Sokol Yosef, Eisenheim Edouard
Department of Psychology, Hofstra University, Hempstead, New York.
Department of Psychology, Hofstra University, Hempstead, New York; Department of Psychiatry, Mount Sinai School of Medicine, New York, New York.
Prim Care Companion CNS Disord. 2016 Jan 21;18(1). doi: 10.4088/PCC.15m01824. eCollection 2016.
To examine the relationship between continuous identity and a measure of depression, anxiety, and stress as well as suicidal ideation using 2 validated measures of continuous identity.
A total of 246 subjects recruited from the Amazon Mechanical Turk subject pool who completed a full survey in November 2014 were included in the analyses. Stress, anxiety, and depression severity were measured using the Depression, Anxiety, and Stress Scale. Continuous identity was measured with the Venn continuous identity task and the me/not me continuous identity task.
Multiple regression analyses revealed continuous identity disturbances were significantly associated with depressed mood (R (2) = 0.37, P < .01). Continuous identity also predicted suicide severity, even after controlling for demographic factors, negative life events, and depressed mood. Additionally, predictive discriminant analysis revealed continuous identity, depression severity, and negative life events correctly classified 74.1% of participants into high and low suicide risk groups.
Lack of continuous identity predicted both depression and suicidality severity. Integration of perceived identities may be a worthwhile goal for behavioral interventions aimed at reducing depressed mood and suicidality.
使用两种经过验证的连续身份测量方法,研究连续身份与抑郁、焦虑、压力测量指标以及自杀意念之间的关系。
分析纳入了2014年11月从亚马逊土耳其机器人受试者库招募的246名完成全面调查的受试者。使用抑郁、焦虑和压力量表测量压力、焦虑和抑郁严重程度。使用维恩连续身份任务和我/非我连续身份任务测量连续身份。
多元回归分析显示,连续身份障碍与抑郁情绪显著相关(R(2)=0.37,P<.01)。即使在控制了人口统计学因素、负面生活事件和抑郁情绪后,连续身份也能预测自杀严重程度。此外,预测性判别分析显示,连续身份、抑郁严重程度和负面生活事件将74.1%的参与者正确分类为高自杀风险组和低自杀风险组。
缺乏连续身份预示着抑郁和自杀严重程度。整合感知到的身份可能是旨在减轻抑郁情绪和自杀倾向的行为干预的一个有价值的目标。