Bandoli G, Kable J A, Coles C D, Del Campo M, Suttie M, Chambers C D
Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA.
Department of Psychiatry, Emory University, Atlanta, GA 30322, USA.
Drug Alcohol Depend. 2022 Apr 1;233:109351. doi: 10.1016/j.drugalcdep.2022.109351. Epub 2022 Feb 11.
To characterize patterns of prenatal alcohol exposure (PAE), and determine whether PAE trajectories were associated with behavior from a community-based sample of first-grade children.
Using data collected as part of the Collaboration of Fetal Alcohol Spectrum Disorders Prevalence study (n = 1663), we performed longitudinal cluster analysis on prenatal alcohol use reported for four time points around conception and pregnancy. From the sample, 638 respondents reported any alcohol use in pregnancy and were included in trajectories for average daily and maximum drinks per drinking day (max DDD). We then estimated the association with behavioral problems measured by the Child Behavior Checklist (CBCL) and Teacher Report Form (TRF) with multivariable linear regression. The reference group had 1025 children with no reported PAE.
Five trajectories were selected to describe max DDD patterns: very low/discontinuing (n = 186), low/discontinuing (n = 111), very low/continuing (n = 47), med/high (n = 245), and high (n = 49). Six trajectories best described average daily alcohol use: very low/discontinuing (n = 378), very low/continuing (n = 98), low/continuing (n = 56), low/discontinuing (n = 37), medium/high (n = 35), and high (n = 31). When assessing max DDD trajectories for both the CBCL and TRF, individuals with PAE in the two highest trajectories and the very low/continuing trajectory had more behavioral problems relative to children with no PAE, although confidence intervals for most estimates included the null. PAE modeled as average drinks per day did not predict behavior in any consistent pattern.
In this community-based sample, select PAE trajectories were associated with behavior, even at relatively low levels of PAE that continued later in gestation.
描述产前酒精暴露（PAE）模式，并确定PAE轨迹是否与来自社区的一年级儿童样本的行为相关。
利用作为胎儿酒精谱系障碍患病率合作研究的一部分收集的数据（n = 1663），我们对受孕和孕期前后四个时间点报告的产前酒精使用情况进行了纵向聚类分析。在样本中，638名受访者报告在孕期有任何酒精使用，并被纳入平均每日饮酒量和每个饮酒日最大饮酒量（max DDD）的轨迹分析。然后，我们通过多变量线性回归估计与儿童行为检查表（CBCL）和教师报告表（TRF）测量的行为问题之间的关联。参照组有1025名未报告PAE的儿童。
选择了五条轨迹来描述max DDD模式：极低/停止（n = 186）、低/停止（n = 111）、极低/持续（n = 47）、中/高（n = 245）和高（n = 49）。六条轨迹最能描述平均每日酒精使用情况：极低/停止（n = 378）、极低/持续（n = 98）、低/持续（n = 56）、低/停止（n = 37）、中/高（n = 35）和高（n = 31）。在评估CBCL和TRF的max DDD轨迹时，处于两条最高轨迹和极低/持续轨迹的PAE个体比无PAE的儿童有更多行为问题，尽管大多数估计的置信区间包括无效值。以平均每日饮酒量为模型的PAE未能以任何一致模式预测行为。
在这个基于社区的样本中，即使在孕期后期持续存在的相对较低水平的PAE下，特定的PAE轨迹也与行为相关。
