Maternal factors predicting cognitive and behavioral characteristics of children with fetal alcohol spectrum disorders.
Maternal factors predicting cognitive and behavioral characteristics of children with fetal alcohol spectrum disorders.
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DOI：
10.1097/dbp.0b013e3182905587
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发表时间：
2013-06
期刊：
影响因子：
--
通讯作者：
Adnams CM
中科院分区：
文献类型：
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作者：
May PA;Tabachnick BG;Gossage JP;Kalberg WO;Marais AS;Robinson LK;Manning MA;Blankenship J;Buckley D;Hoyme HE;Adnams CM
目的分析胎儿酒精谱系障碍（FASD）儿童认知和行为特征的多个预测因素。采用多变量相关技术与南非社区流行病学研究的母婴数据。对561名患有胎儿酒精综合征（FAS）、部分FAS（PFAS）和非FASD的一年级儿童及其母亲的数据进行了分析，将19个母亲变量分为几类（身体、人口统计学、生育和饮酒），并采用结构方程模型（SEM）评估儿童智力（语言和非语言）和行为的相关性。第一个SEM仅利用7个母亲酒精使用变量来预测认知/行为特征具有统计学显著性（B = 3.10，p <0.05），但仅解释了17.3%的方差。第二个模型包含多个母体变量，具有统计学显著性，解释了55.3%的方差。与低智力和问题行为显著相关的是人口统计学（B = 3.83，p <0.05）（母亲受教育程度低、社会经济地位低（SES）和农村居住）和母亲身体特征（B = 2.70，p <0.05）（身材矮小、头围小和体重轻）。在最终的复杂模型中，生育史和酒精使用复合物没有统计学意义，并且被SES和母亲的身体特征压倒。虽然其他分析技术已经充分证明了母亲饮酒对智力和行为的负面影响，但这种对多种母亲影响的高度控制分析表明，母亲的人口统计学和身体特征对FASD儿童的功能有重要的促进或抑制作用。
To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASD). Multivariate correlation techniques were employed with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and employed in structural equation models (SEM) to assess correlates of child intelligence (verbal and non-verbal) and behavior. A first SEM utilizing only seven maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05), but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status (SES), and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model, and were overpowered by SES and maternal physical traits. While other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly-controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD.