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The Cumulative Risk of Chemical and Nonchemical Exposures on Birth Outcomes in Healthy Women: The Fetal Growth Study

机译:健康女性出生和出生后化学和非化学暴露的累积风险:胎儿生长研究

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摘要

Metals, stress, and sociodemographics are commonly studied separately for their effects on birth outcomes, yet often jointly contribute to adverse outcomes. This study analyzes two methods for measuring cumulative risk to understand how maternal chemical and nonchemical stressors may contribute to small for gestational age (SGA). SGA was calculated using sex-specific fetal growth curves for infants of pregnant mothers (n = 2562) enrolled in the National Institute of Child Health and Human Development (NICHD) Fetal Growth Study. The exposures (maternal lead, mercury, cadmium, Cohen’s perceived stress, Edinburgh depression scores, race/ethnicity, income, and education) were grouped into three domains: metals, psychosocial stress, and sociodemographics. In Method 1 we created cumulative risk scores using tertiles. Method 2 employed weighted quantile sum (WQS) regression. For each method, logistic models were built with three exposure domains individually and race/ethnicity, adjusting for age, parity, pregnancy weight gain, and marital status. The adjusted effect of overall cumulative risk with three domains, was also modeled using each method. Sociodemographics was the only exposure associated with SGA in unadjusted models ((odds ratio) OR: 1.35, 95% (confidence interval) CI: 1.08, 1.68). The three cumulative variables in adjusted models were not significant individually, but the overall index was associated with SGA (OR: 1.17, 95% CI: 1.02, 1.35). In the WQS model, only the sociodemographics domain was significantly associated with SGA. Sociodemographics tended to be the strongest risk factor for SGA in both risk score and WQS models.
机译:金属,压力和社会人口统计学因其对出生结局的影响而通常被单独研究,但常常共同导致不良结局。这项研究分析了两种测量累积风险的方法,以了解母亲的化学应激源和非化学应激源可能对胎龄儿(SGA)的影响。美国国立儿童健康与人类发展研究所(NICHD)胎儿生长研究使用妊娠母亲的婴儿(n = 2562),使用性别特定的胎儿生长曲线计算了SGA。暴露(母亲铅,汞,镉,科恩的感知压力,爱丁堡抑郁评分,种族/民族,收入和教育程度)分为三个领域:金属,社会心理压力和社会人口统计学。在方法1中,我们使用三分位数创建了累积风险评分。方法2采用加权分位数和(WQS)回归。对于每种方法,都分别建立了具有三个暴露域和种族/种族的逻辑模型,并针对年龄,均等,怀孕体重增加和婚姻状况进行了调整。还使用每种方法对三个领域的总体累积风险的调整后效果进行了建模。在未经调整的模型中,社会人口统计学是唯一与SGA相关的暴露((赔率)OR:1.35,95%(置信区间)CI:1.08,1.68)。调整后的模型中的三个累积变量分别不显着,但总体指数与SGA相关(OR:1.17,95%CI:1.02,1.35)。在WQS模型中,只有社会人口学领域与SGA显着相关。在人口风险评分和WQS模型中,社会人口统计学往往是SGA的最强风险因素。

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