Physical Neighborhood Characteristics Research Articles

Health equity in urban and rural settings: implementation of the place standard tool in Spain.

The physical, social, and economic characteristics of neighborhoods and municipalities determine the health of their residents, shaping their behaviors and choices regarding health and well-being. Addressing local environmental inequalities requires an intersectoral, participatory, and equity-focused approach. Community participation plays a vital role by providing deeper insights into local contexts, integrating community knowledge and values into processes, and promoting healthier, fairer, and more equitable actions. In recent years, various tools have been developed to assess places and transform them into health-promoting settings. One such tool, the Place Standard Tool (PST), facilitates discussions on Social Determinants of Health grouped into 14 themes, serving as a starting point for local health interventions. In this study, that took place between August 2019 and February 2020, we described the resident's perceptions of two municipalities in the Valencian Community, Spain, using the validated Spanish version of the PST. A mixed-method convergent-parallel design was used to gain a holistic insight into residents' experiences concerning their physical, economic, and social environment. A total of 356 individuals from both municipalities participated in the study through discussion groups, structured interviews, and online survey. Descriptive analysis of the individual questionnaire answers was conducted, and differences between municipalities were explored. Qualitative thematic analysis was conducted on structured interviews and discussion groups. Quantitative and qualitative data were integrated to facilitate their comparison and identify areas of convergence or divergence in the findings. Overall, rural areas received more favorable evaluations compared to urban ones. Public Transport as well as Work and Local Economy were consistently rated the lowest across all groups and contexts, while Identity and Belonging received the highest ratings. In the urban area, additional negative ratings were observed for Traffic and Parking, Housing and Community, and Care and Maintenance. Conversely, Identity and Belonging, Natural Spaces, Streets and Spaces, Social Interaction, and Services emerged as the highest-rated themes overall. In the rural context, positive evaluations were given to Walking or Cycling, Traffic and Parking, Housing and Community, and Influence and Sense of Control. Significant differences (p < 0.01) between urban and rural settings were observed in dimensions related to mobility, spaces, housing, social interaction, and identity and belonging. Our study illustrated the capacity of the PST to identifying aspects within local settings that influence health, revealing both positive and challenging factors. Successful implementation requires appropriate territorial delineation, support from local authorities, and effective management of expectations. Furthermore, the tool facilitated community participation in decision-making about local environments, promoting equity by connecting institutional processes with citizen needs.

Caring neighbourhood and loneliness: Importance of applying a place-based perspective.

