Racial/ethnic disparities in exposure to COVID-19, susceptibility to COVID-19 and access to health care - findings from a U.S. national cohort.

We examined the influence of racial/ethnic differences in socioeconomic position on COVID-19 seroconversion and hospitalization within a community-based prospective cohort enrolled in March 2020 and followed through October 2021 (N=6740). The ability to social distance as a measure of exposure to COVID-19, susceptibility to COVID-19 complications, and access to healthcare varied by race/ethnicity with non-white participants having more exposure risk and more difficulty with healthcare access than white participants. Participants with more (versus less) exposure had greater odds of seroconversion (aOR:1.64, 95% Confidence Interval [CI] 1.18-2.29). Participants with more susceptibility and more barriers to healthcare had greater odds of hospitalization (respective aOR:2.36; 1.90-2.96 and 2.31; 1.69-2.68). Race/ethnicity positively modified the association between susceptibility and hospitalization (aORnon-White:2.79, 2.06-3.78). Findings may explain the disproportionate burden of COVID-19 infections and complications among Hispanic and non-Hispanic Black persons. Primary and secondary prevention efforts should address disparities in exposure, COVID-19 vaccination, and treatment.

Public restrooms, periods, and people experiencing homelessness: An assessment of public toilets in high needs areas of Manhattan, New York.

Access to safe, clean water and sanitation is globally recognized as essential for public health. Public toilets should be accessible to all members of a society, without social or physical barriers preventing usage. A public toilet facility's design and upkeep should offer privacy and safety, ensure cleanliness, provide required sanitation-related resources, and be gender equitable, including enabling comfortable and safe management of menstruation. Menstrual hygiene management (MHM) refers to the need to ensure that girls, women and all people who menstruate have access to clean menstrual products, privacy to change the materials as often as needed, soap and water for washing the body as required, and access to facilities to dispose of used materials. Challenges around menstruation faced by people experiencing homelessness, which tend to be greater than those facing the general population, include inadequate toilet and bathing facilities, affordability issues around menstrual products, and menstrual stigma. Public toilets are a vital resource for managing menstruation, particularly for vulnerable populations without reliable access to private, safe, and clean spaces and menstrual products. This mixed-methods study sought to: 1) understand the lived experiences of MHM among people experiencing homelessness in New York City with respect to public toilets; 2) describe general and MHM-related characteristics of public toilets in high need areas of Manhattan and analyze their interrelationships; and 3) examine the associations among neighborhood-level demographics and the public toilet characteristics in those areas. Qualitative methods included key informant interviews (n = 15) and in-depth interviews (n = 22) with people with experience living on the street or in shelters, which were analyzed using Malterud's 'systematic text condensation' for thematic cross-case analysis. Quantitative methods included audits and analyses of public toilet facilities (n = 25) using traditional statistics (e.g., Spearman's correlations) and spatial analyses (e.g., proximity buffers). Qualitative findings suggest cleanliness, access to restrooms, and availability of resources are critical issues for the participants or prospective users. Quantitative analyses revealed insufficiently provided, maintained, and resourced public toilets for managing menstruation in high-needs areas. Findings also suggest that toilets with more MHM-related resource availability, such as menstrual products and toilet stall disposal bins, were more difficult to access. Neighborhood-level characteristics showed a potential environmental injustice, as areas characterized by higher socioeconomic status are associated with more access to MHM-specific resources in public restrooms, as well as better overall quality.

Healthful and less-healthful foods and drinks from storefront and non-storefront businesses: implications for 'food deserts', 'food swamps' and food-source disparities.

