Dataset Information

Use of empiric methods to inform prostate cancer health disparities: Comparison of neighborhood-wide association study "hits" in black and white men.

ABSTRACT:

Background

Black men are more likely to die of prostate cancer (PCa) compared with white men. Factors ranging from genetics to neighborhood environment contribute to these disparities. However, unlike genetics, agnostic investigations that identify candidate variables from large-scale data, and that allow for empiric investigations into differential associations between neighborhood and PCa by race/ethnicity, to the authors' knowledge have not been well explored. Thus, herein, the authors built on their previously developed, empiric neighborhood-wide association study (NWAS) in white men and conducted a NWAS in black men to determine whether findings differed by race.

Methods

Pennsylvania Cancer Registry data were linked to US Census data. For the NWAS in non-Hispanic black men, the authors evaluated the association between 14,663 neighborhood census variables and advanced PCa (11 high-stage and/or high-grade cases and 8632 low-stage and/or low-grade cases), adjusting for age, diagnosis year, spatial correlation, and multiple testing. Odds ratios and 95% credible intervals were reported. Replication of NWAS findings across black and white races was assessed using Bayesian mixed effects models.

Results

Five variables related to housing (3 variables), education (1 variable), and employment and/or transportation (1 variable) were found to be significantly associated with advanced PCa in black men compared with 17 socioeconomic variables (mostly related to poverty and/or income) in white men. The top hit in black men was related to crowding in renter-occupied housing (odds ratio, 1.10; 95% credible interval, 1.001-1.12). Nine of 22 NWAS hits (4 of 5 hits in black men) were replicated across racial/ethnic groups.

Conclusions

Different neighborhood variables, or "candidates," were identified across race-specific NWASs. These findings and empiric approaches warrant additional study and may inform PCa racial disparities, particularly future gene-environment studies aimed at identifying patients and/or communities at risk of advanced PCa.

SUBMITTER: Lynch SM

PROVIDER: S-EPMC7341673 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Use of empiric methods to inform prostate cancer health disparities: Comparison of neighborhood-wide association study "hits" in black and white men.

Lynch Shannon M SM Sorice Kristen K Tagai Erin K EK Handorf Elizabeth A EA

Cancer 20200101 9

<h4>Background</h4>Black men are more likely to die of prostate cancer (PCa) compared with white men. Factors ranging from genetics to neighborhood environment contribute to these disparities. However, unlike genetics, agnostic investigations that identify candidate variables from large-scale data, and that allow for empiric investigations into differential associations between neighborhood and PCa by race/ethnicity, to the authors' knowledge have not been well explored. Thus, herein, the author ...[more]

PMID: 32012234

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Project description:IntroductionNeighborhood socioeconomic (nSES) factors have been implicated in prostate cancer (PCa) disparities. In line with the Precision Medicine Initiative that suggests clinical and socioenvironmental factors can impact PCa outcomes, we determined whether nSES variables are associated with time to PCa diagnosis and could inform PCa clinical risk assessment.Materials and methodsThe study sample included 358 high risk men (PCa family history and/or Black race), aged 35-69 years, enrolled in an early detection program. Patient variables were linked to 78 nSES variables (employment, income, etc.) from previous literature via geocoding. Patient-level models, including baseline age, prostate specific antigen (PSA), digital rectal exam, as well as combined models (patient plus nSES variables) by race/PCa family history subgroups were built after variable reduction methods using Cox regression and LASSO machine-learning. Model fit of patient and combined models (AIC) were compared; p-values<0.05 were significant. Model-based high/low nSES exposure scores were calculated and the 5-year predicted probability of PCa was plotted against PSA by high/low neighborhood score to preliminarily assess clinical relevance.ResultsIn combined models, nSES variables were significantly associated with time to PCa diagnosis. Workers mode of transportation and low income were significant in White men with a PCa family history. Homeownership (%owner-occupied houses with >3 bedrooms) and unemployment were significant in Black men with and without a PCa family history, respectively. The 5-year predicted probability of PCa was higher in men with a high neighborhood score (weighted combination of significant nSES variables) compared to a low score (e.g., Baseline PSA level of 4ng/mL for men with PCa family history: White-26.7% vs 7.7%; Black-56.2% vs 29.7%).DiscussionUtilizing neighborhood data during patient risk assessment may be useful for high risk men affected by disparities. However, future studies with larger samples and validation/replication steps are needed.

