Land use, transport, and population health: estimating the health benefits of compact cities

How does urban morphology impact cities air quality? A modelling study

With the rise of population living in cities an increase in urbanization is expected, with consequent changes to the morphology of urban areas, and thus, impacts in the urban environment. Air pollution is one of these impacts, affecting ecosystem and human health. The objective of this study is to assess the ability of urban morphologies to minimize air quality problems for future multi-core regions. Three urban morphology scenarios were designed, focused on Aveiro, Portugal: two scenarios representing urban compaction (Focused City and Independent City Scenario); and one representing an extreme version of the current urban dispersion (Dispersed City). The impact of urban scenarios on air quality was compared against the current urban morphology (baseline). The modelling system composed by the Weather Research and Forecast meteorological model, coupled with the chemistry model CAMx, adapted to consider a differentiation of urban land use classes (high- and low-density urban areas, and industrial areas), was applied. Annual results show that the compact urban morphology scenarios led to a decrease of air pollutant concentrations (NO2 = -20 %, PM10 = -3 %, PM2.5 = -2 % for IC; and NO2 = -17 %, PM10 = -2 %, PM2.5 = -1 %, for FC), with increases in industrial hotspots, that affect population exposure. The Disperse City scenario showed an increase in NO2 concentrations (+98 %), due to the influence of road transport and lack of active mobility policies, with little change to PM concentrations. Despite population dispersion, the increase in NO2 concentrations increased exposure. This study provides novel insights by applying a comprehensive methodology to assess the urban morphology's impact on air quality, highlighting the importance of the location and distribution of industrial areas, and the role of road transport emissions, and has the potential to provide urban planners and policy makers with the tools to prepare for more sustainable and healthier future urban areas. The applied methodology and modelling tools can be replicated worldwide.

Assessing the impact of traffic restriction interventions on school air quality: a citizen science-based modelling study

Air pollution poses a significant threat to human health, especially for the vulnerable groups such as children. Given that schools are central to their daily lives, ensuring good air quality in these environments is crucial. This study evaluates the impact of traffic restriction interventions around schools by integrating citizen science monitoring data with advanced modeling techniques. From February 4 to March 4, 2023, within the framework of a citizen science project called "NO2, No Grazie!", NO2 concentrations were measured in Milan and Rome (Italy), Italy's two most populated cities, both affected by high traffic-related pollution, using passive samplers. The spatial distribution of NO2 across entire city territories was estimated using Land Use Random Forest (LURF) models. Four traffic restriction scenarios were developed alongside a business-as-usual one; furthermore, each school was characterized by the social vulnerability of its area. In total, 486 samplers were analyzed in Milan and 407 in Rome, with NO2 levels averaging 47.1 μg/m3 and 42.6 μg/m3, respectively. LURF models explained 64 % and 53 % of the measured variability, with traffic proximity as a major predictor. Among 659 schools in Milan and 1595 in Rome, all traffic restriction scenarios led to significant NO2 reductions. The most effective scenario reduced NO2 by 2.7 μg/m3 in Milan and 1.9 μg/m3 in Rome on average, with maximum observed decreases of 11.1 μg/m3 and 16.1 μg/m3, respectively. Schools in socioeconomically deprived areas had lower NO2 levels and were less impacted by the restrictions. The study underscores the value of traffic policies in improving air quality around schools.

Environmental Hypertensionology and the Mosaic Theory of Hypertension

Hypertension is a multifactorial condition influenced by the intricate interplay of biological and genetic determinants. The growing field of Environmental Hypertensionology endorses the outsized role of environmental factors in the pathogenesis and exacerbation of hypertension. It provides a clinical approach to address these factors at the individual and societal levels. Environmental stressors contributing to blood pressure levels can be viewed within the mosaic model of hypertension, which offers a comprehensive framework for understanding blood pressure regulation through its connection with multiple other nodes causally related to the pathogenesis of hypertension. This review synthesizes growing evidence supporting the impact of several factors in the physical environment and adverse stressors embedded in key provisioning systems, including air, noise, and chemical pollution, along with aspects of the built environment, green spaces, food systems, on the global burden of hypertension. Although many factors may not be directly in the causal cascade of hypertension, the web of connections between many behooves an understanding of the important nodes for intervention. Public health strategies emphasizing the redesign of environments present an unprecedented opportunity to enhance global hypertension control rates. Future research should thus focus on integrating environmental risk assessment and interventions into clinical practice, optimizing urban planning, and public policy to achieve meaningful reductions in the global burden of hypertension. By understanding hypertension as a mosaic of interconnected causes, healthcare professionals are better equipped to individualize treatment, combining lifestyle interventions and multiple drug classes to target environmental and genetic factors driving high blood pressure.

Perceived neighborhood built environment and physical activity in urban population in Chile

BACKGROUND

Various indicators of neighborhood environmental perceptions are differently associated with physical activity (PA) domains, with notable variations by sex. However, few studies in Latin America have examined these associations across distinct PA domains. In this study, we analyzed the relationship between neighborhood environmental perceptions and PA in the domains of transportation and leisure among Chilean adults.

METHODS

This cross-sectional analytical study included 770 participants from the 2014-2016 Latin American Nutrition and Health Survey (ELANS). Perceptions of land use diversity, access to land use, street connectivity, walking and cycling infrastructure, aesthetics, safety from crime, and neighborhood traffic were assessed using the Neighborhood Environment Walkability Scale-Abbreviated (NEWS-A) questionnaire. PA was measured with the International Physical Activity Questionnaire-Long Form (IPAQ-LF), focusing on the transportation and leisure-time domains. Logistic regression and multiple linear regression models were used for the analysis.

RESULTS

Logistic regression analysis in men showed no association between neighborhood characteristics and PA in the transportation or leisure-time domains. However, for women, greater perception of facilities for walking or cycling was inversely associated with transportation PA (OR: 0.62; 95%CI: 0.42;0.92). In the multiple linear regression analysis, higher perceived traffic safety was associated with greater PA (min/week) for both transportation (β: 0.098; 95%CI: 0.005;0.192) and leisure time (β: 0.160, 95%CI: 0.012;0.309). For men, higher scores for perceived access to land use were inversely associated with leisure-time PA (β: -0.150, 95%CI: -0.266;-0.034).

CONCLUSIONS

Different perceived neighborhood characteristics are associated with PA across various domains, with notable gender differences. A better perceived condition of traffic safety would promote urban population to engage in more transportation and leisure-time PA.

CLINICAL TRIAL NUMBER

ClinicalTrials.Gov NCT02226627. Retrospectively registered on August 27, 2014.

TRIAL REGISTRATION

ClinicalTrials.Gov NCT02226627. Retrospectively registered on August 27, 2014.

Higher population density is associated with worse air quality and related health outcomes in Tāmaki Makaurau

OBJECTIVES

To explore associations between population density, air pollution concentrations, and related health outcomes in Tāmaki Makaurau Auckland, Aotearoa New Zealand.

METHODS

Concentrations of nitrogen dioxide (NO2) and fine particulate matter (PM2.5) and associated health outcomes (premature mortality, cardiovascular and respiratory hospitalisations, and childhood asthma) were obtained from the Health and Air Pollution in New Zealand 2016 study. The possible mediating factors assessed were motor vehicle traffic, domestic fires, local industry, and green space.

RESULTS

Higher population density was associated with higher concentrations of NO2 (β: 0.18, p < 0.01) and PM2.5 (β: 0.04, p < 0.01). Adverse health outcomes related to NO2 and respiratory hospitalisations attributed to PM2.5 exposure increased incrementally with the density of urban areas. The mediating factor with the strongest effect was motor vehicle traffic.

CONCLUSIONS

Higher population density in Auckland is associated with worse air quality and related health outcomes. Motor vehicle traffic is the most important source of pollution and is highest in the most densely populated parts of the city.

IMPLICATIONS FOR PUBLIC HEALTH

Housing intensification in Auckland will likely increase ill health from air pollution unless steps are taken to reduce exposure to emissions from motor vehicles.

