High-poverty Areas Research Articles

Change in Child Opportunity Index in Early Childhood Is Associated with Youth BMI Growth.

Background: The neighborhood-level child opportunity index (COI) has been used in policy-based initiatives to identify and improve low-resource neighborhoods in order to impact child health. Understanding of how changes in COI can impact child growth, however, is lacking. Methods: Participants were 1124 children from the Family Life Project, a longitudinal birth cohort of families in rural, high-poverty areas. Youth anthropometrics were measured at eight assessments (ages 2 months through 12 years). Neighborhood COI was obtained at seven assessments (ages 2 months through 5 years) and used to create seven trajectory groups representing a change in COI: stayed low on all seven assessments, stayed moderate, stayed high, left low, declined from moderate, declined from high, and bounced around. Results: As hypothesized, moving from high COI neighborhoods into lower COI neighborhoods was associated with greater BMI growth and increased risk for obesity and severe obesity at 12 years. As hypothesized, the opposite effect, which approached significance at p = 0.056, was found among children who moved from low COI neighborhoods into higher COI neighborhoods. Specifically, moving into higher COI neighborhoods was associated with reduced BMI growth, and lower risk for severe obesity at 12 years. Conclusions: Moving into higher COI neighborhoods may be associated with healthier BMI growth, while the opposite effect may occur when moving into lower COI neighborhoods. Given the use of the COI in public health initiatives and growing evidence for its potential positive impact on child growth, future work is needed to replicate our findings among larger diverse samples.

Initial Witnessing on Future Witnessing: A Mediation Analysis of Chronic Community Violence, Post-Traumatic Stress, and Delinquency in Urban, African American Youth.

Witnessing community violence can predict negative mental health outcomes for youth such as post-traumatic stress symptoms and delinquent behavior. Such outcomes differ by gender. Variables that predict witnessing community violence in youth are less understood. This study aims to explore potential pathways between initial witnessing and continued witnessing for early adolescents. The relationship between witnessing as a predictor and witnessing as an outcome is hypothesized to be mediated by both post-traumatic stress and delinquency and moderated by gender. A sample of 153 African American, sixth-grade students (M= 11.65, 59% female) in high crime, high poverty areas completed self-report surveys at baseline, 12 and 24 months. Moderated serial mediation was used to assess longitudinal associations. For the full model, delinquency at Time 3 was associated with a positive change in witnessing at Time 3. Gender moderated several paths. For girls, witnessing at Time 1 was predictive of high post-traumatic stress (aggregate) at Time 2 and high delinquency at Time 3. For girls, witnessing at Time 1 also was predictive of higher hyperarousal and higher intrusion subscale symptoms than other symptoms at Time 2. Analyses also indicated that hyperarousal at Time 2 significantly predicted witnessing at Time 3 for girls only. Lastly, delinquency at Time 3 was associated with a positive change in witnessing at Time 3. For boys, no analyses indicated witnessing at Time 1 as a significant predictor. Results contribute to our understanding of the trajectory of witnessing community violence and the roles both post-traumatic stress subscales and delinquency play in that trajectory, especially among girls.

Rural-urban disparities in cardiovascular disease mortality vary by poverty level and region.

To examine rural and urban disparities in cardiovascular disease (CVD) death rates by poverty level and region. Using 2021 county-level population and mortality data for CVD deaths listed as the underlying cause among adults aged 35-64 years, we calculated age-standardized CVD death rates and rate ratios (RR) for 4 categories of counties: high-poverty rural, high-poverty urban, low-poverty rural, and low-poverty urban (referent). Results are presented nationally and by US Census region. Rural and urban disparities in CVD mortality varied markedly by poverty and region. Nationally, the CVD death rate was highest among high-poverty rural areas (191 deaths per 100,000, RR: 1.76, CI: 1.73-1.78). By region, Southern high-poverty rural areas had the highest CVD death rate (256 deaths per 100,000) and largest disparity relative to low-poverty urban areas (RR: 2.05; CI: 2.01-2.09). In the Midwest and West, CVD death rates among high-poverty areas were higher than low-poverty areas, regardless of rural or urban classification. Results reinforce the importance of prioritizing high-poverty rural areas, especially in the South, in efforts to reduce CVD mortality. These efforts may need to consider socioeconomic conditions and region, in addition to rural and urban disparities.

