Places for Healthy Play: A Multi-Pronged Evaluation of Context, Design, and Perceptions for Play Space Improvements.

Community design interventions have prioritized the creation of quality play space, especially in easy to access public places, to improve health outcomes and to reduce health inequities. Evaluations of health-relevant play interventions often fail to assess essential context, design, and perceptions. The Play Everywhere Philadelphia Challenge, led by KABOOM!, funded 16 play spaces to support child health and development and literacy skills for low-income neighborhoods across Philadelphia. In June-October 2022, our interdisciplinary team conducted a process evaluation of completed play space installations (k=9) to identify site aspects that facilitated greater use. We mapped neighborhood context (e.g., child amenities, sociodemographics, pedestrian and bike accessibility), and conducted direct and systematic observations of play space design (e.g., signage, shade), visitation (i.e., number of visitors/hour), and engagement. We summarized visitation and engagement across contextual and design data. While many visitors passed through sites, over half of the children we observed engaged with the installation. Installations with poor condition (i.e., cleanliness and maintenance) had the lowest visitation and engagement. More active/kinetic installations drew more children and engagement. This process evaluation comprehensively analyzed play space design elements and neighborhood context and provides evidence to inform recommendations to increase use of urban play spaces.

The association between tree planting and mortality: A natural experiment and cost-benefit analysis.

Several recent longitudinal studies have found that exposure to the natural environment is associated with lower non-accidental mortality. However, most of these studies used the normalized difference vegetation index (NDVI) as an exposure metric; and because NDVI might not be sensitive enough to adequately capture changes in urban vegetation, these studies might lack true longitudinal variation in exposure. Therefore, we used a natural experiment to assess the impact of 30 years of tree planting by the nonprofit Friends of Trees on non-accidental, cardiovascular, lower-respiratory, and accidental mortality in Portland, Oregon (mortality data were provided by the Oregon Health Authority). We estimated autoregressive mixed models of Census-tract level mortality rate (deaths per 100,000 population) associated with trees planted, including a tract-level random effect. All models used data from the American Community Survey to control for year, race, education, income, and age. Each tree planted in the preceding 15 years was associated with significant reductions in non-accidental (-0.21, 95 % CI: -0.30, -0.12) and cardiovascular mortality (-0.066, 95 % CI: -0.11, -0.027). Furthermore, the dose-response association between tree planting and non-accidental mortality increased in magnitude as trees aged and grew. Each tree planted in the preceding 1-5 years was associated with a reduction in mortality rate of -0.154 (95 % CI: -0.323, 0.0146), whereas each tree planted in the last 6-10 and 11-15 years was associated with a reduction in mortality rate of -0.262 (95 % CI: -0.413, -0.110) and -0.306 (95 % CI: -0.527, -0.0841) respectively. Using US EPA estimates of a value of a statistical life, we estimated that planting a tree in each of Portland's 140 Census tracts would generate $14.2 million in annual benefits (95 % CI: $8.0 million to $20.4 million). In contrast, the annual cost of maintaining 140 trees would be $2,716-$13,720.

Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users.

BACKGROUND: There are hundreds of bikeshare programs worldwide, yet few health-related evaluations have been conducted. We enrolled a cohort of new bikeshare members in Philadelphia (Pennsylvania, USA) to assess whether within-person moderate and vigorous physical activity (MVPA) increased with higher use of the program and whether effects differed for vulnerable sub-groups. METHODS: During 2015-2018, 1031 new members completed baseline and one-year follow-up online surveys regarding their personal characteristics and past 7-day MVPA minutes per week (minutes per week with- and without walking). Participants were linked to their bikeshare trips to objectively assess program use. Negative binomial (for continuous outcomes) and multinomial (for categorical outcomes) regression adjusted for person characteristics (socio-demographics, health), weather, biking-infrastructure, and baseline biking. RESULTS: Participant median age was 30, 25% were of Black or Latino race/ethnicity, and 30% were socioeconomically disadvantaged. By follow-up, personal bike ownership increased and 75% used bikeshare, although most used it infrequently. Per 10 day change in past year (PY) bikeshare use, non-walking MVPA min/wk increased 3% (roughly 6 min/wk, P < 0.014). More days of bikeshare was also associated with change from inactive to more active (odds ratio for ≥ 15 days in PY vs. no bikeshare use 1.80, CI 1.05-3.09, P < 0.03). Results were consistent across vulnerable sub-groups. In general, impacts on MVPA were similar when exposure was personal bike or bikeshare. CONCLUSIONS: Bikeshare facilitated increases in cycling, slightly increased non-walking MVPA, and showed potential for activating inactive adults; however, for larger program impact, members will need to use it more frequently.

