A systematic review of built environment and health

Community built environment attributes moderate the relationship between family support and depression among older adults in urban China

BACKGROUND

This study examined the moderating effects of built environment attributes on the relationship between family support and depressive symptoms among community-dwelling older adults in urban China.

METHODS

Quota sampling was used to recruit participants from Tianjin (one of the four municipalities in China) and Shijiazhuang (the capital city of Hebei Province). Face-to-face interviews were conducted with 799 respondents aged 60 years and older, in either their homes or local community centers. Multi-level modeling was used to test the proposed model.

RESULTS

This study found that family support was negatively associated with depressive symptoms. Green spaces were negatively associated with depressive symptoms among older participants, although most indicators of the objective built environment attributes were not. The moderation analysis revealed a significant interaction effect between family support and green spaces on depressive symptoms. Specifically, living in areas with a higher percentage of green spaces may mitigate the negative effects of lower levels of family support on depression.

CONCLUSIONS

This study contributes a new direction for investigating the relationship between family support and depressive symptoms among community-dwelling older adults in China by considering the moderating effect of objective built environment attributes. The findings may guide practices and urban design in mental health promotion for older adults. Specifically, this study provides evidence useful for both policy designers and urban planners by highlighting modifiable environmental and objective factors that can promote community mental health for older adults who find it difficult to obtain family support in modern society.

Adaptation of the Stakeholders' Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study

BACKGROUND

The prevalence of sensory, cognitive, and mobility disabilities in Canada underscores the need to address environmental barriers. This study adapts and validates the Stakeholders' Walkability/Wheelability Audit in Neighborhoods (SWAN) tool to assess the challenges the built environment poses for individuals with disabilities, aiming to inform policy changes for accessibility and inclusivity.

OBJECTIVE

This study aims to (1) adapt the SWAN tool for those with hearing, vision, or cognitive disabilities; (2) validate SWAN tool for researching environmental barriers for people with disabilities, including older adults; and (3) offer insights for policy changes in the built environment, contributing to literature and guiding future research.

METHODS

The study uses a community-based research approach, carried out over 4 phases within an 18-month period in British Columbia. Phase 1 includes adapting and pilot-testing of the SWAN tool. In Phase 2, street intersections are identified for data collection using Geographic Information System tools and consultations with municipal officials. Phase 3 involves recruiting participants across four disability categories. The final phase includes analyzing the data and disseminating findings.

RESULTS

Data collection concluded in September 2024, involving 80 eligible participants across four streams in preidentified hotspots. The results are expected to be published in March 2025. To date, data collection is ongoing, and we are currently in the process of data analysis.

CONCLUSIONS

This study will contribute to the growing body of research on built environment accessibility by adapting the SWAN tool for individuals with diverse disabilities. By identifying key barriers in urban spaces, the study aims to inform policy changes that will lead to more inclusive, accessible, and safe urban environments for all individuals.

The Built Environment, PTSD Symptoms, and Tobacco Use among Permanent Supportive Housing Residents

INTRODUCTION

50% of permanent supportive housing (PSH) residents in the U.S. smoke cigarettes, and tobacco-related mortality is their number one cause of death. Over 30% of PSH residents have post-traumatic stress disorder (PTSD), and many perceive their built environment (e.g., housing) as inadequate for mental and physical health recovery. It is unknown whether built environment factors moderate the relationship between PTSD and tobacco use among PSH residents.

METHODS

We used baseline data from 400 participants in a smoke-free home intervention in PSH sites in the San Francisco Bay Area between 2022 and 2024. We explored whether perceived housing quality and perceived neighborhood safety moderated the relationship between PTSD symptoms and cigarettes per day (CPD) using linear mixed models.

RESULTS

62.8% of the participants were male, 41.8% were Black, 30.5% screened positive for PTSD, 54.3% rated their housing as average/poor, and the mean neighborhood safety score was 3.4 (SD 0.9). Mean CPD was significantly higher in participants with PTSD compared to those without PTSD among participants who rated their housing as good/excellent (5.1; 95% CI: 2.7, 7.5) or their neighborhood as safer (7.8; 95% CI: 2.8, 12.8). Mean CPD was not significantly different between those with and without PTSD among participants who rated their housing as average/poor or their neighborhood as less safe.

CONCLUSIONS

Perceived housing quality and neighborhood safety moderated the association between PTSD symptoms and CPD. Findings have implications for developing trauma-informed, multi-level interventions for tobacco use that combine individually directed approaches with those that consider the built environment.

Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of COVID-19 studies

The triad of host, agent, and environment has become a widely accepted framework for understanding infectious diseases and human health. While modern medicine has traditionally focused on the individual, there is a renewed interest in the role of the environment. Recent studies have shifted from an early-twentieth-century emphasis on individual factors to a broader consideration of contextual factors, including environmental, climatic, and social settings as spatial determinants of health. This shifted focus has been particularly relevant in the context of the COVID-19 pandemic, where the built environment in urban settings is increasingly recognized as a crucial factor influencing disease transmission. However, operationalizing the complexity of associations between the built environment and health for empirical analyses presents significant challenges. This study aims to identify key caveats in the operationalization of spatial determinants of health for empirical analysis and proposes guiding principles for future research. We focus on how the built environment in urban settings was studied in recent literature on COVID-19. Based on a set of criteria, we analyze 23 studies and identify explicit and implicit assumptions regarding the health-related dimensions of the built environment. Our findings highlight the complexities and potential pitfalls, referred to as the 'spatial trap,' in the current approaches to spatial epidemiology concerning COVID-19. We conclude with recommendations and guiding questions for future studies to avoid falsely attributing a built environment impact on health outcomes and to clarify explicit and implicit assumptions regarding the health-related dimensions.

Longitudinal effects of the built environment on transportation and recreational walking and differences by age and sex: A systematic review

Non-communicable diseases (NCDs) and physical inactivity, a well-established risk factor, are prevalent in high-income countries. Walking is an effective means of improving population physical activity levels. Previous, mostly cross-sectional research finds that the built environment encourages or discourages walking for transport and recreation, with this association varying for different age groups and sexes. The objective of this systematic review is to synthesise longitudinal evidence to better understand the built environment in determining transport and recreational walking for men, women, working aged adults, and older adults in high-income countries. A systematic literature search for peer-reviewed journal articles in English was carried out using seven electronic databases. To be included, studies had to be conducted in a high-income country, employed a longitudinal design, used objectively measured neighbourhood attributes, and quantitatively assessed how the built environment impacts transport and recreational walking for adults. The methodological quality of the studies was evaluated using an established instrument. In total, 23 longitudinal studies published between 2012 and 2022 were identified. Notably, the evidence was inconclusive for age- and sex-specific population sub-groups due to the limited number of studies. However, in the general population, we found prospective evidence more consistently supporting the idea that increasing street connectivity, destination accessibility, and access to transit contribute to higher levels of transport walking. Furthermore, we found mixed evidence for the associations of road attributes and residential density with transport walking, as well as for street connectivity and destination accessibility with recreational walking. The findings of the review emphasize the importance of designing neighbourhoods supportive of transport and recreational walking to increase physical activity and, therefore, mitigate NCDs in high-income countries. Further longitudinal studies are needed to investigate how changes in built environment attributes influence transport and recreational walking differently among males, females, working aged adults, and older adults.

Multi-Family Housing Environment and Physical Activity: A Systematic Review of the Literature

OBJECTIVE

To identify environmental features of multi-family housing (MFH) and their surrounding neighborhoods that influence residents' physical activity (PA).

DATA SOURCE

Articles published between January 2000 and September 2023 were identified from major social science, medical, health, behavioral science, and urban studies databases.

STUDY INCLUSION AND EXCLUSION CRITERIA

Studies were included if they (a) were empirical studies published in peer-reviewed journals and written in English; (b) focused on the MFH environment or the surrounding neighborhood; and (c) had at least one PA outcome.

DATA EXTRACTION

Data was extracted regarding the study objective, location, study sample, research design, results related to MFH and neighborhood environment, and limitations.

DATA SYNTHESIS

Descriptive summary of study characteristics and analysis to identify emerging themes at three spatial scales (i.e., building, site, and neighborhood).

RESULTS

Findings from 35 identified articles revealed factors influencing MFH residents' PA. On the building level, typology (apartment, townhouse) and tenure (public, market rent) showed contrasting correlations with PA in different age groups. On the site level, the presence of PA facilities and safe, walking-friendly environments promoted PA. On the neighborhood level, safety, quality of PA and pedestrian infrastructure, upkeep, air quality, aesthetics, neighborhood satisfaction, street connectivity, walkability, land use mix, density, and public transport promoted PA.

