Making cities mental health friendly for adolescents and young adults.

Urban life shapes the mental health of city dwellers, and although cities provide access to health, education and economic gain, urban environments are often detrimental to mental health1,2. Increasing urbanization over the next three decades will be accompanied by a growing population of children and adolescents living in cities3. Shaping the aspects of urban life that influence youth mental health could have an enormous impact on adolescent well-being and adult trajectories4. We invited a multidisciplinary, global group of researchers, practitioners, advocates and young people to complete sequential surveys to identify and prioritize the characteristics of a mental health-friendly city for young people. Here we show a set of ranked characteristic statements, grouped by personal, interpersonal, community, organizational, policy and environmental domains of intervention. Life skills for personal development, valuing and accepting young people's ideas and choices, providing safe public space for social connection, employment and job security, centring youth input in urban planning and design, and addressing adverse social determinants were priorities by domain. We report the adversities that COVID-19 generated and link relevant actions to these data. Our findings highlight the need for intersectoral, multilevel intervention and for inclusive, equitable, participatory design of cities that support youth mental health.

A warming-induced reduction in snow fraction amplifies rainfall extremes.

The intensity of extreme precipitation events is projected to increase in a warmer climate1-5, posing a great challenge to water sustainability in natural and built environments. Of particular importance are rainfall (liquid precipitation) extremes owing to their instantaneous triggering of runoff and association with floods6, landslides7-9 and soil erosion10,11. However, so far, the body of literature on intensification of precipitation extremes has not examined the extremes of precipitation phase separately, namely liquid versus solid precipitation. Here we show that the increase in rainfall extremes in high-elevation regions of the Northern Hemisphere is amplified, averaging 15 per cent per degree Celsius of warming-double the rate expected from increases in atmospheric water vapour. We utilize both a climate reanalysis dataset and future model projections to show that the amplified increase is due to a warming-induced shift from snow to rain. Furthermore, we demonstrate that intermodel uncertainty in projections of rainfall extremes can be appreciably explained by changes in snow-rain partitioning (coefficient of determination 0.47). Our findings pinpoint high-altitude regions as 'hotspots' that are vulnerable to future risk of extreme-rainfall-related hazards, thereby requiring robust climate adaptation plans to alleviate potential risk. Moreover, our results offer a pathway towards reducing model uncertainty in projections of rainfall extremes.

From road centrelines to carriageways-A reconstruction algorithm.

Roads are important for many urban planning applications, such as traffic modelling and delivery vehicle routing. At present, most available datasets represent roads only as centrelines. This is particularily true for OpenStreetMap which provides, among many features, road networks at worldwide coverage. Furthermore, most approaches for creating more detailed networks, such as carriageways or lanes, focus on doing so from sources that are not easy to acquire, such as satellite imagery or LiDAR scans. In this paper we present a methodology to create carriageways based on OpenStreetMap's centrelines and open access areal representations (i.e. polygons) to determine which roads should be represented as two individual carriageways. We applied our methodology in five areas across four different countries with different built environments. We analysed the outcome in a delivery routing problem to evaluate the validity of our results. Our results suggest that this method can be effectively applied to create carriageways anywhere in the world, as long as there is sufficient coverage by OpenStreetMap and an areal representation dataset of roads.

Neighborhood Built Environment and Late-Life Depression: A Multilevel Path Analysis in a Chinese Society.

OBJECTIVES: Neighborhood built environments (BEs) are increasingly recognized as being associated with late-life depression. However, their pathways are still understudied. This study investigates the mediating effects of physical and social activities (PA and SA) and functional ability (FA) in the relationships between BEs and late-life depression. METHODS: We conducted a cross-sectional analysis with data from 2,081 community-dwellers aged 65 years and older in Hong Kong in 2014. Two road-network-based service area buffers (200- and 500-m buffers) adjusted by terrain and slope from participants' residences were created to define the scope of neighborhoods. BEs comprised population density in District Council Constituency Areas, urban greenness, land-use diversity, and neighborhood facilities within 200- and 500-m buffers. Multilevel path analysis models were used. RESULTS: More urban greenness within both buffers and more commercial facilities within a 500-m buffer were directly associated with fewer depressive symptoms. SA mediated the relationship between the number of community facilities and depressive symptoms within a 200-m buffer. Neighborhood urban greenness and the number of commercial facilities had indirect associations on depressive symptoms within a 500-m buffer, which were mediated by FA. DISCUSSION: Our findings have implications for the ecological model of aging. The mediating effects of SA and FA underscore the importance of promoting active social lifestyles and maintaining FA for older adults' mental health in high-density cities. Policy implications on how to build age-friendly communities are discussed.

