Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism.
Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism.
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DOI：
10.1038/s41598-021-81696-5
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发表时间：
2021-01-26
影响因子：
4.6
通讯作者：
Falter-Wagner C
中科院分区：
文献类型：
--
作者：
Bloch C;Burghof L;Lehnhardt FG;Vogeley K;Falter-Wagner C
当考虑到患有自闭症谱系障碍（ASD）的成年人中令人担忧的抑郁率时，需要找到解释抑郁症状加剧的因素。除了自闭症特征的影响之外，述情障碍特征的显著增加水平应该被认为是解释为什么ASD患者报告更高水平抑郁症状的候选人。在这里，我们的目标是确定自闭症或述情障碍的特征在多大程度上表明ASD的抑郁症状，以及这种关联模式是否是ASD特有的。研究了一个大型（N = 400）的自闭症诊断成人代表性临床人群的数据，并将其分为确诊ASD诊断的病例（N = 281）和排除ASD诊断的病例（N = 119）。优势分析显示，述情障碍因素，在识别感情的困难，作为最强的预测抑郁症的ASD，超过自闭症特征和其他述情障碍因素。这种预测模式并不特异于ASD，并且被排除ASD诊断的转诊人群的临床对照所共享。因此，述情障碍特征与抑郁症的关联并不是ASD所独有的，并且可能构成临床样本中的一般精神病理学机制。
When contemplating the alarming depression rates in adults with autism spectrum disorder (ASD), there is a need to find factors explaining heightened symptoms of depression. Beyond the impact of autism traits, markedly increased levels of alexithymia traits should be considered as a candidate for explaining why individuals with ASD report higher levels of depressive symptoms. Here, we aim to identify the extent to which autism or alexithymia traits indicate depressive symptoms in ASD and whether the pattern of association are specific to ASD. Data of a large (N = 400) representative clinical population of adults referred to autism diagnostics have been investigated and split by cases with a confirmed ASD diagnosis (N = 281) and cases with a ruled out ASD diagnosis (N = 119). Dominance analysis revealed the alexithymia factor, difficulties in identifying feelings, as the strongest predictor for depressive symptomatology in ASD, outweighing autism traits and other alexithymia factors. This pattern of prediction was not specific to ASD and was shared by clinical controls from the referral population with a ruled out ASD diagnosis. Thus, the association of alexithymia traits with depression is not unique to ASD and may constitute a general psychopathological mechanism in clinical samples.
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影响因子：
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