Leibniz Institute for Resilience Research, Mainz, Germany.
Department of Clinical Psychology and Psychotherapy, Saarland University, Saarbrücken, Germany.
Transl Psychiatry. 2023 Oct 23;13(1):328. doi: 10.1038/s41398-023-02603-2.
Resilience can be viewed as trajectory of stable good mental health or the quick recovery of mental health during or after stressor exposure. Resilience factors (RFs) are psychological resources that buffer the potentially negative effects of stress on mental health. A problem of resilience research is the large number of conceptually overlapping RFs complicating their understanding. The current study sheds light on the interrelations of RFs in the face of the COVID-19 pandemic as a use case for major disruptions. The non-preregistered prospective study assessed a sample of 1275 German-speaking people from February 2020 to March 2021 at seven timepoints. We measured coping, hardiness, control beliefs, optimism, self-efficacy, sense of coherence (SOC), sense of mastery, social support and dispositional resilience as RFs in February 2020, and mental health (i.e., psychopathological symptoms, COVID-19-related rumination, stress-related growth) at all timepoints. Analyses used partial correlation network models and latent growth mixture modeling (LGMM). Pre-pandemic RFs were strongly interrelated, with SOC being the most central node. The strongest associations emerged between coping using emotional support and social support, SOC and sense of mastery, and dispositional resilience and self-efficacy. SOC and active coping were negatively linked. When we examined RFs as predictors of mental health trajectories, SOC was the strongest predictor of psychopathological symptoms and rumination, while trajectories of stress-related growth were predicted by optimism. Subsequent network analyses, including individual intercepts and slopes from LGMM, showed that RFs had small to moderate associations with intercepts but were unrelated to slopes. Our findings provide evidence for SOC playing an important role in mental distress and suggest further examining SOC's incremental validity. However, our results also propose that RFs might be more important for stable levels of mental health than for adaptation processes over time. The differential associations for negative and positive outcomes support the use of multidimensional outcomes in resilience research.
韧性可以被视为稳定良好心理健康的轨迹,或者是在压力源暴露期间或之后心理健康快速恢复的轨迹。韧性因素 (RFs) 是心理资源,可以缓冲压力对心理健康的潜在负面影响。韧性研究的一个问题是,概念上重叠的 RFs 数量众多,使得它们的理解变得复杂。本研究以 COVID-19 大流行为例,探讨了 RFs 的相互关系,因为这是一个重大干扰的案例。这项非预先注册的前瞻性研究于 2020 年 2 月至 2021 年 3 月在七个时间点评估了一个由 1275 名讲德语的人组成的样本。我们在 2020 年 2 月测量了应对、坚韧、控制信念、乐观、自我效能、心理一致感 (SOC)、掌握感、社会支持和特质韧性作为 RFs,并在所有时间点测量了心理健康(即心理病理症状、与 COVID-19 相关的沉思、与压力相关的成长)。分析使用部分相关网络模型和潜在增长混合模型 (LGMM)。大流行前的 RFs 之间存在很强的相互关系,SOC 是最中心的节点。在应对使用情感支持和社会支持、SOC 和掌握感以及特质韧性和自我效能之间出现了最强的关联。SOC 和积极应对呈负相关。当我们将 RFs 作为心理健康轨迹的预测因素进行检验时,SOC 是心理病理症状和沉思的最强预测因子,而与压力相关的成长轨迹则由乐观预测。随后的网络分析,包括 LGMM 的个体截距和斜率,表明 RFs 与截距的关联较小到中等,但与斜率无关。我们的研究结果为 SOC 在心理困扰中发挥重要作用提供了证据,并表明进一步研究 SOC 的增量有效性。然而,我们的结果还表明,RFs 对于稳定的心理健康水平可能比随着时间的推移适应过程更为重要。负面和积极结果的差异关联支持在韧性研究中使用多维结果。