Factor analysis of the scale of prodromal symptoms: data from the early detection and intervention for the prevention of psychosis program.
Document Type
Article
Publication Date
2-2017
Institution/Department
MMCRI
Journal Title
Early intervention in psychiatry
MeSH Headings
Adolescent, Early Diagnosis, Early Medical Intervention, Female, Humans, Male, Patient Acceptance of Health Care, Prodromal Symptoms, Psychiatric Status Rating Scales, Psychometrics, Psychotic Disorders, Reproducibility of Results, Young Adult
Abstract
AIM: The Scale of Prodromal Symptoms (SOPS) was developed to identify individuals experiencing early signs of psychosis, a critical first step towards early intervention. Preliminary dimension reduction analyses suggested that psychosis-risk symptoms may deviate from the traditional symptom structure of schizophrenia, but findings have been inconsistent. This study investigated the phenomenology of psychosis risk symptoms in a large sample from a multi-site, national study using rigorous factor analysis procedure.
METHODS: Participants were 334 help-seeking youth (age: 17.0 ± 3.3) from the Early Detection and Intervention for the Prevention of Psychosis Program, consisting of 203 participants at clinically higher risk (sum of P scores ≥ 7), 87 with clinically lower risk (sum of P scores
RESULTS: PAF yielded four latent factors explaining 36.1% of total variance: positive symptoms; distress; negative symptoms; and deteriorated thought process. They showed reasonable internal consistency and good convergence validity, and were not orthogonal.
CONCLUSIONS: The empirical factors of the SOPS showed similarities and notable differences compared with the existing SOPS structure. Regrouping the symptoms based on the empirical symptom dimensions may improve the diagnostic validity of the SOPS. Relative prominence of the factors and symptom frequency support early identification strategies focusing on positive symptoms and distress. Future investigation of long-term functional implications of these symptom factors may further inform intervention strategies.
ISSN
1751-7893
First Page
14
Last Page
22
Recommended Citation
Tso, Ivy F; Taylor, Stephan F; Grove, Tyler B; Niendam, Tara; Adelsheim, Steven; Auther, Andrea; Cornblatt, Barbara; Carter, Cameron S; Calkins, Roderick; Ragland, J Daniel; Sale, Tamara; and McFarlane, William R, "Factor analysis of the scale of prodromal symptoms: data from the early detection and intervention for the prevention of psychosis program." (2017). MaineHealth Maine Medical Center. 92.
https://knowledgeconnection.mainehealth.org/mmc/92