惊恐障碍患者失眠症状独立预测抑郁

Yunjung Choi, Doo-Heum Park, S. Ryu, J. Ha, H. Jeon
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摘要

目的:本研究旨在探讨惊恐障碍患者的失眠症状、亚症状和抑郁症状之间的关系。方法:对192例诊断为惊恐障碍的患者进行回顾性横断面研究。使用心理工具收集惊恐障碍严重程度、焦虑敏感性、广场恐怖症、失眠严重程度和抑郁症状的数据。采用相关分析和逻辑回归分析各变量之间的关系。结果:伴有明显抑郁症状的惊恐障碍患者失眠患病率较高,年龄较小,惊恐症状更严重。Logistic回归分析显示惊恐障碍患者的失眠症状与抑郁症状存在独立关联。特定的恐慌症子症状,如害怕公开观察到的焦虑反应和害怕认知控制障碍,与总体恐慌严重程度相比,与抑郁症状表现出更强的关联。结论:研究结果提示惊恐障碍患者的失眠、特定惊恐障碍亚症状和抑郁症状之间存在显著关联。解决失眠和认知症状可能是控制恐慌症和预防抑郁症状的关键。针对这些因素的心理干预,特别是认知行为疗法,可以改善恐慌症患者的预后。
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Insomnia Symptom Independently Predict Depression in the Patients With Panic Disorder
Objective: This study aimed to examine the association between insomnia symptoms, sub-symptoms of panic disorder, and depressive symptoms in patients with panic disorder.Methods: A retrospective cross-sectional study was conducted with 192 patients diagnosed with panic disorder. Data on panic disorder severity, anxiety sensitivity, agoraphobia, insomnia severity, and depressive symptoms were collected using psychological instruments. Correlation analysis and logistic regression were employed to analyze the relationships between the variables.Results: Patients with panic disorder accompanied by significant depressive symptoms had a higher prevalence of insomnia, younger age, and more severe panic symptoms. Logistic regression analysis revealed an independent association between insomnia symptoms and the presence of depressive symptoms in panic disorder patients. Specific panic disorder sub-symptoms, such as fear of publicly observable anxiety reactions and fear of cognitive dyscontrol, exhibited stronger associations with depressive symptoms than overall panic severity.Conclusion: The findings suggest a significant association between insomnia, specific panic disorder sub-symptoms, and depressive symptoms in patients with panic disorder. Addressing insomnia and cognitive symptoms may be crucial in managing panic disorder and preventing depressive symptoms. Psychological interventions, particularly cognitive behavioral therapy, targeted at these factors could improve outcomes for panic disorder patients.
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