Abstract
Childhood and adolescence are crucial periods for mental and social development. Currently, mental illness among young people is a global epidemic, and rates of disorders such as depression and anxiety are rising. Urban living, compared with rural living, is linked with a higher risk of serious mental illness, which is important because the world is urbanizing faster than ever before. Urban environments and their landscapes, designs, and features influence mental health and well-being. However, no conceptual frameworks to date have detailed the effect of urban environments on young people’s mental health, and few studies have considered the growing role of digital and social media in this relationship, leading to calls for the development of holistic approaches to describe this relationship. This article synthesizes existing knowledge on urban places (both built and natural environments) and mental health in the public health and urban planning literature and examines the emerging field of neurourbanism (a multidisciplinary study of the effect of urban environments on mental health and brain activity) to enhance current practice and research. We developed 2 novel conceptual frameworks (1 research-oriented, 1 practice-oriented), adapted from Bronfenbrenner’s socioecological model, that focus on the relationship between urban environments and young people’s mental health. We added a digital and social media contextual level to the socioecological model, and we applied a multilayer concept to highlight potential cross-field interactions and collaborations. The proposed frameworks can help to guide future practice and research in this area.
Keywords: built environment, mental health, neurourbanism, planning, urban environment, youth
Childhood and adolescence (ie, generally aged <18 years) are critical periods in human growth and development. Mental illness among young people can arise as a consequence of the myriad physical, emotional, and social changes experienced during these years. 1 The prevalence of mental illness among young people is rising,2-5 and the onset of internalizing disorders in early life is among the leading causes of disability. 6
Living in urban areas is linked with an increased risk of serious mental illness. 7 Compared with people who live in rural areas, city dwellers have higher rates of schizophrenia,8-10 distress, posttraumatic stress disorder, and paranoia.11-13 With migration to cities predicted to increase in the coming decades, 14 understanding the influence of urban environments on mental health is important. 15 Urban influences on young people’s mental health are understudied because of a lack of funding16-18 and support19-21 for mental health research on this population. As a result, interdisciplinary research has called for comprehensive frameworks to clarify the relationship between mental health and the environment,4,22 including those that consider how urban environments influence the mental health of young people.22,23
Synthesis Aim, Theoretical Approach
This article synthesizes research on urban influences on young people’s mental health from 3 bodies of literature—public health, planning, and neurourbanism (a multidisciplinary study of the effect of urban environments on mental health and brain activity)—to develop 2 novel, comprehensive, interdisciplinary frameworks for research and action on the relationship between young people’s mental health and the urban environment. Our approach is grounded in Schulz and Northridge’s 24 socioecological conceptual framework of the social determinants of health and environmental health promotion to recognize the dynamic and multilevel relationship between the urban environment and young people’s mental health. Schulz and Northridge’s framework explicitly focuses on social and environmental mechanisms by which urban environments can produce inequities in mental health outcomes, thereby warranting a multifield approach. In our novel conceptual frameworks, therefore, we view the relationship between the urban environment and young people’s mental health as dynamic, socio-relational, and multilevel (individual, interpersonal, environmental, policy). We define and provide a summary of key features, approaches, and ideas associated with each field to provide the material bases for the frameworks (Table).
Table.
Criterion | Public health | Planning | Neurourbanism |
---|---|---|---|
Definition | “The science of protecting and improving the health of people and their communities . . . achieved by promoting healthy lifestyles, researching disease and injury prevention, and detecting, preventing, and responding to infectious diseases.” 25 | “Technical and political process concerned with the welfare of people, control of the use of land, design of the urban environment including transportation and communication networks, and protection and enhancement of the natural environment.” 26 | “An interdisciplinary . . . approach that connects public mental health to urban planning to create better environments that will improve the mental wellbeing of individuals and communities in cities, and strengthen the resilience of high-risk individuals and children.” 27 |
Key elements | • Determining the factors that influence health • Prevention through multiple means • Promotion of health behaviors and lifestyles |
• Guiding the layout and development of urban areas • Land use, urban design, and transportation decisions • Service provision, political process |
• Multimethod evaluations of urban mental health topics • Multidisciplinary collaborations • Identification of and research on high-risk populations |
Key topic-specific approaches and ideas | • Social epidemiology, ecosocial theory
28
• Mixed-methods, preventive policy positions • Targeted interventions, longitudinal study |
• Pedestrian- and transit-oriented design
29
• Relational theory, co-evolutionary approaches 30 • Social cohesion, mixed land use, health equity |
• Attention Restoration Theory
31
• Critical Neurogeography 32 • Ambulatory assessment, biosocial research methods |
Key public health methods and practices pertaining to this topic include ecosocial theory, the use of mixed methods, and targeted interventions. Importantly, ecosocial theory asserts that a combination of biological, sociological, economic, and psychological phenomena influence health. 28 In urban planning, pedestrian- and transit-oriented design outlines multiple features that may underlie the relationship: imageability (ie, quality of a place that makes it distinct 29 and can contribute to a sense of place), 33 enclosure (ie, the degree to which spaces are visually defined 29 ; the idea of hereness, 33 ie, one’s identity with one’s surroundings), linkage (ie, physical and visual connections that unify disparate elements), 29 and legibility (ie, ease with which the spatial structure of a place can be understood and navigated). 29 Key neurourbanistic features include attention restoration theory, which hypothesizes about the restorative health effects of environments, 31 and critical neurogeography, a biosocial framework that emphasizes a geographic focus during investigations of the brain in social milieus. 32
Public Health
Public health has been at the forefront in considering issues about health and the urban environment since the 19th century, as industrialization and urbanization, the spread of infectious illnesses, and urban health concerns prompted new perspectives on population health. 34 By modern definitions, the urban environment is an important determinant of young people’s mental health35-37; living in urban environments has been identified as an important risk factor in the development and onset of several mental health issues.38-40 Public health is critical to the identification of these health issues, prevention of ill health, and promotion of healthy behaviors through means such as education, research, and policy recommendations. 25 These roles are best understood by breaking down the urban environment into its built and natural features.
Built features of urban environments influence young people’s mental health. 41 For example, the presence of neighborhood facilities (eg, library, recreational center) can improve social competence, 42 whereas the spatial distribution of urban environment characteristics (eg, pedestrian route directness) can increase the risk of depressive symptoms. 43 Urban environments that create a dependency on motor vehicles can lead to negative emotions 44 and produce more worry and stress in child passengers (compared with people who actively travel), 45 while also creating high levels of traffic noise, which is linked to increased annoyance 46 and sleeping problems 47 among young people. In addition, such noisy environments can reduce social cohesion and the restorative quality of neighborhoods, which also increase young people’s mental health issues 48 and are linked to symptoms such as depression, anxiety, 49 and impaired cognitive function. 50 Conversely, urban designs that promote opportunities for active transportation and exercise can support young people’s mental health.51,52 For example, street connectivity, 53 narrow street width, 54 environment aesthetics (eg, street greenery, tree shading), 55 playground features, 56 pedestrian crossovers, traffic lights, intersection densities, 57 and sidewalk presence 58 can all encourage physical activity among young people.