ELSOL: A citizen science project for college students

ELSOL is a pilot project funded by the National Science Foundation (NSF). The objective is to learn methods that increase the participation of minoritized individuals living in high poverty, from urban and rural areas, in STEM careers. The final goal is that these students do not stop their studies with only a two-year Associate of Science degree, and they want to continue studying in a university for at least another two or three years. This goal will be achieved by engagement through experiential learning in which students will take an introductory astrobiology/data science class that uses a Citizen Science (CS)-NASA radiotelescope. We describe the setup of the project in this proceeding, we share the main concepts learned from our students, and graphs obtained by the first generation. Likewise, we share some of our observations and recommendations to implement for the next semester that we teach the class.

Beyond COVID-19: assessment of learning loss on human capital

Purpose This study aims to investigate the effect of the COVID-19 pandemic on K-12 education using County level data. Design/methodology/approach The authors use County-level data and charts to look at enrollment, performance in different grade levels, poverty measures, access to internet, etc., to shed light on educational losses after the pandemic. Findings In remote education after the pandemic, access to the internet has emerged as the foundational element of educational equity. While declines in academic engagement during remote schooling affected many schools, the potential for learning loss was significantly higher in lower-income communities. A thorough examination of end-of-grade level assessment data revealed a concerning trend of declining Math and Language Arts performance post-pandemic. Research limitations/implications One of the major limitations that the authors have faced in this research is that the authors did not have access to the individual/household level data regarding the high-speed internet connection, household income, poverty level and other relevant socio-economic variables. That made it impossible to control for variables of interest, and hence a distinction between correlation and causation was not possible. Practical implications Learning loss implications can be potentially long-term and complex. Therefore, targeted and intentional interventions are essential to decrease the disparity gaps, increase resources and raise learning levels to exceed prepandemic outcomes. Such interventions can impact skill development and the potential for future economic success, both individually and collectively. Social implications The findings underscore the urgent need for targeted interventions to address the digital disparities intensifying learning loss in Clayton County, Georgia. Effective strategies must prioritize equitable access to internet resources and technology, particularly for students in high-poverty areas. By bridging these gaps, schools and communities can reduce the potential for long-term consequences of pandemic-induced learning loss and create pathways for a more equitable future in education. Originality/value The main idea of this paper is to compare and contrast the learning losses in K-12 education after the COVID-19 pandemic within neighboring counties and see if the digital divide and/or poverty had any impact on the extent of those learning losses.

Longitudinal Exposure to Neighborhood Concentrated Poverty Contributes to Differences in Adiposity in Midlife Women.

Background: Neighborhood poverty is associated with adiposity in women, though longitudinal designs, annually collected residential histories, objectively collected anthropometric measures, and geographically diverse samples of midlife women remain limited. Objective: To investigate whether longitudinal exposure to neighborhood concentrated poverty is associated with differences in body mass index (BMI) and waist circumference (WC) among 2,328 midlife women (age 42-52 years at baseline) from 6 U.S. cities enrolled in the Study of Women's Health Across the Nation (SWAN) from 1996 to 2007. Methods: Residential addresses and adiposity measures were collected at approximately annual intervals from the baseline visit through a 10-year follow-up. We used census poverty data and local spatial statistics to identify hot-spots of high concentrated poverty areas and cold-spots of low concentrated poverty located within each SWAN site region, and used linear mixed-effect models to estimate percentage differences (95% confidence interval [CI]) in average BMI and WC levels between neighborhood concentrated poverty categories. Results: After adjusting for individual-level sociodemographics, health-related factors, and residential mobility, compared to residents of moderate concentrated poverty communities, women living in site-specific hot-spots of high concentrated poverty had 1.5% higher (95% CI: 0.6, 2.3) BMI and 1.3% higher (95% CI: 0.5, 2.0) WC levels, whereas women living in cold-spots of low concentrated poverty had 0.7% lower (95% CI: -1.2, -0.1) BMI and 0.3% lower (95% CI: -0.8, 0.2) WC. Site-stratified results remained in largely similar directions to overall estimates, despite wide CIs and small sample sizes. Conclusions: Longitudinal exposure to neighborhood concentrated poverty is associated with slightly higher BMI and WC among women across midlife.

