Neighborhood Environmental Characteristics Research Articles

Assessing structural models of neighborhood and family sociodemographic characteristics and their relations with externalizing psychopathology.

Externalizing psychopathology has been found to have small to moderate associations with neighborhood and family sociodemographic characteristics. However, prior studies may have used suboptimal operationalizations of neighborhood sociodemographic characteristics and externalizing psychopathology, potentially misestimating relations between these constructs. To address these limitations, in the current study we test different measurement models of these constructs and assess the structural relations between them. Using a population-representative sample of 2,195 twins and siblings from the Georgia Twin Study and data from the National Neighborhood Data Archive and 2000 U.S. Census, we assessed the fit of competing measurement models for family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics. In structural models, we regressed a general externalizing dimension on different operationalizations of these variables separately and then simultaneously in a final model. Latent variable operationalizations of family sociodemographic, neighborhood sociodemographic, and neighborhood environment characteristics explained no more variance in broad externalizing psychopathology than other operationalizations. In an omnibus model, family sociodemographic characteristics showed a small association with externalizing psychopathology, while neighborhood sociodemographic and environmental characteristics did not. Family sociodemographic characteristics showed small associations with neighborhood sociodemographic and environmental characteristics, and neighborhood sociodemographic characteristics were moderately associated with neighborhood environment. These findings suggest that family sociodemographic characteristics are more associated with the development of broad externalizing psychopathology in youth than neighborhood sociodemographic characteristics and neighborhood environment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring emotions in relation to neighborhood environmental characteristics among older adults with low socioeconomic position: A qualitative study using walk-along interviews

Cities are challenged to provide older adults with high-quality neighborhoods that foster their mental health. Older adults with low socioeconomic position (SEP) are at risk for poor mental health, but research in this group is scarce. The neighborhood may have an impact on older adults' mental health through the elicitation of emotions. Qualitative on-site research can provide detailed and context-sensitive information on the experienced emotions. The aim of this walk-along study was to identify which emotions older adults with low SEP experience when they walk in their neighborhood and the physical and social neighborhood environmental characteristics that influence these emotions. Twenty-four older adults with low SEP were interviewed and content analysis was performed using NVivo 12 software. Participants experienced various positive emotions (e.g., calmness) in green and blue spaces, spaces with historical buildings, and open spaces. They experienced negative emotions (e.g., frustration) in spaces with heavy traffic and crime, paths with uneven surfaces, and areas with a lack of services, infrastructure and maintenance. The presence of public transport, renovations, graffiti, and cultural diversity evoked mixed emotions. Insights from this study could be used to develop specific hypotheses in quantitative studies and by urban planners and policy makers when (re-)designing neighborhoods.

A mixed methods comparison of adolescents' and researchers' observations of neighborhood characteristics in Latinx neighborhoods.

We used a convergent mixed methods research design to compare and contrast researchers' neighborhood environmental assessments collected using systematic social observations with adolescents' neighborhood environmental assessments collected by semi-structured interviews with US Mexican adolescents. Using qualitative methods, we found that adolescents sometimes observed the same neighborhood environmental features as researchers. They also sometimes observed different environmental features altogether; in both cases they sometimes layered on additional meaning making. Using mixed methods, we found that there was a high degree of overlap between researchers and adolescents in terms of agreement on the presence of neighborhood environmental features, including physical disorder, physical decay, street safety, and sociocultural symbols. Adolescents expanded upon these neighborhood environmental features with references to positive and negative affect and neighborhood environmental resources. This work highlights the shared and unique aspects of researcher versus adolescent observations and how both data sources are critical to understanding Latinx neighborhood environments.

