Having a serious mental illness (SMI) is often associated with significant adversities, and people respond differently to adversities. The existing research supports that people with SMI can achieve and maintain positive life outcomes despite experiencing adversities. Resilience, the ability to cope with (or bounce back quickly from) crisis, can help buffer the negative effects of various types of adversities, including chronic illness and disability, and facilitate the psychosocial adaptation process to SMI. Kumpfer’s resilience model, a person-process-context framework, has been widely used to conceptualize, and assess for, resilience in various populations, including people with chronic illnesses and disabilities. However, the research in resilience among people with SMI is very limited. The purpose of this study was to empirically assess the utility of Kumpfer’s resilience model and its proposed predictive components for conceptualizing the adaptation process to SMI. One hundred forty-four participants completed a Qualtrics survey containing demographic questions and a series of validated instruments representing the major components of Kumpfer’s resilience model. Hierarchical regression analysis was used to analyze the data, and the final model explained 71% of the variance of the dependent variable—adaptation to disability. Avoidance coping, internalized stigma, and optimism were significant independent predictors of adaptation to disability. This study supports the utilization of Kumpfer’s resilience model to conceptualize the adaptation to disability process among people with SMI. Implications for rehabilitation counseling practices are discussed.

患有严重的精神疾病（SMI）通常与严重的逆境有关，人们对逆境的反应也有所不同。现有的研究支持患有SMI的人尽管遇到困难也可以实现并维持积极的生活成果。抵御能力是应对危机（或从危机中迅速反弹）的能力，可以帮助缓解各种逆境（包括慢性病和残障）带来的负面影响，并促进心理社会适应SMI的过程。坎普弗（Kumpfer）的应变能力模型是一种基于人员-过程上下文的框架，已被广泛用于概念化和评估各种人群（包括患有慢性病和残疾人的人群）的应变能力。但是，SMI患者之间的复原力研究非常有限。这项研究的目的是从经验上评估Kumpfer的复原力模型及其提议的预测性组件在概念化SMI适应过程方面的效用。一百四十四名参与者完成了Qualtrics调查，其中包括人口统计学问题和一系列经过验证的工具，这些工具代表了Kumpfer复原力模型的主要组成部分。分层回归分析用于分析数据，最终模型解释了因变量的71％的变异-适应残疾。避免应付，内化的污名和乐观情绪是适应残疾的重要独立预测因素。这项研究支持使用Kumpfer的适应力模型来概念化SMI患者对残障过程的适应性。