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Purpose Given that the relationships between higher BMI and adverse health outcomes are nonconstant and most pronounced at either ends of the BMI distribution, we assess the association between neighborhood poverty and BMI at multiple points along the BMI distribution. Methods Using data from the 1999 to 2015 Panel Study of Income Dynamics of Black and White adults in the United States, we estimate quantile regression models while jointly applying a marginal structural modeling approach to account for time-varying individual-level factors that may be simultaneously mediators as well as confounders. Results Neighborhood poverty was not found to be associated with bodyweight at any point along the BMI distribution for Black or White males. However, high neighborhood poverty, compared to low neighborhood poverty, predicted increases in bodyweight for Black females at the lower end of the BMI distribution and for White females at the higher end of the BMI distribution. No association was found between neighborhood poverty and BMI at the mean. Conclusions Results identify the most vulnerable subgroups, suggesting that White females at the higher end of the BMI distribution as well as Black females at the lower end of the BMI distribution are particularly sensitive to obesogenic environments.

Temporary mechanical circulatory support (MCS) devices are increasingly used in cardiogenic shock, but whether sociodemographic differences by sex, race and/or ethnicity, insurance status, and neighborhood poverty exist in the utilization of these devices is unknown.Retrospective cross-sectional study using the National Inpatient Sample for 2012-2017. Logistic regression models were used to examine predictors of use of temporary MCS devices and for in-hospital mortality, clustering by hospital-year.Our study population included 109,327 admissions for cardiogenic shock. Overall, 14.3% of admissions received an intra-aortic balloon pump, 4.2% a percutaneous ventricular assist device, and 1.8% extracorporeal membranous oxygenation (ECMO). After adjusting for age, comorbidities, and hospital characteristics, use of temporary MCS was lower in women compared to men (adjusted odds ratio [aOR] = 0.76, P.001), Black patients compared to white ones (aOR = 0.73, P.001), those insured by Medicare (aOR = 0.75, P.001), Medicaid (aOR = 0.74, P.001), or uninsured (aOR = 0.90, P = .015) compared to privately insured, and those in the lowest income neighborhoods (aOR = 0.94, P = .003) versus other neighborhoods. Women, admissions covered by Medicare, Medicaid, or uninsured, and those from low-income neighborhoods also had higher mortality rates even after adjustment for MCS implantation.There are differences in the use of temporary MCS in the setting of cardiogenic shock among specific populations within the United States. The growing use of MCS for treating cardiogenic shock highlights the need to better understand its impact on outcomes.

Living in adverse neighborhood environments have been linked to increased risk of aging-related diseases and mortality; however, the biological mechanisms explaining this observation remain poorly understood. DNA methylation (DNAm), a proposed biomarker of biological aging responsive to environmental stressors, offers promising insight into molecular pathways. We examined associations of three measures of neighborhood conditions (poverty, quality, and social cohesion) with three different epigenetic clocks (Horvath, Hannum, and Levine) using data from the Detroit Neighborhood Health Study (n=158). Using linear regression models, we evaluated associations in the total sample and stratified by gender and social cohesion. Differential effects by gender were found between men and women. Neighborhood poverty was associated with PhenoAge acceleration among women, but not among men (women: β = 1.4; 95% CI: −0.4, 3.3 vs. men: β = −0.3; 95% CI: −2.2, 1.5) in fully adjusted models. In models stratified on social cohesion, association of neighborhood poverty and quality with accelerated DNAm aging remained elevated for residents living in neighborhoods with lower social cohesion, but were null for those living in neighborhoods with higher social cohesion. Our study suggests that living in adverse neighborhood conditions can speed up epigenetic aging, while positive neighborhood characteristics may buffer effects.

Background Socioeconomic disparities are engrained in the US healthcare system and may extend to the prehospital cardiac arrest setting where mortality is high. Methods Using the National Emergency Medical Services Information System (NEMSIS) database, 150,003 cases were analyzed comparing socioeconomic status and cardiac arrest outcomes. Cardiac arrest outcomes were measured by the percent of cases that achieved return of spontaneous circulation (ROSC) and the percent of cases in which ROSC occurred in the Emergency Department (ED) as opposed to a prehospital setting which was a proxy for the length of time spent in cardiac arrest. Chi-square tests checked for statistical significance and effect size was measured using Pearson's r values and linear regression coefficients. Results Comparing neighborhood poverty level and the percent of cardiac arrest cases that achieved ROSC resulted in a Pearson's r value of 0.9424 (R2 = 0.8881, p Conclusions Low income individuals in cardiac arrest have a statistically significant lower probability of achieving ROSC and a higher chance of delayed ROSC.

Purpose: Toxic stress has been identified as a key mechanism by which poverty impacts health and empirical evidence on the relationship between poverty and biological markers of toxic stress is acc...

Purpose: Examine the association between neighborhood poverty histories and physical activity, and the moderation effect of family poverty and the mediation effect of built environments in such association. Design: A cross-sectional study of the Geographic Research on Wellbeing (2012-2013), a follow-up survey of statewide-representative Maternal and Infant Health Assessment (2003-2007). Setting: California. Participants: A total of 2493 women with children. Measures: Outcome measures are (1) daily leisure physical activity and (2) days of physical activity among children. An independent variable is poverty histories of census tract where the child resided. Mediators were mother-perceived social cohesion, mother-perceived neighborhood safety, distance to the closest park, and park acreage within 0.5 miles from the home. A moderator is family poverty. Analysis: Weighted regression analysis. Results: Family poverty was a significant moderator ( P < .05); poor children in neighborhoods with long-term moderate poverty, long-term high poverty, or increasing poverty (vs long-term low poverty) had greater odds of daily physical activity (odds ratio [OR] = 1.46, 1.50, 1.66, respectively). Nonpoor children in neighborhoods with long-term moderate poverty or increasing poverty (vs long-term low poverty) were associated with decreased odds of daily physical activity (OR = 0.61 and 0.44, respectively). Mediation associations were insignificant ( P > .05). Conclusion: The combined effect of family financial strains and neighborhood economic resources might prevent poor children in neighborhoods with long-term low poverty and decreasing poverty from utilizing health-promoting resources in neighborhoods.