ASSOCIATION BETWEEN NEIGHBORHOOD ENVIRONMENT AND FEAR OF FALLING AND FALLS AMONG COMMUNITY-DWELLING OLDER ADULTS

Abstract Neighborhood built environment may influence both objective and perceived risk of falling. We examined the association between neighborhood built environmental characteristics and falls, fear of falling (FOF), and gait efficacy among older adults. We used baseline data from a randomized trial that measured falls over the past 12 months, FOF, and Modified Gait Efficacy Scale (mGES). Walkability audits were conducted for participant home addresses using Google StreetView and summarized by two factors: urbanicity and neighborhood quality. Logistic and linear regression were adjusted for age, gender, race, comorbidity index, and body mass index. Analyses were also stratified by past falls and gait speed (< or ≥1.0m/s). We included 249 participants (mean age: 77.4 years; 65% female) with 29.7% reporting a fall over the past year and 40.6% reporting FOF. Mean mGES (0-100) was 85.2±13.7 and 32% participants had gait speed <1.0m/s. In unstratified analysis, greater urbanicity was associated with lower gait efficacy (β=-1.88, p=.039). Among those who had not fallen, greater urbanicity was associated with FOF (β=0.47, p=.012) and greater urbanicity and higher neighborhood quality were associated with lower gait efficacy (β=-2.8, p=.006; β=-2.1, p=.047). Among those with better mobility, urbanicity was associated with lower gait efficacy and FOF (β=-2.4, p=.009; β=0.5, p=.01). There were no significant associations among those who had fallen or with poorer mobility. Neighborhood environmental characteristics may play a larger role in FOF among those who have better mobility and have not yet fallen, as they may have more opportunities to interact with varied environmental conditions.

Examining the impact of neighborhood environment factors on residents’ emotions during COVID-19 lockdown and reopening: A Wuhan study on mediation and moderation

Due to COVID-19, the urban lockdown has caused a significant impact on the mental health of residents. However, limited research investigates the role of neighborhood factors on residents’ mental health during and after the lockdown. This study examines Wuhan, the first city to experience the COVID-19 outbreak, employing multiple linear regression and XGBoost algorithms to analyze the emotional status and distribution of Wuhan residents. The goal of this study is to identify the moderating effect of the neighborhood environment scale on emotional positivity and the marginal effect of the neighborhood environment on residents’ emotions. The results of the study indicate that specific neighborhood environmental characteristics have varying effects on residents’ positive emotions, both before and after the COVID-19 lockdown. The green space ratio, attraction density, waterfront space density, and service facility density all positively affected mood within different distance ranges. Shopping facilities, on the other hand, had mainly positive effects during the open period, with negative effects during the closed period. Furthermore, this study determined scale thresholds where neighborhood environments had a positive effect on mood. For instance, attractions and waterfront areas improved the mood of residents in residential areas, up to at least 3 km away. Medical facilities had a positive effect on residents’ mood beyond 2.2 km. This study highlights crucial implications for planning and managing neighborhoods to promote resilience during future public health crises.

Neighborhood Environment and Epigenetic Age: A Scoping Review.

Interest in how the neighborhood environment impacts age-related health conditions has been increasing for decades. Epigenetic changes are environmentally derived modifications to the genome that alter the way genes function-thus altering health status. Epigenetic age, a biomarker for biological age, has been shown to be a useful predictor of several age-related health conditions. Consequently, its relation to the neighborhood environment has been the focus of a growing body of literature. We aimed to describe the scope of the evidence on the relationship between neighborhood environmental characteristics and epigenetic age. Using scoping review following methods established by Arksey and O'Malley, we first defined our research questions and searched the literature in PubMed, PsycINFO, and EMBASE. Next, we selected the literature to be included, and finally, we analyzed and summarized the information. Nine articles met the inclusion criteria. Most studies examined deprivation as the neighborhood characteristic of interest. While all studies were observational in design, the articles included diverse participants, including men and women, adults and children, and multiple ethnicities. Results demonstrated a relationship between the neighborhood environment and epigenetic age, whether the characteristic of interest is socioeconomic or physical. Overall, studies concluded there was a relationship between neighborhood characteristics and epigenetic age, whether the characteristic of interest was socioeconomic or physical. However, findings varied based on how the neighborhood characteristic and/or epigenetic age was measured. Furthermore, a paucity of investigations on physical characteristics was noticeable and warrants increased attention.

The Social Relationship and Neighborhood Environment Characteristics of Preschoolers in Seoul

The Social Relationship and Neighborhood Environment Characteristics of Preschoolers in Seoul

O.5.1-1 Physical environment perceptions in rural and urban areas and their influence on adolescents’ walking and non-motorized vehicle use

