Confirmatory factor analysis of competing PANSS negative symptom models: data from OPTiMiSE first-episode schizophrenia study
Year: 2025
Type: article
Abstract: BACKGROUND: The negative symptoms of psychosis are heterogeneous, which complicates efforts to understand their pathophysiology and develop effective treatments. Factor analytic studies of the Positive and Negative Syndrome Scale (PANSS) have reported two factorial negative symptom models, expressive deficit and social amotivation, albeit with different compositions. Although models derived from other assessment scales have been directly compared, no study has previously applied this approach to PANSS. AIMS: Our objectives were to (a) to establish which negative PANSS-derived factorial model provided the best fit to our data, (b) test its stability and (c) determine its clinical and demographic correlates. METHOD: = 446) were assessed using the PANSS scale before and 4 weeks after amisulpride treatment. Confirmatory factor analysis was performed to test five PANSS models. Hierarchical multiple regression was conducted to examine the associations between identified dimensions and clinical and demographic variables. RESULTS: A nine-item PANSS model comprising social amotivation and expressive deficit dimensions outperformed the other models: comparative fit index = 0.98, goodness of fit index = 0.97, Tucker-Lewis index = 0.97, root mean square error of approximation = 0.06 (CI 90%: 0.04-0.08), Bayesian information criterion = 191.9, Akaike information criterion = 101.7. At baseline, the social amotivation dimension was associated with more severe depression whereas the expressive deficit dimension was associated with younger age. Both dimensions at baseline were associated with poor functioning, but expressive deficit to a lesser extent. CONCLUSIONS: A nine-item PANSS model incorporating social amotivation and expressive deficit dimensions appeared to best reflect the underlying structure of negative symptoms in our sample.
Source: BJPsych Open
Institutions: King's College London, Universidad Complutense de Madrid, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Investigación Sanitaria Gregorio Marañón, University of Copenhagen, Copenhagen University Hospital, Instituto de Salud Carlos III, Research Institute Hospital 12 de Octubre, Hospital Universitario 12 De Octubre, Mental Health Services, Icahn School of Medicine at Mount Sinai, University of Oxford
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,550
Funder: European Commission
OpenAlex ID: W4417271355
