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Purpose: To examine the association between cumulative exposure to neighborhood walkability (NW) and diabetes risk., Methods: A total of 11,037 women free of diabetes at enrollment were included. We constructed a 4-item NW index at baseline, and a 2-item average annual NW across years of follow-up that captured both changes in neighborhood features and residential moves. We used multivariable Cox PH regression models with robust variance to estimate the hazard ratios (HRs) of diabetes by NW scores., Results: Compared with women living in areas with lowest NW (Q1), those living in areas with highest NW (Q4) had 33 % (26 %-39 %) reduced risk of incident diabetes, using baseline NW, and 25 % (95 % CI 11 %-36 %), using average annual NW. Analysis using time-varying exposure showed that diabetes risks decreased by 13 % (10 %-16 %) per -standard deviation increase in NW. The associations remained similar when using inverse probability of attrition weights and/or competing risk models to account for the effect of censoring due to death or non-response. The associations of average annual NW with incident diabetes were stronger in postmenopausal women as compared to premenopausal women., Conclusion: Long-term residence in more walkable neighborhoods may be protective against diabetes in women, especially postmenopausal women., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Yu Chen reports a relationship with New York University Grossman School of Medicine that includes: employment. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)

The location-based case-control design is a useful approach for studies where the exposures of interest are aspects of the environment around the location of a health event such as a pedestrian fatality. In this design locations are the unit of analysis and an enumerated cohort of locations are followed through time for the health events of interest and a case-control study of locations is nested within the cohort. Locations where events occurred (case-locations) are compared to matched locations where these events did not occur (control-locations). We describe the application of this design to the issue of pedestrian fatalities using a cohort of 9,612,698 intersections, 17,737,728 road segments, and 222,318 entrance/exit ramp segments that existed in 2017 across all 384 U.S. Metropolitan Statistical Areas. This cohort of locations was followed up from Jan 1, 2017 to Dec 31, 2018 for pedestrian fatalities using the National Highway Traffic Safety Administration Fatality Analysis Reporting System. In total, 10,587 fatalities were identified as having occurred on cohort locations and 21,174 matched control locations were selected using incidence density sampling. Geographic information systems, spatially linked administrative data sets and virtual neighborhood audits via Google Street View are underway to characterize study locations., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Neighborhood walkability-features of the built environment that promote pedestrian activity-has been associated with greater physical activity and lower body mass index (BMI; calculated as weight (kg)/height (m)2) among neighborhood residents. However, much of the literature has been cross-sectional and only a few cohort studies have assessed neighborhood features throughout follow-up. Using data from the Reasons for Geographic and Racial Differences in Stroke Study (2003-2016) and a neighborhood walkability index (NWI) measured annually during follow-up, we assessed whether the cumulative experience of neighborhood walkability (NWI-years) predicted BMI and waist circumference after approximately 10 years of follow-up, controlling for these anthropometric measures at enrollment. Analyses were adjusted for individual-level sociodemographic covariates and the cumulative experience of neighborhood poverty rate and neighborhood greenspace coverage. Almost a third (29%) of participants changed address at least once during follow-up. The first change of residence, on average, brought the participants to neighborhoods with higher home values and lower NWI scores than their originating neighborhoods. Compared with those having experienced the lowest quartile of cumulative NWI-years, those who experienced the highest quartile had 0.83 lower BMI (95% confidence interval, -1.5, -0.16) and 1.07-cm smaller waist circumference (95% confidence interval, -1.96, -0.19) at follow-up. These analyses provide additional longitudinal evidence that residential neighborhood features that support pedestrian activity are associated with lower adiposity., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Background: Living in neighborhoods with higher levels of walkability has been associated with a reduced risk of obesity and higher levels of physical activity. Obesity has been linked to increased risk of 13 cancers in women. However, long-term prospective studies of neighborhood walkability and risk for obesity-related cancer are scarce., Objectives: We evaluated the association between long-term average neighborhood walkability and obesity-related cancer risk in women., Methods: The New York University Women's Health Study (NYUWHS) is a prospective cohort with 14,274 women recruited between 1985 and 1991 in New York City and followed over nearly three decades. We geocoded residential addresses for each participant throughout follow-up and calculated an average annual measure of neighborhood walkability across years of follow-up using data on population density and accessibility to destinations associated with geocoded residential addresses. We used ICD-9 codes to characterize first primary obesity-related cancers and employed Cox proportional hazards models to assess the association between average neighborhood walkability and risk of overall and site-specific obesity-related cancers., Results: Residing in neighborhoods with a higher walkability level was associated with a reduced risk of overall and site-specific obesity-related cancers. The hazards ratios associated with a 1-standard deviation increase in average annual neighborhood walkability were 0.88 (95% CI: 0.85, 0.93) for overall obesity-related cancer, 0.89 (95% CI: 0.84, 0.95) for postmenopausal breast cancer, 0.82 (95% CI: 0.68, 0.99) for ovarian cancer, 0.87 (95% CI: 0.76, 0.99) for endometrial cancer, and 0.68 (95% CI: 0.49, 0.94) for multiple myeloma, adjusting for potential confounders at both the individual and neighborhood level. The association between neighborhood walkability and risk of overall obesity-related cancer was stronger among women living in neighborhoods with higher levels of poverty compared with women living in areas with lower poverty levels ( p Interaction = 0.006 )., Discussion: Our study highlights a potential protective role of neighborhood walkability in preventing obesity-related cancers in women. https://doi.org/10.1289/EHP11538.

Importance: Infants born with unhealthy birth weight are at greater risk for long-term health complications, but little is known about how neighborhood characteristics (eg, walkability, food environment) may affect birth weight outcomes., Objective: To assess whether neighborhood-level characteristics (poverty rate, food environment, and walkability) are associated with risk of unhealthy birth weight outcomes and to evaluate whether gestational weight gain mediated these associations., Design, Setting, and Participants: The population-based cross-sectional study included births in the 2015 vital statistics records from the New York City Department of Health and Mental Hygiene. Only singleton births and observations with complete birth weight and covariate data were included. Analyses were performed from November 2021 to March 2022., Exposures: Residential neighborhood-level characteristics, including poverty, food environment (healthy and unhealthy food retail establishments), and walkability (measured by both walkable destinations and a neighborhood walkability index combining walkability measures like street intersection and transit stop density). Neighborhood-level variables categorized into quartiles., Main Outcomes and Measures: The main outcomes were birth certificate birth weight measures including small for gestational age (SGA), large for gestational age (LGA), and sex-specific birth weight for gestational age z-score. Generalized linear mixed-effects models and hierarchical linear models estimated risk ratios for associations between density of neighborhood-level characteristics within a 1-km buffer of residential census block centroid and birth weight outcomes., Results: The study included 106 194 births in New York City. The mean (SD) age of pregnant individuals in the sample was 29.9 (6.1) years. Prevalence of SGA and LGA were 12.9% and 8.4%, respectively. Residence in the highest density quartile of healthy food retail establishments compared with the lowest quartile was associated with lower adjusted risk of SGA (with adjustment for individual covariates including gestational weight gain z-score: risk ratio [RR], 0.89; 95% CI 0.83-0.97). Higher neighborhood density of unhealthy food retail establishments was associated with higher adjusted risk of delivering an infant classified as SGA (fourth vs first quartile: RR, 1.12; 95% CI, 1.01-1.24). The RR for the association between density of unhealthy food retail establishments and risk of LGA was higher after adjustment for all covariates in each quartile compared with quartile 1 (second: RR, 1.12 [95% CI, 1.04-1.20]; third: RR, 1.18 [95% CI, 1.08-1.29]; fourth: RR, 1.16; [95% CI, 1.04-1.29]). There were no associations between neighborhood walkability and birth weight outcomes (SGA for fourth vs first quartile: RR, 1.01 [95% CI, 0.94-1.08]; LGA for fourth vs first quartile: RR, 1.06 [95% CI, 0.98-1.14])., Conclusions and Relevance: In this population-based cross-sectional study, healthfulness of neighborhood food environments was associated with risk of SGA and LGA. The findings support use of urban design and planning guidelines to improve food environments to support healthy pregnancies and birth weight.

