The neighborhood food environment modifies the association between infant feeding and childhood obesity.

BACKGROUND: The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) issues infant formula to infants who are not fully breastfed, and prior research found elevated obesity risk among children receiving lactose-reduced infant formula with corn syrup solids (CSSF) issued by WIC. This study was conducted to evaluate associations between a broader set of specialty infant formulas issued by WIC and child obesity risk, whether neighborhood context (e.g. neighborhood food environment) modifies associations, and whether racial/ethnic disparities in obesity are partly explained by infant formula exposure and neighborhood context. METHODS: WIC administrative data, collected from 2013-2020 on issued amount (categorical: fully formula fed, mostly formula fed, mostly breastfed, fully breastfed) and type of infant formula (standard cow's milk formula, and three specialty formulas: any CSSF, any soy-based formula, and any cow's milk-based formula with added rice starch) and obesity at ages 2-4 years (defined as a Body Mass Index z-score ≥ 95th percentile according to World Health Organization growth standard) were used to construct a cohort (n = 59,132). Associations of infant formula exposures and race/ethnicity with obesity risk were assessed in Poisson regression models, and modification of infant feeding associations with obesity by neighborhood context was assessed with interaction terms. RESULTS: Any infant formula exposure was associated with significantly higher obesity risk relative to fully breastfeeding. Receipt of a CSSF was associated with 5% higher obesity risk relative to the standard and other specialty infant formulas (risk ratio 1.05, 95% confidence interval 1.02, 1.08) independent of breastfeeding duration and receipt of other specialty infant formulas. The association between CSSF and obesity risk was stronger in neighborhoods with healthier food environments (10% higher risk) compared to less healthy food environments (null). Racial/ethnic disparities in obesity risk were robust to adjustment for infant formula exposure and neighborhood environment. CONCLUSIONS: Among specialty infant formulas issued by WIC, only CSSFs were associated with elevated obesity risk, and this association was stronger in healthier food environments. Future research is needed to isolate the mechanism underlying this association.

Longitudinal Impacts of Precision Greenness on Alzheimer's Disease.

BACKGROUND: The potential for greenness as a novel protective factor for Alzheimer's disease (AD) requires further exploration. OBJECTIVES: This study assesses prospectively and longitudinally the association between precision greenness - greenness measured at the micro-environmental level, defined as the Census block - and AD incidence. DESIGN: Older adults living in consistently high greenness Census blocks across 2011 and 2016 were compared to those living in consistently low greenness blocks on AD incidence during 2012-2016. SETTING: Miami-Dade County, Florida, USA. PARTICIPANTS: 230,738 U.S. Medicare beneficiaries. MEASUREMENTS: U.S. Centers for Medicare and Medicaid Services Chronic Condition Algorithm for AD based on ICD-9 codes, Normalized Difference Vegetation Index, age, sex, race/ethnicity, neighborhood income, and walkability. RESULTS: Older adults living in the consistently high greenness tertile, compared to those in the consistently low greenness tertile, had 16% lower odds of AD incidence (OR=0.84, 95% CI: 0.76-0.94, p=0.0014), adjusting for age, sex, race/ethnicity, and neighborhood income. Age, neighborhood income and walkability moderated greenness' relationship to odds of AD incidence, such that younger ages (65-74), lower-income, and non-car dependent neighborhoods may benefit most from high greenness. CONCLUSIONS: High greenness, compared to low greenness, is associated with lower 5-year AD incidence. Residents who are younger and/or who reside in lower-income, walkable neighborhoods may benefit the most from high greenness. These findings suggest that consistently high greenness at the Census block-level, may be associated with reduced odds of AD incidence at a population level.

Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.

Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran's Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.

A study on analysing sociospatial distribution and equity in access to urban parks in Bengaluru, India.

