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Patient predictor variables for six forms of suicidality.
D A Fishbain1, J E Lewis, D Bruns
1University of Miami Miller School of Medicine, Miami, FL 33136, USA. d.fishbain@miami.edu
Predictors of suicidality differ between acute pain patients (APP) and chronic pain patients (CPP). Novel variables like perseverance emerged, with demographic factors (except employment) not being significant predictors in this pain patient study.
Area of Science:
- Psychology
- Clinical Psychology
- Pain Management
Background:
- Research indicates a link between chronic pain and suicidality.
- Understanding predictors of suicidality in pain populations is crucial for intervention.
Purpose of the Study:
- To identify variables predicting suicidality in rehabilitation acute pain patients (APP) and chronic pain patients (CPP).
- To explore specific predictors for six distinct suicidality items.
Main Methods:
- Utilized the Battery for Health Improvement-Research Version (BHI-R) in a sample including healthy individuals, community patients, APPs, CPPs, and non-pain rehabilitation patients.
- Employed logistic regression to develop predictor models for each suicidality item in APPs and CPPs.
Main Results:
- Predictor variables for suicidality varied significantly between APPs and CPPs, and across different suicidality items.
- Identified known predictors (e.g., substance abuse) and novel factors (e.g., perseverance).
- Demographic variables, except employment, were not predictive, contrasting with general suicide literature.
Conclusions:
- Suicidality predictors are differentially distributed in acute versus chronic pain patients.
- Certain suicidality predictors appear unique to individuals experiencing pain.
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