Nurses' practical contributions to improving healthy and sustainable public spaces: an integrative review

OBJECTIVE

to identify knowledge production about nurses' contributions to improving healthy and sustainable public spaces.

METHODS

an integrative review carried out in February 2023 in electronic databases. Studies that answered the research question and that were available in full, in Portuguese, English and Spanish, were included.

RESULTS

a total of five articles were selected. The findings highlighted the importance of educational projects in the training of local managers and community autonomy; citizen participation and health promotion as ways to implement Sustainable Development Goal 11; nurses as facilitators of collective care; new health practices and modes of producing subjectivity; and use of public transportation, bicycles and/or walking in these spaces.

FINAL CONSIDERATIONS

there is a clear need for greater incentives from local governments to develop effective sustainability strategies that are led by nurses and the community.

Applying a systems thinking lens to anti-doping: A systematic review identifying the contributory factors to doping in sport

The use of performance enhancing substances and methods (known as "doping") in sport is an intractable issue, with current anti-doping strategies predominantly focused on the personal responsibility and strict liability of individual athletes. This is despite an emerging understanding that athletes exist as part of a broader complex sports system that includes governance, policymakers, media, sponsors, clubs, team members, and athlete support staff, to name a few. As such, there is a need to examine the broader systemic factors that influence doping in sport. The aim of this systematic review was to identify and synthesise the factors contributing to doping and doping behaviours, attitudes, and beliefs and the extent to which this knowledge extends beyond the athlete to consider broader sports systems. The review followed PRISMA guidelines with risk of bias and study quality assessed by the Mixed Methods Appraisal Tool, and identified contributory factors synthesised and mapped onto a systems thinking-based framework. Overall, the included studies were determined to be of high quality. Support personnel, the coach, and the coach-athlete relationship represent key influences on the athletes' decisions to dope. From the evidence presented, doping is an emergent property of sport systems and represents a complex systemic problem that will require whole-of-system interventions. The implications for this and the focus of future research are discussed.

‎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.

Lifestyle interventions for cardiometabolic health

Unhealthy lifestyle behaviors such as poor diets and physical inactivity account for most of the cardiometabolic disease (CMD) burden, including type 2 diabetes and cardiovascular diseases. Much of this burden is mediated by the effects of unhealthy lifestyle behaviors on overweight and obesity, and disproportionally impacts certain population groups-including those from disadvantaged socioeconomic backgrounds. Combined lifestyle interventions (CLIs), which target multiple behaviors, have the potential to prevent CMD, but their implementation, reach and effectiveness in routine practice are often limited. Considering the increasing availability of effective but expensive pharmaceutical options for weight loss, we review the short-term and long-term benefits and cost-effectiveness of CLIs on overweight, obesity and associated CMDs, in controlled studies and in routine care. Against the backdrop of changing living environments, we discuss the effective components of CLIs and the many challenges associated with implementing them. Finally, we outline future directions for research and implications for policy and practice to improve lifestyle behaviors and cardiometabolic health at the population level.

Gender differences in the effects of urban environment on nighttime exercise behaviours: a qualitative study

Objective

With the acceleration of urbanization, nighttime exercise behaviours have rapidly emerged. Existing research indicates a correlation between urban environments and physical activity; however, studies focusing specifically on nighttime are still insufficient, particularly regarding gender differences. This study aims to identify the key factors in urban environments that influence residents' nighttime exercise behaviours and to explore the gender differences within these influences.

Methods

Purposeful sampling was employed to conduct semi-structured interviews with 30 residents who regularly engage in nighttime exercise. All transcribed interviews were analyzed using Colaizzi's phenomenological data analysis method.

Results

The findings revealed that physical environment and environmental perception are the two primary factors influencing nighttime exercise behaviour. These factors are further divided into 10 specific sub-themes: lighting, green spaces, site facilities and layout, traffic coherence, entertainment facilities, smart sports equipment, sense of safety, convenience, pleasure, and sense of belonging.

Conclusion

Females demonstrate a heightened sensitivity to the perception of the physical environment, placing greater emphasis on the feelings and experiences it provides. Males, on the other hand, focus more on the direct impact of the physical environment, such as its specific effects on exercise performance. Future urban planning and public policy should give greater consideration to gender differences in the use of urban exercise facilities, ensuring that nighttime exercise environments meet the needs of residents of different genders. This approach will contribute to enhancing overall community vitality and improving residents' health.

Estimating the Reduction of Socioeconomic Inequalities for a More Physically Active Society: A Cross-Sectional Study of the European Union Country Members

BACKGROUND

Socioeconomic inequalities significantly impact the accessibility of resources necessary for physical activity, thereby influencing overall physical activity levels and contributing to broader health disparities. Nevertheless, evidence is lacking on quantifying the increase of people who would be physically active through reducing inequalities by a higher socioeconomic position.

METHODS

We conducted secondary data analysis on the 2017 cross-sectional survey of the European Union's population aged ≥18 years (n = 27,538). By estimating socioeconomic status percentages and odds ratios between socioeconomic status (education, occupational social class, and economic issues) and physical activity, we calculated age-standardized Prevented Fraction for Population and the total number of individuals that would meet physical activity guidelines by a higher socioeconomic status (eg, from low to middle or high socioeconomic status), along with scenarios of reduced socioeconomic disparities, controlling for age, gender, place of residence, and marital status.

RESULTS

A higher socioeconomic status could promote physical activity for a total of 93.0 (84.5-101.8) million people through university education, 28.5 million via high-ranked occupations (24.6-32.8), and 137.9 (129.5-146.2) million by less economic issues (compared with primary education, low-manual occupations, and having economic issues most of the time, respectively)-equivalent to 35.46%, 14.49%, and 55.42% of the Prevented Fraction for Population. Reducing socioeconomic inequalities by 50% could raise these estimations to 148.1 million (134.0-162.8) through education, 43.5 million (37.5-50.3) through occupation, and 223.6 million (209.3-237.8) through less economic issues.

CONCLUSIONS

Enhancing access to university education, high-ranked occupations, and income impacts physical activity population levels in the European Union.

Association of urban environments with Atherosclerotic cardiovascular disease: A prospective cohort study in the UK Biobank

Urban environments and cardiovascular health are closely linked, yet only a few specific exposures have been explored in isolation and mostly adopting cross-sectional design. The influence of socioeconomic status and genetic predisposition also remains unclear. Hence, leveraging the UK Biobank data (n = 206,681), we conducted a prospective analysis of 213 urban environmental variables and their association with atherosclerotic cardiovascular disease (ASCVD). The ExWAS and regularized Cox models analyses highlighted air pollution, industrial sites, and complex street networks as primary environmental risk factors. Instead, land-use density of leisure, public services, infrastructure and residential, and drinking water hardness showed a negative association with ASCVD risk. By integrating sparse canonical correlation and mediation analyses, we found distinct urban environment patterns through diverse pathways influence ASCVD. The environment characterized by pollution and complex streets impact ASCVD through adverse mental health (mediation proportion:30.7 %, 95 % CI:22.4 %-44.0 %), while highly-developed community and high-water hardness environment via cardiometabolic status (22.6 %, 95 % CI:19.7 %-26.0 %). Further, we found low socioeconomic status amplifies disadvantaged urban environment effects on ASCVD, yet there were no similar findings for ASCVD genetic predisposition. This research deepened our understanding of city-cardiovascular health links and the role of socioeconomic status, with implications for urban planning and public health interventions.

Socioeconomic deprivation modifies green space and mental health associations: A within person study

Living in an area with good availability and accessibility of residential green spaces such as parks, woodlands, and residential gardens can improve mental health and reduce the global disease burden. Unlike for physical health, it is not well understood if mental health and green space associations might be modified by local area deprivation. Existing evidence for this association comes from cross-sectional studies, widely considered vulnerable to confounding and bias. Individual time-invariant mental health status, personality, and other factors may result in positive effect modification on green space and mental health associations in more deprived areas. We use fixed-effects models that remove time-invariant confounding by calculating differences within-persons to eliminate this bias and add to the existing evidence. We modelled changes in mental health status, green space, and deprivation (relative to the within-person mean) within 54,666 individuals with a combined total of 300,710 mental health scores from one of the world's largest panel surveys: "Understanding Society" in the UK. We found a positive effect of increasing residential green space on mental health and this was positively modified and intensified by area deprivation before and after adjusting for confounding. Our results support providing green space to protect against the negative impact of socioeconomic deprivation on health, particularly for those moving from a less deprived to a more deprived area.