Built Environment Interventions to Increase Active Travel: a Critical Review and Discussion.

PURPOSE OF REVIEW: To review the literature on built environment interventions to increase active travel, focusing on work since 2000 and on methodological choices and challenges affecting studies. RECENT FINDINGS: Increasingly, there is evidence that built environment interventions can lead to more walking or cycling. Evidence is stronger for cycling than for walking interventions, and there is a relative lack of evidence around differential impacts of interventions. Some of the evidence remains methodologically weak, with much work in the 'grey' literature. While evidence in the area continues to grow, data gaps remain. Greater use of quasi-experimental techniques, improvements in routine monitoring of smaller schemes, and the use of new big data sources are promising. More qualitative research could help develop a more sophisticated understanding of behaviour change.

Association of the built environments and health-related quality of life in community-dwelling older adults: a cross-sectional study.

PURPOSE: The relationship between built environments and the quality of life (QoL) of the elderly has gained great attention in recent years. However, most QoL studies have been conducted in western countries; thus, limited research was found in Asia, in which the population density, urban forms, narrow roadways, and land use patterns are more compact and highly mixed in terms of use. Therefore, the purpose of this study was an interdisciplinary analysis of two national datasets, the National Land Use Investigation and the National Health Interview Survey, to explore the relationship between built environments and the health-related quality of life of older adults in Taiwan. METHODS: Eight types of built environments at the township level were calculated, and 1222 nationally representative older adults aged 65 and older were recruited. The outcome variable was health-related QoL as measured using the EQ-5D, including utility score and the EQ-VAS. Statistical methods included descriptive analysis, bivariate analysis, and mixed-effects logistic regression analysis, which were conducted using SAS 9.4 software. RESULTS: The results showed that a significant relationship exists between cultural and historical facilities and low EQ-VAS; none of the built environments were found to be related to the EQ-5D. Individual factors are the main determinants of the EQ-5D of older adults in Taiwan. Positive relationships were found if older adults were engaging in physical activities and social participation. CONCLUSIONS: We suggest that building a supportive environment in which elderly people could consistently engage in physical activities and social participation is another potential approach that might contribute to active aging.

Distribución de espacios verdes y actividades públicas gratuitas para realizar actividad física en la ciudad de Buenos Aires / Distribution of green spaces and public activities free for physical activity in the city of Buenos Aires

El sedentarismo está aumentando en la Ciudad Autónoma de Buenos Aires (CABA). Es importante estudiar el ambiente construido que promueve la realización de actividad física (AF). Nuestro objetivo fue analizar la distribución del espacio verde (EV) apto para realizar AF, así como la oferta estatal de actividades deportivas gratuitas en la ciudad. Se realizó un estudio ecológico analizando y mapeando datos según fuentes e informes oficiales de CABA para 2015. Hicimos un análisis por número absoluto, superficie, densidad poblacional y valor promedio del metro cuadrado construido por comuna. Además, realizamos un análisis cualitativo según imágenes satelitales de la ciudad. La mediana de espacio verde apto para AF era de 2,6 m2/habitante (rango intercuartílico de 1,0 a 4,6). La menor cantidad estuvo en las comunas céntricas, más densamente pobladas, así como en la mayoría de las de menor valor del terreno (una de estas tenía buena cantidad de EV, pero con un ambiente construido que podría limitar la realización de AF). En cambio, en cuanto a las actividades deportivas gratuitas, a menor valor del terreno había mayor oferta. Estos resultados deben analizarse junto con condiciones ambientales y de seguridad para la planificación integral de la ciudad. (AU)

Sedentary lifestyle is increasing in Buenos Aires City (CABA). It is important to study the built environment that promotes physical activity (PA). Our objective was to analyze the distribution of the green spaces or urban open spaces (GS) suitable for PA, as well as the state offer of free sports activities in the city. We did an ecological study, analyzing and mapping data according to sources and official reports of CABA for 2015. We performed analyses by absolute number, area, population density and average value of the built squared meter for each district (comuna). In addition, we did a qualitative analysis according to satellite images of the city. The median of green space suitable for PA was 2.6 m2 / inhabitant (interquartile range 1.0 to 4.6). The smallest amount was in the central districts, more densely populated, as well as in most of the lower landvalue ones (one of these had a good amount of GS, but with a built environment that could limit the practice of PA). In contrast, regarding free sports activities, the lower the value of the land, the greater the state offer. These results must be analyzed along with environmental and safety conditions for an integral planning of the city. (AU)

Prompts to increase physical activity at points-of-choice between stairs and escalators: what about escalator climbers?