Development of an instrument to measure perceived gentrification for health research: Perceptions about changes in environments and residents (PACER).

Despite a myriad of potential pathways linking neighborhood change and gentrification to health, existing quantitative measures failed to capture individual-level, self-reported perceptions of these processes. We developed the Perceptions About Change in Environment and Residents (PACER) survey to measure the gentrification-related neighborhood change experienced by individuals relevant to health. We employed a multi-stage process to develop PACER including a scoping review, question refinement, content validity, and cognitive interviews. Content validity and cognitive interviews were assessed within the National Neighborhood Indicators Partnership (NNIP) and for residents of different tenure in both gentrifying and non-gentrifying neighborhoods to ensure PACER considers the complex nature of neighborhood change for different people within different urban contexts. We piloted the instrument to a sample from the resident panel BeHeardPhilly to assess acceptability and data quality. Finally, we assessed internal consistency, dimensionality, and criterion-related validity using Principal Components Analysis (PCA), descriptive statistics, and correlation coefficients. Testing showed good internal consistency for PACER questions, as well as for each of four resulting factors (Feelings, Built Environment, Social Environment, and Affordability). Correlations between factors and other context measures demonstrated strong criterion-related validity. PACER offers an unprecedented tool for measuring and understanding resident perceptions about gentrification-related neighborhood change relevant to health. Rigorously tested and tailored for health, PACER holds utility for application across different settings to examine changes from events that may impact and shift neighborhoods.

Health and Health-Related Resources in Newly Designated Federally Qualified Opportunity Zones: United States, 2012-2016.

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.

Spatial accessibility to pediatric primary care in Philadelphia: an area-level cross sectional analysis.

BACKGROUND: Pediatric primary care visits are a foundational element in the health maintenance of children. Differential access may be a driver of racial inequities in health. We hypothesized that pediatric primary care accessibility would be lowest in neighborhoods with higher proportion of non-Hispanic Black residents. METHODS: Annual ratios (2008-2016) of providers to pediatric population were calculated by census tract in Philadelphia, Pennsylvania. Marginal logistic regression was used to estimate the independent association between neighborhood racial composition and access to pediatric primary care controlling for confounders. RESULTS: In general, low access to care was associated with greater neighborhood disadvantage (e.g., SES, % poverty, % public insurance). After controlling for neighborhood indicators of disadvantage, risk of being in the lowest quintile of access significantly increased as the percent of non-Hispanic Black residents increased. CONCLUSION: A new measure of pediatric primary care accessibility demonstrates a persistent disparity in primary care access for predominantly non-Hispanic Black neighborhoods.

Using high-resolution residential greenspace measures in an urban environment to assess risks of allergy outcomes in children.

Despite reported health benefits of urban greenspace (gs), the epidemiological evidence is less clear for allergic disease. To address a limitation of previous research, we examined the associations of medium- and high-resolution residential gs measures and tree and/or grass canopies with allergic outcomes for children enrolled in the longitudinal cincinnati childhood allergy and air pollution study (ccaaps). We estimated residential gs based on 400 m radial buffers around participant addresses (n = 478) using the normalized differential vegetation index (ndvi) and land cover-derived urban greenspace (ugs) (tree and grass coverage, combined and separate) at 30 m and 1.5-2.5 m resolution, respectively. Associations between outdoor aeroallergen sensitization and allergic rhinitis at age 7 and residential gs measures at different exposure windows were examined using multivariable logistic regression models. A 10% increase in ugs-derived grass coverage was associated with an increased risk of sensitization to grass pollens (adjusted odds ratio [aor]: 1.27; 95% confidence interval = 1.02-1.58). For each 10% increase in ugs-derived tree canopy coverage, nonstatistically significant decreased odds were found for grass pollen sensitization, tree pollen sensitization, and sensitization to either (aor range = 0.87-0.94). Results similar in magnitude to ugs-tree canopy coverage were detected for ndvi and allergic sensitizations. High-resolution (down to 1.5 m) gs measures of grass- and tree-covered areas showed associations in opposite directions for different allergy outcomes. These data suggest that measures strongly correlated with tree canopy (e.g., ndvi) may be insufficient to detect health effects associated with proximity to different types of vegetation or help elucidate mechanisms related to specific gs exposure pathways.