Background: Loneliness is recognized as an important societal challenge, with high policy attention the last years. In Flanders an important policy objective is to counteract loneliness by investing in so-called caring neighbourhoods. Although some research indicates that physical and social neighbourhood characteristics (e.g. public parks, public transportation) affect loneliness, little is known in this respect. &#x0D; Aim: The goal of this workshop is to gain more insight into the relation between the neighbourhood and loneliness. Further, much loneliness research is limited to specific age groups and does not take into account the different dimensions of loneliness (emotional, social and existential). This distinction is nevertheless crucial because interventions that aim to counteract loneliness must be tailored around the unique needs of the individual and must consider specific dimensions of loneliness. &#x0D; Participants: The workshop is for everyone interested in how neighbourhood characteristics impact loneliness among people of all ages, and on how to deal with this in research and practice. Both people with and without experience in the subject are welcome.&#x0D; Design of the workshop:&#x0D; 1.Inspirational presentations (40’)&#x0D; •Insight into loneliness prevalence. Hannelore Stegen conducted a systematic literature review and meta-analysis on the prevalence of loneliness among community-dwelling older people. We will discuss how different measurement instruments and modes of datacollection lead to different results.&#x0D; •Presentation of the FWO-SBO project ‘A Lonely Planet?’. In this part, we discuss which neighbourhood characteristics relate to the risk of loneliness. Leen Heylen, Liesbeth De Donder and Jasper De Witte present the first results of the interuniversity research project A Lonely Planet? Addressing LONELIness from a PLAce-based perspective: research on the influence of Neighbourhood and Environment. Goal is to increase our understanding on the role of neighbourhood characteristics in loneliness.&#x0D; •Third, SAAMO Limburg &amp; West-Vlaanderen (i.e. Community Building Organisation) add a practitioner perspective. Together we dive into possibilities on how to deal with tackling and preventing loneliness in caring neighbourhoods. Which neighbourhood level practices can prevent or alleviate loneliness? They present their experiences with several practical projects. &#x0D; •After each presentation, space is reserved for questions and reflections of the audience. &#x0D; 2.Interactive work-tables. Through interactive “work-tables” with the participants, we aim to formulate specific recommendations on how to prevent and counteract loneliness from a neighbourhood perspective. (35’)&#x0D; Table 1: Which neighbourhood characteristics relate to the risk of loneliness among adults?&#x0D; Table 2: How do neighbourhood characteristics relate to the risk of loneliness among adults?&#x0D; Table 3: In which manner can loneliness be prevented and alleviated on a neighbourhood level?&#x0D; 3.Closing: plenary ‘sharing’ session (15’)&#x0D; A participant of each table shares the main take-away-home messages from their table. &#x0D; End goal: The goal of this workshop is to create awareness among the participants about the impact that neighbourhood characteristics can have on the level of loneliness among people of all ages, as well as on how to deal with it in practice, research and policy. The co-created content of the workshop will be gathered in a report and shared on the website of “A Lonely Planet”.

DO SLEEP QUALITY AND SOCIAL COHESION MEDIATE ASSOCIATION BETWEEN NEIGHBORHOOD DISORDER AND COGNITIVE FUNCTIONING?

Abstract Daily exposure to neighborhoods with high levels of disorder, such as public drinking, graffiti, and vandalism, has been linked to worse cognitive functioning and a higher risk for dementia in older adults. The present study examined the association between neighborhood disorder and cognitive functioning. This study also examined sleep quality and social cohesion as potential mediators of this association using Hayes’ (2013) Macro Process via bootstrapping method. The sample included cross-sectional data for 2,529 older adults (1,115 men and 1,482 women, age 70+) using the 2021 National Health and Aging Trends Study. Neighborhood disorder was measured as a 3-item scale capturing physical neighborhood characteristics completed by the interviewer (e.g., trash on sidewalks). The social cohesion scale measured participant agreement with 3 questions about their community (e.g., “People can be trusted”). The sleep quality scale measured participant responses to 3 questions about their sleep in the last month (e.g., taking 30+ minutes to fall asleep). Cognitive functioning was assessed using performance on tasks evaluating memory, orientation, and executive functioning. Results showed greater neighborhood disorder was associated with worse performance on cognitive tasks (B=-0.417; p&amp;lt;0.001). Results of mediation testing indicated that social cohesion was a significant mediator (B=0.224; p&amp;lt;0.0001). Though sleep quality was not a mediator, better sleep quality was associated with better cognitive functioning (B=0.053; p&amp;lt;0.05). Understanding the contribution of neighborhood disorder, sleep quality, and social cohesion to cognitive functioning will inform neighborhood-level interventions that can buffer cognitive decline in older adults aging in place.

Time trends in associations between neighbourhood and school characteristics and mental health problems among Dutch adolescents

We investigated trends in associations between physical and social neighbourhood and school characteristics and adolescent mental health problems between 2005 and 2017. Nationally representative, repeated cross-sectional data collected in the Netherlands among primary (N = 5,871) and secondary school students (N = 20,778) were analysed through cross-classified multilevel models. Hardly any evidence was found for over-time changes in associations between neighbourhood and school characteristics and adolescent mental health problems. Findings showed that for both groups of students, only social characteristics within the two contexts were associated with adolescent mental health problems. For secondary school students, school effects were larger than neighbourhood effects, while the opposite was true for primary school students. Specifically, primary school students residing in more socially fragmented or lower socioeconomic status (SES) neighbourhoods, and lower SES schools, reported more conduct problems and peer relationship problems. For secondary school students, only the SES of the neighbourhood and the school was associated with all four aspects of mental health problems. Remarkably, the direction of the associations between neighbourhood/ school SES and adolescent mental health problems varied across the different mental health outcomes. More research is warranted to replicate our findings.