Abstract Purpose Environment perceptions influence adolescents’ active transport. However, most studies focus on urban areas only and do not differentiate between walking and the use of non-motorized vehicles (NMV; e. g. cycling, skateboarding). Therefore, we aim to describe differences in perceived environment attributes across urbanicity levels and assess the relationship between perceived environment and walking as well as NMV in adolescents stratified across urban and rural areas. Methods We used cross-sectional data including age, gender, socioeconomic status, environment perceptions, duration of walking, and NMV use of 3,976 adolescents (14.5±2.0 years, 51% female) from the nationwide Motorik-Modul Study Wave 2 (2014-2017) and Wave 3 pre-Covid (2018-2020) in Germany. Separate cumulative link mixed models were calculated for rural areas, small towns, medium-sized towns, and cities to analyze relationships between environment perceptions and walking as well as NMV use. Results Adolescents in urban areas report higher presence of recreation facilities, walking and cycling infrastructure, cars, and children playing outside as well as better access to shops and bus stops compared to adolescents in rural areas. The latter perceive their neighborhood to be safer from crime and more pleasant for walking and cycling compared to urban areas. The relationships between environment perceptions and walking differ between urbanicity levels. For example, public sports facilities (OR = 1.29), cycling paths (OR = 1.30), and car presence are associated with walking in rural areas, whereas having access to shops (OR = 1.26) is associated with walking in cities. Rural-urban differences are also found for NMV use. For example, access to shops (OR = 1.16), cycling paths (OR = 1.29), and having a pleasant neighborhood for walking and cycling (OR = 1.29) are associated with NMV use in rural areas, whereas in cities, car presence (OR = 0.80) relates to NVT use. Public sports facilities (OR = 1.23-1.33) are associated with NVT use across urbanicity levels (all p < 0.05). Conclusions This work suggests that active transport behaviors of rural and urban living adolescents are influenced by different neighborhood environment characteristics. Therefore, programs targeting active transport should consider specifics of the rural or urban context. Further, there is little overlap between factors associated with walking and NVT use, highlighting different needs based on transport mode choice.

Bridging the gap between pedestrian and street views for human-centric environment measurement: A GIS-based 3D virtual environment

Street View Image (SVI) data has gained popularity as a methodological tool for assessing pedestrian-level environments across various disciplines. Several studies in transportation and public health fields posit that environmental features measured through SVIs are similar to those perceived by pedestrians, whereas, in fact, SVIs are typically collected from vehicles. As a result, the SVI data may reflect significant differences from an actual pedestrian’s view. Hence, this study investigates the errors in measuring neighborhood environmental features resulting from the difference between pedestrian and vehicle views. To accomplish this goal, a three-dimensional (3D) urban model is developed, utilizing multiple Geographic Information Systems (GIS) data. This model accurately represents the spatial positioning and dimensions of various entities. From the 3D model, virtual SVIs for each perspective are collected. Subsequently, we quantify environmental features in a manner similar to semantic segmentation for the images. Our findings reveal significant measurement errors for sidewalks, greenery, and roads between pedestrian and vehicle views. These errors are more pronounced with certain environment characteristics and parameter settings for image acquisition. For example, narrow road segments with few on-street parked vehicles exhibit increased measurement errors for greenery. Overall, the study provides guidelines for researchers on utilizing SVI to achieve reliable measurement of environmental features and move toward human-centric measurements.

Understanding the effects of urban perceptions on housing rent using big data and machine learning

ABSTRACT Urban perceptions are related to residents’ subjective well-being, activities, settlement choice, and physical and mental health, which are vital for promoting sustainable community development. Landsenses ecology proposes the concepts of physical and psychological perceptions to measure the interaction between humans and the urban environment. However, such perceptions and their quantitative relationships with housing rental prices (HRPs) are still not clear. In this study, a novel urban-perception-oriented hedonic price model (UP-HPM) is proposed based on the construction of a multisource geographic database of Beijing’s rental market with rich information on people-oriented perception metrics, neighborhood environment characteristics, and HRPs. Furthermore, we use advanced machine learning (ML) pipelines to measure residents’ multidimensional urban perceptions and investigate their impact on block-level HRPs and their spatial disparities. We also quantify and compare the contribution of different physical and psychological perceptual attributes to HRPs through UP-HPM. The results show that neighborhood perceived greenery and the use of fences tend to bring about positive psychological perceptions and further affect HRPs. By comparing different combinations of hedonic and perceptual features, the UP-HPM performs well in terms of fitting capacity, spatial description, and interpretability and can inspire humanistic thinking and landsenses planning guidelines for the regulation of the allocation of public rental housing and improvement in block-level physical settings and infrastructure services, thereby providing insights into how best to promote residents’ quality of life and well-being.

Engaging Nigerian Older Persons in Neighborhood Environment Assessment for Physical Activity Participation: A Citizen Science Project.