The purpose of this study was to determine whether housing age in combination with neighborhood poverty, as a proxy for fetal exposure to heavy metal lead, is associated with adverse birth outcomes. We linked population-level birth certificate data for Black, Hispanic, White and Other women, stratified by nativity, from 2009–2011 in Texas (n = 1,040,642) to census the tract-level median housing age/poverty level from the American Community Survey, 2007–2011. Tracts with median housing age values before 1975 with a poverty level of 20% or more were considered to be neighborhoods with a high risk of exposure to deteriorating lead-based paint. We estimated multilevel models to examine the relationship between neighborhood housing age/poverty level and each dependent variable (preterm birth, low birth weight, small-for-gestational age). The odds of adverse birth outcomes were significantly higher for mothers living in high-poverty neighborhoods with median housing built before the lead-based paint ban. Increased awareness of—and improved methods of alleviating— ubiquitous lead-based paint exposure in Texas may be necessary interventions for positive developmental trajectories of children. Allocating federal funds for place-based interventions, including universal lead paint mitigation, in older, high-poverty neighborhoods may reduce the disproportionate risk of adverse birth outcomes.

The Adolescent Brain Cognitive Development (ABCD) Study of 11,880 youth incorporates a comprehensive range of measures assessing predictors and outcomes related to mental health across childhood and adolescence in participating youth, as well as information about family mental health history. We have previously described the logic and content of the mental health assessment battery at Baseline and 1-year follow-up. Here, we describe changes to that battery and issues and clarifications that have emerged, as well as additions to the mental health battery at the 2-, 3-, 4-, and 5-year follow-ups. We capitalize on the recent release of longitudinal data for caregiver and youth report of mental health data to evaluate trajectories of dimensions of psychopathology as a function of demographic factors. For both caregiver and self-reported mental health symptoms, males showed age-related decreases in internalizing and externalizing symptoms, while females showed an increase in internalizing symptoms with age. Multiple indicators of socioeconomic status (caregiver education, family income, financial adversity, neighborhood poverty) accounted for unique variance in both caregiver and youth-reported externalizing and internalizing symptoms. These data highlight the importance of examining developmental trajectories of mental health as a function of key factors such as sex and socioeconomic environment.

Efforts to improve colorectal cancer (CRC) screening rates include recognizing predictors of colonoscopy non-adherence and identifying these high-risk patient populations. Past studies have focused on individual-level factors but few have evaluated the influence of neighborhood-level predictors. We sought to assess the effect of census tract-based neighborhood poverty rates on scheduled screening colonoscopy non-adherence. In this prospective observational cohort study, data from electronic medical records and appointment tracking software were collected in 599 patients scheduled to undergo outpatient CRC screening colonoscopy at two academic endoscopy centers between January 2011 and December 2012. Non-adherence was defined as failure to attend a colonoscopy appointment within 1 year of the date it was electronically scheduled. Neighborhood poverty rate was determined by matching patients’ self-reported home address with their corresponding US census tract. Individual factors including medical comorbidities and prior appointment adherence behavior were also collected. Overall, 17% (65/383) of patients were non-adherent to scheduled colonoscopy at 1-year follow-up. Neighborhood poverty rate was a significant predictor of non-adherence to scheduled screening colonoscopy in multivariate modeling (OR 1.53 per 10% increase in neighborhood poverty rate, 95% CI 1.21–1.95, p

This research was specifically funded by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 615159 (ERC Consolidator Grant DEPRIVEDHOODS, Socio-spatial inequality, deprived neighbourhoods, and neighbourhood effects). Because the demographic composition of neighborhoods and schools overlaps, their effects on educational attainment are not independent of each other. Throughout the early teenage years, the timing and duration of exposure to neighborhood and school contexts can vary, advocating for a longitudinal approach when studying schooling outcomes. This study uses Avon Longitudinal Study of Parents and Children data (N = 4502; 49% female) to examine how exposure to poverty between ages 10–16 predicts educational attainment. The results indicate that enduring exposure to neighborhood poverty relates to educational attainment, while timing does not. For school poverty, longer exposure is related to lower attainment, but earlier exposure has a stronger impact than later exposure. Adolescents who were exposed to poverty in both contexts for the full observation period had the lowest educational attainment. The findings highlight the importance of understanding when and how long adolescents are exposed to contextual poverty. Publisher PDF

Few studies have documented the pathways through which individual level variables mediate the effects of neighborhoods on health. This study used structural equation modeling to examine if neighborhood characteristics are associated with depressive symptoms, and if so, what factors mediated these relationships. Cross-sectional data came from a sample of mostly rural, older adults in North Carolina (n = 1,558). Mediation analysis indicated that associations among neighborhood characteristics and depressive symptoms were mediated by loneliness (standardized indirect effect = -0.19, p 0.001), physical activity (standardized indirect effect = -0.01, p = 0.003), and perceived individual control (standardized indirect effect = -0.07, p = 0.02) with loneliness emerging as the strongest mediator. Monitoring such individual mediators in formative and process evaluations may increase the precision of neighborhood-based interventions and policies.

This longitudinal study investigates the association between neighborhood poverty and behavioral problems among young children. This study also examines whether social environments mediate the relationship between neighborhood poverty and behavioral problems. We used data from the third and fourth waves of the Fragile Families and Child Wellbeing study to assess behavioral problems separately for children who experienced no family poverty, moved out of family poverty, moved into family poverty, and experienced long-term family poverty. Regression models assessed the effect of neighborhood poverty on behavioral problem outcomes among children aged 5 years, after controlling for sociodemographic characteristics and earlier behavioral problems. Results showed an association between neighborhood poverty and lower social cohesion and safety, which lead to greater externalizing problems among children with long-term family poverty living in high-poverty neighborhoods compared with those in low-poverty neighborhoods. Policies and community resources need to be allocated to improve neighborhood social environments, particularly for poor children in high-poverty neighborhoods.

Objectives To determine whether historical neighborhood poverty measures are associated with mothers' reports of their children's sleep duration and to compare results from historical neighborhood poverty measures to contemporaneous measures of neighborhood poverty. Design The Geographic Research on Wellbeing (GROW) study is a follow-up survey of mothers who gave birth between 2003 and 2007. GROW mothers assessed their own and their children's health and health behaviors 5-10 years later (2012-2013). Setting Urban Californian counties. Participants GROW respondents. Measurements We categorized children's sleep as adequate or inadequate using clinical age-specific guidelines and based on mothers' reports of their child's sleep duration. We conducted a latent class analysis to identify historical poverty classes for all California census tracts using data from 1970 to 2005-2009, and we categorized current neighborhood poverty based on data from 2005 to 2009 only. We then assigned children to different neighborhood exposure classes based on their neighborhood of residence at birth and follow-up. Results Logistic models indicated that net of controls for demographics, child behavior and health characteristics, mother characteristics, and household socioeconomic status, children who grew up in historically low (OR: 0.64, 95% confidence interval = 0.45-0.92) or historically moderate poverty classes (OR: 0.68, 95% confidence interval = 0.48-0.98) had lower odds of inadequate sleep duration compared with children who grew up in historically high poverty. We show that the historical specification of neighborhood poverty remained significant despite controls, whereas contemporaneous measures of neighborhood poverty did not. Conclusions Our findings indicate strong associations between historical neighborhood poverty and child sleep duration.

