Zhang, X. Q. The trends, promises and challenges of urbanisation in the world. Habitat Int. 54, 241–252 (2016).
Google Scholar
Arup Cities Alive: Designing for Urban Childhoods. (2017). https://www.arup.com/insights/cities-alive-designing-for-urban-childhoods/
Binter, A. C. et al. Urban environment and cognitive and motor function in children from four European birth cohorts. Environ. Int. 158, 106933 (2022).
Google Scholar
Dadvand, P. et al. Green spaces and cognitive development in primary schoolchildren. Proc. Natl. Acad. Sci. U S A. 112, 7937–7942 (2015).
Google Scholar
Xu, J. et al. Global urbanicity is associated with brain and behaviour in young people. Nature Human Behaviour 2021 6:2 6, 279–293 (2021).
Evans, B. E. et al. Urbanicity, biological stress system functioning and mental health in adolescents. PLoS One. 15, e0228659 (2020).
Google Scholar
Krabbendam, L. et al. Understanding urbanicity: how interdisciplinary methods help to unravel the effects of the City on mental health. Psychol. Med. 51, 1099–1110 (2021).
Google Scholar
Blakemore, S. J. Adolescence and mental health. Lancet 393, 2030–2031 (2019).
Google Scholar
Choudhury, S., Pi-Sunyer, P., Blakemore, S. J. & B. & A neuroecosocial perspective on adolescent development. Annu. Rev. Dev. Psychol. 5, 285–307 (2023).
Google Scholar
Iungman, T. et al. The impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality in europe: a data science approach. Lancet Planet. Health. 8, e489–e505 (2024).
Google Scholar
Ventimiglia, I. & Seedat, S. Current evidence on urbanicity and the impact of neighbourhoods on anxiety and Stress-relateddisorders. Curr. Opin. Psychiatry 32, 248–253 (2019).
Gruebner, O. et al. Cities and mental health. Dtsch. Arztebl Int. 114, 121 (2017).
Google Scholar
Chan, S. M., Wong, H., Chung, R. Y. N. & Au-Yeung, T. C. Association of living density with anxiety and stress: A cross-sectional population study in Hong Kong. Health Soc. Care Community. 29, 1019–1029 (2021).
Google Scholar
Krämer, B., Diekhof, E. K. & Gruber, O. Effects of City living on the mesolimbic reward system—An Fmri study. Hum. Brain Mapp. 38, 3444–3453 (2017).
Google Scholar
French, S. et al. Sense of community and its association with the neighborhood built environment. Environment andBehaviour. 46, 677–697 (2013). https://doi.org/10.1177/0013916512469098
Mouratidis, K. Built environment and social well-being: how does urban form affect social life and personal relationships? Cities 74, 7–20 (2018).
Google Scholar
Mouratidis, K. Compact city, urban sprawl, and subjective well-being. Cities 92, 261–272 (2019).
Google Scholar
Mouratidis, K. Neighborhood characteristics, neighborhood satisfaction, and well-being: the links with neighborhood deprivation. Land. Use Policy. 99, 104886 (2020).
Google Scholar
Cao, X. J. How does neighborhood design affect life satisfaction? Evidence from twin cities. Travel Behav. Soc. 5, 68–76 (2016).
Google Scholar
Lenzi, M., Vieno, A., Santinello, M. & Perkins, D. D. How neighborhood structural and institutional features can shape neighborhood social connectedness: A multilevel study of adolescent perceptions. Am. J. Community Psychol. 51, 451–467 (2013).
Google Scholar
Mouratidis, K. Is compact City livable? The impact of compact versus sprawled neighbourhoods on neighbourhood satisfaction. Urban Stud. 55, 2408–2430 (2018).
Google Scholar
Mazumdar, S., Learnihan, V., Cochrane, T. & Davey, R. The built environment and social capital: A systematic review. Environ. Behav. 50, 119–158 (2018).
