Aggressive Behavior Problems in Children with Autism Spectrum Disorders: Prevalence and Correlates in a Large Clinical Sample.

Aggressive Behavior Problems in Children with Autism Spectrum Disorders: Prevalence and Correlates in a Large Clinical Sample.
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DOI:
10.1016/j.rasd.2014.05.006
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发表时间:
2014-09-01
影响因子:
2.5
通讯作者:
Fombonne E
Fombonne E
中科院分区:
医学3区
文献类型:
--
作者:
Hill AP;Zuckerman KE;Hagen AD;Kriz DJ;Duvall SW;van Santen J;Nigg J;Fair D;Fombonne E

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攻击性行为问题(ABP)在自闭症谱系障碍(ASD)儿童中很常见,但人们对其了解甚少,并且可能与共病问题显着相关。我们在ASD儿童(N = 400; 2-16.9岁)的临床样本中研究了ABP的患病率和社会人口学相关性。我们还调查了ABP儿童是否比没有ABP的ASD儿童经历更密集的医疗干预,行为功能更大的损害和更严重的共病问题。四分之一的ASD儿童在攻击行为量表上的儿童行为检查表评分在临床范围内(T评分≥ 70)。社会人口学因素(年龄、性别、父母教育程度、种族、民族)与ABP状态无关。ABP的存在与精神药物和褪黑激素的使用增加、认知功能降低、ASD严重程度降低、以及更大的共病睡眠、内化和注意力问题显著相关。在多变量模型中,睡眠、内化和注意力问题与ABP最密切相关。这些共病问题可能有望作为治疗目标,以减少攻击性行为,并积极识别高风险的预防。
Aggressive behavior problems (ABP) are frequent yet poorly understood in children with Autism Spectrum Disorders (ASD) and are likely to co-vary significantly with comorbid problems. We examined the prevalence and sociodemographic correlates of ABP in a clinical sample of children with ASD (N = 400; 2–16.9 years). We also investigated whether children with ABP experience more intensive medical interventions, greater impairments in behavioral functioning, and more severe comorbid problems than children with ASD who do not have ABP. One in four children with ASD had Child Behavior Checklist scores on the Aggressive Behavior scale in the clinical range (T-scores ≥ 70). Sociodemographic factors (age, gender, parent education, race, ethnicity) were unrelated to ABP status. The presence of ABP was significantly associated with increased use of psychotropic drugs and melatonin, lower cognitive functioning, lower ASD severity, and greater comorbid sleep, internalizing, and attention problems. In multivariate models, sleep, internalizing, and attention problems were most strongly associated with ABP. These comorbid problems may hold promise as targets for treatment to decrease aggressive behavior and proactively identify high-risk profiles for prevention.
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