Natural features are also important determinants of young people’s mental health.59,60 Blue spaces (ie, waterscapes) can help adolescents to manage their emotions and distress, 61 provide opportunities for increased social interaction, 62 and improve restoration and relaxation. 63 Likewise, green spaces such as parks can reduce stress, 64 and gardens/gardening can lower levels of depressive symptoms and enhance emotional well-being. 65 Young people’s engagement with natural environments has been positively linked with cognitive development 66 and reductions in symptoms of attention deficit hyperactivity disorder.67,68 In the long term, childhood exposure to nature has been correlated with improved mental health later in life.69,70 Prevention of ill health can also be supported by spaces with dense tree cover, which can lower air pollution and improve mental health 48 and overall quality of life, 71 whereas areas with high levels of greenness are associated with reduced depressive symptoms 72 and internal and external behavioral issues (eg, conduct problems, anxiety). 73
An important and emerging public health research opportunity is to consider the role and influence of technology and social media in offering new ways to capture how physical and natural environment pathways may support (or diminish) young people’s mental health. These ubiquitous media platforms and devices affect adolescents’ health uniquely (given their propensity for use) and can be leveraged to understand social networks, their values, and effects on health with improved temporal precision. 74 To date, social media data have been used to highlight important phenomena such as analyzing park accessibility via visitation trends 75 ; determine which aspects of parks and green spaces improve use 76 ; map the objective characteristics of place with respect to happiness 77 ; and identify which public plazas are most preferred, used, and liveable. 78 Beyond social media and digital media (eg, websites, online surveys), more research is needed on how perceptions of green space quality, usability, and safety affect young people’s mental health. 73 Future public health research should incorporate more longitudinal designs79-81 and reproducible yet theoretically motivated measures rather than self-reports. 82
Planning
Modern city planning emerged in the late 19th century with the aim to address the unsanitary conditions of growing industrial cities. 83 As a field distinct from public health, contemporary planning is primarily concerned with guiding urban development (Table); informing decisions about transportation, urban design, and land use; and providing services. 26 Planning functions (ie, duties, roles) can complement public health goals when they recognize the influence of sociocultural forces, 84 economic development,85,86 and housing 87 in several domains of urban health. Evolving understandings of health in planning have elevated notions of place identity, social constructions of place, 88 the spatial nature of place, and how spatial variations contribute to health inequalities,83,89 with implications for the planning field in addressing young people’s mental health.
Planning processes can affect mental health 90 because several social determinants of health are intertwined with planning governance and its processes. 91 Decisions about land use are particularly important because they affect health via design, density, diversity, and destination accessibility. 92 For example, providing access to green space can facilitate the development of social ties, 93 improved street-network accessibility can lower psychological distress, 94 and high levels of greenery (eg, trees) can mitigate noise annoyance. 52 Mixed land use can enhance ease of access to services and facilities when compared with single land use zoning schemes, 95 as well as encourage exercise. 94 Neighborhood design also affects mental health: areas that include soft edge (eg, front garden) spaces 96 enable both movement and lingering, which promote social interaction, 97 enhance a sense of community, 98 and improve quality of life. 99 Building designs that feature façades with windows and doors facing pathways provide surveillance through “eyes on the street” (ie, continued monitoring) and can contribute to a sense of safety. 100
Importantly, though, the effects of planning processes on young people’s mental health are not equally distributed. For example, green infrastructure can improve mental health by reducing heat stress and air pollution and providing opportunities for exercise101-103; however, young people experience their local infrastructure differently than adults because of limited independent mobility and parental controls.104,105 Planning processes that seek to increase young people’s use of green infrastructure and improve their mental health can address inequities by ensuring that young people have equal opportunities to access these health-promoting resources. 106 Planning for young people’s mental health therefore requires addressing environmental justice and equity (ie, accessibility/usability) in local political processes. 107 Health equity or environmentally just planning processes have the potential to affect young people’s mental health and prevent problems during adulthood 108 by proactively addressing potential etiologies, mitigating identified risks, and enabling behavior changes via policy implementation and resulting opportunity structures.
Better orienting planning to improve young people’s mental health requires an appropriate foundation. Much research promotes physically deterministic approaches that are rooted in the notion that changes to physical landscapes will result in desired social and behavioral changes.109,110 These approaches, however, fail to consider the diverse social and environmental exposures that exist in urban areas and can contribute to (unequal) health effects. 111 Consequently, interdisciplinary and socially conscious viewpoints have been advocated by researchers. 112 Corburn, 113 for example, articulates a relational view of urban places and health equity that suggests places are doubly constructed—physically (ie, urban environment) and socially (ie, assigned meanings and construction of networks, institutions, and processes that shape such meaning)—and composed of complex relations among the physical features, social forces, and processes of meaning-making (ie, how one construes or understands spaces). Thus, no one fixed set of characteristics and meanings define a healthy place or an unhealthy place. 114 Verbeek and Boelens 30 furthered this work by suggesting co-evolving approaches that center on developing solutions to issues via local population participation and expertise. Physically deterministic approaches also fail to recognize the growing influence and roles of social and digital media. In recent years, public sectors have turned to social media and online platforms to expand health information and support, 115 as well as improve participation, coproduction, and evaluations. 116 Adopting these approaches and data sources holds great potential to track the use of urban spaces and mobility flows and reorient city services for local needs. 74
Neurourbanism
The emergence of new fields offers novel methodological approaches for investigation. One relevant approach is neurourbanism,27,117 which is a multidisciplinary field focused on understanding the effects of urban living and environments on neurological processes and enhancing the collaboration among neuroscience, public health, and planning, among other fields, to create healthier environments. 27 Broadly, the field of neurourbanism, which currently exists mostly as a research-oriented endeavor absent an official-affiliated practice component, promotes large-scale collaborations as a means to design more just and humane cities, which improve health outcomes and equity for increasingly diverse populations.117,118 Growing evidence highlights the potential of this field and its strategies and methods for professional practice and health research.119-122 The increasing affordability of wearable sensing technologies that measure physiological parameters such as heart rate, electrodermal activity, and skin temperature has helped to propel the field. 123 These portable technologies have been used to investigate well-being, emotions, and stress levels across places,124-131 whereas laboratory-based technologies such as functional magnetic resonance imaging have been used to assess brain responses to various landscape visuals.132,133
Neurourbanistic approaches have much to offer public health and planning. Compared with traditional methods (eg, surveys), wearable psychophysiological technologies allow for more detailed captures of cognitive and emotional outcomes through measuring physiological parameters 134 such as skin temperature and conductance or heart rate variability. 135 These measures may improve prevention efforts and policy by facilitating more robust investigations into mechanisms by which various characteristics of the urban environment affect frustration 129 and, more precisely, examine the positive psychological effects of natural environment spaces. 136 Methodologically, the incorporation of biosensors can complement qualitative research by transforming qualitative reports of perceptions into quantitative measures of emotions. 137 Neuroscientific study could allow researchers to precisely understand and identify which features of urban environments have the greatest cognitive and emotional effects on young people. 138 Such insights may also help researchers draw closer to revealing the etiology and mechanisms of psychopathology across the lifespan 139 and inform medical and health practitioners on what types of locations might maximize the mental health benefits of exercise. 140 Regarding the study of urban design, these approaches could be used to more precisely and better measure how young people experience urban environments, both positively and negatively. 141
Proposed Frameworks
We synthesized public health and planning literature on the relationship between urban environments and young people’s mental health and highlighted the methodological potential of neurourbanist approaches. Using Schulz and Northridge’s 24 multidisciplinary conceptual framework, we identified central concepts, designs, practices, processes, strategies, tools, and values relevant to this relationship from planning, public health, and neurourbanism. With this background, we designed 2 frameworks that amalgamate the previously discussed fields. We elected to follow this integrative approach to framework development because individual paradigms can be particularly adept at identifying particular concepts but are generally more limited with respect to articulating comprehensive multifactorial phenomena.32,142
Given the desire for holistic and multidisciplinary approaches to urban health issues,143,144 we offer 2 novel frameworks: 1 for practitioners (Figure 1) and 1 for researchers (Figure 2) to guide future practice and study on the relationship between urban environments and young people’s mental health. The frameworks expand on Bronfenbrenner’s 145 socioecological model, which highlights how interactions between various systems (eg, group interaction, institutions) shape and affect health outcomes, from the microsystem of the individual through multiple mesosystems (interpersonal, environments) to the macrosystem of society. 145 In particular, our frameworks add new interactive and collaborative areas of inquiry or importance and adapt the socioecological model to 4 central tenets of our syntheses: (1) a holistic account of individual and interpersonal characteristics to incorporate a wider array of cognitive capacities and social factors; (2) relational 113 and coevolutionary 30 approaches to advise researchers and practitioners to investigate assigned meanings of, and relevant social forces influencing, person–place interactions; (3) the inclusion of participatory methods, as they can lead to more healthy, just, and egalitarian communities 146 ; and (4) the integration of young people’s perspectives because they can make essential contributions to the design and implementation of programs and policies 147 and elucidate missing perspectives in existing models. 148
We added the new interactive level/zone, digital and social media contexts, to the socioecological model to recognize the pervasiveness of these new settings, namely the influence of related technologies (eg, smartphones, social media) in transforming and facilitating human behavior, communication, and interaction. Mounting evidence suggests that such technologies can both positively and detrimentally affect mental health; extend the capabilities, quality, and reach of health services 149 ; and produce a surfeit of social media, big data, and other digitally derived data that are of interest to human behavior researchers. 74 Recognizing a new distinct digital context can add to the breadth and depth of understanding of this relationship by further illuminating mobility flows and the uses and perceptions of urban spaces, 74 providing revealed rather than stated preference data, 150 and allowing comparisons of emotional and attitudinal responses to social phenomena via sentiment analyses.151,152
Frameworks: Theory to Application
Both frameworks highlight the unique roles and opportunities of each field (unshaded area) and suggest potential collaboration areas with other fields (gray shaded areas) (Figures 1 and 2). Arrows between concepts illustrate potential interactions that the collaborations could explore. The frameworks also illustrate the overlapping roles and opportunities in each field with dashed lines to indicate the fluidity and multilevel nature of concepts, ideas, and points, and that policy positions (practice) and study topics (research) can be complementary endeavors. When interpreting the frameworks, we acknowledge that neurourbanism is not an extant professional practice; rather, it is an emerging interdisciplinary research area. As such, we use this space in the frameworks to suggest ideas and concepts where other relevant fields (eg, neuroscience, psychology) can collaborate and advance knowledge or improve practice. Lastly, although the discussion focuses on collaboration opportunities among the various fields, we note that total neurourbanism–planning–public health collaborations featuring concepts from the 2 frameworks are also encouraged.