Background: Despite the links between neighbourhood walkability and physical activity, body size and risk of diabetes, there are few studies of neighbourhood walkability and risk of gestational diabetes (GD)., Objectives: Assess whether higher neighbourhood walkability is associated with lower risk of GD in New York City (NYC)., Methods: Cross-sectional analyses of a neighbourhood walkability index (NWI) score and density of walkable destinations (DWD) and risk of GD in 109,863 births recorded in NYC in 2015. NWI and DWD were measured for the land area of 1 km radius circles around the geographic centroid of each Census block of residence. Mixed generalised linear models, with robust standard error estimation and random intercepts for NYC Community Districts, were used to estimate risk ratios for GD for increasing quartiles of each of the neighbourhood walkability measures after adjustment for the pregnant individual's age, race and ethnicity, parity, education, nativity, and marital status and the neighbourhood poverty rate., Results: Overall, 7.5% of pregnant individuals experienced GD. Risk of GD decreased across increasing quartiles of NWI, with an adjusted risk ratio of 0.81 (95% Confidence Interval (CI) 0.75, 0.87) comparing those living in areas in the 4th quartile of NWI to those in the first quartile. Similarly, for comparisons of the 4th to 1st quartile of DWD, the adjusted risk ratio for GD was 0.77 (95% CI 0.71, 0.84)., Conclusions: These analyses find support for the hypothesis that higher neighbourhood walkability is associated with a lower risk of GD. The analyses provide further health related support for urban design policies to increase walkability., (© 2023 John Wiley & Sons Ltd.)

Background: Neighborhood walkability (NW) has been linked to increased physical activity, which in turn is associated with lower concentrations of sex hormones and higher concentration of SHBG in women. However, no study has directly examined the association of NW with female sex hormone levels., Objective: We conducted a cross-sectional study to evaluate the association between NW and circulating levels of sex hormones and SHBG in pre- and post-menopausal women., Methods: We included 797 premenopausal and 618 postmenopausal women from the New York University Women's Health Study (NYUWHS) who were healthy controls in previous nested case-control studies in which sex hormones (androstenedione, testosterone, DHEAS, estradiol and estrone) and SHBG had been measured in serum at enrollment. Baseline residential addresses were geo-coded and the Built Environment and Health Neighborhood Walkability Index (BEH-NWI) was calculated. Generalized Estimating Equations were used to assess the association between BEH-NWI and sex hormone and SHBG concentrations adjusting for individual- and neighborhood-level factors., Results: In premenopausal women, a one standard deviation (SD) increment in BEH-NWI was associated with a 3.5% (95% CI 0.9%-6.1%) lower DHEAS concentration. In postmenopausal women, a one SD increment in BEH-NWI was related to an 8.5% (95% CI 5.4%-11.5%) lower level of DHEAS, a 3.7% (95% CI 0.5%-6.8%) lower level of testosterone, a 1.8% (95% CI 0.5%-3.0%) lower level of estrone, and a 4.2% (95% CI 2.7%-5.7%) higher level of SHBG. However, the associations with respect to DHEAS and estrone became apparent only after adjusting for neighborhood-level variables. Sensitivity analyses using fixed effects meta-analysis and inverse probability weighting accounting for potential selection bias yielded similar results., Conclusion: Our findings suggest that NW is associated with lower concentrations of androgens and estrone, and increased SHBG, in postmenopausal women, and lower levels of DHEAS in premenopausal women., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Purpose of Review: We review the application and limitations of two implementations of the "case-only design" in injury epidemiology with example analyses of Fatality Analysis Reporting System data., Recent Findings: The term "case-only design" covers a variety of epidemiologic designs; here, two implementations of the design are reviewed: (1) studies to uncover etiological heterogeneity and (2) studies to measure exposure effect modification. These two designs produce results that require different interpretations and rely upon different assumptions. The key assumption of case-only designs for exposure effect modification, the more commonly used of the two designs, does not commonly hold for injuries and so results from studies using this design cannot be interpreted. Case-only designs to identify etiological heterogeneity in injury risk are interpretable but only when the case-series is conceptualized as arising from an underlying cohort., Summary: The results of studies using case-only designs are commonly misinterpreted in the injury literature., Competing Interests: Conflict of Interest The authors declare no competing interests.

