Kramer John R, Chan Grace, Dick Danielle M, Kuperman Samuel, Bucholz Kathleen K, Edenberg Howard J, Polgreen Linnea A, Hesselbrock Victor M, Schuckit Marc A, Nurnberger John I, Kapp Ellen S, Porjesz Bernice, Bierut Laura J
Department of Psychiatry, Medical Education Building, University of Iowa School of Medicine, 500 Newton Road, Iowa City, Iowa 52242-1000, USA.
J Stud Alcohol Drugs. 2008 Sep;69(5):649-59. doi: 10.15288/jsad.2008.69.649.
The goal of this study was to identify predictors of problematic young adult alcohol use.
The sample consisted of 141 subjects (81 females) participating in a national study of genetic risk factors for alcoholism. All subjects were evaluated first as children or adolescents, then approximately 5 years later as young adults. Outcome consisted of the number of alcohol symptoms (0-10) endorsed at this second time point. Predictors of outcome were drawn from five domains representing: (1) Demographic Characteristics, (2) Child/Adolescent Problematic Alcohol Use, (3) Biological Risk, (4) Externalizing Behaviors, and (5) Family Environment. A two-stage analytic strategy was used in which (1) separate multiple regression analyses were conducted within each of the five domains and (2) statistically significant predictors of problematic alcohol use from each domain were combined into one regression model to determine which remained significant.
In the final model, 31% of the variance in the number of alcohol symptoms in young adulthood was predicted by a high number of alcohol symptoms in childhood and adolescence, low initial sensitivity to alcohol, and a negative child/adolescent relationship with the father.
These results demonstrated that GABRA2--originally associated with a diagnosis of alcohol dependence in adults--also predicted the onset of symptoms among subjects in their 20s, confirmed specific hypotheses about three other predictors in the fi nal model, and suggested the utility of incorporating biological and nonbiological predictors to optimally predict young adult alcohol problems.
本研究的目的是确定年轻成年人酒精使用问题的预测因素。
样本包括141名受试者(81名女性),他们参与了一项关于酒精中毒遗传风险因素的全国性研究。所有受试者首先在儿童或青少年时期接受评估,然后在大约5年后作为年轻成年人再次接受评估。结果变量为在第二个时间点认可的酒精症状数量(0 - 10)。预测因素来自五个领域,分别代表:(1)人口统计学特征,(2)儿童/青少年酒精使用问题,(3)生物风险,(4)外化行为,以及(5)家庭环境。采用两阶段分析策略,其中(1)在五个领域中的每个领域内分别进行多元回归分析,(2)将每个领域中酒精使用问题的统计学显著预测因素合并到一个回归模型中,以确定哪些因素仍然显著。
在最终模型中,童年和青少年时期大量的酒精症状、对酒精的低初始敏感性以及儿童/青少年与父亲的负面关系,预测了年轻成年期酒精症状数量变异的31%。
这些结果表明,最初与成人酒精依赖诊断相关的GABRA2,也预测了20多岁受试者中症状的出现,证实了最终模型中关于其他三个预测因素的特定假设,并表明纳入生物和非生物预测因素以最佳预测年轻成年人酒精问题的效用。