Health Outcomes by Neighborhood (HON): Effects of Neighborhood, Social Instability, and Health Factors on 12-Month Trajectories of Substance-Use Disorder Symptoms

Background Previous studies have shown that environment and health can influence drug use trajectories and the effects of substance use disorder (SUD) treatments. We hypothesized that trajectories of drug use-related problems, based on changes in DSM-5 symptoms, would vary by type(s) of drugs used, health factors, and neighborhood characteristics. Methods We assessed mental and physical health, stress, social instability, neighborhood characteristics (disorderliness and home value), and DSM-5 symptom counts at two study visits, 12 months apart, in a community sample (baseline N = 735) in Baltimore, MD. Three prominent categories of drug-use trajectory were identified with K-means cluster analysis of symptom counts: Persistent (4 or more symptoms at both visits or at Visit 2), Improved (decrease from 4 or more symptoms at Visit 1 to 3 or fewer symptoms at Visit 2), and Low-Stable (3 or fewer symptoms at both visits). Baseline health and neighborhood measures were tested as predictors of trajectory in mediation and moderation models. Results Among people with current opioid- and/or stimulant-use, odds of an Improved trajectory were (1) decreased with neighborhood disorder and social instability, or (2) increased with home value and social instability. Odds of a Low-Stable trajectory were decreased by social instability and stress but increased in those who were older or self-identified as white. Conclusions Trajectories of drug use-related problems are influenced by sociodemographic variables, neighborhood factors, and health. Assessing DSM-5 symptom counts as an outcome measure may be valuable in monitoring or predicting long-term trajectories and treatment effectiveness.

Housing return volatility in large metropolitan areas in the United States across market cycles (2000–2022)

This study compares the inter- and intra-metropolitan patterns of housing return volatility in four market phases (boom, bust, recovery, and pandemic) in the United States between 2000 and 2022. The study finds a weak correlation between the physical characteristics of neighborhoods and housing market volatility. Notably, higher-density neighborhoods show greater market volatility throughout the boom, bust, and recovery phases but the trend is reversed during the pandemic period. However, the sociodemographic composition of neighborhoods exhibits a stronger correlation with market volatility. Specifically, housing markets in Black neighborhoods demonstrate persistently higher volatility, irrespective of market fluctuations. Similarly, low-income neighborhoods are consistently associated with greater volatility before the pandemic. The study does not find a consistent association between housing supply and market volatility across the four market phases. It shows that during the 2008 housing downturn, housing markets were less volatile in metropolitan areas with stricter land use regulations, less developable land, fewer home constructions, and better natural amenities.

Social and physical neighbourhood characteristics and 10-year incidence of depression and anxiety in older adults: Results from the Longitudinal Aging Study Amsterdam