Validation of the physical activity neighborhood environment scale using geographic information systems among urban men and women in regional China

Aims

To examine the concurrent validity of the Chinese version of Physical Activity Neighborhood Environment Scale (PANES-CHN) among urban adults in regional China.

Methods

With multistage sampling approaches, 801 eligible urban adults aged 35-74 years were recruited from Nanjing municipality of China between July and September of 2019. The neighbourhood built environment features were measured subjectively with PANES-CHN and objectively with geographic information system. The concurrent validity of PANES was assessed using Spearman's correlations (rs).

Results

Among the total 801 participants, the mean age was 54.4 (standard deviation = 11.5), while 48.7 % were men. Overall, of all the five objectively-measurable built environment characteristics, the Spearman correlations were examined significant between subjective and objective measurements for commercial facilities (item 2) (rs = 0.19, 95CI%=0.12, 0.25), recreational facilities (item 6) (rs = 0.10, 95CI%=0.02, 0.16), traffic junctions (item 12) (rs = 0.15, 95CI%=0.07, 0.22), medical/education facilities (item 17) (rs = 0.22, 95CI%=0.15, 0.29), but not for public transport stops. Similar scenarios were observed for participants aged 35-60 years, with sufficient physical activity, men or women. The rs value for medical/education facilities (item 17) was significantly higher in participants aged 35-59 years (0.28 vs. 0.13; p = 0.04) than those aged 60 + years.

Conclusions

PANES-CHN generally has an acceptable validity for assessing built environment characteristics among urban adults in China, which implies that PANES-CHN can be used to measure built environment attributes in health-related population studies.

The impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality in Europe: a data science approach

BACKGROUND

The world is becoming increasingly urbanised. As cities around the world continue to grow, it is important for urban planners and policy makers to understand how different urban configuration patterns affect the environment and human health. However, previous studies have provided mixed findings. We aimed to identify European urban configuration types, on the basis of the local climate zones categories and street design variables from Open Street Map, and evaluate their association with motorised traffic flows, surface urban heat island (SUHI) intensities, tropospheric NO2, CO2 per person emissions, and age-standardised mortality.

METHODS

We considered 946 European cities from 31 countries for the analysis defined in the 2018 Urban Audit database, of which 919 European cities were analysed. Data were collected at a 250 m × 250 m grid cell resolution. We divided all cities into five concentric rings based on the Burgess concentric urban planning model and calculated the mean values of all variables for each ring. First, to identify distinct urban configuration types, we applied the Uniform Manifold Approximation and Projection for Dimension Reduction method, followed by the k-means clustering algorithm. Next, statistical differences in exposures (including SUHI) and mortality between the resulting urban configuration types were evaluated using a Kruskal-Wallis test followed by a post-hoc Dunn's test.

FINDINGS

We identified four distinct urban configuration types characterising European cities: compact high density (n=246), open low-rise medium density (n=245), open low-rise low density (n=261), and green low density (n=167). Compact high density cities were a small size, had high population densities, and a low availability of natural areas. In contrast, green low density cities were a large size, had low population densities, and a high availability of natural areas and cycleways. The open low-rise medium and low density cities were a small to medium size with medium to low population densities and low to moderate availability of green areas. Motorised traffic flows and NO2 exposure were significantly higher in compact high density and open low-rise medium density cities when compared with green low density and open low-rise low density cities. Additionally, green low density cities had a significantly lower SUHI effect compared with all other urban configuration types. Per person CO2 emissions were significantly lower in compact high density cities compared with green low density cities. Lastly, green low density cities had significantly lower mortality rates when compared with all other urban configuration types.

INTERPRETATION

Our findings indicate that, although the compact city model is more sustainable, European compact cities still face challenges related to poor environmental quality and health. Our results have notable implications for urban and transport planning policies in Europe and contribute to the ongoing discussion on which city models can bring the greatest benefits for the environment, climate, and health.

FUNDING

Spanish Ministry of Science and Innovation, State Research Agency, Generalitat de Catalunya, Centro de Investigación Biomédica en red Epidemiología y Salud Pública, and Urban Burden of Disease Estimation for Policy Making as a Horizon Europe project.

Study on the impact of smart city construction on the health of the elderly population--A quasi-natural experiment in China

In the context of global aging, promoting the health of the elderly has become a critical issue. However, whether the development of smart cities can impact the health of older adults remains to be further validated. In this paper, based on panel data from the China Health and Retirement Longitudinal Study (CHARLS), a difference in difference model is used to empirically investigate whether smart city construction improves the health of older people in the region. The results show that smart city construction enhances the health of the elderly. Specifically, the construction achieved a significant improvement in the physical health of the elderly who did not live with their children. The health promotion effect of the smart city was more significant for the urban elderly than for the rural elderly. The elucidated mechanisms of influence suggest that smart cities bring about their effects through the promotion of urban leisure infrastructure, enhancement of medical service provision, advancement in urban environmental protection and stimulation of urban information and communication technology infrastructure development.

Integrating climate resilience with sports, exercise, and public health expenditures on sustainable environment: Evidence from coastal regions of China

The adoption of environmentally-friendly habits has become more crucial in the present period as a means to mitigate the rate of environmental degradation and its detrimental consequences. The augmentation of sports, exercise and physical activities has been associated with favourable health outcomes, in addition to the ability to mitigate carbon emissions resulting from vehicular transportation. Consequently, the objective of this study is to examine the influence of sports, exercise, and physical activities, along with public health expenditure, on the environmental performance of China's coastal regions throughout the period spanning from 2010 to 2019. The proposed study employs the Feasible Generalized Least Squares (F.G.L.S) and the Generalized Method of Moments (G.M.M) methodologies. Results show that participation in sports and other forms of physical activity significantly improves environmental performance in China's coastal areas. Likewise, a robust negative correlation exists between air pollution and healthcare expenses, hence favouring enhanced environmental outcomes. Nevertheless, it is important to acknowledge that economic expansion has a direct correlation with increased emissions, hence harming environmental performance. There exists compelling evidence indicating a significant impact on environmental quality resulting from the combined influence of heightened health expenditures and increased engagement in sports. This is demonstrated by the presence of an interaction term between health expenses and sports activities. The findings of this study suggest that there is a requirement to re-evaluate healthcare spending initiatives and sporting activities in order to effectively pursue carbon neutrality goals and improve environmental sustainability.

Leveraging computer vision for predicting collision risks: a cross-sectional analysis of 2019-2021 fatal collisions in the USA

OBJECTIVE

The USA has higher rates of fatal motor vehicle collisions than most high-income countries. Previous studies examining the role of the built environment were generally limited to small geographic areas or single cities. This study aims to quantify associations between built environment characteristics and traffic collisions in the USA.

METHODS

Built environment characteristics were derived from Google Street View images and summarised at the census tract level. Fatal traffic collisions were obtained from the 2019-2021 Fatality Analysis Reporting System. Fatal and non-fatal traffic collisions in Washington DC were obtained from the District Department of Transportation. Adjusted Poisson regression models examined whether built environment characteristics are related to motor vehicle collisions in the USA, controlling for census tract sociodemographic characteristics.

RESULTS

Census tracts in the highest tertile of sidewalks, single-lane roads, streetlights and street greenness had 70%, 50%, 30% and 26% fewer fatal vehicle collisions compared with those in the lowest tertile. Street greenness and single-lane roads were associated with 37% and 38% fewer pedestrian-involved and cyclist-involved fatal collisions. Analyses with fatal and non-fatal collisions in Washington DC found streetlights and stop signs were associated with fewer pedestrians and cyclists-involved vehicle collisions while road construction had an adverse association.