OBJECTIVE: Conceptualisations of 'food deserts' (areas lacking healthful food/drink) and 'food swamps' (areas overwhelm by less-healthful fare) may be both inaccurate and incomplete. Our objective was to more accurately and completely characterise food/drink availability in urban areas. DESIGN: Cross-sectional assessment of select healthful and less-healthful food/drink offerings from storefront businesses (stores, restaurants) and non-storefront businesses (street vendors). SETTING: Two areas of New York City: the Bronx (higher-poverty, mostly minority) and the Upper East Side (UES; wealthier, predominantly white). PARTICIPANTS: All businesses on 63 street segments in the Bronx (n 662) and on 46 street segments in the UES (n 330). RESULTS: Greater percentages of businesses offered any, any healthful, and only less-healthful food/drink in the Bronx (42·0 %, 37·5 %, 4·4 %, respectively) than in the UES (30 %, 27·9 %, 2·1 %, respectively). Differences were driven mostly by businesses (e.g. newsstands, gyms, laundromats) not primarily focused on selling food/drink - 'other storefront businesses' (OSBs). OSBs accounted for 36·0 % of all food/drink-offering businesses in the Bronx (more numerous than restaurants or so-called 'food stores') and 18·2 % in the UES (more numerous than 'food stores'). Differences also related to street vendors in both the Bronx and the UES. If street vendors and OSBs were not captured, the missed percentages of street segments offering food/drink would be 14·5 % in the Bronx and 21·9 % in the UES. CONCLUSIONS: Of businesses offering food/drink in communities, OSBs and street vendors can represent substantial percentages. Focusing on only 'food stores' and restaurants may miss or mischaracterise 'food deserts', 'food swamps', and food/drink-source disparities between communities.

Government data v. ground observation for food-environment assessment: businesses missed and misreported by city and state inspection records.

OBJECTIVE: To assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks. DESIGN: Agreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be 'strict' (by business name, e.g. 'Rizzo's') or 'lenient' (by business type, e.g. 'pizzeria'); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments. SETTING: The Bronx and the Upper East Side (UES), New York City, USA. PARTICIPANTS: All food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES). RESULTS: By 'strict' criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. 'Lenient' values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; 'food stores'; and government-recognized other storefront businesses ('gov. OSB', i.e. dollar stores, gas stations, pharmacies). Additional business categories - 'other OSB' (barbers, laundromats, newsstands, etc.) and street vendors - were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES ('other OSB' and street vendors were sources of both healthful and less-healthful foods/drinks in both areas). CONCLUSIONS: Government records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.

The association between county-level safety net treatment access and opioid hospitalizations and mortality in New York.

BACKGROUND: Increases in pharmaceutical opioid sales have paralleled the quadrupling of prescription opioid overdose deaths and spikes in emergency department visits for non-medical opioid prescription overdoses. In response, federal and state governments have advanced a myriad of policies to reduce opioid availability and increase treatment access, aimed to ultimately reduce opioid-related mortality. Despite these efforts, including ACA Medicaid expansion and more robust prescription drug monitoring programs, opioid-related mortality has continued to rise in NY and 29 other states. This study examined whether geographic access to Federally Qualified Health Centers, opioid treatment programs, and buprenorphine providers mitigated opioid-related hospital visits (emergency department, inpatient, and all visits) and mortality, by county, between 2012 and 2014. METHODS: The authors examined the relationships among opioid-related health outcomes and geographic access to treatment options using spatial error regression models at the county (n = 62) level in 2012 and 2014. Z-tests further assessed significant differences in access coefficients between 2012 and 2014. RESULTS: Of the 62 counties in New York State in 2014, 54 (87.1%) showed increased opioid overdose-related emergency department rates (t = 9.125, p < 0.001), and 37 (59.7%) showed mortality rate increases (t = 1.687, p < 0.1), compared to 2012. Regression models demonstrated significant negative relationships between county-level opioid-related mortality rates and geographic access to opioid treatment programs, Federally Qualified Health Centers in both 2012 and 2014 and buprenorphine providers concentration in 2014 while adjusting for county socio-demographics (all p values < 0.05). Access coefficients were not significantly different between 2012 and 2014 (p > 0.05). CONCLUSIONS: Greater geographic access to treatment services was protective against opioid-related mortality. Access to opioid treatment may not be sufficient to mitigate opioid-related hospital visits or mortality, but may offset climbing mortality rates in select counties.

The Influence of Tobacco Retailer Density and Poverty on Tobacco Use in a Densely Populated Urban Environment.

