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绿色空间与人类健康证据的可信度:使用证据分级方法对荟萃分析的概述。

Credibility of the evidence on green space and human health: an overview of meta-analyses using evidence grading approaches.

机构信息

Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Centre of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.

Guangzhou Joint Research Centre for Disease Surveillance and Risk Assessment, Guangzhou Centre for Disease Control and Prevention, Guangzhou, 510440, China; Institute of Public Health, Guangzhou Medical University and Guangzhou Centre for Disease Control and Prevention, Guangzhou, China.

出版信息

EBioMedicine. 2024 Aug;106:105261. doi: 10.1016/j.ebiom.2024.105261. Epub 2024 Jul 29.

Abstract

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.

摘要

背景

绿色空间是人类居住环境的重要组成部分,许多流行病学研究估计其对人类健康的影响。然而,尚无研究对现有证据的可信度进行定量评估,这阻碍了将其转化为政策决策,并阻碍了研究人员发现新的研究空白。本综述旨在评估和排名此类证据的可信度。

方法

根据 PRISMA 指南,我们系统地检索了 PubMed、Web of Science 和 Embase 数据库,以获取截至 2024 年 1 月 15 日发表的有关绿色空间与健康结果的系统评价和荟萃分析。我们根据五个领域(偏倚风险、不一致性、间接性、不精确性和发表偏倚),使用推荐评估、发展和评估(Grading of Recommendation, Assessment, Development and Evaluations)框架,将干预研究中荟萃分析证据的可信度分为四个等级(高、中、低和极低)。此外,我们重新计算了所有来自观察性研究的荟萃分析,并通过考虑 P 值、样本量、稳健性、异质性和偏倚检验的严格阈值,将证据分为五个等级(有说服力、高度提示、提示、微弱和无意义)。

结果

共对 154 项绿色空间与健康结果之间的荟萃分析关联(干预研究=44 项,观察性研究=110 项)进行了分级。在干预研究的荟萃分析中,零、四(幸福感、收缩压、负性情绪和正性情绪)、20 和 20 项绿色空间与健康结果之间的关联分别被评为高、中、低和极低可信度证据。在观察性研究的荟萃分析中,一项(心血管疾病死亡率)、四项(糖尿病患病率/发病率、早产和小于胎龄儿以及全因死亡率)、12、22 和 71 项关联被归类为有说服力、高度提示、提示、微弱和无意义的证据。

解释

目前的证据在很大程度上证实了绿色空间与人类健康之间存在有益的关联。然而,只有一小部分这些关联可以被认为具有高可信度或有说服力。因此,仍然需要设计更好的原始研究和荟萃分析,以提供更高质量的证据,为促进健康策略提供信息。

资金

中国国家自然科学基金;广州市科技计划;广东省医学科学技术研究基金;香港特别行政区研究资助局;中德流动性计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3044/11340586/803064919a75/gr1.jpg

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