ObjectiveA growing literature suggests that neighbourhood characteristics are associated with mental health outcomes, but the evidence in older adults is inconsistent. We investigated the association of neighbourhood characteristics, pertaining to demographic, socio-economic, social and physical environment domains, with the subsequent 10-year incidence of depression and anxiety, in Dutch older adults. MethodsIn the Longitudinal Aging Study Amsterdam depressive and anxiety symptoms were assessed four times between 2005/2006 and 2015/2016, using the Center for Epidemiological Studies Depression Scale (n = 1365) and the Anxiety subscale of the Hospital Anxiety and Depression Scale (n = 1420). Neighbourhood-level data on urban density, percent population over 65 years of age, percent immigrants, average house price, average income, percent low-income earners, social security beneficiaries, social cohesion, safety, proximity to retail facilities, housing quality, percent green space, percent water coverage, air pollution (particulate matter (PM2.5)), and traffic noise, were obtained for study baseline years 2005/2006. Cox proportional hazard regression models, clustered within neighbourhood, were used to estimate the association between each neighbourhood-level characteristic and the incidence of depression and anxiety. ResultsThe incidence of depression and anxiety was 19.9 and 13.2 per 1000 person-years, respectively. Neighbourhood characteristics were not associated with the incidence of depression. However, various neighbourhood characteristics were associated with an increased incidence of anxiety, including: higher urban density level, higher percent immigrants, greater proximity to retail facilities, lower housing quality score, lower safety score, higher PM2.5 levels and less green space. ConclusionOur results indicate that several neighbourhood characteristics are associated with anxiety but not with depression incidence in older age. Several of these characteristics have the potential to be modifiable and thus could serve as a target for interventions at the neighbourhood-level in improving anxiety, provided that future studies replicate our findings and provide further evidence for a causal effect.

Examining Place-Based Neighborhood Factors in a Multisite Peer-Led Healthy Lifestyle Effectiveness Trial for People with Serious Mental Illness.

People with severe mental illness (SMI) experience significantly higher obesity-related comorbidities and premature mortality rates than healthy populations. The physical and social characteristics of neighborhoods where people with SMI reside can play an important role in promoting or hindering healthy eating and physical activity. However, this is seldom considered when designing and testing health behavior interventions for these populations. This study used baseline data from an obesity control trial for low-income, minority people with SMI to demonstrate the utility of assessing neighborhood- and city-level place-based factors within the context of lifestyle interventions. GIS was used to create a zip-code-level social and built environment geodatabase in New York City and Philadelphia, where the trial occurred. Chi-square and t-tests were used to assess differences in the spatial distribution of health-related built and social environment characteristics between and within cities and diet and physical activity outcomes. All types of neighborhood characteristics showed significant environmental differences between and within cities. Several neighborhood characteristics were associated with participants' baseline healthy eating and physical activity behaviors, emphasizing that place-based factors may moderate lifestyle interventions for SMI patients. Future behavioral interventions targeting place-dependent behaviors should be powered and designed to assess potential moderation by place-based factors.

Neighborhood Built Environment and Sleep Health: A Longitudinal Study in Low-Income and Predominantly African-American Neighborhoods.

In the present study, we examined the associations between physical characteristics of neighborhoods and sleep health outcomes and assessed the mediating role of physical activity in these associations. A longitudinal study (the Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health (PHRESH) Zzz Study; n=1,051) was conducted in 2 low-income, predominately African-American neighborhoods in Pittsburgh, Pennsylvania, with repeated measures of neighborhood characteristics and sleep health outcomes from 2013 to 2018. Built environment measures of walkability, urban design, and neighborhood disorder were captured from systematic field observations. Sleep health outcomes included insufficient sleep, sleep duration, wakefulness after sleep onset, and sleep efficiency measured from 7-day actigraphy data. G-computations based on structural nested mean models were used to examine the total effects of each built environment feature, and causal mediation analyses were used to evaluate direct and indirect effects operating through physical activity. Urban design features were associated with decreased wakefulness after sleep onset (risk difference (RD) = -1.26, 95% confidence interval (CI): -4.31, -0.33). Neighborhood disorder (RD = -0.46, 95% CI: -0.86, -0.07) and crime rate (RD = -0.54, 95% CI: -0.93, -0.08) were negatively associated with sleep efficiency. Neighborhood walkability was not associated with sleep outcomes. We did not find a strong and consistent mediating role of physical activity. Interventions to improve sleep should target modifiable factors, including urban design and neighborhood disorder.