BACKGROUND: Are 9-1-1 ambulances relatively late to poorer neighborhoods? Studies suggesting so often rely on weak measures of neighborhood (e.g., postal zip code), limit the analysis to particular ambulance encounters (e.g., cardiac arrest responses), and do little to account for variations in dispatch priority or intervention severity. METHODS: We merged EMS ambulance contact records in a single California county (n = 87,554) with tract-level data from the American Community Survey (n = 300). After calculating tract-level median ambulance response time (MART), we used ordinary least squares (OLS) regression to estimate a conditional average relationship between neighborhood poverty and MART and quantile regression to condition this relationship on 25th, 50th, and 75th percentiles of MART. We also specified each of these outcomes by five dispatch priorities and by three intervention severities. For each model, we estimated the associated changes in MART per 10 percentage point increase in tract-level poverty while adjusting for emergency department proximity, population density, and population size. RESULTS: Our study produced three major findings. First, most of our tests suggested tract-level poverty was negatively associated with MART. Our baseline OLS model estimates that a 10 percentage point increase in tract-level poverty is associated with almost a 24 s decrease in MART (-23.55 s, 95% confidence interval [CI] -33.13 to -13.98). Results from our quantile regression models provided further evidence for this association. Second, we did not find evidence that ambulances are relatively late to poorer neighborhoods when specifying MART by dispatch priority. Third, we were also unable to identify a positive association between tract-level poverty and MART when we specified our outcomes by three intervention severities. Across each of our 36 models, tract-level poverty was either not significantly associated with MART or was negatively associated with MART by a magnitude smaller than a full minute per estimated 10 percentage point increase in poverty concentration. CONCLUSION: Our study challenges the commonly held assumption that ambulances are later to poor neighborhoods. We scrutinize our findings before cautiously considering their relevance for ambulance response time research and for ongoing conversations on the relationship between neighborhood poverty and prehospital care.

Much of emergency department use is avoidable, and high-quality primary care can reduce it, but performance measures related to ED use may be inadequately risk-adjusted. To explore associations between emergency department (ED) use and neighborhood poverty, we conducted a secondary analysis of Massachusetts managed care network data, 2009-2011. For enrollees with commercial insurance (n = 64,623), we predicted any, total, and total primary-care-sensitive (PCS) ED visits using claims/enrollment (age, sex, race, morbidity, prior ED use), network (payor, primary care provider [PCP] type and quality), and census-tract-level characteristics. Overall, 14.6% had any visit; mean visits per 100 persons were 18.8 (±0.2) total and 7.6 (±0.1) PCS. Neighborhood poverty predicted all three outcomes (all Plt; .001). Holding providers accountable for their patients' ED use should avoid penalizing PCPs who care for poor and otherwise vulnerable populations. Expected use targets should account for neighborhood-level variables such as income, as well as other risk factors.

BACKGROUND: Disparities in health service use have been described across a range of sociodemographic factors. Patterns of PICU use have not been thoroughly assessed. METHODS: This was a population-level, retrospective analysis of admissions to the Cincinnati Children’s Hospital Medical Center PICU between 2011 and 2016. Residential addresses of patients were geocoded and spatially joined to census tracts. Pediatric patients were eligible for inclusion if they resided within Hamilton County, Ohio. PICU admission and bed-day rates were calculated by using numerators of admissions and bed days, respectively, over a denominator of tract child population. Relationships between tract-level PICU use and child poverty were assessed by using Spearman’s ρ and analysis of variance. Analyses were event based; children admitted multiple times were counted as discrete admissions. RESULTS: There were 4071 included admissions involving 3129 unique children contributing a total of 12 297 PICU bed days. Child poverty was positively associated with PICU admission rates (r = 0.59; P < .001) and bed-day rates (r = 0.47; P < .001). When tracts were grouped into quintiles based on child poverty rates, the PICU bed-day rate ranged from 23.4 days per 1000 children in the lowest poverty quintile to 81.9 days in the highest poverty quintile (P < .001). CONCLUSIONS: The association between poverty and poor health outcomes includes pediatric intensive care use. This association exists for children who grow up in poverty and around poverty. Future efforts should characterize the interplay between patient- and neighborhood-level risk factors and explore neighborhood-level interventions to improve child health.

Background To determine if outdoor advertising density for non-alcoholic drinks, food, tobacco products, and alcohol, is associated with neighborhood poverty or other Census-level characteristics in New York City (NYC). Methods From June – July of 2015, photographs were taken of all street-level, stationary outdoor advertising (posters, stickers, decals, etc.) for consumable products in a sample of 953 NYC retail-dense street segments. Density of product images was analyzed by neighborhood poverty level and other characteristics using multivariate negative-binomial regression. Results A total of 16,305 discrete advertisements displaying 50,673 product images were photographed. Total product image prevalence relative to retail density was not significantly higher in high- vs. low-poverty neighborhoods, as hypothesized (OR: 1.31; 95% CI: 0.98, 1.77). However, total product image prevalence was higher in neighborhoods with a higher percentage of Black residents (OR: 1.08; 95% CI: 1.04, 1.12), and for sugary drinks in areas with a higher percentage of adults with Conclusions Product images were abundant throughout NYC’s retail-dense areas, with marginally greater prevalence by some Census-level demographics, irrespective of the content displayed.

