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估算马萨诸塞州城市居民自然和人为环境暴露对出生体重的综合影响。

Estimating the Combined Effects of Natural and Built Environmental Exposures on Birthweight among Urban Residents in Massachusetts.

机构信息

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA.

出版信息

Int J Environ Res Public Health. 2020 Nov 27;17(23):8805. doi: 10.3390/ijerph17238805.

Abstract

Intrauterine growth has health implications both in childhood and adulthood. Birthweight is partially determined by prenatal environmental exposures. We aim to identify important predictors of birthweight out of a set of environmental, built environment exposures, and socioeconomic environment variables during pregnancy (i.e., fine particulate matter (PM), temperature, greenness, walkability, noise, and economic indices). We included all singleton live births of mothers who resided in urban census block-groups and delivered in Massachusetts between 2001 and 2011 ( = 640,659). We used an elastic-net model to select important predictors of birthweight and constructed a multivariate model including the selected predictors, with adjustment for confounders. We additionally used a weighted quantile sum regression to assess the contribution of each exposure to differences in birthweight. All exposures were selected as important predictors of birthweight. In the multivariate model, lower birthweight was significantly associated with lower greenness and with higher temperature, walkability, noise, and segregation of the "high income" group. Treating the exposures individually, nighttime noise had the highest weight in its contribution to lower birthweight. In conclusion, after accounting for individual confounders, maternal environmental exposures, built environment exposures, and socioeconomic environment during pregnancy were important predictors of birthweight, emphasizing the role of these exposures in fetal growth and development.

摘要

宫内生长对儿童期和成年期的健康都有影响。出生体重部分取决于产前环境暴露。我们的目的是从一组环境、建筑环境暴露和妊娠期间的社会经济环境变量(即细颗粒物 (PM)、温度、绿化、可步行性、噪声和经济指数)中确定出生体重的重要预测因素。我们纳入了 2001 年至 2011 年间居住在马萨诸塞州城市普查街区并在该州分娩的所有单胎活产母亲(=640659 例)。我们使用弹性网络模型选择出生体重的重要预测因素,并构建了一个包含选定预测因素的多变量模型,同时调整了混杂因素。我们还使用加权分位数和回归来评估每个暴露因素对出生体重差异的贡献。所有暴露因素均被选为出生体重的重要预测因素。在多变量模型中,较低的出生体重与较低的绿化水平以及较高的温度、可步行性、噪声和“高收入”群体的隔离度显著相关。单独对待这些暴露因素时,夜间噪声对较低出生体重的贡献权重最高。总之,在考虑到个体混杂因素后,母亲在妊娠期间的环境暴露、建筑环境暴露和社会经济环境是出生体重的重要预测因素,这强调了这些暴露因素在胎儿生长和发育中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9467/7731163/aea9c9c18f3d/ijerph-17-08805-g001.jpg

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