@inbook{12758,
  abstract     = {{hapter 6 explores the multifaceted relationship between NBS and human health in urban environments. It begins by discussing the interconnectedness of nature and human well-being, highlighting the potential of NBS in reducing environmental stressors, restoring capacities and inviting for a more (inter-)active lifestyle. The chapter then delves into specific aspects of health addressed by NBS, such as the mitigation of air pollution and the enhancement of thermal comfort. Additionally, it examines the role of allotment gardens in promoting well-being and social cohesion within urban communities. Furthermore, the chapter explores how NBS can encourage healthy behaviour among urban residents, offering insights into understanding behavioural patterns. Concluding with recommendations for practitioners, the chapter underscores the importance of effectively implementing NBS to improve health and well-being in urban settings. }},
  author       = {{Cardinali, Marcel and Bodenan, Philippe and Burov, Angel and Chancibault, Katia and Fleury, Ghozlane and Herpin, Sophie and Roy-Lisneuf, Jude Le and Sapin, Arnaud and Petrova, Milena Tasheva and Mutafchiiska, Irina}},
  booktitle    = {{Urban Inclusive and Innovative Nature - Fundaments and Practices for the Co-creation of Nature-based Cities}},
  editor       = {{Ferreira, Isabel and Caitana, Beatriz and Nunes, Nathalie and Ribal, Eddine}},
  isbn         = {{978-88-6835-519-7}},
  keywords     = {{Nature-based Solutions, Public health, Air pollution, Thermal comfort, Social cohesion, Physical activity}},
  pages        = {{302–369}},
  publisher    = {{Fondazione Giangiacomo Feltrinelli}},
  title        = {{{How Nature-based Solutions Promote Health & Wellbeing}}},
  year         = {{2024}},
}

@misc{12830,
  abstract     = {{Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and H & oslash;je-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.}},
  author       = {{Cardinali, Marcel and Beenackers, Mariëlle A. and Timmeren, Arjan van and Pottgiesser, Uta}},
  booktitle    = {{  Health & place : an international journal ; a social science & medicine publication}},
  issn         = {{1873-2054}},
  keywords     = {{Greenspace, Mitigation, Air quality, Public health, Structural equation modelling}},
  publisher    = {{Elsevier BV}},
  title        = {{{Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities}}},
  doi          = {{10.1016/j.healthplace.2024.103300}},
  volume       = {{89}},
  year         = {{2024}},
}

@misc{13013,
  abstract     = {{The relationship between green spaces and health is attracting more and more societal and research interest. The research field is however still suffering from its differing monodisciplinary origins. Now in a multidisciplinary environment on its way to a truly interdisciplinary field, there is a need for a common understanding, precision in green space indicators, and coherent assessment of the complexity of daily living environments. In several reviews, common protocols and open-source scripts are considered a high priority to advance the field. Realizing these issues, we developed PRIGSHARE (Preferred Reporting Items in Greenspace Health Research). It is accompanied by an open-source script that supports non-spatial disciplines in assessing greenness and green space on different scales and types. The PRIGSHARE checklist contains 21 items that have been identified as a risk of bias and are necessary for understanding and comparison of studies. The checklist is divided into the following topics: objectives (3 items), scope (3 items), spatial assessment (7 items), vegetation assessment (4 items), and context assessment (4 items). For each item, we include a pathway-specific (if relevant) rationale and explanation. The PRIGSHARE guiding principles should be helpful to support a high-quality assessment and synchronize the studies in the field while acknowledging the diversity of study designs.}},
  author       = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}},
  booktitle    = {{Environmental Research}},
  issn         = {{1096-0953}},
  keywords     = {{Greenspace, Well-being, Public health, Pollution, Behavior, Stress}},
  publisher    = {{Elsevier BV}},
  title        = {{{Preferred reporting items in green space health research. Guiding principles for an interdisciplinary field.}}},
  doi          = {{10.1016/j.envres.2023.115893}},
  volume       = {{228}},
  year         = {{2023}},
}

@misc{11284,
  abstract     = {{Introduction: Non-communicable diseases are the global disease burden of our time, with physical inactivity identified as one major risk factor. Green spaces are associated with increased physical activity of nearby residents. But there are still gaps in understanding which proximity and what characteristics of green spaces can trigger physical activity. This study aims to unveil these differences with a rigorous sensitivity analysis. Methods: We gathered data on self-reported health and physical activity from 1365 participants in selected neighbourhoods in Porto, Nantes, Sofia, and Hoje-Taastrup. Spatial data were retrieved from OpenStreetMap. We followed the PRIGSHARE guidelines to control for bias. Around the residential addresses, we generated seven different green space indicators for 15 distances (100-1500 m) using the AID-PRIGSHARE tool. We then analysed each of these 105 green space indicators together with physical activity and health in 105 adjusted structural equation models. Results: Green space accessibility and green space uses indicators showed a pattern of significant positive associations to physical activity and indirect to health at distances of 1100 m or less, with a peak at 600 m for most indicators. Greenness in close proximity (100 m) had significant positive effects on physical activity and indirect effects on health. Surrounding greenness showed positive direct effects on health at 500-1100 m and so do green corridors in 800 m network distance. In contrast, a high quantity of green space uses, and surrounding greenness measured in a larger radius (1100-1500 m) showed a negative relationship with physical activity and indirect health effects. Conclusions: Our results provide insight into how green space characteristics can influence health at different scales, with important implications for urban planners on how to integrate accessible green spaces into urban structures and public health decision-makers on the ability of green spaces to combat physical inactivity.}},
  author       = {{Cardinali, Marcel and Beenackers, Mariëlle A. and van Timmeren, Arjan and Pottgiesser, Uta}},
  booktitle    = {{Environmental research : a multidisziplinary journal of environmental sciences, ecology, and public health }},
  issn         = {{1096-0953}},
  keywords     = {{Greenspace, Mediator, Behaviour, Sedentary lifestyle, Public health}},
  publisher    = {{Elsevier BV}},
  title        = {{{The relation between proximity to and characteristics of green spaces to physical activity and health: A multi-dimensional sensitivity analysis in four European cities}}},
  doi          = {{10.1016/j.envres.2023.117605}},
  volume       = {{241}},
  year         = {{2023}},
}