Planning practitioners may use this framework to support the mental health of young people in urban areas via strategies such as using digital technologies to track space usage patterns and mobility flows and reorient city services 74 for their needs; addressing housing tenure issues 87 potentially via amendments to municipal codes; and designing areas with greater levels of enclosure to foster social cohesion and/or mitigate social fragmentation. 153 Public health practice may develop and disseminate outdoor learning materials to improve psychological resilience 154 or promote “free-range” initiatives (ie, initiatives that encourage unstructured or child-initiated activity) that support the development of more environmentally conscious adults. 155 Campaigns to educate families about the mental health benefits of free-range play in communal spaces (eg, develop competence, emotion regulation, enhance confidence, promote resiliency) 156 and the promotion of policy positions to reduce noise pollution46,47 would also be advised to ameliorate young people’s mental health. Related fields (as illustrated in the neurourbanism portion) could advocate for complete streets policies, which support designing roadways and transit networks to safely accommodate all users and their needs, 157 or explore the use of virtual reality technologies in practices or therapies to address urban mental health phenomena such as acrophobia. 158
With respect to collaborative practices, planning–public health partnerships may seek to develop and promote policy that addresses neighborhoods with higher levels of social deprivation, 159 aim to improve neighborhood social cohesion, 160 or support multimodal transit networks to increase opportunities for activity. Planning–neurourbanist collaborations could promote environmentally just planning for young people by proposing and developing space-specific legislation to lessen cognitive loads (eg, bio-housing, which uses organic materials 132 ), building partnerships dedicated to mutual learning on planning and neuroscience topics (eg, building and place affects [eg, stress, calm]), or using social media and other geolocated data to localize urban areas that have a higher incidence of depression 161 and provide support via Vision Zero commitments (ie, multidisciplinary campaigns that promote safe transport and physical activity). 157 Public health-neurourbanist collaborations can also engage in a variety promotion-based endeavors including developing youth advisory groups, encouraging regular interaction with restorative environments, and designing active transportation education materials.
In research, planning scholars could explore the perceived exposure effects of routinely traveled routes (eg, trips to and from school) or frequented spaces (eg, parks) via “go-along” interviews (ie, interviews conducted while walking through an environment related to the topic under study), 162 or place accessibility and meanings through PhotoVoice methods. 163 Public health inquiry may pursue future research with the use of detailed ethnographic methods to examine urban-derived mental illness among young people, as a recent study has advocated using such methods to investigate the mechanisms that underlie urban living and mental disorders, and to better understand the lived experiences of affected people and groups. 142 Ambulatory assessments (ie, study of people in their natural environments), which feature ecological momentary assessments that strategically and repeatedly capture people’s emotional, mental, mood, or physiological states on mobile devices, 164 could be used to examine preferred activity locations or engagement patterns. Neurourbanistic study, using neuroscientific methods and physiological sensors that objectively quantify the effects of urban spaces, can expand knowledge on place and building affect 129 and could investigate various relationships: the nature of various exposures across settings (eg, alleys, intersections) or psychotic disorder development. 40
Planning–neurourbanist research collaborations could examine the enhanced cognitive load of urban environments on the brain 165 ; determine if and how distinct urban environments’ designs, such as linkage, legibility, enclosure, and imageability, 166 are perceived by and affect the mental health outcomes of young people; conduct sentiment analyses of younger populations’ responses to changes in urban form; or engage young people in virtual reality environments to gather feedback on different designs. 167 Neurourbanist–public health research collaborations could further investigate strategies to mitigate risks for vulnerable groups by researching biophysical and neurological responses to urban features, including temperature ranges, noise levels, and odors, 168 or to particular settings (eg, transportation corridors, 169 foliage 170 ). Prevention-based research could seek to implement online programs to support mental health 171 or digital health promotion initiatives for young people in areas at high risk for adverse mental health experiences (eg, adolescent girls in urban slums 172 ). Finally, public health–planning collaborations could use geolocated and social media data to study how young people make decisions in space that may affect relevant behavior (eg, physical activity) 74 or to examine the effects of distinct soundscapes (eg, plazas, outdoor malls) and infrastructures (eg, green infrastructure), or conduct qualitative document analyses that link local zoning policies with active transport goals.
Conclusion
Synthesizing literature from public health, planning, and neurourbanism, we proposed 2 novel frameworks to inform practitioners and researchers on the relationship between the urban environment and young people’s mental health. The frameworks may be used to enhance practices at multiple social and ecological levels. Cross-field collaborations are encouraged to improve behavioral change research and interventions and develop nuanced policy recommendations.
Footnotes
Declaration of Conflicting Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The authors received no financial support for the research, authorship, and/or publication of this article.