Since 1980, many studies have evaluated whether stair-use prompts increased physical activity by quantifying changes in stair use. To more completely evaluate changes in physical activity, this study addressed the often-overlooked assessment of climbing up escalators by evaluating the degree to which stair-use sign prompts increased active ascent-defined as stair use or escalator climbing. Over 5 months, at an airport stairs/escalator point of choice, we video-recorded passersby (N = 13,544) who ascended either stairs or escalators, on 10 days with signs and 10 days without signs. Ascenders using the stairs, standing on the escalator, and climbing the escalator were compared on days with versus without signs using multivariable logistic regression. The percentage of ascenders on days with versus without signs were as follows: stair use, 6.9 versus 3.6 percent; escalator standing, 75.2 versus 76.0 percent; and escalator climbing, 18.5 versus 20.4 percent. Signs more than doubled the odds of stair use (vs. escalator use; OR = 2.25; 95% CI = 1.90-2.68; p < .001). Signs decreased the odds of escalator climbing (vs. escalator standing or stair use); OR = 0.90; 95% CI = 0.82-0.99; p = .028). Signs increased the odds of active ascent versus escalator standing by 15 percent (OR = 1.15; 95% CI = 1.05-1.25; p = .002). Although stair-use prompts increased stair use more than twofold (125%), they increased active ascent by only 15 percent, partly because escalator climbing-a behavior not targeted by the intervention-decreased. Although our results corroborated the established consensus that point-of-choice prompts increase stair use, future studies should test interventions designed to increase active ascent.

Stress experiences in neighborhood and social environments (SENSE): a pilot study to integrate the quantified self with citizen science to improve the built environment and health.

BACKGROUND: Identifying elements of one's environment-observable and unobservable-that contribute to chronic stress including the perception of comfort and discomfort associated with different settings, presents many methodological and analytical challenges. However, it also presents an opportunity to engage the public in collecting and analyzing their own geospatial and biometric data to increase community member understanding of their local environments and activate potential environmental improvements. In this first-generation project, we developed a methodology to integrate geospatial technology with biometric sensing within a previously developed, evidence-based "citizen science" protocol, called "Our Voice." Participants used a smartphone/tablet-based application, called the Discovery Tool (DT), to collect photos and audio narratives about elements of the built environment that contributed to or detracted from their well-being. A wrist-worn sensor (Empatica E4) was used to collect time-stamped data, including 3-axis accelerometry, skin temperature, blood volume pressure, heart rate, heartbeat inter-beat interval, and electrodermal activity (EDA). Open-source R packages were employed to automatically organize, clean, geocode, and visualize the biometric data. RESULTS: In total, 14 adults (8 women, 6 men) were successfully recruited to participate in the investigation. Participants recorded 174 images and 124 audio files with the DT. Among captured images with a participant-determined positive or negative rating (n = 131), over half were positive (58.8%, n = 77). Within-participant positive/negative rating ratios were similar, with most participants rating 53.0% of their images as positive (SD 21.4%). Significant spatial clusters of positive and negative photos were identified using the Getis-Ord Gi* local statistic, and significant associations between participant EDA and distance to DT photos, and street and land use characteristics were also observed with linear mixed models. Interactive data maps allowed participants to (1) reflect on data collected during the neighborhood walk, (2) see how EDA levels changed over the course of the walk in relation to objective neighborhood features (using basemap and DT app photos), and (3) compare their data to other participants along the same route. CONCLUSIONS: Participants identified a variety of social and environmental features that contributed to or detracted from their well-being. This initial investigation sets the stage for further research combining qualitative and quantitative data capture and interpretation to identify objective and perceived elements of the built environment influence our embodied experience in different settings. It provides a systematic process for simultaneously collecting multiple kinds of data, and lays a foundation for future statistical and spatial analyses in addition to more in-depth interpretation of how these responses vary within and between individuals.