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巴西三边交界地区腹裂症高发:社会环境空间分析。

High prevalence of gastroschisis in Brazilian triple side border: A socioenvironmental spatial analysis.

机构信息

Federal University for Latin-American Integration, Latin-American Institute for Life and Nature Sciences, Foz do Iguassu, Paraná, Brazil.

State University of West Paraná, Foz do Iguassu, Paraná, Brazil.

出版信息

PLoS One. 2021 Feb 26;16(2):e0247863. doi: 10.1371/journal.pone.0247863. eCollection 2021.

DOI:10.1371/journal.pone.0247863
PMID:33635898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7909679/
Abstract

This research investigated the spatial association between socioenvironmental factors and gastroschisis in Brazilian triple side border. A geographic analysis for gastroschisis prevalence was performed considering census sector units using Global Moran Index, Local Indicator of Spatial Association Analysis and Getis Ord statistics. Sociodemographic factors included rate of adolescent and parturients over 35 years; population with no income and above 5 minimum wages; rate of late prenatal; and proximity to power transmission lines. Logistic regression models were applied to verify the association between socio-environmental factors and prevalence of gastroschisis. No global spatial correlation was observed in the distribution of gastroschisis (Moran´s I = 0.006; p = 0.319). However, multiple logistic regression showed census sectors with positive cases had higher probability to power transmission lines proximity (OR 3,47; CI 95% 1,11-10,79; p = 0,031). Yet, spatial scan statistic showed low risk for gastroschisis in southern city region (OR = 0; p = 0.035) in opposite to power transmission lines location. The study design does not allow us to attest the causality between power transmission lines and gastroschisis but these findings support the potential exposure risk of pregnant to electromagnetic fields.

摘要

这项研究调查了巴西三侧边境地区社会环境因素与腹裂之间的空间关联。使用全局 Moran 指数、局部空间关联分析和 Getis Ord 统计量,对包含社会人口因素(青少年和 35 岁以上产妇比例、无收入或超过 5 个最低工资人群比例、产前检查延迟比例)的普查区单位的腹裂患病率进行了地理分析。逻辑回归模型被用于验证社会环境因素与腹裂患病率之间的关联。腹裂的分布未观察到全局空间相关性(Moran's I = 0.006;p = 0.319)。然而,多元逻辑回归显示,阳性病例所在的普查区更接近输电线的可能性更高(OR 3.47;95%CI 1.11-10.79;p = 0.031)。然而,空间扫描统计显示南部城市地区腹裂的风险较低(OR = 0;p = 0.035),与输电线的位置相反。研究设计不允许我们证明输电线和腹裂之间的因果关系,但这些发现支持了孕妇暴露于电磁场的潜在风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/96807894e0ad/pone.0247863.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/8fd55868c4fb/pone.0247863.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/58ab73c46890/pone.0247863.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/02739ea8fca0/pone.0247863.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/96807894e0ad/pone.0247863.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/8fd55868c4fb/pone.0247863.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/58ab73c46890/pone.0247863.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/02739ea8fca0/pone.0247863.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/269f/7909679/96807894e0ad/pone.0247863.g004.jpg

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