ORCID iD: Adrian Buttazzoni, MSc https://orcid.org/0000-0002-1508-5946
References
- 1. World Health Organization. Adolescent mental health. 2018. Accessed March 28, 2019. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health
- 2. Collishaw S. Annual research review: secular trends in child and adolescent mental health. J Child Psychol Psychiatry. 2015;56(3):370-393. doi: 10.1111/jcpp.12372 [DOI] [PubMed] [Google Scholar]
- 3. Glied S, Cuellar AE. Trends and issues in child and adolescent mental health. Health Aff (Millwood). 2003;22(5):39-50. doi: 10.1377/hlthaff.22.5.39 [DOI] [PubMed] [Google Scholar]
- 4. Gunnell D, Kidger J, Elvidge H. Adolescent mental health in crisis. BMJ. 2018;361:k2608. doi: 10.1136/bmj.k2608 [DOI] [PubMed] [Google Scholar]
- 5. Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual research review: a meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry. 2015;56(3):345-365. doi: 10.1111/jcpp.12381 [DOI] [PubMed] [Google Scholar]
- 6. Kapungu C, Petroni S, Allen NB, et al. Gendered influences on adolescent mental health in low-income and middle-income countries: recommendations from an expert convening. Lancet Child Adolesc Health. 2018;2(2):85-86. doi: 10.1016/S2352-4642(17)30152-9 [DOI] [PubMed] [Google Scholar]
- 7. Gruebner O, Rapp MA, Adli M, Kluge U, Galea S, Heinz A. Cities and mental health. Dtsch Arztebl Int. 2017;114(8):121-127. doi: 10.3238/arztebl.2017.0121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Pedersen CB, Mortensen PB. Evidence of a dose–response relationship between urbanicity during upbringing and schizophrenia risk. Arch Gen Psychiatry. 2001;58(11):1039-1046. doi: 10.1001/archpsyc.58.11.1039 [DOI] [PubMed] [Google Scholar]
- 9. Frick U, Frick H, Langguth B, Landgrebe M, Hübner-Liebermann B, Hajak G. The revolving door phenomenon revisited: time to readmission in 17’145 [corrected] patients with 37’697 hospitalisations at a German psychiatric hospital. PLoS One. 2013;8(10):e75612. doi: 10.1371/journal.pone.0075612 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Jacobi F, Höfler M, Siegert J, et al. Twelve-month prevalence, comorbidity and correlates of mental disorders in Germany: the Mental Health Module of the German Health Interview and Examination Survey for Adults (DEGS1-MH). Int J Methods Psychiatr Res. 2014;23(3):304-319. doi: 10.1002/mpr.1439 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Phillips MR, Zhang J, Shi Q, et al. Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey. Lancet. 2009;373(9680):2041-2053. doi: 10.1016/S0140-6736(09)60660-7 [DOI] [PubMed] [Google Scholar]
- 12. Silove D, Ivancic L, Rees S, Bateman-Steel C, Steel Z. Clustering of symptoms of mental disorder in the medium-term following conflict: an epidemiological study in Timor-Leste. Psychiatry Res. 2014;219(2):341-346. doi: 10.1016/j.psychres.2014.05.043 [DOI] [PubMed] [Google Scholar]
- 13. Prina AM, Ferri CP, Guerra M, Brayne C, Prince M. Prevalence of anxiety and its correlates among older adults in Latin America, India and China: cross-cultural study. Br J Psychiatry. 2011;199(6):485-491. doi: 10.1192/bjp.bp.110.083915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. United Nations Department of Economic and Social Affairs Population Division. World urbanization prospects 2018. 2018. Accessed October 8, 2019. https://population.un.org/wup
- 15. Okkels N, Kristiansen CB, Munk-Jørgensen P, Sartorius N. Urban mental health: challenges and perspectives. Curr Opin Psychiatry. 2018;31(3):258-264. doi: 10.1097/YCO.0000000000000413 [DOI] [PubMed] [Google Scholar]
- 16. Hoagwood KE, Atkins M, Kelleher K, et al. Trends in children’s mental health services research funding by the National Institute of Mental Health from 2005 to 2015: a 42% reduction. J Am Acad Child Adolesc Psychiatry. 2018;57(1):10-13. doi: 10.1016/j.jaac.2017.09.433 [DOI] [PubMed] [Google Scholar]
- 17. Lu C, Li Z, Patel V. Global child and adolescent mental health: the orphan of development assistance for health. PLoS Med. 2018;15(3):e1002524. doi: 10.1371/journal.pmed.1002524 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Bundy DAP, de Silva N, Horton S, et al. Investment in child and adolescent health and development: key messages from Disease Control Priorities, 3rd edition. Lancet. 2018;391(10121):687-699. doi: 10.1016/S0140-6736(17)32417-0 [DOI] [PubMed] [Google Scholar]
- 19. Dubicka B, Bullock T. Mental health services for children fail to meet soaring demand. BMJ. 2017;358:j4254. doi: 10.1136/bmj.j4254 [DOI] [PubMed] [Google Scholar]
- 20. MQ. How much is spent on mental health research in the UK? 2019. Accessed October 20, 2019. https://www.mqmentalhealth.org/articles/research-funding-landscape
- 21. Signorini G, Singh SP, Marsanic VB, et al. The interface between child/adolescent and adult mental health services: results from a European 28-country survey. Eur Child Adolesc Psychiatry. 2018;27(4):501-511. doi: 10.1007/s00787-018-1112-5 [DOI] [PubMed] [Google Scholar]
- 22. Suglia SF. Children and adolescents in cities. In: Galea S, Ettman CK, Vlahov D. eds. Urban Health. Oxford University Press; 2019:70-75. [Google Scholar]
- 23. Ruiz M, Chaix B. Emerging opportunities for life course research on neighbourhoods and mental health. J Epidemiol Community Health. 2019;73(8):689-690. doi: 10.1136/jech-2019-212419 [DOI] [PubMed] [Google Scholar]
- 24. Schulz A, Northridge ME. Social determinants of health: implications for environmental health promotion. Health Educ Behav. 2004;31(4):455-471. doi: 10.1177/1090198104265598 [DOI] [PubMed] [Google Scholar]
- 25. Centers for Disease Control and Prevention. What is public health? 2020. Accessed April 5, 2020. https://www.cdcfoundation.org/what-public-health
- 26. McGill University School of Urban Planning. About urban planning. 2020. Accessed April 5, 2020. https://mcgill.ca/urbanplanning/planning
- 27. Adli M, Berger M, Brakemeier E-L, et al. Neurourbanism: towards a new discipline. Lancet Psychiatry. 2017;4(3):183-185. doi: 10.1016/S2215-0366(16)30371-6 [DOI] [PubMed] [Google Scholar]
- 28. Krieger N. Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol. 2001;30(4):668-677. doi: 10.1093/ije/30.4.668 [DOI] [PubMed] [Google Scholar]
- 29. Price G. Eight qualities of pedestrian- and transit-oriented design. March 12, 2013. Accessed October 21, 2020. https://pricetags.ca/2013/03/12/eight-qualities-of-pedestrian-and-transit-oriented-design
- 30. Verbeek T, Boelens L. Environmental health in the complex city: a co-evolutionary approach. J Environ Plann Manag. 2016;59(11):1913-1932. doi: 10.1080/09640568.2015.1127800 [DOI] [Google Scholar]
- 31. Kaplan S. The restorative benefits of nature: toward an integrative framework. J Environ Psychol. 1995;15(3):169-182. doi: 10.1016/0272-4944(95)90001-2 [DOI] [Google Scholar]
- 32. Pykett J, Osborne T, Resch B. From urban stress to neurourbanism: how should we research city well-being? Ann Am Assoc Geogr. 2020;110(6):1936-1951. doi: 10.1080/24694452.2020.1736982 [DOI] [Google Scholar]
- 33. Cullen G. The Concise Townscape. Architectural Press; 1995. [Google Scholar]
- 34. Rosen G. A History of Public Health. Johns Hopkins University Press; 2015. [Google Scholar]
- 35. Haddad L, Schäfer A, Streit F, et al. Brain structure correlates of urban upbringing, an environmental risk factor for schizophrenia. Schizophr Bull. 2015;41(1):115-122. doi: 10.1093/schbul/sbu072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Clark C, Myron R, Stansfeld S, Candy B. A systematic review of the evidence on the effect of the built and physical environment on mental health. J Public Ment Health. 2007;6(2):14-27. doi: 10.1108/17465729200700011 [DOI] [Google Scholar]