Paternal Self-Efficacy Scale for Nonresident Fathers: Scale Development and Validation

Previous research points to the importance of parenting self-efficacy in facilitating father engagement, thereby promoting optimal developmental outcomes in children. Nonresident fathers’ engagement differs from resident fathers, resulting in a need for a novel measure of paternal self-efficacy (PSE). This article presents two studies: Study 1—the development of a measure of nonresident PSE and Study 2—the validation of this measure with low-income, nonresident fathers. Nine focus groups were conducted at nine urban responsible fatherhood programs in low-income, high-poverty areas in the northeastern United States ( n = 71), yielding seven items for PSE. The Father Appraisal Inventory (FAI) was disseminated through a survey to nonresident fathers ( n = 542) in responsible father programs to assess convergent and predictive validity. Analyses demonstrated convergence with father satisfaction and predicted quantity and quality of father involvement and co-parenting.

Reconsidering Household Food Insecurity: Assessing the Impact of Neighborhood and Household Characteristics

ABSTRACT Motivated by substantial public health implications of food insecurity, this study systematically reexamined its determinants beyond household disadvantages. Utilizing data from the Panel Study of Income Dynamics and American Community Survey, hierarchical linear modeling was employed. The findings underscored notable between-neighborhood variations in food insecurity after adjusting for household-specific characteristics, revealing residing in high-poverty or nonmetropolitan areas heightened the risk. Demographic disparities were evident, with Black and Hispanic households experiencing elevated food insecurity, despite neighborhood racial composition. Additional household factors exacerbating food insecurity included financial constraints, limited education, vehicle inaccessibility, and single-living arrangements. These findings inform interventions in similar contexts.

Peru’s National Policy on Financial Inclusion and Its Alignment with Sustainable Development Goal I

This article analyzes the implementation of the National Financial Inclusion Strategy (NFIS) and its alignment with Sustainable Development Goal (SDG) I: Eradicate poverty. Despite the progress achieved, structural gaps persist and substantially limit the NFIS’s contribution to poverty reduction, especially among rural, indigenous, extreme poverty, and other vulnerable groups. The article employs a mixed methods approach combining qualitative and quantitative techniques. On the qualitative side, a hermeneutic documentary analysis of the NFIS and related regulations was carried out, with a critical textual interpretation supported by specialized software. Quantitatively, descriptive statistical techniques were applied to analyze official financial inclusion indicators—methodological integration was achieved through analytical triangulation under a concurrent mixed methods approach. The progress of initiatives under the NFIS was evaluated, identifying limitations such as the digital divide in rural areas, limited financing for Micro and Small Enterprises, gaps in financial education, and growing exposure to digital fraud. Although the NFIS promotes greater access to financial services, it does not explicitly focus on the poorest and most excluded populations. Therefore, it is recommended that the objectives and indicators of the NFIS be reformulated to focus on universal access and effective use of financial services by the population in extreme poverty and chronic exclusion. In addition, a strategic articulation with social protection policies is necessary, as well as promoting culturally relevant microfinance and inclusive finance models, strengthening consumer protection, and consolidating public–private alliances in high-poverty areas. Finally, strong monitoring and accountability are also key.

Living in high-poverty areas is associated with reduced survival in patients with thoracoabdominal aortic aneurysms

ObjectivesStudies have demonstrated that socioeconomic status, insurance, race, and distance impact clinical outcomes in patients with abdominal aortic aneurysms. The purpose of this study was to assess if these factors also impact clinical outcomes in patients with thoracoabdominal aortic aneurysms (TAAAs). MethodsWe conducted a retrospective review of patients with TAAAs confirmed by computed tomography imaging between 2009 and 2019 at a single institution. Patients’ zip codes were mapped to American Community Survey Data to obtain geographic poverty rates. We used the standard U.S. Census definition of high-poverty concentration as >20% of the population living at 100% of the poverty rate. Our primary outcome was overall survival, stratified by whether the patient underwent repair. ResultsOf 578 patients, 575 had zip code data and were analyzed. In both the nonoperative (N = 268) and operative (N = 307) groups, there were no significant differences in age, race, comorbidities, clinical urgency, surgery utilization, or surgery modality between patients living in high-poverty areas (N = 95, 16.4%) vs not. In the nonoperative group, patients from high-poverty areas were more likely to have aneurysm due to dissection (37.5% vs 17.6%, P = .03). In multivariate analyses, patients from high-poverty zip codes had significantly worse nonoperative survival (hazard ratio [HR]: 1.9, 95% confidence interval [CI]: 1.1-3.3, P = .03). In the repair group, high poverty was also a significant predictor of reduced postoperative survival (HR: 1.65, 95% CI: 1-2.63, P = .04). Adding the Gagne Index, these differences persisted in both groups (nonoperative: HR: 1.93, 95% CI: 1.01-3.70, P = .05; operative: HR: 1.62, 95% CI: 1.03-2.56, P = .04). In Kaplan-Meier analysis, the difference in postoperative survival began approximately 1.5 years after repair. Private insurance was predictive of improved postoperative survival (HR: 0.42, 95% CI: 0.18-0.95, P = .04) but reduced nonoperative survival (HR: 2.05, 95% 1.01-4.14, P = .04). Data were insufficient to determine if race impacted survival discretely from poverty status. These results were found after adjusting for age, race, sex, maximum aortic diameter, coronary artery disease, distance from the hospital, insurance, and active smoking. Interestingly, in multivariate regression, traveling greater than 100 miles was correlated with increased surgery utilization (odds ratio: 1.58, 95% CI: 1.08-2.33, P = .02) and long-term survival (HR: 0.61, 95% CI: 0.41-0.92, P = .02). ConclusionsPatients with TAAAs living in high-poverty areas had significantly more dissections and suffered a nearly doubled risk of mortality compared with patients living outside such areas. These data suggest that these disparities are attributed to the overall impacts of poverty and highlight the pressing need for research into TAAA disparities.