Global organizations are advocating that older persons' voices should guide communities in age-friendly design. An important aspect of age friendliness to enable daily function and health is ensuring that physical activity can occur, regardless of age, within local neighborhoods. This study used a specific citizen science approach, Our Voice, to engage a sample (N = 13) of older adults (60 or older) in Festac Town, Nigeria. The citizen scientists' roles were to assess and identify how different aspects of the neighborhood environment act as supports or barriers to their physical activity participation. They were individually enabled using a tablet-based mobile application called the Stanford Healthy Neighborhood Discovery Tool to record a total of 156 geocoded photos and 151 commentaries of neighborhood environmental features that facilitate or hinder physical activity in and around their neighborhoods. In a guided process, the following occurred: collaborative discussions of findings with other citizen scientists to determine common targets, setting of priority targets for change, and brainstorming strategies and solutions. Facilitators of physical activity included: pedestrian and traffic facilities (e.g., traffic lights, walkways); green areas and parks; multigenerational community features (e.g., programs/facilities); opportunities for social connection (e.g., neighborhood associations, churches); safety of destinations and services; and public toilets. Barriers to physical activity included: hazardous walkways/traffic; noise pollution; refuse, selling of public parks; crime (e.g., kidnapping, criminal hideouts); no safe drinking water; and ageism. The priorities for changes were social connectivity; improved pedestrian and traffic facilities; and green and beautiful environments. In this study, both physical and social aspects of the environment were deemed important for older Nigerians to enable physical activity in their local community. This approach has a promise for age-friendly initiatives seeking local changes by meaningfully engaging older adults.

Covid-19 restrictions: An opportunity to highlight the effect of neighbourhood deprivation on individuals’ health-related behaviours

RationaleNeighbourhood socio-economic deprivation is strongly related to health-risk behaviours, which are predictors of overall health and mortality. During the Covid-19 pandemic, individuals have been forced to spend more time within their residential areas, which might have had an effect on health-risk behaviours. ObjectiveWe assess the consequences of living in a more or less deprived neighbourhood during the pandemic on individual behavioural changes in four health-related outcomes: smoking, drinking, physical activity and healthy eating. We hypothesise that the pandemic and related lock-downs had negative effects on health-related behaviours, but that this negative effect had been stronger for people living in more deprived areas. We additionally explore sex and ethnicity as sources of heterogeneity in these effects. MethodsWe use data from four nationally representative cohort studies in England. We perform longitudinal individual and neighbourhood fixed effects estimations focusing on comparing the pre-pandemic period with the first lockdown (May 2020) period and up to one year after the outbreak of the pandemic (March 2021). ResultsDuring the first lockdown, as compared to pre-pandemic levels, on average, people smoked more, drunk more and did more physical activity. However, compared to people in less deprived neighbourhoods, people living in more deprived areas showed a smaller increase in their levels of physical activity, consumed less fruit and vegetables and increased the number of cigarettes smoked. We additionally find that the combined effect of Covid-19 and area deprivation varies significantly by both sex and ethnicity. ConclusionResults add to evidence on the impact of the Covid-19 pandemic and associated lockdowns on health-risk behaviours, highlighting the relative contribution of the neighbourhood environment and individual characteristics. We argue that reducing levels of neighbourhood deprivation may contribute to positively influence behaviours, especially for some sub-groups of the population, leading to a reduction of social inequalities in health.

Neighborhood Environment and Affective Walking Experience: Cluster Analysis Results of a Virtual-Environment-Based Conjoint Experiment.

There is empirical evidence that neighborhood environment characteristics influence individuals' self-reported affective walking experiences. However, much of the research investigates residents' affective walking experiences at the neighborhood level using revealed-preference methodologies, making it difficult to identify the separate impacts of characteristics. In addition, empirical studies have not shown enough evidence that individuals from different sociodemographic backgrounds have distinct affective walking experiences. Therefore, the objective of this paper is to explain how different groups of people perceive the characteristics of a neighborhood differently. To do this, this study conducts a conjoint experiment employing videos of virtual environments involving a sample of 295 respondents. Using a latent-class regression model and a multinomial logit model, we are able to determine how individuals and groups perceive neighborhood characteristics differently based on their different emotions. The results somewhat confirmed the findings of the empirical research, indicating that land use mix, connectivity, road size, open space, and greenery are related to a positive walking experience. The level of affective walking experience that individuals associate with neighborhood environmental characteristics is, however, considerably variable. Therefore, our results show that open space and road width are crucial for a walkable neighborhood since they are most helpful to individuals' subjective well-being.

