New York State Psychiatric Institute, New York, NY 10032, USA.
Addict Behav. 2010 Nov;35(11):961-9. doi: 10.1016/j.addbeh.2010.06.011. Epub 2010 Jun 9.
Genetic research on substance use disorders usually defines phenotypes as a binary diagnosis, resulting in a loss of information if the disorder is inherently dimensional. The DSM-IV criteria for drug dependence were based on a theoretically dimensional (linear) model. Considerable investigation has been conducted on DSM-IV alcohol criteria, but less is known about the dimensionality of DSM-IV cannabis criteria for abuse and dependence. The aim of this study is to assess whether DSM-IV cannabis dependence (including withdrawal) and abuse criteria fit a linear measure of severity and whether a consumption criterion adds linearly to severity.
DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS: Participants were 8172 in the National Epidemiologic Survey on Alcohol and Related Conditions who had ever used cannabis. Wald statistics were used to test whether categorical, dimensional or hybrid forms best fit the data. We examined the following as criterion sets: (1) dependence; (2) dependence and abuse; and (3) dependence, abuse and frequency of use. Validating variables included family history of drug problems, early onset of cannabis use, and antisocial personality disorder.
For cannabis dependence, no evidence was found for categorical or hybrid models; Wald tests indicated that models representing the seven DSM-IV dependence criteria as a linear severity measure best described the association between the criteria and validating variables. However, significant differences from linearity occurred after adding the four cannabis abuse criteria (p=0.03) and the use indicator (p=0.01) for family history and antisocial personality disorder.
With ample power to detect non-linearity, cannabis dependence was shown to form an underlying continuum of severity. However, adding abuse criteria, with and without a measure of consumption, resulted in a model that differed significantly from linearity for two of the three validating variables.
物质使用障碍的遗传研究通常将表型定义为二元诊断,如果该障碍本质上是多维的,那么这将导致信息丢失。DSM-IV 药物依赖标准基于理论上的多维(线性)模型。已经对 DSM-IV 酒精标准进行了大量研究,但对 DSM-IV 大麻滥用和依赖标准的多维性知之甚少。本研究旨在评估 DSM-IV 大麻依赖(包括戒断)和滥用标准是否符合严重程度的线性测量,以及消费标准是否线性增加严重程度。
设计/设置/参与者/测量:在全国酒精相关状况流行病学调查中,共有 8172 名参与者曾使用过大麻。使用 Wald 统计检验来测试分类、维度或混合形式是否最适合数据。我们检查了以下标准集:(1)依赖;(2)依赖和滥用;(3)依赖、滥用和使用频率。验证变量包括药物问题家族史、大麻使用早期发病和反社会人格障碍。
对于大麻依赖,没有证据表明存在分类或混合模型;Wald 检验表明,代表 DSM-IV 七种依赖标准作为线性严重程度测量的模型最能描述标准与验证变量之间的关联。然而,在添加四个大麻滥用标准(p=0.03)和使用指标(p=0.01)用于家族史和反社会人格障碍后,出现了显著的非线性差异。
在有足够的能力检测非线性的情况下,大麻依赖被证明是一种严重程度的潜在连续体。然而,添加滥用标准,无论是否有消费测量,对于三个验证变量中的两个,都会导致与线性显著不同的模型。