CONCLUSION

This study demonstrates the utility of using data algorithms that can automatically analyse street segments to create indicators of the built environment to enhance understanding of large-scale patterns and inform interventions to decrease road traffic injuries and fatalities.

Does a sprawling neighborhood affect obesity? Evidence from Indonesia

While the causes of obesity have been widely discussed from various perspectives, studies that examine how the physical form of a neighborhood could causally affect obesity remain limited. This study combined individual-level longitudinal data from the Indonesian Family Life Survey and subdistrict-level land cover data to investigate whether a neighborhood's physical form affects individuals' obesity status. We controlled for individual and location fixed-effect to account for individuals' sorting preferences and unobserved heterogeneity at the subdistrict level. Our results suggest that a sprawling neighborhood corresponds to a lower body mass index, particularly among males. We also show that consumption behavior can explain this mechanism.

Supporting health and wellbeing in health care employees: a documentary review of organizational policies, strategies and frameworks

Background

Health care workers are crucial for a productive and thriving health care system, yet the health and lifestyle behaviour of key groups within this workforce (for example nurses and healthcare assistants/support workers) is typically poor. The extent of health and wellbeing documents that guide action towards improving their health and wellbeing is unknown. Using one health care system, NHS Scotland, as an example, the aim of this study was to assess the number of NHS health boards with workplace documents focused on health and wellbeing of employees, the quality of these documents and the extent to which they reference lifestyle behaviours, namely physical activity.

Methods

Documentary analysis was undertaken on employee health and wellbeing policies (and wider documents). These were sourced through online searches on Google search engine and Freedom of Information Requests sent to all 14 Scottish NHS Health Boards. Titles and content were assessed for relevance to employee health and wellbeing. Content analysis was used to analyse the included documents against eight predefined codes.

Results

Thirteen documents were retrieved with 11 of the 14 Health Boards having at least one relevant document. The content varied greatly between documents with regards to how many reported the eight codes and the quality of content within these. Nine documents mentioned physical activity but mainly in relation to current activities rather than in the context of a future healthy workforce.

Conclusions

Despite the importance of a healthy, health care workforce, more work is needed to ensure high level documents are able to support these efforts, especially with reference to lifestyle behaviours.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

The Urban Environment and Cardiometabolic Health

Urban environments contribute substantially to the rising burden of cardiometabolic diseases worldwide. Cities are complex adaptive systems that continually exchange resources, shaping exposures relevant to human health such as air pollution, noise, and chemical exposures. In addition, urban infrastructure and provisioning systems influence multiple domains of health risk, including behaviors, psychological stress, pollution, and nutrition through various pathways (eg, physical inactivity, air pollution, noise, heat stress, food systems, the availability of green space, and contaminant exposures). Beyond cardiometabolic health, city design may also affect climate change through energy and material consumption that share many of the same drivers with cardiometabolic diseases. Integrated spatial planning focusing on developing sustainable compact cities could simultaneously create heart-healthy and environmentally healthy city designs. This article reviews current evidence on the associations between the urban exposome (totality of exposures a person experiences, including environmental, occupational, lifestyle, social, and psychological factors) and cardiometabolic diseases within a systems science framework, and examines urban planning principles (eg, connectivity, density, diversity of land use, destination accessibility, and distance to transit). We highlight critical knowledge gaps regarding built-environment feature thresholds for optimizing cardiometabolic health outcomes. Last, we discuss emerging models and metrics to align urban development with the dual goals of mitigating cardiometabolic diseases while reducing climate change through cross-sector collaboration, governance, and community engagement. This review demonstrates that cities represent crucial settings for implementing policies and interventions to simultaneously tackle the global epidemics of cardiovascular disease and climate change.

A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

Pedestrians represent a population of vulnerable road users who are directly exposed to complex traffic conditions, thereby increasing their risk of injury or fatality. This study first constructed a multidimensional indicator to quantify pedestrian exposure, considering factors such as Point of Interest (POI) attributes, POI intensity, traffic volume, and pedestrian walkability. Following risk interpolation and feature engineering, a comprehensive data source for risk prediction was formed. Finally, based on risk factors, the VT-NET deep learning network model was proposed, integrating the algorithmic characteristics of the VGG16 deep convolutional neural network and the Transformer deep learning network. The model involved training non-temporal features and temporal features separately. The training dataset incorporated features such as weather conditions, exposure intensity, socioeconomic factors, and the built environment. By employing different training methods for different types of causative feature variables, the VT-NET model analyzed changes in risk features and separately trained temporal and non-temporal risk variables. It was used to generate spatiotemporal grid-level predictions of crash risk across four spatiotemporal scales. The performance of the VT-NET model was assessed, revealing its efficacy in predicting pedestrian crash risks across the study area. The results indicated that areas with concentrated crash risks are primarily located in the city center and persist for several hours. These high-risk areas dissipate during the late night and early morning hours. High-risk areas were also found to cluster in the city center; this clustering behavior was more prominent during weekends compared to weekdays and coincided with commercial zones, public spaces, and educational and medical facilities.

Exploring associations of greenery, air pollution and walkability with cardiometabolic health in people at midlife and beyond

AIM

To examine associations of neighborhood greenery, air pollution and walkability with cardiometabolic disease in adults aged ≥45 years in the Frankston-Mornington Peninsula region, Victoria, Australia.

METHODS

A cross-sectional, ecological study design was used. We assessed mean annual neighborhood greenery using the Normalized Difference Vegetation Index; air pollution (fine particulate matter of diameter ≤2.5 μm [PM2.5] and NO2) using land-use regression models; and walkability using Walk Score (possible values 0-100). Medically diagnosed diabetes (~95% type-2), heart disease and stroke were self-reported in the Australian Census (2021). Multivariable regression was used to model associations between environmental exposures and area-level (neighborhood) cardiometabolic disease prevalence (age group ≥45 years), with socioeconomic status, age and sex as covariates. Air pollution was examined as a mediator of associations between greenery and disease prevalence.

RESULTS

Our sample comprised 699 neighborhoods with the following mean (SD) values: Normalized Difference Vegetation Index 0.47 (0.09), PM2.5, 8.5 (0.6) μg/m3 and NO2, 5.2 (1.6) ppb. Disease prevalences were: heart disease, mean 8.9% (4.5%); diabetes, mean 10.3% (4.7%); and stroke, median 1.2% (range 0-10.9%). Greenery was negatively associated with diabetes (β = -5.85, 95% CI -9.53, -2.17) and stroke prevalence (β = -1.26, 95% CI -2.11, -0.42). PM2.5 and NO2 were positively associated with diabetes (β = 1.59, 95% CI 1.00, 2.18; β = 0.42, 95% CI 0.22, 0.62) and stroke prevalence (β = 0.15, 95% CI 0.01, 0.29; β = 0.06, 95% CI 0.01, 0.10). The association between greenery and diabetes was partially mediated by PM2.5 (mediated effect -5.38, 95% CI -7.84, -3.03).

CONCLUSIONS

Greenery and air pollutants were associated with lower and higher prevalence, respectively, of self-reported diabetes and, to a lesser extent, stroke. These ecological findings require further exploration with stronger, longitudinal study designs to inform public health policy and directions. Geriatr Gerontol Int 2024; 24: 208-214.

How to Achieve a Healthy City: a Scoping Review with Ten City Examples

This scoping review of the literature explores the following question: what systematic measures are needed to achieve a healthy city? The World Health Organization (WHO) suggests 11 characteristics of a healthy city. Measures contributing to these characteristics are extracted and classified into 29 themes. Implementation of some of these measures is illustrated by examples from Freiburg, Greater Vancouver, Singapore, Seattle, New York City, London, Nantes, Exeter, Copenhagen, and Washington, DC. The identified measures and examples indicate that a healthy city is a system of healthy sectors. A discussion section suggests healthy directions for nine sectors in a healthy city. These sectors include transportation, housing, schools, city planning, local government, environmental management, retail, heritage, and healthcare. Future work is advised to put more focus on characteristic 5 (i.e., the meeting of basic needs for all the city's people) and characteristic 10 (i.e., public health and sick care services accessible to all) of a healthy city.

