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An investigation of the dual continua model of mental health in the context of eating disorder symptomatology using latent profile analysis1.14 MB
Published VersionCC BY-NC-ND V4.0, Open Access
Journal article
An investigation of the dual continua model of mental health in the context of eating disorder symptomatology using latent profile analysis
British Journal of Clinical Psychology, Vol.62(4), pp.782-799
2023
Abstract
Objective: The dual continua model of mental health suggests that mental well-being and mental illness are two distinct continua that are interrelated in their contributions to overall mental health. This study investigated the dual continua model in individuals with eating disorder symptoms.
Method: Female university students (N = 346) completed measures of mental well-being, eating disorder symptomatology, clinical impairment and psychological distress. Confirmatory factor and latent profile analyses were used to derive underlying mental health profiles.
Results: Results revealed two oblique factors representing the mental well-being and eating disorder symptomatology constructs and four unique mental health profiles that were partially consistent with the dual continua model emerged: 'flourishing', 'vulnerable', 'partially symptomatic and content', and 'languishing'. The derived mental health profiles had unique characteristics described by psychological distress and clinical impairment.
Conclusions: The results did not provide conclusive evidence for the dual continua model as they could also be interpreted in a manner consistent with the unidimensional approach. While the dual continua model is a promising avenue to understand mental health in a way that looks beyond symptoms, these results caution against its rapid adoption and encourage future research to understand how eating disorder symptomatology and positive mental health assets contribute to overall mental health.
Details
- Title
- An investigation of the dual continua model of mental health in the context of eating disorder symptomatology using latent profile analysis
- Authors
- Katharine Scutt (Corresponding Author) - Australian National UniversityKathina Ali (Author) - University of the Sunshine Coast, Queensland, School of Health - PsychologyElizabeth Rieger (Author) - Australian National UniversityConal Monaghan (Author) - Australian National UniversityRachael Ford (Author) - Flinders UniversityEsme Fabry (Author) - Flinders UniversityDan Fassnacht (Author) - University of the Sunshine Coast, Queensland, School of Health - Psychology
- Publication details
- British Journal of Clinical Psychology, Vol.62(4), pp.782-799
- Publisher
- John Wiley & Sons Ltd.
- Date published
- 2023
- DOI
- 10.1111/bjc.12439
- ISSN
- 2044-8260; 0144-6657
- Copyright note
- This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. © 2023 The Authors. British Journal of Clinical Psycholog y published by John Wiley & Sons Ltd on behalf of British Psychological Society.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health - Psychology
- Language
- English
- Record Identifier
- 99966898602621
- Output Type
- Journal article
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- Domestic collaboration
- Web Of Science research areas
- Psychology, Clinical
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