A latent class analysis using the integrated motivational-volitional model of suicidal behaviour: Understanding suicide risk over 36 months

van Eijk, N. L., Wetherall, K., Ferguson, E., O'Connor, D. and O'Connor, R. C. (2023) A latent class analysis using the integrated motivational-volitional model of suicidal behaviour: Understanding suicide risk over 36 months. Journal of Affective Disorders, 336, pp. 9-14. (doi: 10.1016/j.jad.2023.05.028) (PMID:37196933)

Abstract

Background: The use of latent class analysis (LCA) to understand suicide risk is often not guided by theoretical frameworks. This study used the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour to inform the classification of subtypes of young adults with a suicidal history. Methods: Data from young adults in Scotland (n = 3508) were used in this study including a subgroup of participants (n = 845) with a history of suicidality. LCA using risk factors from the IMV model was conducted on this subgroup, and the subgroups and non-suicidal control group were compared. Trajectories of suicidal behaviour over 36 months was compared between the classes. Results: Three classes were identified. Class 1 (62 %) had low scores on all risk factors, Class 2 (23 %) had moderate scores, and Class 3 (14 %) had high scores on all risk factors. Those in Class 1 had a stable low risk of suicidal behaviour, while those in Class 2 and 3 showed marked variation over time, although Class 3 had the highest risk across all timepoints. Limitations: The rate of suicidal behaviour in the sample was low, and differential dropout may have impacted the findings. Conclusions: These findings suggest that young adults can be classified into different profiles based on suicide risk variables derived from the IMV model, which still distinguishes them 36 months later. Such profiling may help determining who is most at risk for suicidal behaviour over time.

• Item Type: Articles
• Additional Information: This study was originally funded by a grant from US Department of Defense (W81XWH-12-1-0007). Further funding was provided by a grant from the Mindstep Foundation.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wetherall, Miss Karen and O'Connor, Professor Rory
• Authors: van Eijk, N. L., Wetherall, K., Ferguson, E., O'Connor, D., and O'Connor, R. C.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing
• Journal Name: Journal of Affective Disorders
• Publisher: Elsevier
• ISSN: 0165-0327
• ISSN (Online): 1573-2517
• Published Online: 15 May 2023
• Copyright Holders: Copyright © 2023 Elsevier B.V.
• First Published: First published in Journal of Affective Disorders 336: 9-14
• Publisher Policy: Reproduced in accordance with the publisher copyright policy