Life satisfaction and perceived and objective neighborhood environments in a green-accredited township: Quantile regression approach

The characteristics of one's neighborhood have a significant impact on life satisfaction in older people, as a properly designed neighborhood can support aging in place. Although there are various aspects subsumed under neighborhood environment, this study examines perceived and objective neighborhood environmental characteristics, such as accessibility, neighborhood safety, environmental quality, neighborhood problems, and third places. Using a questionnaire survey as well as an in-depth interview, this paper examines the effect of neighborhood environment attributes on life satisfaction among older people living in a green accredited township. The quantile regression estimates show that different quantiles of respondents attach different importance to the determinants of life satisfaction. As for third places, visiting neighborhood shopping centers and taking lifelong learning courses at school may be determinants of life satisfaction when controlling for sociodemographic characteristics. By revealing the environmental determinants of life satisfaction among Malaysian older people, this study provides information for housing associations and urban planners to design an age-friendly neighborhood.

Spatial clusters of diabetes: individual and neighborhood characteristics in the ELSA-Brasil cohort study.

This study identified spatial clusters of type 2 diabetes mellitus among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two cities and verified individual and neighborhood socioeconomic environmental characteristics associated with the spatial clusters. A cross-sectional study was conducted with 4,335 participants. Type 2 diabetes mellitus was defined as fasting blood glucose ≥ 126mg/dL (7.0mmol/L), oral glucose tolerance test ≥ 200mg/dL (11.1mmol/L), or glycated hemoglobin ≥ 6.5% (48mmol/L); by antidiabetic drug use; or by the self-reported medical diagnosis of type 2 diabetes mellitus. Neighborhood socioeconomic characteristics were obtained from the 2011 Brazilian census. A spatial data analysis was conducted with the SaTScan method to detect spatial clusters. Logistic regression models were fitted to estimate the magnitude of associations. In total, 336 and 343 participants had type 2 diabetes mellitus in Belo Horizonte, Minas Gerais State (13.5%) and Salvador, Bahia State (18.5%), respectively. Two cluster areas showing a high chance of type 2 diabetes mellitus were identified in Belo Horizonte and Salvador. In both cities, participants living in the high type 2 diabetes mellitus cluster area were more likely to be mixed-race or black and have a low schooling level and manual work; these were also considered low-income areas. On the other hand, participants in the low type 2 diabetes mellitus cluster area of Salvador were less likely to be black and have low schooling level (university degree) and live in a low-income area. More vulnerable individual and neighborhood socioeconomic characteristics were associated with living in clusters of higher type 2 diabetes mellitus occurrence , whereas better contextual profiles were associated with clusters of lower prevalence.

Human-built environment interactions: the relationship between subjective well-being and perceived neighborhood environment characteristics

The neighborhood is one of the most fundamental urban elements and acts as the intermediary link between the city and citizens to enhance the quality of life. The present study examined the significance of the relationship between the subjective well-being of citizens and perceived neighborhood environment characteristics in urban historical fabrics for creating healthy neighborhoods. To this end, a survey research method was employed, and the data were collected via questionnaires. The population consisted of all the citizens of the historical neighborhood of Sange Siah in Shiraz, Iran, who lived or worked in the neighborhood and used the neighborhood spaces daily. A Nonparametric Spearman correlation coefficient was run to assess the correlation between the variables. The results showed that the component of social inclusion from among the six components of subjective well-being had a significant positive correlation with perceived neighborhood environment characteristics (r = 0.712). In the following, the components of satisfaction with life (0.614), mental well-being (0.569), positive and negative effect (0.526), and feeling of happiness (0.468) had a moderate positive correlation; and the component of physical and mental health also had a weak positive correlation with perceived neighborhood environment characteristics (0.230). In addition, the concept of subjective well-being with a correlation coefficient of 0.579 had a moderate positive correlation with perceived neighborhood environment characteristics, which indicates that the structural characteristics of the neighborhood have a significant relationship with the subjective well-being of the people living in the neighborhood.

Effects of neighborhood environment on different aspects of greenway use: Evidence from East Lake Greenway, China

As a component of both urban transport infrastructures and green spaces, urban greenways play a vital role in connecting urban public spaces, promoting active travel, and facilitating population-level health outcomes. Recently, there has been considerable interest in illustrating the determinants of greenway use in various contexts. Nevertheless, most studies have failed to identify the different aspects of greenway use. Meanwhile, the potential significance of residential neighborhood environments in utilizing greenways has largely been overlooked. In this study, we analyzed data collected from 1020 residents living around the East Lake Greenway in Wuhan, China, to discern three aspects of greenway use: frequency, time, and intensity. In addition, we investigated the moderate effect of neighborhood environmental characteristics on the association between greenway proximity and different aspects of use. After controlling for covariates, multi-level regression models showed that greenway proximity and neighborhood environmental characteristics were significantly associated with greenway use, while the specific associations varied across different aspects of greenway use. Furthermore, proportion of residential land, floor area ratio, and street connectivity moderated the relationship between greenway proximity and greenway use. In summary, the findings of this study contributed to the planning and management of greenways in high-density cities.