BACKGROUND: Given the effect of urbanisation on land use, allocation, and implementation of urban green spaces, we attempt to analyse the sociospatial distribution and equity in access to urban parks in Bengaluru, India, also known as the garden city of India. METHODS: Geospatial method was used for mapping the park's distribution and measuring the accessibility using road network data. To understand equitable access to the parks, four socioeconomic parameters from 2011 census (ie, population density, children aged 6 years or younger, proxy wealth index, and the Scheduled Caste population) were correlated with the parks' accessibility. FINDINGS: The spatial distribution revealed that 19 of 198 wards did not have a single park and 36 wards only had one park. About 25-29% of wards did not have accessibility to neighbourhood-level and community-level parks within a 400-800 m distance. These parks must be accessible within walking distance of 400-800 m but were found to most likely be inaccessible in the periphery where population density was low and children population was high in comparison to the central part of the city. Similarly, parks found inaccessible in the eastern part of the city where the scheduled caste population is high, and also found inaccessible to the low-income neighbourhoods residing in the western part and southern periphery of the city, indicating the uneven distribution and inequitable access to public parks. INTERPRETATION: Our study proposes reshaping of both neighbourhood parks and community parks, an attempt to look beyond biodiversity. The affirmative actions in terms of availability of public parks with adequate area requirement and essential services at a neighbourhood scale is required to redress the inequity of access. In addition, accessibility to parks must be considered important in urban planning. FUNDING: None.

The spatial and social correlates of neighborhood morphology: Evidence from building footprints in five U.S. metropolitan areas.

Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. We conclude by discussing the implications of our findings and suggesting avenues for future research on neighborhood morphology, including ways that it might provide insight into issues such as zoning and land use, housing policy, and residential segregation.

The Birth and Beyond (BABY) study: protocol for a birth cohort study investigating the social and environmental determinants of pregnancy-related outcomes in Black American families.

INTRODUCTION: In the USA, Black birthing people and infants experience disproportionately worse pregnancy-related health outcomes. The causes for these disparities are unknown, but evidence suggests that they are likely socially and environmentally based. Efforts to identify the determinants of these racial disparities are urgently needed to elucidate the highest priority targets for intervention. The Birth and Beyond (BABY) study evaluates how micro-level (eg, interpersonal and family) and macro-level (eg, neighbourhood and environmental) risk and resiliency factors transact to shape birth person-infant health, and underlying psychobiological mechanisms. METHODS AND ANALYSIS: The BABY study will follow 350 Black families (birthing parents, non-birthing parents and infants) from pregnancy through the first postpartum year, with research visits during pregnancy and at infant ages 6 and 12 months. Research visits comprise a combination of interview about a range of recent and life course stress and resiliency exposures and supports, psychophysiological (sympathetic, parasympathetic and adrenocortical) assessment and behavioural observations of parent-infant coregulatory behaviours. Spatial analyses are completed by mapping parent current and past residential addresses onto archival public data (eg, about neighbourhood quality and racial segregation). Finally, EMRs are abstracted for information about birthing parent relevant medical history, pregnancy conditions and infant birth outcomes. Analyses will evaluate the risk and resiliency mechanisms that contribute to pregnancy and birth-related outcomes for Black birthing people and their infants, and the protective role of individual, familial, cultural, and community supports. ETHICS AND DISSEMINATION: The BABY study has been approved by the Institutional Review Board at Albany Medical Centre. The study team consulted with local organisations and groups comprised of stakeholders and community leaders and continues to do so throughout the study. Research results will be disseminated with the scientific and local community as appropriate.

An examination of early socioeconomic status and neighborhood disadvantage as independent predictors of antisocial behavior: A longitudinal adoption study.

The present study examined early socioeconomic status (SES) and neighborhood disadvantage (ND) as independent predictors of antisocial behavior (ASB) and addressed the etiology of the associations (i.e., genes versus the environment) using a longitudinal adoption design. Prospective data from the Colorado Adoption Project (435 adoptees, 598 nonadopted children, 526 biological grandparents of adoptees, 481 adoptive parents, and 617 nonadoptive parents including biological parents of unrelated siblings of adoptees) were examined. SES and ND were assessed during infancy and ASB was evaluated from ages four through 16 using parent and teacher report. Associations between predictors and ASB were compared across adoptive and nonadoptive families and sex. Early SES was a nominally significant, independent predictor of antisocial ASB, such that lower SES predicted higher levels of ASB in nonadoptive families only. ND was not associated with ASB. Associations were consistent across aggression and delinquency, and neither SES nor ND was associated with change in ASB over time. Nominally significant associations did not remain significant after controlling for multiple testing. As such, despite nonsignificant differences in associations across sex or adoptive status, we were unable to make definitive conclusions regarding the genetic versus environmental etiology of or sex differences in the influence of SES and ND on ASB. Despite inconclusive findings, in nonadoptees, results were consistent-in effect size and direction-with previous studies in the literature indicating that lower SES is associated with increased risk for ASB.

Sense of neighborhood belonging and health: geographic, racial, and socioeconomic variation in Wisconsin.