OBJECTIVES: Researchers have identified associations between neighborhood-level factors (eg, income level, tobacco retailer density) and smoking behavior, but few studies have assessed these factors in urban environments. We explored the effect of tobacco retailer density, neighborhood poverty, and housing type (multiunit and public) on smoking in a large urban environment (New York City). METHODS: We used data on smoking prevalence and individual sociodemographic characteristics from the 2011-2013 New York City Community Health Survey, data on tobacco retailers from the 2012 New York City Department of Consumer Affairs, data on neighborhood sociodemographic characteristics and population density from the 2009-2013 American Community Survey, and data on multiunit and public housing from the 2012 New York City Primary Land Use Tax Lot Output data set. We used aggregate neighborhood-level variables and ordinary least squares regression, geographic weighted regression, and multilevel models to assess the effects of tobacco retailer density and neighborhood poverty on smoking prevalence, adjusting for sociodemographic characteristics (age, sex, race/ethnicity, and education) and neighborhood population density. We also assessed interactions between tobacco retailer density and poverty and each housing type on smoking. RESULTS: Neighborhood poverty positively and significantly modified the association between tobacco retailer density and prevalence of neighborhood smoking ( ß = 0.003, P = .01) when we controlled for population density, sociodemographic characteristics, and types of housing. Neighborhood poverty was positively associated with the prevalence of individual smoking ( ß = 0.0099, P < .001) when we adjusted for population density, sociodemographic characteristics, and type of housing. CONCLUSION: More research is needed to determine all the environmental factors associated with smoking prevalence in a densely populated urban environment.

Unreliable and Difficult-to-Access Food for Those in Need: A Qualitative and Quantitative Study of Urban Food Pantries.

For individuals who are food insecure, food pantries can be a vital resource to improve access to adequate food. Access to adequate food may be conceptualized within five dimensions: availability (item variety), accessibility (e.g., hours of operation), accommodation (e.g., cultural sensitivity), affordability (costs, monetary or otherwise), and acceptability (e.g., as related to quality). This study examined the five dimensions of access in a convenience sample of 50 food pantries in the Bronx, NY. The design was cross-sectional. Qualitative data included researcher observations and field notes from unstructured interviews with pantry workers. Quantitative data included frequencies for aspects of food access, organized by the five access dimensions. Inductive analysis of quantitative and qualitative data revealed three main inter-related findings: (1) Pantries were not reliably open: only 50% of pantries were open during hours listed in an online directory (several had had prolonged or indefinite closures); (2) Even when pantries were open, all five access dimensions showed deficiencies (e.g., limited inventory, few hours, pre-selected handouts without consideration of preferences, opportunity costs, and inferior-quality items); (3) Open pantries frequently had insufficient food supply to meet client demand. To deal with mismatch between supply and demand, pantries developed rules for food provision. Rules could break down in cases of pantries receiving food deliveries, leading to workarounds, and in cases of compelling client need, leading to exceptions. Adherence to rules, versus implementation of workarounds and/or exceptions, was worker- and situation-dependent and, thus, unpredictable. Overall, pantry food provision was unreliable. Future research should explore clients' perception of pantry access considering multiple access dimensions. Future research should also investigate drivers of mismatched supply and demand to create more predictable, reliable, and adequate food provision.

Foods and Drinks Available from Urban Food Pantries: Nutritional Quality by Item Type, Sourcing, and Distribution Method.

The overall nutritional quality of foods/drinks available at urban food pantries is not well established. In a study of 50 pantries listed as operating in the Bronx, NY, data on food/drink type (fresh, shelf-stable, refrigerated/frozen) came from direct observation. Data on food/drink sourcing (food bank or other) and distribution (prefilled bag vs. client choice for a given client's position in line) came from semi-structured interviews with pantry workers. Overall nutritional quality was determined using NuVal® scores (range 1-100; higher score indicates higher nutritional quality). Twenty-nine pantries offered zero nutrition at listed times (actually being closed or having no food/drinks in stock). Of the 21 pantries that were open as listed and had foods/drinks to offer, 12 distributed items in prefilled bags (traditional pantries), 9 allowed for client choice. Mean NuVal® scores were higher for foods/drinks available from client-choice pantries than traditional pantries (69.3 vs. 57.4), driven mostly by sourcing fresh items (at 28.3% of client-choice pantries vs. 4.8% of traditional pantries). For a hypothetical 'balanced basket' of one of each fruit, vegetable, grain, dairy and protein item, highest-NuVal® items had a mean score of 98.8 across client-choice pantries versus 96.6 across traditional pantries; lowest-NuVal® items had mean scores of 16.4 and 35.4 respectively. Pantry workers reported lower-scoring items (e.g., white rice) were more popular-appeared in early bags or were selected first-leaving higher-scoring items (e.g., brown rice) for clients later in line. Fewer than 50% of sampled pantries were open and had food/drink to offer at listed times. Nutritional quality varied by item type and sourcing and could also vary by distribution method and client position in line. Findings suggest opportunities for pantry operation, client and staff education, and additional research.

