Department of Psychological Medicine, National University Health System, Singapore, Singapore.
Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
BMC Psychiatry. 2022 Apr 28;22(1):301. doi: 10.1186/s12888-022-03942-y.
Major depressive disorder (MDD) is a global public health concern that is notably underdiagnosed and undertreated due to its complexity and subjective diagnostic methods. A holistic diagnostic procedure, which sufficiently considers all possible contributors to MDD symptoms, would improve MDD diagnosis and treatment. This study aims to explore whether personality and coping styles can predict MDD status and differentiate between depressed patients and healthy individuals.
Seventy healthy controls (N = 54 females) were matched to 70 MDD patients for age, sex, ethnicity, and years of education. MDD severity was measured using the Hamilton Depression Rating Scale, while personality traits and coping styles were measured by the Ten-Item Personality (TIPI) and Brief COPE questionnaires, respectively. Logistic regression analyses were conducted to investigate the diagnostic and predictive potential of personality and coping styles. Receiver operating characteristic (ROC) analyses were also conducted to examine their discriminative ability to distinguish between depressed and healthy individuals.
Introversion, lack of organisation skills, and neuroticism were statistically significant in predicting MDD status. Dysfunctional coping strategies, such as denial and self-blame, were also shown to significantly predict MDD status. ROC analyses found both the TIPI questionnaire (AUC = 0.90), and dysfunctional coping (as measured by Brief COPE) (AUC = 0.90) to be excellent predictors of MDD.
Our findings demonstrate the diagnostic and predictive potential of personality and coping styles for MDD in the clinical setting. They also demonstrate the remarkable ability of personality and coping styles to differentiate between depressed patients and healthy controls.
重度抑郁症(MDD)是一个全球性的公共卫生问题,由于其复杂性和主观诊断方法,该病的漏诊和治疗不足。一种全面的诊断程序,如果充分考虑到导致 MDD 症状的所有可能因素,将改善 MDD 的诊断和治疗。本研究旨在探讨人格和应对方式是否可以预测 MDD 状态,并区分抑郁患者和健康个体。
将 70 名健康对照组(N=54 名女性)与 70 名 MDD 患者按年龄、性别、种族和受教育年限进行匹配。使用汉密尔顿抑郁评定量表(Hamilton Depression Rating Scale)评估 MDD 严重程度,使用 10 项人格量表(Ten-Item Personality,TIPI)和Brief COPE 问卷分别评估人格特质和应对方式。采用逻辑回归分析探讨人格和应对方式的诊断和预测潜力。还进行了接收者操作特征(Receiver Operating Characteristic,ROC)分析,以检查它们区分抑郁和健康个体的能力。
内向、缺乏组织能力和神经质在预测 MDD 状态方面具有统计学意义。功能失调的应对策略,如否认和自责,也被证明可以显著预测 MDD 状态。ROC 分析发现 TIPI 问卷(AUC=0.90)和功能失调的应对方式(通过 Brief COPE 测量)(AUC=0.90)都是 MDD 的优秀预测指标。
我们的研究结果表明,人格和应对方式对 MDD 的临床诊断和预测具有潜在价值。它们还表明,人格和应对方式具有区分抑郁患者和健康对照的显著能力。