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Examining the Relationship Between Low Birth Weight Occurrence and Passive Measures of Environmental Arsenic by Census Tract in Escambia and Santa Rosa Counties Florida

机译:通过埃斯坎比亚和佛罗里达州圣罗莎县的人口普查研究低出生体重的发生与环境砷的被动测量之间的关系

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摘要

Arsenic is a public health concern because of its widespread distribution and high toxicity, even when doses are small. Low birth weight (LBW) occurrence, birth weights less than 2500 g, may be associated with prenatal exposure of arsenic from environmental factors and consuming contaminated drinking water and food. The objective of this study was to examine whether mothers living in areas of Escambia and Santa Rosa counties with varying levels of background arsenic in surface soil and water were associated with the occurrence of LBW. Inverse distance weight in ArcGIS was used to interpolate arsenic concentrations from environmental samples and estimate arsenic concentrations by census tracts in the two counties. After excluding multiple births and displaced geocoding addresses, birth data were obtained for the years of 2005 (n = 5845), 2010 (n = 5569), and 2015 (n = 5770) from the Bureau of Vital Statistics at the Florida Department of Health to assess temporal differences. Generalized linear models were used to analyze and compare the association between child and maternal demographic information, socioeconomic characteristics, and the environmental estimates of arsenic with LBW. No significant association was found between environmental arsenic concentration and LBW, suggesting that environmental contamination of the pregnant mother’s census tract may not be a useful proxy in assessing risk for LBW.
机译:砷是一种公共卫生问题,因为即使剂量很小,它的广泛分布和高毒性。低出生体重(LBW)发生,出生体重小于2500 g可能与产前因环境因素接触砷以及食用受污染的饮用水和食物有关。这项研究的目的是检查生活在埃斯坎比亚和圣罗莎县地区的母亲在地表土壤和水中的背景砷水平不同是否与LBW的发生有关。在ArcGIS中,反距离权重用于对环境样本中的砷浓度进行插值,并根据两个县的人口普查数据估算砷浓度。在排除多胎出生和流离失所的地理编码地址之后,从佛罗里达卫生部生命统计局获得了2005年(n = 5845),2010年(n = 5569)和2015年(n = 5770)的出生数据。评估时间差异。使用广义线性模型来分析和比较儿童和产妇的人口统计学信息,社会经济特征以及低出生体重儿童砷的环境估计值之间的关联。没有发现环境砷浓度与LBW之间存在显着相关性,这表明怀孕母亲的普查道的环境污染可能不是评估LBW风险的有用替代。

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