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The Predictive Properties of Violence Risk Instruments May Increase by Adding Items Assessing Sleep

Bibliographic Data

ID15528161
AuthorsKnut Langsrud (0000-0002-3535-9078, Norwegian University of Science and Technology, corresponding author), Arne Vaaler (0000-0002-4630-1517, Norwegian University of Science and Technology), Gunnar Morken (0000-0003-1972-5901, Norwegian University of Science and Technology), Håvard Kallestad (0000-0002-9173-942X, Norwegian University of Science and Technology), Roger Almvik (0000-0002-7919-7488, Norwegian University of Science and Technology), Tom Palmstierna (0000-0002-0490-7916, Norwegian University of Science and Technology), Ismail Cuneyt Güzey (Norwegian University of Science and Technology)
Year2019
Volume10
Pages323-323
Publication date2019-05-09
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2019.00323
PMID31143136
OpenAlexW2944180966
LanguageEN
Citations received1
References cited26

Background: The psychometric instruments developed for short-term prediction of violence in psychiatric inpatients do not include variables assessing sleep. Disturbances in sleep may precede aggression in this setting. We investigated whether adding information on sleep improved the predictive properties of the Brøset Violence Checklist (BVC). Methods: The study population consists of all patients admitted to a psychiatric intensive care unit (PICU) over a 6-month period who were hospitalized for at least one night ( n = 50). Sleep observed by staff (521 nights), behavior assessed with the BVC (433 days), and aggressive incidents recorded by the Staff Observation Scale-Revised ( n = 14) were included in the analysis. Results: The ability of the BVC to predict aggressive incidents improved from AUC ROC 0.757 to AUC ROC 0.873 when a combined sleep variable including both sleep duration and night-to-night variations of sleep duration was added to the BVC recordings. The combined sleep variable did not significantly predict aggressive incidents (AUC ROC 0.653, p = 0.051). Conclusions: A sleep disturbance variable improves the predictive properties of the BVC in PICUs. Further studies of sleep duration, night-to-night variations in duration of sleep, and aggression are needed

Aggression · Checklist · Predictive validity · Psychiatry · Sleep (system call · Clinical Psychology · Healthcare Decision-Making and Restraints · Medicine · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Suicide and Self-Harm Studies

  • Anti-violence measures developed by ILO and WHO

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    Open Access•Felice Loi, Karl Marlowe•Frontiers in Psychiatry•2017

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    Open Access•David S Chester, Joseph M Dzierzewski•Emotion•2019

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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