Objective: To evaluate the association of the built environment and neighborhood resources with exercise, diet, and body mass index (BMI)., Method: Person-level data were collected from 533 veterans with uncontrolled hypertension. Neighborhood measures were: (a) census-tract level walkability; and (b) healthy food proximity (HFP). Robust or logistic regression (adjusting for age, race, education, comorbidity, and clustered by provider) was used to evaluate associations between neighborhood and exercise duration (hours/week), exercise adherence (% adherent), saturated fat index (0-10), Healthy Eating Index (HEI; 0-100), HEI adherence (≥ 74 score), stage of change (SOC) for exercise and diet (% in action/maintenance), BMI (kg/m²), and obesity (BMI ≥ 30 kg/m²)., Results: The adjusted difference in HEI score (standard error [ SE ]) between the highest and lowest walkability tertiles was 3.67 (1.35), p = .006; the corresponding comparison for the saturated fat index was 1.03 (.50), p = .041 and BMI was -1.12 (.45), p = .013. The adjusted odds ratio ( OR ; 95% confidence intervals [CI]) between the highest and lowest walkability tertiles for HEI adherence was 2.16 [1.22, 3.82], p = .009 and for action/maintenance for exercise SOC was 1.78 [1.15, 2.76], p = .011. The adjusted difference ( SE ) between the highest and lowest HFP tertiles for exercise duration was .65 (.31), p = .03. The adjusted OR [95% CI] between the highest and lowest HFP tertiles for exercise adherence was 1.74 [1.08, 2.79], p = .023 and for action/maintenance for exercise SOC was 1.75 [1.10, 2.79], p = .034., Conclusions: Geographical location is associated with exercise and diet. Environment-tailored health recommendations could promote healthier lifestyles and decrease obesity-related cardiovascular disease. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Background: To address patient's unmet social needs and improve health outcomes, health systems have developed programs to refer patients in need to social service agencies. However, the capacity to respond to patient referrals varies tremendously across communities. This study assesses the emergence of disparities in spatial access to social services from 1990 to 2014., Methods: Social service providers in the lower 48 continental U.S. states were identified annually from 1990 to 2014 from the National Establishment Times Series (NETS) database. The addresses of providers were linked in each year to 2010 US Census tract geometries. Time series analyses of annual counts of services per Km 2 were conducted using Generalized Estimating Equations with tracts stratified into tertiles of 1990 population density, quartiles of 1990 poverty rate and quartiles of 1990 to 2010 change in median household income., Results: Throughout the period, social service agencies/Km 2 increased across tracts. For high population density tracts, in the top quartile of 1990 poverty rate, compared to tracts that experienced the steepest declines in median household income from 1990 to 2010, tracts that experienced the largest increases in income had more services (+ 1.53/Km 2 , 95% CI 1.23, 1.83) in 1990 and also experienced the steepest increases in services from 1990 to 2010: a 0.09 services/Km 2 /year greater increase (95% CI 0.07, 0.11). Similar results were observed for high poverty tracts in the middle third of population density, but not in tracts in the lowest third of population density, where there were very few providers., Conclusion: From 1990 to 2014 a spatial mismatch emerged between the availability of social services and the expected need for social services as the population characteristics of neighborhoods changed. High poverty tracts that experienced further economic decline from 1990 to 2010, began the period with the lowest access to services and experienced the smallest increases in access to services. Access was highest and grew the fastest in high poverty tracts that experienced the largest increases in median household income. We theorize that agglomeration benefits and the marketization of welfare may explain the emergence of this spatial mismatch., (© 2022. The Author(s).)

Objective: This study evaluated associations between neighborhood-level characteristics and gestational weight gain (GWG) in a population-level study of 2015 New York City births., Methods: Generalized linear mixed-effects models were used to estimate odds ratios (ORs) for associations between neighborhood-level characteristics (poverty, food environment, walkability) within 1 km of a residential Census block centroid and excessive or inadequate GWG compared with recommended GWG. All models were adjusted for individual-level sociodemographic characteristics., Results: Among the sample of 106,285 births, 41.8% had excessive GWG, and 26.3% had inadequate GWG. Residence in the highest versus lowest quartile of neighborhood poverty was associated with greater odds of excessive GWG (OR: 1.17, 95% CI: 1.08-1.26). Residence in neighborhoods in the quartile of highest walkability compared with the quartile of lowest walkability was associated with lower odds of excessive GWG (OR: 0.87, 95% CI: 0.81-0.93). Adjustment for prepregnancy BMI attenuated the associations for neighborhood poverty, but not for walkability. Neighborhood variables were not associated with inadequate GWG., Conclusions: These analyses indicate that greater neighborhood walkability is associated with lower odds of excessive GWG, potentially from differences in pedestrian activity during pregnancy. This research provides further evidence for using urban design to support healthy weight status during pregnancy., (© 2022 The Obesity Society.)

Background: There is a paucity of prospective cohort studies evaluating neighborhood walkability in relation to the risk of death., Methods: We geocoded baseline residential addresses of 13,832 women in the New York University Women's Health Study (NYUWHS) and estimated the Built Environment and Health Neighborhood Walkability Index (BEH-NWI) for each participant circa 1990. The participants were recruited from 1985 to 1991 in New York City and followed for an average of 27 years. We conducted survival analyses using Cox proportional hazards models to assess the association between neighborhood walkability and risk of death from any cause, obesity-related diseases, cardiometabolic diseases, and obesity-related cancers., Results: Residing in a neighborhood with a higher neighborhood walkability score was associated with a lower mortality rate. Comparing women in the top versus the lowest walkability tertile, the hazards ratios (and 95% CIs) were 0.96 (0.93, 0.99) for all-cause, 0.91 (0.86, 0.97) for obesity-related disease, and 0.72 (0.62, 0.85) for obesity-related cancer mortality, respectively, adjusting for potential confounders at both the individual and neighborhood level. We found no association between neighborhood walkability and risk of death from cardiometabolic diseases. Results were similar in analyses censoring participants who moved during follow-up, using multiple imputation for missing covariates, and using propensity scores matching women with high and low neighborhood walkability on potential confounders. Exploratory analyses indicate that outdoor walking and average BMI mediated the association between neighborhood walkability and mortality., Conclusion: Our findings are consistent with a protective role of neighborhood walkability in obesity-related mortality in women, particularly obesity-related cancer mortality., Competing Interests: The authors report no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage greenspace (years 1990, 2000) and subsequent changes (1990-2000, 2000-2010) in percentage college-educated, percentage working professional jobs, race/ethnic composition, household income, percentage living in poverty, household rent, and home value. We also investigated effect modification by racial/ethnic composition. We ran models for each MSA and time period and used random-effects meta-analyses to derive summary estimates for each period. Estimates were modest in magnitude and heterogeneous across MSAs. After adjusting for census-tract level population density in 1990, compared to tracts with low percentage greenspace in 1992 (defined as ≤50th percentile of the MSA-specific distribution in 1992), those with high percentage greenspace (defined as >75th percentile of the MSA-specific distribution) experienced higher 1990-2000 increases in percentage of the employed civilian aged 16+ population working professional jobs (β: 0.18, 95% confidence interval (CI): 0.11, 0.26) and in median household income (β: 0.23, 95% CI: 0.15, 0.31). Adjusted estimates for the 2000-2010 period were near the null. We did not observe evidence of effect modification by race/ethnic composition. We observed evidence of modest associations between greenspace and gentrification trends. Further research is needed to explore reasons for heterogeneity and to quantify health implications.

Ordinary kriging, a spatial interpolation technique, is commonly used in social sciences to estimate neighborhood attributes such as physical disorder. Universal kriging, developed and used in physical sciences, extends ordinary kriging by supplementing the spatial model with additional covariates. We measured physical disorder on 1,826 sampled block faces across 4 US cities (New York, Philadelphia, Detroit, and San Jose) using Google Street View imagery. We then compared leave-one-out cross-validation accuracy between universal and ordinary kriging and used random subsamples of our observed data to explore whether universal kriging could provide equal measurement accuracy with less spatially dense samples. Universal kriging did not always improve accuracy. However, a measure of housing vacancy did improve estimation accuracy in Philadelphia and Detroit (7.9 and 6.8% lower root mean square error, respectively) and allowed for equivalent estimation accuracy with half the sampled points in Philadelphia. Universal kriging may improve neighborhood measurement., Competing Interests: Conflicts of interest: The authors have no conflicts of interest to declare.

