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首页> 外文期刊>The European Journal of Neuroscience >The initiation of cannabis use in adolescence is predicted by sex-specific psychosocial and neurobiological features
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The initiation of cannabis use in adolescence is predicted by sex-specific psychosocial and neurobiological features

机译:通过性别特异性的心理社会和神经生物学特征预测大麻在青春期的启动

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Cannabis use initiated during adolescence might precipitate negative consequences in adulthood. Thus, predicting adolescent cannabis use prior to any exposure will inform the aetiology of substance abuse by disentangling predictors from consequences of use. In this prediction study, data were drawn from the IMAGEN sample, a longitudinal study of adolescence. All selected participants (n = 1,581) were cannabis-naive at age 14. Those reporting any cannabis use (out of six ordinal use levels) by age 16 were included in the outcome group (N = 365, males n = 207). Cannabis-naive participants at age 14 and 16 were included in the comparison group (N = 1,216, males n = 538). Psychosocial, brain and genetic features were measured at age 14 prior to any exposure. Cross-validated regularized logistic regressions for each use level by sex were used to perform feature selection and obtain prediction error statistics on independent observations. Predictors were probed for sex- and drug-specificity using post-hoc logistic regressions. Models reliably predicted use as indicated by satisfactory prediction error statistics, and contained psychosocial features common to both sexes. However, males and females exhibited distinct brain predictors that failed to predict use in the opposite sex or predict binge drinking in independent samples of same-sex participants. Collapsed across sex, genetic variation on catecholamine and opioid receptors marginally predicted use. Using machine learning techniques applied to a large multimodal dataset, we identified a risk profile containing psychosocial and sex-specific brain prognostic markers, which were likely to precede and influence cannabis initiation.
机译:在青春期期间启动的大麻可能会导致成年期促成负面后果。因此,在任何暴露之前预测青少年大麻用途将通过解除使用的后果的预测因子来告知药物的滥用。在该预测研究中,从Imagen样品中抽出数据,是青春期的纵向研究。所有选定的参与者(n = 1,581)在14岁时都是大麻天真。报告其16岁以上的任何大麻使用(六个序数使用水平)的那些被列入成果组(n = 365,男性n = 207)。 14和16岁的大麻 - 天真参与者包含在比较组中(n = 1,216,男性n = 538)。在任何接触之前14岁以年龄14测量心理社会,脑和遗传特征。使用性别的交叉验证的正则化逻辑回归按性别的每个使用级别用于执行特征选择并获得独立观察的预测误差统计信息。使用HOC后勤回归探查了预测因素用于性别和药物特异性。模型可靠地预测使用,如满意的预测误差统计所示,并包含对两性共同的心理社会特征。然而,雄性和女性表现出明显的脑预测因子,未能预测在异性的异性或预测在同伴侣参与者的独立样本中饮酒。横跨性别,遗传变异对儿茶酚胺和阿片受体的遗传变异略微预测使用。利用应用于大型多模式数据集的机器学习技术,我们确定了包含心理社会和性别特异性脑预后标志物的风险型材,这可能在激发和影响大麻启动。

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