Neurocognitive and physical functioning in the Seveso Women's Health Study.

2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is neurotoxic in animals but few studies have investigated its effects on the human brain. Related dioxin-like compounds have been linked to poorer cognitive and motor function in older adults, with effects more pronounced in women, perhaps due to the loss of neuro-protective estrogen in menopause. On 10 July 1976, a chemical explosion in Seveso, Italy, resulted in one of the highest known residential exposures to TCDD. In 1996, we initiated the Seveso Women's Health Study, a retrospective cohort study of the health of the women who were newborn to 40 years old in 1976. Here, we investigate whether TCDD exposure is associated with physical functioning and working memory more than 20 years later. Individual TCDD concentration (ppt) was measured in archived serum collected soon after the explosion. In 1996 and 2008, we measured physical functioning (n=154) and working memory (n=459), respectively. We examined associations between serum TCDD and motor and cognitive outcomes with multivariate linear regression and semi-parametric estimators. A 10-fold increase in serum TCDD was not associated with walking speed (adjusted ß=0.0006ft/s, 95% Confidence Interval (CI): -0.13, 0.13), upper body mobility (adjusted ß=-0.06, 95% CI: -0.36, 0.23), or manual dexterity (adjusted ß=0.34, 95% CI: -0.65, 1.33). We observed an inverted U-shaped association in grip strength, with poorer strength in the lowest and highest TCDD exposure levels. There was no association between TCDD and the Wechsler digit and spatial span tests. Neither menopause status at assessment nor developmental timing of exposure modified associations between TCDD and working memory. Our findings, in one of the only studies of TCDD's effects on neuropsychological and physical functioning in women, do not indicate an adverse effect on these domains, with the exception of a U-shaped relationship with grip strength. Given the limited assessment and relative youth of the women at this follow-up, future work examining additional neuropsychological outcomes is warranted.

Recent declines in cancer incidence: related to the Great Recession?

PURPOSE: In recent years, cancer case counts in the U.S. underwent a large, rapid decline-an unexpected change given population growth for older persons at highest cancer risk. As these declines coincided with the Great Recession, we examined whether they were related to economic conditions. METHODS: Using California Cancer Registry data from California's 30 most populous counties, we analyzed trends in cancer incidence during pre-recession (1996-2007) and recession/recovery (2008-2012) periods for all cancers combined and the ten most common sites. We evaluated the recession's association with rates using a multifactorial index that measured recession impact, and modeled associations between case counts and county-level unemployment rates using Poisson regression. RESULTS: Yearly cancer incidence rate declines were greater during the recession/recovery (3.3% among males, 1.4% among females) than before (0.7 and 0.5%, respectively), particularly for prostate, lung, and colorectal cancers. Lower case counts, especially for prostate and liver cancer among males and breast cancer, melanoma, and ovarian cancer among females, were associated with higher unemployment rates, irrespective of time period, but independent of secular effects. The associations for melanoma translated up to a 3.6% decrease in cases with each 1% increase in unemployment. Incidence declines were not greater in counties with higher recession impact index. CONCLUSIONS: Although recent declines in incidence of certain cancers are not differentially impacted by economic conditions related to the Great Recession relative to pre-recession conditions, the large recent absolute declines in the case counts of some cancer may be attributable to the large declines in unemployment in the recessionary period. This may occur through decreased engagement in preventive health behaviors, particularly for clinically less urgent cancers. Continued monitoring of trends is important to detect any rises in incidence rates as deferred diagnoses come to clinical attention.

The impact of neighborhood social and built environment factors across the cancer continuum: Current research, methodological considerations, and future directions.

Neighborhood social and built environments have been recognized as important contexts in which health is shaped. The authors reviewed the extent to which these neighborhood factors have been addressed in population-level cancer research by scanning the literature for research focused on specific social and/or built environment characteristics and their association with outcomes across the cancer continuum, including incidence, diagnosis, treatment, survivorship, and survival. The commonalities and differences in methodologies across studies, the current challenges in research methodology, and future directions in this research also were addressed. The assessment of social and built environment factors in relation to cancer is a relatively new field, with 82% of the 34 reviewed articles published since 2010. Across the wide range of social and built environment exposures and cancer outcomes considered by the studies, numerous associations were reported. However, the directions and magnitudes of associations varied, in large part because of the variation in cancer sites and outcomes studied, but also likely because of differences in study populations, geographic regions, and, importantly, choice of neighborhood measures and geographic scales. The authors recommend that future studies consider the life-course implications of cancer incidence and survival, integrate secondary and self-report data, consider work neighborhood environments, and further develop analytical and statistical approaches appropriate to the geospatial and multilevel nature of the data. Incorporating social and built environment factors into research on cancer etiology and outcomes can provide insights into disease processes, identify vulnerable populations, and generate results with translational impact of relevance for interventionists and policy makers.