Occupational Groups and Environmental Justice: A Case Study in the Bronx, New York.

We used spatial analyses to examine exposure of people in vulnerable occupational groups to neighborhood-level environmental pollutants in the Bronx borough of New York City. Five-year estimates of environmental ambient exposures (derived from land use regression models for PM2.5 [particulate matter with an aerodynamic diameter ≤2.5 µm] and black carbon) and demographic and occupational variables were harmonized at the census tract level. Correlations revealed that areas with high environmental exposures also had high proportions of people in service industries and manufacturing and high proportions of socioeconomically vulnerable populations. This combination of vulnerabilities may be cumulative, suggesting residents could have high occupational and residential exposures in addition to sociodemographic-related inequity.

Brownfields to Greenfields: Environmental Justice Versus Environmental Gentrification.

Gentrification is a growing concern in many urban areas, due to the potential for displacement of lower-income and other vulnerable populations. This process can be accelerated when neighborhood "greening" projects are undertaken via governmental or private investor efforts, resulting in a phenomenon termed environmental or "green" gentrification. Vacant land in lower-income areas is often improved by the existing community through the creation of community gardens, but this contributes to these greening efforts and paradoxically may spur gentrification and subsequent displacement of the gardens' stewards and neighbors. "Is proximity to community gardens in less affluent neighborhoods associated with an increased likelihood of gentrification?" Using Brooklyn, New York as a case study, we examined this question using Geographic Information Systems and two spatial methods: a census block group proximity analysis, and a hot spot analysis, to determine the potential impact of proximity to community gardens in lower-income areas. The results of the analyses suggest that proximity to community gardens is associated with significant increases in per capita income over the five years study period, which is indicative of areas undergoing gentrification. This has implications for environmental justice because existing lower-income residents are likely to be displaced after their community is improved environmentally.

Unhealthful Food-and-Beverage Advertising in Subway Stations: Targeted Marketing, Vulnerable Groups, Dietary Intake, and Poor Health.

Unhealthful food-and-beverage advertising often targets vulnerable groups. The extent of such advertising in subway stations has not been reported and it is not clear how ad placement may relate to subway ridership or community demographics, or what the implications might be for diets and diet-related health in surrounding communities. Riding all subway lines (n = 7) in the Bronx, NY, USA, investigators systematically assessed all print ads (n = 1586) in all stations (n = 68) in 2012. Data about subway ridership came from the Metropolitan Transportation Authority. Demographic data on surrounding residential areas came from the U.S. Census Bureau. Data on dietary intake and diet-related conditions came from a city health-department survey. There were no ads promoting "more-healthful" food-or-beverage items (i.e., fruits, vegetables, whole grains, nuts, water or milk). There were many ads for "less-healthful" items (e.g., candies, chips, sugary cereals, frozen pizzas, "energy" drinks, coffee confections, hard alcohol, and beer). Ad placement did not relate to the number of riders entering at stations. Instead, exposure to food-or-beverage ads generally, and to "less-healthful" ads particularly (specifically ads in Spanish, directed at youth, and/or featuring minorities), was directly correlated with poverty, lower high-school graduation rates, higher percentages of Hispanics, and/or higher percentages of children in surrounding residential areas. Correlations were robust to sensitivity analyses. Additional analyses suggested correlations between ad exposures and sugary-drink consumption, fruit-and-vegetable intake, and diabetes, hypertension, and high-cholesterol rates. Subway-station ads for "less-healthful" items were located disproportionately in areas home to vulnerable populations facing diet and diet-related-health challenges. The fact that uneven ad placement did not relate to total rider counts suggests ads were not directed at the largest possible audiences but rather targeted to specific groups.

Integrating Social Determinants of Health With Treatment and Prevention: A New Tool to Assess Local Area Deprivation.

We assessed the appropriate geographic scale to apply an area deprivation index (ADI), which reflects a geographic area's level of socioeconomic deprivation and is associated with health outcomes, to identify and screen patients for social determinants of health. We estimated the relative strength of the association between the ADI at various geographic levels and a range of hospitalization rates by using age-adjusted odds ratios in an 8-county region of New York State. The 10-km local ADI estimates had the strongest associations with all hospitalization rates (higher odds ratios) followed by estimates at 20 km, 30 km, and the regional scale. A locally sensitive ADI is an ideal measure to identify and screen for the health care and social services needs and to advance the integration of social determinants of health with clinical treatment and disease prevention.