- 37. McCracken DS, Allen DA, Gow AJ. Associations between urban greenspace and health-related quality of life in children. Prev Med Rep. 2016;3:211-221. doi: 10.1016/j.pmedr.2016.01.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Toulopoulou T, Picchioni M, Mortensen PB, Petersen L. Iq, the urban environment, and their impact on future schizophrenia risk in men. Schizophr Bull. 2017;43(5):1056-1063. doi: 10.1093/schbul/sbw147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Reed JL, D’Ambrosio E, Marenco S, et al. Interaction of childhood urbanicity and variation in dopamine genes alters adult prefrontal function as measured by functional magnetic resonance imaging (fMRI). PLoS One. 2018;13(4):e0195189. doi: 10.1371/journal.pone.0195189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Frissen A, van Os J, Peeters S, Gronenschild E, Marcelis M. For genetic risk and outcome in psychosis (G.R.O.U.P.). Evidence that reduced gray matter volume in psychotic disorder is associated with exposure to environmental risk factors. Psychiatry Res Neuroimaging. 2018;271:100-110. doi: 10.1016/j.pscychresns.2017.11.004 [DOI] [PubMed] [Google Scholar]
- 41. Nordbø ECA, Nordh H, Raanaas RK, Aamodt G. GIS-derived measures of the built environment determinants of mental health and activity participation in childhood and adolescence: a systematic review. Landsc Urban Plan. 2018;177:19-37. doi: 10.1016/j.landurbplan.2018.04.009 [DOI] [Google Scholar]
- 42. Christian H, Zubrick SR, Foster S, et al. The influence of the neighborhood physical environment on early child health and development: a review and call for research. Health Place. 2015;33:25-36. doi: 10.1016/j.healthplace.2015.01.005 [DOI] [PubMed] [Google Scholar]
- 43. Duncan DT, Piras G, Dunn EC, Johnson RM, Melly SJ, Molnar BE. The built environment and depressive symptoms among urban youth: a spatial regression study. Spat Spatiotemporal Epidemiol. 2013;5:11-25. doi: 10.1016/j.sste.2013.03.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Ramanathan S, O’Brien C, Faulkner G, Stone M. Happiness in motion: emotions, well-being, and active school travel. J Sch Health. 2014;84(8):516-523. doi: 10.1111/josh.12172 [DOI] [PubMed] [Google Scholar]
- 45. Westman J, Olsson LE, Gärling T, Friman M. Children’s travel to school: satisfaction, current mood, and cognitive performance. Transportation. 2017;44(6):1365-1382. doi: 10.1007/s11116-016-9705-7 [DOI] [Google Scholar]
- 46. Babisch W, Schulz C, Seiwert M, Conrad A. Noise annoyance as reported by 8- to 14-year-old children. Environ Behav. 2012;44(1):68-86. doi: 10.1177/0013916510387400 [DOI] [Google Scholar]
- 47. Tiesler CMT, Birk M, Thiering E, et al. Exposure to road traffic noise and children’s behavioural problems and sleep disturbance: results from the GINIplus and LISAplus studies. Environ Res. 2013;123:1-8. doi: 10.1016/j.envres.2013.01.009 [DOI] [PubMed] [Google Scholar]
- 48. Dzhambov A, Hartig T, Markevych I, Tilov B, Dimitrova D. Urban residential greenspace and mental health in youth: different approaches to testing multiple pathways yield different conclusions. Environ Res. 2018;160:47-59. doi: 10.1016/j.envres.2017.09.015 [DOI] [PubMed] [Google Scholar]
- 49. Stansfeld SA, Haines MM, Burr M, Berry B, Lercher P. A review of environmental noise and mental health. Noise Health. 2000;2(8):1-8. [PubMed] [Google Scholar]
- 50. Haines MM, Stansfeld SA, Job RF, Berglund B, Head J. Chronic aircraft noise exposure, stress responses, mental health and cognitive performance in school children. Psychol Med. 2001;31(2):265-277. doi: 10.1017/S0033291701003282 [DOI] [PubMed] [Google Scholar]
- 51. Ahn S, Fedewa AL. A meta-analysis of the relationship between children’s physical activity and mental health. J Pediatr Psychol. 2011;36(4):385-397. doi: 10.1093/jpepsy/jsq107 [DOI] [PubMed] [Google Scholar]
- 52. Li Y, Carter WM, Robinson LE. Social environmental disparities on children’s psychosocial stress, physical activity and weight status in Eastern Alabama counties. Appl Geogr. 2016;76:106-114. doi: 10.1016/j.apgeog.2016.09.011 [DOI] [Google Scholar]
- 53. Giles-Corti B, Wood G, Pikora T, et al. School site and the potential to walk to school: the impact of street connectivity and traffic exposure in school neighborhoods. Health Place. 2011;17(2):545-550. doi: 10.1016/j.healthplace.2010.12.011 [DOI] [PubMed] [Google Scholar]
- 54. Nasar JL, Holloman C, Abdulkarim D. Street characteristics to encourage children to walk. Transport Res Part A: Policy Pract. 2015;72:62-70. doi: 10.1016/j.tra.2014.12.004 [DOI] [Google Scholar]
- 55. Sun G, Han X, Sun S, Oreskovic N. Living in school catchment neighborhoods: perceived built environments and active commuting behaviors of children in China. J Transp Health. 2018;8:251-261. doi: 10.1016/j.jth.2017.12.009 [DOI] [Google Scholar]
- 56. Pagels P, Raustorp A, De Leon AP, Mårtensson F, Kylin M, Boldemann C. A repeated measurement study investigating the impact of school outdoor environment upon physical activity across ages and seasons in Swedish second, fifth and eighth graders. BMC Public Health. 2014;14:803. doi: 10.1186/1471-2458-14-803 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Rothman L, To T, Buliung R, Macarthur C, Howard A. Influence of social and built environment features on children walking to school: an observational study. Prev Med. 2014;60:10-15. doi: 10.1016/j.ypmed.2013.12.005 [DOI] [PubMed] [Google Scholar]
- 58. Rothman L, Macpherson AK, Ross T, Buliung RN. The decline in active school transportation (AST): a systematic review of the factors related to AST and changes in school transport over time in North America. Prev Med. 2018;111:314-322. doi: 10.1016/j.ypmed.2017.11.018 [DOI] [PubMed] [Google Scholar]
- 59. Tillmann S, Tobin D, Avison W, Gilliland J. Mental health benefits of interactions with nature in children and teenagers: a systematic review. J Epidemiol Community Health. 2018;72(10):958-966. doi: 10.1136/jech-2018-210436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Chawla L. Benefits of nature contact for children. J Plan Lit. 2015;30(4):433-452. doi: 10.1177/0885412215595441 [DOI] [Google Scholar]
- 61. Djohari N, Brown A, Stolk P. The comfort of the river: understanding the affective geographies of angling waterscapes in young people’s coping practices. Child Geogr. 2018;16(4):356-367. doi: 10.1080/14733285.2017.1341971 [DOI] [Google Scholar]
- 62. Ashbullby KJ, Pahl S, Webley P, White MP. The beach as a setting for families’ health promotion: a qualitative study with parents and children living in coastal regions in Southwest England. Health Place. 2013;23:138-147. doi: 10.1016/j.healthplace.2013.06.005 [DOI] [PubMed] [Google Scholar]
- 63. Roe JJ, Aspinall PA. Adolescents’ daily activities and the restorative niches that support them. Int J Environ Res Public Health. 2012;9(9):3227-3244. doi: 10.3390/ijerph9093227 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Feda DM, Seelbinder A, Baek S, Raja S, Yin L, Roemmich JN. Neighbourhood parks and reduction in stress among adolescents: results from Buffalo, New York. Indoor Built Environ. 2015;24(5):631-639. doi: 10.1177/1420326X14535791 [DOI] [Google Scholar]
- 65. van Lier LE, Utter J, Denny S, Lucassen M, Dyson B, Clark T. Home gardening and the health and well-being of adolescents. Health Promot Pract. 2017;18(1):34-43. doi: 10.1177/1524839916673606 [DOI] [PubMed] [Google Scholar]
- 66. Dadvand P, Nieuwenhuijsen MJ, Esnaola M, et al. Green spaces and cognitive development in primary schoolchildren. Proc Natl Acad Sci U S A. 2015;112(26):7937-7942. doi: 10.1073/pnas.1503402112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Amoly E, Dadvand P, Forns J, et al. Green and blue spaces and behavioral development in Barcelona schoolchildren: the BREATHE project. Environ Health Perspect. 2014;122(12):1351-1358. doi: 10.1289/ehp.1408215 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Markevych I, Tiesler CMT, Fuertes E, et al. Access to urban green spaces and behavioural problems in children: results from the GINIplus and LISAplus studies. Environ Int. 2014;71:29-35. doi: 10.1016/j.envint.2014.06.002 [DOI] [PubMed] [Google Scholar]