Longitudinal Associations of Local Cigarette Prices and Smoking Bans with Smoking Behavior in the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Few studies have examined associations of geographically proximal cigarette prices with within-person changes in smoking outcomes or assessed interactions between cigarette prices and smoking bans. METHODS: We linked neighborhood cigarette prices (inflation-adjusted) at chain supermarkets and drug stores and bar/restaurant smoking ban policies to cohort participants (632 smokers from the Multi-Ethnic Study of Atherosclerosis, 2001-2012, baseline mean age 58 years) using geocoded retailer and participant addresses. We used fixed-effects models to investigate associations of within-person changes in price and ban exposures with within-person changes in five smoking outcomes: current smoking, heavy (≥10 cigarettes) smoking, cessation, relapse, and intensity (average number of cigarettes smoked per day, natural log transformed). We assessed intensity associations among all smokers, and heavy (≥10 cigarettes per day) and light (<10) baseline smokers. Finally, we tested interactions between cigarette price and bans. RESULTS: A $1 increase in price was associated with a 3% reduction in risk of current smoking (adjusted risk ratio [aRR]: 0.97; 95% confidence interval [CI] = 0.93, 1.0), a 7% reduction in risk of heavy smoking (aRR: 0.93; CI = 0.87, 0.99), a 20% increase in risk of smoking cessation (aRR: 1.2; CI = 0.99, 1.4), and a 35% reduction in the average number of cigarettes smoked per day by heavy baseline smokers (ratio of geometric means: 0.65; CI = 0.45, 0.93). We found no association between smoking bans and outcomes, and no evidence that price effects were modified by the presence of bans. CONCLUSIONS: Results underscore the importance of local prices, but not hospitality smoking bans, in influencing older adults' smoking behaviors.

Midlife Occupational Physical Activity and Risk of Disability Later in Life: National Health and Aging Trends Study.

OBJECTIVES: To determine whether midlife occupational physical activity (PA) is associated with disability in older adults and to test disease as a mediating variable. DESIGN: Cross-sectional study. SETTING: National Health and Aging Trends Study. PARTICIPANTS: Individuals aged 65 and older (N = 7,307). MEASUREMENTS: Participants were classified as to occupational PA levels by linking information from the Occupational Information Network database using standard occupation codes. Disability outcomes and covariates were obtained through in-person interviews. Logistic regression models were used to examine the association between occupational PA and disability. Structural equation modeling (SEM) was fitted to examine the mediating effect of disease. RESULTS: Occupations with high physically demands were associated with greater decline in functional capacity later in life. Individuals with occupations with high and very high PA were less likely to be able to perform activities of daily living than those with occupations with low PA. SEM showed that occupational PA has a very strong direct effect on disability (P < .001) and has an indirect effect on disability through disease (P = .003). The population attributable fraction for high occupational PA was 11%. CONCLUSION: Higher midlife occupational PA levels were significantly associated with poorer ability to perform activities of daily living in older age. Performing the optimal level of occupational PA may be instrumental in reducing disability later in life.

Aging and place--neighborhoods and health in a world growing older.

The articles in this special issue make it clear that there are interesting and policy-relevant research to identify place-based strategies to improve health and reduce health disparities among older adults. The articles also reveal important areas of future research and policy innovation that are needed related to place and aging.

Trajectories of positive aging: observations from the women's health initiative study.

BACKGROUND: The purpose of this study was to describe the longitudinal trajectories and bidirectional relationships of the physical-social and emotional functioning (EF) dimensions of positive aging and to identify their baseline characteristics. METHODS: Women age 65 and older who enrolled in one or more Women's Health Initiative clinical trials (WHI CTs) and who had positive aging indicators measured at baseline and years 1, 3, 6, and 9 were included in these analyses (N = 2281). Analytic strategies included latent class growth modeling to identify longitudinal trajectories and multinomial logistic regression to examine the effects of baseline predictors on these trajectories. RESULTS: A five-trajectory model was chosen to best represent the data. For Physical-Social Functioning (PSF), trajectory groups included Low Maintainer (8.3%), Mid-Low Improver (10.4%), Medium Decliner (10.7%), Mid-High Maintainer (31.2%), and High Maintainer (39.4%); for EF, trajectories included Low Maintainer (3%), Mid-Low Improver (9%), Medium Decliner (7.7%), Mid-High Maintainer (22.8%), and High Maintainer (57.5%). Cross-classification of the groups of trajectories demonstrated that the impact of a high and stable EF on PSF might be greater than the reverse. Low depression symptoms, low pain, and high social support were the most consistent predictors of high EF trajectories. CONCLUSION: Aging women are heterogeneous in terms of positive aging indicators for up to 9 years of follow-up. Interventions aimed at promoting sustainable EF might have diffused effects on other domains of healthy aging.