Neighborhood Environmental Burden and Cardiovascular Health in the US

Importance

Cardiovascular disease is the leading cause of death in the US. However, little is known about the association between cumulative environmental burden and cardiovascular health across US neighborhoods.

Objective

To evaluate the association of neighborhood-level environmental burden with prevalence of cardiovascular risk factors and diseases, overall and by levels of social vulnerability.

Design, Settings, and Participants

This was a national cross-sectional study of 71 659 US Census tracts. Environmental burden (EBI) and social vulnerability indices from the US Centers for Disease Control and Prevention (CDC) and Agency for Toxic Substances and Disease Registry were linked to the 2020 CDC PLACES data set. Data were analyzed from March to October 2023.

Exposures

The EBI, a measure of cumulative environmental burden encompassing 5 domains (air pollution, hazardous or toxic sites, built environment, transportation infrastructure, and water pollution).

Main Outcomes and Measures

Neighborhood-level prevalence of cardiovascular risk factors (hypertension, diabetes, and obesity) and cardiovascular diseases (coronary heart disease and stroke).

Results

Across the US, neighborhoods with the highest environmental burden (top EBI quartile) were more likely than those with the lowest environmental burden (bottom EBI quartile) to be urban (16 626 [92.7%] vs 13 414 [75.4%]), in the Midwest (5191 [28.9%] vs 2782 [15.6%]), have greater median (IQR) social vulnerability scores (0.64 [0.36-0.85] vs 0.42 [0.20-0.65]), and have higher proportions of adults in racial or ethnic minority groups (median [IQR], 34% [12-73] vs 12% [5-30]). After adjustment, neighborhoods with the highest environmental burden had significantly higher rates of cardiovascular risk factors than those with the lowest burden, including hypertension (mean [SD], 32.83% [7.99] vs 32.14% [6.99]; adjusted difference, 0.84%; 95% CI, 0.71-0.98), diabetes (mean [SD], 12.19% [4.33] vs 10.68% [3.27]; adjusted difference, 0.62%; 95% CI, 0.53-0.70), and obesity (mean [SD], 33.57% [7.62] vs 30.86% [6.15]; adjusted difference, 0.77%; 95% CI, 0.60-0.94). Similarly, neighborhoods with the highest environmental burden had significantly higher rates of coronary heart disease (mean [SD], 6.66% [2.15] vs 6.82% [2.41]; adjusted difference, 0.28%; 95% CI, 0.22-0.33) and stroke (mean [SD], 3.65% [1.47] vs 3.31% [1.12]; adjusted difference, 0.19%; 95% CI, 0.15-0.22). Results were consistent after matching highest and lowest environmentally burdened neighborhoods geospatially and based on other covariates. The associations between environmental burden quartiles and cardiovascular risk factors and diseases were most pronounced among socially vulnerable neighborhoods.

Conclusions and Relevance

In this cross-sectional study of US neighborhoods, cumulative environmental burden was associated with higher rates of cardiovascular risk factors and diseases, although absolute differences were small. The strongest associations were observed in socially vulnerable neighborhoods. Whether initiatives that address poor environmental conditions will improve cardiovascular health requires additional prospective investigations.

Associations between older adults' going-out frequency and land price of neighbourhoods: Potency of land price as an indicator of homebound tendency

The aim of this study is to identify the potency of land price as a general indicator of the homebound tendency of neighbourhoods. For this purpose, we focus on the associations between land price and older adults' going-out frequency, while considering the similarities and differences from factors associated with walkability. The study targets are 19,270 individuals living in the Tokyo metropolitan area who are aged 65 years or older who are not certified as needing public long-term care insurance. This study uses a two-step procedure: a) the land price of each neighbourhood is estimated using rent price data from 2010 to 2019 collected by an official Japanese realtor organization; b) the associations between older adults' goingout frequency, according to the 2016 Japan Gerontological Evaluation Study, and the estimated land price of their neighbourhoods is identified using multilevel analysis. The results indicate that land price has strong negative associations with older adults' going-out frequency. Associations between land price or other walkability-associated factors, such as population density, ratio of commercial area, and proximity to the nearest train station, only appear when these factors and land price are included within the same model. The results suggest that, when inspecting homebound tendency in some neighbourhoods, factors relating to the built environment must be considered alongside land prices. Furthermore, the homebound status of older adults is a pressing challenge, especially in neighbourhoods with high land prices.

Associations between urban exposome and recurrence risk among survivors of acute myocardial infarction in Beijing, China

Few previous studies have investigated the impacts of coexposure to multiple urban environmental factors on the prognosis of acute myocardial infarction (AMI) events. This study aimed to evaluate the associations between the urban exposome and AMI recurrence. We used data from 88,509 AMI patients from a large cohort obtained from the Beijing Cardiovascular Disease Surveillance System between 2013 and 2019. Twenty-six types of urban exposures were assessed within 300-m, 500-m, and 1000-m buffers of patients' home addresses in the baseline and cumulative average levels. We used the Cox proportional hazard model along with the Elastic Net (ENET) algorithm to estimate the hazard ratios (HRs) of recurrent AMI per interquartile range increase in each selected urban exposure. The increased risk of AMI recurrence was significantly associated with lower urban function diversity in the 500-m buffer, longer distance to subway stations and higher PM2.5 for both baseline and cumulative average exposure. The cumulative averages of two urban factors, including the distance to parks, and the density of fruit and vegetable shops in the 1000-m buffer, were also identified as significant factors affecting the risk of AMI recurrence. These findings can help improve the urban design for promoting human cardiovascular health.

Five urban health research traditions: A meta-narrative review

Urban health scholars explore the connection between the urban space and health through ontological perspectives that are shaped by their disciplinary traditions. Without explicit recognition of the different approaches, there are barriers to collaboration. This paper maps the terrain of the urban health scholarship to identify key urban health research traditions; and to articulate the main features distinguishing these different traditions. We apply a meta-narrative review guided by a bibliometric co-citation network analysis to the body of research on urban health retrieved from the Web of Science Core Collection. Five urban health research traditions were identified: (1) sustainable urban development, (2) urban ecosystem services, (3) urban resilience, (4) healthy urban planning, and (5) urban green spaces. Each research tradition has a different conceptual and thematic perspective to addressing urban health. These include perspectives on the scale of the urban health issue of interest, and on the conceptualisation of the urban context and health. Additionally, we developed a framework to allow for better differentiation between the differing research traditions based on (1) perspectives of the urban system as complicated or complex, (2) the preferred locus of change as a function of structure and agency and (3) the geographic scale of the urban health issue that is addressed. These dimensions have even deeper implications for transdisciplinary collaboration as they are underpinned by paradigmatic differences, rather than disciplinary differences. We conclude that it is essential for urban health researchers to reflect on the different urban health approaches and seek coherence by understanding their similarities and differences. Such endeavours are required to produce and interpret transdisciplinary knowledge for the goal of improving health by transforming urban systems.

Spatial scale analysis for the relationships between the built environment and cardiovascular disease based on multi-source data

To examine what built environment characteristics improve the health outcomes of human beings is always a hot issue. While a growing literature has analyzed the link between the built environment and health, few studies have investigated this relationship across different spatial scales. In this study, eighteen variables were selected from multi-source data and reduced to eight built environment attributes using principal component analysis. These attributes included socioeconomic deprivation, urban density, street walkability, land-use diversity, blue-green space, transportation convenience, ageing, and street insecurity. Multiscale geographically weighted regression was then employed to clarify how these attributes relate to cardiovascular disease at different scales. The results indicated that: (1) multiscale geographically weighted regression showed a better fit of the association between the built environment and cardiovascular diseases than other models (e.g., ordinary least squares and geographically weighted regression), and is thus an effective approach for multiscale analysis of the built environment and health associations; (2) built environment variables related to cardiovascular diseases can be divided into global variables with large scales (e.g., socioeconomic deprivation, street walkability, land-use diversity, blue-green space, transportation convenience, and ageing) and local variables with small scales (e.g., urban density and street insecurity); and (3) at specific spatial scales, global variables had trivial spatial variation across the area, while local variables showed significant gradients. These findings provide greater insight into the association between the built environment and lifestyle-related diseases in densely populated cities, emphasizing the significance of hierarchical and place-specific policy formation in health interventions.