Metallomics: An Essential Tool for the Study of Potential Antiparasitic Metallodrugs.

Metallomics is an emerging area of omics approaches that has grown enormously in the past few years. It integrates research related to metals in biological systems, in symbiosis with genomics and proteomics. These omics approaches can provide in-depth insights into the mechanisms of action of potential metallodrugs, including their physiological metabolism and their molecular targets. Herein, we review the most significant advances concerning cellular uptake and subcellular distribution assays of different potential metallodrugs with activity against Trypanosma cruzi, the protozoan parasite that causes Chagas disease, a pressing health problem in high-poverty areas of Latin America. Furthermore, the first multiomics approaches including metallomics, proteomics, and transcriptomics for the comprehensive study of potential metallodrugs with anti-Trypanosoma cruzi activity are described.

Acceptability of HPV self-collection: A qualitative study of Black women living with type II diabetes and social vulnerability

IntroductionHuman papillomavirus (HPV) causes 99.7% of cervical cancer cases. Cervical cancer is preventable through early detection via HPV testing. However, the number of women screened for cervical cancer has not increased in the last several years. Lower screening rates among women living in high poverty and social vulnerability areas, Black women, and women with chronic co-morbidities (e.g., type 2 diabetes (T2D)) are associated with their higher cervical cancer mortality rates. When screened, Black women are more likely to be diagnosed at later stages and die from cervical cancer. HPV self-collection decreases barriers to cervical cancer screening and can help lessen disparities among underserved women. This study aimed to examine the acceptability of HPV self-collection among Black women with T2D living in socially vulnerable communities. MethodsQualitative semi-structured interviews were conducted with 29 Black women with T2D living in communities with high social vulnerability. The Health Belief Model informed the development of the interview guide to gather data on the acceptability of HPV self-collection. ResultsThree main themes aligned with the Health Belief Model were identified: (1) HPV self-collection provides a comfortable alternative to in-clinic HPV testing (perceived benefits); (2) HPV self-collection would result in awareness of current HPV status (health motivation); and (3) Women were concerned about collecting their sample accurately (perceived barriers). Discussion/ConclusionBlack women with T2D living in communities with high social vulnerability identified multiple benefits of cervical cancer screening through HPV self-collection. Women are concerned about their ability to collect these samples correctly. Our findings call for future studies focusing on increasing self-efficacy and skills to collect HPV samples among Black women with chronic conditions like T2D who reside in underserved communities with high social vulnerability.

Who takes up a free lunch? Summer Food Service Program availability and household grocery food spending

The Summer Food Service Program (SFSP) provides free meals to children in low-income neighborhoods as a summertime replacement for the National School Lunch Program (NSLP). Unlike the NSLP, the SFSP does not directly means test its recipients, and there are no large-scale administrative data describing the children it serves. I provide the first descriptive evidence of how SFSP site availability and meal provision varies across states and correlates with area demographics. I find that there is a positive relationship between an area’s likely need and SFSP availability, but availability plateaus before reaching full coverage in the highest poverty areas. As a second-best measure of household take up of the SFSP, I link these data to transaction-level records on household grocery expenditures and study the effect of SFSP availability on households’ grocery food spending. I use variation in the timing and intensity of SFSP meal provision to show that, under some assumptions, households with children reduce weekly grocery food spending by 1.8 percent for each additional meal received. These spending reductions are driven by households who are ineligible for subsidized meals during the academic year, providing suggestive evidence of targeting inefficiencies in the SFSP.

