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Evaluation of a level of response to alcohol-based structural equation model in adolescents.

机译:评估青少年对基于酒精的结构方程模型的反应水平。

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OBJECTIVE: A low level of response (LR) to alcohol relates to a family history of alcoholism and predicts future heavier drinking and alcohol-related problems. The current analyses evaluate how LR functions within the context of a Social Information Processing Model, using 238 subjects aged 13 to 19 years from the Collaborative Study on the Genetics of Alcoholism (COGA). METHOD: A structural equation model (SEM) was used to evaluate the relationship among (1) a family history (FH) of alcoholism, (2) the LR to alcohol, (3) expectations as measured by the Alcohol Expectancy Questionnaire and (4) the recent pattern of drinking among parents in the home as predictors of the maximum recent quantity of drinking, the maximum number of drinks ever consumed in 24 hours and the number of alcohol problems in the teenage subjects. RESULTS: When tested in the SEM, LR functioned as a mediator of the relationship between an FH of alcoholism and alcoholic outcome, and expectancy functioned as a partial mediator of therelationship between LR and outcome. Invariance testing revealed that the SEM performed similarly in light and heavy drinkers, the two sexes, and older versus young subjects. Both the measurement model and SEM had good characteristics of fit, and direct paths within the model explained 49% of the variance of outcome. CONCLUSIONS: Consistent with results from the San Diego Prospective Study, when tested in the more heterogeneous COGA population, LR functioned as a mediator of the relationship between the FH and alcoholic outcome. In these adolescents, LR not only had a direct relationship to alcoholic outcome but, in contrast to prior results in adults, also appeared to operate through expectations of the effects of alcohol in predicting heavier drinking and a higher rate of alcohol-related problems among teenagers.
机译:目的:对酒精的低应答(LR)与酒精中毒的家族病史有关,并预测将来会出现酗酒和与酒精相关的问题。当前的分析使用来自酒精中毒遗传学合作研究(COGA)的238名年龄在13至19岁之间的238名受试者,评估了LR如何在社会信息处理模型的背景下发挥作用。方法:使用结构方程模型(SEM)来评估(1)酒精中毒的家族史(FH),(2)酒精中毒的LR,(3)通过酒精期望问卷调查得出的期望和(4)之间的关系)家庭中父母最近的饮酒方式可预测最近的最大饮酒量,24小时内曾经喝过的最大酒量以及青少年对象中的酗酒问题。结果:当在SEM中进​​行测试时,LR充当酒精中毒FH与酒精性结果之间关系的中介者,而期望则充当LR与结果之间关系的部分中介者。不变性测试表明,SEM在轻度和重度饮酒者,两个性别以及年龄较大与年轻的受试者中表现相似。测量模型和SEM都具有良好的拟合特征,模型中的直接路径解释了结果差异的49%。结论:与圣地亚哥前瞻性研究的结果一致,当在更具异质性的COGA人群中进行测试时,LR发挥了FH与酒精性结果之间关系的中介作用。在这些青少年中,LR不仅与饮酒的结果有直接关系,而且与成年人以前的结果相反,它似乎也是通过预期酒精对预测饮酒的影响以及青少年中与酒精相关的问题发生率更高而起作用的。

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