Grant B F, Harford T C
Division of Biometry and Epidemiology, National Institute on Alcohol Abuse and Alcoholism, Rockville, Maryland 20857.
J Stud Alcohol. 1990 Sep;51(5):448-56. doi: 10.15288/jsa.1990.51.448.
The purpose of this investigation was to quantify the relationship between ethanol consumption and DSM-III-R alcohol dependence using mathematical modeling techniques that allowed for the control of confounding and assessment of interaction. Although sex, education, ethnicity and marital status were not identified as actual confounders in the logistic regression model, the ethanol intake-dependence association was stronger among younger as opposed to older respondents. For 20 year olds, the average log odds for dependence increased .62 for each additional ounce of ethanol consumed daily, while the corresponding increase in risk among 60 year olds was .26. Implications of these results are discussed in terms of age differences in drinking patterns and differential social control of drinking behavior. Separate analyses in which aggregates of the alcohol dependence criteria served as outcome measures helped qualify the interpretation of the overall ethanol intake-dependence relationship. The need to examine components of global classifications of alcohol dependence using better operationalizations is highlighted.
本研究的目的是使用数学建模技术量化乙醇摄入量与《精神疾病诊断与统计手册》第三版修订本（DSM-III-R）中酒精依赖之间的关系，该技术能够控制混杂因素并评估相互作用。尽管在逻辑回归模型中，性别、教育程度、种族和婚姻状况未被确定为实际的混杂因素，但乙醇摄入量与酒精依赖之间的关联在年轻受访者中比在年长受访者中更强。对于20岁的人来说，每日每多摄入一盎司乙醇，酒精依赖的平均对数优势增加0.62，而对于60岁的人来说，相应的风险增加为0.26。从饮酒模式的年龄差异和饮酒行为的不同社会控制方面讨论了这些结果的意义。以酒精依赖标准的总和作为结果指标的单独分析有助于对整体乙醇摄入量与酒精依赖关系的解释进行限定。强调了使用更好的操作化方法来检查酒精依赖全球分类组成部分的必要性。