CONCLUSION

Study findings highlight the importance of the MFH environments in promoting PA, especially in older adults and young children. With increasing housing demand, understanding diverse MFH typologies and the impact of interventions on multi-spatial scales can help promote healthy and activity-friendly communities.

Associations of built environment features with multimorbidity: A systematic review protocol

Introduction

Preventing or delaying multimorbidity (people living with two or more chronic conditions) is a public health priority. It is currently uncertain if multimorbidity is associated with features of the built environment, a term describing human-made or modified features of the surroundings in which humans live.

Aims

To undertake a systematic review of the literature to determine if built environment features and interventions are associated with multimorbidity and to review the analytical methods used and their implications for causal inference.

Methods

Four databases will be searched (Medline, Embase, Science Citation Index Expanded, and Social Sciences Citation Index) using a prespecified search strategy that incorporates terms for both multimorbidity and the built environment, which includes aspects of neighbourhood design, transport interventions, natural environment, food environments, and housing. Inclusion criteria will include: 1) involves community-based adult populations not selected based on an index condition; and 2) a built environment exposure or intervention was assessed; and 3) outcomes include multimorbidity prevalence, incidence, or trajectory. Reference lists of included studies and previous reviews will also be searched. Two reviewers will independently screen, data extract, and quality appraise (using the ROBINS-E or RoB 2 tool). Results will be synthesised by meta-analysis or, if heterogeneity is too great, according to Synthesis without meta-analysis (SWiM) guidelines. Results will be grouped by type of exposure or intervention and by study quality.

Conclusions

This systematic review will improve understanding of built environment associations with multimorbidity. It could identify aetiological pathways that support the development of multimorbidity-preventative strategies.

Daily walking time effects of the opening of a multifunctional facility "ONIKURU" using propensity score matching and GPS tracking techniques

Urban design focused on improving walkability has received attention as a method of increasing physical activity among the population. However, only a few studies have examined the effect of walking time of opening multifunctional facilities as an architecture-scale intervention. This study aimed to clarify the effect of opening a multifunctional facility on residents' daily walking time. In addition, this study analyzed the gender and age subgroups. The natural experiment was conducted using the case of the Ibaraki City Cultural and Childcare Complex "ONIKURU," a public multifunctional facility. This study used GPS-trajectory data based on GPS tracking techniques, which is anonymized location data for smartphone users. The causal relationship was analyzed using propensity score matching and difference-in-differences analysis. The results showed that the opening of ONIKURU significantly increased the average walking time of visitors to 3.165 [- 1.697, 8.027] min/day compared with that of non-visitors. Specifically, visitors' average daily walking time improved to a level comparable to that of non-visitors after the opening of ONIKURU. In addition, opening ONIKURU significantly increased female young adults' average walking time to 3.385 [- 4.906, 11.676] min/day. Therefore, this study provides theoretical contributions to a health-promoting built environment significantly affecting walking at an architecture-scale intervention.

‎The association between cumulative exposure to neighborhood walkability (NW) and diabetes risk, a prospective cohort study

PURPOSE

To examine the association between cumulative exposure to neighborhood walkability (NW) and diabetes risk.

METHODS

A total of 11,037 women free of diabetes at enrollment were included. We constructed a 4-item NW index at baseline, and a 2-item average annual NW across years of follow-up that captured both changes in neighborhood features and residential moves. We used multivariable Cox PH regression models with robust variance to estimate the hazard ratios (HRs) of diabetes by NW scores.

RESULTS

Compared with women living in areas with lowest NW (Q1), those living in areas with highest NW (Q4) had 33 % (26 %-39 %) reduced risk of incident diabetes, using baseline NW, and 25 % (95 % CI 11 %-36 %), using average annual NW. Analysis using time-varying exposure showed that diabetes risks decreased by 13 % (10 %-16 %) per -standard deviation increase in NW. The associations remained similar when using inverse probability of attrition weights and/or competing risk models to account for the effect of censoring due to death or non-response. The associations of average annual NW with incident diabetes were stronger in postmenopausal women as compared to premenopausal women.

CONCLUSION

Long-term residence in more walkable neighborhoods may be protective against diabetes in women, especially postmenopausal women.

Using photovoice to investigate patient experiences of lupus nephritis in Canada

OBJECTIVE

Lupus nephritis (LN) is a major cause of morbidity and mortality, affecting up to 60% of patients with systemic lupus erythematosus (SLE). The perspectives of patients with SLE have been explored; however, little is known of the lived experiences of patients with LN.

METHODS

Patients aged ≥18 years with biopsy-proven pure or mixed International Society of Nephrology/Renal Pathology Society Class III, IV or V LN were purposefully recruited from a Canadian lupus cohort to participate in a photovoice (visual-narrative participatory research method) exercise. Participants took photos of what LN means to them, impacts on daily life and factors impacting LN management. Photos were shared and discussed in focus groups.

RESULTS

13 individuals with LN participated (92.3% were female; mean (SD) age was 41.7 (14.0) years). The mean (SD) number of photos shared per participant was 4.2 (0.9). Photos (n=54) depicted activities/settings that contribute to well-being (n=15), the participants themselves (n=13), healthcare experiences (n=10), home (n=4), community (n=2), friends (n=2), work (n=2) and other challenges (n=6). All participants described physical and psychosocial impacts of living with LN. Although 12 mentioned activities/settings that contribute to well-being (eg, time in natural environments), participants were consistently reminded of limitations imposed by LN due to physical symptoms, challenges presented by the physical environment and the altered life trajectories experienced. Participants discussed the dual burden of LN and the associated medication journey; side effects and medication-related financial challenges were highlighted by ten and five participants, respectively.

CONCLUSIONS

Participants reported a substantial psychosocial burden associated with altered life trajectories, the dual burden of LN and the associated medication journey, and the conflicting role of the physical environment. The need for flexibility (ie, from employers, themselves) is an essential component of navigating altered life trajectories.

Effects of Perceived Accessibility to Living Infrastructure on Positive Feelings Among Older Adults

Social participation among older adults is a critical aspect that facilitates the improvement of their overall well-being. A critical factor influencing the social participation of older adults to achieve optimal aging is perceived accessibility to living infrastructure. The study aims to provide a comprehensive analysis of how perceived accessibility to transportation systems, public service facilities, and digital services influences life satisfaction and happiness among older adults. Survey data were collected from 200 households in South Korea and the research paper utilized the Partial Least Squares (PLSs) bootstrapping methodology with 5000 subsample iterations for analysis. The study shows that perceived accessibility to transportation systems, public service facilities, and digital services significantly influenced satisfaction among older adults. Satisfaction, in turn, had a positive effect on happiness. The implications for theory and practical implications were provided for officials and social service professionals concerning the geriatric population.

The role of emotion in urban development decision-making: A qualitative exploration of the perspectives of decision-makers

People's feelings about their neighbourhoods are important for health, but they may be undervalued in urban development decision-making. This study explores how decision-makers understand and respond to residents' emotions. Reflexive thematic analysis was conducted on a secondary dataset consisting of 123 interviews with influential professionals in urban development decision-making. We developed three themes and one subtheme: '(mis)understanding residents' emotions', 'neglecting the health impact of positive emotions', 'avoidance of emotion in community engagement' and 'sanitized emotions'. We recommend decision-makers engage directly with residents' emotions during urban development processes to ensure healthier place-making.

Qualitative Study of Multilevel Barriers and Facilitators Associated With Physical Activity and Diet Among Long-haul Truck Drivers

Background

Long-haul truck drivers (LHTD) experience disproportionately greater chronic disease risk, which may be influenced by both occupational and lifestyle factors. This study aimed to explore the multilevel factors associated with LHTD's diet and physical activity (PA).

Methods

Thirty in-depth interviews were conducted with LHTD in the Southern California border region. Interview questions captured occupational and lifestyle factors relating to PA and diet at multiple levels and were analyzed using thematic analysis.

Results

Emergent themes relating to both diet and PA included time constraints, attitudes and perceived beliefs, and accessibility of environments to engage in PA and healthy eating. Themes specific to PA were weather conditions and flatbed job duties. Themes specific to diet included access to refrigerators/microwaves and social interactions.

Conclusion

Findings from this study can inform the development of tailored, multi-level interventions to encourage PA and healthy dietary behaviors among LHTD.

