Yosef Sokol1, Edouard Eisenheim2. 1. Department of Psychology, Hofstra University, Hempstead, New York. 2. Department of Psychology, Hofstra University, Hempstead, New York; Department of Psychiatry, Mount Sinai School of Medicine, New York, New York.
Abstract
OBJECTIVE: 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. METHOD: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVE: 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. METHOD: 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. RESULTS: 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. CONCLUSION: 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.
Authors: Steven Taylor; Dean McKay; Katherine B Crowe; Jonathan S Abramowitz; Christine A Conelea; John E Calamari; Claudio Sica Journal: Behav Ther Date: 2013-12-11
Authors: Perrine Créquit; Ghizlène Mansouri; Mehdi Benchoufi; Alexandre Vivot; Philippe Ravaud Journal: J Med Internet Res Date: 2018-05-15 Impact factor: 5.428