Lee Su Jin, Lee Mimi, Kim Hyeong Beom, Huh Hyu Jung
Department of Psychology, Ewha Womans University, Seoul, Republic of Korea.
Department of Psychology, The Catholic University of Korea, Seoul, Republic of Korea.
Psychiatry Investig. 2024 Mar;21(3):255-264. doi: 10.30773/pi.2023.0221. Epub 2024 Mar 25.
The primary objective of this study was to examine the associations among emotion regulation strategies, interoceptive awareness, and psychological distress measures-namely, depression, anxiety, and somatization. Additionally, we aimed to explore the predictive power of various facets of interoceptive awareness in determining the severity of symptoms for each mental disorder.
A cohort of 130 outpatients diagnosed with depression/anxiety disorder were recruited, and 20 subjects exhibiting incomplete responses were excluded from the dataset, leading to a final sample size of 110 outpatients. The clinical symptoms were measured by Patient Health Questionnaire-9, State-Trait Anxiety Inventory Form Y, and Symptom Checklist-90-Revised, and the usage of emotion-regulation strategies and interoceptive awareness was assessed with Emotion Regulation Questionnaire and Multidimensional Assessment of Interoceptive Awareness (MAIA), respectively. A hierarchical regression analysis was performed to examine whether emotion-regulation strategies and interoceptive awareness explain the statistically significant variance in each of the symptoms.
In the depression model, cognitive reappraisal, accept, and attention regulation showed significant associations, while in the anxiety model, cognitive reappraisal, attention regulation, trust, and notice emerged as significant factors. Lastly, cognitive reappraisal and attention regulation were found to be significant contributors to the final model for somatization.
The inclusion of MAIA subscales improved the predictive ability of the regression model, highlighting the independent association between interoceptive awareness-particularly attention regulation-and clinical symptoms of anxiety and depression. Additionally, the study underscores the relevance of considering the specific pathological context when implementing interventions, as evidenced by the positive associations between the accept subscale and depression and between the notice subscale and anxiety, respectively.
本研究的主要目的是检验情绪调节策略、内感受性觉知与心理痛苦指标(即抑郁、焦虑和躯体化)之间的关联。此外,我们旨在探究内感受性觉知的各个方面在确定每种精神障碍症状严重程度方面的预测能力。
招募了130名被诊断为抑郁/焦虑障碍的门诊患者,数据集中排除了20名回答不完整的受试者,最终样本量为110名门诊患者。临床症状通过患者健康问卷-9、状态-特质焦虑量表Y型和症状自评量表-90修订版进行测量,情绪调节策略的使用和内感受性觉知分别通过情绪调节问卷和内感受性觉知多维评估(MAIA)进行评估。进行了分层回归分析,以检验情绪调节策略和内感受性觉知是否能解释每种症状在统计学上的显著差异。
在抑郁模型中,认知重评、接受和注意力调节显示出显著关联,而在焦虑模型中,认知重评、注意力调节、信任和觉察成为显著因素。最后,发现认知重评和注意力调节是躯体化最终模型的显著贡献因素。
纳入MAIA分量表提高了回归模型的预测能力,突出了内感受性觉知(特别是注意力调节)与焦虑和抑郁临床症状之间的独立关联。此外,该研究强调了在实施干预时考虑特定病理背景的相关性,接受分量表与抑郁之间以及觉察分量表与焦虑之间的正相关分别证明了这一点。