Department of Psychiatry,Semel Institute for Neuroscience and Human Behavior at UCLA,Los Angeles,California,USA.
Visiting Research Scholar,Semel Institute for Neuroscience and Human Behavior,UCLA,Los Angeles,California,USA.
Int Psychogeriatr. 2019 Feb;31(2):193-202. doi: 10.1017/S1041610217002873. Epub 2018 Jan 16.
ABSTRACTBackground:Traditional perspectives conceptualize resilience as a trait and depression as resulting from resilience deficiency. However, research indicates that resilience varies substantially even among adults who are clinically depressed, as well as across the lifespan of an individual. Few studies have investigated resilience in depression, and even fewer have examined resilience in depressed older adults.
Three hundred thirty-seven adults ≥60 years with major depressive disorder completed the Connor-Davidson Resilience Scale (CD-RISC) and measures of mental health, quality of life (QOL), and medical comorbidity. Exploratory factor analysis was used to explore the factor structure of the CD-RISC. Correlations and general linear models were used to examine associations between resilience and other variables.
The rotated component matrix indicated a four-factor model. Sorting of items by highest factor loading revealed constructs associated with (1) grit, (2) active coping self-efficacy, (3) accommodative coping self-efficacy, and (4) spirituality. Resilience was significantly correlated with increased age, lower cognitive functioning, greater cerebrovascular risk, and greater medical comorbidity. Resilience was negatively associated with mental health symptoms (depression, apathy, and anxiety) and positively associated with QOL. The final optimal model identified less depression, less apathy, greater medical comorbidity, higher QOL, and minority (non-White) race as factors that significantly explained variability in resilience.
Resilience was significantly associated with a range of mental health constructs in a sample of older adults with depression. Future clinical trials and dismantling studies may help determine whether interventions targeting grit, active coping, accommodative coping, and spirituality can increase resilience and help prevent and treat depression in older adults.
摘要
传统观点将韧性概念化为一种特质,将抑郁视为韧性不足的结果。然而,研究表明,即使在患有临床抑郁症的成年人中,以及在个体的整个生命周期中,韧性也有很大的差异。很少有研究调查抑郁症中的韧性,更少的研究调查老年抑郁症患者中的韧性。
337 名年龄在 60 岁及以上的患有重度抑郁症的成年人完成了 Connor-Davidson 韧性量表(CD-RISC)和心理健康、生活质量(QOL)以及医疗合并症的测量。使用探索性因子分析来探索 CD-RISC 的因子结构。使用相关性和一般线性模型来检查韧性与其他变量之间的关联。
旋转成分矩阵表明存在四因子模型。根据最高因子负荷对项目进行排序,揭示了与(1)坚韧、(2)积极应对自我效能、(3)适应应对自我效能和(4)精神性相关的结构。韧性与年龄增长、认知功能下降、脑血管风险增加和医疗合并症增加显著相关。韧性与心理健康症状(抑郁、冷漠和焦虑)呈负相关,与 QOL 呈正相关。最终的最优模型确定了较少的抑郁、较少的冷漠、更多的医疗合并症、更高的 QOL 和少数民族(非白人)种族是显著解释韧性变异性的因素。
在一个患有抑郁症的老年成年人样本中,韧性与一系列心理健康结构显著相关。未来的临床试验和分解研究可能有助于确定针对坚韧、积极应对、适应应对和精神性的干预措施是否可以增加韧性,并帮助预防和治疗老年成年人的抑郁症。