Background Inequity in adverse birth outcomes between black and white women in the U.S. is persistent, despite decades of research and prevention efforts. Neighborhood environments are plausibly related to pre-pregnancy health and other risk factors for adverse birth outcomes and may help explain black/white inequities. Despite the fact that neighborhoods change over time, most prior work has relied upon cross-sectional measures of neighborhood economic contexts. Methods We used birth certificates for non-Hispanic black and white women in Texas (2009–2011, N = 470,896) to examine whether longitudinal measures of neighborhood economic context (poverty and income inequality, based on census tract data from 1990 to 2010) were associated with preterm birth, low birthweight and small-for-gestational-age (SGA) with hierarchical generalized linear models. We also tested whether (1) the longitudinal measures explained black/white inequities or (2) moderated the effect of race on the birth outcomes. Finally, we compared the models with longitudinal measures to models with cross-sectional measures of neighborhood economic context. Results Longitudinal measures of neighborhood economic context were associated with all three birth outcomes, but did not explain racial inequities. Except for income inequality and SGA, there was no evidence of moderation by race. Substituting cross-sectional measures of economic context for longitudinal ones resulted in similar findings. Conclusion Policies that either address structural neighborhood-level economic disadvantage or mitigate the effects of such disadvantage are warranted to improve the health of mothers and prevent adverse birth outcomes.

Socioeconomic disadvantage during childhood is associated with a myriad of negative adult outcomes. One mechanism through which disadvantage undermines positive outcomes may be by disrupting the development of self-control. The goal of the present study was to examine pathways from three key indicators of socioeconomic disadvantage – low family income, low maternal education, and neighborhood poverty – to neural and behavioral measures of response inhibition. We utilized data from a representative cohort of 215 twins (ages 7–18 years, 70% male) oversampled for exposure to disadvantage, who participated in the Michigan Twins Neurogenetics Study (MTwiNS), a study within the Michigan State University Twin Registry (MSUTR). Our child-friendly Go/No-Go task activated the bilateral inferior frontal gyrus (IFG), and activation during this task predicted behavioral inhibition performance, extending prior work on adults to youth. Critically, we also found that neighborhood poverty, assessed via geocoding, but not family income or maternal education, was associated with IFG activation, a finding that we replicated in an independent sample of disadvantaged youth. Further, we found that neighborhood poverty predicted response inhibition performance via its effect on IFG activation. These results provide the first mechanistic evidence that disadvantaged contexts may undermine self-control via their effect on the brain. The broader neighborhood, beyond familial contexts, may be critically important for this association, suggesting that contexts beyond the home have profound effects on the developing brain and behaviors critical for future health, wealth, and wellbeing.

This study examines Muslim–non-Muslim disparities in locational attainment. We pool data from the 2004, 2006, and 2008 waves of the Public Health Management Corporation’s Southeastern Pennsylvania Household Survey. These data contain respondents’ religious identities and are geocoded at the census-tract level, allowing us to merge American Community Survey data and examine neighborhood-level outcomes to gauge respondents’ locational attainment. Net of controls, our multivariate analyses reveal that among blacks and nonblacks, Muslims live in neighborhoods that have significantly lower shares of whites and greater representations of blacks. Among blacks, Muslims are significantly less likely than non-Muslims to reside in suburbs. The Muslim disadvantages for blacks and nonblacks in neighborhood poverty and neighborhood median income, however, become insignificant. Our results provide support for the tenets of the spatial assimilation and place stratification models and suggest that Muslim–non-Muslim disparities in locational attainment define a new fault line in residential stratification.

OBJECTIVE: Assess whether neighborhood characteristics predict patient‐reported outcomes for depression. DATA SOURCES: VA electronic medical record data and U.S. census data. STUDY DESIGN: Retrospective longitudinal cohort. DATA EXTRACTION METHODS: Neighborhood and individual characteristics of patients (N = 4,269) with a unipolar depressive disorder diagnosis and an initial Patient Health Questionnaire (PHQ‐9) score ≥10 were used to predict 50 percent improvement in 4‐8‐month PHQ‐9 scores. PRINCIPAL FINDINGS: The proportion of a patient's neighborhood living in poverty (OR = 0.98; 95% CI: 0.97‐.1.00; P = 0.03) was associated with lower likelihood of depression symptom improvement in addition to whether the patient was black (OR = 0.76; 95% CI:0.61‐0.96; P = 0.02) had PTSD (OR = 0.59; 95% CI:0.50‐0.69; P

BACKGROUND Neighborhood poverty has been associated with worse outcomes after live donor kidney transplantation (LDKT), and prior work suggests that women with kidney disease may be more susceptible to the negative influence of poverty than men. As such, our goal was to examine whether poverty differentially affects women in influencing LDKT outcomes. METHODS Using data from the Scientific Registry of Transplant Recipients and US Census, we performed multivariable Cox regression to compare outcomes among 18 955 women and 30 887 men who received a first LDKT in 2005-2014 with follow-up through December 31, 2016. RESULTS Women living in poor (adjusted hazard ratio [aHR], 1.30; 95% confidence interval [CI], 1.13-1.50) and middle-income (aHR, 1.26; 95% CI, 1.14-1.40) neighborhoods had higher risk of graft loss than men, but there were no differences in wealthy areas (aHR, 1.07; 95% CI, 0.88-1.29). Women living in wealthy (aHR, 0.71; 95% CI, 0.59-0.87) and middle-income (aHR, 0.82; 95% CI, 0.74-0.92) neighborhoods incurred a survival advantage over men, but there were no statistically significant differences in mortality in poor areas (aHR, 0.85; 95% CI, 0.72-1.01). CONCLUSIONS Given our findings that poverty is more strongly associated with graft loss in women, targeted efforts are needed to specifically address mechanisms driving these disparities in LDKT outcomes.

Purpose: The purpose of this article was to assess segregation’s role on race differences in hypertension among non-Hispanic Blacks and Whites aged 50 and over. Method: Hypertension was defined as systolic blood pressure (BP) ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or self-reported antihypertensive medication use. Segregation measures combined race, neighborhood racial composition, and individual and neighborhood poverty level. Logistic models produced odds ratios and 95% confidence intervals (CIs) for each segregation category, adjusting for health-related factors. Results: Blacks in Black (OR = 2.54, CI = [1.61, 4.00]), White (OR = 2.56, CI = [1.24, 5.31]), and integrated neighborhoods (OR = 3.23, CI = [1.72, 6.03]) had greater odds of hypertension compared with Whites in White neighborhoods. Poor Whites in poor neighborhoods (OR = 1.74, CI = [1.09, 2.76]), nonpoor Blacks in nonpoor (OR = 3.03, CI = [1.79, 5.12]) and poor neighborhoods (OR = 4.08, CI = [2.16, 7.70]), and poor Blacks in nonpoor (OR = 4.35, CI = [2.17, 8.73]) and poor neighborhoods (OR = 2.75, CI = [1.74, 4.36]) had greater odds compared with nonpoor Whites in nonpoor neighborhoods. Conclusion: Interventions targeting hypertension among older adults should consider neighborhood compositions.

