Three-factor model of premorbid adjustment in a sample with chronic schizophrenia and first-episode psychosis
| Autor: | Susana Ochoa, Judith Usall, Alexandrina Foix, Ana Barajas, Bernardo Sánchez, Jaume Autonell, Miriam Vilaplana, Iris Baños, Jorge A. Cervilla, Jordi E. Obiols, Victoria Villalta-Gil, Montserrat Dolz, Josep Maria Haro |
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| Rok vydání: | 2013 |
| Předmět: |
Male
Psychosis Adolescent Wilcoxon signed-rank test Varimax rotation Statistics as Topic Bivariate analysis Neuropsychological Tests Developmental psychology Surveys and Questionnaires First episode psychosis Adaptation Psychological medicine Humans Child Biological Psychiatry Principal Component Analysis Age Factors Neuropsychology Retrospective cohort study medicine.disease Psychiatry and Mental health Psychotic Disorders Schizophrenia Chronic Disease Female Schizophrenic Psychology Factor Analysis Statistical Psychology Social Adjustment |
| Zdroj: | Schizophrenia Research. 151:252-258 |
| ISSN: | 0920-9964 |
| Popis: | article i nfo Background: The dimensionality of premorbid adjustment (PA) has been a debated issue, with attempts to determine whether PA is a unitary construct or composed of several independent domains characterized by a differential deterioration pattern and specific outcome correlates. Aims: This study examines the factorial structure of PA, as well as, the course and correlates of its domains. Method: Retrospective study of 84 adult patients experiencing first-episode psychosis (FEP) (n = 33) and individuals with schizophrenia (SCH) (n = 51). All patients were evaluated with a comprehensive battery of instruments including clinical, functioning and neuropsychological variables. A principal component analysis accompanied by a varimax rotation method was used to examine the factor structure of the PAS-S scale. Paired t tests and Wilcoxon rank tests were used toassess the changes in PAS domains over time. Bivariate correlation anal- yses were performed to analyse the relationship between PAS factors and clinical, social and cognitive variables. Results: PA was better explained by three factors (71.65% of the variance): Academic PA, Social PA and Socio-sexual PA. The academic domain showed higher scores of PA from childhood. Social and clinical variables were more strongly related to Social PA and Socio-sexual PA domains, and the Academic PA domain was exclusively associated with cognitive variables. Conclusion: This study supports previous evidence, emphasizing the validity of dividing PA into its sub-components. A differential deterioration pattern and specific correlates were observed in each PA domains, suggesting that impairments in each PA domain might predispose individuals to develop different expressions of psychotic dimensions. |
| Databáze: | OpenAIRE |
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