Google Scholar
Mouratidis, K. & Poortinga, W. Built environment, urban vitality and social cohesion: do vibrant neighborhoods foster strong communities? Landsc. Urban Plan. 204, 103951 (2020).
Google Scholar
Towner, E., Thomas, K., Tomova, L. & Blakemore, S. J. Increased threat learning after social isolation in human adolescents. R Soc. Open. Sci 11, 240101 (2024).
Tomova, L., Andrews, J. L. & Blakemore, S. J. The importance of belonging and the avoidance of social risk taking in adolescence. Dev. Rev. 61, 100981 (2021).
Google Scholar
Dawson, C. T. et al. Perceived neighborhood social cohesion moderates the relationship between neighborhood structural disadvantage and adolescent depressive symptoms. Health Place. 56, 88–98 (2019).
Google Scholar
Pabayo, R., Dunn, E. C., Gilman, S. E., Kawachi, I. & Molnar, B. E. Income inequality within urban settings and depressive symptoms among adolescents. J. Epidemiol. Community Health (1978). 70, 997–1003 (2016).
Google Scholar
Visser, K. et al. Neighbourhood deprivation effects on young people’s mental health and well-being: A systematic review of the literature. Soc. Sci. Med. 270, 113542 (2021).
Google Scholar
Foell, A. et al. Exposure to community violence and depressive symptoms: examining community, family, and peer effects among public housing youth. Health Place. 69, 102579 (2021).
Google Scholar
Lin, E. Y. et al. Social and built-environment factors related to children’s independent mobility: the importance of neighbourhood cohesion and connectedness. Health Place. 46, 107–113 (2017).
Google Scholar
Schoeppe, S. et al. Socio-demographic factors and neighbourhood social cohesion influence adults’ willingness to grant children greater independent mobility: A cross-sectional study. BMC Public. Health. 15, 1–8 (2015).
Google Scholar
Marquez, J., Qualter, P., Petersen, K., Humphrey, N. & Black, L. Neighbourhood effects on loneliness among adolescents. J. Public. Health (Bangkok). 45, 663–675 (2023).
Google Scholar
Choi, J. K., Teshome, T. & Smith, J. Neighborhood disadvantage, childhood adversity, bullying victimization, and adolescent depression: A multiple mediational analysis. J. Affect. Disord. 279, 554–562 (2021).
Google Scholar
Mueller, M. A. E., Flouri, E. & Kokosi, T. The role of the physical environment in adolescent mental health. Health Place. 58, 102153 (2019).
Google Scholar
Mueller, M. A. E., Midouhas, E. & Flouri, E. Types of greenspace and adolescent mental health and well-being in metropolitan London. Cities Health. 7, 378–397 (2023).
Google Scholar
Mennis, J., Mason, M. & Ambrus, A. Urban greenspace is associated with reduced psychological stress among adolescents: A geographic ecological momentary assessment (GEMA) analysis of activity space. Landsc. Urban Plan. 174, 1–9 (2018).
Google Scholar
Konijnendijk, C. C. Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: introducing the 3-30-300 rule. J. Res. (Harbin). 34, 821–830 (2023).
Google Scholar
Nieuwenhuijsen, M. J. et al. The evaluation of the 3-30-300 green space rule and mental health. Environ. Res. 215, 114387 (2022).
Google Scholar
WHO. W. H. O. Urban Green Spaces: A Brief for Action. (2017). https://www.who.int/europe/publications/i/item/9789289052498
Mueller, M. A. E. & Flouri, E. Neighbourhood greenspace and children’s trajectories of self-regulation: findings from the UK millennium cohort study. J. Environ. Psychol. 71, 101472 (2020).
Google Scholar
Nordbø, E. C. A., Raanaas, R. K., Nordh, H. & Aamodt, G. Neighborhood green spaces, facilities and population density as predictors of activity participation among 8-year-olds: a cross-sectional GIS study based on the Norwegian mother and child cohort study. BMC Public. Health. 19, 1426 (2019).
Google Scholar
Grote, R. et al. Functional traits of urban trees: air pollution mitigation potential. Front. Ecol. Environ. 14, 543–550 (2016).