Background: Individuals' sense of belonging (SoB) to their neighborhood is an understudied psychosocial factor that may influence the association between neighborhood characteristics, health, and disparities across socio-demographic groups. Methods: Using 2014-2016 data from the Survey of the Health of Wisconsin (SHOW, N = 1,706), we conduct a detailed analysis of SoB and health in an American context. We construct OLS and logistic regressions estimating belonging's association with general, physical, and mental health. We explore geographic, racial, and socioeconomic variation to understand both the differential distribution of SoB and its heterogeneous relationship with health. Results: A higher SoB is positively associated with better physical, mental, and general health. White participants report higher SoB than Black participants, yet the association between SoB and mental health is strongest among participants of color and urban residents. Conclusion: Sense of belonging to neighborhood significantly predicts many facets of health, with place and individual characteristics appearing to moderate this relationship. Racial, geographic, and socioeconomic disparities in belonging-health associations raise important questions about who benefits from the social, economic, and physical aspects of local communities.

Unpacking Neighborhood Socioeconomic Status in Children's Health Research from an Environmental Justice Perspective: A Scoping Review.

PURPOSE OF REVIEW: Clearly defining and measuring neighborhood socioeconomic status (nSES) is a key first step in achieving environmental justice, as the disproportionate distribution of environmental hazards and access to resources is heavily influenced by socioeconomic factors. This scoping review explores the definition of neighborhoods, measurement of neighborhood socioeconomic status (nSES), and studies that evaluated the association between nSES and child health in accordance with PRISMA guidelines. RECENT FINDINGS: We identified 4112 articles published on US pediatric populations between 2013 and 2022. We identified 170 distinct indicators across seven broad domains of nSES used to create 121 different measures of nSES across the 206 publications included in this review. While there is considerable interest in nSES and children's health, there is also substantial variation in the measurement of neighborhood as a geographic unit and nSES as a construct. We observed methodological challenges related to the identification of neighborhood boundaries, indicator selection, and nSES measure definition(s). We discuss common pitfalls in neighborhood research that can complicate identifying, targeting, and resolving environmental injustices. Lastly, we put forward a series of recommendations to reduce measurement error and improve inference, in addition to reporting recommendations for neighborhoods and health research that can aid in improving our understanding of pathways between neighborhood context and child health, inform policy development, and allocate resources to achieve environmental justice.

A Co-Created Assessment Framework to Measure Inclusive Health and Wellbeing in a Vulnerable Context in the South of Europe.

Rapid urbanisation exacerbates health and wellbeing disparities in vulnerable contexts and underscores the imperative need to develop innovative and participatory co-creation approaches to understand and address the specificities of these contexts. This paper presents a method to develop an assessment framework that integrates top-down dimensions with bottom-up perspectives to monitor the impact of inclusive health and wellbeing interventions tailored to the neighbourhood's needs in Las Palmeras, a vulnerable neighbourhood in Cordoba (Spain). Drawing upon studies in the literature examining urban health and wellbeing trends, it delineates a participatory and inclusive framework, emphasising the need for context-specific indicators and assessment tools. Involving diverse stakeholders, including residents and professionals, it enriches the process and identifies key indicators and assessment methods. This approach provides valuable insights for managing innovative solutions, aligning them with local expectations, and measuring their impact. It contributes to the discourse on inclusive urban health by advocating for participatory, context-specific strategies and interdisciplinary collaboration. While not universally applicable, the framework offers a model for health assessment in vulnerable contexts, encouraging further development of community-based tools for promoting inclusive wellbeing.

Sustainability outcomes and policy implications: Evaluating China's "old urban neighborhood renewal" experiment.

Globally, old urban neighborhood transformation has become a new urban sustainability focus for its significant contribution to the United Nation's Sustainable Development Goal 11. A regeneration-oriented approach is particularly important for Chinese cities with a dwindling land supply, obsoleting infrastructure, and inadequate standard of living. Using a mixed-methods approach informed by BREEAM Communities, we examined two Chinese initiatives-old urban neighborhood renewal (OUNR) and sponge city development (SCD)-through a comprehensive study of pilot project sustainability, policy emphases and gaps, and broader governance implications. We found that SCD's top-down technocratic management was highly efficient in enhancing neighborhood hydrological functions and physical environment. However, successes were undermined by the lack of climate considerations and civic participation. Besides actionable recommendations for applied scholarship and policymaking in China, we provide insight into how the OUNR/SCD initiatives may broadly inform worldwide urban regeneration practices through project and policy experimentations that build adaptive capacity.

