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Suicide Ideation and Thwarted Interpersonal Needs among Psychiatric Inpatients: A Network Approach
Sarah L Brown1, Andrew J Marshall1,2, Sean M Mitchell1,3
1Department of Psychological Sciences, Mail Stop 2051, Texas Tech University, Lubbock, TX 79409-2051.
Item-level network analysis identified specific feelings of burden and not belonging as key predictors of suicide ideation in psychiatric patients. This approach offers new insights into understanding and assessing suicide risk.
Area of Science:
- Psychology
- Psychiatry
- Network Analysis
Background:
- The interpersonal psychological theory of suicide (IPTS) posits that thwarted belongingness (TB) and perceived burdensomeness (PB) contribute to suicidal ideation.
- Previous research often utilized subscale scores, potentially obscuring nuanced relationships between specific facets of these constructs and suicide risk.
Purpose of the Study:
- To evaluate the utility of item-level network analysis in examining the IPTS.
- To test the predictive validity of specific TB and PB items on passive and active suicide ideation.
- To explore the network structure of TB and PB facets.
Main Methods:
- Conducted an item-level network analysis on data from 402 psychiatric inpatients.
- Utilized items from the Interpersonal Needs Questionnaire to assess TB and PB.
- Compared the predictive power of individual facets against full subscales for suicide ideation.
Main Results:
- Only two specific items, representing feelings of burden on society and not belonging, uniquely predicted both passive and active suicide ideation.
- The tested facets of TB and PB did not form distinct, separate clusters within the network.
- Item-level analysis revealed specific predictors beyond broader subscale scores.
Conclusions:
- Item-level network analysis provides a more granular understanding of suicide risk factors within the IPTS framework.
- Specific feelings of burdensomeness and thwarted belongingness are critical targets for assessment and intervention.
- This methodology holds significant implications for conceptualizing, assessing, and predicting suicide risk in clinical settings.
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