直面抑郁:面部表情强化 EmpkinS-EKSpression 重新评估训练的疗效评估--随机对照试验方案。

IF 3.4 2区 医学 Q2 PSYCHIATRY
Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Klara Capito, Malin Hager, Farnaz Rahimi, Robert Richer, Bernhard Egger, Bjoern M Eskofier, Matthias Berking
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引用次数: 0

摘要

背景:功能失调性抑郁认知被认为是抑郁症病因和维持的关键因素。认知行为疗法(CBT)是目前治疗抑郁症的金标准心理疗法,它采用认知重组技术来解决功能失调认知问题。然而,高辍学率和无反应率表明,有必要提高 CBT 治疗抑郁症的疗效。这可以通过加强干预措施中情感和动觉(即肢体动作感知)特征的作用来实现。因此,我们旨在评估认知重组任务与抗抑郁面部表情表现相结合对抑郁症患者和非抑郁症患者的疗效。此外,我们还旨在研究动觉标记在多大程度上与抑郁症有内在联系,从而可以检测出抑郁症:在一项四臂、平行、单盲、随机对照试验(RCT)中,我们将把 128 名抑郁症患者和 128 名无抑郁症的匹配对照者随机分配到四种研究条件中的一种:(1)认知再评价训练(CR);(2)CR 增强训练,并指示其展示抗抑郁面部表情(CR + AFE);(3)面部肌肉训练,重点是抗抑郁面部表情(AFE);(4)假对照条件。诊断评估一周后,将进行 90-120 分钟的单次干预,两周后进行随访。抑郁情绪将作为主要结果。次要结果将包括当前的积极情绪、抑郁症状、当前的自杀倾向、功能失调态度、自动想法、情绪状态、动觉(即面部表情、面部肌肉活动、身体姿势)、心理生理测量(如心率(变异性)、呼吸频率(变异性)、语言声音)以及可行性测量(即治疗的完整性、依从性、可用性、可接受性)。研究结果将采用多种方法进行分析,如分层模型、传统线性模型和机器学习等:如果证明是可行和有效的,将动觉纳入心理治疗诊断和干预可能是向更迅速、高效和有针对性地治疗抑郁症患者迈出的关键一步:该研究于2022年8月12日在开放科学框架( https://osf.io/mswfg/ )中进行了预注册,并于2024年11月25日在德国临床试验注册中心进行了回顾性注册。临床试验编号:DRKS00035577:临床试验编号:DRKS00035577。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions - protocol of a randomized controlled trial.

Background: Dysfunctional depressogenic cognitions are considered a key factor in the etiology and maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard psychotherapeutic treatment for depression, cognitive restructuring techniques are employed to address dysfunctional cognitions. However, high drop-out and non-response rates suggest a need to boost the efficacy of CBT for depression. This might be achieved by enhancing the role of emotional and kinesthetic (i.e., body movement perception) features of interventions. Therefore, we aim to evaluate the efficacy of a cognitive restructuring task augmented with the performance of anti-depressive facial expressions in individuals with and without depression. Further, we aim to investigate to what extent kinesthetic markers are intrinsically associated with and, hence, allow for the detection of, depression.

Methods: In a four-arm, parallel, single-blind, randomized controlled trial (RCT), we will randomize 128 individuals with depression and 128 matched controls without depression to one of four study conditions: (1) a cognitive reappraisal training (CR); (2) CR enhanced with instructions to display anti-depressive facial expressions (CR + AFE); (3) facial muscle training focusing on anti-depressive facial expressions (AFE); and (4) a sham control condition. One week after diagnostic assessment, a single intervention of 90-120-minute duration will be administered, with a subsequent follow-up two weeks later. Depressed mood will serve as primary outcome. Secondary outcomes will include current positive mood, symptoms of depression, current suicidality, dysfunctional attitudes, automatic thoughts, emotional state, kinesthesia (i.e., facial expression, facial muscle activity, body posture), psychophysiological measures (e.g., heart rate (variability), respiration rate (variability), verbal acoustics), as well as feasibility measures (i.e., treatment integrity, compliance, usability, acceptability). Outcomes will be analyzed with multiple methods, such as hierarchical and conventional linear models and machine learning.

Discussion: If shown to be feasible and effective, the inclusion of kinesthesia into both psychotherapeutic diagnostics and interventions may be a pivotal step towards the more prompt, efficient, and targeted treatment of individuals with depression.

Trial registration: The study was preregistered in the Open Science Framework on August 12, 2022 ( https://osf.io/mswfg/ ) and retrospectively registered in the German Clinical Trials Register on November 25, 2024.

Clinical trial number: DRKS00035577.

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来源期刊
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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