Google Scholar
Ha, J., Kim, H. J. & With, K. A. Urban green space alone is not enough: A landscape analysis linking the Spatial distribution of urban green space to mental health in the City of Chicago. Landsc. Urban Plan. 218, 104309 (2022).
Google Scholar
Sreetheran, M. & van den Bosch, C. C. K. A socio-ecological exploration of fear of crime in urban green spaces – A systematic review. Urban Urban Green. 13, 1–18 (2014).
Google Scholar
Rugel, E. J., Carpiano, R. M., Henderson, S. B. & Brauer, M. Exposure to natural space, sense of community belonging, and adverse mental health outcomes across an urban region. Environ. Res. 171, 365–377 (2019).
Google Scholar
Zhang, Y., Mavoa, S., Zhao, J., Raphael, D. & Smith, M. The Association between Green Space and Adolescents’ Mental Well-Being: A Systematic Review. International Journal of Environmental Research and Public Health Vol. 17, Page 6640 17, 6640 (2020). (2020).
Fleckney, P. & Bentley, R. The urban public realm and adolescent mental health and wellbeing: A systematic review. Soc Sci. Med 284, (2021).
Dadvand, P. et al. Use of green spaces, self-satisfaction and social contacts in adolescents: A population-based CASPIAN-V study. Environ. Res. 168, 171–177 (2019).
Google Scholar
Evans, G. W., Li, D. & Whipple, S. S. Cumulative risk and child development. Psychol. Bull. 139, 1342–1396 (2013).
Google Scholar
Gascon, M. et al. Mental health benefits of Long-Term exposure to residential green and blue spaces: A systematic review. Int. J. Environ. Res. Public. Health. 12, 4354 (2015).
Google Scholar
Silvers, J. A. Adolescence as a pivotal period for emotion regulation development. Curr. Opin. Psychol. 44, 258–263 (2022).
Google Scholar
Donnelly, M. et al. Soft Skills and Social Mobility An Unequal Playing Field. (2019).
Rigolon, A. A complex landscape of inequity in access to urban parks: A literature review. Landsc. Urban Plan. 153, 160–169 (2016).
Google Scholar
Rigolon, A., Browning, M. H. E. M., McAnirlin, O. & Yoon, H. Green Space and Health Equity: A Systematic Review on the Potential of Green Space to Reduce Health Disparities. International Journal of Environmental Research and Public Health Vol. 18, Page 2563 18, 2563 (2021). (2021).
Rydenstam, T., Fell, T., Buli, B. G., King, A. C. & Bälter, K. Using citizen science to understand the prerequisites for physical activity among adolescents in low socioeconomic status neighborhoods – The NESLA study. Health Place. 65, 102387 (2020).
Google Scholar
Hjort, M. & Larsen, S. H. Motives for and barriers to the use of public space among teenage girls: a scoping review. Leisure Studies (2025).
Guxens, M. et al. Cohort profile: the INMA–INfancia y medio Ambiente–(Environment and Childhood) project. Int. J. Epidemiol. 41, 930–940 (2012).
Google Scholar
Rueger, S. Y., Malecki, C. K., Pyun, Y., Aycock, C. & Coyle, S. A Meta-Analytic Review of the Association Between Perceived Social Support and Depression in Childhood and Adolescence. (2016).
Alsarrani, A., Hunter, R. F., Dunne, L. & Garcia, L. Association between friendship quality and subjective wellbeing among adolescents: a systematic review. BMC Public Health 2022 22:1 22, 1–37 (2022).
Forrester, P., Kahric, U., Lewis, E. M., Rose, T. & Family Peer, and neighborhood influences on urban children’s subjective wellbeing. Child Adolesc. Soc. Work J. 41, 427–439 (2024).
Google Scholar
Dadvand, P. & Nieuwenhuijsen, M. G. Space and health. Integrating Hum. Health into Urban Transp. Planning: Framew. 409–423. (2019).
