Bonanno George A
Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, USA.
Eur J Psychotraumatol. 2021 Jun 30;12(1):1942642. doi: 10.1080/20008198.2021.1942642. eCollection 2021.
Decades of research have consistently shown that the most common outcome following potential trauma is a stable trajectory of healthy functioning, or resilience. However, attempts to predict resilience reveal a paradox: the correlates of resilient outcomes are generally so modest that it is not possible accurately identify who will be resilient to potential trauma and who not. Commonly used resilience questionnaires essentially ignore this paradox by including only a few presumably key predictors. However, these questionnaires show virtually no predictive utility. The opposite approach, capturing as many predictors as possible using multivariate modelling or machine learning, also fails to fully address the paradox. A closer examination of small effects reveals two primary reasons for these predictive failures: situational variability and the cost-benefit tradeoffs inherent in all behavioural responses. Together, these considerations indicate that behavioural adjustment to traumatic stress is an ongoing process that necessitates flexible self-regulation. To that end, recent research and theory on flexible self-regulation in the context of resilience are discussed and next steps are considered.
数十年的研究一直表明,潜在创伤后最常见的结果是健康功能的稳定轨迹,即恢复力。然而,预测恢复力的尝试揭示了一个悖论:恢复力结果的相关因素通常非常微弱,以至于无法准确识别谁会对潜在创伤具有恢复力,谁不会。常用的恢复力问卷基本上忽略了这个悖论,只纳入了一些大概的关键预测因素。然而,这些问卷几乎没有预测效用。相反的方法,即使用多变量建模或机器学习尽可能多地捕捉预测因素,也未能完全解决这个悖论。对微小效应的仔细研究揭示了这些预测失败的两个主要原因:情境变异性以及所有行为反应中固有的成本效益权衡。综合这些考虑因素表明,对创伤性压力的行为调整是一个持续的过程,需要灵活的自我调节。为此,本文讨论了近期关于恢复力背景下灵活自我调节的研究和理论,并考虑了下一步措施。