Department of Psychology.
J Abnorm Psychol. 2021 Jan;130(1):47-59. doi: 10.1037/abn0000643. Epub 2020 Nov 12.
Whereas there is extensive research on factors that contribute to vulnerability for depression and anxiety, research on how to promote mental health or offset risk effects in individuals likely to develop these disorders is lacking. Resilience models focus on risk, resource, and protective factors and their relationships. The current longitudinal study evaluated whether extraversion and interpersonal support functioned in resource or protective roles in relation to unipolar mood disorder (UMD), anxiety disorder (AD), and comorbid diagnoses. Data from 534 adolescents over a 3-year period were examined in a series of survival analyses to predict future disorder onset. The linear effect of extraversion significantly interacted with neuroticism predicting UMD diagnoses with extraversion conferring protection and introversion conferring risk at high levels of neuroticism. The quadratic effect of extraversion significantly interacted with neuroticism predicting AD and comorbid diagnoses such that extraversion escalated risk for diagnoses at high levels of neuroticism. The quadratic effect of extraversion was significant in comorbidity models, demonstrating increased risk as one progresses from slight extraversion to extreme introversion, independent of neuroticism. Interpersonal support significantly predicted UMD, AD, and comorbid diagnoses in an approximately linear fashion. Specificity tests indicated that these effects remained when including the other diagnosis in each model. Findings suggest the value of attending to extraverted traits and encouraging social connection regardless of risk status in prevention and treatment approaches. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
尽管有大量研究探讨了导致抑郁和焦虑易感性的因素,但关于如何促进心理健康或抵消易患这些疾病的个体的风险影响的研究却很少。韧性模型侧重于风险、资源和保护因素及其关系。本纵向研究评估了外向性和人际关系在与单相心境障碍(UMD)、焦虑障碍(AD)和共病诊断相关的资源或保护角色中的作用。在一系列生存分析中,对 534 名青少年 3 年的数据进行了检查,以预测未来的疾病发作。外向性的线性效应与神经质显著交互,预测 UMD 诊断,在神经质水平高的情况下,外向性提供保护,内向性提供风险。外向性的二次效应与神经质显著交互,预测 AD 和共病诊断,使得外向性在神经质水平高的情况下增加了诊断风险。外向性的二次效应在共病模型中具有统计学意义,表明无论神经质如何,从轻度外向到极端内向的转变都会增加风险。人际关系支持以近似线性的方式显著预测 UMD、AD 和共病诊断。特异性测试表明,当在每个模型中包含其他诊断时,这些影响仍然存在。研究结果表明,在预防和治疗方法中,关注外向型特征和鼓励社会联系的价值,无论风险状况如何。