Suppr超能文献

生育力研究中的环境空气污染暴露评估:系统综述及给生殖流行病学家的指南

Ambient air pollution exposure assessments in fertility studies: A systematic review and guide for reproductive epidemiologists.

作者信息

Jahnke Johanna R, Messier Kyle P, Lowe Melissa, Jukic Anne Marie

机构信息

Fertility and Reproductive Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, USA.

Spatiotemporal Health Analytics Group, Predictive Toxicology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina, USA.

出版信息

Curr Epidemiol Rep. 2022 Jun;9(2):87-107. doi: 10.1007/s40471-022-00290-z. Epub 2022 May 13.

Abstract

PURPOSE OF REVIEW

We reviewed the exposure assessments of ambient air pollution used in studies of fertility, fecundability, and pregnancy loss.

RECENT FINDINGS

Comprehensive literature searches were performed in the PUBMED, Web of Science, and Scopus databases. Of 168 total studies, 45 met the eligibility criteria and were included in the review. We find that 69% of fertility and pregnancy loss studies have used one-dimensional proximity models or surface monitor data, while only 35% have used the improved models, such as land-use regression models (4%), dispersion/chemical transport models (11%), or fusion models (20%). No published studies have used personal air monitors.

SUMMARY

While air pollution exposure models have vastly improved over the past decade from simple, one-dimensional distance or air monitor data, to models that incorporate physiochemical properties leading to better predictive accuracy, precision, and increased spatiotemporal variability and resolution, the fertility literature has yet to fully incorporate these new methods. We provide descriptions of each of these air pollution exposure models and assess the strengths and limitations of each model, while summarizing the findings of the literature on ambient air pollution and fertility that apply each method.

摘要

综述目的

我们回顾了在生育力、受孕能力和妊娠丢失研究中所采用的环境空气污染暴露评估方法。

最新发现

我们在PubMed、科学网和Scopus数据库中进行了全面的文献检索。在总共168项研究中,45项符合纳入标准并被纳入综述。我们发现,69%的生育力和妊娠丢失研究使用了一维邻近模型或地面监测数据,而只有35%的研究使用了改进模型,如土地利用回归模型(4%)、扩散/化学传输模型(11%)或融合模型(20%)。尚无已发表的研究使用个人空气监测仪。

总结

虽然在过去十年中,空气污染暴露模型已从简单的一维距离或空气监测数据,大幅改进为纳入物理化学特性从而具有更高预测准确性、精度,并增加时空变异性和分辨率的模型,但生育力相关文献尚未充分纳入这些新方法。我们描述了每种空气污染暴露模型,并评估了每种模型的优缺点,同时总结了应用每种方法的关于环境空气污染与生育力的文献研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6168/9229606/87c6c3d4dcb3/nihms-1810788-f0001.jpg

相似文献

本文引用的文献

1
Using Street View Imagery to Predict Street-Level Particulate Air Pollution.利用街景图像预测街道级别的颗粒物空气污染。
Environ Sci Technol. 2021 Feb 16;55(4):2695-2704. doi: 10.1021/acs.est.0c05572. Epub 2021 Feb 4.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验