Project description:BackgroundReducing disparities in men with prostate cancer (PCa) that may be caused by racial and socioeconomic differences is a major public health priority. Few reports have studied whether these disparities have changed over time.MethodsMen diagnosed with PCa from January 1, 2000 to December 31, 2015 were identified from the Massachusetts and Pennsylvania cancer registries. All-cause mortality and PCa and cardiovascular cause-specific mortality were assessed. To estimate neighborhood socioeconomic position (nSEP), a summary score was generated using census tract-level measures of income, wealth, educational attainment, and racial and income segregation. Participants were grouped by diagnosis year (2000-2003, 2004-2007, 2008-2011, or 2012-2015), and changing trends in the mortality rate ratio by race and nSEP were estimated using covariate-adjusted Cox models with follow-up for up to 10 years, until death, or until censoring on January 1, 2018.ResultsThere were 193,883 patients with PCa and 43,661 deaths over 1,404,131 person-years of follow-up. The Black-White adjusted hazard ratio (aHR) from 2000 to 2003 through 2012 to 2015 was stable for all-cause mortality (aHR, 1.14 to 0.97; P for heterogeneity = .42), decreased for PCa-specific mortality (aHR, 1.38 to 0.93; P for heterogeneity = .005), and increased for cardiovascular mortality (aHR, 1.09 to 1.28; P for heterogeneity = .034). The aHR comparing those in the lowest versus the highest nSEP quintile increased significantly for all-cause mortality (aHR, 1.54 to 1.79; P for heterogeneity = .008), but not for PCa-specific mortality (aHR, 1.60 to 1.72; P for heterogeneity = .40) or cardiovascular mortality (aHR, 1.72 to 1.89; P for heterogeneity = .085).ConclusionsAlthough Black-White disparities in prostate mortality declined in Massachusetts and Pennsylvania over the study period, nSEP mortality disparity trends were stagnant or increased, warranting further attention.Lay summaryFew reports have examined whether racial and socioeconomic disparities in prostate cancer mortality have widened or narrowed in recent years. Using data from 2 state registries (Massachusetts and Pennsylvania) with differing intensities of government-mandated health insurance, trends in racial and neighborhood socioeconomic disparities were studied among Black and White men diagnosed from 2000 to 2015. Overall, trends in racial disparities were stagnant for all-cause mortality, shrank for prostate mortality, and widened for cardiovascular mortality. Disparities associated with neighborhood socioeconomic status either were stagnant or widened across all mortality end points. In general, disparities were more pronounced in Pennsylvania than in Massachusetts.

Project description:Black men are disproportionately affected by prostate cancer (PCa), with earlier presentation, more aggressive disease, and higher mortality rates versus White men. Furthermore, Black men have less access to PCa treatment and experience longer delays between diagnosis and treatment. In this review, the authors discuss the factors contributing to racial disparities and present solutions to improve access to care and increase clinical trial participation among Black men with PCa. Racial disparities observed among Black men with PCa are multifaceted, evolving from institutional racism. Cultural factors include generalized mistrust of the health care system, poor physician-patient communication, lack of information on PCa and treatment options, fear of PCa diagnosis, and perceived societal stigma of the disease. In the United States, geographic trends in racial disparities have been observed. Economic factors, e.g., cost of care, recovery time, and cancer debt, play an important role in racial disparities observed in PCa treatment and outcomes. Racial diversity is often lacking in genomic and precision medicine studies. Black men are largely underrepresented in key phase 3 PCa trials and may be less willing to enroll in clinical trials due to lack of awareness, lack of diversity in clinical trial research teams, and bias of health care providers to recommend clinical research. The authors propose solutions to address these factors that include educating clinicians and institutions on the barriers Black men experience, increasing the diversity of health care providers and clinical research teams, and empowering Black men to be involved in their treatment, which are keys to creating equity for Black men with PCa. LAY SUMMARY: Prostate cancer negatively affects Black men more than men of other races. The history of segregation and mistreatment in the health care system may contribute to mistrust among Black men. Outcomes are worse for Black men because they are less likely to be screened or to receive treatment for prostate cancer. Black men also are unlikely to participate in clinical research, making it difficult for investigators to understand how Black men are affected by prostate cancer. Suggestions for addressing these differences include teaching physicians and nurses about the issues Black men experience getting treatment and improving how Black men get information on prostate cancer.

Project description:Racial disparities in many aging-related health outcomes are persistent and pervasive among older Americans, reflecting accelerated biological aging for Black Americans compared to White, known as weathering. Environmental determinants that contribute to weathering are poorly understood. Having a higher biological age, measured by DNA methylation (DNAm), than chronological age is robustly associated with worse age-related outcomes and higher social adversity. We hypothesize that individual socioeconomic status (SES), neighborhood social environment, and air pollution exposures contribute to racial disparities in DNAm aging according to GrimAge and Dunedin Pace of Aging methylation (DPoAm). We perform retrospective cross-sectional analyses among 2,960 non-Hispanic participants (82% White, 18% Black) in the Health and Retirement Study whose 2016 DNAm age is linked to survey responses and geographic data. DNAm aging is defined as the residual after regressing DNAm age on chronological age. We observe Black individuals have significantly accelerated DNAm aging on average compared to White individuals according to GrimAge (239%) and DPoAm (238%). We implement multivariable linear regression models and threefold decomposition to identify exposures that contribute to this disparity. Exposure measures include individual-level SES, census-tract-level socioeconomic deprivation and air pollution (fine particulate matter, nitrogen dioxide, and ozone), and perceived neighborhood social and physical disorder. Race and gender are included as covariates. Regression and decomposition results show that individual-level SES is strongly associated with and accounts for a large portion of the disparity in both GrimAge and DPoAm aging. Higher neighborhood deprivation for Black participants significantly contributes to the disparity in GrimAge aging. Black participants are more vulnerable to fine particulate matter exposure for DPoAm, perhaps due to individual- and neighborhood-level SES, which may contribute to the disparity in DPoAm aging. DNAm aging may play a role in the environment "getting under the skin", contributing to age-related health disparities between older Black and White Americans.