Is the expansion of the subway network alone capable of improving local air quality? A study case in São Paulo, Brazil

One of the policies adopted to reduce vehicular emissions is subway network expansion. This work fitted interrupted regression models to investigate the effects of the inauguration of subway stations on the mean, trend, and seasonality of the NO, NO2, NOx, and PM10 local concentrations. The regions investigated in the city of São Paulo (Brazil) were Pinheiros, Butantã, and St. Amaro. In Pinheiros, after the inauguration of the subway station, there were downward trends for all pollutants. However, these trends were not significantly different from the trends observed before. In Butantã, only regarding NO, there was a significant reduction and seasonal change after the subway station's inauguration. In St. Amaro, no trend in the PM10 concentration was noted. The absence of other transportation and land use policies in an integrative way to the subway network expansion may be responsible for the low air quality improvement. This study highlights that the expansion of the subway network must be integrated with other policies to improve local air quality.

Compact City: What Is the Extent of Our Exploration for Its Meanings? A Systematic Review

The compact city has garnered significant attention from researchers in academia, particularly in recent years, due to its relevance to various global challenges, such as climate change, COVID-19, economic crises, and urbanization. Given the vast knowledge represented in the compact city literature and its diverse perspectives, this study aims is a comprehensive literature review through bibliometric analysis. Following the PRISMA protocol, a total of 570 articles from the Scopus database published in English between 1973 and 2022 underwent screening at two main levels of bibliometric analysis: performance analysis and science mapping. The findings of this study reveal a substantial increase in scientific production related to the compact city over the years. Furthermore, the concept of the compact city encompasses multiple dimensions, with a significant emphasis on the urban dimension. Remarkably, Asian countries (regions), particularly mainland China and China-Hong Kong, demonstrate a notable interest in the compact city concept. In conclusion, this study provides valuable insights into the scientific production of compact city literature, highlighting its growth, multidimensionality, and geographic focus, which can inform future research and policymaking efforts.

Road safety, health equity, and the built environment: perspectives of transport and injury prevention professionals in five Canadian municipalities

BACKGROUND

Concerns regarding health equity (HE) and the built environment (BE) are well established in the Canadian urban context. Transport and injury prevention professionals across sectors, such as transportation and public health, are involved in designing and implementing BE interventions that enhance the safety of vulnerable road users (VRUs). Results from a larger study examining barriers and facilitators to BE change are used to illustrate how transport and injury prevention professionals perceive HE concerns in their work in five Canadian municipalities. Broadening our understanding of how HE influences the professional BE change context is crucial when advocating for modifications that enhance the safety of equity-deserving VRUs and groups who experience marginalization.

METHODS

Interview and focus group data were gathered from transport and injury prevention professionals working in policy/decision-making, transport, police services, public health, non-profit organizations, schools/school boards, community associations, and private sectors across five Canadian urban municipalities: Vancouver, Calgary, Peel Region, Toronto, and Montréal. Data were analyzed using thematic analysis (TA) to illustrate how equity considerations were perceived and applied in participants' BE change work.

RESULTS

The results of this study illustrate transport and injury prevention professionals' awareness of the varying needs of VRUs, as well as the inadequacies of current BEs in the Canadian urban context and consultation processes utilized to guide change. Participants emphasized the importance of equitable community consultation strategies, as well as specific BE changes that would support the health and safety of VRUs. Overall, the results highlight how HE concerns inform transport and injury prevention professionals' BE change work in the Canadian urban context.

CONCLUSION

For professionals working in urban Canadian transport and injury prevention sectors HE concerns influenced their perspectives of the BE and BE change. These results illustrate a growing need for HE to guide BE change work and consultation processes. Further, these results contribute to ongoing efforts in the Canadian urban context to ensure that HE is at the forefront of BE policy change and decision-making, while promoting existing strategies to ensure that the BE, and related decision-making processes, are accessible and informed by a HE lens.

National policies on physical activity from 64 countries with different economies: a scoping review with thematic analysis

In 2018, the World Health Organization (WHO) launched a Global Action Plan on Physical Activity (PA), which included 20 policy actions for creating active societies, environments, people and systems. The objective of this scoping review was to summarize the themes/contents of national PA policies/plans conforming to the WHO's proposals and the country's economy. This review followed Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews. A systematic search of electronic databases (Web of Science, Medline/PubMed, LILACS, PsycINFO, Scopus and SPORTDiscus) and 441 government documents/websites from 215 countries/territories was conducted (February 2021). Documents on national-level policies, published in English, Spanish and Portuguese since 2000, were eligible. The information on content and structure was systematically extracted and summarized into dimensions proposed by the WHO: active societies, environments, people and systems. The search identified 888 article references and 586 potentially relevant documents. After the screening, 84 policy documents from 64 countries were eligible. Most documents (n = 46) provided detailed PA policies/plans amid other health topics (e.g. non-communicable diseases, named 'general documents'), and 38 were PA-specific. The content analysis merged 54 visions, 65 missions, 108 principles, 119 objectives, 53 priorities, 105 targets, 126 indicators and 1780 actions/strategies from 38 PA-specific and 46 general documents. Among the PA-specific documents, the active system's dimension was the most contemplated in the principles (n = 43), priorities (n = 51) and action/strategies (n = 530) elements. At the same time, the objectives (n = 39), targets (n = 52) and indicators (n = 58) presented contents more frequently related to the active people dimension. For the general documents, all principles (n = 4), objectives (n = 14) and priorities (n = 7) were related to the dimension of active people, while target (n = 51), indicator (n = 53) and actions/strategies (n = 292) elements presented content related to all dimensions. The increase in countries with national PA policies/plans should be followed by improving the current ones because important dimensions seem to be not considered in these documents. This will facilitate a global PA agenda that considers the complexity and multidimensionality of PA promotion.

Urban densification over 9 years and change in the metabolic syndrome: A nationwide investigation from the ORISCAV-LUX cohort study

A growing body of evidence suggests that urban densification may be protective against obesity, type 2 diabetes, and cardiometabolic diseases, yet studies on how built environmental features relate to metabolic syndrome (MetS) and its components are scarce. This longitudinal study examines the associations of baseline urban density and densification over 9 years with MetS and MetS components, among 510 participants enrolled in both waves of the ORISCAV-LUX study (2007-2017) in Luxembourg. A continuous MetS score (siMS) was calculated for each participant. Six features of residential built environments were computed around participants' home address: street connectivity, population density, density of amenities, street network distance to the nearest bus station, density of public transport stations, and land use mix. A composite index of urban densification (UDI) was calculated by averaging the six standardized built environment variables. Using adjusted generalized estimating equation (GEE) models, one-SD increase in UDI was associated with a worsening of the siMS score (β = 0.07, 95% CI: 0.02, 0.13), higher triglyceride levels (β = 0.05, 95% CI: 0.02, 0.09), and lower HDL-c levels (β = -1.29, 95% CI: -2.20, -0.38). The detrimental effect of UDI on lipid levels was significant only for participants living in dense areas at baseline. Higher baseline UDI, as well as increased UDI over time among movers, were also associated with greater waist circumference. There were no associations between UDI, fasting plasma glucose and systolic blood pressure. Sex and neighborhood socio-economic status did not moderate the associations between UDI and the cardiometabolic outcomes. Overall, we found limited evidence for an effect of urban densification on MetS and its components. Understanding urban dynamics remains a challenge, and more research investigating the independent and joint health effect of built environment features is needed to support urban planning and design that promote cardiometabolic health.

Using street view imagery to examine the association between urban neighborhood disorder and the long-term recurrence risk of patients discharged with acute myocardial infarction in central Beijing, China

Background

To examine the association between urban neighborhood disorder and the recurrence risk of patients with acute myocardial infarction (AMI) in central Beijing, China.

