Literature DB >> 23643187

Anger as a predictor of psychological distress and self-harm ideation in inmates: a structured self-assessment diary study.

Naomi Humber1, Richard Emsley, Daniel Pratt, Nicholas Tarrier.   

Abstract

Suicidal ideation and behaviour are common among inmates. Anger is found at exaggerated levels and has been associated with suicidal ideation and behaviour in inmate samples suggesting its possible salience in the prediction of suicide. The study investigated relationships between anger, psychological distress, and self-harm/suicidal ideation among inmates. The principles of Ecological Momentary Assessment were considered and a structured self-assessment diary was utilised to examine relationships between the variables of interest. Participants completed a structured self-assessment diary for six consecutive days which included momentary ratings of items describing psychological states of concurrent affects, thoughts, and appraisals related to anger, psychological distress, and self-harm/suicidal ideation. Psychometric assessment measures were also conducted. Temporal associations between predictors and outcomes were investigated. Multilevel modelling analyses were performed. Increased anger was significantly associated with concurrent high levels of self-harm ideation in inmates, when controlling for depression and hopelessness. Temporal analyses also revealed that anger at one time point did not predict suicidal ideation at the next time point. Elucidating the temporal nature of the relationship between anger, psychological distress, and self-harm/suicidal ideation has advanced understanding of the mechanisms of suicidal behaviour, by demonstrating an increased risk of suicide when a male inmate is angry.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Forensic psychiatry; Inmates; Suicide

Mesh:

Year:  2013        PMID: 23643187     DOI: 10.1016/j.psychres.2013.02.011

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


  11 in total

1.  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

2.  The prediction of study-emergent suicidal ideation in bipolar disorder: a pilot study using ecological momentary assessment data.

Authors:  Wesley K Thompson; Anda Gershon; Ruth O'Hara; Rebecca A Bernert; Colin A Depp
Journal:  Bipolar Disord       Date:  2014-06-05       Impact factor: 6.744

Review 3.  Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review.

Authors:  Alba Sedano-Capdevila; Alejandro Porras-Segovia; Hugo J Bello; Enrique Baca-García; Maria Luisa Barrigon
Journal:  Curr Psychiatry Rep       Date:  2021-05-18       Impact factor: 5.285

4.  Do Patterns and Types of Negative Affect During Hospitalization Predict Short-Term Post-Discharge Suicidal Thoughts and Behaviors?

Authors:  Kate H Bentley; Daniel L Coppersmith; Evan M Kleiman; Erik C Nook; Patrick Mair; Alexander J Millner; Azure Reid-Russell; Shirley B Wang; Rebecca G Fortgang; Michelle B Stein; Stuart Beck; Jeff C Huffman; Matthew K Nock
Journal:  Affect Sci       Date:  2021-09-30

Review 5.  Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies.

Authors:  Brendan Loo Gee; Jin Han; Helen Benassi; Philip J Batterham
Journal:  Digit Health       Date:  2020-11-03

6.  Suicidal Ideation among University Students: A Moderated Mediation Model Considering Attachment, Personality, and Sex.

Authors:  Antonella Granieri; Silvia Casale; Maria Domenica Sauta; Isabella Giulia Franzoi
Journal:  Int J Environ Res Public Health       Date:  2022-05-19       Impact factor: 4.614

7.  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

8.  Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth.

Authors:  Marcel Adam Just; Lisa Pan; Vladimir L Cherkassky; Dana L McMakin; Christine Cha; Matthew K Nock; David Brent
Journal:  Nat Hum Behav       Date:  2017-10-30

Review 9.  Signs of current suicidality in men: A systematic review.

Authors:  Tara Hunt; Coralie J Wilson; Peter Caputi; Alan Woodward; Ian Wilson
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

10.  The environmental, interpersonal, and affective context of nonsuicidal self-injury urges in daily life.

Authors:  Johanna Hepp; Ryan W Carpenter; Lindsey K Freeman; Tayler J Vebares; Timothy J Trull
Journal:  Personal Disord       Date:  2020-09-03
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