The Neighborhood Impact of Industrial Blight: A Path Analysis

Abstract Historically, industry shaped the space-economy of the American city, a major source of employment opportunity for residents that selected housing nearby or within a convenient or affordable commuting distance. However, the contemporary American city is structurally characterized by abandoned, blighted, vacant industrial properties due to urban expansion, deindustrialization and the suburbanization of both jobs and population. The urban studies literature rarely documents the neighborhood impact of industrial blight akin to studies of residential blight. We determine the proximity-effect of industrial blight on the neighborhood thought of not as an isolated and closed entity, but as a connected and open entity within the city and the region. Unlike studies confined to the property value impact, we determine Pearson correlations of industrial blight and vacancy expansively with the socio-economic and physical characteristics of neighborhoods. We use path analysis to determine direct, indirect, and total neighborhood impact of industrial blight and vacancy. The census block group and parcel-level geographic information system (GIS) provide our principal sources of data. The block group geography contains the neighborhood as a fundamental spatial unit. We determine how the neighborhood impact varies with distance from the blighted, vacant industrial property.

Impact of particulate matter and urban spatial characteristics on urban vitality using spatiotemporal big data

The rapid development of cities has caused various environmental problems. Recently, in Korea, citizens' interest and concerns regarding particulate matter are on the rise. Particulate matter has an adverse impact on the health and activities of individuals, and this can lead to a decline in urban vitality. The maintenance and management of urban vitality is essential for ensuring a sustainable and livable city; consequently, an understanding of environmental impact is indispensable. Thus, this study aims to demonstrate the impact of particulate matter on urban vitality by using the spatiotemporal big data of particulate matter and floating population that targets Seoul—a world-class high-density city in South Korea. Further, it aims to examine the impact of the spatial and physical characteristics of neighborhoods on the vitality of cities and neighborhoods. The data analyzed the impact of particulate matter on neighborhood vitality by using a spatial panel model that considered the characteristics of time series and local data. The analysis demonstrated that the impact of particulate matter varied during weekdays and weekends. It did not significantly affect the numerous mandatory activities of city dwellers and vitality on weekdays. However, on weekends, when there are relatively more selective activities, particulate matter was found to affect the decline of urban vitality. This means that people are very anxious about particulate matter, and that it leads them to reduce their visits whenever possible on weekends, when selective activities are predominant. In the spatial characteristics of the neighborhood, the degree of development, land use for commercial and business purposes, land-use mix, access to public transportation, and pedestrian environment were found to significantly impact the increase of urban vitality. However, areas with significant land use for residential and industrial purposes, and areas with high altitudes were found to have relatively low urban vitality. Parks and living infrastructure had different effects on urban vitality depending on the type. This study's results can be utilized to establish various policies related to particulate matter and devise measures to enhance urban vitality.

Piloting the Use of Concept Mapping to Engage Geographic Communities for Stress and Resilience Planning in Toronto, Ontario, Canada.

The physical and social characteristics of urban neighborhoods engender unique stressors and assets, contributing to community-level variation in health over the lifecourse. Actors such as city planners and community organizations can help strengthen resilience in places where chronic stress is endemic, by learning about perceived stressors and assets from neighborhood users themselves (residents, workers, business owners). This study piloted a methodology to identify Toronto neighborhoods experiencing chronic stress and to engage them to identify neighborhood stressors, assets, and solutions. Crescent Town was identified as one neighborhood of interest based on relatively high levels of emotional stress in Twitter Tweets produced over two one-year periods (2013–2014 and 2017–2018) and triangulation using other neighborhood-level data. Using concept mapping, community members (n = 23) created a ten-cluster concept map describing neighborhood stressors and assets, and identified two potential strategies, a Crescent Town Residents’ Association and a community fair to promote neighborhood resources and build social networks. We discuss how this knowledge has circulated through the City of Toronto and community-level organizations to date, and lessons for improving this methodology.

