The evaluation of non-specific risk indicators in improving detection of psychosis-spectrum liability
Bibliographic Data
| ID | 21621674 |
|---|---|
| Authors | Thomas W O’Kane (0000-0002-0161-8262, Rowan University), Dustin Fife (0000-0002-3368-968X, Rowan University), Dustin A Fife, Thomas J Dinzeo (0000-0002-3933-410X, Rowan University, corresponding author) |
| Year | 2025 |
| Volume | 44 |
| Issue | 18 |
| Pages | 15484-15509 |
| Publication date | 2025-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Current Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1046-1310 • E-ISSN: 1936-4733 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12144-025-08195-y |
| OpenAlex | W4413025109 |
| Language | EN |
| References cited | 46 |
Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g., disrupted sleep, adverse childhood experiences) which contribute to the risk of developing psychosis as well as other mental illnesses. Research suggests the inclusion of these non-specific factors may improve our ability to identify those at risk. The present research collected data on a wide array of both specific and non-specific risk factors to develop a new, more holistic measure of psychosis-spectrum risk. A novel brief measure was developed, the Inclusive Psychosis Risk Inventory (IPRI), which compared favorably to existing psychosis-spectrum risk measures when looking at multiple fit indices as well as when predicting quality of life. The results of this study suggest the IPRI may provide a more holistic, comprehensive snapshot of psychosis-spectrum risk by including both non-specific and specific risk indicators within a single measure. Future research should seek to replicate these findings in more diverse samples and investigate the IPRI’s ability to predict clinical outcomes
Business · Liability · Psychiatry · Psychosis · Schizophrenia Spectrum · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Mental Health and Psychiatry · Psychology · Schizophrenia research and treatment · Accounting
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| Highly cited | No |
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