Associations Between Historical Redlining and Present-Day Heat Vulnerability Housing and Land Cover Characteristics in Philadelphia, PA.

Historical, institutional racism within the housing market may have impacted present-day disparities in heat vulnerability. We quantified associations between historically redlined areas with present-day property and housing characteristics that may enhance heat vulnerability in Philadelphia, PA. We used color-coded Home Owners Loan Corporation (HOLC) maps and tax assessment data to randomly select 100 present-day (2018-2019) residential properties in each HOLC grade area (A = Best; B, C, and D = Most hazardous; N = 400 total). We conducted virtual inventories of the properties using aerial and streetview imagery for land cover and housing characteristics (dark roof color, flat roof shape, low or no mature tree canopy, no recently planted street trees) that may enhance heat vulnerability. We used modified Poisson regression models to estimate associations of HOLC grades with the property characteristics, unadjusted and adjusted for historical and contemporary measures of the neighborhood sociodemographic environment. Compared to grade A areas, higher proportions of properties in grade B, C, and D areas had dark roofs, low/no mature tree canopy, and no street trees. Adjusting for historical sociodemographics attenuated associations, with only associations with low or no tree canopy remaining elevated. Adjusting for present-day concentrated racial and socioeconomic deprivation did not substantially impact overall findings. In Philadelphia, PA, HOLC maps serve as spatial representations of present-day housing and land cover heat vulnerability characteristics. Further analyses incorporating longitudinal data on urban redevelopment, reinvestment, and neighborhood change are needed to more fully represent complex relationships among historical racism, residential segregation, and heat vulnerability.

The Effects of Neighborhood Built Environment on Walking for Leisure and for Purpose Among Older People.

BACKGROUND AND OBJECTIVES: Characteristics of a neighborhood's built environment affect the walking behavior of older people, yet studies typically rely on small nonrepresentative samples that use either subjective reports or aggregate indicators from administrative sources to represent neighborhood characteristics. Our analyses examine the usefulness of a novel method for observing neighborhoods-virtual observations-and assess the extent to which virtual-based observations predict walking among older adults. RESEARCH DESIGN AND METHODS: Using Google Street View, we observed the neighborhoods of 2,224 older people and examined how characteristics of the neighborhood built environments are associated with the amount of time older people spend walking for leisure and purpose. RESULTS: Multilevel model analyses revealed that sidewalk characteristics had significant associations with both walking for purpose and leisure. Land use, including the presence of multifamily dwellings, commercial businesses, and parking lots were positively associated with walking for purpose and single-family detached homes were negatively associated with walking for purpose, but none of these characteristics were associated with leisure walking. Gardens/flowers were associated with walking for leisure but not purpose. Garbage/litter was not associated with either type of walking behavior. DISCUSSION AND IMPLICATIONS: Virtual observations are a useful method that provides meaningful information about neighborhoods. Findings demonstrate how neighborhood characteristics assessed virtually differentially impact walking for leisure and purpose among older adults and are interpreted within a social-ecological model.

Comparison between buprenorphine provider availability and opioid deaths among US counties.

BACKGROUND: Buprenorphine is an effective medication for the treatment of opioid addiction, but current barriers to buprenorphine access limit treatment availability for many patients. We identify and characterize regions within the United States (US) with poor buprenorphine access relative to the observed burden of overdose deaths. METHODS: This cross sectional study includes US county-level data on the number of available buprenorphine providers (Substance Abuse and Mental Health Services Administration Buprenorphine Treatment Practitioner Locator) and the number of opioid-related overdose deaths between 2013 and 2015 (Centers for Disease Control and Prevention WONDER Database). Counties with fewer than 10 deaths during this time period were excluded to maintain patient privacy. Population-adjusted county death rates and provider availability were compared to identify locations with high disease burdens and limited buprenorphine access. The presence of significant clustering across the dataset was evaluated using Global Moran's I and zones of significant spatial clusters and anomalies were identified using Local Indicator of Spatial Autocorrelation. RESULTS: County data were available for 846 counties from 49 states and the District of Columbia, comprising 83% of the US population. The median number of opioid overdose deaths per county was 20.0 deaths per 100,000 residents (interquartile range 13.4-29.9, range 2.9 to 108.8). The number of buprenorphine providers per 100,000 county residents ranged from 0 to 45, with a median of 5.9 (interquartile range 3.2 to 9.5). Global Moran's I analysis yielded significant clustering in the distribution of both providers and deaths, with notable significant clusters of higher than average providers and deaths in the Northeast, and scattered mismatched regions of lower-than-average providers and higher-than-average deaths across the Southern, Midwestern, and Western US. Graphical analysis of buprenorphine provider availability and overdose burden reveals limited treatment access relative to overdose deaths throughout much of the Midwestern and Southern US. CONCLUSIONS: Substantial county-level imbalances between the availability of buprenorphine providers and the burden of opioid overdose deaths are present within the US.

A Spatial Analysis of Body Mass Index and Neighborhood Factors in Community-Dwelling Older Men and Women.

The spatial distribution of obesity among the older population can yield insights into the influence of contextual factors associated with this public health problem. We tested the relationship between neighborhood-level characteristics and body mass index (BMI) using global and local spatial statistics of geographic clustering, using data derived from a random-digit-dial sample of 5,319 community-dwelling adults aged 50 to 74 residing in 1,313 census tracts in New Jersey. Geographically weighted regression modeled associations between BMI clusters and neighborhood characteristics, including metrics of structure, safety, demographics, and amenities. Across the sample panel, average BMI was 28.62 kg/m(2) for women and 28.25 kg/m(2) for men. There was significant spatial clustering of obesity by census tract, varying by gender across the state. Neighborhood characteristics were more strongly related to BMI for women than men. This research illuminates the role of neighborhood contextual factors and will assist community planners, officials, and public health practitioners as they address the rise in obesity.

Vulnerable, But Why? Post-Traumatic Stress Symptoms in Older Adults Exposed to Hurricane Sandy.

OBJECTIVE: Drawing on pre-disaster, peri-disaster, and post-disaster data, this study examined factors associated with the development of post-traumatic stress disorder (PTSD) symptoms in older adults exposed to Hurricane Sandy. METHODS: We used a sample of older participants matched by gender, exposure, and geographic region (N=88, mean age=59.83 years) in which one group reported clinically significant levels of PTSD symptoms and the other did not. We conducted t-tests, chi-square tests, and exact logistic regressions to examine differences in pre-disaster characteristics and peri-disaster experiences. RESULTS: Older adults who experienced PTSD symptoms reported lower levels of income, positive affect, subjective health, and social support and were less likely to be working 4 to 6 years before Hurricane Sandy than were people not experiencing PTSD symptoms. Those developing PTSD symptoms reported more depressive symptoms, negative affect, functional disability, chronic health conditions, and pain before Sandy and greater distress and feelings of danger during Hurricane Sandy. Exact logistic regression revealed independent effects of preexisting chronic health conditions and feelings of distress during Hurricane Sandy in predicting PTSD group status. CONCLUSIONS: Our findings indicated that because vulnerable adults can be identified before disaster strikes, the opportunity to mitigate disaster-related PTSD exists through identification and resource programs that target population subgroups. (Disaster Med Public Health Preparedness. 2016;10:362-370).