Despite the knowledge that children in low-income neighborhoods are particularly vulnerable to asthma, few studies of child asthma focus on variation among low-income neighborhoods. We examined the relationship between child asthma and features associated with neighborhood poverty including safety, social cohesion, informal social control, collective efficacy, and disorder, across a sample of children from low-income neighborhoods (N = 3010; 2005-2007). Results show that the relationship between asthma and poverty is accounted for by family-level characteristics, but informal social control remains significantly and positively related to asthma after accounting for family-level characteristics. We discuss the importance of neighborhood environmental features for children's asthma.

This study examines how changes in the social and economic structure of neighborhoods relate to changes in child maltreatment report rates over an extended period. The panel study design allows us to partition the changes in child maltreatment report rates into a portion associated with how the levels of socio-economic risk factors have changed over time, and a portion related to how the relative importance of those factors in explaining maltreatment report rates has changed over time. Through the application of fixed effects panel models, the analysis is also able to control for unmeasured time-invariant characteristics of neighborhoods that may be a source of bias in cross-sectional studies. The study finds that increases in vacant housing, single parent families and unemployment rates are strongly associated with increases in child maltreatment report rates. Changes in racial/ethnic composition did not produce changes in maltreatment report rates except when they reached extreme levels of segregation. Although poverty rates were predictive of cross-sectional variation in child maltreatment, increases in neighborhood poverty became less associated with increases in child maltreatment report rates over time.

One in four Americans lives in a poor neighborhood – defined by a poverty rate of 20% or higher. The effects of neighborhood poverty on children's health and development depend on the timing and duration of the exposure. Focusing on children born in poor families, we examined the timing and persistence of their exposure to neighborhood poverty from birth to age 17. We also examined family characteristics associated with exposure to neighborhood poverty. Study data are from a national cohort of 634 children born in poor families in the Panel Study of Income Dynamics. Neighborhood poverty was defined by census tract using residential addresses reported in annual/biennial interviews. Approximately half of the children lived in a poor neighborhood at any age. More than a third lived in a poor neighborhood both at birth and in their last follow-up in adolescence, spending most of their childhood and adolescence in such neighborhoods. Many family demographic and socioeconomic characteristics were significantly associated with entering and exiting poor neighborhoods, but only non-white head of household, being born in a poor neighborhood, and parents' tenure in poor neighborhoods before the child's birth were significantly positively associated with cumulative exposure to poor neighborhoods (in years). Among children born in poor families, exposure to neighborhood poverty is persistent throughout childhood and adolescence. Children from non-white families and families with a history living in poor neighborhoods are disproportionately exposed to poor neighborhoods. Policies are needed to address structural conditions such as neighborhood racial and income segregation to reduce prolonged exposure to neighborhood poverty among children born into poverty.

Ambient air pollution is a well-known risk factor of various asthma-related outcomes, however, past research has often focused on acute exacerbations rather than asthma development. This study draws on a population-based, multigenerational panel dataset from the United States to assess the association of childhood asthma risk with census block-level, annual-average air pollution exposure measured during the prenatal and early postnatal periods, as well as effect modification by neighborhood poverty. Findings suggest that early-life exposures to nitrogen dioxide (NO2), a marker of traffic-related pollution, and fine particulate matter (PM2.5), a mixture of industrial and other pollutants, are positively associated with subsequent childhood asthma diagnosis (OR = 1.25, 95% CI = 1.10&ndash, 1.41 and OR = 1.25, 95% CI = 1.06&ndash, 1.46, respectively, per interquartile range (IQR) increase in each pollutant (NO2 IQR = 8.51 ppb and PM2.5 IQR = 4.43 &micro, /m3)). These effects are modified by early-life neighborhood poverty exposure, with no or weaker effects in moderate- and low- (versus high-) poverty areas. This work underscores the importance of a holistic, developmental approach to elucidating the interplay of social and environmental contexts that may create conditions for racial-ethnic and socioeconomic disparities in childhood asthma risk.

We examined cross-sectional and longitudinal associations between neighborhood socioeconomic status, social cohesion and safety and features of the diurnal cortisol curve including: area under the curve (AUC), wake-to-bed slope, wake-up, cortisol awakening response (CAR, wake-up to 30 minutes post-awakening), early decline (30 minutes to 2 hours post-awakening) and late decline (2 hours post-awakening to bed time). In cross-sectional analyses, higher neighborhood poverty was associated with a flatter early decline and a flatter wake-to-bed slope. Higher social cohesion and safety were associated with higher wake-up cortisol, steeper early decline and steeper wake-to-bed slope. Over 5 years, wake-up cortisol increased, CAR, early decline, late decline and wake-to-bed slope became flatter and AUC became larger. Higher poverty was associated with less pronounced increases in wake-up and AUC, while higher social cohesion was associated with greater increases in wake-up and AUC. Adverse neighborhood environments were cross-sectionally associated with flatter cortisol profiles, but associations with changes in cortisol were weak and not in the expected direction.

Background African-American adults experience the highest rates of elevated blood pressure (BP), and this disparity may be linked to socioeconomic and neighborhood-related disadvantage. Based on a bioecological stress-buffering framework, relations of poverty and neighborhood environmental perceptions with BP were assessed using multilevel regression in at-risk African-American adults. Methods This cross-sectional study used baseline data that were collected in 2008 as part of the Positive Action for Today's Health (PATH) trial (N = 409), a community-based intervention to increase walking in low-income, high-crime neighborhoods. BP and perceived neighborhood crime and satisfaction were investigated as individual-level indicators of health and neighborhood environment. Census block groups (N = 22) served as geographic proxies for neighborhoods, and poverty was obtained using 2010 U.S. Census data, to characterize the neighborhood-level socioeconomic environment. Results There were no individual-level direct associations. Significant cross-product interactions demonstrated that with higher perceived crime, high satisfaction was associated with lower systolic (γ = 3.34) and diastolic (γ = -1.37) BP, but low satisfaction was associated with higher systolic (γ = 15.12) and diastolic (γ = 7.57) BP. Neighborhood-level poverty was associated with diastolic (γ = 11.48, SE = 4.08, P = 0.008) and systolic BP (γ = 12.79, SE = 6.33, P = 0.052). Variance in BP across block groups was low (intraclass correlation coefficients = 0.002-0.014) and there were no significant random effects. Conclusions Results supported hypotheses, with greater neighborhood satisfaction linked to lower systolic and diastolic BP when perceived crime was high. Neighborhood poverty was also linked to higher systolic and diastolic BP. Prevention efforts should further investigate whether attending to issues of poverty and related neighborhood perceptions reduces high BP in at-risk African-American communities.