Physical Activity and Local Blue/Green Space Access During the COVID-19 Pandemic

PURPOSE

To examine whether local blue and green space access was associated with weekly physical activity frequency during the COVID-19 pandemic.

DESIGN

Cross-sectional.

SETTING

Population-based, nationally representative sample of U.S. adults (May and June 2021).

SAMPLE

Adults, ages 18-94 (N = 1,771).

MEASURES

Self-reported data included the presence of blue spaces (e.g., lakes, outdoor swimming pools, riverside trails) and green spaces (e.g., parks, forests, or natural trails) in their neighborhoods, and days of physical activity per week (e.g., running, swimming, bicycling, lifting weights, playing sports, or doing yoga).

ANALYSIS

Multiple Poisson regression assessed relationships between blue and green spaces and physical activity, with coefficients transformed into incidence risk ratios (IRR).

RESULTS

Among participants, 67.2% reported living near a blue space and 86.1% reported living near a green space. Racial/ethnic and socioeconomic disparities in access to blue and green spaces were observed, with less access among non-Hispanic Black participants and those with lower income and educational attainment. Living near blue (IRR = 1.23, 95% CI = 1.10, 1.39) or green space (IRR = 1.25, 95% CI = 1.02, 1.54) was significantly associated with more frequent weekly physical activity.

CONCLUSION

Proximity to blue or green spaces is associated with more frequent physical activity during the COVID-19 pandemic. Health promotion efforts should include equitable strategies to improve accessibility to blue and green spaces.

Landscape analysis of environmental data sources for linkage with SEER cancer patients database

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research.

Disaggregation of Green Space Access, Walkability, and Behavioral Risk Factor Data for Precise Estimation of Local Population Characteristics

BACKGROUND

Social and Environmental Determinants of Health (SEDH) provide us with a conceptual framework to gain insights into possible associations among different human behaviors and the corresponding health outcomes that take place often in and around complex built environments. Developing better built environments requires an understanding of those aspects of a community that are most likely to have a measurable impact on the target SEDH. Yet data on local characteristics at suitable spatial scales are often unavailable. We aim to address this issue by application of different data disaggregation methods.

METHODS

We applied different approaches to data disaggregation to obtain small area estimates of key behavioral risk factors, as well as geospatial measures of green space access and walkability for each zip code of Allegheny County in southwestern Pennsylvania.

RESULTS

Tables and maps of local characteristics revealed their overall spatial distribution along with disparities therein across the county. While the top ranked zip codes by behavioral estimates generally have higher than the county's median individual income, this does not lead them to have higher than its median green space access or walkability.

CONCLUSION

We demonstrated the utility of data disaggregation for addressing complex questions involving community-specific behavioral attributes and built environments with precision and rigor, which is especially useful for a diverse population. Thus, different types of data, when comparable at a common local scale, can provide key integrative insights for researchers and policymakers.

Neighborhood built environment, obesity, and diabetes: A Utah siblings study

Background

This study utilizes innovative computer vision methods alongside Google Street View images to characterize neighborhood built environments across Utah.

Methods

Convolutional Neural Networks were used to create indicators of street greenness, crosswalks, and building type on 1.4 million Google Street View images. The demographic and medical profiles of Utah residents came from the Utah Population Database (UPDB). We implemented hierarchical linear models with individuals nested within zip codes to estimate associations between neighborhood built environment features and individual-level obesity and diabetes, controlling for individual- and zip code-level characteristics (n = 1,899,175 adults living in Utah in 2015). Sibling random effects models were implemented to account for shared family attributes among siblings (n = 972,150) and twins (n = 14,122).

Results

Consistent with prior neighborhood research, the variance partition coefficients (VPC) of our unadjusted models nesting individuals within zip codes were relatively small (0.5%-5.3%), except for HbA1c (VPC = 23%), suggesting a small percentage of the outcome variance is at the zip code-level. However, proportional change in variance (PCV) attributable to zip codes after the inclusion of neighborhood built environment variables and covariates ranged between 11% and 67%, suggesting that these characteristics account for a substantial portion of the zip code-level effects. Non-single-family homes (indicator of mixed land use), sidewalks (indicator of walkability), and green streets (indicator of neighborhood aesthetics) were associated with reduced diabetes and obesity. Zip codes in the third tertile for non-single-family homes were associated with a 15% reduction (PR: 0.85; 95% CI: 0.79, 0.91) in obesity and a 20% reduction (PR: 0.80; 95% CI: 0.70, 0.91) in diabetes. This tertile was also associated with a BMI reduction of -0.68 kg/m2 (95% CI: -0.95, -0.40).

Conclusion

We observe associations between neighborhood characteristics and chronic diseases, accounting for biological, social, and cultural factors shared among siblings in this large population-based study.

Built environment and loneliness in later life: productive engagement as the pathway

OBJECTIVES

The built environment is increasingly recognized as being associated with late-life loneliness. However, the pathway remains understudied. This study investigated the mediating effects of productive engagement in relationships between the built environment and loneliness.

METHODS

We conducted a cross-sectional analysis of data from 4,409 community-dwelling people aged 65 years and above in China. We employed the Chinese version of the De Jong Gierveld Loneliness Scale to assess loneliness. The built environment comprises residential density, street connectivity, park-based and vegetation-based green space, land use mix, and the number of and distance to the nearest recreational, health, shopping and community services within 300-meter and 500-meter buffer areas. Structural equation modeling was used.

RESULTS

Only green space (parks) had a direct effect on loneliness. Residential density and green space (parks) had an indirect effect on loneliness through volunteering. The number of recreational services had an indirect effect on loneliness through recreational and sporting activities, although distance to the nearest recreational services did not. All the significant results were only found within 300-meter rather than 500-meter buffers.

CONCLUSIONS

Our findings have implications for environmental gerontology theory and practice. Providing more green space and recreational services can significantly improve older adults' helping behavior, social activities and sporting activities, which can further reduce older adults' loneliness.

Who inhabits the built environment? A microbiological point of view on the principal bacteria colonizing our urban areas

Modern lifestyle greatly influences human well-being. Indeed, nowadays people are centered in the cities and this trend is growing with the ever-increasing population. The main habitat for modern humans is defined as the built environment (BE). The modulation of life quality in the BE is primarily mediated by a biodiversity of microbes. They derive from different sources, such as soil, water, air, pets, and humans. Humans are the main source and vector of bacterial diversity in the BE leaving a characteristic microbial fingerprint on the surfaces and spaces. This review, focusing on articles published from the early 2000s, delves into bacterial populations present in indoor and outdoor urban environments, exploring the characteristics of primary bacterial niches in the BE and their native habitats. It elucidates bacterial interconnections within this context and among themselves, shedding light on pathways for adaptation and survival across diverse environmental conditions. Given the limitations of culture-based methods, emphasis is placed on culture-independent approaches, particularly high-throughput techniques to elucidate the genetic and -omic features of BE bacteria. By elucidating these microbiota profiles, the review aims to contribute to understanding the implications for human health and the assessment of urban environmental quality in modern cities.

Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada

BACKGROUND

Psoriasis is a major global health burden affecting ~ 60 million people worldwide. Existing studies on psoriasis focused on individual-level health behaviors (e.g. diet, alcohol consumption, smoking, exercise) and characteristics as drivers of psoriasis risk. However, it is increasingly recognized that health behavior arises in the context of larger social, cultural, economic and environmental determinants of health. We aimed to identify the top risk factors that significantly impact the incidence of psoriasis at the neighborhood level using populational data from the province of Quebec (Canada) and advanced tree-based machine learning (ML) techniques.

METHODS

Adult psoriasis patients were identified using International Classification of Disease (ICD)-9/10 codes from Quebec (Canada) populational databases for years 1997-2015. Data on environmental and socioeconomic factors 1 year prior to psoriasis onset were obtained from the Canadian Urban Environment Health Consortium (CANUE) and Statistics Canada (StatCan) and were input as predictors into the gradient boosting ML. Model performance was evaluated using the area under the curve (AUC). Parsimonious models and partial dependence plots were determined to assess directionality of the relationship.

RESULTS

The incidence of psoriasis varied geographically from 1.6 to 325.6/100,000 person-years in Quebec. The parsimonious model (top 9 predictors) had an AUC of 0.77 to predict high psoriasis incidence. Amongst top predictors, ultraviolet (UV) radiation, maximum daily temperature, proportion of females, soil moisture, urbanization, and distance to expressways had a negative association with psoriasis incidence. Nighttime light brightness had a positive association, whereas social and material deprivation indices suggested a higher psoriasis incidence in the middle socioeconomic class neighborhoods.