Accuracy of Cancer Registry Primary Payer Information and Implications for Policy Research.

Cancer registry-based "primary payer at diagnosis" (PPDx) data are commonly used to evaluate the effect of insurance on cancer care outcomes, yet little is known about how well they capture Medicaid or Medicare enrollment. We linked the National Cancer Institute's Surveillance, Epidemiology, and End Results registry data to monthly Centers for Medicare and Medicaid Services (CMS) Medicaid and Medicare enrollment records, state-year Medicaid policy, and managed care enrollment. We selected adults aged 19-64 years diagnosed between 2007 and 2011. We used bivariate analyses to compare PPDx to CMS enrollment at diagnosis month and assessed underreporting rates by patient characteristics and state-year policy. PPDx reported 7.8% Medicare and 10.1% Medicaid, whereas CMS enrollment indicated 5.5% Medicare, 10.4% Medicaid, and 3.4% dual Medicare-Medicaid (N = 896,031). Positive predictive values for PPDx assignment to Medicaid and Medicare were 65.3% and 75.4%, with false negative rates of 52.0% and 33.8%, respectively. Medicaid underreporting was higher in low (56.5%) versus high (50.8%) poverty areas, for males (56.1%) versus females (48.9%), for Medicaid poverty expansion or waiver enrolled (63.8%) versus cash assistance-related eligibility (47.3%), and in states with large managed care enrollment (all P < 0.001). If Medicaid and Medicare enrollment data were used to edit PPDx, 12.0% of persons would switch primary payer assignment. Registry-reported PPDx fails to fully capture Medicaid and Medicare enrollment, which may result in biased estimates of insurance-related policy impacts. Enhancement with objective enrollment data could reduce measurement error and bias in estimates necessary to support policy assessment.

Will Cities Survive? Sustainable Architecture and Urbanism for Future Cities

Abstract For decades, the climate crisis has been demanding our action and commitment. Numerous efforts to reach an international consensus via climate summits, such as COP25 and the Paris Agreement, have not had any expected results yet. However, many talks about climate change were put on hold during the last two years when the new coronavirus put the world on alert. This process has not been easy as COVID-19 highlighted critical deficiencies in our built environment and urban design. Even though infections battered affluent areas too, the pandemic hit high-poverty areas the hardest. Dense neighborhoods and overcrowded buildings could facilitate the rapid spread of infections due to the difficulty of generating social distancing and the application of extensive quarantines. Yet, various changes have been adopted rapidly. On top of that, the use of public spaces, streets, parks, homes, and all buildings had to be adjusted to control the spread of the virus, which transformed our habits and conceptions. Numerous studies showed great variations in the use of transportation during the pandemic too. Fundamental questions that remain unanswered are: are those changes here to stay? What does the future hold for our built environments? Some even go as far as to question: will cities survive? While many intellectuals and academics call for the end of cities (at least as we know them), some stakeholders urge to return to normality, or so-called status quo.

Disparities Contributing to Late-Stage Diagnosis of Lung, Colorectal, Breast, and Cervical Cancers: Rural and Urban Poverty in Florida.

Despite advances in cancer screening, late-stage cancer diagnosis is still a major cause of morbidity and mortality in the United States. In this study, we aim to understand demographic and geographic factors associated with receiving a late-stage diagnosis (LSD) of lung, colorectal, breast, or cervical cancer. (1) Methods: We analyzed data of patients with a cancer diagnosis between 2016 and 2020 from the Florida Cancer Data System (FCDS), a statewide population-based registry. To investigate correlates of LSD, we estimated multi-variable logistic regression models for each cancer while controlling for age, sex, race, insurance, and census tract rurality and poverty. (2) Results: Patients from high-poverty rural areas had higher odds for LSD of lung (OR = 1.23, 95% CI (1.10, 1.37)) and breast cancer (OR = 1.31, 95% CI (1.17,1.47)) than patients from low-poverty urban areas. Patients in high-poverty urban areas saw higher odds of LSD for lung (OR = 1.05 95% CI (1.00, 1.09)), breast (OR = 1.10, 95% CI (1.06, 1.14)), and cervical cancer (OR = 1.19, 95% CI (1.03, 1.37)). (3) Conclusions: Financial barriers contributing to decreased access to care likely drive LSD for cancer in rural and urban communities of Florida.

