Department of Psychiatry, University of Iowa Carver College of Medicine, 200 Hawkins Dr, RM 1873 JPP, Iowa City, IA 52242, USA.
Pediatrics. 2013 Feb;131(2):242-8. doi: 10.1542/peds.2012-0880. Epub 2013 Jan 6.
With the use of a new cohort of adolescent subjects, predictors from the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) interview and the Achenbach Youth Self Report (YSR) were combined to model age of first drink (AFD).
Subjects consisted of 820 adolescents (ages 14-17) drawn from the current phase of the Collaborative Study on the Genetics of Alcoholism. Three Cox proportional hazards models were considered. Model 1 contained SSAGA variables equivalent to AFD predictors from our previous study: interview age, family history of alcohol dependence, and number of conduct disorder symptoms. Model 2 incorporated 2 additional SSAGA questions (best friends drink and smoked a cigarette before a reported AFD) plus 8 YSR-derived scale scores. Model 3 was a reduced version of model 2, retaining only significant predictors.
Model 2 was a significant improvement over model 1. Model 3 was the best and the most parsimonious of the 3 with respect to likelihood ratio and Wald χ(2) tests and retained only 5 variables from model 2. Included variables were the following: (1) best friends drink, (2) membership in a high-risk alcohol dependence family, (3) number of conduct disorder symptoms, (4) YSR externalizing score, and (5) YSR social problems score.
Adding variables to those from our original study improved our ability to model the likely age of alcohol initiation. In addition to the SSAGA, the YSR appears to have utility as a research tool to predict the age of alcohol initiation.
利用新的青少年受试者队列,将 Semi-Structured Assessment for the Genetics of Alcoholism(SSAGA)访谈和 Achenbach Youth Self Report(YSR)中的预测因子相结合,构建预测首次饮酒年龄(AFD)的模型。
受试者包括来自当前酒精遗传合作研究阶段的 820 名青少年(年龄 14-17 岁)。考虑了三种 Cox 比例风险模型。模型 1 包含与我们之前研究中 AFD 预测因子相当的 SSAGA 变量:访谈年龄、家族史饮酒障碍和品行障碍症状数。模型 2 纳入了 2 个额外的 SSAGA 问题(最好的朋友在报告的 AFD 之前饮酒和吸烟)以及 8 个 YSR 衍生的量表得分。模型 3 是模型 2 的简化版本,仅保留显著的预测因子。
模型 2 比模型 1有显著的改进。在似然比和 Wald χ(2)检验方面,模型 3是三者中最好和最简约的,仅保留了模型 2 中的 5 个变量。纳入的变量如下:(1)最好的朋友饮酒,(2)高风险酒精依赖家族成员,(3)品行障碍症状数,(4)YSR 外化得分,和(5)YSR 社会问题得分。
在我们最初研究的变量基础上增加变量,提高了我们对可能的饮酒起始年龄进行建模的能力。除了 SSAGA,YSR 似乎也可用作预测饮酒起始年龄的研究工具。