Neighborhood characteristics and depressive symptoms in an older population.

OBJECTIVES: We explored relationships between depressive symptoms and neighborhood environment measures including traffic safety, crime, social capital, and density of businesses in community-dwelling older adults from four different regions of the United States. METHOD: The Healthy Aging Research Network walking study is a cross-sectional study of 884 adults aged 65+, which included a 10-item Center for Epidemiologic Studies Depression scale of depressive symptoms, demographics, self-reported neighborhood perceptions, and objective neighborhood data. RESULTS: After adjusting for individual covariates, reports of neighborhood crime, unsafe traffic, and unwillingness of neighbors to help each other were significantly positively associated with depressive symptoms among participants. CONCLUSION: This research suggests an association between self-reported depressive symptoms and the social and built environment; examining causal association requires additional longitudinal research in diverse populations of older adults.

Environments for healthy aging: linking prevention research and public health practice.

Safe and well-designed community environments support healthful behaviors that help prevent chronic conditions and unintentional injuries and enable older adults to be active and engaged in community life for as long as possible. We describe the work of the Healthy Aging Research Network (HAN) and partners over the past decade to better understand place-based determinants of health and translate that knowledge to real-world practice, with a focus on environmental strategies. Using key components of the Knowledge to Action framework, we document the importance of a sustained, multidisciplinary, collaborative approach and ongoing interaction between researchers and communities. We share examples of practical tools and strategies designed to engage and support critical sectors with the potential to enhance the health and well-being of older adults and their communities. We conclude with a description of lessons learned in facilitating the translation of prevention research into practice.

Mobility and aging: new directions for public health action.

Optimal mobility, defined as relative ease and freedom of movement in all of its forms, is central to healthy aging. Mobility is a significant consideration for research, practice, and policy in aging and public health. We examined the public health burdens of mobility disability, with a particular focus on leading public health interventions to enhance walking and driving, and the challenges and opportunities for public health action. We propose an integrated mobility agenda, which draws on the lived experience of older adults. New strategies for research, practice, and policy are needed to move beyond categorical promotion programs in walking and driving to establish a comprehensive program to enhance safe mobility in all its forms.

Local health department leadership strategies for healthy built environments.

CONTEXT: The built environment is an important but less-recognized health determinant, and local health departments need expanded guidance to address it. In such situations, leadership is particularly relevant. OBJECTIVE: To assess whether and how local public and environmental health leaders increase their departments' health-promoting impact on built environment design, and what pitfalls they should avoid. DESIGN: Mixed-methods employing cross-sectional surveys and a comparative case study. SETTING: Local public and environmental health departments. PARTICIPANTS SURVEY: A total of 159 (89%) health officers, health directors, and environmental health directors from all 62 local jurisdictions in California. Case-Study: Three departments, 12 cases, 36 health and land-use professionals, and 30 key informants. MAIN OUTCOME MEASURES: The study measured the influence of leadership practices on health departments' built environment-related collaborations, land use activities, policy developments, and contributions to physical changes. Quantitative multivariate linear and logistic regression were used. Case-study content analysis and pattern-matching, which related strong and weak leadership practices to outcomes, were also employed. RESULTS: Departments having highly innovative leaders with positive attitudes had greater odds of achieving physical changes to the built environment (OR: 4.5, 3.4, respectively). Leadership that most prepared their departments for built environment work (by updating staffing, structure, and strategy) tripled interagency and cross-sector collaboration (OR: 3.4). Leadership of successful departments consistently (1) established and managed a healthy built environment vision, (2) cultivated innovation, (3) supported, empowered and protected staff, (4) directly engaged in land use and transportation processes, (5) established direct contacts with directors in other departments, and (6) leveraged their professional reputation. Inconsistency in these practices was twice as common among failure as success cases (80%, 43%). CONCLUSIONS: Local health leadership underlies public and environmental health departments' community design efforts and should receive technical support and targeted resources to do so effectively.

