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Cited by 123Suicide and Self-Harm StudiesMental Health Research TopicsMental Health via Writing

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

Ben-Zeev, Dror, Young, Michael A., Depp, Colin A.·2012·Psychiatry Research
DOI 10.1016/j.psychres.2011.11.025
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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.

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  • Differences between cross-sectional and temporal analyses have been reported, leading Kleiman and Nock to distinguish between correlates, predictors, and predictors of change for suicidal ideation.

    “Differences between cross-sectional and temporal analyses have also been reported by Kleiman and Nock (2018) and Ben-Zeev et al. (2012), which led Kleiman and Nock to distinguish between correlates, predictors, and predictors of change for SI (Kleiman and Nock, 2018).”

    From Modelling suicide ideation from beep to beep: application of network analysis to ecological momentary assessment data (2019) · cites this paper as Ben-Zeev et al., 2012

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Authors
Ben-Zeev, D., Young, M. A., & Depp, C. A.
Affiliations
  • Illinois Institute of Technology (US)
  • University of California San Diego (US)
ORCID
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2012-05
Volume
197
Issue
1-2
Pages
55-59
ISSN
0165-1781 (ISSN-L)
DOI
10.1016/j.psychres.2011.11.025
OpenAlex
W2043884660
Cited by
122
References
43
Citations by year
2026: 6 · 2025: 10 · 2024: 12 · 2023: 8 · 2022: 12 · 2021: 13 · 2020: 8 · 2019: 6 · 2018: 9 · 2017: 8 · 2016: 8 · 2015: 12 · 2014: 6 · 2013: 2 · 2012: 2
FWCI
7.99
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Psychiatry Research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Keywords
suicidal ideation, major depressive disorder, hospitalized patients, mobile assessment, ecological momentary assessment, sadness, tension, boredom, hopelessness, suicide attempts, depression severity, behavioral activation, relaxation
MeSH terms
Adult, Depression, Female, Hospitalization, Humans, Longitudinal Studies, Male, Middle Aged, Predictive Value of Tests, Psychiatric Status Rating Scales, Surveys and Questionnaires, Regression Analysis, Suicide, Attempted, Suicidal Ideation

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