Cognitive impairment is common in people with mental disorders, leading to transdiagnostic classification based on cognitive characteristics. However, few studies have used this approach for intellectual abilities and functional outcomes.

The present study aimed to classify people with mental disorders based on intellectual abilities and functional outcomes in a data-driven manner.

Seven hundred and forty-nine patients diagnosed with schizophrenia, bipolar disorder, major depression disorder or autism spectrum disorder and 1030 healthy control subjects were recruited from facilities in various regions of Japan. Two independent k-means cluster analyses were performed. First, intelligence variables (current estimated IQ, premorbid IQ, and IQ discrepancy) were included. Second, number of work hours per week was included instead of premorbid IQ.

Four clusters were identified in the two analyses. These clusters were specifically characterised in terms of IQ discrepancy in the first cluster analysis, whereas the work variable was the most salient feature in the second cluster analysis. Distributions of clinical diagnoses in the two cluster analyses showed that all diagnoses were unevenly represented across the clusters.

Intellectual abilities and work outcomes are effective classifiers in transdiagnostic approaches. The results of our study also suggest the importance of diagnosis-specific strategies to support functional recovery in people with mental disorders.

Perceived discrimination has been linked to psychotic experiences (PEs). However, as yet, information is lacking on the relationship between different forms of discrimination and PEs. This study examined this association in the English general population.

Nationally representative, cross-sectional data were analyzed from 7363 adults aged 16 and above that came from the Adult Psychiatric Morbidity Survey, 2007. Self-reported information was obtained on six forms of discrimination (ethnicity, sex, religious beliefs, age, physical health problems/disability, sexual orientation), while PEs were assessed with the Psychosis Screening Questionnaire (PSQ). Multivariable logistic regression analysis was used to assess associations.

In a fully adjusted logistic regression analysis, any discrimination was significantly associated with PEs (odds ratio [OR]: 2.47, 95% confidence interval [CI]: 1.75–3.48). All individual forms of discrimination were significantly associated with PEs except sexual orientation. Multiple forms of discrimination were associated with higher odds for PEs in a monotonic fashion with those experiencing ≥ 3 forms of discrimination having over 5 times higher odds for any PE. In addition, experiencing any discrimination was associated with significantly increased odds for all individual forms of PE with ORs ranging from 2.16 (95%CI: 1.40–3.35) for strange experience to 3.36 (95%CI: 1.47–7.76) for auditory hallucination.

Different forms of discrimination are associated with PEs in the general population. As discrimination is common at the societal level, this highlights the importance of public policy and evidence-based interventions to reduce discrimination and improve population mental health.