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这种失调特征可预测未成年母亲后代的大麻使用情况。

The dysregulation profile predicts cannabis use in the offspring of teenage mothers.

作者信息

De Genna Natacha M, Larkby Cynthia, Cornelius Marie D

机构信息

Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, USA.

出版信息

ISRN Addict. 2012 Nov 11;2013:659313. doi: 10.1155/2013/659313. eCollection 2013.

Abstract

Background. Offspring of teenage mothers are at greater risk of early drug use. Research has identified a child behavior checklist (CBCL) profile for children with high levels of comorbid behavior problems, the dysregulation profile (DP), as another risk factor for drug use. Method. Teenage girls (12-18 years old; 71% African-American, 29% White) were recruited during pregnancy. Data were collected during pregnancy and when offspring were 6, 10, and 14 years old (n = 318). Mothers completed the CBCL when children were at ages 6 and 10, and children who scored 60 or higher on all 3 DP subscales (aggression, anxiety/depression, and attention problems) were categorized as dysregulated. At ages 10 and 14, the offspring (50% male, 50% female) reported on their cannabis use and completed the childhood depression inventory (CDI). Results. DP at age 6 and depressive symptoms at age 14 predicted recent cannabis use in the offspring. There was a significant interaction between race and pubertal timing such that White offspring who matured earlier were at greater risk of recent cannabis use. Conclusions. The results of this study suggest that it may be possible to identify a subset of children at risk of dual diagnosis as early as age 6.

摘要

背景。青少年母亲的子女早期使用毒品的风险更高。研究已确定,对于患有高度共病行为问题的儿童,其儿童行为检查表(CBCL)概况即失调概况(DP)是吸毒的另一个风险因素。方法。在孕期招募了年龄在12至18岁之间的少女(71%为非裔美国人,29%为白人)。在孕期以及子女6岁、10岁和14岁时收集数据(n = 318)。当孩子6岁和10岁时,母亲们完成CBCL,在所有3个DP子量表(攻击、焦虑/抑郁和注意力问题)上得分60或更高的孩子被归类为失调。在孩子10岁和14岁时,这些子女(50%为男性,50%为女性)报告了他们的大麻使用情况并完成了儿童抑郁量表(CDI)。结果。6岁时的DP和14岁时的抑郁症状可预测子女近期的大麻使用情况。种族和青春期时间之间存在显著交互作用,即早熟的白人子女近期使用大麻的风险更高。结论。本研究结果表明,早在6岁时就有可能识别出有双重诊断风险的儿童亚组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d18/4403622/378eeb4e2ac2/ISRN.ADDICTION2013-659313.001.jpg

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