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意大利绿化对死亡率的影响。

The mortality impacts of greening Italy.

作者信息

Giannico Orazio Valerio, Sardone Rodolfo, Bisceglia Lucia, Addabbo Francesco, Pirotti Francesco, Minerba Sante, Mincuzzi Antonia

机构信息

Urban Health Center, House of Innovation for One Health, Taranto, Italy.

Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy.

出版信息

Nat Commun. 2024 Dec 1;15(1):10452. doi: 10.1038/s41467-024-54388-7.

DOI:10.1038/s41467-024-54388-7
PMID:39617806
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11609287/
Abstract

Green spaces have been shown to be beneficial to humans, but quantifying these benefits is a challenge for epidemiology. In this health impact assessment study, we exploit satellites to estimate for the whole of Italy the number of deaths that could be prevented in the 49 million adult population by greening residential areas. The exposure was assessed by calculating the normalized difference vegetation index at 10-m resolution within a 300-m distance from homes in 7904 municipalities. In this study we estimate, by achieving nationwide the level of residential greenness currently reached by the 25% of the population, a total of 28,433 (95% confidence interval: 21,400-42,350) preventable deaths and 279,324 (210,247-415,980) preventable years of life lost in Italy in 2022, representing the 5% of the total mortality burden. More green means fewer deaths, thus strong action is needed to increase the amount and accessibility of green spaces in all human settlements.

摘要

已有研究表明,绿地对人类有益,但量化这些益处对流行病学来说是一项挑战。在这项健康影响评估研究中,我们利用卫星估算了在意大利全国范围内,通过绿化居民区,4900万成年人口中可预防的死亡人数。通过计算7904个市镇中距离住宅300米范围内10米分辨率的归一化植被指数来评估暴露情况。在本研究中,我们估计,如果在全国范围内实现目前25%的人口所达到的住宅绿化水平,2022年意大利总共可预防28433例死亡(95%置信区间:21400 - 42350),以及279324例(210247 - 415980)可预防的生命年损失,占总死亡负担的5%。绿化程度越高意味着死亡人数越少,因此需要采取有力行动,增加所有人类住区的绿地数量和可达性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/fc323ea5b93c/41467_2024_54388_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/cc9c1efef840/41467_2024_54388_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/8782dcb6abbe/41467_2024_54388_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/079552fd4038/41467_2024_54388_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/fc323ea5b93c/41467_2024_54388_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/cc9c1efef840/41467_2024_54388_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/8782dcb6abbe/41467_2024_54388_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/079552fd4038/41467_2024_54388_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c6b/11609287/fc323ea5b93c/41467_2024_54388_Fig4_HTML.jpg

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本文引用的文献

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[The mortality cost of carbon dioxide emissions from a steel plant in Southern Italy: a climate change health impact assessment].[意大利南部一家钢铁厂二氧化碳排放的死亡成本:气候变化对健康的影响评估]
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Environmental health impacts and inequalities in green space and air pollution in six medium-sized European cities.欧洲六个中等城市绿地与空气污染对环境健康的影响及不平等现象。
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Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study.
全球每日环境细颗粒物浓度估计值及其人口暴露的不平等时空分布:机器学习建模研究。
Lancet Planet Health. 2023 Mar;7(3):e209-e218. doi: 10.1016/S2542-5196(23)00008-6.
4
[SENTIERI Project: air pollution and health impact of population living in industrial areas in Italy].[SENTIERI项目:意大利工业区居民的空气污染与健康影响]
Epidemiol Prev. 2023 Jan-Apr;47(1-2 Suppl 1):338-353. doi: 10.19191/EP23.1-2-S1.007.
5
Long-term exposure to residential green spaces and site-specific cancer mortality in urban Belgium: A 13-year follow-up cohort study.比利时城市长期接触居住绿地与特定部位癌症死亡率:一项13年随访队列研究。
Environ Int. 2022 Dec;170:107571. doi: 10.1016/j.envint.2022.107571. Epub 2022 Oct 6.
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Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: Introducing the 3-30-300 rule.打造更绿色、更健康、更具韧性社区的循证指南:引入3-30-300规则。
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