Understanding the Multi-level Interactions Between Physical Environment and Neighborhood Characteristics in Assessing Vulnerability to Crime in Micro-places

Spatial crime risk assessment is based on the identification of the environmental conditions that could facilitate crime. Previous applications of this approach mainly rely on single-level analyses neglecting that different contextual factors are likely to influence crime at different geographical levels and to interact with one another in defining crime risk. This study proposes to innovate this approach by using a multi-level analysis and estimating the interaction terms among environmental features and neighborhood characteristics. An empirical test is conducted in a large urban area. The results prove that this method significantly increases the predictive capacity and favors more complete interpretations of the underlying criminogenic mechanisms, thus orienting more effective consequential actions.

Spatial Regression Modeling Approach for Assessing the Spatial Variation of Air Pollutants

Over the past decades, industrialization has resulted in radical economic development in Korea. The resulting urban sprawl and unsustainable development have led to considerable air pollution. In this study, using spatial regression models, we examine the effects of the physical and socioeconomic characteristics of neighborhoods on particulate matter (PM10, PM2.5), NO2, CO, and SO2 concentrations in the Daegu Metropolitan area. Results reveal the following: (i) the socioeconomic characteristics were not statistically significant regardless of the air pollutant type; (ii) the effects of the built environment characteristics of the neighborhoods were different for each air pollutant. Compared with other pollutants, PM2.5 was affected more by the built environment. Concerning the neighborhoods’ main roads, the SO2 concentration was higher, that of PM2.5 was higher in neighborhoods with more bus stops, and those of CO and PM2.5 were possibly higher in the neighborhood of industrial zones. In neighborhoods with parks and green areas, air pollutant concentrations are likely to be lower. When the total used surface of residential buildings was higher, the air pollutant concentrations were lower. Contextually, similar neighborhoods with more single-family houses seemed to have high pollution levels. Overall, this study is expected to guide policymakers and planners in making smart decisions for eco-friendly and healthy cities.

Physical Activity Patterns and Neighborhood Characteristics of First-Generation Latina Immigrants Living in Arizona: Cross-sectional Study.

BackgroundMetabolic diseases, including obesity and type 2 diabetes, are a major health concern for Latina immigrants. Performing regular aerobic physical activity (PA) is a lifestyle behavior associated with the prevention and control of these conditions. However, PA levels of most Latina immigrants are below national guidelines. Neighborhood environmental factors may influence the PA levels of adults, but limited research has explored associations between the neighborhood environment and PA levels among Latina immigrants.ObjectiveThe objective of this study was to explore the PA patterns of first-generation US Latina immigrants and how neighborhood environmental factors are related to those PA patterns.MethodsUsing a cross-sectional study design, 50 first-generation Latina immigrants completed the International Physical Activity Questionnaire (IPAQ) and the Neighborhood Scales Questionnaire, which assessed 6 perceived neighborhood factors: (1) walking environment, (2) aesthetic quality, (3) safety, (4) violence, (5) social cohesion, and (6) activities with neighbors. Median self-reported metabolic equivalent (MET)-minutes/week of PA were used to summarize domain-specific (ie, work, domestic/household, leisure, and transportation) and intensity-specific (ie, walking, moderate, vigorous, moderate to vigorous) PA patterns. Logistic regression examined associations between neighborhood factors and engaging in leisure-time PA (ie, dichotomous outcome of some versus no leisure-time PA), transportation PA (ie, dichotomous outcome of some versus no transportation PA), and meeting national PA guidelines (ie, dichotomous outcome of meeting versus not meeting guidelines).ResultsPreliminary analyses showed that 10 participants reported excessively high PA levels and 1 participant had incomplete PA data; these women were excluded from analyses based on IPAQ scoring guidelines. The remaining 39 participants (mean age 40.5 years; mean length of US residency 4.6 years) reported a median of 4512 MET-minutes/week of total PA. The majority of PA was acquired through domestic activities (median 2160 MET-minutes/week), followed by leisure-time PA (median 396 MET-minutes/week), transportation PA (median 198 MET-minutes/week), and work PA (0 MET-minutes/week). Intensity-specific PA patterns showed a median of 594 MET-minutes/week of walking activity and 3500 MET-minutes/week of moderate-to-vigorous PA. Logistic regression models indicated that the neighborhood factors of walking environment, aesthetic quality, and safety were positively associated with engaging in leisure-time PA (odds ratios of 5.95, 95% CI 1.49-23.74; 2.45, 95% CI 1.01-5.93; and 3.30, 95% CI 1.26-8.67, respectively) and meeting national PA guidelines (odds ratios of 4.15, 95% CI 1.13-15.18; 6.43, 95% CI 1.45-28.39; and 2.53, 95% CI 1.00-6.36, respectively). The neighborhood factors of violence, social cohesion, and activities with neighbors were not significantly associated with PA outcomes.ConclusionsAlthough most participants met national PA guidelines (ie, ≥500 MET-minutes/week of moderate-to-vigorous PA), the majority of their PA was achieved through domestic activities, with limited leisure, transportation, and work PA. Given that leisure-time PA in particular plays a significant role in improving health outcomes, findings suggest that many Latina immigrants could benefit from a leisure-time PA intervention. Such interventions should consider neighborhood environmental influences, as these factors may serve as determinants of PA.

