Urban Green Spaces and Social Cohesion in Racially and Ethnically Diverse Communities: A Scoping Review of Mediators, Inequities, and Health Equity Implications
Notice bibliographique
Résumé
Background A predictor of public health, social cohesiveness may be improved by urban green areas through processes such as trust, affiliation, and social capital. However, these advantages are frequently prevented by inequitable access, maintenance discrepancies, safety concerns, and the threat of green redevelopment in racially and ethnically diverse neighborhoods.Objectives/Aims To collect information regarding the correlation between unity in society and urban green spaces across racially and ethnically diverse groups, while also identifying mediating variables, inequalities, and implications for public health equality.Methods A scoping review was performed in line with the PRISMA extension for scoping reviews. From the beginning until March 2024, MEDLINE, Scopus, Web of Science, and Embase were searched using a limited vocabulary and terms relating to natural space, social cohesion, and varied communities. The research was eligible if they assessed urban green areas and social integration, demonstrated linked health consequences, and looked into historically disadvantaged populations. Quantitative and qualitative designs were equally acceptable. Data extraction and quality evaluation (Newcastle-Ottawa Scale, CASP) were carried out in triplicate. A theme synthesis was created by combining data from six domains: the social environment, the built environment, leisure, maintenance, safety, and green gentrification.Results/Key Findings 126 studies met the inclusion criteria, which included a variety of demographics and geographic locations, out of 3,246 documents. High-quality, culturally inclusive, and easily accessible green spaces were consistently associated with improved mental health, increased physical activity, and increased community trust. Felt safety and leisure inclusion were the primary mediators. The advantages were restricted by structural imbalances, such as unequal park financing, biased implementation, and a lack of canopy cover. Green gentrification has a mixed effect, as it can occasionally improve amenities while also increasing the likelihood of exclusion and displacement. Causal inference was restricted by the variability in measurement and cross-sectional dominance.Conclusions/Implications Urban green spaces have the potential to improve the health and social cohesion of various communities; however, their benefits are contingent upon their cultural significance, maintenance, safety, and equitable design. It is essential that policymakers, practitioners, and academics work together to establish criteria for safety and cohesiveness, incorporate anti-displacement strategies, and collaborate to develop solutions with impacted communities. Optimizing the health equity advantages of urban greening necessitates the mitigation of structural imbalances.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,059 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,004 |
| Bibliométrie | 0,019 | 0,022 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».