Alternative measures and models of hazardous consumption

Deborah A Dawson
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引用次数: 23

Abstract

Hazardous alcohol consumption has been conceptualized (1) as all alcohol consumed on days when some threshold, usually ≈60 g, is exceeded, and (2) as only that portion of intake that exceeds this threshold. The first measure is hypothesized to be a better predictor of acute alcohol-related outcomes, because of its greater capacity to discriminate between individuals who frequently exceed the hazardous threshold by a small amount and those who infrequently exceed the threshold by a large amount. To test this hypothesis, the two approaches were used to construct alternative estimates of a number of measures of hazardous consumption. Individually and in combination, these measures were compared in a series of multiplicative models predicting four alcohol-related outcomes: impaired driving, fighting, interpersonal problems and injuries. There was no consistent evidence for one approach being superior to the other as a predictor of these outcomes. In fact, the use of appropriate linear transformations of the consumption variables had a far greater effect on improving the proportion of variance explained. The most highly predictive models were those based on frequency of hazardous consumption, mean volume of hazardous intake consumed per hazardous drinking day, volume of nonhazardous intake and their interactions. Differences among models were small, and models using combinations of simple, easy-to-obtain measures performed nearly on a par with those utilizing far more complex measures.

危险消费的替代措施和模式
危险饮酒被定义为(1)在超过某一阈值(通常≈60克)的日子里摄入的所有酒精,以及(2)只摄入超过该阈值的那部分酒精。据推测,第一种测量方法能更好地预测急性酒精相关的结果,因为它能更好地区分经常少量超过危险阈值的人和不经常大量超过危险阈值的人。为了验证这一假设,这两种方法被用来构建一些危险消费措施的替代估计。这些措施单独或组合在一起,在一系列乘法模型中进行比较,预测四种与酒精相关的结果:驾驶障碍、打架、人际关系问题和伤害。没有一致的证据表明一种方法优于另一种方法作为这些结果的预测因子。事实上,使用适当的消费变量的线性变换对提高方差解释的比例有更大的影响。最具预测性的模型是那些基于危险消费频率、每个危险饮酒日的平均危险摄入量、非危险摄入量及其相互作用的模型。模型之间的差异很小,使用简单、易于获得的测量方法组合的模型与使用复杂得多的测量方法的模型的表现几乎相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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