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孕期和 2000-2017 年全国队列出生体重接触交通密度。

Exposure to Traffic Density during Pregnancy and Birth Weight in a National Cohort, 2000-2017.

机构信息

Department of Preventive Medicine, Hospital Central de la Cruz Roja, 28003 Madrid, Spain.

Barcelona Institute for Global Health (ISGlobal), 08003 Barcelona, Spain.

出版信息

Int J Environ Res Public Health. 2022 Jul 15;19(14):8611. doi: 10.3390/ijerph19148611.

DOI:10.3390/ijerph19148611
PMID:35886463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9318762/
Abstract

The variation on birth weight is associated with several outcomes early on in life and low birth weight (LBW) increases the risk of morbidity and mortality. Some environmental exposures during pregnancy, such as particulate matters and other traffic-related pollutants can have a significant effect on pregnant women and fetuses. The aim of this study is to estimate the effect of exposure to traffic density during pregnancy over birth weight in Spain, from 2000-2017. This was a retrospective, cross-sectional study using the information from Spain Birth Registry Statistics database. The traffic density was measured using the Annual average daily traffic. Multivariate linear regression models using birth weight and traffic density were performed, as well as a logistic regression model to estimated Odds ratios for LBW and GAM models to evaluate the non-linear effect. Our findings showed that increases in traffic density were associated with reduction of birth weight and increases of LBW risk. Moreover, exposure to high and very-high traffic-density during pregnancy were associated with reduction of birth weight and increase on LBW risk comparing with exposure to low number of cars trespassing the neighborhoods. The results of this study agree with previous literature and highlights the need of effective policies for reducing traffic density in residential neighborhoods of cities and towns.

摘要

出生体重的差异与生命早期的几个结果有关,低出生体重(LBW)会增加发病率和死亡率的风险。孕妇在怀孕期间接触到的一些环境污染物,如颗粒物和其他与交通有关的污染物,会对孕妇和胎儿产生重大影响。本研究的目的是估计 2000 年至 2017 年期间,西班牙孕妇在怀孕期间接触交通密度对出生体重的影响。这是一项回顾性、横断面研究,使用了西班牙出生登记统计数据库中的信息。交通密度使用年平均日交通量来衡量。使用出生体重和交通密度进行了多元线性回归模型分析,还进行了逻辑回归模型以估计 LBW 的比值比和 GAM 模型以评估非线性效应。我们的研究结果表明,交通密度的增加与出生体重的降低和 LBW 风险的增加有关。此外,与接触低数量的汽车穿越社区相比,孕妇在怀孕期间接触高和极高交通密度与出生体重降低和 LBW 风险增加有关。本研究结果与先前的文献一致,强调需要采取有效的政策来降低城镇居民区的交通密度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/9318762/d5fddd2c2c9a/ijerph-19-08611-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/9318762/372d5fe09ceb/ijerph-19-08611-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/9318762/d5fddd2c2c9a/ijerph-19-08611-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/9318762/372d5fe09ceb/ijerph-19-08611-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/9318762/d5fddd2c2c9a/ijerph-19-08611-g002.jpg

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J Environ Sci (China). 2023 Feb;124:513-521. doi: 10.1016/j.jes.2021.11.038. Epub 2022 Feb 23.
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COVID-19 lockdown as an opportunity to rethink urban freight distribution: Lessons from the Barcelona metropolitan area.将新冠疫情封锁视为重新思考城市货运配送的契机:来自巴塞罗那大都市区的经验教训。
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