Several studies have recognized the health disadvantage of residents in socioeconomically deprived neighborhoods, independent of the influence of individual socioeconomic conditions. The effect of neighborhood socioeconomic deprivation on general mortality has appeared heterogeneous among the cities analyzed: the underlying mechanisms have been less empirically explored, and explanations for this heterogeneous health effect remain unclear. The present study aimed to: (1) analyze the distribution of socioeconomically disadvantaged persons in neighborhoods of 4 European cities—Turin, Barcelona, Stockholm and Helsinki—trying to measure segregation of residents according to their socioeconomic conditions. Two measuring approaches were used, respectively, through dissimilarity index and clustering estimated from Bayesian models. (2) Analyze the distribution of mortality in the above mentioned cities, trying to disentangle the independent effects of both neighborhood socioeconomic deprivation and neighborhood segregation of residents according to their socioeconomic conditions, using multilevel models. A significantly higher risk of death was observed among residents in more deprived neighborhoods in all 4 cities considered, slightly heterogeneous across them. Poverty segregation appeared to be slightly associated with increasing mortality in Turin and, among females and only according to dissimilarity, in Barcelona. Few studies have explored the health effects of social clustering, and results could inform urban policy design with regard to social mix.

The objective of the study was to examine the independent effects of neighborhood poverty and psychosocial stress on increases in central adiposity over time. Data are from a community sample of 157 Non-Hispanic Black, Non-Hispanic White, and Hispanic adults collected in 2002–2003 and 2007–2008, and from the 2000 Decennial Census. The dependent variable was waist circumference. Independent variables included neighborhood poverty, perceived neighborhood physical environment, family stress, safety stress, everyday unfair treatment, and a cumulative stress index. Weighted 3-level hierarchical linear regression models for a continuous outcome were used to assess the effects of neighborhood poverty and psychosocial stress on central adiposity over time. We also assessed whether psychosocial stress mediated the association between neighborhood poverty and central adiposity. Neighborhood poverty and everyday unfair treatment at baseline were independently associated with increases in central adiposity over time, accounting for the other indicators of stress. Perceptions of the neighborhood physical environment and cumulative stress mediated associations between neighborhood poverty and central adiposity. Results suggest that residing in neighborhoods with higher concentrations of poverty and exposure to everyday unfair treatment independently heighten risk of increased central adiposity over time. Associations between neighborhood poverty and central adiposity were mediated by perceptions of the neighborhood physical environment and by the cumulative stress index. Public health strategies to reduce obesity should consider neighborhood poverty and exposure to multiple sources of psychosocial stress, including everyday unfair treatment.

Neighborhoods (and people) are not static, and are instead shaped by dynamic long-term processes of change (and mobility). Using the Geographic Research on Wellbeing survey, a population-based sample of 2,339 Californian mothers, we characterize then investigate how long-term latent neighborhood poverty trajectories predict the likelihood of obesity, taking into account short-term individual residential mobility. We find that, net of individual and neighborhood-level controls, living in or moving to tracts that experienced long-term low poverty was associated with lower odds of being obese relative to living in tracts characterized by long-term high poverty.

Consuming less sodium and more potassium are components of a healthy diet and reduced cardiovascular disease risk. Racial/ethnic segregation and poverty are both associated with dietary habits, but data linking dietary intake to neighborhood characteristics are limited, particularly in Hispanic and Asian American ethnic enclaves. This study presents relationships between neighborhood-level segregation, poverty and biologic indicators of sodium and potassium consumption. Data were from the 2010 Heart Follow-Up Study, a cross-sectional health survey, which included 24-h urine collections and self-reported health status (n = 1656). Black, Hispanic, and Asian segregated areas and neighborhood poverty were defined for aggregated zip-code areas. Multivariable models assessed the association between neighborhood segregation and poverty and sodium and potassium intake, after adjustment for individual-level covariates. In unadjusted models, potassium intake (a marker of fruit and vegetable consumption) was lower in high-versus low-Hispanic segregated neighborhoods, and the sodium-potassium ratio was higher in high-versus low black and Hispanic segregated neighborhoods, and in high-versus low-poverty neighborhoods; the sodium-potassium ratio was lower in high-versus low Asian segregated neighborhoods. Segregation and poverty were not independently associated with nutrition biomarkers after adjustment for demographics and for each other; however, practical consideration of neighborhood race/ethnic composition may be useful to understand differences in consumption.

BACKGROUND Little is known about the influence of Montessori methods on children's physical activity (PA). This cross-sectional study compared PA of children attending Montessori and traditional preschools. METHODS We enrolled 301 children in 9 Montessori and 8 traditional preschools in Columbia, South Carolina. PA was measured by accelerometry on weekdays during preschool (In-School), non-school (Non-School), and all day (All Day). Minutes/hour of light, moderate-to-vigorous (MVPA), and total PA (light + MVPA) were calculated. RESULTS Children attending Montessori preschools accumulated more In-School light (7.7 vs. 6.5 minute/hour), MVPA (7.7 versus 6.5 minute/hour), and total PA (15.4 versus 13.0 minute/hour) than children attending traditional preschools, after adjusting for sex, race/ethnicity, body mass index, parent education and neighborhood poverty index. For Non-School (8.5 versus 6.2 minute/hour) and All Day (8.5 versus 7.6 minute/hour), children in Montessori preschools accumulated more MVPA than children in traditional preschools. In-School PA was higher for children in private Montessori than public Montessori preschools (8.1 versus 7.0 minute/hour; 8.1 versus 6.7 minute/hour; 16.1 versus 13.6 minute/hour, for light, MVPA, and total PA, respectively). CONCLUSIONS Children attending Montessori preschools were more active than children attending traditional preschools. Adopting the Montessori system may be an important strategy for promoting PA in children.