Objectives. To characterize health and health-related resources in the new qualified opportunity zones (QOZs) relative to tracts not selected or not eligible for this federal investment incentive. Methods. We used tract-level data from the 498 largest cities in the contiguous United States (n = 24 409), categorized using designations from the Department of Treasury. We compiled data on population characteristics, health-related resources, and health from the American Community Survey, the National Establishment Time Series, the National Land Cover Dataset, and the US Small-Area Life Expectancy Estimates Project and the 500 Cities projects. We calculated means and SDs for ineligible, eligible (but not designated), and designated QOZ tracts. Results. In general, designated QOZ tracts had lower access to health care facilities, physical activity resources, and healthy food. They had a higher prevalence of unhealthy behaviors and worse health outcomes across most measures. Conclusions. By benchmarking conditions, we facilitate tracking and assessment of QOZ impacts. Public Health Implications. QOZ could spur unprecedented neighborhood change with substantial influence on health resources and outcomes. Public health collaboration and strategic local governance of QOZ will be crucial for yielding health benefits for existing residents.

Disparities in availability of food retailers in the residential environment may help explain racial/ethnic and socio-economic differences in obesity risk. Research is needed that describes whether food environment dynamics may contribute to equalizing conditions across neighborhoods or to amplifying existing inequalities over time. This study improves the understanding of how the BMI-unhealthy food environment has evolved over time in New York City. We use longitudinal census tract-level data from the National Establishment Time-Series (NETS) for New York City in the period 1990-2010 and implement latent class growth analysis (LCGA) to (1) examine trajectories of change in the number of unhealthy food outlets (characterized as selling calorie-dense foods such as pizza and pastries) at the census tract-level, and (2) examine how trajectories are related to socio-demographic characteristics of the census tract. Overall, the number of BMI-unhealthy food outlets increased between 1990 and 2010. We summarized trajectories of evolutions with a 5-class model that indicates a pattern of fanning out, such that census tracts with a higher initial number of BMI-unhealthy food outlets in 1990 experienced a more rapid increase over time. Finally, fully adjusted logistic regression models reveal a greater increase in BMI-unhealthy food outlets in census tracts with: higher baseline population size, lower baseline income, and lower proportion of Black residents. Greater BMI-unhealthy food outlet increases were also noted in the context of census tracts change suggestive of urbanization (increasing population density) or increasing purchasing power (increasing income)., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Efforts to increase physical activity have traditionally included either individual-level interventions (e.g., educational campaigns) or neighborhood-level interventions (e.g., additional recreational facilities). Little work has addressed the interaction between spatial proximity and individual characteristics related to facility use. We aimed to better understand the synergistic impact of both physical activity environments and recreational facility membership on objectively measured physical activity. Using the New York City Physical Activity and Transit (PAT) survey (n = 644), we evaluated associations between counts of commercial physical activity facilities within 1 km of participants' home addresses with both facility membership and accelerometry-measured physical activity. Individuals living near more facilities were more likely to report membership (adjusted odds ratio for top versus bottom quartile of facility count: 3.77 (95% CI 1.54-9.20). Additionally, while amount of facilities within a neighborhood was associated with more physical activity, this association was stronger for individuals reporting gym membership. Interventions aiming to increase physical activity should consider both neighborhood amenities and potential barriers, including the financial and social barriers of membership. Evaluation of neighborhood opportunities must expand beyond physical presence to consider multiple dimensions of accessibility.

To examine how urban form shapes physical activity and health over time, a measure of neighborhood walkability is needed that can be linked to cohort studies with participants living across the United States (U.S.) that have been followed over the past decades. The Built Environment and Health-Neighborhood Walkability Index (BEH-NWI), a measure of neighborhood walkability that can be calculated for communities across the United States between 1990 and 2015, was conceptualized, developed, and tested using data from the New York City Tri-State Area. BEH-NWI measures were created for 1990 and 2010 using historical data on population density, street intersection density, density of rail stops, and density of pedestrian trip generating/supporting establishments. BEH-NWI scores were calculated for 1-km buffers around the 1990 residences of NYU Women's Health Study (NYUWHS) participants and NYC Department of Health and Mental Hygiene's Physical Activity and Transit (PAT) survey participants enrolled in 2011. Higher neighborhood BEH-NWI scores were significantly associated with greater self-reported walking per week (+ 0.31 MET-hours/week per unit BEH-NWI, 95% CI 0.23, 0.36) and lower body mass index (- 0.17 BMI units per unit BEH-NWI, 95% - 0.23, - 0.12) among NYUWHS participants. Higher neighborhood BEH-NWI scores were associated with significantly higher accelerometer-measured physical activity among PAT survey participants (39% more minutes of moderate-intensity equivalent activity/week across the interquartile range of BEH-NWI, 95% CI 21%, 60%). The BEH-NWI can be calculated using historical data going back to 1990, and BEH-NWI scores predict BMI, weekly walking, and physical activity in two NYC area datasets.

The New York City (NYC) Longitudinal Study of Wellbeing, or "Poverty Tracker," is a survey of approximately 2300 NYC residents. Its purpose is to provide a multidimensional and dynamic understanding of economic disadvantage in NYC. Measures of disadvantage were collected at baseline and a 12-month follow-up, and include 3 types of disadvantage: 1) income poverty, using a measure on the basis of the new Supplemental Poverty Measure; 2) material hardship, including indicators of food insecurity, housing hardship, unmet medical needs, utility cutoffs, and financial insecurity; and 3) adult health problems, which can drain family time and resources. In this article initial results for NYC families with children younger than the age of 18 years are presented. At baseline, 56% of families with children had 1 or more type of disadvantage, including 28% with income poverty, 39% with material hardship, and 17% with an adult health problem. Even among nonpoor families, 33% experienced material hardship and 14% reported an adult health problem. Two-thirds of all families faced disadvantage at either baseline or follow-up, with 46% experiencing some kind of disadvantage at both time points. Respondents with a college education were much less likely to face disadvantage. Even after adjusting for educational attainment and family characteristics, the families of black and Hispanic respondents had increased rates of disadvantage. Considering income poverty alone the extent of disadvantage among families with children in NYC is greatly understated. These results suggest that in addition to addressing income poverty, policymakers should give priority to efforts to reduce material hardship and help families cope with chronic physical or mental illness. The need for these resources extends far above the poverty line., Competing Interests: Corporate support and conflicts of interest: The authors have no corporate support or conflicts of interest to report., (Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objectives: To demonstrate an information technology-based approach to assess characteristics of streets and intersections associated with injuries that is less costly and time-consuming than location-based studies of pedestrian injury., Methods: We used imagery captured by Google Street View from 2007 to 2011 to assess 9 characteristics of 532 intersections within New York City. We controlled for estimated pedestrian count and estimated the relation between intersections' characteristics and frequency of injurious collisions., Results: The count of pedestrian injuries at intersections was associated with the presence of marked crosswalks (80% increase; 95% confidence interval [CI] = 2%, 218%), pedestrian signals (156% increase; 95% CI = 69%, 259%), nearby billboards (42% increase; 95% CI = 7%, 90%), and bus stops (120% increase; 95% CI = 51%, 220%). Injury incidence per pedestrian was lower at intersections with higher estimated pedestrian volumes., Conclusions: Consistent with in-person study observations, the information-technology approach found traffic islands, visual advertising, bus stops, and crosswalk infrastructures to be associated with elevated counts of pedestrian injury in New York City. Virtual site visits for pedestrian injury control studies are a viable and informative methodology.