Flouri, E., Midouhas, E. & Joshi, H. The role of urban neighbourhood green space in children’s emotional and behavioural resilience. J. Environ. Psychol. 40, 179–186 (2014).
Google Scholar
Dadvand, P. et al. Surrounding greenness and pregnancy outcomes in four Spanish birth cohorts. Environ. Health Perspect. 120, 1481–1487 (2012).
Google Scholar
Weier. Measuring Vegetation (NDVI & EVI). (2000).
Gascon, M. et al. Normalized difference vegetation index (NDVI) as a marker of surrounding greenness in epidemiological studies: the case of Barcelona City. Urban Urban Green. 19, 88–94 (2016).
Google Scholar
Peters, R. L. et al. The association between environmental greenness and the risk of food allergy: A population-based study in Melbourne, Australia. Pediatr. Allergy Immunol. 33, e13749 (2022).
Google Scholar
Subiza-Pérez, M. et al. Social inequalities, green and blue spaces and mental health in 6–12 years old children participating in the INMA cohort. Health Place. 83, 103104 (2023).
Google Scholar
Urban Atlas. Urban Atlas Land Cover/Land Use 2012 (vector), Europe, 6-yearly — Copernicus Land Monitoring Service. (2012). https://land.copernicus.eu/en/products/urban-atlas/urban-atlas-2012
Luque-García, L. et al. Exploring the pathways linking prenatal and early childhood greenness exposure to attention-deficit/hyperactivity disorder symptoms during childhood: an approach based on robust causal inference. Int. J. Hyg. Environ. Health. 263, 114475 (2025).
Google Scholar
Duque, I. et al. Índice de privación En España Por sección censal En 2011. Gac Sanit. 35, 113–122 (2021).
Google Scholar
GHS-POP R2015A – GHS population grid, derived from GPW4, multitemporal 1990, 2000, 2015) – OBSOLETE RELEASE. (1975).
EU statistics on income and living conditions – Eurostat. https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions
Pizzi, C. et al. Measuring child Socio-Economic position in birth cohort research: the development of a novel standardized household income indicator. Int J. Environ. Res. Public. Health 17, (2020).
The KIDSCREEN Group Europe. The KIDSCREEN Questionnaires – Quality of Life Questionnaires for Children and Adolescents. Handbook (Pabst Science, 2006).
Ravens-Sieberer, U. et al. The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Value Health. 11, 645–658 (2008).
Google Scholar
Ravens-Sieberer, U. et al. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev. Pharmacoecon Outcomes Res. 5, 353–364 (2005).
Google Scholar
Ravens-Sieberer, U. et al. The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Qual. Life Res. 23, 791–803 (2014).
Google Scholar
Baron, R. M. & Kenny, D. A. The Moderator-Mediator variable distinction in social psychological Research. Conceptual, Strategic, and statistical considerations. J. Pers. Soc. Psychol. 51, 1173–1182 (1986).
Google Scholar
R Core Team. R: The R Project for Statistical Computing. (2023). https://www.r-project.org/
Bolker, B. M. Linear and generalized linear mixed models. Ecological Statistics: Contemp. Theory Application 309–333, Oxford University Press, Oxford (2015).
Bates, D., Mächler, M., Zurich, E., Bolker, B. M. & Walker, S. C. Fitting Linear Mixed-Effects Models Using lme4. (2023). https://doi.org/10.18637/jss.v067.i01
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. LmerTest package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).
Google Scholar
Tukey, J. W. Exploratory Data Analysis (Reading, Mass., 1977).
Lenth, R. V. & emmeans Estimated marginal means, aka Least-Squares means. CRAN: Contributed Packages. (2017).
Google Scholar
Buczyłowska, D. et al. Exposure to greenspace and Bluespace and cognitive functioning in children – A systematic review. Environ. Res. 222, 115340 (2023).
Google Scholar
Götz, F. M., Gosling, S. D. & Rentfrow, P. J. Small effects: the indispensable foundation for a cumulative psychological science. Perspect. Psychol. Sci. 17, 205–215 (2022).