Background: Receipt of nephrology care prior to end-stage renal disease (ESRD) is a strong predictor of decreased mortality and morbidity, and neighborhood poverty may influence access to care. Our objective was to examine whether neighborhood poverty is associated with lack of pre-ESRD care at dialysis facilities. Methods: In a multi-level ecological study using geospatially linked 2007-2010 Dialysis Facility Report and 2006-2010 American Community Survey data, we examined whether high neighborhood poverty (≥20% of households in census tract living below poverty) was associated with dialysis facility-level lack of pre-ESRD care (percentage of patients with no nephrology care prior to dialysis start) in mixed-effects models, adjusting for facility and neighborhood confounders and allowing for neighborhood and regional random effects. Results: Among the 5,184 facilities examined, 1,778 (34.3%) were located in a high-poverty area. Lack of pre-ESRD care was similar in poverty areas (30.8%) and other neighborhoods (29.6%). With adjustment, the absolute increase in percentage of patients at a facility with no pre-ESRD care associated with facility location in a poverty area versus other neighborhood was only 0.08% (95% CI -1.32, 1.47; p = 0.9). Potential effect modification by race and income inequality was detected. Conclusion: Despite previously reported detrimental effects of neighborhood poverty on health, facility neighborhood poverty was not associated with receipt of pre-ESRD care, suggesting no need to target interventions to increase access to pre-ESRD care at facilities in poorer geographic areas.

Purpose To estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood. Methods Longitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health) were analyzed. The primary exposure was living in a high versus medium/low poverty neighborhood during Wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past twelve months at Wave III. Covariates included sociodemographic, behavioral, and mental health-related factors. Inverse probability weighted marginal structural models were used to estimate neighborhood poverty-based differences in HIV/STI prevalence. Results 8,232 Add Health participants comprised the analytic sample. Of these, 16% and 84% resided in high- and medium/low-poverty neighborhoods, respectively. Eleven percent currently had an STI or HIV/STI diagnosis within the prior 12 months. Accounting for measured potential sources of confounding and selection bias, the HIV/STI prevalence difference [95% confidence limits] for those who grew up in high versus medium/low-poverty neighborhoods was 0.015 [-0.015, 0.045]. Conclusions Strong evidence for neighborhood poverty-based differences in HIV/STI prevalence was not observed. Researchers should continue to investigate the effect of neighborhood-level socioeconomic position measures and, if warranted, identify etiologically relevant exposure periods. Topics Infectious Disease, Social Epidemiology, Disparities

Residential segregation is associated with poor health-including poor birth outcomes-among African Americans in US cities and metropolitan areas. However, the few existing studies of this relationship among Mexican-origin women have produced mixed results. In this study, the relationship between segregation and very preterm birth was examined with National Center for Health Statistics (NCHS) data on singleton births to African American women (n = 400,718) in 238 metropolitan areas and to Mexican-origin women (n = 552,382) in 170 metropolitan areas. The study evaluated 1) whether residential segregation is positively associated with very preterm birth among both African American and Mexican-origin women and 2) if so, whether exposure to neighborhood poverty accounts for these associations. Results from multi-level analysis indicate that residential segregation is positively associated with very preterm birth among both groups of women. However, this association is robust across different measures of segregation only for African Americans. Conversely, differences across metropolitan areas in average levels of exposure to neighborhood poverty account for the positive association between segregation and very preterm birth among Mexican-origin women, but not among African American women.

Theory suggests that the impact of neighborhood poverty depends on both the duration and timing of exposure. Previous research, however, has not properly analyzed the sequence of neighborhoods to which children are exposed throughout the early life course. This study investigates the effects of different longitudinal patterns of exposure to disadvantaged neighborhoods on the risk of adolescent parenthood. It follows a cohort of children in the PSID from age 4 to 19 and uses novel methods for time-varying exposures that overcome critical limitations of conventional regression when selection processes are dynamic. Results indicate that sustained exposure to poor neighborhoods substantially increases the risk of becoming a teen parent and that exposure to neighborhood poverty during adolescence may be more consequential than exposure earlier during childhood.

Using survey data from participants in a public housing relocation program in Atlanta, Georgia, we examine post-relocation changes in healthcare access (having a usual source of care, having an unmet need) and utilization (receiving a medical exam). Although participants moved to safer, less impoverished neighborhoods, some participants experienced improvements in access and utilization whereas others experienced declines. The supply of healthcare providers in the new neighborhood and having health insurance were associated with improvements in access for this population. Future relocation efforts may seek to assist individuals with choosing a new neighborhood that has accessible healthcare resources for low-income populations.

Background: Poverty is associated with increased risk of chronic illness, but its contribution to bloodstream infections is not well-defined. Methods: We performed a multicenter observational study of 14,657 patients, aged 18 yrs or older, who received critical care and had blood cultures drawn between 1997 and 2007 in two hospitals in Boston, Massachusetts. Data sources included 1990 U.s. Census and hospital administrative data. Census tracts were used as the geographic units of analysis. The exposure of interest was neigh- borhood poverty rate categorized as 40%. Neighborhood poverty rate is the percentage of residents with income below the federal poverty line. The primary end point was bloodstream infection occurring 48 hrs before critical care initiation to 48 hrs after. Associations between neighborhood poverty rate and bloodstream infection were estimated by logistic regression models. Adjusted odds ratios were estimated by multi- variable logistic regression models. Results: Two thousand four-hundred thirty-five patients had bloodstream infections. Neighborhood poverty rate was a strong predictor of risk of bloodstream infection, with a significant risk gradient across neighborhood poverty rate quintiles. After multi- variable analysis, neighborhood poverty rate in the highest quin- tiles (20%-40% and >40%) were associated with a 26% and 49% increase in bloodstream infection risk, respectively, relative to pa- tients with neighborhood poverty rate of

Poverty is associated with increased risk of chronic illness but its contribution to critical care outcome is not well defined.We performed a multicenter observational study of 38,917 patients, aged ≥ 18 years, who received critical care between 1997 and 2007. The patients were treated in two academic medical centers in Boston, Massachusetts. Data sources included 1990 US census and hospital administrative data. The exposure of interest was neighborhood poverty rate, categorized as5%, 5% to 10%, 10% to 20%, 20% to 40% and40%. Neighborhood poverty rate is the percentage of residents below the federal poverty line. Census tracts were used as the geographic units of analysis. Logistic regression examined death by days 30, 90, and 365 post-critical care initiation and in-hospital mortality. Adjusted ORs were estimated by multivariable logistic regression models. Sensitivity analysis was performed for 1-year postdischarge mortality among patients discharged to home.Following multivariable adjustment, neighborhood poverty rate was not associated with all-cause 30-day mortality: 5% to 10% OR, 1.05 (95% CI, 0.98-1.14; P = .2); 10% to 20% OR, 0.96 (95% CI, 0.87-1.06; P = .5); 20% to 40% OR, 1.08 (95% CI, 0.96-1.22; P = .2);40% OR, 1.20 (95% CI, 0.90-1.60; P = .2); referent in each is5%. Similar nonsignificant associations were noted at 90-day and 365-day mortality post-critical care initiation and in-hospital mortality. Among patients discharged to home, neighborhood poverty rate was not associated with 1-year-postdischarge mortality.Our study suggests that there is no relationship between the neighborhood poverty rate and mortality up to 1 year following critical care at academic medical centers.