- 69. Engemann K, Pedersen CB, Arge L, Tsirogiannis C, Mortensen PB, Svenning J-C. Residential green space in childhood is associated with lower risk of psychiatric disorders from adolescence into adulthood. Proc Natl Acad Sci U S A. 2019;116(11):5188-5193. doi: 10.1073/pnas.1807504116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Dibben C, Playford C, Mitchell R. Be(ing) prepared: Guide and Scout participation, childhood social position and mental health at age 50—a prospective birth cohort study. J Epidemiol Community Health. 2017;71(3):275-281. doi: 10.1136/jech-2016-207898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Kim J-H, Lee C, Sohn W. Urban natural environments, obesity, and health-related quality of life among Hispanic children living in inner-city neighborhoods. Int J Environ Res Public Health. 2016;13(1):121. doi: 10.3390/ijerph13010121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Mavoa S, Lucassen M, Denny S, Utter J, Clark T, Smith M. Natural neighbourhood environments and the emotional health of urban New Zealand adolescents. Landsc Urban Plan. 2019;191:103638. doi: 10.1016/j.landurbplan.2019.103638 [DOI] [Google Scholar]
- 73. Madzia J, Ryan P, Yolton K, et al. Residential greenspace association with childhood behavioral outcomes. J Pediatr. 2019;207:233-240. doi: 10.1016/j.jpeds.2018.10.061 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Ilieva RT, McPhearson T. Social-media data for urban sustainability. Nat Sustain. 2018;1(10):553-565. doi: 10.1038/s41893-018-0153-6 [DOI] [Google Scholar]
- 75. Hamstead ZA, Fisher D, Ilieva RT, Wood SA, McPhearson T, Kremer P. Geolocated social media as a rapid indicator of park visitation and equitable park access. Comput Environ Urban Syst. 2018;72:38-50. doi: 10.1016/j.compenvurbsys.2018.01.007 [DOI] [Google Scholar]
- 76. Donahue ML, Keeler BL, Wood SA, Fisher DM, Hamstead ZA, McPhearson T. Using social media to understand drivers of urban park visitation in the Twin Cities, MN. Landsc Urban Plan. 2018;175:1-10. doi: 10.1016/j.landurbplan.2018.02.006 [DOI] [Google Scholar]
- 77. Mitchell L, Frank MR, Harris KD, Dodds PS, Danforth CM. The geography of happiness: connecting Twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One. 2013;8(5):e64417. doi: 10.1371/journal.pone.0064417 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Martí P, Serrano-Estrada L, Nolasco-Cirugeda A. Using locative social media and urban cartographies to identify and locate successful urban plazas. Cities. 2017;64:66-78. doi: 10.1016/j.cities.2017.02.007 [DOI] [Google Scholar]
- 79. Markevych I, Schoierer J, Hartig T, et al. Exploring pathways linking greenspace to health: theoretical and methodological guidance. Environ Res. 2017;158:301-317. doi: 10.1016/j.envres.2017.06.028 [DOI] [PubMed] [Google Scholar]
- 80. Lovasi GS, Mooney SJ, Muennig P, DiMaggio C. Cause and context: place-based approaches to investigate how environments affect mental health. Soc Psychiatry Psychiatr Epidemiol. 2016;51(12):1571-1579. doi: 10.1007/s00127-016-1300-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Gascon M, Triguero-Mas M, Martínez D, et al. Mental health benefits of long-term exposure to residential green and blue spaces: a systematic review. Int J Environ Res Public Health. 2015;12(4):4354-4379. doi: 10.3390/ijerph120404354 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Alderton A, Villanueva K, O’Connor M, Boulangé C, Badland H. Reducing inequities in early childhood mental health: how might the neighborhood built environment help close the gap? A systematic search and critical review. Int J Environ Res Public Health. 2019;16(9):1516. doi: 10.3390/ijerph16091516 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Barton H. Land use planning and health and well-being. Land Use Policy. 2009;26(suppl 1):S115-S123. doi: 10.1016/j.landusepol.2009.09.008 [DOI] [Google Scholar]
- 84. Healey P. Urban Complexity and Spatial Strategies: Towards a Relational Planning for Our Times. Routledge; 2007. [Google Scholar]
- 85. Corburn J, Curl S, Arredondo G, Malagon J. Health in all urban policy: city services through the prism of health. J Urban Health. 2014;91(4):623-636. doi: 10.1007/s11524-014-9886-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Corburn J. City planning as preventive medicine. Prev Med. 2015;77:48-51. doi: 10.1016/j.ypmed.2015.04.022 [DOI] [PubMed] [Google Scholar]
- 87. Pillas D, Marmot M, Naicker K, Goldblatt P, Morrison J, Pikhart H. Social inequalities in early childhood health and development: a European-wide systematic review. Pediatr Res. 2014;76(5):418-424. doi: 10.1038/pr.2014.122 [DOI] [PubMed] [Google Scholar]
- 88. Natarajan L. Socio-spatial learning: a case study of community knowledge in participatory spatial planning. Prog Plann. 2017;111:1-23. doi: 10.1016/j.progress.2015.06.002 [DOI] [Google Scholar]
- 89. Stevenson M, Thompson J, de Sá TH, et al. Land use, transport, and population health: estimating the health benefits of compact cities. Lancet. 2016;388(10062):2925-2935. doi: 10.1016/S0140-6736(16)30067-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Rydin Y, Bleahu A, Davies M, et al. Shaping cities for health: complexity and the planning of urban environments in the 21st century. Lancet. 2012;379(9831):2079-2108. doi: 10.1016/S0140-6736(12)60435-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Burris S, Hancock T, Lin V, Herzog A. Emerging strategies for healthy urban governance. J Urban Health. 2007;84(3 Suppl):154-163. doi: 10.1007/s11524-007-9174-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Sallis JF, Bull F, Burdett R, et al. Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities. Lancet. 2016;388(10062):2936-2947. doi: 10.1016/S0140-6736(16)30068-X [DOI] [PubMed] [Google Scholar]
- 93. Kaźmierczak A. The contribution of local parks to neighbourhood social ties. Landsc Urban Plan. 2013;109(1):31-44. doi: 10.1016/j.landurbplan.2012.05.007 [DOI] [Google Scholar]
- 94. Sarkar C, Gallacher J, Webster C. Urban built environment configuration and psychological distress in older men: results from the Caerphilly study. BMC Public Health. 2013;13:695. doi: 10.1186/1471-2458-13-695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Feng J, Glass TA, Curriero FC, Stewart WF, Schwartz BS. The built environment and obesity: a systematic review of the epidemiologic evidence. Health Place. 2010;16(2):175-190. doi: 10.1016/j.healthplace.2009.09.008 [DOI] [PubMed] [Google Scholar]
- 96. Gehl J. “Soft edges” in residential streets. Scandinavian Housing Plann Res. 1986;3(2):89-102. doi: 10.1080/02815738608730092 [DOI] [Google Scholar]
- 97. Brown BB, Burton JR, Sweaney AL. Neighbors, households, and front porches: new urbanist community tool or mere nostalgia? Environ Behav. 1998;30(5):579-600. doi: 10.1177/001391659803000501 [DOI] [Google Scholar]
- 98. Inclusive Design for Getting Outdoors. Why does the outdoor environment matter? 2012. Accessed October 25, 2019. https://www.idgo.ac.uk/pdf/Intro-leaflet-2012-FINAL-MC.pdf
- 99. Gehl J. Life Between Buildings: Using Public Space. Island Press; 2011. [Google Scholar]
- 100. Brown SC, Mason CA, Lombard JL, et al. The relationship of built environment to perceived social support and psychological distress in Hispanic elders: the role of “eyes on the street”. J Gerontol B Psychol Sci Soc Sci. 2009;64(2):234-246. doi: 10.1093/geronb/gbn011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Amano T, Butt I, Peh KS-H. The importance of green spaces to public health: a multi-continental analysis. Ecol Appl. 2018;28(6):1473-1480. doi: 10.1002/eap.1748 [DOI] [PubMed] [Google Scholar]
- 102. van den Berg M, Wendel-Vos W, van Poppel M, Kemper H, van Mechelen W, Maas J. Health benefits of green spaces in the living environment: a systematic review of epidemiological studies. Urban Forest Urban Green. 2015;14(4):806-816. doi: 10.1016/j.ufug.2015.07.008 [DOI] [Google Scholar]
