Suppr超能文献

居民区与输电线的距离与一般人群患脑瘤的风险。

Residential proximity to power lines and risk of brain tumor in the general population.

机构信息

Univ. Bordeaux, INSERM UMR 1219, Equipe EPICENE, F33000, Bordeaux, France; CHU de Bordeaux, Service de Médecine du Travail et pathologie professionnelle, F33000, Bordeaux, France.

CHU, Toulouse, France; UMR 1027, Université Paul Sabatier III, Inserm, Toulouse, France.

出版信息

Environ Res. 2020 Jun;185:109473. doi: 10.1016/j.envres.2020.109473. Epub 2020 Apr 4.

Abstract

The effect of ELF-MF on human health is still controversial, particularly as regards long-term health effects like cancer. The literature does suggest, however, that they could be involved in the occurrence of brain tumors, although results concerning residential exposure are scarce. Our objective was to investigate the association between residential proximity to power lines and brain tumors among adults in France by using a geographical information system.CERENAT is a population-based case-control study carried out in France in 2004-2006. We used geographical data sources on power line location to create exposure scores based on distance between residence and power lines, and on the number of lines near residences. Conditional logistic regression for matched sets was used to estimate Odds Ratios (ORs) and 95% confidence intervals (95%CI).We found significant associations between cumulated duration living at <50 m to high voltage lines and: i) all brain tumors (OR 2.94; 95%CI 1.28-6.75); ii) glioma (OR 4.96; 95%CI 1.56-15.77). Further investigations are needed, particularly to improve the quality and availability of geographical and technical data on power lines.

摘要

ELF-MF 对人类健康的影响仍存在争议,特别是长期健康影响,如癌症。然而,文献表明,它们可能与脑瘤的发生有关,尽管关于居住环境暴露的结果很少。我们的目的是通过使用地理信息系统,研究法国成年人居住在输电线附近与脑瘤之间的关系。CERENAT 是 2004-2006 年在法国进行的一项基于人群的病例对照研究。我们利用有关输电线位置的地理数据源,根据居住地与输电线之间的距离以及居住地附近的输电线数量,创建了暴露评分。使用条件逻辑回归进行匹配组分析,以估计比值比(OR)和 95%置信区间(95%CI)。我们发现居住在 50 米以内的高压线下的累积时间与以下因素之间存在显著关联:i)所有脑肿瘤(OR 2.94;95%CI 1.28-6.75);ii)神经胶质瘤(OR 4.96;95%CI 1.56-15.77)。需要进一步调查,特别是要提高有关输电线的地理和技术数据的质量和可用性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验