BACKGROUND. Prior work has demonstrated how neighborhood poverty and racial composition impact racial disparities in access to the deceased donor kidney transplant waitlist, both nationally and regionally. We examined the association between neighborhood characteristics and racial disparities in time to transplant waitlist in Chicago, a diverse city with continued neighborhood segregation. METHODS. Using data from the United States Renal Data System (USRDS) and the US Census, we investigated time from dialysis initiation to kidney transplant waitlisting for African American and white patients in Chicago using cause-specific proportional hazards analyses, adjusting for individual socio-demographic and clinical characteristics, as well as neighborhood poverty and racial composition. RESULTS. In Chicago, African Americans are significantly less likely than whites to appear on the renal transplant waitlist (HR 0.73, p

This study explores mediating medical risk factors in the association between racial residential segregation (i.e., racial 'black' isolation) and low birthweight in New York City, adjusting for maternal and infant risk factors and neighborhood poverty. This race-specific cross-sectional multilevel study found that as racial isolation increased in neighborhoods, the odds of having a low birthweight infant also increased for African-American and White women living in these areas. Medical conditions that mediated the racial isolation and low birthweight relationship included chronic hypertension and pregnancy-related hypertension for African-American women and chronic hypertension and lung disease for White women. Although this study was limited by the quality of the birth certificate data, it does provide exploratory pathways by which medical risks and their sequelae are linked to neighborhood environments and reproductive vulnerability.

The cultural backgrounds and experiences of Mexican-origin mothers and fathers (including their Anglo and Mexican cultural orientations and their familism values) and their socioeconomic background (parental education, family income, neighborhood poverty rate) are linked to the nature of their involvement in adolescent peer relationships.

Limitations of extant research on neighborhood disadvantage and health include general reliance on point-in-time neighborhood measures and sensitivity to residential self-selection. Using data from the US Census and the 1995-2008 National Longitudinal Study of Adolescent to Adult Health, we applied conventional methods and coarsened exact matching to assess how cardiometabolic health varies among those entering, exiting, or remaining in poor and nonpoor neighborhoods. Within the full sample (n = 11,767), we found significantly higher systolic and diastolic blood pressures among those who entered or consistently lived in poor neighborhoods relative to those who never lived in poor neighborhoods. Obesity was similarly more common among those who originated from poor neighborhoods than among those who originated from nonpoor neighborhoods. Having exited poor neighborhoods was associated with lower systolic blood pressure than was consistent residence in low-income communities. Among the matched sample (n = 9,727), results adjusted for confounders and residential self-selection revealed fewer significant contrasts. Compared with peers who had no neighborhood poverty exposure, those who consistently lived in poor neighborhoods had 46% and 52% higher odds of being obese or hypertensive, respectively. Those who exited neighborhood poverty had significantly higher diastolic blood pressures than those who had never lived in poor neighborhoods. These findings underscore the importance of past as well as current residential circumstances for cardiometabolic health.

© 2016 Elsevier Ltd. Studies of housing mobility and neighborhood effects on health often treat neighborhoods as if they were isolated islands. This paper argues that conceptualizing neighborhoods as part of the wider spatial context within which they are embedded may be key in advancing our understanding of the role of local context in the life of urban dwellers. Analyses are based on mental health and neighborhood context measurements taken on over 3000 low-income families who participated in the Moving to Opportunity for Fair Housing Demonstration Program (MTO), a large field experiment in five major U.S. cities. Results from analyses of two survey waves combined with Census data at different geographic scales indicate that assignment to MTO's experimental condition of neighborhood poverty

CONTEXT Prior research suggests that mammography declined from 2000 to 2005 and that socioeconomic disparities remained wide. OBJECTIVE To assess national trends and disparities in mammography among commercially insured women from 2001 to 2010. DESIGN, SETTING, PARTICIPANTS This study used a longitudinal time series design to examine mammography rates among 5.4 million US women aged 40 to 64 years from 2001 to 2010. Adjusted annual rates stratified by age group (40-49 years/50-64 years) and neighborhood-level socioeconomic characteristics including poverty and race/ethnicity were plotted. Mammography disparities were defined as the absolute percentage difference in adjusted screening rates between population subgroups in a given year. Trends in 2001-2010 screening rates and socioeconomic disparities were fitted as annual percentage changes (APCs) using join point analysis, which can determine changes in trends. MAIN OUTCOME MEASURE Annual and biennial mammogram. RESULTS Adjusted annual mammography rates among women aged 40 to 49 years increased from 38.5% to 45.5% (0.78% APC, P < .001) over the decade. Among women aged 50 to 64 years, 2001-2004 rates decreased from 49.7% to 47.4% (-0.78% APC, P = .035) and then increased to 51.8% by 2010 (APC of 0.80%, P < .001). Women aged 40 to 49 years had an unchanged high-low neighborhood poverty screening disparity of 11.0% over the decade (APC -0.05%, P = .508). The estimated white-black disparity decreased from 9.6% to 7.7% from 2001 to 2010 (-0.21% APC, P = .042). The white-Hispanic disparity decreased from 9.6% to 6.2% between 2001 and 2003 (APC -1.69%, P = .143) and then to 5.3% by 2010 (APC -0.14%, P = .343). Among women aged 50 to 64 years, estimated high-low poverty and white-black disparities declined (11.0%-9.5% [-0.16% APC, P = .026] and 8.6%-6.3% [-0.26% APC, P = .008], respectively) while the white-Hispanic disparity decreased from 14.9% to 5.4% between 2001 and 2003 (-4.77% APC, P = .023) and was 6.5% by 2010. CONCLUSIONS Mammography increased among women aged 40 to 49 years from 2001 to 2010 and after 2004 among women aged 50 to 64 years. Women from black and Hispanic neighborhoods experienced reduced disparities, but disparities by poverty level changed little.