Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20037, United States.
Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Am J Epidemiol. 2024 Jun 3;193(6):917-925. doi: 10.1093/aje/kwae014.
Few methods have been used to characterize repeatedly measured biomarkers of chemical mixtures. We applied latent profile analysis (LPA) to serum concentrations of 4 perfluoroalkyl and polyfluoroalkyl substances (PFAS) measured at 4 time points from gestation to age 12 years. We evaluated the relationships between profiles and z scores of height, body mass index, fat mass index, and lean body mass index at age 12 years (n = 218). We compared LPA findings with an alternative approach for cumulative PFAS mixtures using g-computation to estimate the effect of simultaneously increasing the area under the receiver operating characteristic curve (AUC) for all PFAS. We identified 2 profiles: a higher PFAS profile (35% of sample) and a lower PFAS profile (relative to each other), based on their average PFAS concentrations at all time points. The higher PFAS profile had generally lower z scores for all outcomes, with somewhat larger effects for males, though all 95% CIs crossed the null. For example, the higher PFAS profile was associated with a 0.50-unit lower (β = -0.50; 95% CI, -1.07 to 0.08) BMI z score among males but not among females (β = 0.04; 95% CI, -0.45 to 0.54). We observed similar patterns with AUCs. We found that a higher childhood PFAS profile and higher cumulative PFAS mixtures may be associated with altered growth in early adolescence. This article is part of a Special Collection on Environmental Epidemiology.
尚未有方法用于描述重复测量的化学混合物生物标志物。我们应用潜在剖面分析(LPA),对 4 次测量的妊娠至 12 岁血清中 4 种全氟和多氟烷基物质(PFAS)浓度进行分析。我们评估了各剖面与 12 岁时身高 z 评分、体重指数、脂肪质量指数和瘦体重指数 z 评分之间的关系(n=218)。我们将 LPA 结果与使用 g 计算估计所有 PFAS 曲线下面积(AUC)同时增加的累积 PFAS 混合物的替代方法进行了比较。我们根据所有时间点的平均 PFAS 浓度,确定了 2 个剖面:高 PFAS 剖面(占样本的 35%)和低 PFAS 剖面(相对而言)。高 PFAS 剖面的所有结局 z 评分普遍较低,男性的影响略大,但所有 95%CI 均跨越零界值。例如,高 PFAS 剖面与男性 BMI z 评分降低 0.50 单位(β=-0.50;95%CI,-1.07 至 0.08)相关,但与女性 BMI z 评分无关(β=0.04;95%CI,-0.45 至 0.54)。我们在 AUC 中观察到类似的模式。我们发现,儿童时期 PFAS 水平较高和累积 PFAS 混合物较高,可能与青春期早期生长变化有关。本文是环境流行病学特刊的一部分。