Realtors' Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective.

Realtors match home-seekers with neighborhoods that have built and social characteristics they desire to pursue active lifestyles. Studies have yet to explore realtors’ perspectives on neighborhood design that supports active living. Using qualitative description, our study was to explore the perceptions and understandings of neighborhood design (walkability, healthy, bike-ability, vibrancy, and livability) among urban residential realtors. Nineteen (6 men; 13 women; average age 48 years) self-identified residential realtors from Calgary, Edmonton, and Lethbridge (Canada) completed semi-structured telephone interviews. Content analysis identified themes from the interview data. Specifically, walkability was described as: perceived preferences, destinations and amenities, and connections; a healthy community was described as: encourages outdoor activities, and promotes social homogeneity; bike-ability was described as: bike-ability attributes, and was controversial; vibrancy was described as: community feel, and evidence of life; and livability was described as: subjective, and preferences and necessities. Our findings can inform the refinement of universal definitions and concepts used to in neighborhood urban design.

Social and physical neighbourhood characteristics and loneliness among older adults: results from the MINDMAP project

BackgroundLoneliness is associated with several adverse mental and physical health outcomes in older adults. Previous studies have shown that a variety of individual-level and perceived area-level characteristics are associated with...

Uncertain space: Data illusions and the landscape of illness in the 21st century

Disease mapping offers certainty in the face of disease outbreaks. Spatially locating illness lets the average person assess their proximity to risk and appears to tie it to specific environmental conditions. During the cholera and yellow fever epidemics of the mid- to late 1800’s, disease mapping was a major factor in decision-making that shaped our environment. In the early 1900’s when hay fever and pulmonary illness continued to wrack urban environments, narrative medical geographies provided written depictions of healthy rural regions to contrast against congested urban cities with experimental maps linking climate, topography and airflow with emerging medical knowledge of respiratory systems and circulation. However, as germ theory and vaccines decoupled environment and illness, the relationship between the physical qualities of the immediate landscape and outbreaks became less important than its simple locus. In this exploratory essay, I discuss how this decoupling has allowed for the wholesale stigmatization of both places and marginalized populations, particularly in the cases of urban blight and the AIDS epidemic. Although we are currently in an era of abundant personal and spatial data, it has proven difficult to tie contemporary public health issues back to the environment, even in cases like obesity where there are tangible connections to the physical and social characteristics of neighborhoods, due to the way this data is collected and structured. Nuanced shifts in the built environment, social determinants of health, and invisible histories of policy and environmental change have on-the-ground impacts as well, and to better understand the nature of today’s landscape of disease, we must find a way to represent them spatially.

Identification of Effective Programs to Improve Access to and Use of Trails among Youth from Under-Resourced Communities: A Review.