The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations.

Research on neighborhoods and health has been growing. However, studies have not investigated the association of specific neighborhood measures, including socioeconomic and built environments, with cancer incidence or outcomes. We developed the California Neighborhoods Data System (CNDS), an integrated system of small area-level measures of socioeconomic and built environments for California, which can be readily linked to individual-level geocoded records. The CNDS includes measures such as socioeconomic status, population density, racial residential segregation, ethnic enclaves, distance to hospitals, walkable destinations, and street connectivity. Linking the CNDS to geocoded cancer patient information from the California Cancer Registry, we demonstrate the variability of CNDS measures by neighborhood socioeconomic status and predominant race/ethnicity for the 7,049 California census tracts, as well as by patient race/ethnicity. The CNDS represents an efficient and cost-effective resource for cancer epidemiology and control. It expands our ability to understand the role of neighborhoods with regard to cancer incidence and outcomes. Used in conjunction with cancer registry data, these additional contextual measures enable the type of transdisciplinary, "cells-to-society" research that is now being recognized as necessary for addressing population disparities in cancer incidence and outcomes.

Environmental and policy change to support healthy aging.

Given the growing evidence of the influence of the environment on older adult health, the need to design and implement effective environmental policy around healthy and vital aging is urgent. This article describes issues amenable to improvement through policy change, evidence supporting specific policy approaches and outcomes, and promising strategies for implementing those approaches. Key areas of focus are neighborhood design and safety, housing, transportation, and mobility. Strategies to build capacity for policy change are also addressed. Our goals are to foster greater attention to environmental change in support of healthy aging and to illuminate directions for policy change.

To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health.

Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of residents in the same neighborhood may be correlated, thus violating independence assumptions made by traditional regression procedures. This violation is particularly relevant to estimates of the variability of estimates. Though the literature appears to favor the mixed-model approach, little theoretical guidance has been offered to justify this choice. In this paper, we review the assumptions behind the estimates and inference provided by these 2 approaches. We propose a perspective that treats regression models for what they are in most circumstances: reasonable approximations of some true underlying relationship. We argue in general that mixed models involve unverifiable assumptions on the data-generating distribution, which lead to potentially misleading estimates and biased inference. We conclude that the estimation-equation approach of population average models provides a more useful approximation of the truth.

Hypertension is an independent predictor of survival disparity between African-American and white breast cancer patients.

The objective of this study was to determine whether comorbidity, or pre-existing conditions, can account for some of the disparity in survival between African-American and white breast cancer patients. A historical cohort study was conducted of 416 African-American and 838 white women diagnosed with breast cancer between 1973 and 1986, and followed through 1999 in the Kaiser Permanente Northern California Medical Care Program. Information on comorbidity, tumor characteristics and breast cancer treatment was obtained from medical records, and Surveillance, Epidemiology and End Results, Northern California Cancer Center Registry. Associations between comorbidity and survival were analyzed with multiple Cox proportional hazards regression. Over a mean follow-up of 9 years, African Americans had higher overall crude mortality than whites: 165 (39.7%) versus 279 (33.3%), respectively. When age, race, tumor characteristics and breast cancer treatment were controlled, the presence of hypertension was associated with all cause survival [hazard ratio (HR) = 1.33, 95% confidence intervals (CI) 1.07-1.67] and it accounted for 30% of racial disparity in this outcome. Hypertension-augmented Charlson Comorbidity Index was a significant predictor of survival from all causes (HR = 1.32, 95%CI 1.18-1.49), competing causes (HR = 1.52, 95%CI 1.32-1.76) and breast cancer specific causes (HR = 1.18, 95%CI 1.03-1.35). In conclusion, hypertension has prognostic significance in relation to survival disparity between African-American and white breast cancer patients. If our findings are replicated in contemporary cohorts, it may be necessary to include hypertension in the Charlson Comorbidity Index and other comorbidity measures.

Multilevel modeling of walking behavior: advances in understanding the interactions of people, place, and time.

It has become increasingly clear that the influences on walking as well as other forms of regular physical activity are complex and require an increased understanding of factors across multiple levels of influence. Ecological frameworks have provided the field with a heuristic means of capturing potential impacts on behavior across diverse domains, including personal, behavioral, social or cultural, and environmental. We discuss advances in both understanding and applying this framework through the inclusion of previously ignored dimensions of impact (e.g., time), the application of state-of-the-art statistical methods for understanding interactions among multiple domains (e.g., signal detection), and the development of computer technologies (e.g., agent-based modeling) aimed at simulating the complex relationships between multiple levels of impact and walking behavior. We conclude with suggestions for future research in this emerging field.