Beyond crosswalks: reliability of exposure assessment following automated coding of free-text job descriptions for occupational epidemiology.

Epidemiologists typically collect narrative descriptions of occupational histories because these are less prone than self-reported exposures to recall bias of exposure to a specific hazard. However, the task of coding these narratives can be daunting and prohibitively time-consuming in some settings. The aim of this manuscript is to evaluate the performance of a computer algorithm to translate the narrative description of occupational codes into standard classification of jobs (2010 Standard Occupational Classification) in an epidemiological context. The fundamental question we address is whether exposure assignment resulting from manual (presumed gold standard) coding of the narratives is materially different from that arising from the application of automated coding. We pursued our work through three motivating examples: assessment of physical demands in Women's Health Initiative observational study, evaluation of predictors of exposure to coal tar pitch volatiles in the US Occupational Safety and Health Administration's (OSHA) Integrated Management Information System, and assessment of exposure to agents known to cause occupational asthma in a pregnancy cohort. In these diverse settings, we demonstrate that automated coding of occupations results in assignment of exposures that are in reasonable agreement with results that can be obtained through manual coding. The correlation between physical demand scores based on manual and automated job classification schemes was reasonable (r = 0.5). The agreement between predictive probability of exceeding the OSHA's permissible exposure level for polycyclic aromatic hydrocarbons, using coal tar pitch volatiles as a surrogate, based on manual and automated coding of jobs was modest (Kendall rank correlation = 0.29). In the case of binary assignment of exposure to asthmagens, we observed that fair to excellent agreement in classifications can be reached, depending on presence of ambiguity in assigned job classification (κ = 0.5-0.8). Thus, the success of automated coding appears to depend on the setting and type of exposure that is being assessed. Our overall recommendation is that automated translation of short narrative descriptions of jobs for exposure assessment is feasible in some settings and essential for large cohorts, especially if combined with manual coding to both assess reliability of coding and to further refine the coding algorithm.

Perceived barriers, resources, and training needs of rural primary care providers relevant to the management of childhood obesity.

PURPOSE: To explore the perceived barriers, resources, and training needs of rural primary care providers in relation to implementing the American Medical Association Expert Committee recommendations for assessment, treatment, and prevention of childhood obesity. METHODS: In-depth interviews were conducted with 13 rural primary care providers in Oregon. Transcribed interviews were thematically coded. RESULTS: Barriers to addressing childhood obesity fell into 5 categories: barriers related to the practice (time constraints, lack of reimbursement, few opportunities to detect obesity), the clinician (limited knowledge), the family/patient (family lifestyle and lack of parent motivation to change, low family income and lack of health insurance, sensitivity of the issue), the community (lack of pediatric subspecialists and multidisciplinary/tertiary care services, few community resources), and the broader sociocultural environment (sociocultural influences, high prevalence of childhood obesity). There were very few clinic and community resources to assist clinicians in addressing weight issues. Clinicians had received little previous training relevant to childhood obesity, and they expressed an interest in several topics. CONCLUSIONS: Rural primary care providers face extensive barriers in relation to implementing recommended practices for assessment, treatment, and prevention of childhood obesity. Particularly problematic is the lack of local and regional resources. Employing nurses to provide case management and behavior counseling, group visits, and telehealth and other technological communications are strategies that could improve the management of childhood obesity in rural primary care settings.

Using inpatient hospital discharge data to monitor patient safety events.

The development of systematic and sustainable surveillance systems is necessary for the creation of patient safety prevention programs and the evaluation of improvement resulting from innovations. To that end, inpatient hospital discharges collected by the Pennsylvania Health Care Cost Containment Council were used to investigate patient safety events (PSEs) in Pennsylvania in 2006. PSEs were identified using external cause of injury codes (E-codes) in combination with the Agency for Healthcare Research and Quality's patient safety indicators (PSIs). Encounters with and without PSEs were compared with regard to patient age, sex, race, length of stay, and cost. Approximately 9% of all Pennsylvania inpatient discharges had a PSE in 2006. Patients with a PSE were on average older, male, and white. The average length of stay for a PSE was 3 days longer and $35 000 more expensive than a non-PSE encounter. It was concluded that E-codes and PSIs were useful tools for the surveillance of PSEs in Pennsylvania, and that administrative data from healthcare organizations provide a consistent source of standardized data related to patient encounters, creating an opportunity to describe PSEs at the population level.

Urban trees and the risk of poor birth outcomes.

