Schuckit Marc A, Smith Tom L, Pierson Juliann, Danko George P, Allen Rhonda C, Kreikebaum Sara
Department of Psychiatry (116A), University of California, San Diego, and the VA San Diego Healthcare System, San Diego, CA 92161-2002, USA.
Alcohol Clin Exp Res. 2007 Oct;31(10):1681-91. doi: 10.1111/j.1530-0277.2007.00465.x. Epub 2007 Jul 25.
The decision among young people to drink is complex and reflects multiple domains of influence. This paper applies the results from a previous test of an externalizing-based model predicting heavy drinking and alcohol problems in the probands from the San Diego Prospective Study to evaluate how similar characteristics relate to the decision to drink in their offspring.
Data were generated from multiple sources for 152 offspring with a mean age of 17.2 years. Information on the family histories, personal alcohol and other substance use, socioeconomic stratum, the child's gestational problems, and additional characteristics were gathered from face-to-face interviews with a parent approximately every 5 years between their mid-20s and mid-40s. Data regarding the drinking status and additional variables applicable to the offspring were extracted from the 25-year (T25) epoch of the family evaluations using data supplied directly by the offspring. The relationships of variables to the drinking status in that generation were determined through correlations, regression analyses, and an AMOS-based structural equation model (SEM).
Significant correlations to the drinking status in offspring were observed for age, but not for sex. Using age-adjusted backgrounds and data supplied by the offspring at T25, the most robust correlations to the drinking status were seen for a disinhibition measure, peer drinking, expectations of the effects of alcohol, and the history of having worked outside the home. When placed into an SEM, the former 3 variables performed in a manner similar to that observed in the original probands in the prediction of the drinking status, in a model with good fit characteristics.
These data from a prospective study support the importance of similar domains across 2 generations in characterizing age-appropriate alcohol-related outcomes.
年轻人饮酒的决定很复杂,反映了多个影响领域。本文应用先前基于外化模型的测试结果,该模型预测了圣地亚哥前瞻性研究中先证者的重度饮酒和酒精问题,以评估相似特征如何与他们后代的饮酒决定相关。
从多个来源收集了152名平均年龄为17.2岁的后代的数据。通过在其25岁中期至40岁中期大约每5年与一位家长进行的面对面访谈,收集了家族史、个人饮酒及其他物质使用情况、社会经济阶层、孩子的孕期问题以及其他特征的信息。关于后代饮酒状况及其他适用变量的数据,是从家庭评估的25年(T25)阶段中提取的,这些数据由后代直接提供。通过相关性分析、回归分析以及基于AMOS的结构方程模型(SEM),确定了变量与该代人饮酒状况之间的关系。
观察到年龄与后代饮酒状况存在显著相关性,而性别则无此相关性。使用年龄调整后的背景以及后代在T25时提供的数据,与饮酒状况相关性最强的是去抑制测量、同伴饮酒、对酒精作用的预期以及外出工作经历。将前3个变量放入SEM中时,在一个拟合良好的模型中,它们在预测饮酒状况方面的表现与原始先证者中观察到的情况相似。
这项前瞻性研究的数据支持了在两代人之间相似领域对于表征与年龄相符的酒精相关结果的重要性。