CONCLUSION

This is the first study to highlight highly variable psoriasis incidence rates on a jurisdictional level and suggests that living environment, notably climate, vegetation, urbanization and neighborhood socioeconomic characteristics may have an association with psoriasis incidence.

Short-term health effects of an urban regeneration programme in deprived neighbourhoods of Barcelona

Urban regeneration programmes are interventions meant to enhance the wellbeing of residents in deprived areas, although empirical evidence reports mixed results. We evaluated the health impact of a participatory and neighbourhood-wide urban regeneration programme, Pla de Barris 2016-2020, in Barcelona. A pre-post with a comparison group study design. Using data from a cross-sectional survey performed in 2016 and 2021. The health outcomes analysed were mental health, alcohol and psychotropic drug use, perceived health status, physical activity and obesity. Depending on the investment, two intervention groups were defined: moderate- and high-intensity intervention groups. The analysis combined difference-in-difference estimation with an inverse weighting derived from a propensity score to reduce potential biases. The impact of the intervention in percentages and its confidence interval were estimated with a linear probability model with clustered adjusted errors. The intervention had a positive impact on health outcomes in women in the high-intensity intervention group: a reduction of 15.5% in the relative frequency of those experiencing poor mental health, and of 21.7% in the relative frequency of those with poor self-perceived health; and an increase of 13.7% in the relative frequency of those doing physical activity. No positive impact was observed for men, but an increase of 10.3% in the relative frequency of those using psychotropic drugs in the high-intensity intervention group. This study shows positive short-term effects of the urban regeneration programme Pla de Barris 2016-2020 on health outcomes in women in the high-intensity intervention group. These results can guide future interventions in other areas.

A messaging standard for environmental inspections: is it time?

Environmental health (EH) services in the United States lag behind other areas of public health and health care with respect to information system interoperability and data sharing. This is partly due to an absence of well-defined use cases, the lack of direct economic drivers and resources to improve, the multiple jurisdictional elements that govern EH services across the United States, and no central organization to drive modernization of EH data. We summarize the status of EH information systems; argue for greater interoperability, including use cases for a messaging standard for environmental inspections; and present recommendations to better align EH services and data modernization efforts currently underway in other areas of public health.

The association between neighborhood social and built environment on loneliness among young adults with cancer

PURPOSE

Young adults with cancer (YAs, aged 18-39) are at increased risk of experiencing loneliness due to their unique challenges of coping with a cancer diagnosis and treatment during young adulthood. Understanding factors that impact loneliness is critical to improving survivorship outcomes for this vulnerable YA population. Neighborhoods are key determinants of health. However, little is known about how such neighborhood characteristics are associated with loneliness among YA survivors.

METHODS

YA survivors (N = 181) drawn from the National Institutes of Health All of Us Research Program completed measures of neighborhood social environment (e.g., shared values), aspects of their neighborhood built environment (e.g., access to transit, recreational activities), and loneliness. Two total scores were calculated with higher scores reflecting higher neighborhood social cohesion and higher neighborhood walkability/bikeability (i.e., built environment). Hierarchical linear regression examined associations between the social and built environment on loneliness.

RESULTS

Higher levels of neighborhood social cohesion (β =  - 0.28, 95% confidence interval (CI) =  - 0.44, - 0.11) and neighborhood walkability/bikeability (β =  - 0.15, 95% CI =  - 0.31, - 0.006) were significantly associated with lower levels of loneliness.

CONCLUSIONS

Findings suggest that living within a cohesive social environment with neighborhood walkability/bikeability to built environment amenities such as green space, grocery stores, and public transportation is protective against loneliness among YA survivors. More longitudinal research is necessary to understand the dynamic changes in loneliness among YA survivors living in diverse social and built environments.

IMPLICATIONS FOR CANCER SURVIVORS

YA survivors may benefit from cultivating neighbor relationships and living within neighborhoods with walkability/bikeability.

Spatial scale effects on associations between built environment and cognitive function: Multi-Ethnic Study of Atherosclerosis

Built environments have the potential to favorably support cognitive function. Despite growing work on this topic, most of the work has ignored variation in the spatial scale of the effect. The issue with spatial scale effects is that the size and shape of the areal unit within which built environment characteristics are measured naturally influence the built environment exposure metric and thus the estimated associations with health. We used spatial distributed lag modeling (DLM) to estimate how associations between built environment exposures (walkable destinations [WD], social destinations [SD]) and change in cognition varied across distance of these destinations from participants' residences. Cognition was assessed as maintained/improved processing speed (PS) and global cognition (GC). Person-level data from Exam 5 (2010-2012) and Exam 6 (2016-2018) of the Multi-Ethnic Study of Atherosclerosis was used (N = 1380, mean age 67). Built environment data were derived from the National Establishment Time Series. Higher availability of walkable and social destinations at closer distance from participants' residence was associated with maintained/improved PS. The adjusted associations between maintained/improved PS and destinations waned with increasing distance from the residence; associations were evident until approximately 1.9-km for WD and 1.5-km for SD. Associations were most apparent for participants living in areas with high population density. We found little evidence for associations between change in GC and built environment at any distance. These results highlight the importance of identifying appropriate spatial scale to understand the mechanisms for built environment-cognition associations.

Capabilities, opportunities, motivations, and practices of different sector professionals working on community environments to improve health

OBJECTIVE

With rising healthcare costs in Canada from chronic conditions, individual behaviour change interventions in the clinical settings need to be complemented by a determinants of health approach, where multi-sector professionals assist in the creation of healthier community environments. This study sought to gain insights into capabilities, opportunities, motivations, and behaviours (COM-B) of Canadian multi-sector professionals for working together to improve built environments (BE) for health.

METHODS

A cross-sectional study was conducted with 61 multi-sector professionals. A 49-item questionnaire measuring constructs of COM-B for healthy BE practices was administered.

RESULTS

Public health (PH) professionals were more motivated by personal interest/values in healthy BE and the presence of scientific evidence on BE design health impacts as compared with planning and policy/program development (PPD) professionals. Planning professionals were more likely to be motivated by healthy BE legislation/regulations/codes than PPD professionals. The practice of taking responsibility for the inclusion of healthy features into BE designs was reported more often by planning and other professionals compared to PH professionals. Results trended towards significance for opportunities as a predictor of healthy BE practices among all professionals.

CONCLUSION

Though motivators vary among different sector professionals, opportunities may be the most important driver of healthy BE practices and potentially a target to improve multi-sector professional practices in Canada. Future research should confirm findings of this first study of professional practice drivers guided by a theoretical behaviour change framework.

Sponge city construction and population health

Introduction

This paper focuses on the construction of sponge cities and their effects on population health. Sponge cities in China both solve stormwater problems and are a systemic transformation in the urban construction paradigm, addressing related issues arising from high-speed urbanization. Whether sponge city construction in China can promote population health has received scant attention. Most previous studies have focused on urban environments and population health, with few exploring the potential effects on population health caused by urban environment changes due to urban policies. This study hypothesizes that sponge city construction improves the urban environment, and thus, population health.

Methods

Using panel data from 119 prefecture-level cities between 2011 and 2019 and the China Labor-force Dynamics Survey (CLDS), based on China's sponge city pilot policy, a quasi-natural experiment is conducted using Difference-in-Differences (DID) model to identify the health effects of the sponge city policy.

Results

The findings show that sponge city pilot policy not only reduced ecological environment pollution and promoted the quality of built environment, but also significantly improved population health by 10.4%. This mechanism is mainly due to the restorative effects of the built environment.

Discussion

The health effects vary across city administrative levels, and especially among non-older adults and local populations. Compared with the cities at higher administrative level, the health effect in lower administrative level is significantly positive, indicating that there is a diminishing marginal effect of sponge city construction. This study extends the causal identification chain of the impact of urban environment on population health to urban policies and provide insights into policy objectives for sponge city construction.

A systematic review on the relationship between the built environment and children's quality of life

BACKGROUND

Evidence of the effects of the built environment on children has mainly focused on disease outcomes; however, quality of life (QoL) has gained increasing attention as an important health and policy endpoint itself. Research on built environment effects on children's QoL could inform public health programs and urban planning and design.

OBJECTIVE

We aimed to review and synthesize the evidence of the relationship between built environment features and children's QoL.

