Different greenness exposure in Europe and respiratory outcomes in youths. A systematic review and meta-analysis.

Asthma Children-adolescents Europe Greenness NDVI Respiratory outcomes

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
12 Jan 2024
Historique:
received: 07 04 2023
revised: 19 12 2023
accepted: 08 01 2024
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 14 1 2024
Statut: aheadofprint

Résumé

The existing evidence on the association between greenness and respiratory outcomes remains inconclusive. We aimed at systematically summarizing existing literature on greenness exposure and respiratory outcomes in European children and adolescents, with a preliminary attempt to qualify the distribution of dominant tree species across different geographical areas and bioclimatic regions. Overall, 4049 studies were firstly identified by searching PubMed/MEDLINE, EMBASE, Scopus, Web of Science, GreenFile and CAB direct, up to 29 August 2023. Eighteen primary studies were included in the systematic review and six were meta-analyzed. No overall significant association was observed between the Normalized Difference Vegetation Index, assessed within 500-m buffers (i.e. NDVI-500), and the odds of asthma for 0.3-increase in the exposure (OR: 0.97, 95% CI from 0.53 to 1.78). Similarly, an overall exposure to NDVI-300 high tertile, as compared to the low tertile, was not significantly associated with asthma (OR: 0.65, 95% CI from 0.22 to 1.91): heterogeneity among studies was significant (p = 0.021). We delineated some key elements that might have mostly contributed to the lack of scientific consensus on this topic, starting from the urgent need of harmonized approaches for the operational definition of greenness. Additionally, the complex interplay between greenness and respiratory health may vary across different geographical regions and climatic conditions. At last, the inconsistent findings may reflect the heterogeneity and complexity of this relationship, rather than a lack of scientific consensus itself. Future research should compare geographical areas with similar bioclimatic parameters and dominant or potentially present vegetation species, in order to achieve a higher inter-study comparability.

Identifiants

pubmed: 38220079
pii: S0013-9351(24)00070-7
doi: 10.1016/j.envres.2024.118166
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

118166

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Giulia Squillacioti (G)

Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy. Electronic address: giulia.squillacioti@unito.it.

Salvatore Fasola (S)

Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy. Electronic address: salvatore.fasola@ift.cnr.it.

Federica Ghelli (F)

Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy. Electronic address: federica.ghelli@unito.it.

Nicoletta Colombi (N)

Biblioteca Federata di Medicina Ferdinando Rossi, University of Turin, 10126, Turin, Italy. Electronic address: nicoletta.colombi@unito.it.

Alessandra Pandolfo (A)

Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy. Electronic address: alessandra.pandolfo@ift.cnr.it.

Stefania La Grutta (S)

Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy. Electronic address: stefania.lagrutta@ift.cnr.it.

Giovanni Viegi (G)

Institute of Clinical Physiology (IFC), National Research Council of Italy, 56126, Pisa, Italy. Electronic address: viegig@ifc.cnr.it.

Roberto Bono (R)

Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy. Electronic address: roberto.bono@unito.it.

Classifications MeSH