Walkability and socio-economic status in relation to walking, playing and sports practice in a representative Spanish sample of youth: The PASOS study.

PURPOSE: Physical activity (PA) provides multiple health-related benefits in children and adolescents, however, at present, the majority of young people are insufficiently physically active. The aim of this study was to evaluate if neighborhood walkability and/or socio-economic status (SES) could affect the practice of walking, play outdoors and sports practice in a representative sample of Spanish children and adolescents. METHODS: A sample of 4092 youth (aged 8-16 years old) from 245 primary and secondary schools in 121 localities from each of the 17 Spanish autonomous communities participated in the study. Walk Score was used to evaluate walkability of the neighborhood and household income was used as an indicator of SES. A 7-item self-reported validated questionnaire, was used to assess PA levels, and in a subsample of 10% of the participants, randomly selected from the entire sample, PA was objectively measured by accelerometers. RESULTS: Youth from more walkable areas reported more minutes walking per day compared with those from less walkable neighborhoods (51.4 vs 48.8 minutes, respectively). The lowest average minutes spent in playing outdoors was found among participants from low-SES and low-walkable neighborhoods. Neighborhood SES influenced on the participation in team sports during the weekend, being this participation higher in high SES neighborhoods. CONCLUSION: Providing high walkable environments seems a good strategy to promote PA regardless SES levels. It seems that improving the walkability is a key component to partially overcome the SES inequalities, especially in urban areas with low SES. High-SES environments can offer better sports facilities and more organized physical activities than low-SES ones.

Digital Redlining-The Invisible Structural Determinant of Health.

This Viewpoint describes digital redlining as racialized inequities in access to technology infrastructure, including access to health care, education, employment, and social services.

Exploring the use of experimental small area estimates to examine the relationship between individual-level and area-level community belonging and self-rated health.

Background: Small area estimation refers to statistical modelling procedures that leverage information or "borrow strength" from other sources or variables. This is done to enhance the reliability of estimates of characteristics or outcomes for areas that do not contain sufficient sample sizes to provide disaggregated estimates of adequate precision and reliability. There is growing interest in secondary research applications for small area estimates (SAEs). However, it is crucial to assess the analytic value of these estimates when used as proxies for individual-level characteristics or as distinct measures that offer insights at the area level. This study assessed novel area-level community belonging measures derived using small area estimation and examined associations with individual-level measures of community belonging and self-rated health. Data and methods: SAEs of community belonging within census tracts produced from the 2016-2019 cycles of the Canadian Community Health Survey (CCHS) were merged with respondent data from the 2020 CCHS. Multinomial logistic regression models were run between area-level SAEs, individual-level sense of community belonging, and self-rated health on the study sample of people aged 18 years and older. Results: Area-level community belonging was associated with individual-level community belonging, even after adjusting for individual-level sociodemographic characteristics, despite limited agreement between individual- and area-level measures. Living in a neighbourhood with low community belonging was associated with higher odds of reporting being in fair or poor health, versus being in very good or excellent health (odds ratio: 1.53; 95% confidence interval: 1.22, 1.91), even after adjusting for other factors such as individual-level sense of community belonging, which was also associated with self-rated health. Interpretation: Area-level and individual-level sense of community belonging were independently associated with self-rated health. The novel SAEs of community belonging can be used as distinct measures of neighbourhood-level community belonging and should be understood as complementary to, rather than proxies for, individual-level measures of community belonging.

Evaluating Methods for Mapping Historical Redlining to Census Tracts for Health Equity Research.

Neighborhood characteristics including housing status can profoundly influence health. Recently, increasing attention has been paid to present-day impacts of "redlining," or historic area classifications that indicated less desirable (redlined) areas subject to decreased investment. Scholarship of redlining and health is emerging; limited guidance exists regarding optimal approaches to measuring historic redlining in studies of present-day health outcomes. We evaluated how different redlining approaches (map alignment methods) influence associations between redlining and health outcomes. We first identified 11 existing redlining map alignment methods and their 37 logical extensions, then merged these 48 map alignment methods with census tract life expectancy data to construct 9696 linear models of each method and life expectancy for all 202 redlined cities. We evaluated each model's statistical significance and R2 values and compared changes between historical and contemporary geographies and populations using Root Mean Squared Error (RMSE). RMSE peaked with a normal distribution at 0.175, indicating persistent difference between historical and contemporary geographies and populations. Continuous methods with low thresholds provided higher neighborhood coverage. Weighting methods had more significant associations, while high threshold methods had higher R2 values. In light of these findings, we recommend continuous methods that consider contemporary population distributions and mapping overlap for studies of redlining and health. We developed an R application {holcmapr} to enable map alignment method comparison and easier method selection.