- 103. Irvine KN, Warber SL, Devine-Wright P, Gaston KJ. Understanding urban green space as a health resource: a qualitative comparison of visit motivation and derived effects among park users in Sheffield, UK. Int J Environ Res Public Health. 2013;10(1):417-442. doi: 10.3390/ijerph10010417 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104. Foster S, Villanueva K, Wood L, Christian H, Giles-Corti B. The impact of parents’ fear of strangers and perceptions of informal social control on children’s independent mobility. Health Place. 2014;26:60-68. doi: 10.1016/j.healthplace.2013.11.006 [DOI] [PubMed] [Google Scholar]
- 105. Alparone FR, Pacilli MG. On children’s independent mobility: the interplay of demographic, environmental, and psychosocial factors. Child Geogr. 2012;10(1):109-122. doi: 10.1080/14733285.2011.638173 [DOI] [Google Scholar]
- 106. Kyttä M, Broberg A. The multiple pathways between environment and health. In: Wellbeing and the Environment: Other Factors and the Future. American Cancer Society; 2014:1-54. doi: 10.1002/9781118539415.wbwell077 [DOI]
- 107. Braveman P, Gruskin S. Defining equity in health. J Epidemiol Community Health. 2003;57(4):254-258. doi: 10.1136/jech.57.4.254 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Kieling C, Baker-Henningham H, Belfer M, et al. Child and adolescent mental health worldwide: evidence for action. Lancet. 2011;378(9801):1515-1525. doi: 10.1016/S0140-6736(11)60827-1 [DOI] [PubMed] [Google Scholar]
- 109. Frank LD, Sallis JF, Conway TL, Chapman JE, Saelens BE, Bachman W. Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. J Am Plann Assoc. 2006;72(1):75-87. doi: 10.1080/01944360608976725 [DOI] [Google Scholar]
- 110. Ewing R, Schmid T, Killingsworth R, Zlot A, Raudenbush S. Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promot. 2003;18(1):47-57. doi: 10.4278/0890-1171-18.1.47 [DOI] [PubMed] [Google Scholar]
- 111. Corburn J. Healthy City Planning: From Neighbourhood to National Health Equity. Routledge; 2013. [Google Scholar]
- 112. Barton H, Thompson S, Burgess S, Grant M. The Routledge Handbook of Planning for Health and Well-Being: Shaping a Sustainable and Healthy Future. Routledge; 2015. [Google Scholar]
- 113. Corburn J. Toward the Healthy City: People, Places, and the Politics of Urban Planning. MIT Press; 2009. [Google Scholar]
- 114. Corburn J. Urban place and health equity: critical issues and practices. Int J Environ Res Public Health. 2017;14(2):117. doi: 10.3390/ijerph14020117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. 2013;15(4):e85. doi: 10.2196/jmir.1933 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Tursunbayeva A, Franco M, Pagliari C. Use of social media for e-Government in the public health sector: a systematic review of published studies. Gov Inf Q. 2017;34(2):270-282. doi: 10.1016/j.giq.2017.04.001 [DOI] [Google Scholar]
- 117. Mondschein A, Moga ST. New directions in cognitive-environmental research: applications to urban planning and design. J Am Plann Assoc. 2018;84(3-4):263-275. doi: 10.1080/01944363.2018.1526644 [DOI] [Google Scholar]
- 118. Lydon M, Garcia A. Tactical Urbanism: Short-Term Action for Long-Term Change. Island Press; 2015. [Google Scholar]
- 119. Smilek D, Birmingham E, Cameron D, Bischof W, Kingstone A. Cognitive ethology and exploring attention in real-world scenes. Brain Res. 2006;1080(1):101-119. doi: 10.1016/j.brainres.2005.12.090 [DOI] [PubMed] [Google Scholar]
- 120. Williams JM. Everyday cognition and the ecological validity of intellectual and neuropsychological tests. In: Williams JM, Long CJ. eds. Cognitive Approaches to Neuropsychology. Plenum Press; 2015:123-141. [Google Scholar]
- 121. Ladouce S, Donaldson DI, Dudchenko PA, Ietswaart M. Understanding minds in real-world environments: toward a mobile cognition approach. Front Hum Neurosci. 2016;10(Pt 3):694. doi: 10.3389/fnhum.2016.00694 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Fett A-KJ, Lemmers-Jansen ILJ, Krabbendam L. Psychosis and urbanicity: a review of the recent literature from epidemiology to neurourbanism. Curr Opin Psychiatry. 2019;32(3):232-241. doi: 10.1097/YCO.0000000000000486 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Piwek L, Ellis DA, Andrews S, Joinson A. The rise of consumer health wearables: promises and barriers. PLoS Med. 2016;13(2):e1001953. doi: 10.1371/journal.pmed.1001953 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Werner C, Resch B, Loidl M. Evaluating urban bicycle infrastructures through intersubjectivity of stress sensations derived from physiological measurements. ISPRS Int J Geo-Inform. 2019;8(6):265. doi: 10.3390/ijgi8060265 [DOI] [Google Scholar]
- 125. Birenboim A, Dijst M, Scheepers FE, Poelman MP, Helbich M. Wearables and location tracking technologies for mental-state sensing in outdoor environments. Professional Geogr. 2019;71(3):449-461. doi: 10.1080/00330124.2018.1547978 [DOI] [Google Scholar]
- 126. Kyriakou K, Resch B, Sagl G, et al. Detecting moments of stress from measurements of wearable physiological sensors. Sensors (Basel). 2019;19(17):3805. doi: 10.3390/s19173805 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Edelstein EA, Macagno E. Form follows function: bridging neuroscience and architecture. In: Rassia S Th, Pardalos PM. eds. Sustainable Environmental Design in Architecture: Impacts on Health. Springer; 2012:27-41. [Google Scholar]
- 128. Lakshmi MR, Prasad TV, Prakash VC. Survey on EEG signal processing methods. Int J Adv Res Comput Sci Softw Eng. 2014;4(1):84-91. [Google Scholar]
- 129. Aspinall P, Mavros P, Coyne R, Roe J. The urban brain: analysing outdoor physical activity with mobile EEG. Br J Sports Med. 2015;49(4):272-276. doi: 10.1136/bjsports-2012-091877 [DOI] [PubMed] [Google Scholar]
- 130. Kim M, Cheon S, Kang Y. Use of electroencephalography (EEG) for the analysis of emotional perception and fear to nightscapes. Sustainability. 2019;11(1):233. doi: 10.3390/su11010233 [DOI] [Google Scholar]
- 131. Elsadek M, Liu B, Lian Z. Green façades: their contribution to stress recovery and well-being in high-density cities. Urban Forest Urban Green. 2019;46:126446. doi: 10.1016/j.ufug.2019.126446 [DOI] [Google Scholar]
- 132. Kim T-H, Jeong G-W, Baek H-S, et al. Human brain activation in response to visual stimulation with rural and urban scenery pictures: a functional magnetic resonance imaging study. Sci Total Environ. 2010;408(12):2600-2607. doi: 10.1016/j.scitotenv.2010.02.025 [DOI] [PubMed] [Google Scholar]
- 133. Tang I-C, Tsai Y-P, Lin Y-J, et al. Using functional magnetic resonance imaging (fMRI) to analyze brain region activity when viewing landscapes. Landsc Urban Plan. 2017;162:137-144. doi: 10.1016/j.landurbplan.2017.02.007 [DOI] [Google Scholar]
- 134. Zeile P, Resch B, Loidl M, Petutschnig A, Dörrzapf L. Urban emotions and cycling experience—enriching traffic planning for cyclists with human sensor data. GI Forum. 2016;4(1):204-216. doi: 10.1553/giscience2016_01_s204 [DOI] [Google Scholar]
- 135. Kanjo E, Al-Husain L, Chamberlain A. Emotions in context: examining pervasive affective sensing systems, applications, and analyses. Pers Ubiquitous Comput. 2015;19(7):1197-1212. doi: 10.1007/s00779-015-0842-3 [DOI] [Google Scholar]
- 136. Roe JJ, Aspinall PA, Mavros P, Coyne R. Engaging the brain: the impact of natural versus urban scenes using novel EEG methods in an experimental setting. Environ Sci. 2013;1(2):93-104. doi: 10.12988/es.2013.3109 [DOI] [Google Scholar]
- 137. Dörrzapf L, Kovács-Győri A, Resch B, Zeile P. Defining and assessing walkability: a concept for an integrated approach using surveys, biosensors and geospatial analysis. Urban Dev Issues. 2019;62(1):5-15. doi: 10.2478/udi-2019-0008 [DOI] [Google Scholar]
- 138. Banaei M, Yazdanfar A, Nooreddin M, Yoonessi A. Enhancing urban trails design quality by using electroencephalography device. Procedia Soc Behav Sci. 2015;201:386-396. doi: 10.1016/j.sbspro.2015.08.191 [DOI] [Google Scholar]