This paper investigated whether greater tree-canopy cover is associated with reduced risk of poor birth outcomes in Portland, Oregon. Residential addresses were geocoded and linked to classified-aerial imagery to calculate tree-canopy cover in 50, 100, and 200 m buffers around each home in our sample (n=5696). Detailed data on maternal characteristics and additional neighborhood variables were obtained from birth certificates and tax records. We found that a 10% increase in tree-canopy cover within 50 m of a house reduced the number of small for gestational age births by 1.42 per 1000 births (95% CI-0.11-2.72). Results suggest that the natural environment may affect pregnancy outcomes and should be evaluated in future research.

Evaluation of a community-based, service-oriented social medicine residency curriculum.

BACKGROUND: Educators can create opportunities for physicians-in-training to learn about the health care needs of the underserved and expose learners to models of care and opportunities for service. OBJECTIVES: We evaluated a community-based, service-oriented Social Medicine curriculum for Internal Medicine interns and residents initiated in 2007. METHODS: Qualitative data were collected through focus groups. CONCLUSIONS: Potent community-based experiential learning with adequate time and encouragement to hear clients' stories allowed residents to gain an understanding of some of the complex factors that contribute to ill health in this population and seemed to influence residents' confidence in their skills in working with an undeserved population, particularly a population struggling with addiction. However, the curriculum did not provide adequate time for facilitated, personal reflection. These data will assist community health partnerships in developing their own curricula to address health needs of the underserved.

Health disparities between women with and without disabilities: a review of the research.

As part of a women's health center project, we reviewed 16 years of research to examine health disparities between women with and without disabilities. We reviewed MEDLINE-indexed articles between 1990 and 2005 with data on women with and without physical, sensory, intellectual, developmental, or psychiatric disabilities. Our review found few articles examining health disparities in chronic disease, cancer, mental health and substance abuse, preventive screening, health-promoting behaviors, and health services utilization. Results reflect apparent health disparities between women with and without disabilities. Challenges for the field exist in standardizing disability definitions and determining a future course for health disparity research and policy.

Using built environmental observation tools: comparing two methods of creating a measure of the built environment.

PURPOSE: Identify an efficient method of creating a comprehensive and concise measure of the built environment integrating data from geographic information systems (GIS) and the Senior Walking Environmental Assessment Tool (SWEAT). DESIGN: Cross-sectional study using a population sample. SETTING: Eight MUNICIPALLY defined neighborhoods in Portland, Oregon. SUBJECTS: Adult residents (N = 120) of audited segments (N = 363). MEASURES: We described built environmental features using SWEAT audits and GIS data. We obtained information on walking behaviors and potential confounders through in-person interviews. ANALYSIS: We created two sets of environmental measures, one based on the conceptual framework used to develop SWEAT and another using principal component analysis (PCA). Each measure's association with walking for transportation and exercise was then assessed and compared using logistic regression. RESULTS: A priori measures (destinations, safety, aesthetics, and functionality) and PCA measures (accessibility, comfort/safety, maintenance, and pleasantness) were analogous in conceptual meaning and had similar associations with walking. Walking for transportation was associated with destination accessibility and functional elements, whereas walking for exercise was associated with maintenance of the walking area and protection from traffic. However, only PCA measures consistently reached statistical significance. CONCLUSION: The measures created with PCA were more parsimonious than those created a priori. Performing PCA is an efficient method of combining and scoring SWEAT and GIS data.

Physical activity resources and changes in walking in a cohort of older men.

OBJECTIVES: We evaluated the influence of physical activity resources and neighborhood-level socioeconomic status (SES) on walking among community-dwelling older men. METHODS: Participants reported time walked per day at baseline (2000-2002) and follow-up. Residential addresses were linked to a geographic information system database to assess proximity to parks, trails, and recreational facilities. Log-binomial regression analyses were conducted to test the hypothesis that men living near physical activity resources were more likely to increase or maintain time walked. RESULTS: Average time walked per day declined by 6 minutes between baseline and follow-up (P < .05). There was a significant interaction of neighborhood SES and physical activity with walking time (P < .1). Proximity to parks and proximity to trails, respectively, were associated with a 22% (95% confidence interval [CI] = 1.01, 1.47) and 34% (95% CI = 1.16, 1.55) higher likelihood of maintaining or increasing walking time in high-SES neighborhoods, but there was no association in low-SES neighborhoods. Proximity to recreational facilities was not associated with walking. CONCLUSIONS: Uncovering reasons that proximity to parks and trails is not associated with maintenance of walking activity among men in low-SES neighborhoods could provide new insight into ways to promote physical activity.