METHODS

Five research databases were searched for quantitative peer-reviewed studies on children between 2 and 18 years, published in English or German between January 2010 and August 2023. Only primary research was considered. Included studies (n = 17) were coded and methodologically assessed with the Joanna Briggs Critical Appraisal Checklists, and relevant data were extracted, analyzed, and synthesized, using the following built environment framework: (1) neighborhood green and blue space, (2) neighborhood infrastructure, and (3) neighborhood perception.

RESULTS

Green space was positively associated with children's QoL. Infrastructure yielded inconclusive results across all measured aspects. Overall neighborhood satisfaction was positively correlated with higher QoL but results on perceived environmental safety were mixed.

CONCLUSIONS

Most studies are correlational, making it difficult to infer causality. While the positive findings of green space on QoL are consistent, specific features of the built environment show inconsistent results. Overall perception of the built environment, such as neighborhood satisfaction, also shows more robust results compared to perceptions of specific features of the built environment. Due to the heterogeneity of both built environment and QoL measures, consistent measures of both concepts will help advance this area of research.

Social participation in the city: exploring the moderating effect of walkability on the associations between active mobility, neighborhood perceptions, and social activities in urban adults

BACKGROUND

Living in urban environments is associated with several health risks (e.g., noise, and air pollution). However, there are also beneficial aspects such as various opportunities for social activities, which might increase levels of social participation and (physically) active mobility that in turn have positive effects on health and well-being. However, how aspects of the environment, active mobility, and social participation are associated is not well established. This study investigates the moderating effect of low vs. high walkability neighborhoods on the associations between active mobility, and social participation and integrates individuals' subjective perception of the neighborhood environment they are living in.

METHODS

Cross-sectional data from 219 adults (48% female, mean age = 46 ± 3.8 years) from 12 urban neighborhoods (six low, six high walkability) were analyzed: First, social participation, active mobility, and subjective neighborhood perceptions were compared between people living in a low vs. high walkability neighborhood via t-tests. Second, multigroup path analyses were computed to explore potential differences in the associations between these variables in low vs. high walkability neighborhoods.

RESULTS

Social participation, active mobility, and subjective neighborhood perceptions didn't differ in low vs. high walkability neighborhoods (p: 0.37 - 0.71). Active mobility and subjective neighborhood perceptions were significantly stronger related to social participation in low vs. high walkability neighborhoods (active mobility in low: ß = 0.35, p < .01 vs. high: ß = 0.09, p = .36; subjective neighborhood perceptions in low: ß = 0.27, p < .01 vs. high: ß = 0.15, p = .18).

CONCLUSIONS

Despite living in neighborhoods with objectively different walkability, participants rated social participation and active mobility equally and perceived their neighborhoods similarly. However, zooming into the interrelations of these variables reveals that social participation of residents from low walkability neighborhoods depends stronger on active mobility and perceiving the environment positively. Positive perceptions of the environment and active mobility might buffer the objectively worse walkability. Future research should focus on underlying mechanisms and determinants of subjective neighborhood perceptions and active mobility, especially in low walkability neighborhoods.

Upstream Determinants of Overweight and Obesity in Europe

PURPOSE OF REVIEW

To review the upstream determinants of overweight and obesity in Europe, including food and built environments, and political, commercial, and socioeconomic determinants.

RECENT FINDINGS

Overweight and obesity affect 60% of European adults, and one in three children, and are more common in individuals with low compared to high socioeconomic position (SEP). Individuals in low SEP groups are more exposed to unhealthy built and food environments, including higher exposure to unhealthy food marketing. Industries influencing the food system have much economic power, resulting in ignoring or silencing the role of ultra-processed foods and commercial practices in weight gain. Overall, effective policies to address overweight and obesity have been insufficiently implemented by governments. To accelerate implementation, strengthened political commitment is essential. Policies must also focus on the upstream, structural, and systemic drivers of overweight and obesity; be comprehensive; and target socioeconomic inequalities in diets and physical activity.

Environmental resource reductions predict greater severity of negative symptoms in schizophrenia

No pharmacological or psychosocial interventions effectively treat negative symptoms in schizophrenia (SZ), despite the identification of biological and psychological mechanistic targets. Limited treatment progress may result from failure to account for non-person-level environmental factors that present barriers to performing recreational, social, and goal-directed activities. The bioecosystem model of negative symptoms proposes that four interactive ecosystems (i.e. microsystem, mesosystem, exosystem, and macrosystem) influence person-level factors (e.g., dysfunctional beliefs, glutamate, cortico-striatal functioning) to initiate and maintain negative symptoms. The current study tested this hypothesis by examining whether indirect environmental factors (e.g., access to resources for performing activities in the built environment) were associated with dysfunctional beliefs (defeatist performance, asocial, anhedonic) and negative symptoms (anhedonia, avolition, asociality). Self-reports of indirect environmental factors (i.e., the built environment), dysfunctional beliefs, and negative symptoms were collected from 31 individuals with SZ and 29 matched healthy controls. Mediation analyses were conducted with dysfunctional beliefs as the predictor, indirect environmental factors as mediator, and negative symptoms as the outcome. Individuals with SZ reported reduced access to environmental resources for performing recreational, goal-directed, and social activities; these reductions were associated with greater negative symptom severity. Mediation analyses indicated that the effect of dysfunctional beliefs on negative symptoms was mediated by participants' satisfaction with resources for performing activities in their environment. These findings suggest that psychosocial treatments could be augmented to not only target dysfunctional beliefs, but also environmental processes that lead these beliefs to emerge and contribute to negative symptoms.

Creating the ICU of the future: patient-centred design to optimise recovery

BACKGROUND

Intensive Care survival continues to improve, and the number of ICU services is increasing globally. However, there is a growing awareness of the detrimental impact of the ICU environment on patients, families, and staff. Excessive noise and suboptimal lighting especially have been shown to adversely impact physical and mental recovery during and after an ICU admission. Current ICU designs have not kept up with advances in medical technology and models of care, and there is no current 'gold-standard' ICU design. Improvements in ICU designs are needed to optimise care delivery and patient outcomes.

METHODS

This manuscript describes a mixed-methods, multi-staged participatory design project aimed at redesigning and implementing two innovative ICU bedspaces. Guided by the action effect method and the consolidated framework for implementation research, the manuscript describes the processes taken to ensure the patient-centred problems were properly understood, the steps taken to develop and integrate solutions to identified problems, and the process of implementation planning and rebuilding in a live ICU.

RESULTS

Two innovative ICU bedspaces were rebuilt and implemented. They feature solutions to address all identified problems, including noise reduction, optimisation of lighting, access to nature via digital solutions, and patient connectivity and engagement, with solutions developed from various specialty fields, including IT improvements, technological innovations, and design and architectural solutions. Early evaluation demonstrates an improved lighting and acoustic environment.

CONCLUSIONS

Optimising the ICU bedspace environment and improving the lighting and acoustic environment is possible. The impact on patient outcomes needs to be evaluated.

Traveling Together: A Road Map for Researching Neighborhood Effects on Population Health and Health Inequities

As evidence of the relationship between place and health mounts, more epidemiologists and clinical science researchers are becoming interested in incorporating place-based measures and analyses into their examination of population health and health inequities. Given the extensive literature on place and health, it can be challenging for researchers new to this area to develop neighborhood-effects research questions and apply the appropriate measures and methods. This paper provides a road map for guiding health researchers through the conceptual and methodological stages of incorporating various dimensions of place into their quantitative health research. Synthesizing across reviews, commentaries, and empirical investigations, the road map consists of 4 broad stages for considering place and health: 1) why?: articulating the motivation for assessing place and health and grounding the motivation in theory; 2) what?: identifying the relevant place-based characteristics and specifying their link to health to build a conceptual framework; 3) how?: determining how to operationalize the conceptual framework by defining, measuring, and assessing place-based characteristics and quantifying their effect on health; and 4) now what?: discussing the implications of neighborhood research findings for future research, policy, and practice. This road map supports efforts to develop conceptually and analytically rigorous neighborhood research projects.

Rural-Urban Differences in Cognition: Findings From the Advanced Cognitive Training for Independent and Vital Elderly Trial

ObjectivesWe examined associations between three geographic areas (urban, suburban, rural) and cognition (memory, reasoning, processing speed) over a 10-year period. Methods: Data were obtained from 2539 participants in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) trial. Multilevel, mixed-effects linear regression was used to estimate cognitive trajectories by geographical areas over 10 years, after adjusting for social determinants of health. Results: Compared to urban and suburban participants, rural participants fared worse on all cognitive measures-memory (B = -1.17 (0.17)), reasoning (B = -1.55 (0.19)), and processing speed (B = 0.76 (0.19)) across the 10-year trajectory. Across geographic areas, greater economic stability, health care access and quality, and neighborhood resources were associated with better cognition over time. Discussion: Findings highlight the importance of geographical location when examining cognition later in life. More research examining place-based life experiences is needed to make the greatest impact on geographically diverse communities.