Introduction: Urban form characteristics intended to support pedestrian activity, collectively referred to as neighborhood walkability, are thought to increase total physical activity. However, little is known about how neighborhood walkability influences utilization of neighborhood space by residents and their overall physical activity., Methods: Sociodemographic information and data on mobility and physical activity over 1-week periods measured by GPS loggers and accelerometers were collected from 803 residents of New York City between November 2010 and November 2011. Potentially accessible neighborhood areas were defined as land area within a 1-kilometer distance of the subject's home (radial buffer) and within a 1-kilometer journey on the street network from the home (network buffer). To define actual areas utilized by subjects, a minimum convex polygon was plotted around GPS waypoints falling within 1 kilometer of the home. A neighborhood walkability scale was calculated for each neighborhood area. Data were analyzed in 2014., Results: Total residential neighborhood space utilized by subjects was significantly associated with street intersection density and was significantly negatively associated with residential density and subway stop density within 1 kilometer of the home. Walkability scale scores were significantly higher within utilized as compared with non-utilized neighborhood areas. Neighborhood walkability in the utilized neighborhood area was positively associated with total weekly physical activity (32% [95% CI=17%, 49%] more minutes of moderate-equivalent physical activity across the interquartile range of walkability)., Conclusion: Neighborhood walkability is associated with neighborhood spaces utilized by residents and total weekly physical activity., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Neighborhood physical disorder, or the deterioration of urban environments, is associated with negative mental and physical health outcomes. Eleven trained raters used CANVAS, a web-based system for conducting reliable virtual street audits, to collect data on nine indicators of physical disorder using Google Street View imagery of 532 block faces in New York City, New York, USA. We combined the block face indicator data into a disorder scale using item response theory; indicators ranged in severity from presence of litter, a weak indicator of disorder, to abandoned cars, a strong indicator. Using this scale, we estimated disorder at the center point of each sampled block. We then used ordinary kriging to interpolate estimates of disorder levels throughout the city. The resulting map condenses a complex estimation process into an interpretable visualization of the spatial distribution of physical disorder in New York City.

Background: The densities of food retailers, alcohol outlets, physical activity facilities, and medical facilities have been associated with diet, physical activity, and management of medical conditions. Most of the research, however, has relied on cross-sectional studies. In this paper, we assess methodological issues raised by a data source that is increasingly used to characterize change in the local business environment: the National Establishment Time Series (NETS) dataset., Discussion: Longitudinal data, such as NETS, offer opportunities to assess how differential access to resources impacts population health, to consider correlations among multiple environmental influences across the life course, and to gain a better understanding of their interactions and cumulative health effects. Longitudinal data also introduce new data management, geoprocessing, and business categorization challenges. Examining geocoding accuracy and categorization over 21 years of data in 23 counties surrounding New York City (NY, USA), we find that health-related business environments change considerably over time. We note that re-geocoding data may improve spatial precision, particularly in early years. Our intent with this paper is to make future public health applications of NETS data more efficient, since the size and complexity of the data can be difficult to exploit fully within its 2-year data-licensing period. Further, standardized approaches to NETS and other "big data" will facilitate the veracity and comparability of results across studies.

Public health research has shown that neighborhood conditions are associated with health behaviors and outcomes. Systematic neighborhood audits have helped researchers measure neighborhood conditions that they deem theoretically relevant but not available in existing administrative data. Systematic audits, however, are expensive to conduct and rarely comparable across geographic regions. We describe the development of an online application, the Computer Assisted Neighborhood Visual Assessment System (CANVAS), that uses Google Street View to conduct virtual audits of neighborhood environments. We use this system to assess the inter-rater reliability of 187 items related to walkability and physical disorder on a national sample of 150 street segments in the United States. We find that many items are reliably measured across auditors using CANVAS and that agreement between auditors appears to be uncorrelated with neighborhood demographic characteristics. Based on our results we conclude that Google Street View and CANVAS offer opportunities to develop greater comparability across neighborhood audit studies., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Neighborhood physical disorder is thought to affect mental and physical health, but it has been difficult to measure objectively and reliably across large geographical areas or multiple locales. Virtual street audits are a novel method for assessing neighborhood characteristics. We evaluated the ecometric properties of a neighborhood physical disorder measure constructed from virtual street audit data. Eleven trained auditors assessed 9 previously validated items developed to capture physical disorder (e.g., litter, graffiti, and abandoned buildings) on 1,826 block faces using Google Street View imagery (Google, Inc., Mountain View, California) dating from 2007-2011 in 4 US cities (San Jose, California; Detroit, Michigan; New York, New York; and Philadelphia, Pennsylvania). We constructed a 2-parameter item response theory scale to estimate latent levels of disorder on each block face and defined a function using kriging to estimate physical disorder levels, with confidence estimates, for any point in each city. The internal consistency reliability of the resulting scale was 0.93. The final measure of disorder was positively correlated with US Census data on unemployment and housing vacancy and negatively correlated with data on owner-occupied housing. These results suggest that neighborhood physical disorder can be measured reliably and validly using virtual audits, facilitating research on possible associations between physical disorder and health., (© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Many small grocery stores or "bodegas" sell prepared or ready-to-eat items, filling a niche in the food environment similar to fast-food restaurants. However, little comparative information is available about the nutrition environments of bodegas and fast-food outlets. This study compared the nutrition environments of bodegas and national chain fast-food restaurants using a common audit instrument, the Nutrition Environment Measures Study in Restaurants (NEMS-R) protocol. The analytic sample included 109 bodegas and 107 fast-food restaurants located in New York City neighborhoods in the upper third and lower third of the census tract poverty rate distribution. Inter-rater reliability was evaluated in 102 food outlets, including 31 from the analytic sample and 71 from a supplementary convenience sample. The analysis compared scores on individual NEMS-R items, a total summary score, and subscores indicating healthy food availability, nutrition information, promotions of healthy or unhealthy eating, and price incentives for healthy eating, using t tests and χ(2) statistics to evaluate differences by outlet type and neighborhood poverty. Fast-food restaurants were more likely to provide nutrition information, and bodegas scored higher on healthy food availability, promotions, and pricing. Bodegas and fast-food restaurants had similar NEMS-R total scores (bodegas 13.09, fast food 14.31; P=0.22). NEMS-R total scores were higher (indicating healthier environments) in low- than high-poverty neighborhoods among both bodegas (14.79 vs 11.54; P=0.01) and fast-food restaurants (16.27 vs 11.60; P<0.01). Results imply different policy measures to improve nutrition environments in the two types of food outlets., (Copyright © 2014 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Neighborhood safety, green space, walkability, and sociodemographics may influence physical activity and childhood obesity., Methods: Data on measured height and weight, demographic characteristics, and home ZIP code were collected from year 2004 enrollees in a means-tested preschool program in New York City. Each ZIP code was surrounded by a 400-m buffer and characterized using data from the US census, local government departments, New York Times website, and Transportation Alternatives. Linear and Poisson models were constructed using cluster robust standard errors and adjusting for child's sex, race, ethnicity, age, and neighborhood characteristics., Results: Analyses included 11,562 children ages 3-5 years living in 160 residential ZIP codes. A higher homicide rate (at the 75th vs 25th percentile) was associated with a 22% higher prevalence of obesity (95% CI for the prevalence ratio (PR): 1.05 to 1.41). A higher density of street trees (at the 75th vs 25th percentile) was associated with 12% lower prevalence of obesity (95% CI for the PR: 0.79 to 0.99). Other neighborhood characteristics did not have significant associations with childhood obesity., Conclusions: Among preschool children from low-income families, neighborhood homicide rate was associated with more obesity and street tree density was associated with less obesity., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Policies target fast food outlets to curb adolescent obesity. We argue that researchers should examine the entire retail ecology of neighborhoods, not just fast food outlets. We examine the association between the neighborhood retail environment and obesity using Fitnessgram data collected from 94,348 New York City public high school students. In generalized hierarchical linear models, the number of fast food restaurants predicted lower odds of obesity for adolescents (OR:0.972 per establishment; CI:0.957-0.988). In a "placebo test" we found that banks--a measure of neighborhood retail ecology--also predicted lower obesity (OR:0.979 per bank; CI:0.962-0.994). Retail disinvestment might be associated with greater obesity; accordingly, public health research should study the influence of general retail disinvestment not just food-specific investment., (© 2013 Elsevier Ltd. All rights reserved.)