Longitudinal, population-based study of racial/ethnic differences in colorectal cancer survival: impact of neighborhood socioeconomic status, treatment and comorbidity.

BACKGROUND: Colorectal cancer, if detected early, has greater than 90% 5-year survival. However, survival has been shown to vary across racial/ethnic groups in the United States, despite the availability of early detection methods. METHODS: This study evaluated the joint effects of sociodemographic factors, tumor characteristics, census-based socioeconomic status (SES), treatment, and comorbidities on survival after colorectal cancer among and within racial/ethnic groups, using the SEER-Medicare database for patients diagnosed in 1992-1996, and followed through 1999. RESULTS: Unadjusted colorectal cancer-specific mortality rates were higher among Blacks and Hispanic males than whites (relative rates (95% confidence intervals) = 1.34 (1.26-1.42) and 1.16 (1.04-1.29), respectively), and lower among Japanese (0.78 (0.70-0.88)). These patterns were evident for all-cause mortality, although the magnitude of the disparity was larger for colorectal cancer mortality. Adjustment for stage accounted for the higher rate among Hispanic males and most of the lower rate among Japanese. Among Blacks, stage and SES accounted for about half of the higher rate relative to Whites, and within stage III colon and stages II/III rectal cancer, SES completely accounted for the small differentials in survival between Blacks and Whites. Comorbidity did not appear to explain the Black-White differentials in colorectal-specific nor all-cause mortality, beyond stage, and treatment (surgery, radiation, chemotherapy) explained a very small proportion of the Black-White difference. The fully-adjusted relative mortality rates comparing Blacks to Whites was 1.14 (1.09-1.20) for all-cause mortality and 1.21 (1.14-1.29) for colorectal cancer specific mortality. The sociodemographic, tumor, and treatment characteristics also had different impacts on mortality within racial/ethnic groups. CONCLUSION: In this comprehensive analysis, race/ethnic-specific models revealed differential effects of covariates on survival after colorectal cancer within each group, suggesting that different strategies may be necessary to improve survival in each group. Among Blacks, half of the differential in survival after colorectal cancer was primarily attributable to stage and SES, but differences in survival between Blacks and Whites remain unexplained with the data available in this comprehensive, population-based, analysis.

Self-rated current and future health independently predict subsequent mortality in an aging population.

BACKGROUND: Self-rated current health is an independent, robust predictor of subsequent mortality in older adults. Investigators hypothesize that individuals likely take into account their future health when reporting their current health. However, few have measured and examined self-rated future health in relation to mortality. METHODS: We investigate the effect of three self-rated health measures on 10-year mortality in 2091 men and women in an aging cohort: (i) self-rated current health, (ii) self-rated future health (1 year in the future), and (iii) a combined measure of current and future health. Vital status at follow-up year 10 was the outcome. We used data from SPPARCS (Study of Physical Performance and Age-Related Changes in Sonomans), a population-based, census-sampled, study of the epidemiology of aging, health, and functioning. RESULTS: Compared to those reporting their future health as better/same, participants reporting their future health as worse or unknown (don't know) experienced elevated 10-year mortality (adjusted rate ratio [RR]=1.6, 95% confidence interval [CI], 1.2-2.1, p=.01), after adjustment for self-rated current health and other relevant covariates. The combined measure of current and future health also contributed important information. Compared to the referent (the best combination, current health excellent/good and future health better/same), participants reporting the worst combination, fair/poor current health and worse/unknown future health, experienced the highest 10-year mortality in the cohort (adjusted RR=3.2, 95% CI, 2.2-4.7, p=.00). CONCLUSIONS: Self-rated future health is an independent, robust predictor of mortality. It is as predictive of subsequent mortality in older adults as the standard measure of self-rated current health. Furthermore, a measure that combines self-reports of current health with future health was most useful in the identification of older adults with the highest mortality rates. Thus, the combined measure of current and future health may be most useful in practice, in distinguishing the differential mortality rates among persons reporting fair or poor self-rated current overall health.

Recommendations for treating depression in community-based older adults.

