Parental depression and child cognitive vulnerability predict children's cortisol reactivity.
Parental depression and child cognitive vulnerability predict children's cortisol reactivity.
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DOI：
10.1017/s0954579414001138
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发表时间：
2014-11
影响因子：
3.3
通讯作者：
Badanes LS
中科院分区：
文献类型：
--
作者：
Hayden EP;Hankin BL;Mackrell SV;Sheikh HI;Jordan PL;Dozois DJ;Singh SM;Olino TM;Badanes LS
抑郁症的风险是通过多个层次的分析来表达的。例如，父母抑郁和认知脆弱性是已知的抑郁风险的标志，但没有研究调查它们对儿童皮质醇反应的相互作用，皮质醇反应可能是早期抑郁风险的中介。我们在两个社区儿童样本中使用横断面和纵向方法检查了这些不同脆弱性水平之间的关系。通过自我报告（研究1，n = 244）和利用记忆和注意偏差的任务（研究2，n = 205）评估儿童的认知脆弱性，并通过结构化临床访谈评估其父母的抑郁史。在这两个样本中，儿童都参加了标准化的压力任务，并评估了皮质醇的反应。横断面和纵向上，父母抑郁史和儿童认知脆弱性相互作用预测儿童的皮质醇反应；具体来说，当孩子也表现出抑郁型归因，以及注意力和记忆偏差升高时，发现父母抑郁和孩子皮质醇活性升高之间的联系。研究结果表明，儿童出现抑郁风险的模型可能受益于跨分析水平的多种脆弱性来源的相互作用的检查。
Risk for depression is expressed across multiple levels of analysis. For example, parental depression and cognitive vulnerability are known markers of depression risk, but no study has examined their interactive effects on children’s cortisol reactivity, a likely mediator of early depression risk. We examined relations across these different levels of vulnerability using cross-sectional and longitudinal methods in two community samples of children. Children were assessed for cognitive vulnerability using self-reports (Study 1; n = 244) and tasks tapping memory and attentional bias (Study 2; n = 205), and their parents were assessed for depression history using structured clinical interviews. In both samples, children participated in standardized stress tasks and cortisol reactivity was assessed. Cross-sectionally and longitudinally, parental depression history and child cognitive vulnerability interacted to predict children’s cortisol reactivity; specifically, associations between parent depression and elevated child cortisol activity were found when children also showed elevated depressotypic attributions, as well as attentional and memory biases. Findings indicate that models of children’s emerging depression risk may benefit from the examination of the interactive effects of multiple sources of vulnerability across levels of analysis.