The aim of this study is to determine whether access to fast food outlets and supermarkets is associated with overweight and obesity in New York City neighborhoods. We use a Bayesian ecologic approach for spatial prediction. Consistent with prior research, we find no association between fast food density and overweight or obesity. Consistent with prior research, we find that supermarket access has a salutary impact on overweight and obesity. Given the lack of empirical evidence linking fast food retailers with adverse health outcomes, policymakers should be encouraged to adopt policies that incentivize the establishment of supermarkets and the modification of existing food store markets and retailers to offer healthier choices. Reaching within neighborhoods and modifying the physical environment and public health prevention and intervention efforts based on the characteristics of those neighborhoods may play a key role in creating healthier communities.

Purpose: Higher socioeconomic status (SES) men are at higher risk of prostate cancer (PCa) diagnosis, an association commonly interpreted as a function of higher rates of prostate screening among higher SES men. However, the extent to which screening explains this association has not been well quantified., Methods: Within a Detroit area cohort of 6,692 men followed up after a benign prostate procedure, a case-control study was conducted of 494 PCa cases and controls matched on age, race, duration of follow-up, and date of initial benign finding; 2000 Census data were used in a principal component analysis to derive a single factor, labeled the neighborhood SES index (NSESI), representing zip code-level SES., Results: Among cases, higher SES was associated with a younger age at initial biopsy: -1.48 years (95 % CI, -2.32, -0.64) per unit NSESI. After adjustment for confounders and duration of follow-up, higher SES was associated with more PSA tests and DRE during follow-up; 9 % (95 % CI, 2, 16) and 8 % (95 % CI, 1, 15) more respectively, per unit NSESI. Higher SES was associated with a higher risk of PCa diagnosis during follow-up, multivariable adjusted OR = 1.26 per unit increase in NSESI (95 % CI, 1.04, 1.49). Further adjustment for screening frequency somewhat reduced the association between SES and PCa risk (OR = 1.19 per unit NSESI, 95 % CI, 0.98, 1.44)., Conclusions: Differences in screening frequency only partially explained the association between higher zip code SES and PCa risk; other health care-related factors should also be considered as explanatory factors.

Background: One strategy to address health problems related to insufficient physical activity is to examine modifiable neighborhood characteristics associated with active transportation., Purpose: The aim of this study is to evaluate whether neighborhoods with more aesthetic amenities (sidewalk cafés, street trees, and clean sidewalks) and fewer safety hazards (pedestrian-auto fatalities and homicides) are associated with active transportation., Methods: The 2003 Community Health Survey in New York City, which asked about active transportation (walking or bicycling >10 blocks) in the past 30 days, was linked to ZIP-code population census and built environment characteristics. Adjusted associations were estimated for dichotomous (any active transportation versus none) and continuous (trip frequency) active transportation outcomes., Results: Among 8,034 adults, those living near sidewalk cafés were 10 % more likely to report active transportation (p = 0.01). Homicide rate was associated with less frequent active transportation among those reporting any active transportation (p = 0.002)., Conclusions: Investments in aesthetic amenities or homicide prevention may help to promote active transportation.

Preventing sedentary behavior and adiposity in childhood has become a public health priority. We examined urban social and built environment characteristics as correlates of physical activity and anthropometry among 428 preschool children from low-income families in New York City. We measured the children's height, weight, skinfold thicknesses, physical activity by accelerometer, and covariates. We geocoded home and Head Start center addresses and estimated the following for an area within 0.5 km of those two locations using a detailed geographic database: neighborhood composition, walkability, crime and traffic safety, and aesthetic characteristics. Generalized estimating equations were used to examine the associations of area characteristics with physical activity or adiposity, adjusted for characteristics of the child, mother, and home. Participants were 2-5 years old, 53% female, 83% Hispanic, and 43% either overweight or obese. Of the walkability indicators, land use mix was associated with physical activity (26 more activity counts/minute per standard deviation increase in mixed land use, p = 0.015) and subway stop density was associated with adiposity (1.2 mm smaller sums of skinfold thicknesses sum per standard deviation increase in subway stop density, p = 0.001). The pedestrian-auto injury rate, an indicator of traffic safety problems, was associated with physical activity and adiposity (16 fewer activity counts/minute, p = 0.033, and 1.0 mm greater skinfold thickness per standard deviation increase in pedestrian-auto injuries, p = 0.018). Children living in areas with more street trees were more physically active and those living in areas with more park access had smaller skinfolds. However, many of the tested associations were not statistically significant and some trends were not in the hypothesized direction. Efforts to enhance walkability, safety, and green spaces in the local environment may be relevant to physical activity and adiposity, and therefore to the health of preschool-aged children from low-income families.

With increasing concern about rising rates of obesity, public health researchers have begun to examine the availability of parks and other spaces for physical activity, particularly in cities, to assess whether access to parks reduces the risk of obesity. Much of the research in this field has shown that proximity to parks may support increased physical activity in urban environments; however, as yet, there has been limited consideration of environmental impediments or disamenities that might influence individuals' perceptions or usage of public recreation opportunities. Prior research suggests that neighborhood disamenities, for instance crime, pedestrian safety, and noxious land uses, might dissuade people from using parks or recreational facilities and vary by neighborhood composition. Motivated by such research, this study estimates the relationship between neighborhood compositional characteristics and measures of park facilities, controlling for variation in neighborhood disamenities, using geographic information systems (GIS) data for New York City parks and employing both kernel density estimation and distance measures. The central finding is that attention to neighborhood disamenities can appreciably alter the relationship between neighborhood composition and spatial access to parks. Policy efforts to enhance the recreational opportunities in urban areas should expand beyond a focus on availability to consider also the hazards and disincentives that may influence park usage.