Methods

Recurrent AMI was identified by the Beijing Monitoring System for Cardiovascular Diseases through the end of 2019 for patients discharged with AMI between 2007 and 2017. Cox proportional hazards models were performed to estimate associations between neighborhood disorder and AMI recurrence.

Results

Of 66,238 AMI patients, 11,872 had a recurrent event, and 3117 died from AMI during a median followup of 5.92 years. After covariate adjustment, AMI patients living in the high tertile of neighborhood disorder had a higher recurrence risk (hazard ratio [HR] 1.08, 95 % confidence interval [CI], 1.03-1.14) compared with those in the low tertile. A stronger association was noted for fatal recurrent AMI (HR 1.21, 95 % CI 1.10-1.34). The association was mainly observed in females (HR 1.04, 95 % CI: 1.02 to 1.06).

Conclusions

Serious neighborhood disorder may contribute to higher recurrence risk, particularly fatal recurrence, among AMI patients. Policies to eliminate neighborhood disorders may play an important role in the secondary prevention of cardiovascular disease.

Transportation-related Environmental Mixtures and Diabetes Prevalence and Control in Urban/Metropolitan Counties in the United States

Diabetes rates in the United States are staggering and climbing. Importantly, traditional risk factors fail to completely account for the magnitude of the diabetes epidemic. Environmental exposures, including urban and metropolitan transportation quality, are implicated as contributors to disease. Using data from the county-level Environmental Quality Index (EQI) developed for the United States, we analyzed associations between transportation and air quality environmental metrics with overall diabetes prevalence and control within urban/metropolitan counties in the United States from 2006 to 2012. Additionally, we examined effect modification by race/ethnicity through stratification based on the county-level proportion of minority residents. Last, we applied mixture methods to evaluate the effect of simultaneous poor transportation factors and worse air quality on the same outcomes. We found that increased county-level particulate matter air pollution and nitrogen dioxide along with reduced public transportation usage and lower walkability were all associated with increased diabetes prevalence. The minority proportion of the population influences some of these relationships as some of the effects of air pollution and the transportation-related environment are worse among counties with more minority residents. Furthermore, the transportation and air quality mixtures were found to be associated with increased diabetes prevalence and reduced diabetes control. These data further support the burgeoning evidence that poor environments amplify diabetes risk. Future cohort studies should explore the utility of environmental policies and urban planning as tools for improving metabolic health.

Effects of built and natural environments on leisure physical activity in residential and workplace neighborhoods

Few studies have investigated relative contributions of the built and natural environments to and their nonlinear associations with leisure physical activity (PA) in different spatial contexts. Applying gradient boosting decision tree models to data comprising 1049 adults collected in Shanghai, we investigated the associations between built and natural environments and leisure PA in residential and workplace neighborhoods. Results show that the built environment is more important than the natural environment to leisure PA in both residences and workplaces. Environmental attributes have nonlinear and threshold effects. Within certain ranges, land use mix and population density have opposite associations with leisure PA in residences and workplaces, whereas the distance to the city center and the area of water are associated with leisure PA in residences and workplaces with the same direction. These findings help urban planners design context-specific environmental interventions for supporting leisure PA.

Walkability and urban built environments-a systematic review of health impact assessments (HIA)

BACKGROUND

Urban environments are important determinants of human health. The term walkability summarizes features of the urban built environment that promote walking and other types of physical activity. While the beneficial effects of active and public transport have been well established, the health impact of other features of walkability are less well documented.

METHODS

We conducted a systematic review of health impact assessments (HIAs) of walkability. Studies were identified through PUBMED and Science Direct, from two German websites related to urban health and reference tracking. Finally, 40 studies were included in the present review. We applied qualitative thematic analysis to summarize the major results from these studies.

RESULTS

Most of the HIAs (n = 31) reported the improvement of health or health behaviour resulting from an investigated project or policy. However, three HIAs reported a lack of improvement or even a decrease of health status. In parallel, 13 HIAs reported a gain in economic value, whereas one reported a lack or loss of economic effects. Moreover, three HIAs reported on social effects and six HIAs gave additional recommendations for policies or the implementation of projects or HIAs.

CONCLUSIONS

Most HIAs investigate the impact of increasing active or public transport. Other features of walkability are less well studied. With few exceptions, HIAs document beneficial impacts of improving walkability on a variety of health outcomes, including reductions of mortality and non-communicable diseases.

Impact of economic growth on physical activity and sedentary behaviors: a Systematic Review

OBJECTIVES

This study systematically reviewed scientific evidence regarding the impact of economic growth on physical activity (PA) and sedentary behaviors.

METHODS

A keyword and reference search was conducted in PubMed, Web of Science, Cochrane Library, Scopus, and EBSCO from the inception of an electronic bibliographic database to November 2021. Studies that met all of the following criteria were included in the review: (1) study designs: observational studies; (2) study subjects: people of all ages; (3) exposure: macroeconomic growth; (4) outcomes: PA or sedentary behaviors/sitting time.

RESULTS

15 studies were identified. Eight among 12 studies found economic growth positively associated with at least one domain/measure of PA, whereas the remaining four found an inverse relationship. One of two studies examined the association of economic growth and physical inactivity found a positive relationship, while another found no significant relationship. Four studies examined the associations between economic growth and sedentary behaviors, and the results were inconclusive. The impact of economic growth on PA is through three main pathways-(a) building and maintaining parks and green spaces, (b) adoption of the modern workplace and high technology, and (c) motorized transportation.

CONCLUSION

Building and maintaining parks and green spaces can effectively promote leisure time physical activity and active commute in developed countries, whereas promoting workplace and transportation-related PA could be prioritized in developing nations. Future research calls for longitudinal study design and further exploration of macro-environmental factors. Policymakers and stakeholders should be informed about the potential PA reduction resulting from economic growth and develop preventive strategies to alleviate the problem.

Associations between neighborhood walkability and walking following residential relocation: Findings from Alberta's Tomorrow Project

Introduction

Cross-sectional studies consistently find that the neighborhood built environment (e.g., walkability) is associated with walking. However, findings from the few existing longitudinal residential relocation studies that have estimated associations between changes in neighborhood built characteristics and walking are equivocal. The study objective was to estimate whether changes in neighborhood walkability resulting from residential relocation were associated with leisure, transportation, and total walking levels among adults.

Methods

This study included longitudinal data from the "Alberta's Tomorrow Project"-a province-wide cohort study (Alberta, Canada). The analysis included data collected at two time points (i.e., baseline and follow-up) from 5,977 urban adults. The International Physical Activity Questionnaire (IPAQ) captured self-reported walking. We estimated neighborhood walkability, an index capturing intersection, destination, and population counts for the 400 m Euclidean buffer around participants' homes. Using household postal codes reported at baseline and follow-up, we categorized participants into three groups reflecting residential relocation ("non-movers:" n = 5,679; "movers to less walkability:" n = 164, and; "movers to more walkability:" n = 134). We used Inverse-Probability-Weighted Regression Adjustment to estimate differences [i.e., average treatment effects in the treated (ATET)] in weekly minutes of leisure, transportation, and total walking at follow-up between residential relocation groups, adjusting for baseline walking, sociodemographic characteristics, and walkability. The median time between baseline and follow-up was 2-years.

Results

The three residential relocation groups mainly included women (61.6-67.2%) and had a mean age of between 52.2 and 55.7 years. Compared to "non-movers" (reference group), weekly minutes of transportation walking at follow-up was significantly lower among adults who moved to less walkable neighborhoods (ATET: -41.34, 95 CI: -68.30, -14.39; p < 0.01). We found no other statistically significant differences in walking between the groups.

Discussion

Our findings suggest that relocating to less walkable neighborhoods could have detrimental effects on transportation walking to the extent of adversely affecting health. Public health strategies that counteract the negative impacts of low walkable neighborhoods and leverage the supportiveness of high walkable neighborhoods might promote more walking.