Urban farmers' markets: accessibility, offerings, and produce variety, quality, and price compared to nearby stores.

Most food-environment research has focused narrowly on select stores and restaurants. There has been comparatively less attention to non-storefront food sources like farmers' markets (FMs), particularly in urban communities. The objective of the present study was to assess FMs' potential contribution to an urban food environment in terms of specific foods offered, and compare FM accessibility as well as produce variety, quality, and price to that of nearby stores. Investigators conducted a detailed cross-sectional assessment of all FMs in Bronx County, NY, and of the nearest store(s) selling produce within a half-mile walking distance (up to two stores per FM). The study included 26 FMs and 44 stores. Investigators assessed accessibility (locations of FMs and stores relative to each other, and hours of operation for each), variety (the number and type of all food items offered at FMs and all fresh produce items offered at stores), quality (where produce items were grown and if they were organic), and price (including any sales prices or promotional discounts). Analyses included frequencies, proportions, and variable distributions, as well as mixed-effect regressions, paired t-tests, and signed rank tests to compare FMs to stores. Geographic information systems (GIS) allowed for mapping of FM and store locations and determining street-network distances between them. The mean distance between FMs and the nearest store selling fresh produce was 0.15 miles (range 0.02-0.36 miles). FMs were open substantially fewer months, days, and hours than stores. FMs offered 26.4 fewer fresh produce items on average than stores (p values <0.02). FM produce items were more frequently local and organic, but often tended toward less-common/more-exotic and heirloom varieties. FMs were more expensive on average (p values <0.001 for pairwise comparisons to stores) - even for more-commonplace and "conventional" produce - especially when discounts or sales prices were considered. Fully, 32.8% of what FMs offered was not fresh produce at all but refined or processed products (e.g., jams, pies, cakes, cookies, donuts, juice drinks). FMs may offer many items not optimal for good nutrition and health, and carry less-varied, less-common fresh produce in neighborhoods that already have access to stores with cheaper prices and overwhelmingly more hours of operation.

Mobile food vendors in urban neighborhoods-implications for diet and diet-related health by weather and season.

This study describes mobile food vendors (street vendors) in Bronx, NY, considering neighborhood-level correlations with demographic, diet, and diet-related health measures from City data. Vendors offering exclusively "less-healthy" foods (e.g., chips, processed meats, sweets) outnumbered vendors offering exclusively "healthier" foods (e.g., produce, whole grains, nuts). Wet days and winter months reduced all vending on streets, but exclusively "less-healthy" vending most. In summer, exclusively "less-healthy" vending per capita inversely correlated with neighborhood-mean fruit-and-vegetable consumption and directly correlated with neighborhood-mean BMI and prevalences of hypertension and hypercholesterolemia (Spearman correlations 0.90-1.00, p values 0.037 to <0.001). In winter, "less-healthy" vending per capita directly correlated with proportions of Hispanic residents and those living in poverty (Spearman correlations 0.90, p values 0.037). Mobile food vending may contribute negatively to urban food-environment healthfulness overall, but exacerbation of demographic, diet, and diet-related health disparities may vary by weather, season, and neighborhood characteristics.

Medication deserts: survey of neighborhood disparities in availability of prescription medications.

