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Contrasting models of genetic co-morbidity for cannabis and other illicit drugs in adult Australian twins.

机译:澳大利亚成年双胞胎中大麻和其他非法药物遗传共病的对比模型。

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BACKGROUND: The use of cannabis and other illicit drugs (OIDs) and their co-morbid misuse are frequently reported in the literature. Correlated vulnerabilities and causal or gateway influences have been implicated in this association. We investigated the source of this co-morbidity between cannabis use (experimentation, early and repeated use, and problems) and OID experimentation and problems using genetic models proposed by Neale and Kendler (American Journal of Human Genetics 1995, 57, 935-953). METHOD: In a sample of 4152 same-sex male and female adult Australian twin individuals, we fit 13 genetically informative models of co-morbidity to data on experimentation, early use, repeated use of cannabis and co-morbid OID experimentation, and to abuse/dependence (A/D) problems with cannabis and OIDs. RESULTS: Model-fitting results suggest that common genetic, shared and unique environmental factors are responsible for the association between cannabis experimentation, early use, repeated use and A/D problems and OID experimentation or problems. The liability causation model, which is a reduced form of the correlated vulnerabilities model, also fit very well. In women, we found evidence for high-risk cannabis experimenters and repeated users to be at increased risk for OID experimentation, despite being below the risk threshold on the liability distribution for OID experimentation (extreme multiformity). CONCLUSIONS: Co-morbid cannabis and OID use and misuse are due partly to a common predisposition to substance use disorders. Putative causal effects could not be ruled out. These models warrant further research, so that features of the correlated vulnerabilities model and the gateway models can be studied jointly in a single series of adaptive nested models.
机译:背景:大麻和其他非法药物(OID)的使用以及它们的合并病滥用经常在文献中报道。相关的漏洞以及因果关系或网关影响已被暗示与此关联。我们使用Neale和Kendler提出的遗传模型调查了大麻使用(实验,早期使用和重复使用以及问题)与OID实验和问题之间的这种合并症的来源(美国人类遗传学杂志1995,57,935-953) 。方法:在4152名同性成年澳大利亚成年男性和女性成年双胞胎样本中,我们将13种共病的遗传信息模型拟合到实验,早期使用,重复使用大麻和共病OID实验以及滥用数据上大麻和OID的/ dependency(A / D)问题。结果:模型拟合结果表明,常见的遗传,共有和独特的环境因素是大麻实验,早期使用,重复使用与A / D问题以及OID实验或问题之间的关联。责任因果关系模型是相关漏洞模型的简化形式,也非常适合。在女性中,我们发现有证据表明,尽管风险低于OID实验责任分配的风险阈值(极度多样性),但高风险大麻实验人员和重复使用者的OID实验风险增加。结论:共病大麻和OID的使用和滥用部分是由于药物滥用障碍的共同易感性造成的。不能排除推定的因果关系。这些模型值得进一步研究,以便可以在单个系列的自适应嵌套模型中联合研究相关漏洞模型和网关模型的功能。

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