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Toward an integrative model of transdiagnostic risk factors and suicide: A network comparison of psychiatric outpatients.
Karnick, Aleksandr T; Fergerson, Ava K; Caulfield, Nicole M; Buerke, Morgan; Albanese, Brian J; Schmidt, Norman B; Capron, Daniel W.
Afiliação
  • Karnick AT; Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA. Electronic address: aleksandrs.karnick@usm.edu.
  • Fergerson AK; Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA. Electronic address: ava.fergerson@usm.edu.
  • Caulfield NM; Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA. Electronic address: nicole.caulfield@usm.edu.
  • Buerke M; Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA. Electronic address: morgan.buerke@usm.edu.
  • Albanese BJ; Auburn University, Auburn, AL, USA. Electronic address: bja0024@auburn.edu.
  • Schmidt NB; Florida State University, Tallahassee FL, USA. Electronic address: nschmidt@fsu.edu.
  • Capron DW; Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA. Electronic address: daniel.capron@usm.edu.
J Psychiatr Res ; 154: 252-260, 2022 10.
Article em En | MEDLINE | ID: mdl-35961181
Predictive models using traditional statistical methods have largely failed to describe suicide etiology. Network theory, which conceptualizes factors as mutually interacting, reinforcing elements of a complex outcome, can model relationships between transdiagnostic and neurocognitive vulnerability factors. The present study used a network approach to produce an atheoretical model of psychological factors and their interrelationships within a population of ideators and non-ideators. We developed two network models (i.e., suicidal ideators and psychiatric controls) describing the relationships between a diverse set of risk factors and symptom measures for a population of psychiatric outpatients. We compared networks using three measures of network structure (i.e., network structure invariance, global strength invariance, edge invariance) and described the differences. Network structures for ideators (N = 229) and non-ideators (N = 454) were stable and accurate. In non-ideators, cognitive-affective depression symptoms (Expected Influence [EI]: 2.06), trauma avoidance (EI: 1.08), and negative affect (EI: 0.81) were most influential to the psychological network. In ideators, cognitive-affective depression symptoms (EI: 1.77), intolerance of uncertainty-negative self-referent implications (EI: 1.29), and negative affect (EI: 1.19) were most influential. Invariance testing did not indicate significant differences in overall network structure between ideators and non-ideators (p = .111), but did indicate significant differences in node strength (p = .013). Significant differences in node EI were detected for intolerance of uncertainty-negative self-referent implications, anxiety sensitivity physical concerns, thwarted belongingness, worry, and negative affect. These findings indicated differences in network structures for suicidal psychiatric outpatients and provide crucial directions for future research on therapeutic targets for suicidal thoughts and behaviors.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suicídio / Tentativa de Suicídio Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Suicídio / Tentativa de Suicídio Idioma: En Ano de publicação: 2022 Tipo de documento: Article