The primary purpose of this paper is to identify and review studies evaluating the effectiveness of programs to increase access to trails and trails use (physical activity) among youth from under-resourced communities. Three additional goals include identifying: (1) Correlates of physical activity/trail use and features of transportation systems and/or built environment and land use destinations, that may inform and support the planning and implementation of programs to promote trail use among youth, (2) benefits associated with trail use, and (3) barriers to trail use. Under-resourced communities are defined as those lacking sufficient resources (i.e., under-funded). METHODS: A review of the literature was conducted to identify, abstract, and evaluate studies related to programs to promote trail use among youth and youth from under-resourced communities. In anticipation of very few studies being published about this topic, studies were also reviewed to identify correlates of transportation systems and built environment and land use destinations related to increases in physical activity, and benefits of, and barriers to trail use. PUBMED, MEDLINE, PsycINFO, Sportdiscus, Annual Reviews, American Trails, and Google Scholar databases were searched using terms including trails, built environment, physical activity, exercise, walking, children, adolescents, and youth to identify studies that potentially related to the purposes for conducting this review. Review methods identified, 5278 studies based on our search terms. A review of study titles, abstracts, and select full article screens determined that 5049 studies did not meet the study inclusion criteria, leaving 221 studies included in this review. RESULTS: No studies were located that evaluated programs designed to promote and increase trail use among youth, including youth from under-resourced communities. Eight studies used longitudinal or quasi-experimental designs to evaluate physical activity and neighborhood characteristics prospectively among adolescent girls (n = 1), the effects of the path or trail development on physical activity behaviors of children, youth, and adults (n = 4), marketing or media campaigns (n = 2), and wayfinding and incremental distance signage (n = 1) to promote increased trail use. Correlates of transportation systems (e.g., trail access, road traffic congestion related to safe active travel, lack of sidewalks, closer proximity to trails, access to transportation), destinations (e.g., park availability and access, park improvements, greenspaces), or both routes and destinations (e.g., perceptions of safety, lighting), were identified. These correlates may support the planning and implementation of programs to increase trail use among youth, or may facilitate the connection of trails or routes to destinations in communities. Barriers to trail use included costs, crime, lack of transportation, lack of role models using trails, and institutional discrimination. Conclusions: Scientific evidence in support of addressing the underrepresentation of trail use by youth from under-resourced communities is lacking. However, there is a related body of evidence that may inform how to develop programs that support trail use by youth from under-resourced areas. Dedicated, deliberate, and systematic efforts will be required to address research and knowledge gaps, and to evaluate programs and practice related to trail use among youth from low income, often racially or ethnically diverse under-resourced neighborhoods or communities.

Neighborhood characteristics, neighborhood satisfaction, and well-being: The links with neighborhood deprivation

It has been argued that the residential environment could play a role in the lower health and well-being commonly found in deprived areas. Yet, more knowledge is needed on how residential environmental quality together with neighborhood satisfaction relate to neighborhood socioeconomic deprivation. This paper explores the links between neighborhood deprivation and neighborhood characteristics, neighborhood satisfaction, and well-being, using survey and geospatial data from Oslo. Findings on physical neighborhood characteristics show that deprived neighborhoods are not underprivileged in terms of green space, public transport, and local amenities. However, perceived neighborhood characteristics – evaluated by their residents – were found to be negatively associated with neighborhood deprivation. These results suggest that deprived neighborhoods have higher perceived noise and lower perceived safety, cleanliness, aesthetic quality, reputation, and place attachment. Neighborhood satisfaction and emotional response to neighborhood were found to be lower in deprived neighborhoods. Overall, evidence from this study suggests that even when green space, public transport, and local amenities are evenly distributed, residents of deprived neighborhoods may still experience lower levels of neighborhood satisfaction and lower emotional response to neighborhood due to differences in neighborhood qualities such as perceived safety, noise, and place attachment.