Google Scholar
Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D. & Patton, G. C. The age of adolescence. Lancet Child. Adolesc. Health. 2, 223–228 (2018).
Google Scholar
Reiches, M. W. Adolescence as a biocultural life history transition. Annu. Rev. Anthropol. 48, 151–168 (2019).
Google Scholar
Saragosa-Harris, N. M. et al. Real-World exploration increases across adolescence and relates to Affect, risk Taking, and social connectivity. Psychol. Sci. 33, 1664–1679 (2022).
Google Scholar
Piera Pi-Sunyer, B. et al. The relationship between perceived friendship quality and Self-Judgements in adolescent girls from London. Journal Early Adolescence (2024).
Van Harmelen, A. L. et al. Adolescent friendships predict later resilient functioning across psychosocial domains in a healthy community cohort. Psychol. Med. 47, 2312–2322 (2017).
Google Scholar
Güroğlu, B. The power of friendship: the developmental significance of friendships from a neuroscience perspective. Child. Dev. Perspect. 16, 110–117 (2022).
Google Scholar
Nordbø, E. C. A., Raanaas, R. K., Nordh, H. & Aamodt, G. Disentangling how the built environment relates to children’s well-being: participation in leisure activities as a mediating pathway among 8-year-olds based on the Norwegian mother and child cohort study. Health Place. 64, 102360 (2020).
Google Scholar
Moor, I. et al. Trends in social inequalities in adolescent health complaints from 1994 to 2010 in Europe, North America and israel: the HBSC study. Eur. J. Public. Health. 25, 57–60 (2015).
Google Scholar
Torsheim, T. et al. Social inequalities in self-rated health: A comparative cross-national study among 32,560 nordic adolescents. (2017). 46, 150–156
Astell-Burt, T., Feng, X., Mavoa, S., Badland, H. M. & Giles-Corti, B. Do low-income neighbourhoods have the least green space? A cross-sectional study of australia’s most populous cities. BMC Public. Health. 14, 1–11 (2014).
Google Scholar
Sun, Y., Saha, S., Tost, H., Kong, X. & Xu, C. Literature review reveals a global access inequity to urban green spaces. Sustain. (Switzerland). 14, 1062 (2022).
Google Scholar
González, L. et al. The role of parental social class, education and unemployment on child cognitive development. Gac Sanit. 34, 51–60 (2020).
Google Scholar
González, L. et al. Socioeconomic position, family context, and child cognitive development. Eur. J. Pediatr. 183, 2571–2585 (2024).
Google Scholar
Piera Pi-Sunyer, B., Andrews, J. L., Orben, A., Speyer, L. G. & Blakemore, S. J. The relationship between perceived income inequality, adverse mental health and interpersonal difficulties in UK adolescents. J Child. Psychol. Psychiatry 64, (2023).
Kline, P. A. Handbook of test construction (Psychology Revivals): introduction to psychometric design. Handb. Test. Constr. (Psychology Revivals). (2015).
Google Scholar
Belhadj Kouider, E., Koglin, U. & Petermann, F. Emotional and behavioral problems in migrant children and adolescents in europe: A systematic review. Eur. Child. Adolesc. Psychiatry. 23, 373–391 (2014).
Google Scholar
Rice, F. et al. Characterizing developmental trajectories and the role of neuropsychiatric genetic risk variants in Early-Onset depression. JAMA Psychiatry. 76, 306–313 (2019).
Google Scholar
Colodro-Conde, L. et al. Association between population density and genetic risk for schizophrenia. JAMA Psychiatry. 75, 901–910 (2018).
Google Scholar
Kwan, M. P. The limits of the neighborhood effect: contextual uncertainties in Geographic, environmental Health, and social science research. Ann. Am. Assoc. Geogr. 108, 1482–1490 (2018).
Kwan, M. P. The uncertain geographic context problem. Ann. Assoc. Am. Geogr. 102, 958–968 (2012).
Google Scholar
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