Department of Psychiatry, New York State Psychiatric Institute/Columbia University, New York, NY 10032, USA; Assistance Publique-Hôpitaux de Paris (APHP), Corentin Celton Hospital, Department of Psychiatry, 92130 Issy-les-Moulineaux, France; Paris Descartes University, PRES Sorbonne Paris Cité, Paris, France; INSERM UMR 894, Psychiatry and Neurosciences Center, France.
Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, MD, USA.
J Psychiatr Res. 2017 Dec;95:19-27. doi: 10.1016/j.jpsychires.2017.07.022. Epub 2017 Jul 22.
Identifying predictors of persistence and recurrence of depression in individuals with a major depressive episode (MDE) poses a critical challenge for clinicians and researchers. We develop using a nationally representative sample, the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 34,653), a comprehensive model of the 3-year risk of persistence and recurrence in individuals with MDE at baseline. We used structural equation modeling to examine simultaneously the effects of four broad groups of clinical factors on the risk of MDE persistence and recurrence: 1) severity of depressive illness, 2) severity of mental and physical comorbidity, 3) sociodemographic characteristics and 4) treatment-seeking behavior. Approximately 16% and 21% of the 2587 participants with an MDE at baseline had a persistent MDE and a new MDE during the 3-year follow-up period, respectively. Most independent predictors were common for both persistence and recurrence and included markers for the severity of the depressive illness at baseline (as measured by higher levels on the general depressive symptom dimension, lower mental component summary scores, prior suicide attempts, younger age at onset of depression and greater number of MDEs), the severity of comorbidities (as measured by higher levels on dimensions of psychopathology and lower physical component summary scores) and a failure to seek treatment for MDE at baseline. This population-based model highlights strategies that may improve the course of MDE, including the need to develop interventions that target multiple psychiatric disorders and promotion of treatment seeking to increase access to timely mental health care.
识别患有重度抑郁发作(MDE)个体的抑郁持续和复发的预测因素,对临床医生和研究人员来说是一个巨大的挑战。我们使用具有全国代表性的样本,即国家酒精和相关条件流行病学调查(NESARC;N=34653),开发了一个全面的模型,用于预测基线患有 MDE 的个体在 3 年内持续和复发的风险。我们使用结构方程模型同时研究了四大类临床因素对 MDE 持续和复发风险的影响:1)抑郁疾病的严重程度,2)精神和躯体共病的严重程度,3)社会人口统计学特征,以及 4)寻求治疗的行为。在基线患有 MDE 的 2587 名参与者中,约有 16%和 21%分别在 3 年随访期间出现持续 MDE 和新的 MDE。大多数独立预测因素对持续和复发都有影响,包括基线时抑郁疾病严重程度的标志物(表现为一般抑郁症状维度上的更高水平、更低的心理健康成分总分、既往自杀企图、抑郁发作的年龄更早和更多次的 MDE)、共病严重程度(表现为精神病理学维度上的更高水平和更低的生理健康成分总分)以及基线时未寻求 MDE 的治疗。这个基于人群的模型突出了可能改善 MDE 病程的策略,包括需要开发针对多种精神障碍的干预措施,并促进寻求治疗以增加及时获得心理健康护理的机会。