@article{ref1,
title="Utility of single items within the n Suicidal Behaviors Questionnaire-Revised (SBQ-R): a Bayesian network approach and relative importance analysis",
journal="Behavioral sciences (Basel, Switzerland)",
year="2024",
author="Huen, Jenny Mei Yiu and Osman, Augustine and Lew, Bob and Yip, Paul Siu Fai",
volume="14",
number="5",
pages="e410-e410",
abstract="The Suicidal Behaviors Questionnaire-Revised (SBQ-R) comprises four content-specific items widely used to assess the history of suicide-related thoughts, plans or attempts, frequency of suicidal ideation, communication of intent to die by suicide and self-reported likelihood of a suicide attempt. Each item focuses on a specific parameter of the suicide-related thoughts and behaviors construct. Past research has primarily focused on the total score. This study used Bayesian network modeling and relative importance analyses on SBQ-R data from 1160 U.S. and 1141 Chinese undergraduate students. The Bayesian network analysis results showed that Item 1 is suitable for identifying other parameters of the suicide-related thoughts and behaviors construct. The results of the relative importance analysis further highlighted the relevancy of each SBQ-R item score when examining evidence for suicide-related thoughts and behaviors. These findings provided empirical support for using the SBQ-R item scores to understand the performances of different suicide-related behavior parameters. Further, they demonstrated the potential value of examining individual item-level responses to offer clinically meaningful insights. To conclude, the SBQ-R allows for the evaluation of each critical suicide-related thought and behavior parameter and the overall suicide risk.<p /> <p>Language: en</p>",
language="en",
issn="2076-328X",
doi="10.3390/bs14050410",
url="http://dx.doi.org/10.3390/bs14050410"
}