OBJECTIVE: To present recommendations for community-based treatment of late-life depression to public health and aging networks. METHODS: An expert panel of mental health and public health researchers and community-based practitioners in aging was convened in April 2006 to form consensus-based recommendations. When making recommendations, panelists considered feasibility and appropriateness for community-based delivery, as well as strength of evidence on program effectiveness from a systematic literature review of articles published through 2005. RESULTS: The expert panel strongly recommended depression care management-modeled interventions delivered at home or at primary care clinics. The panel recommended individual cognitive behavioral therapy. Interventions not recommended as primary treatments for late-life depression included education and skills training, comprehensive geriatric health evaluation programs, exercise, and physical rehabilitation/occupational therapy. There was insufficient evidence for making recommendations for several intervention categories, including group psychotherapy and psychotherapies other than cognitive behavioral therapy. CONCLUSIONS: This interdisciplinary expert panel determined that recommended interventions should be disseminated throughout the public health and aging networks, while acknowledging the challenges and obstacles involved. Interventions that were not recommended or had insufficient evidence often did not treat depression primarily and/or did not include a clinically depressed sample while attempting to establish efficacy. These interventions may provide other benefits, but should not be presumed to effectively treat depression by themselves. Panelists also identified primary prevention of depression as a much under-studied area. These findings should aid individual clinicians as well as public health decision makers in the delivery of population-based mental health services in diverse community settings.

Community-based treatment of late life depression an expert panel-informed literature review.

OBJECTIVES: To present findings from an expert panel-informed literature review on community-based treatment of late-life depression. METHODS: A systematic literature review was conducted to appraise publications on community-based interventions for depression in older adults. The search was conducted between March and October 2005. An expert panel of mental health, aging, health services, and epidemiology researchers guided the review and voted on quality and effectiveness of these interventions. RESULTS: A total of 3,543 articles were found with publication dates from 1967 to October 2005; of these, 116 were eligible for inclusion. Adequate data existed to determine effectiveness for the following interventions: depression care management, group and individual psychotherapy for depression, psychotherapy targeting mental health, psychotherapy for caregivers, education and skills training (to manage health problems besides depression; and for caregivers), geriatric health evaluation and management, exercise, and physical rehabilitation and occupational therapy. After reviewing the data, panelists rated the depression care management interventions as effective. Education and skills training, geriatric health evaluation and management, and physical rehabilitation and occupational therapy received ineffective ratings. Other interventions received mixed effectiveness ratings. Insufficient data availability and poor study quality prevented the panelists from rating several reviewed interventions. CONCLUSIONS: While several well-described interventions were found to treat depression effectively in community-dwelling older adults, significant gaps still exist. Interventions that did not target depression specifically may be of benefit to older adults, but they should not be presumed to treat depression by themselves. Treating depressed elders may require a multifaceted approach to ensure effectiveness. More research in this area is needed.

Risk Profiles for Falls among Older Adults: New Directions for Prevention.

OBJECTIVE: To address whether neighborhood factors, together with older adults' levels of health and functioning, suggest new combinations of risk factors for falls and new directions for prevention. To explore the utility of Grade-of-Membership (GoM) analysis to conduct this descriptive analysis. METHOD: This is a cross-sectional, descriptive study of 884 people aged ≥65 years from Alameda County, CA, Cook County, IL, Allegheny County, PA, and Wake and Durham counties, NC. Interviews focused on neighborhood characteristics, physical and cognitive function, walking, and falls and injuries. Four risk profiles (higher order interactions of individual and neighborhood factors) were derived from GoM analysis. RESULTS: Profiles 1 and 2 reflect previous results showing that frail older adults are likely to fall indoors (Profile 1); healthy older adults are likely to fall outdoors (Profile 2). Profile 3 identifies the falls risk for older with mild cognitive impairment living in moderately walkable neighborhoods. Profile 4 identifies the risk found for healthy older adults living in neighborhoods with low walkability. DISCUSSION: Neighborhood walkability, in combination with levels of health and functioning, is associated with both indoor and outdoor falls. Descriptive results suggest possible research hypotheses and new directions for prevention, based on individual and neighborhood factors.

Non-Emergency Medical Transportation Needs of Middle-Aged and Older Adults: A Rural-Urban Comparison in Delaware, USA.

