Anxiety, depression, and the suicidal spectrum: a latent class analysis of overlapping and distinctive features. Issue 7 (3rd October 2018)

• Record Type: Journal Article
• Authors: Podlogar, Matthew C.; Rogers, Megan L.; Stanley, Ian H.; Hom, Melanie A.; Chiurliza, Bruno; Joiner, Thomas E.
• Is Part Of: Cognition and emotion. Volume 32:Issue 7(2018)
• Page Start: 1464
• Page End: 1477
• Publication Date: 2018-10-03
• Subjects: RDoC -- suicidality -- ideation to action -- tripartite model -- PANAS; Cognition -- Periodicals; Emotions and cognition -- Periodicals; 155.413
• DOI: 10.1080/02699931.2017.1303452
• Languages: English
• ISSNs: 0269-9931

Abstract

ABSTRACT: Anxiety and depression diagnoses are associated with suicidal thoughts and behaviours. However, a categorical understanding of these associations limits insight into identifying dimensional mechanisms of suicide risk. This study investigated anxious and depressive features through a lens of suicide risk, independent of diagnosis. Latent class analysis of 97 depression, anxiety, and suicidality-related items among 616 psychiatric outpatients indicated a 3-class solution, specifically: (1) a higher suicide-risk class uniquely differentiated from both other classes by high reported levels of depression and anxious arousal; (2) a lower suicide-risk class that reported levels of anxiety sensitivity and generalised worry comparable to Class 1, but lower levels of depression and anxious arousal; and (3) a low to non-suicidal class that reported relatively low levels across all depression and anxiety measures. Discriminants of the higher suicide-risk class included borderline personality disorder; report of worthlessness, crying, and sadness; higher levels of anxious arousal and negative affect; and lower levels of positive affect. Depression and anxiety diagnoses were not discriminant between higher and lower suicide risk classes. This transdiagnostic and dimensional approach to understanding the suicidal spectrum contrasts with treating it as a depressive symptom, and illustrates the advantages of a tripartite model for conceptualising suicide risk.