BACKGROUND: Only a small amount of research has focused on the relationship between socio-economic status (SES) and geographic access to prescription medications at community pharmacies in North America and Europe. To examine the relationship between a community's socio-economic context and its residents' geographic access to common medications in pharmacies, we hypothesized that differences are present in access to pharmacies across communities with different socio-economic environments, and in availability of commonly prescribed medications within pharmacies located in communities with different socio-economic status. METHODS: We visited 408 pharmacies located in 168 socio-economically diverse communities to assess the availability of commonly prescribed medications. We collected the following information at each pharmacy visited: hours of operation, pharmacy type, in-store medication availability, and the cash price of the 13 most commonly prescribed medications. We calculated descriptive statistics for the sample and fitted a series of hierarchical linear models to test our hypothesis that the in-stock availability of medications differs by the socio-economic conditions of the community. This was accomplished by modeling medication availability in pharmacies on the socio-economic factors operating at the community level in a socio-economically devise urban area. RESULTS: Pharmacies in poor communities had significantly higher odds of medications being out of stock, OR=1.24, 95% CI [1.02, 1.52]. There was also a significant difference in density of smaller, independent pharmacies with very limited stock and hours of operation, and larger, chain pharmacies in poor communities as compared to the middle and low-poverty communities. CONCLUSIONS: The findings suggest that geographic access to a neighborhood pharmacy, the type of pharmacy, and availability of commonly prescribed medications varies significantly across communities. In extreme cases, entire communities could be deemed "medication deserts" because geographic access to pharmacies and the availability of the most prescribed medications within them were very poor. To our knowledge, this study is first to report on the relationship between SES and geographic access to medications using small area econometric analysis techniques. Our findings should be reasonably generalizable to other urban areas in North America and Europe and suggest that more research is required to better understand the relationship of socio-economic environments and access to medications to develop strategies to achieve equitable medication access.

Not Just a Walk in the Park: Methodological Improvements for Determining Environmental Justice Implications of Park Access in New York City for the Promotion of Physical Activity.

The purpose of this study is to test the hypothesis that access to parks in New York City is not equitable across racial and ethnic categories. It builds on previous research that has linked access to parks and open space with increased physical activity, which in turn may reduce the risk for adverse health outcomes related to obesity. Systematic patterns of uneven access to parks might help to explain disparities in these health outcomes across sociodemographic populations that are not fully explained by individual-level risk factors and health behaviors, and therefore access to parks becomes an environmental justice issue. This study is designed to shed light on the "unpatterned inequities" of park distributions identified in previous studies of New York City park access. It uses a combination of network analysis and a cadastral-based expert dasymetric system (CEDS) to estimate the racial/ethnic composition of populations within a reasonable walking distance of 400m from parks. The distance to the closest park, number of parks within walking distance, amount of accessible park space, and number of physical activity sites are then evaluated across racial/ethnic categories, and are compared to the citywide populations using odds ratios. The odds ratios revealed patterns that at first glance appear to contradict the notion of distributional inequities. However, discussion of the results points to the need for reassessing what is meant by "access" to more thoroughly consider the aspects of parks that are most likely to contribute to physical activity and positive health outcomes.

The complexities of measuring access to parks and physical activity sites in New York City: a quantitative and qualitative approach.

BACKGROUND: Proximity to parks and physical activity sites has been linked to an increase in active behaviors, and positive impacts on health outcomes such as lower rates of cardiovascular disease, diabetes, and obesity. Since populations with a low socio-economic status as well as racial and ethnic minorities tend to experience worse health outcomes in the USA, access to parks and physical activity sites may be an environmental justice issue. Geographic Information systems were used to conduct quantitative and qualitative analyses of park accessibility in New York City, which included kernel density estimation, ordinary least squares (global) regression, geographically weighted (local) regression, and longitudinal case studies, consisting of field work and archival research. Accessibility was measured by both density of park acreage and density of physical activity sites. Independent variables included percent non-Hispanic black, percent Hispanic, percent below poverty, percent of adults without high school diploma, percent with limited English-speaking ability, and population density. RESULTS: The ordinary least squares linear regression found weak relationships in both the park acreage density and the physical activity site density models (R(a)(2) = .11 and .23, respectively; AIC = 7162 and 3529, respectively). Geographically weighted regression, however, suggested spatial non-stationary in both models, indicating disparities in accessibility that vary over space with respect to magnitude and directionality of the relationships (AIC = 2014 and -1241, respectively). The qualitative analysis supported the findings of the local regression, confirming that although there is a geographically inequitable distribution of park space and physical activity sites, it is not globally predicted by race, ethnicity, or socio-economic status. CONCLUSION: The combination of quantitative and qualitative analyses demonstrated the complexity of the issues around racial and ethnic disparities in park access. They revealed trends that may not have been otherwise detectable, such as the spatially inconsistent relationship between physical activity site density and socio-demographics. In order to establish a more stable global model, a number of additional factors, variables, and methods might be used to quantify park accessibility, such as network analysis of proximity, perception of accessibility and usability, and additional park quality characteristics. Accurate measurement of park accessibility can therefore be important in showing the links between opportunities for active behavior and beneficial health outcomes.