Designing for Health in Healthcare Deserts: A Medical City Master Planning Project in Nigeria

BACKGROUND

Many countries and communities in sub-Saharan Africa suffer from inadequate access to healthcare and healthy lifestyles as reflected in their high mortality and morbidity rates. Large-scale interventions like the medical city project presented in this article are necessary to address the significant health burdens faced by populations in this region.

OBJECTIVES

This article shows how evidence-based approaches and multisectoral partnerships guided the development of the 327-acre Medical City master plan in Akwa Ibom, Nigeria. This is envisioned to be the first-of-its-kind medical city in this medically underserved "healthcare desert."

METHODS

The five-phased, seven-year (2013-2020) master planning process was guided by the overarching design framework of "sustainable one health" along with its 11 objectives and 64 performance measures. The data/evidence used to guide the planning decision-making process came from case studies, literature reviews, stakeholder interviews, and on-site investigations.

RESULTS

The outcome of this project is a comprehensive medical city master plan that includes a self-contained, mixed-use community anchored by a hospital and a primary healthcare village. This medical city provides access to the full range of healthcare services (e.g., curative-to-preventive, traditional-to-alternative) and is supported by multimodal transportation systems and extensive green infrastructure.

CONCLUSIONS

This project offers theoretical and practical insights on "designing for health" in a frontier market while responding to the complex local contexts that present many unique challenges and opportunities. Those insights provide useful lessons for researchers and professionals interested in promoting health and healthcare services in healthcare deserts.

Food deserts and dental care utilization in the United States

OBJECTIVES

Although food deserts are known to impact health and healthcare utilization, no research has investigated the relationship between food deserts and dental care utilization. This study aimed to fill this gap by assessing the relationship between living in a food desert and self-reported dental care utilization in the past year.

METHODS

Data are from the National Longitudinal Study of Adolescent to Adult Health (N = 10,495). The association between food deserts and dental care utilization was assessed using covariate-adjusted multiple logistic regression.

RESULTS

Living in a food desert was associated with higher odds of not utilizing dental care in the past year. This association was concentrated among high-poverty areas (≥20% poverty rate).

CONCLUSIONS

The current study is the first to assess the relationship between living in a food desert and dental care utilization. The findings demonstrate that individuals living in low-income urban food deserts may be at increased risk for not utilizing dental care.

Differential effects of lifestyle activities on disability incidence based on neighborhood amenities

BACKGROUND

This study examined the effect of neighborhood amenities on disability risk among community-dwelling older adults in Japan, based on lifestyle activities.

METHOD

This was an observational prospective cohort study. Participants comprised 13,258 older adults from the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. We calculated participants' Walk Score using their home addresses and divided them into three groups: "car-dependent," "somewhat walkable," and "very walkable." We then calculated the average value of lifestyle activities. We divided the neighborhood amenity groups into two groups, "fewer lifestyle activities" and "more lifestyle activities," for a total of six groups. After identifying interactions between neighborhood amenities and lifestyle activities, Cox proportional hazard models to calculate hazard ratios for incident disability risk, based on neighborhood amenities and lifestyle activities.

RESULTS

An interaction occurred between neighborhood amenities and lifestyle activities (p < 0.05). Survival probabilities for incident disability based on lifestyle activities were estimated for each neighborhood amenity group: car-dependent, 1.62 (95% CI 1.07 to 2.46); somewhat walkable, 1.08 (95% CI 0.84 to 1.40); and very walkable, 1.05 (95% CI 0.87 to 1.27). Those with fewer lifestyle activities in the car-dependent group exhibited the highest risk of incident disability in the unadjusted and adjusted models.

CONCLUSION

Given that the aging population is increasing steadily, considering older adults' neighborhood amenities and lifestyle activities in their day-to-day lives can help clinicians to deliver more older adult-centered care. Incorporating the lifestyle activities and neighborhood amenities of older adults into care planning will lead to the design and development of integrated clinical and community screening programs.

Social participation of older people in urban and rural areas: Canadian Longitudinal Study on Aging

BACKGROUND AND OBJECTIVES

Although the positive influence of social activity on health is now well-established, a complex relationship exists among social participation, personal, social and the environment. Social participation of older adults was examined in rural and urban settings to identify features of the built-environment and perception of neighborhood specific to the locale.

RESEARCH DESIGN AND METHODS

Using cross-sectional data from the Canadian Longitudinal Study on Aging (CLSA), we examined social participation and health of older people (65 + yrs) in relation to the built environment and sociocultural contexts for urban and rural areas. A social participation index was derived from responses on the frequency of participating in 8 social activities over the past 12 months. Personal, household and neighborhood indicators were examined to develop multivariable regression models for social participation in urban and rural cohorts.

RESULTS

No meaningful differences were seen with the frequency of social participation between rural and urban settings; however, the type of community-related activities differed in that a greater proportion of urban participants reported sports and educational/cultural events than rural participants. Service club activities were greater for rural than urban participants. Different neighborhood features were statistically significant factors in explaining social participation in rural than in urban locales, although transportation was a significant factor regardless of locale. Trustworthiness, belonging and safety were perceived factors of the neighborhood associated with higher social participation for rural participants.

DISCUSSION AND IMPLICATIONS

The relationship between home and health becomes stronger as one ages. Social and physical features of built environment specific to urban and rural settings need to be considered when implementing appropriate social activities for older people.

Association of service facilities and amenities with adolescent birth rates in Mexican cities

BACKGROUND

The association of the built environment and the structural availability of services/amenities with adolescent birth rates (ABR) has been overlooked in Latin America. We investigated the association of the availability, and changes in the availability, of services/amenities with ABR in 92 Mexican cities.

METHODS

We estimated ABR using data on live birth registration linked to municipality of residence at the time of birth from 2008-2017. The number of services/amenities were obtained from the National Statistical Directory of Economic Units in 2010, 2015, and 2020 and grouped as follows: education, health care, pharmacies, recreation, and on- and off-premises alcohol outlets. Data were linearly interpolated to obtain yearly estimates. We estimated densities per square km by municipality. We fitted negative binomial hybrid models, including a random intercept for municipality and city, and adjusted for other social environment variables.

RESULTS

After adjustment a 1-unit increase in the density of recreation facilities, pharmacies, and off-premises alcohol outlets within municipalities was associated with a 5%, 4% and 12% decrease in ABR, respectively. Municipalities with higher density of education, recreational and health care facilities had a lower ABR; in contrast, municipalities with a higher density of on-premises alcohol experienced a higher ABR.

CONCLUSION

Our findings highlight the importance of economic drivers and the need to invest in infrastructure, such as pharmacies, medical facilities, schools, and recreation areas and limit the availability of alcohol outlets to increase the impact of current adolescent pregnancy prevention programs.

Impacts of Urban Green on Cardiovascular and Cerebrovascular Diseases-A Systematic Review and Meta-Analysis

Cardiovascular diseases (CVDs) are a leading cause of mortality globally. In particular, ischemic heart diseases (IHDs) and cerebrovascular diseases (CBVDs) represent the main drivers of CVD-related deaths. Many literature examples have assessed the association between CVD risk factors and urban greenness. Urban green (UG) may positively affect physical activity, reduce air and noise pollution, and mitigate the heat island effect, which are known risk factors for CVD morbidity. This systematic review aims to assess the effects of urban green spaces on CVD morbidity and mortality. Peer-reviewed research articles with a quantitative association between urban green exposure variables and cardiovascular and cerebrovascular outcomes were included. Meta-analyses were conducted for each outcome evaluated in at least three comparable studies. Most of the included studies' results highlighted an inverse correlation between exposure to UG and CVD outcomes. Gender differences were found in four studies, with a protective effect of UG only statistically significant in men. Three meta-analyses were performed, showing an overall protective effect of UG on CVD mortality (HR (95% CI) = 0.94 (0.91, 0.97)), IHD mortality (HR (95% CI) = 0.96 (0.93, 0.99)), and CBVD mortality (HR (95% CI) = 0.96 (0.94, 0.97)). The results of this systematic review suggest that exposure to UG may represent a protective factor for CVDs.

