Traditional categorical classifications of personality disorders (PD) have been criticized for insufficient structural and cross-cultural validity. In the DSM-5 Section III, alternative model of the PDs (AMPD), the maladaptive personality traits are divided into five domains: negative affect, detachment, antagonism, disinhibition and psychoticism. The Personality Inventory for DSM-5 Brief Form (PID-5-BF) is a 25-item self-report questionnaire that measures the severity of each of these five domains. To date, no questionnaires assessing pathological personality traits following the AMPD have been validated in Russia.

This study aimed to investigate the factor structure of the Russian version of PID-5-BF.

Five hundred and 86 (female - 505 (86,2%), age - 18–77 years (M - 28.2, SD - 11.5)) consecutive inpatients with non-psychotic mental disorders were assessed with the Russian language version of the PID-5-BF. Exploratory structural equation modelling (ESEM) with Robust Diagonally Weighted Least Squares method of extraction and Robust Equamax rotation was performed in Factor v 11.04.02.

The results of the ESEM analysis showed good fit of the five-factor model (CFI - 0.982; TLI - 0.971; RMSEA (95% CI) - 0.036 (0.01-0.05). Most of the items had the highest factor loadings on their mother domains. However, two items showed weak loadings on their designated factors (<0.4), and attention seeking item had a primary load to (low) detachment instead of antagonism.

The PID-5-BF was found to be a valid and reliable tool for the evaluation of the AMPD trait domain

No significant relationships.

No significant relationships.

Few studies have examined the latent construct of psychotic symptoms or distinguished between the latent construct and its manifest indicators. The current study aimed to investigate the latent structure of psychotic symptoms using factor mixture modeling (FMM) and to use the best-fitting model to examine its sociodemographic and clinical correlates.

The Singapore Mental Health Study (SMHS) was based on an adult representative sample of the Singapore population. Psychotic symptoms were assessed by using the Psychosis Screen section of the Composite International Diagnostic Interview version 3.0 (CIDI 3.0). FMM analyses were applied to determine the latent construct of psychotic symptoms. Sociodemographic and clinical correlates of the latent structure of psychosis symptoms were examined using multiple linear and logistic regression analyses.

The overall weighted lifetime prevalence of any psychotic experience was 3.8% in the SMHS after excluding subthreshold experiences. The FMM analysis clearly supported the dimensional model of the latent structure of psychotic symptoms. On deriving the total score for ‘psychosis symptoms’ in accordance with the one latent trait model, and correlating it with sociodemographic factors, we found that female gender, vocational education, current and past smokers were positively associated with the ‘psychosis’ total score.

There is a need for an increased understanding of, and research into, this intermediate state of ‘psychosis symptoms’ that do not meet diagnostic criteria for psychosis. It is also important to learn more about the group of individuals in the community who may have preserved functioning to elucidate the protective factors that prevent transition to psychosis.