Dietel Fanny Alexandra, Rupprecht Raphael, Seriyo Alexander Mohamed, Post Malte, Sudhoff Bastian, Reichart Jacqueline, Berking Matthias, Buhlmann Ulrike
University of Osnabrueck, Germany.
University of Muenster, Germany.
Internet Interv. 2024 Feb 9;35:100719. doi: 10.1016/j.invent.2024.100719. eCollection 2024 Mar.
Previous research has identified maladaptive emotion regulation as a key factor in psychopathology. Thus, addressing emotion regulation via scalable, low-threshold digital interventions - such as smartphone-based Cognitive Bias Modification (CBM) - holds important therapeutic potential. Using a randomized-controlled crossover trial, we tested the efficacy of an integrated CBM module within the Affect Regulation Training (ART, i.e., CBM-ART) that targeted emotion regulation through elements of appraisal-based and approach avoidance training. Undergraduate students reporting elevated stress were randomized to a one-week active intervention (; including psychoeducation, a quiz, and CBM-ART; = 40), active control training (; including placebo psychoeducation, a quiz, and a placebo swiping task; 36) or waitlist ( 25). Before and after the intervention, we assessed emotion regulation, interpretation bias, stress and depression. We further tested post-training stress reactivity using an anagram task. Results indicated that the active intervention improved negative (OR = 0.35) and positive (OR = 2.40) interpretation biases and symptom measures ( = 0.52-0.87). However, active control training showed attenuated concurrent pre-post changes on interpretation biases (i.e., OR = 0.53 for negative, and OR = 1.49 for positive interpretations) and symptom measures ( = 0.26-0.91). The active intervention was rated positively in terms of acceptability and usability. These findings provide initial evidence for the efficacy and acceptability of an integrated app-based CBM intervention for emotion regulation in reducing interpretation biases and psychopathological symptoms, including stress. However, future studies should disentangle specific mechanisms underlying interventional effects.
先前的研究已将适应不良的情绪调节确定为精神病理学的关键因素。因此,通过可扩展的、低门槛的数字干预措施来解决情绪调节问题——例如基于智能手机的认知偏差修正(CBM)——具有重要的治疗潜力。我们采用随机对照交叉试验,测试了情感调节训练(ART,即CBM-ART)中一个集成CBM模块的疗效,该模块通过基于评估的训练和接近-回避训练元素来靶向情绪调节。报告压力升高的本科生被随机分为为期一周的主动干预组(;包括心理教育、测验和CBM-ART;=40)、主动对照训练组(;包括安慰剂心理教育、测验和安慰剂滑动任务;36)或等待列表组(25)。在干预前后,我们评估了情绪调节、解释偏差、压力和抑郁情况。我们还使用字谜任务测试了训练后的压力反应性。结果表明,主动干预改善了消极(OR = 0.35)和积极(OR = 2.40)解释偏差以及症状指标(= 0.52 - 0.87)。然而,主动对照训练在解释偏差(即消极解释的OR = 0.53,积极解释的OR = 1.49)和症状指标(= 0.26 - 0.91)方面的前后同期变化有所减弱。主动干预在可接受性和可用性方面得到了积极评价。这些发现为基于应用程序的集成CBM干预在减少解释偏差和包括压力在内的精神病理症状方面进行情绪调节的疗效和可接受性提供了初步证据。然而,未来的研究应厘清干预效果背后的具体机制。