A systematic review on the relationship between the built environment and children's quality of life

Background

Evidence of the effects of the built environment on children has mainly focused on disease outcomes; however, quality of life (QoL) has gained increasing attention as an important health and policy endpoint itself. Research on built environment effects on children's QoL could inform public health programs and urban planning and design.

Objective

We aimed to review and synthesize the evidence of the relationship between built environment features and children's QoL.

Methods

Five research databases were searched for quantitative peer-reviewed studies on children between 2-18 years, published in English or German between 2010-2021. Only primary research was considered. Included studies (n=17) were coded and methodologically assessed with the Joanna Briggs Critical Appraisal Checklists, and relevant data were extracted, analyzed, and synthesized, using the following built environment thematic framework: 1) neighborhood natural environment, 2) neighborhood infrastructure, and 3) neighborhood perception.

Results

Green space was positively associated with children's QoL. Infrastructure yielded inconclusive results across all measured aspects. Overall neighborhood satisfaction was positively correlated with higher QoL but results on perceived environmental safety were mixed.

Conclusions

Most studies are correlational, making it difficult to infer causality. While the positive findings of green space on QoL are consistent, specific features of the built environment show inconsistent results. Overall perception of the built environment, such as neighborhood satisfaction, also shows more robust results compared to perceptions of specific features of the built environment. Due to the heterogeneity of both built environment and QoL measures, consistent definitions of both concepts will help advance this area of research.

The Proactive Effects of Built Environment on Rural Community Resilience: Evidence from China Family Panel Studies

Rural community resilience (RCR) is crucial to rural sustainable development in the context of rural decline globally. Previous studies seem to underestimate the role of the built environment (BE) in the proactive aspect of RCR (P-RCR), that is, a rural community's ability to cope with change proactively. This study explores BE's effects on P-RCR with a holistic framework involving objective BE (OBE), perceived BE (PBE), place attachment (PA) and P-RCR, using structural equation modeling (SEM) based on a sample of 7528 rural respondents from eastern, central and western China. The results are as follows: (1) Both OBE (population density and accessibility) and PBE (perceptions of facilities, surrounding environment and safety) can significantly affect P-RCR in terms of social, economic and environmental dimensions. (2) In all regions, PBE's impacts were consistent and positive on social and economic dimensions at both the individual and community levels (except the community-level economic dimension in western regions), but negative on the individual-level environmental dimension; OBE's impacts were varied among regions. (3) In certain regions, PA and PBE were mediators in the BE-P-RCR relationship. This study can help researchers to construct a more detailed picture of the BE-P-RCR relationship and identify BE-related factors that contribute to P-RCR enhancement.

Place, health and dis/advantage: A sociomaterial analysis

The substantial literature on interactions between places/spaces and well-being/health often differentiate between physical and social aspects of geographical location. This paper sidesteps this dualism, instead considering places as sociomaterial assemblages of human and non-human materialities. It uses this posthuman and 'new materialist' perspective to explore how place-assemblages affect human capacities, in terms of both health and social dis/advantage. Based on secondary analysis of interview data on human/place interactions, it analyses the physical, sociocultural, psychological and emotional effects of place-assemblages, assessing how these produce opportunities for, and constraints upon human bodies. It than assesses how these emergent capacities affect both social dis/advantage and well-being. This analysis of how place-assemblages contribute positively or negatively to health and dis/advantage offers possibilities for further research and for social and public health policy.

Social determinants and distance from certified treatment centers are associated with initiation of esketamine nasal spray among patients with challenging-to-treat major depressive disorder

Indicated for treatment-resistant depression or major depression with suicidal ideation, esketamine (ESK) is self-administered under supervision at certified treatment centers. Our study was to determine if social determinants of health and distance were associated with ESK utilization. We conducted a retrospective cohort study among 308 US adults initiating ESK between October 11, 2019 and December 31, 2020 and 1540 propensity-score matched controls with treatment-resistant depression or major depression with suicidal ideation. Adjusting for demographics, prior health care utilization and comorbidities, social determinant variables and distance were regressed separately on each outcome: ESK initiation, failure to complete induction (8 treatments in 45 days), and discontinuation within 6 months. ESK initiation was associated with higher population density (odds ratio [OR]: 2.12), American Indian, Alaska Native, Native Hawaiian, Other Pacific Islander (OR: 3.19), and mental health (OR: 1.55) and primary care providers (OR: 1.55) per capita. Lower likelihood of ESK initiation was associated with living > 7.2 miles from a treatment center (OR: 0.75), living in rural areas (OR: 0.64), and percent non-Hispanic African American (OR: 0.58) and Hispanic (OR: 0.40). Health care providers should tailor patient engagement strategies to mitigate potential barriers to initiating and continuing appropriate treatment. Failing to complete induction was associated with substance use disorder and longer distance to treatment center was associated with discontinuation (hazard ratio: 1.48), as was percent Asian population (hazard ratio: 1.37). Prior psychiatric care and residence in counties with high rates of primary care providers per capita, unemployment, and high school graduation were associated with both higher likelihood of completing induction and lower likelihood of discontinuation.

Childhood obesity inequality in northeast China: joint effect of social economic status and school neighborhood environment

BACKGROUND

Obesogenic environment is important in driving obesity epidemic. Children spend large amount of their time in schools. School neighborhood environment, as well as its interaction with socioeconomic status (SES) needs to be explored to provide evidence for children obesity prevention policies.

METHODS

Objective anthropometric measurement, a household structured questionnaire, and school geospatial analyses were carried out on 3670 children (aged 9-12 years) of 26 schools in northeast China. Interaction between SES inter-categorical intersectionality group and school neighborhood environment was tested for the effect on children's body mass index z scores (z-BMI) and waist-hip ratio z scores (z-WHR), following formulation of SES inter-categorical intersectionality group based on household wealth, parental education, and parental occupation.

RESULTS

SES groups formed by household wealth, parental education and parental occupation was associated with z-BMI and z-WHR for girls. Those from moderate wealth & self-employed (M&S) families had the highest adjusted z-BMI and z-WHR among all SES groups. School neighborhood environment factors interacted with SES groups in association with WHR for girls. Number of school neighborhood supermarkets and residential sites were negatively associated with z-WHR for girls from M&S families (β= -0.45 (95%CI: -0.76, -0.15) for supermarkets; β= -0.01 (95%CI: -0.03, 0.00) for residential sites). Number of school neighborhood convenience stores and public transport stops were positively associated with z-WHR for girls from M&S families (β = 0.02 (95%CI: 0.00, 0.03) for convenience stores; β = 0.23 (95%CI: 0.15, 0.31) for public transport stops). While non-significant association was found for number of vegetable stores.

CONCLUSION

Girls from moderate wealth & self-employed families may be the group susceptible to school neighborhood environment. Local policies targeted at improving the school neighborhood environment may be one avenue for reducing socioeconomic disparities in obesity especially for girls.

Facility management perspective in urban transformation projects: the opportunities and challenges in Turkey

Purpose

This study aims to gain a qualitative understanding of the residents’ perspective on the complexities of built environment management in Turkey. In addition, facility management (FM) is a newly emerging field in Turkey and therefore the paper contributes to the existing knowledge base on the global status of the field.

Design/methodology/approach

In-person surveys with the residents in the North Ankara and Dikmen Valley urban transformation projects were evaluated. The data have been collected from 660 residents through surveys using the random sampling method. Chi-square tests were used to examine the frequency and percentage distributions of the data, as well as the relationship between categorical variables. If the expected values in the chi-square analysis were low/insufficient, the Monte Carlo simulation method was used. A value of 0.05 was used as the level of significance, and it was stated that there was a significant relationship/dependency in the case of p < 0.05, and that there was no significant relationship/dependency in the case of p > 0.05.

Findings

The research identified that there was a prevailing opinion that professional FM services would likely increase the overall cost of maintenance, but satisfaction was lower in areas where management was carried out by a resident management group. It has been observed that there is a significant dependency between the regions with the answers given to the statements “Management by professional management companies causes an increase in costs” and “Management by the homeowners is more advantageous than working with professional management companies.”

Originality/value

The concept of “gecekondu” is unique to Turkey and the operation, maintenance and quality expectations of gecekondu owners and those of the more affluent residents can be significantly different. This fascinating process of illegal housing-to-urban transformation and the current need for many more urban transformation projects in the country distinguished the Turkish urban transformation approach from other countries. In addition, to the best of the authors’ knowledge, there is no other study in Turkey regarding the FM of urban transformation areas with data of this size.

