Polydrug Use Typologies and Childhood Maltreatment in a Nationally Representative Survey of Danish Young Adults

Polydrug Use Typologies and Childhood Maltreatment in a Nationally Representative Survey of Danish Young Adults
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DOI:
10.15288/jsad.2014.75.170
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发表时间:
2014-01-01
影响因子:
3.4
通讯作者:
Christoffersen, Mogens N.
Christoffersen, Mogens N.
中科院分区:
医学3区
文献类型:
--
作者:
Armour, Cherie;Shorter, Gillian W.;Christoffersen, Mogens N.

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目的:物质使用和儿童期虐待经历是相关的,但对多种药物使用模式的相关性知之甚少。方法:对按性别分列的丹麦年轻人(男性:n = 1,555;女性:n = 1,425)的随机人口样本中的8种非法药物进行了潜在类别分析(LCA)。Logistic回归探讨多种药物使用模式和儿童期虐待的关联结果:三个类的解决方案最好的描述模式的多种药物使用的男性和女性样本。在所有LCA模型中,第一类的特征是代表广泛的多种药物使用者的个人,支持许多药物类型。(男性= 8%;女性= 2%)。第2类的特点是安非他明,大麻,可卡因和硝酸戊酯用户(男性= 18%;女性= 7%)。第3类的特点是个人谁赞同要么低水平使用大麻只或没有药物使用(男性= 74%;女性= 91%)。对于男性来说,儿童保护案例与1级和2级相关,女性与2级相关,而与3级相关。酒精问题与1级和2级男女有关。性虐待与1级和2级的女性有关,但与男性无关,而身体虐待与1级和2级的男性有关,但与3级相比,与女性无关。结论:单独的性别分析是重要的,虽然多种药物使用的模式大致相似,女性不太频繁的多种药物使用者。此外,性别之间存在不同的关系,例如,多种药物使用模式与女性的性虐待有关,而这种模式与年轻男性的身体虐待有关。
Objective: Substance use and childhood maltreatment experience are linked, but little is known about the association with polydrug use patterns. Method: Latent class analyses (LCA) were performed on eight illicit drugs in a random population sample of young Danes separated by sex (males: n = 1,555; females: n = 1,425). Logistic regressions explored associations of polydrug use patterns and childhood maltreatment Results: A three-class solution best described patterns of polydrug use in both the male and female samples. Across all LCA models, Class 1 was characterized by individuals who represented wide-range polydrug users, endorsing many of the drug types.(males = 8%; females = 2%). Class 2 was characterized by amphetamine, cannabis, cocaine, and amyl nitrate users (males = 18%; females = 7%). Class 3 was characterized by individuals who endorsed either low-level use of cannabis only or no drug use (males = 74%; females = 91%). For males, having been a child-protection case was associated with Classes 1 and 2 and for females with Class 2, compared with Class 3. Alcohol problems were associated with Classes 1 and 2 for both sexes. Sexual abuse was associated with Classes 1 and 2 for females but not males, whereas physical abuse was associated with Classes 1 and 2 for males but not females, as compared with Class 3. Conclusions: Separate sex analyses are important; although patterns of polydrug use are broadly similar, females are less frequently polydrug users. In addition, different relationships exist for the sexes, such that polydrug use patterns are associated with sexual abuse in females, whereas such patterns are associated with physical abuse in young males.