirect effects between deprivation or segregation and overall survival via a Bayesian structural equation model with Gibbs variable selection. Results: The results suggest that high socioeconomic status-related indices have an association with increased survival, ranging from 25% to 56%. In contrast, index of concentration at the extremes-race does not have a significant impact on overall survival. In many cases, the indirect effects have very wide credible intervals; consequently, the total effect is not well estimated despite the estimation of the direct effect. Conclusions: Our results show that Black women living in higher socioeconomic status neighborhoods are associated with increased survival with ovarian cancer using area-level economic indices such as Yost or index of concentration at the extremes-income. In addition, the Kolak urbanization index has a similar impact and highlights the importance of area-level deprivation and segregation as potentially modifiable social factors in ovarian cancer survival.
Original language | English (US) |
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Pages (from-to) | 57-64 |
Number of pages | 8 |
Journal | Annals of Epidemiology |
Volume | 86 |
DOIs | |
State | Published - Oct 2023 |
All Science Journal Classification (ASJC) codes
- Epidemiology
Keywords
- AACES 1 cohort
- Bayesian
- Causal mediation
- Deprivation indices
- Diagnostic delay
- ICE
- Ovarian cancer
- Structural equation
- Survival
- Yost