Where I'm Livin' and How I'm Feelin': Associations among community stress, gender, and mental-emotional health among Black Americans.

RATIONALE: Structural racism is a primary avenue for the perpetuation of racial health disparities. For Black Americans, both historically and contemporarily, the neighborhood context serves as one of the most striking examples of structural racism, with stressful neighborhood contexts contributing to the well-documented inequalities in psychological functioning among this population. OBJECTIVE: Thus, in this study, we adapted an intersectional-ecological framework to investigate the links between community stress and multiple dimensions of mental-emotional health for Black men and women. METHODS: Drawing on cross-sectional data from 842 Black Americans from the Milwaukee area, we tested both objective (Area Deprivation Index; ADI) and subjective (perceived neighborhood disadvantage; PND) indicators of community stress as simultaneous predictors of negative and positive affect and the odds of psychological disorder (depression, anxiety) in multilevel models, examining gender differences in these linkages. RESULTS: Results showed greater objective community stress was related to lower levels of negative affect for both men and women and lower odds of psychological disorder for women specifically. Greater subjective community stress was related to higher levels of negative affect and lower levels of positive affect for both men and women and to higher odds of psychological disorder for women specifically. CONCLUSIONS: Findings highlight the complex intersectional nature of the links between community stress and Black Americans' mental-emotional health. Specifically, findings demonstrate the pernicious psychological effects of perceived community stress and allude to Black Americans', particularly women's, active resistance and resilience to objective disadvantage, potentially through investing in social relationships in their neighborhoods.

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study.

BACKGROUND: Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES: We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS: We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS: Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [ß -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS: Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Neighborhood socioeconomic disadvantages influence outcomes following rotator cuff repair in the non-Medicaid population.

BACKGROUND: Prior investigations have utilized various surrogate markers of socioeconomic status to assess how health care disparities impact outcomes after rotator cuff repair (RCR). When taken as individual markers, these factors have inconsistent associations. Medicaid insurance status is an accessible marker that has recently been correlated with less optimal outcomes after RCR. Socioeconomic disparities exist within the non-Medicaid population as well and are arguably more difficult to characterize. The Area Deprivation Index (ADI) uses seventeen socioeconomic variables to establish a spectrum of neighborhood health care disparity. The purpose of this study was to determine the influence of neighborhood socioeconomic disadvantages, quantified by ADI, on 2-year patient reported outcome scores following RCR in the non-Medicaid population. METHODS: A retrospective review of patients who underwent RCR from 2015 to 2020 was performed. All procedures were performed by a group of 7 surgeons at a large academic center. Patient demographics and comorbidities were collected from charts. Rotator cuff tear size was assessed from arthroscopic pictures. ADI scores were calculated based on patients' home addresses using the Neighborhood Atlas tool. The primary outcome measure was American Shoulder and Elbow Surgeons (ASES) score with a minimum follow-up of 2 years. A linear regression analysis with covariate control for age and patient comorbidities was performed. RESULTS: There were 287 patients with a mean age of 60.11 years. The linear regression model between ADI and 2-year ASES score was significant (P = .02). When controlling for both age and patient comorbidities, every 0.9-point reduction in ADI resulted in a 1-point increase in the ASES score (P = .03). Patients with an ADI of 8, 9, or 10 had lower mean 2-year ASES scores than those with an ADI of 1 (87.08 vs. 93.19, P = .04), but both groups had similar change from preoperative ASES score (40.17 vs. 32.88, P = .12). The change in ASES score at 2-years in our study surpassed all established minimal clinically important difference values irrespective of ADI. CONCLUSION: Patients with greater levels of disparity in their home neighborhoods have worse final ASES scores at 2 years, but patients significantly improve from their preoperative state regardless of social disadvantages. This is the first study to the authors' knowledge that examines ADI and outcomes following RCR. Providers should be aware that patients with higher ADI scores may have inferior preoperative shoulder function. The results of this study support the utilization of primary RCR in applicable tears regardless of socioeconomic status.