Measuring the effects of Compactness/Sprawl on COVID 19 spread patterns at the neighborhood level

This study analyzes the compactness/sprawl index and its effects on the spread of COVID-19 in the neighborhoods of Ahvaz, Iran. Multiple Criteria Decision Making and GIS techniques were used to develop the index. Also, the effects of compactness/sprawl on COVID-19 were investigated using a regression model. It was found that when considering the number of COVID-19 cases per 1000 people, the compactness/sprawl index did not affect the spread of the disease. However, it had a low but significant effect if the raw number of cases was considered. Results also showed that the compactness index significantly affected the raw number of cases, with a coefficient of 0.291, indicating that more compact neighborhoods had more COVID-19 cases. This is unsurprising as more people live in compact areas and, therefore, the raw number of cases is also likely to be higher. In the absence of proper control measures, this could result in further contact between people, thereby, increasing the risk of virus spread. Overall, we found that compactness had a dual effect on the spread of COVID-19 in Ahvaz. We conclude that proper development and implementation of control measures in well-designed compact neighborhoods are essential for enhancing pandemic resilience.

Contextual and environmental factors that influence health: A within-subjects field experiment protocol

Background

Despite the growing research on environment-physical activity (PA) relationships, field experimental studies are limited. Such studies offer opportunities to focus on real-world environmental exposure and related PA and health outcomes, allowing researchers to better isolate the causal effect of exposures/interventions. Focusing on the street/pedestrian environment as a routine setting for people's daily activities, this research aims to develop and test a field experiment protocol that integrates instantaneous assessments of the environment, PA, and health outcomes. The protocol involves the use of state-of-the-art environmental monitoring and biosensing techniques and focuses on physically active road users (pedestrians and bicyclists) who are more directly exposed to their surrounding environment than others such as drivers.

Methods/Design

An interdisciplinary research team first identified the target measurement domains for the health outcomes (e.g., stress, thermal comfort, PA) and the street-level environmental exposures (e.g., land use, greenery, infrastructure conditions, air quality, weather) guided by the previous literature which was primarily observational. Portable or wearable measurement instruments (e.g., GPS, accelerometer, biosensor, mini camera, smartphone app, weather station, air quality sensor) were identified, pilot tested, and selected for the identified measures. We ensured that these measures are readily linkable using the time stamp and include eye-level exposures as they impact the users' experiences more directly yet missing in most prior studies relying on secondary, aerial-level measures. A 50-min experimental route was then determined to include typical everyday environments in park and mixed-use settings and to engage participants in three common modes of transportation (walking, bicycling, and driving). Finally, a detailed staff protocol was developed, pilot-tested, and used in a 36-participant within-subject field experiment in College Station, TX. The experiment was successfully executed, showing its potential to support future field experiments that can provide more accurate real-time, real-environment, and multi-dimensional information.

Discussion

Our study demonstrates the feasibility of capturing the multifold health benefits/harms related to walking and bicycling in varying urban environments by combining field experiments with environmental, behavioral, and physiological sensing. Our study protocol and reflections can be helpful for a broad spectrum of research addressing the complex and multi-level pathways between the environment, behavior, and health outcomes.

Impacts of Built-Environment on Carbon Dioxide Emissions from Traffic: A Systematic Literature Review

With the acceleration of global urbanization, the interaction between the urban built environment and transportation carbon emissions (TCE) has become an urgent problem and an area of intensive research. This paper presents a bibliometric and visual analysis of 1060 pieces of literature related to the built environment and TCE from 1998 to 2022. It explores the current research progress and future development trends in this field. The results show the following. (1) The number of papers published on the built environment and TCE during this period has shown a continuous increasing trend, and the periods of growth can be divided into three stages. (2) Research in this area has been carried out in many countries and regions around the world, involving different dimensions such as examinations at the city, provincial, and national levels. (3) Through an analysis involving keyword clustering, a keyword hotspot map, and a burst map, we have established that the research on TCE has exhibited step-by-step growth, and the carbon emissions from vehicles is the topic that has been considered over the longest period. (4) The impact of the built environment on TCE can be broadly divided into macro-functional and micromorphological factors.

Knowledge mapping of population health: A bibliometric analysis

In recent years, population health has aroused great interest, especially after the outbreak of Covid-19. The related research increases substantially year by year. There are many kinds of research about population health, but few scholars use the bibliometric method to discuss them. Motivated by keeping abreast of emerging trends and critical turns in population health, this study adopts the bibliometric method to analyze the development history and status quo of population health, providing a summary description for it. This study adopts CiteSpace to conduct a bibliometric analysis of publications related to population health in Web of Science from 1971 to 2021. The most productive countries, authors, institutions, and research direction changes are analyzed. The research results show that: First, the number of publications and citations related to population health increases for years, especially in Canada, the United States, the United Kingdom, and Australia. Second, the number of publications by different countries or institutions in population health varies greatly, and they cooperate closely. Third, the co-occurrence of disciplines and keywords in population health is displayed. Finally, this study reveals the primary research force, the major themes, significant milestones, landmarks, and the evolution of the hot fronts. In all, the comprehensive analysis of this study would provide some enlightenment for future research.

Nationwide equity assessment of the 20-min neighbourhood in the scottish context: A socio-spatial proximity analysis of residential locations

The 20-min neighbourhood (20 MN) is a method of designing neighbourhoods in such a way that individuals can meet the majority of their daily needs within a 10-min walk (therefore a 20-min return trip) of their home. The Scottish Government have committed to apply the 20 MN concept nationwide, focusing on disadvantaged communities. The aims of this study were to: (1) create 20 MN catchment areas for health, transport, education, social and recreational domains; (2) describe the number of residential locations within 20 MN domain catchment areas; and (3) describe variation in access to 20 MN domains by area-level socioeconomic status and urbanicity. 20 MN catchment areas (800-m) were created for 10 domains using road and path network analysis. All Scottish residential locations (n:146,190) were plotted, assigned area-level socioeconomic status and urbanicity. A dichotomised (yes/no) variable was created to identify whether it was within a 10-min walk of individual 20 MN domains. One in five residential locations had access to all 10 20 MN domains (Urban: 28%, Rural: 5%). There was variation in proportion of residential locations that has access to at least one facility by domains; 91% had access to at least one public transport stop and 84% a public open space. There was poorer access to primary care services (42%) and healthy food retailers (50%). Across all domains, access to at least one facility was greater within the most deprived areas. Access to 20 MN domains was greatest in areas where individual health status tends to be worse. A policy focusing solely on improving access to key facilities and amenities for deprived areas may be ineffective in reducing health inequalities. Future studies should assess the quality of facilities and co-location with health damaging facilities, particularly within more deprived areas. Alternative policy approaches may be required for improving access to facilities and amenities for rural communities.

Deciphering the impact of urban built environment density on respiratory health using a quasi-cohort analysis of 5495 non-smoking lung cancer cases

INTRODUCTION

Lung cancer is a major health concern and is influenced by air pollution, which can be affected by the density of urban built environment. The spatiotemporal impact of urban density on lung cancer incidence remains unclear, especially at the sub-city level. We aimed to determine cumulative effect of community-level density attributes of the built environment on lung cancer incidence in high-density urban areas.

METHODS

We selected 78 communities in the central city of Shanghai, China as the study site; communities included in the analysis had an averaged population density of 313 residents per hectare. Using data from the city cancer surveillance system, an age-period-cohort analysis of lung cancer incidence was performed over a five-year period (2009-2013), with a total of 5495 non-smoking/non-secondhand smoking exposure lung cancer cases. Community-level density measures included the density of road network, facilities, buildings, green spaces, and land use mixture.

RESULTS

In multivariate models, built environment density and the exposure time duration had an interactive effect on lung cancer incidence. Lung cancer incidence of birth cohorts was associated with road density and building coverage across communities, with a relative risk of 1·142 (95 % CI: 1·056-1·234, P = 0·001) and 1·090 (95 % CI: 1·053-1·128, P < 0·001) at the baseline year (2009), respectively. The relative risk increased exponentially with the exposure time duration. As for the change in lung cancer incidence over the five-year period, lung cancer incidence of birth cohorts tended to increase faster in communities with a higher road density and building coverage.

CONCLUSION

Urban planning policies that improve road network design and building layout could be important strategies to reduce lung cancer incidence in high-density urban areas.