Associations Between Built Environment Factors and SARS-CoV-2 Infections at the Neighbourhood Level in a Metropolitan Area in Germany

COVID-19-related health outcomes displayed distinct geographical patterns within countries. The transmission of SARS-CoV-2 requires close spatial proximity of people, which can be influenced by the built environment. Only few studies have analysed SARS-CoV-2 infections related to the built environment within urban areas at a high spatial resolution. This study examined the association between built environment factors and SARS-CoV-2 infections in a metropolitan area in Germany. Polymerase chain reaction (PCR)-confirmed SARS-CoV-2 infections of 7866 citizens of Essen between March 2020 and May 2021 were analysed, aggregated at the neighbourhood level. We performed spatial regression analyses to investigate associations between the cumulative number of SARS-CoV-2 infections per 1000 inhabitants (cum. SARS-CoV-2 infections) up to 31.05.2021 and built environment factors. The cum. SARS-CoV-2 infections in neighbourhoods (median: 11.5, IQR: 8.1-16.9) followed a marked socially determined north-south gradient. The effect estimates of the adjusted spatial regression models showed negative associations with urban greenness, i.e. normalized difference vegetation index (NDVI) (adjusted β =  - 35.36, 95% CI: - 57.68; - 13.04), rooms per person (- 10.40, - 13.79; - 7.01), living space per person (- 0.51, - 0.66; - 0.36), and residential (- 0.07, 0.16; 0.01) and commercial areas (- 0.15, - 0.25; - 0.05). Residential areas with multi-storey buildings (- 0.03, - 0.12; 0.06) and green space (0.03, - 0.05; 0.11) did not show a substantial association. Our results suggest that the built environment matters for the spread of SARS-CoV-2 infections, such as more spacious apartments or higher levels of urban greenness are associated with lower infection rates at the neighbourhood level. The unequal intra-urban distribution of these factors emphasizes prevailing environmental health inequalities regarding the COVID-19 pandemic.

Linking the Urban Environment and Health: An Innovative Methodology for Measuring Individual-Level Environmental Exposures

Environmental exposures (EE) are increasingly recognised as important determinants of health and well-being. Understanding the influences of EE on health is critical for effective policymaking, but better-quality spatial data is needed. This article outlines the theoretical and technical foundations used for the construction of individual-level environmental exposure measurements for the population of a northern English city, Bradford. The work supports 'Connected Bradford', an entire population database linking health, education, social care, environmental and other local government data over a period of forty years. We argue that our current understanding of environmental effects on health outcomes is limited both by methodological shortcomings in the quantification of the environment and by a lack of consistency in the measurement of built environment features. To address these shortcomings, we measure the environmental exposure for a series of different domains including air quality, greenspace and greenness, public transport, walkability, traffic, buildings and the built form, street centrality, land-use intensity, and food environments as well as indoor dwelling qualities. We utilise general practitioners' historical patient information to identify the precise geolocation and duration of a person's residence. We model a person's local neighbourhood, and the probable routes to key urban functions aggregated across the city. We outline the specific geospatial procedure used to quantify the environmental exposure for each domain and use the example of exposure to fast-food outlets to illustrate the methodological challenges in the creation of city and nationwide environmental exposure databases. The proposed EE measures will enable critical research into the relationship and causal links between the built environment and health, informing planning and policy-making.

Association of Neighborhood Racial and Ethnic Composition and Historical Redlining With Built Environment Indicators Derived From Street View Images in the US

Importance

Racist policies (such as redlining) create inequities in the built environment, producing racially and ethnically segregated communities, poor housing conditions, unwalkable neighborhoods, and general disadvantage. Studies on built environment disparities are usually limited to measures and data that are available from existing sources or can be manually collected.

Objective

To use built environment indicators generated from online street-level images to investigate the association among neighborhood racial and ethnic composition, the built environment, and health outcomes across urban areas in the US.

Design, Setting, and Participants

This cross-sectional study was conducted using built environment indicators derived from 164 million Google Street View images collected from November 1 to 30, 2019. Race, ethnicity, and socioeconomic data were obtained from the 2019 American Community Survey (ACS) 5-year estimates; health outcomes were obtained from the Centers for Disease Control and Prevention 2020 Population Level Analysis and Community Estimates (PLACES) data set. Multilevel modeling and mediation analysis were applied. A total of 59 231 urban census tracts in the US were included. The online images and the ACS data included all census tracts. The PLACES data comprised survey respondents 18 years or older. Data were analyzed from May 23 to November 16, 2022.

Main Outcomes and Measures

Model-estimated association between image-derived built environment indicators and census tract (neighborhood) racial and ethnic composition, and the association of the built environment with neighborhood racial composition and health.

Results

The racial and ethnic composition in the 59 231 urban census tracts was 1 160 595 (0.4%) American Indian and Alaska Native, 53 321 345 (19.5%) Hispanic, 462 259 (0.2%) Native Hawaiian and other Pacific Islander, 17 166 370 (6.3%) non-Hispanic Asian, 35 985 480 (13.2%) non-Hispanic Black, and 158 043 260 (57.7%) non-Hispanic White residents. Compared with other neighborhoods, predominantly White neighborhoods had fewer dilapidated buildings and more green space indicators, usually associated with good health, and fewer crosswalks (eg, neighborhoods with predominantly minoritized racial or ethnic groups other than Black residents had 6% more dilapidated buildings than neighborhoods with predominantly White residents). Moreover, the built environment indicators partially mediated the association between neighborhood racial and ethnic composition and health outcomes, including diabetes, asthma, and sleeping problems. The most significant mediator was non-single family homes (a measure associated with homeownership), which mediated the association between neighborhoods with predominantly minority racial or ethnic groups other than Black residents and sleeping problems by 12.8% and the association between unclassified neighborhoods and asthma by 24.2%.

Conclusions and Relevance

The findings in this cross-sectional study suggest that large geographically representative data sets, if used appropriately, may provide novel insights on racial and ethnic health inequities. Quantifying the impact of structural racism on social determinants of health is one step toward developing policies and interventions to create equitable built environment resources.

Historical Neighborhood Redlining and Contemporary Environmental Racism

To stabilize the housing market during the great depression, the government-sanctioned Home Owners' Loan Corporation (HOLC) created color coded maps of nearly 200 United States cities according to lending risk. These maps were largely driven by racial segregation, with the worst graded neighborhoods colored in red, later termed redlined neighborhoods. We sought to investigate the association between historical redlining, and trends in environmental disparities across the US over the past few decades. We characterized environmental exposures including air pollutants (e.g., NO2 and fine particulate matter), vegetation, noise, and light at night, proximity hazardous emission sources (e.g., hazardous water facilities, wastewater discharge indicator) and other environmental and social indicators harnessed from various sources across HOLC graded neighborhoods and extrapolated census tracts (A [lowest risk neighborhoods] to D [highest risk neighborhoods]). Lower graded areas (C and D) had consistently higher exposures to worse environmental factors. Additionally, there were consistent relative disparities in the exposures to PM2.5 (1981-2018) and NO2 (2005-2019), without significant improvement in the gap compared with HOLC grade A neighborhoods. Our findings illustrate that historical redlining, a form of residential segregation largely based on racial discrimination is associated with environmental injustice over the past 2-4 decades.

How Do Different Urban Footpath Environments Affect the Jogging Preferences of Residents of Different Genders? Empirical Research Based on Trajectory Data

In recent years, the impact of the urban environment on residents' physical activity (PA) has received extensive attention, but whether this impact has differences in the jogging preferences of residents in different footpath environments and different genders requires further research. Therefore, based on jogging trajectory data, this paper uses the grouping multiple linear regression model to study the different influencing factors of different footpath environments on the jogging of residents of different genders. The results show that (1) jogging activities (JA) were mainly concentrated in the community footpath environment, and its peak was reached at night; (2) the rise and fall of elements in built environments, social environments, and natural environments significantly affected the relative jogging distance of residents; (3) Residential land density (RLD) has a positive impact on the JA of community and green land footpaths and has a negative impact on the JA of urban footpaths. However, arterial road density (ARD) and bus distance density (BDD) have opposite significant effects on the JA of communities and green land footpaths; (4) ARD has the significant opposite effect on the JA for residents of different genders on urban footpaths and community footpaths. Facilities diversity (FD), population density (PD), and bus stop density (BSD) also had significant opposite effects on the JA of residents of different genders on green land footpaths. In general, we put forward a method theory to identify the footpath environment and provide references for improving the layout and construction of different gender residents for different footpath environment elements.