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绿色环境与痴呆症有关吗?系统评价和剂量反应荟萃分析。

Is Greenness Associated with Dementia? A Systematic Review and Dose-Response Meta-analysis.

机构信息

Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125, Modena, Italy.

School of Public Health, University of California Berkeley, Berkeley, CA, 94704, USA.

出版信息

Curr Environ Health Rep. 2022 Dec;9(4):574-590. doi: 10.1007/s40572-022-00365-5. Epub 2022 Jul 20.

Abstract

PURPOSE OF REVIEW

We assessed the relation between environmental greenness and risk of dementia and cognitive impairment, based on a systematic review and meta-analysis up to March 30, 2022, characterizing whenever possible the shape of the association using dose-response meta-analysis.

RECENT FINDINGS

Twelve studies were included in this review, either using normalized difference vegetation index (NDVI) or land use/cover (LU/LC) methodology to assess greenness. Comparing the highest versus lowest exposure categories of greenness assessed using the NDVI (6 studies) or LU/LC (6 studies), we found no association with dementia. Dose-response meta-analysis of the association between greenness measured by LU/LC and dementia, based on only 3 studies, indicated a U-shaped association, but estimates were imprecise. Our systematic review and meta-analysis provided some evidence of a slight inverse association between greenness and dementia at intermediate exposure levels, but not at high levels. Potential methodological limitations, such as exposure misclassification and unmeasured confounding, may have affected the results.

摘要

目的综述

我们评估了环境绿化与痴呆症和认知障碍风险之间的关系,这是基于截至 2022 年 3 月 30 日的系统综述和荟萃分析得出的,尽可能使用剂量-反应荟萃分析来描述关联的形状。

最新发现

本综述纳入了 12 项研究,这些研究使用归一化差异植被指数 (NDVI) 或土地利用/覆盖 (LU/LC) 方法来评估绿化程度。比较使用 NDVI(6 项研究)或 LU/LC(6 项研究)评估的绿化程度的最高与最低暴露类别,我们发现与痴呆症无关。基于仅有的 3 项研究,对 LU/LC 测量的绿化程度与痴呆症之间的关联进行剂量-反应荟萃分析表明,存在 U 型关联,但估计值不精确。我们的系统综述和荟萃分析提供了一些证据,表明绿化程度与痴呆症之间存在轻度负相关,且这种关联仅出现在中等暴露水平,而不是高水平。潜在的方法学局限性,如暴露错误分类和未测量的混杂因素,可能影响了结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1c3/9729322/dbd6cd7deb0e/40572_2022_365_Fig1_HTML.jpg

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