Background: Older adults in rural areas have unique transportation barriers to accessing medical care, which include a lack of mass transit options and considerable distances to health-related services. This study contrasts non-emergency medical transportation (NEMT) service utilization patterns and associated costs for Medicaid middle-aged and older adults in rural versus urban areas. Methods: Data were analyzed from 39,194 NEMT users of LogistiCare-brokered services in Delaware residing in rural (68.3%) and urban (30.9%) areas. Multivariable logistic analyses compared trip characteristics by rurality designation. Results: Rural (37.2%) and urban (41.2%) participants used services more frequently for dialysis than for any other medical concern. Older age and personal accompaniment were more common and wheel chair use was less common for rural trips. The mean cost per trip was greater for rural users (difference of $2910 per trip), which was attributed to the greater distance per trip in rural areas. Conclusions: Among a sample who were eligible for subsidized NEMT and who utilized this service, rural trips tended to be longer and, therefore, higher in cost. Over 50% of trips were made for dialysis highlighting the need to address prevention and, potentially, health service improvements for rural dialysis patients.

Drinking and driving and perceptions of arrest risk among California drivers: Relationships with DUI arrests in their city of residence.

OBJECTIVE: Addressing drinking and driving remains a challenge in the United States. The present study aims to provide feedback on driving under the influence (DUI) in California by assessing whether drinking and driving behavior is associated with the DUI arrest rates in the city in which the driver lives; whether this is due to perceptions that one can get arrested for this behavior; and whether this differed by those drivers who would be most affected by deterrence efforts (those most likely to drink outside the home). METHODS: This study consisted of a 2012 roadside survey of 1,147 weekend nighttime drivers in California. City DUI arrest rates for 2009-2011 were used as an indicator of local enforcement efforts. Population average logistic modeling was conducted modeling the odds of perceived high arrest likelihood for DUI and drinking and driving behavior within the past year. RESULTS: As the DUI arrest rates for the city in which the driver lives increased, perceived high risk of DUI arrest increased. There was no significant relationship between either city DUI arrest rates or perceived high risk of DUI arrest with self-reported drinking and driving behavior in the full sample. Among a much smaller sample of those most likely to drink outside the home, self-reported drinking and driving behavior was negatively associated with DUI arrests rates in their city of residence but this was not mediated by perceptions. CONCLUSION: The results of the present study suggest that perceptions are correlated with one aspect of DUI efforts in one's community. Those who were more likely to drink outside the home could be behaviorally influenced by these efforts.

Racial/Ethnic Differences in the Impact of Neighborhood Social and Built Environment on Breast Cancer Risk: The Neighborhoods and Breast Cancer Study.

Background: Neighborhood socioeconomic status (nSES) has been found to be associated with breast cancer risk. It remains unclear whether this association applies across racial/ethnic groups independent of individual-level factors and is attributable to other neighborhood characteristics.Methods: We examined the independent and joint associations of education and nSES with odds of breast cancer. Residential addresses were geocoded for 2,838 cases and 3,117 controls and linked to nSES and social and built environment characteristics. We estimated ORs and 95% confidence intervals (CI) using multilevel logistic regression controlling for individual-level breast cancer risk factors and assessed the extent to which nSES associations were due to neighborhood characteristics.Results: Women living in the highest versus lowest nSES quintile had a nearly 2-fold greater odds of breast cancer, with elevated odds (adjusted ORs, 95% CI) for non-Hispanic whites (NHWs; 2.27; 1.45-3.56), African Americans (1.74; 1.07-2.83), U.S.-born Hispanics (1.82; 1.19-2.79), and foreign-born Hispanics (1.83; 1.06-3.17). Considering education and nSES jointly, ORs were increased for low education/high nSES NHWs (1.83; 1.14-2.95), high education/high nSES NHWs (1.64; 1.06-2.54), and high education/high nSES foreign-born Hispanics (2.17; 1.52-3.09) relative to their race/ethnicity/nativity-specific low education/low nSES counterparts. Adjustment for urban and mixed-land use characteristics attenuated the nSES associations for most racial/ethnic/nativity groups except NHWs.Conclusions: Our study provides empirical evidence for a role of neighborhood environments in breast cancer risk, specifically social and built environment attributes.Impact: Considering the role of neighborhood characteristics among diverse populations may offer insights to understand racial/ethnic disparities in breast cancer risk. Cancer Epidemiol Biomarkers Prev; 26(4); 541-52. ©2017 AACR.