Abstract 11906: Association Between Neighborhood Environment and Physical Activity in Adults With Cardiovascular Disease in the United States

Introduction: Identifying attributes of the built environment that influence an individual’s adherence to recommended physical activity (PA) levels can inform cardiovascular-healthy urban-planning policies. However, no research has examined whether perceived neighborhood environment characteristics are associated with this among adults with CVD. Methods: Cross-sectional study using 2020 data from the National Health Interview Survey, which included 3191 adults with CVD. Perceived walkability and safety barriers were captured from 9 questions on participants’ feelings about the neighborhood’s safety and amenities to allow for walking. Meeting PA recommendation was evaluated based on 2012 ACC/AHA guidelines for individuals with stable CVD based on the self-reported measures of activity (Figure). Adjusted logistic models were created to evaluate the association of perceived walkability and safety with the odds of achieving PA goals. Results: In the study population, 36.8% met the overall PA guideline, of whom 7% met only strength activity, 19.5% met only aerobic activity, and 10.3% met both. Men were more likely to meet PA guidelines (42.5% vs. 29.2%) than women. In adjusted weighted analysis, having roads for a walk (OR 1.70, 95%CI 1.23-2.36), fun places such as parks, theatres, and libraries to walk near the living area (OR 1.43, 95%CI 1.08-1.89), and places to walk for relaxing and reducing stress (OR 1.46, 95%CI 1.10-1.95) were strongly associated with meeting PA recommendations. Conclusions: In adults with CVD, the neighborhood environment characteristics strongly associated with adherence to PA recommendations were the presence of places to walk for fun and relaxation. Although residual confounding is a possibility, our findings suggest that investing in social determinants by developing communities with amenities such as parks might help encourage physical activity for cardiovascular health.

Abstract 15011: Deriving and Validating Novel Neighborhood Data for Investigation of Adverse Outcomes in Patients Hospitalized for Heart Failure: A Feasibility Study

Introduction: Census-based measures of population-level neighborhood deprivation have been linked to adverse outcomes in patients with heart failure (HF). However, limited data exist to examine the impact of neighborhood environmental characteristics on HF outcomes. Objective: Derive novel measures of the patient built environment using multiple databases and compare their performance with traditional Census-based measure of population deprivation to predict 30-day readmission following hospitalization with HF. Methods: We identified the 17 census tracts in the metropolitan Atlanta area from the lowest, middle, and highest tertiles of the Social Deprivation Index (SDI), a neighborhood deprivation measure derived from US Census data. Three novel data sources—Twitter, Foursquare, and Google Places—were used to compute 6 environmental scores in each census tract: accessibility to parks, pharmacies, grocery stores, restaurants, sports places (e.g., gyms and fields), and health facilities (e.g., clinics and hospitals). We computed Pearson correlations across the data sources. We examined model performance of the 6 environmental scores and the SDI to predict readmissions in 804 patients (mean age 67 y, 52% female, 77% Black) hospitalized for acute HF at Emory Healthcare in 2018 using logistic regression adjusted for patient demographic and clinical characteristics. Results: Correlations across data sources ranged from r =-.45 to .65 (Figure 1a). Compared with SDI, 4 of the 6 environmental measures yielded marginally higher AUC values (discrimination) and 2 yielded higher pseudo R-squared values (calibration) for 30-day readmission (Figure 1b). Conclusion: This study demonstrates the early feasibility of directly measuring the patient built environment using novel data streams, and shows that these data may enhance neighborhood understanding of HF outcomes. Future studies should focus on scaling beyond the metropolitan Atlanta area.

Longitudinal neighbourhood determinants with cognitive health and dementia disparities: protocol of the Multi-Ethnic Study of Atherosclerosis Neighborhoods and Aging prospective cohort study

IntroductionThe burden of Alzheimer’s disease (AD) and AD-related dementias (ADRD) is increasing nationally and globally, with disproportionate impacts on lower-income, lower education and systematically marginalised older adults. Presence of inequalities...