Project description:BackgroundThe reasons for black/white disparities in HIV epidemics among men who have sex with men have puzzled researchers for decades. Understanding reasons for these disparities requires looking beyond individual-level behavioral risk to a more comprehensive framework.Methods and findingsFrom July 2010-December 2012, 803 men (454 black, 349 white) were recruited through venue-based and online sampling; consenting men were provided HIV and STI testing, completed a behavioral survey and a sex partner inventory, and provided place of residence for geocoding. HIV prevalence was higher among black (43%) versus white (13% MSM (prevalence ratio (PR) 3.3, 95% confidence interval (CI): 2.5-4.4). Among HIV-positive men, the median CD4 count was significantly lower for black (490 cells/µL) than white (577 cells/µL) MSM; there was no difference in the HIV RNA viral load by race. Black men were younger, more likely to be bisexual and unemployed, had less educational attainment, and reported fewer male sex partners, fewer unprotected anal sex partners, and less non-injection drug use. Black MSM were significantly more likely than white MSM to have rectal chlamydia and gonorrhea, were more likely to have racially concordant partnerships, more likely to have casual (one-time) partners, and less likely to discuss serostatus with partners. The census tracts where black MSM lived had higher rates of poverty and unemployment, and lower median income. They also had lower proportions of male-male households, lower male to female sex ratios, and lower HIV diagnosis rates.ConclusionsAmong black and white MSM in Atlanta, disparities in HIV and STI prevalence by race are comparable to those observed nationally. We identified differences between black and white MSM at the individual, dyadic/sexual network, and community levels. The reasons for black/white disparities in HIV prevalence in Atlanta are complex, and will likely require a multilevel framework to understand comprehensively.

Project description:ImportanceBlack individuals are underrepresented in cancer clinical trials.ObjectiveTo examine whether Black and White men with prostate cancer differ in their willingness to discuss clinical trials with their physicians and, if so, whether patient-level barriers statistically mediate racial differences.Design, setting, and participantsThis cross-sectional survey study used baseline data from Partnering Around Cancer Clinical Trials, a randomized clinical trial to increase Black individuals' enrollment in prostate cancer clinical trials. Data were collected from 2016 through 2019 at 2 National Cancer Institute-designated comprehensive cancer centers; participants were Black and White men with intermediate-risk to high-risk prostate cancer. In mediation analysis, path models regressed willingness onto race and each potential mediator, simultaneously including direct paths from race to each mediator. Significant indirect effect sizes served as evidence for mediation.ExposuresRace was the primary exposure. Potential mediators included age, education, household income, perceived economic burden, pain/physical limitation, health literacy, general trust in physicians, and group-based medical suspicion.Main outcomes and measuresThe primary outcome was the answer to a single question: "If you were offered a cancer clinical trial, would you be willing to hear more information about it?"ResultsA total of 205 participants were included (92 Black men and 113 White men), with a mean (range) age of 65.7 (45-89) years; 32% had a high school education or lower, and 27.5% had a household income of less than $40 000. Most (88.3%) reported being definitely or probably willing to discuss trials, but White participants were more likely to endorse this highest category of willingness than Black participants (82% vs 64%; χ22 = 8.81; P = .01). Compared with White participants, Black participants were younger (F1,182 = 8.67; P < .001), less educated (F1,182 = 22.79; P < .001), with lower income (F1,182 = 79.59; P < .001), greater perceived economic burden (F1,182 = 42.46; P < .001), lower health literacy (F1,184 = 9.84; P = .002), and greater group-based medical suspicion (F1,184 = 21.48; P < .001). Only group-based medical suspicion significantly mediated the association between race and willingness to discuss trials (indirect effect, -0.22; P = .002).Conclusions and relevanceIn this study of men with prostate cancer, most participants were willing to discuss trials, but Black men were significantly less willing than White men. Black men were more likely to believe that members of their racial group should be suspicious of the health care system, and this belief was associated with lower willingness to discuss trials. Addressing medical mistrust may improve equity in clinical research.

Dataset Information

Use of empiric methods to inform prostate cancer health disparities: Comparison of neighborhood-wide association study "hits" in black and white men.

Background

Methods

Results

Conclusions

Publications

Use of empiric methods to inform prostate cancer health disparities: Comparison of neighborhood-wide association study "hits" in black and white men.

Similar Datasets

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