Background: Research indicates that neighborhood environment characteristics such as physical disorder influence health and health behavior. In-person audit of neighborhood environments is costly and time-consuming. Google Street View may allow auditing of neighborhood environments more easily and at lower cost, but little is known about the feasibility of such data collection., Purpose: To assess the feasibility of using Google Street View to audit neighborhood environments., Methods: This study compared neighborhood measurements coded in 2008 using Street View with neighborhood audit data collected in 2007. The sample included 37 block faces in high-walkability neighborhoods in New York City. Field audit and Street View data were collected for 143 items associated with seven neighborhood environment constructions: aesthetics, physical disorder, pedestrian safety, motorized traffic and parking, infrastructure for active travel, sidewalk amenities, and social and commercial activity. To measure concordance between field audit and Street View data, percentage agreement was used for categoric measures and Spearman rank-order correlations were used for continuous measures., Results: The analyses, conducted in 2009, found high levels of concordance (≥80% agreement or ≥0.60 Spearman rank-order correlation) for 54.3% of the items. Measures of pedestrian safety, motorized traffic and parking, and infrastructure for active travel had relatively high levels of concordance, whereas measures of physical disorder had low levels. Features that are small or that typically exhibit temporal variability had lower levels of concordance., Conclusions: This exploratory study indicates that Google Street View can be used to audit neighborhood environments., (Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Studies of the food environment near schools have focused on fast food. Research is needed that describes patterns of exposure to a broader range of food outlet types and that examines the influence of neighborhood built environments., Purpose: Using data for New York City, this paper describes the prevalence of five different food outlet types near schools, examines disparities by economic status and race/ethnicity in access to these food outlets, and evaluates the extent to which these disparities are explained by the built environment surrounding the school., Methods: National chain and local fast-food restaurants, pizzerias, small grocery stores ("bodegas"), and convenience stores within 400 m of public schools in New York City were identified by matching 2005 Dun & Bradstreet data to 2006-2007 school locations. Associations of student poverty and race/ethnicity with food outlet density, adjusted for school level, population density, commercial zoning, and public transit access, were evaluated in 2009 using negative binomial regression., Results: New York City's public school students have high levels of access to unhealthy food near their schools: 92.9% of students had a bodega within 400 m, and pizzerias (70.6%); convenience stores (48.9%); national chain restaurants (43.2%); and local fast-food restaurants (33.9%) were also prevalent within 400 m. Racial/ethnic minority and low-income students were more likely to attend schools with unhealthy food outlets nearby. Bodegas were the most common source of unhealthy food, with an average of nearly ten bodegas within 400 m, and were more prevalent near schools attended by low-income and racial/ethnic minority students; this was the only association that remained significant after adjustment for school and built-environment characteristics., Conclusions: Nearly all New York City public school students have access to inexpensive, energy-dense foods within a 5-minute walk of school. Low-income and Hispanic students had the highest level of exposure to the food outlets studied here., (2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Public health researchers have begun to map the neighborhood “food environment” and examine its association with the risk of overweight and obesity. Some argue that “food deserts”—areas with little or no provision of fresh produce and other healthy food—may contribute to disparities in obesity, diabetes, and related health problems. While research on neighborhood food environments has taken advantage of more technically sophisticated ways to assess distance and density, in general, it has not considered how individual or neighborhood conditions might modify physical distance and thereby affect patterns of spatial accessibility. This study carried out a series of sensitivity analyses to illustrate the effects on the measurement of disparities in food environments of adjusting for cross-neighborhood variation in vehicle ownership rates, public transit access, and impediments to pedestrian travel, such as crime and poor traffic safety. The analysis used geographic information systems data for New York City supermarkets, fruit and vegetable markets, and farmers' markets and employed both kernel density and distance measures. We found that adjusting for vehicle ownership and crime tended to increase measured disparities in access to supermarkets by neighborhood race/ethnicity and income, while adjusting for public transit and traffic safety tended to narrow these disparities. Further, considering fruit and vegetable markets and farmers' markets, as well as supermarkets, increased the density of healthy food outlets, especially in neighborhoods with high concentrations of Hispanics, Asians, and foreign-born residents and in high-poverty neighborhoods.

Studies relating urban design to health have been impeded by the unfeasibility of conducting field observations across large areas and the lack of validated objective measures of urban design. This study describes measures for five dimensions of urban design - imageability, enclosure, human scale, transparency, and complexity - created using public geographic information systems (GIS) data from the US Census and city and state government. GIS measures were validated for a sample of 588 New York City block faces using a well-documented field observation protocol. Correlations between GIS and observed measures ranged from 0.28 to 0.89. Results show valid urban design measures can be constructed from digital sources.

Background: Differences in the neighborhood food environment may contribute to disparities in obesity., Objectives: The purpose of this study was to examine the association of neighborhood food environments with body mass index (BMI) and obesity after control for neighborhood walkability., Methods: This study employed a cross-sectional, multilevel analysis of BMI and obesity among 13,102 adult residents of New York City. We constructed measures of the food environment and walkability for the neighborhood, defined as a half-mile buffer around the study subject's home address., Results: Density of BMI-healthy food outlets (supermarkets, fruit and vegetable markets, and natural food stores) was inversely associated with BMI. Mean adjusted BMI was similar in the first two quintiles of healthy food density (0 and 1.13 stores/km2, respectively), but declined across the three higher quintiles and was 0.80 units lower [95% confidence interval (CI), 0.27-1.32] in the fifth quintile (10.98 stores/km2) than in the first. The prevalence ratio for obesity comparing the fifth quintile of healthy food density with the lowest two quintiles combined was 0.87 (95% CI, 0.78-0.97). These associations remained after control for two neighborhood walkability measures, population density and land-use mix. The prevalence ratio for obesity for the fourth versus first quartile of population density was 0.84 (95% CI, 0.73-0.96) and for land-use mix was 0.91 (95% CI, 0.86-0.97). Increasing density of food outlets categorized as BMI-unhealthy was not significantly associated with BMI or obesity., Conclusions: Access to BMI-healthy food stores is associated with lower BMI and lower prevalence of obesity.

Objectives: We sought to test whether the association between walkable environments and lower body mass index (BMI) was stronger within disadvantaged groups that may be particularly sensitive to environmental constraints., Methods: We measured height and weight in a diverse sample of 13 102 adults living throughout New York City from 2000-2002. Each participant's home address was geocoded and surrounded by a circular buffer with a 1-km radius. The composition and built environment characteristics of these areas were used to predict BMI through the use of generalized estimating equations. Indicators of individual or area disadvantage included low educational attainment, low household income, Black race, and Hispanic ethnicity., Results: Higher population density, more mixed land use, and greater transit access were most consistently associated with a lower BMI among those with more education or higher incomes and among non-Hispanic Whites. Significant interactions were observed for education, income, race, and ethnicity., Conclusions: Contrary to expectations, built environment characteristics were less consistently associated with BMI among disadvantaged groups. This pattern may be explained by other barriers to maintaining a healthy weight encountered by disadvantaged groups.

