TY - JOUR
T1 - Credibility of the evidence on green space and human health
T2 - an overview of meta-analyses using evidence grading approaches
AU - Xie, Yuting
AU - Fan, Shujun
AU - Luo, Yana
AU - Li, Jiaxin
AU - Zhang, Yidan
AU - Hu, Lixin
AU - Qiu, Huiling
AU - Zhou, Ganglong
AU - Heinrich, Joachim
AU - Zhao, Tianyu
AU - Li, Zhengtu
AU - Li, Li
AU - Xu, Aimin
AU - Ji, John S.
AU - Zhang, Zhoubin
AU - Zhou, Yuanzhong
AU - Lau, Sam S.S.
AU - Zou, Xiaoguang
AU - Dong, Guanghui
AU - Dadvand, Payam
AU - Yang, Boyi
N1 - The research was funded by the National Natural Science Foundation of China (No. 81972992; No. 81803196; No. M-0420); the Guangzhou Science and Technology Program (No. 202103000073); and the Guangdong Medical Science and Technology Research Fund (No. A2023271). We also acknowledge support from We also acknowledge support from the Research Grant Council of the Hong Kong SAR (UGC/IDS(R)23/20), the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program to ISGlobal.
Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.
PY - 2024/8
Y1 - 2024/8
N2 - Background: Green space is an important part of the human living environment, with many epidemiological studies estimating its impact on human health. However, no study has quantitatively assessed the credibility of the existing evidence, impeding their translations into policy decisions and hindering researchers from identifying new research gaps. This overview aims to evaluate and rank such evidence credibility. Methods: Following the PRISMA guideline, we systematically searched PubMed, Web of Science, and Embase databases for systematic reviews with meta-analyses concerning green spaces and health outcomes published up to January 15, 2024. We categorized the credibility of meta-analytical evidence from interventional studies into four levels (i.e., high, moderate, low, and very low) using the Grading of Recommendation, Assessment, Development and Evaluations framework, based on five domains including risk of bias, inconsistency, indirectness, imprecision, and publication bias. Further, we recalculated all the meta-analyses from observational studies and classified evidence into five levels (i.e., convincing, highly suggestive, suggestive, weak, and non-significant) by considering stringent thresholds for P-values, sample size, robustness, heterogeneity, and testing for biases. Findings: In total, 154 meta-analysed associations (interventional = 44, observational = 110) between green spaces and health outcomes were graded. Among meta-analyses from interventional studies, zero, four (wellbeing, systolic blood pressure, negative affect, and positive affect), 20, and 20 associations between green spaces and health outcomes were graded as high, moderate, low, and very low credibility evidence, respectively. Among meta-analyses from observational studies, one (cardiovascular disease mortality), four (prevalence/incidence of diabetes mellitus, preterm birth, and small for gestational age infant, and all-cause mortality), 12, 22, and 71 associations were categorized as convincing, highly suggestive, suggestive, weak, and non-significant evidence, respectively. Interpretation: The current evidence largely confirms beneficial associations between green spaces and human health. However, only a small subset of these associations can be deemed to have a high or convincing credibility. Hence, future better designed primary studies and meta-analyses are still needed to provide higher quality evidence for informing health promotion strategies. Funding: The National Natural Science Foundation of China of China; the Guangzhou Science and Technology Program; the Guangdong Medical Science and Technology Research Fund; the Research Grant Council of the Hong Kong SAR; and Sino-German mobility program.
AB - Background: Green space is an important part of the human living environment, with many epidemiological studies estimating its impact on human health. However, no study has quantitatively assessed the credibility of the existing evidence, impeding their translations into policy decisions and hindering researchers from identifying new research gaps. This overview aims to evaluate and rank such evidence credibility. Methods: Following the PRISMA guideline, we systematically searched PubMed, Web of Science, and Embase databases for systematic reviews with meta-analyses concerning green spaces and health outcomes published up to January 15, 2024. We categorized the credibility of meta-analytical evidence from interventional studies into four levels (i.e., high, moderate, low, and very low) using the Grading of Recommendation, Assessment, Development and Evaluations framework, based on five domains including risk of bias, inconsistency, indirectness, imprecision, and publication bias. Further, we recalculated all the meta-analyses from observational studies and classified evidence into five levels (i.e., convincing, highly suggestive, suggestive, weak, and non-significant) by considering stringent thresholds for P-values, sample size, robustness, heterogeneity, and testing for biases. Findings: In total, 154 meta-analysed associations (interventional = 44, observational = 110) between green spaces and health outcomes were graded. Among meta-analyses from interventional studies, zero, four (wellbeing, systolic blood pressure, negative affect, and positive affect), 20, and 20 associations between green spaces and health outcomes were graded as high, moderate, low, and very low credibility evidence, respectively. Among meta-analyses from observational studies, one (cardiovascular disease mortality), four (prevalence/incidence of diabetes mellitus, preterm birth, and small for gestational age infant, and all-cause mortality), 12, 22, and 71 associations were categorized as convincing, highly suggestive, suggestive, weak, and non-significant evidence, respectively. Interpretation: The current evidence largely confirms beneficial associations between green spaces and human health. However, only a small subset of these associations can be deemed to have a high or convincing credibility. Hence, future better designed primary studies and meta-analyses are still needed to provide higher quality evidence for informing health promotion strategies. Funding: The National Natural Science Foundation of China of China; the Guangzhou Science and Technology Program; the Guangdong Medical Science and Technology Research Fund; the Research Grant Council of the Hong Kong SAR; and Sino-German mobility program.
KW - Evidence credibility
KW - Green space
KW - Nature
KW - Overview
KW - Parks
KW - Policy
UR - http://www.scopus.com/inward/record.url?scp=85199912452&partnerID=8YFLogxK
U2 - 10.1016/j.ebiom.2024.105261
DO - 10.1016/j.ebiom.2024.105261
M3 - Journal article
C2 - 39079340
AN - SCOPUS:85199912452
SN - 2352-3964
VL - 106
JO - EBioMedicine
JF - EBioMedicine
M1 - 105261
ER -