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Lawson AB, Kim J, Johnson C, Ratnapradipa KL, Alberg AJ, Akonde M, Hastert T, Bandera EV, Terry P, Mandle H, Cote ML, Bondy M, Marks J, Peres LC, Schildkraut J, Peters ES. The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women. Cancers (Basel) 2023; 15:4848. [PMID: 37835542 PMCID: PMC10571563 DOI: 10.3390/cancers15194848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND 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.
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Affiliation(s)
- Andrew B. Lawson
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
- Usher Institute, School of Medicine, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Joanne Kim
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA;
| | - Courtney Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Kendra L. Ratnapradipa
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Anthony J. Alberg
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Theresa Hastert
- Department of Oncology, Wayne State University School of Medicine, Population Studies and Disparities Research Program, Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08625, USA
| | - Paul Terry
- Department of Medicine, University of Tennessee Medical Center-Knoxville, Knoxville, TN 37920, USA
| | - Hannah Mandle
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Michele L. Cote
- Bren Simon Comprehensive Cancer Center, Indiana University Melvin, Inidianapolis, IN 46202, USA;
| | - Melissa Bondy
- Department of Epidemiology and Population Health, College of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Jeffrey Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA;
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA;
| | - Joellen Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Edward S. Peters
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Lawson AB, Kim J, Johnson C, Hastert T, Bandera EV, Alberg AJ, Terry P, Akonde M, Mandle H, Cote ML, Bondy M, Marks J, Peres L, Ratnapradipa KL, Xin Y, Schildkraut J, Peters ES. Deprivation and segregation in ovarian cancer survival among African American women: a mediation analysis. Ann Epidemiol 2023; 86:57-64. [PMID: 37423270 PMCID: PMC10538403 DOI: 10.1016/j.annepidem.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/03/2023] [Accepted: 07/05/2023] [Indexed: 07/11/2023]
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.
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Affiliation(s)
- Andrew B Lawson
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston; Usher Institute, Centre for Population Health Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
| | - Joanne Kim
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus
| | - Courtney Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Theresa Hastert
- Department of Oncology, Wayne State University School of Medicine, Population Studies and Disparities Research Program, Karmanos Cancer Institute, Detroit, MI
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick
| | - Anthony J Alberg
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Paul Terry
- Department of Medicine, University of Tennessee Medical Center-Knoxville, Knoxville
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Hannah Mandle
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Michele L Cote
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis
| | - Melissa Bondy
- Department of Epidemiology and Population Health, Stanford University, College of Medicine, Stanford, CA
| | - Jeffrey Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC
| | - Lauren Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Kendra L Ratnapradipa
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha
| | - Yao Xin
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston
| | - Joellen Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Edward S Peters
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha
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