Literature DB >> 22397912

Real-time predictors of suicidal ideation: mobile assessment of hospitalized depressed patients.

Dror Ben-Zeev1, Michael A Young, Colin A Depp.   

Abstract

Suicidal ideation is a risk factor for suicide attempt and completion. Cross-sectional or retrospective studies cannot capture the dynamic course and possible predictors of suicidal ideation as it occurs in daily life. This study utilizes an experience sampling paradigm to identify real-time predictors of suicidal ideation in inpatients with major depressive disorder. Thirty-one depressed patients admitted to a psychiatric unit were signaled by a mobile device to record suicidal ideation, affect, and other symptoms, multiple times a day over 1 week. Participants completed a total of 1350 questionnaires. Seventy-four percent of the sample reported suicidal ideation during the week. Time-lagged analyses revealed that momentary ratings of Sadness, Tension, and Boredom (as well as suicidal ideation itself) predicted subsequent suicidal thoughts in the following hours. Baseline severity of depression and past suicide attempts were both correlated with mean ideation severity during the week. A number of predictors identified in prior research (e.g. hopelessness) were unrelated to subsequent suicidal ideation in the current study. Momentary interventions that guide individuals through activities designed to reduce levels of Sadness, Tension, and Boredom in real-time (e.g., thought challenging, relaxation, behavioral activation) may be especially warranted.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22397912     DOI: 10.1016/j.psychres.2011.11.025

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  33 in total

1.  Depressive symptoms and age of alcohol use onset interact to predict suicidal ideation.

Authors:  Caitlin Wolford-Clevenger; Karen L Cropsey
Journal:  Death Stud       Date:  2019-04-02

2.  Ecological momentary assessment (EMA) of depression-related phenomena.

Authors:  Michael F Armey; Heather T Schatten; Natasha Haradhvala; Ivan W Miller
Journal:  Curr Opin Psychol       Date:  2015-08-01

Review 3.  Using ambulatory assessment to measure dynamic risk processes in affective disorders.

Authors:  Jonathan P Stange; Evan M Kleiman; Robin J Mermelstein; Timothy J Trull
Journal:  J Affect Disord       Date:  2019-08-19       Impact factor: 4.839

Review 4.  Investigating dynamics and predictors of suicidal behaviors using ambulatory assessment.

Authors:  Lena Spangenberg; Thomas Forkmann; Heide Glaesmer
Journal:  Neuropsychiatr       Date:  2015-04-14

5.  Sadness: diagnosis, evaluation, and treatment.

Authors:  Hermioni N Lokko; Theodore A Stern
Journal:  Prim Care Companion CNS Disord       Date:  2014-11-20

6.  Using Intensive Longitudinal Data to Identify Early Predictors of Suicide-Related Outcomes in High-Risk Adolescents: Practical and Conceptual Considerations.

Authors:  Ewa K Czyz; Jamie R T Yap; Cheryl A King; Inbal Nahum-Shani
Journal:  Assessment       Date:  2020-07-15

7.  Differentiating Adolescent Suicide Attempters and Ideators: A Classification Tree Analysis of Risk Behaviors.

Authors:  Alexis M May; Ewa K Czyz; Brady T West
Journal:  J Adolesc Health       Date:  2020-06-21       Impact factor: 5.012

8.  Longitudinal decreases in suicidal ideation are associated with increases in salience network coherence in depressed adolescents.

Authors:  Jaclyn Schwartz; Sarah J Ordaz; Tiffany C Ho; Ian H Gotlib
Journal:  J Affect Disord       Date:  2018-11-03       Impact factor: 4.839

9.  Technology, society, and mental illness: challenges and opportunities for assessment and treatment.

Authors:  Philip D Harvey; Richard Se Keefe
Journal:  Innov Clin Neurosci       Date:  2012-11

10.  Ecological assessment of daily suicidal thoughts and attempts among suicidal teens after psychiatric hospitalization: Lessons about feasibility and acceptability.

Authors:  E K Czyz; C A King; I Nahum-Shani
Journal:  Psychiatry Res       Date:  2018-06-21       Impact factor: 3.222

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