Metallomics as an Essential Analytical Tool for the Development of Potential Metallodrugs

Metallomics as an Essential Analytical Tool for the Development of Potential Metallodrugs

Food deserts and dental care utilization in the United States.

Although food deserts are known to impact health and healthcare utilization, no research has investigated the relationship between food deserts and dental care utilization. This study aimed to fill this gap by assessing the relationship between living in a food desert and self-reported dental care utilization in the past year. Data are from the National Longitudinal Study of Adolescent to Adult Health (N = 10,495). The association between food deserts and dental care utilization was assessed using covariate-adjusted multiple logistic regression. Living in a food desert was associated with higher odds of not utilizing dental care in the past year. This association was concentrated among high-poverty areas (≥20% poverty rate). The current study is the first to assess the relationship between living in a food desert and dental care utilization. The findings demonstrate that individuals living in low-income urban food deserts may be at increased risk for not utilizing dental care.

Leading the improvement of underperforming schools: reviewing the contemporary evidence

PurposeThe purpose of this article is to outline how far the empirical evidence supports the centrality of leadership in the process of improving underperforming schools.Design/methodology/approachThis article draws on evidence from a contemporary, selected, review of the literature.FindingsThe findings show that leadership is the critical factor in the improvement of underperforming schools. Seven new themes, derived from the selected evidence, are presented that illuminate how leaders secure improvement in the most challenging of school contexts.Research limitations/implicationsThis review is not a systematic review of the evidence and does not claim to be. It provides a commentary based on selected contemporary evidence and therefore is not comprehensive account of all the relevant evidence pertaining to leading the improvement of underperforming schools. The evidence is derived from sources written in English; therefore, it is fully acknowledged that other sources, in other languages might exist but are not included or reflected.Practical implicationsThe practical implications are clearly laid out in the form of seven key themes about leading the improvement of underperforming schools that are of direct practical use.Originality/valueWith so many schools in high poverty areas finding themselves in difficulty, this contemporary review provides new insights about the leadership approaches and practices that continue to make a considerable difference to underperforming schools.

Racial and Socioeconomic Disparities in Long-Term Outcomes in ≥1 Year Allogeneic Hematopoietic Cell Transplantation Survivors: A CIBMTR Analysis

Racial/ethnic minorities have demonstrated worse survival after allogeneic hematopoietic cell transplantation (HCT) compared to whites. Whether the racial disparity in HCT outcomes persists in long-term survivors and possibly may be even exacerbated in this population, which frequently transitions back from the transplant center to their local healthcare providers, is unknown. In the current study, we compared long-term outcomes among 1-year allogeneic HCT survivors by race/ethnicity and socioeconomic status (SES). The Center for International Blood and Marrow Transplant Research database was used to identify 5473 patients with acute myeloid leukemia, acute lymphocytic leukemia, chronic myeloid leukemia, or myelodysplastic syndromes who underwent their first allogeneic HCT between 2007 and 2017 and were alive and in remission for at least 1 year after transplantation. The study was restricted to patients who underwent HCT in the United States. SES was defined using patient neighborhood poverty level estimated from the recipient's ZIP code of residence; a ZIP code with ≥20% of persons below the federal poverty level was considered a high poverty area. The primary outcome was to evaluate the associations of race/ethnicity and neighborhood poverty level with overall survival (OS), relapse, and nonrelapse mortality (NRM). Cox regression models were used to determine associations of ethnicity/race and SES with OS, relapse, and NRM. Standardized mortality ratios were calculated to compare mortality rates of the study patients and their general population peers matched on race/ethnicity, age, and sex. The study cohort was predominately non-Hispanic white (n = 4385) and also included non-Hispanic black (n = 338), Hispanic (n = 516), and Asian (n = 234) patients. Overall, 729 patients (13%) resided in high-poverty areas. Significantly larger proportions of non-Hispanic black (37%) and Hispanic (26%) patients lived in high-poverty areas compared to non-Hispanic whites (10%) and Asians (10%) (P < .01). Multivariable analysis revealed no significant associations between OS, PFS, relapse, or NRM and race/ethnicity or poverty level when adjusted for patient-, disease- and transplantation-related covariates. Our retrospective cohort registry study shows that among adult allogeneic HCT recipients who survived at least 1 year in remission, there were no associations between race/ethnicity, neighborhood poverty level, and long-term outcomes.