Although many low-income urban areas are highly walkable by conventional measures such as population density or land use mix, chronic diseases related to lack of physical activity are more common among residents of these areas. Disparities in neighborhood conditions may make poor areas less attractive environments for walking, offsetting the advantages of density and land use mix. This study compared poor and nonpoor neighborhoods in New York City, using geographic information systems measures constructed from public data for US census tracts within New York City (N=2,172) as well as field observation of a matched-pair sample of 76 block faces on commercial streets in poor and nonpoor neighborhoods. Poor census tracts had significantly fewer street trees, landmarked buildings, clean streets, and sidewalk cafes, and higher rates of felony complaints, narcotics arrests, and vehicular crashes. The field observation showed similar results. Improving aesthetic and safety conditions in poor neighborhoods may help reduce disparities in physical activity among urban residents.

Background: The prevalence of childhood asthma in the USA increased by 50% from 1980 to 2000, with especially high prevalence in poor urban communities., Methods: Data on the prevalence of asthma among children aged 4-5 years and on hospitalisations for asthma among children less than 15 years old were available for 42 health service catchment areas within New York City. Street tree counts were provided by the New York City Department of Parks and Recreation. The proximity to pollution sources, sociodemographic characteristics and population density for each area were also measured., Results: Controlling for potential confounders, an increase in tree density of 1 standard deviation (SD, 343 trees/km(2)) was associated with a lower prevalence of asthma (RR, 0.71 per SD of tree density; 95% CI, 0.64 to 0.79), but not with hospitalisations for asthma (RR, 0.89 per SD of tree density; 95% CI, 0.75 to 1.06)., Conclusions: Street trees were associated with a lower prevalence of early childhood asthma. This study does not permit inference that trees are causally related to asthma at the individual level. The PlaNYC sustainability initiative, which includes a commitment to plant one million trees by the year 2017, offers an opportunity for a large prospective evaluation.

Background: Past research has suggested that changes in culture explain the substantial weight gain seen in many immigrant groups with length of residence in the U.S. and across generations of residence in the U.S. However, it has been theorized that those settling in immigrant and co-ethnic neighborhoods may be buffered against this acculturative process and will be more likely to maintain home country dietary and physical activity patterns. To investigate this theory we incorporated measures of neighborhood immigrant composition into analyses of individual's body mass index (BMI) and generation of immigration and duration of residence in the U.S., Methods: Multilevel analyses were performed using objectively measured height and weight and survey data on diet and physical activity from a sample of 13,011 residents of New York City. Census data were used to calculate the proportion of foreign-born residents and extent of household linguistic isolation in a (1/2) mile radial buffer around the subject's home., Results: Foreign birth was associated with a significantly lower BMI (-1.09 BMI units, P < 0.001). This association was weakest among Asians (-0.66 BMI units, P = 0.08) and strongest among Black-Caribbeans (-1.41 BMI units, P = 0.07). After controlling for individual level variables, neighborhood proportion foreign-born was not associated with BMI, but increasing neighborhood linguistic isolation was inversely associated with BMI among Hispanics (-2.97 BMI units, P = 0.03). Furthermore among Hispanics, the association between foreign birth and BMI was stronger in low linguistic isolation neighborhoods (-1.36 BMI units, P < 0.0001) as compared to in high linguistic isolation levels (-0.42 BMI units, P = 0.79). Increasing duration of residence in the U.S. was significantly associated with higher BMI overall and among Hispanics., Conclusion: The analyses suggest that acculturation is associated with weight gain, and that neighborhood characteristics are only associated with BMI among Hispanics. However, we suggest that changes in body size currently interpreted as post-migration effects of acculturation to U.S. norms may in fact reflect changes in norms that are taking place internationally.

Purpose: To examine whether urban form is associated with body size within a densely-settled city., Design: Cross-sectional analysis using multilevel modeling to relate body mass index (BMI) to built environment resources., Setting: Census tracts (n = 1989) within the five boroughs of New York City., Subjects: Adult volunteers (n = 13,102) from the five boroughs of New York City recruited between January 2000 and December 2002., Measures: The dependent variable was objectively-measured BMI. Independent variables included land use mix; bus and subway stop density; population density; and intersection density. Covariates included age, gender, race, education, and census tract-level poverty and race/ethnicity., Analysis: Cross-sectional multilevel analyses., Results: Mixed land use (Beta = -.55, p < .01), density of bus stops (Beta = -.01, p < .01) and subway stops (Beta = -.06, p < .01), and population density (Beta = -.25, p < .001), but not intersection density (Beta = -. 002) were significantly inversely associated with BMI after adjustmentfor individual- and neighborhood-level sociodemographic characteristics. Comparing the 90th to the 10th percentile of each built environment variable, the predicted adjusted difference in BMI with increased mixed land use was -. 41 units, with bus stop density was -.33 units, with subway stop density was -.34 units, and with population density was -.86 units., Conclusion: BMI is associated with built environment characteristics in New York City.

Many Medicaid policy changes occurred in recent years including those resulting from the Omnibus Budget Reconciliation Act of 1981 and the Tax Equity and Fiscal Responsibility Act of 1982. At the same time, the supply of providers increased and the health care market became more competitive. This paper presents evidence about how these developments are affecting pediatricians' participation in state Medicaid programs. Surveys conducted in 1978 (N = 814) and 1983 (N = 791) indicate that the proportion participating declined only slightly from 85.1% to 82.0%. The average Medicaid case load of participants remained at 15%, although extent of participation of individual pediatricians fluctuated. Previous research demonstrates that physicians' Medicaid participation is affected by reimbursement level, administrative complexity, and generosity of eligibility and benefits. Our data confirm these influences. However, the longitudinal design of the analyses reported here also captures shifts in the relative influence of these factors. The influence of policy factors has diminished over time, while the influence of changes in physician supply has increased. Increased physician supply, however, is associated with decreased Medicaid participation. Thus, diminished access to pediatric care for low-income children may result from recent changes in Medicaid and in the broader health care environment.

Although most primary care physicians participate in state Medicaid programs, they may accept all Medicaid patients, or they may choose to limit their participation. This decision allows physicians to adjust their Medicaid caseloads to a desired level, and it has important implications for the access of low-income patients to health care. Surveys of pediatricians in 1978 and 1983 indicate that the proportion of pediatricians limiting their Medicaid participation increased significantly from 26 percent to 35 percent (p less than .001). In addition, in both 1978 and 1983, limited participants saw significantly fewer Medicaid patients than full participants. This paper describes a number of strategies available to federal and state policymakers for fostering full Medicaid participation. Multivariate analyses indicate that increasing reimbursement levels is an important strategy for encouraging full Medicaid participation. In addition, full participants will increase their Medicaid caseloads in response to a variety of Medicaid policy incentives, while limited participants are found to respond to fewer policy incentives. The authors conclude that caution will be needed to ensure that health care cost-containment strategies such as capitation or selective contracting do not inadvertently discourage participation among both full and limited Medicaid participants.