Hoorelbeke Kristof, Vervaeke Jasmien, Siegle Greg J, Baeken Chris, Koster Ernst H W
Psychopathology and Affective Neuroscience (PAN) lab, Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Imec-Mict-Ghent University, Ghent, Belgium.
Internet Interv. 2022 Feb 12;27:100507. doi: 10.1016/j.invent.2022.100507. eCollection 2022 Mar.
Recent research suggests beneficial effects of cognitive control training (CCT) on repetitive negative thinking (RNT), a key risk factor for internalizing symptomatology. However, relatively little is known regarding predictors of adherence to internet-delivered CCT as well as moderators of treatment effects for this intervention. Answering these questions could improve efficiency of clinical implementation of CCT as an eHealth intervention. The current pre-registered single-arm trial set-out to address these questions using a web-based gamified CCT procedure based on the adaptive Paced Auditory Serial Addition Task. Participants ( = 382) entered the internet-based study, where we observed considerable drop-out during the assessment phase and the first training sessions. Emotional stability and resilience emerged as predictors for deciding not to commence the intervention. Drop-out throughout the course of CCT was explained by age, emotion regulation-, and personality factors. We used latent profile analysis, a probabilistic modeling approach, to identify clusters of participants (User Profiles) based on indicators of baseline cognitive- and emotional functioning, training progress, and user experience. We obtained three User Profiles, reflecting low-, moderate-, and high-risk status. Effortful control, emotion regulation, internalizing symptomatology, resilience, and emotional stability played a central role in these User Profiles. Interestingly, User Profile predicted training related cognitive gains, as well as effects of CCT on anxiety- and stress symptoms, and reappraisal. Our findings suggest that CCT is most effective for the moderate- and high-risk groups. In addition, the high-risk group would likely benefit from a more intensive training procedure or repeated administration of the training procedure over time to foster long-term retention of training related gains.
近期研究表明，认知控制训练（CCT）对重复性消极思维（RNT）具有有益影响，而RNT是内化症状的一个关键风险因素。然而，对于网络提供的CCT的依从性预测因素以及该干预措施的治疗效果调节因素，我们了解得相对较少。回答这些问题可以提高CCT作为一种电子健康干预措施在临床实施中的效率。当前这项预先注册的单臂试验旨在使用基于自适应听觉序列加法任务的网络游戏化CCT程序来解决这些问题。参与者（n = 382）进入基于网络的研究，我们观察到在评估阶段和最初的训练课程中有相当数量的人退出。情绪稳定性和心理韧性成为决定不开始干预的预测因素。整个CCT过程中的退出情况可以由年龄、情绪调节和人格因素来解释。我们使用潜在剖面分析（一种概率建模方法），根据基线认知和情绪功能、训练进展以及用户体验的指标来识别参与者群体（用户档案）。我们获得了三种用户档案，分别反映低、中、高风险状态。努力控制、情绪调节、内化症状、心理韧性和情绪稳定性在这些用户档案中起着核心作用。有趣的是，用户档案预测了与训练相关的认知收益，以及CCT对焦虑和压力症状以及重新评估的影响。我们的研究结果表明，CCT对中高风险组最有效。此外，高风险组可能会从更密集的训练程序或随着时间推移重复进行训练程序中受益，以促进与训练相关收益的长期保持。