- 139. Lau-Zhu A, Lau MPH, McLoughlin G. Mobile EEG in research on neurodevelopmental disorders: opportunities and challenges. Dev Cogn Neurosci. 2019;36:100635. doi: 10.1016/j.dcn.2019.100635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Roe J, Aspinall P. The restorative benefits of walking in urban and rural settings in adults with good and poor mental health. Health Place. 2011;17(1):103-113. doi: 10.1016/j.healthplace.2010.09.003 [DOI] [PubMed] [Google Scholar]
- 141. Mavros P, Austwick MZ, Smith AH. Geo-EEG: towards the use of EEG in the study of urban behaviour. Appl Spat Anal Policy. 2016;9(2):191-212. doi: 10.1007/s12061-015-9181-z [DOI] [Google Scholar]
- 142. Manning N. Sociology, biology and mechanisms in urban mental health. Soc Theory Health. 2019;17(1):1-22. doi: 10.1057/s41285-018-00085-7 [DOI] [Google Scholar]
- 143. Botchwey ND, Falkenstein R, Levin J, Fisher T, Trowbridge M. The built environment and actual causes of death: promoting an ecological approach to planning and public health. J Plann Lit. 2015;30(3):261-281. doi: 10.1177/0885412214561337 [DOI] [Google Scholar]
- 144. Haskins J. Public health, planning come together to create healthier communities: Plan4Health. Nations Health. 2018;47(10):1-12. [Google Scholar]
- 145. Bronfenbrenner U. Toward an experimental ecology of human development. Am Psychol. 1977;32(7):513-531. doi: 10.1037/0003-066X.32.7.513 [DOI] [Google Scholar]
- 146. Suleiman AB, Soleimanpour S, London J. Youth action for health through youth-led research. J Community Pract. 2006;14(1-2):125-145. doi: 10.1300/J125v14n01_08 [DOI] [Google Scholar]
- 147. Patton GC, Sawyer SM, Santelli JS, et al. Our future: a Lancet commission on adolescent health and wellbeing. Lancet. 2016;387(10036):2423-2478. doi: 10.1016/S0140-6736(16)00579-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Arunkumar K, Bowman DD, Coen SE, et al. Conceptualizing youth participation in children’s health research: insights from a youth-driven process for developing a youth advisory council. Children (Basel). 2019;6(1):3. doi: 10.3390/children6010003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Naslund JA, Gonsalves PP, Gruebner O, et al. Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention. Curr Treat Options Psychiatry. 2019;6(4):337-351. doi: 10.1007/s40501-019-00186-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Lopez BE, Magliocca NR, Crooks AT. Challenges and opportunities of social media data for socio-environmental systems research. Land. 2019;8(7):107. doi: 10.3390/land8070107 [DOI] [Google Scholar]
- 151. Roberts H, Sadler J, Chapman L. The value of Twitter data for determining the emotional responses of people to urban green spaces: a case study and critical evaluation. Urban Stud. 2019;56(4):818-835. doi: 10.1177/0042098017748544 [DOI] [Google Scholar]
- 152. Schweitzer L. Planning and social media: a case study of public transit and stigma on Twitter. J Am Plann Assoc. 2014;80(3):218-238. doi: 10.1080/01944363.2014.980439 [DOI] [Google Scholar]
- 153. Zammit S, Lewis G, Rasbash J, Dalman C, Gustafsson J-E, Allebeck P. Individuals, schools, and neighborhood: a multilevel longitudinal study of variation in incidence of psychotic disorders. Arch Gen Psychiatry. 2010;67(9):914-922. doi: 10.1001/archgenpsychiatry.2010.101 [DOI] [PubMed] [Google Scholar]
- 154. Gray T. Outdoor learning and psychological resilience: making today’s students better prepared for tomorrow’s world. Curric Perspect. 2019;39(1):67-72. doi: 10.1007/s41297-019-00069-1 [DOI] [Google Scholar]
- 155. Goltsman S, Kelly L, McKay S, Algara P, Wight L. Raising “free range kids”: creating neighborhood parks that promote environmental stewardship. J Green Building. 2009;4(2):90-106. doi: 10.3992/jgb.4.2.90 [DOI] [Google Scholar]
- 156. Gray P. The decline of play and the rise of psychopathology in children and adolescents. Am J Play. 2011;3(4):443-463. [Google Scholar]
- 157. Chriqui JF, Thrun E, Sanghera A. Components of Local Land Development and Related Zoning Policies Associated With Increased Walking: A Primer for Public Health Practitioners. Institute for Health Research and Policy; 2018. Accessed July 4, 2020. https://stacks.cdc.gov/view/cdc/58974
- 158. Hong Y-J, Kim HE, Jung YH, Kyeong S, Kim J-J. Usefulness of the mobile virtual reality self-training for overcoming a fear of heights. Cyberpsychol Behav Soc Netw. 2017;20(12):753-761. doi: 10.1089/cyber.2017.0085 [DOI] [PubMed] [Google Scholar]
- 159. Prelow HM, Danoff-Burg S, Swenson RR, Pulgiano D. The impact of ecological risk and perceived discrimination on the psychological adjustment of African American and European American youth. J Community Psychol. 2004;32(4):375-389. doi: 10.1002/jcop.20007 [DOI] [Google Scholar]
- 160. McPherson KE, Kerr S, McGee E, et al. The association between social capital and mental health and behavioural problems in children and adolescents: an integrative systematic review. BMC Psychol. 2014;2(1):7. doi: 10.1186/2050-7283-2-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Yang W, Mu L. GIS analysis of depression among Twitter users. Appl Geogr. 2015;60:217-223. doi: 10.1016/j.apgeog.2014.10.016 [DOI] [Google Scholar]
- 162. Carpiano RM. Come take a walk with me: the “go-along” interview as a novel method for studying the implications of place for health and well-being. Health Place. 2009;15(1):263-272. doi: 10.1016/j.healthplace.2008.05.003 [DOI] [PubMed] [Google Scholar]
- 163. Belon AP, Nieuwendyk LM, Vallianatos H, Nykiforuk CIJ. How community environment shapes physical activity: perceptions revealed through the PhotoVoice method. Soc Sci Med. 2014;116:10-21. doi: 10.1016/j.socscimed.2014.06.027 [DOI] [PubMed] [Google Scholar]
- 164. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4(1):1-32. doi: 10.1146/annurev.clinpsy.3.022806.091415 [DOI] [PubMed] [Google Scholar]
- 165. Grassini S, Revonsuo A, Castellotti S, Petrizzo I, Benedetti V, Koivisto M. Processing of natural scenery is associated with lower attentional and cognitive load compared with urban ones. J Environ Psychol. 2019;62:1-11. doi: 10.1016/j.jenvp.2019.01.007 [DOI] [Google Scholar]
- 166. Boeing G. Measuring the complexity of urban form and design. Urban Des Int. 2018;23(4):281-292. doi: 10.1057/s41289-018-0072-1 [DOI] [Google Scholar]
- 167. Schrom-Feiertag H, Stubenschrott M, Regal G, Matyus T, Seer S. An interactive and responsive virtual reality environment for participatory urban planning. Presented at: Symposium on Simulation for Architecture and Urban Design SimAUD Conference; May 25-27, 2020.
- 168. Choi Y, Kim M, Chun C. Measurement of occupants’ stress based on electroencephalograms (EEG) in twelve combined environments. Build Environ. 2015;88:65-72. doi: 10.1016/j.buildenv.2014.10.003 [DOI] [Google Scholar]
- 169. Neale C, Aspinall P, Roe J, et al. The impact of walking in different urban environments on brain activity in older people. Cities Health. 2020;4(1):94-106. doi: 10.1080/23748834.2019.1619893 [DOI] [Google Scholar]
- 170. Park S-A, Song C, Choi J-Y, Son K-C, Miyazaki Y. Foliage plants cause physiological and psychological relaxation as evidenced by measurements of prefrontal cortex activity and profile of mood states. HortScience. 2016;51(10):1308-1312. doi: 10.21273/HORTSCI11104-16 [DOI] [Google Scholar]
- 171. Anttila M, Sittichai R, Katajisto J, Välimäki M. Impact of a web program to support the mental wellbeing of high school students: a quasi experimental feasibility study. Int J Environ Res Public Health. 2019;16(14):2473. doi: 10.3390/ijerph16142473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Chandra PS, Sowmya HR, Mehrotra S, Duggal M. “SMS” for mental health—feasibility and acceptability of using text messages for mental health promotion among young women from urban low income settings in India. Asian J Psychiatr. 2014;11:59-64. doi: 10.1016/j.ajp.2014.06.008 [DOI] [PubMed] [Google Scholar]