Boys Annabel, Marsden John
National Addiction Centre, Institute of Psychiatry, King's College London, London, UK.
Addiction. 2003 Jul;98(7):951-63. doi: 10.1046/j.1360-0443.2003.00394.x.
To model consumption patterns and problems associated with alcohol, cannabis, ecstasy, amphetamine and cocaine hydrochloride use in a non-treatment sample of young polysubstance users.
A cross-sectional survey of 364 16-22-year-old (56.3% male) polysubstance users recruited and interviewed by peer interviewers.
Structured questionnaires were used to gather identical datasets on the five target psychoactive substances, recording patterns of substance use; adverse consequences from use; negative effects; functions for substance use; and perceived peer use.
Functions for substance use strongly predicted intensity of use in all five substances when peer use, age of first use and demographics were controlled, explaining an additional 11-19% of the variance in scores. Functions also explained an average of 22% of the variance in problem scores over and above the effects of background variables and current intensity of use. In particular, functions concerned with relief from negative mood states were strong predictors of problem scores in alcohol, cannabis and cocaine.
The potential implications of using a functional approach to explaining and responding to substance use are considerable. This could help to enhance our understanding of how experimental substance use becomes regular and how regular use becomes problematic, and could thus inform prevention, education and intervention efforts.
对年轻的多种物质使用者的非治疗样本中与酒精、大麻、摇头丸、安非他命和盐酸可卡因使用相关的消费模式及问题进行建模。
对364名年龄在16 - 22岁(男性占56.3%)的多种物质使用者进行横断面调查,由同伴访谈员招募并访谈。
使用结构化问卷收集关于五种目标精神活性物质的相同数据集,记录物质使用模式;使用的不良后果;负面影响;物质使用的功能;以及同伴使用情况。
在控制了同伴使用、首次使用年龄和人口统计学因素后,物质使用的功能强烈预测了所有五种物质的使用强度,解释了分数变异的另外11 - 19%。功能还解释了问题分数变异的平均22%,超出了背景变量和当前使用强度的影响。特别是,与缓解负面情绪状态相关的功能是酒精、大麻和可卡因问题分数的强预测因素。
采用功能方法来解释和应对物质使用的潜在影响相当大。这有助于增强我们对实验性物质使用如何变成常规使用以及常规使用如何变成问题行为的理解,从而为预防、教育和干预工作提供信息。