Prejudice Toward People With Mental Illness, Schizophrenia, and Depression: Measurement, Structure, and Antecedents.

Objectives: Many existing measures of prejudiced attitudes toward people with mental illness have conceptual, theoretical, and psychometric problems. The recently created Prejudice toward People with Mental Illness (PPMI) scale has addressed many of these limitations, but prejudice toward people with different mental disorders may be unique and require further exploration. This study aimed to facilitate this exploration by adapting the PPMI to focus on schizophrenia and depression, and investigate the structure, distinctiveness, and the nomological network of prejudice toward people with these mental disorders. Study Design: We adapted the original 28-item PPMI scale to create the Prejudice toward People with Schizophrenia (PPS) and Prejudice toward People with Depression (PPD) scales. There were 406 participants from the general population, who completed these scales and related measures. Study Results: The original 4-factor structure (fear/avoidance, unpredictability, authoritarianism, and malevolence) was supported for each scale. Participants expressed the highest levels of prejudice toward people with schizophrenia, followed by prejudice toward people with mental illness, and lastly by prejudice toward people with depression. Analyses supported the proposed nomological network of prejudice, which involves theoretical antecedents of social dominance orientation, right-wing authoritarianism, empathy, personality traits, disgust sensitivity, and prior contact. Conclusions: This research provides evidence for the validity and psychometric properties of the PPMI, PPS, and PPD scales, expanding our understanding of antecedents to prejudice toward people with different mental disorders. This research also shows that we gain more insight into prejudice when we use measures targeting specific disorders rather than mental illness in general.

Prejudice towards people with mental illness, schizophrenia, and depression among mental health professionals and the general population.

The aim of the study was to measure and compare prejudice towards people with specific mental illnesses between mental health professionals and the general population, and examine personality, ideological, and attitudinal antecedents of prejudice. To do so, we also aimed to validate three shortened scales of prejudice. A sample of mental health professionals (N = 299) and a sample from the general population (N = 427) completed shortened versions of the Prejudice towards People with Mental Illness, Prejudice towards People with Schizophrenia, and Prejudice towards People with Depression scales. They also completed measures of validity criteria and demographics. The scales demonstrated construct validity in both samples. Although prejudice was highest towards people with schizophrenia and lowest towards people with depression, mental health professionals demonstrated significantly less prejudice overall than the general population. Prejudice was associated with higher social dominance orientation, right wing authoritarianism, ethnocentrism, conservatism, and generalized prejudice, and lower agreeableness, openness to experience, and contact. These antecedents of prejudice were better predictors than any demographic or profession-related variables examined. This study contributes increased knowledge of the structure and correlates of prejudice towards people with mental disorders. This knowledge should inform more nuanced and effective interventions, therapy, and training.

Is Social Categorization the Missing Link Between Weak Central Coherence and Mental State Inference Abilities in Autism? Preliminary Evidence from a General Population Sample.

We explore the relationship between the 'theory of mind' (ToM) and 'central coherence' difficulties of autism. We introduce covariation between hierarchically-embedded categories and social information--at the local level, the global level, or at both levels simultaneously--within a category confusion task. We then ask participants to infer the mental state of novel category members, and measure participants' autism-spectrum quotient (AQ). Results reveal a positive relationship between AQ and the degree of local/global social categorization, which in turn predicts the pattern of mental state inferences. These results provide preliminary evidence for a causal relationship between central coherence and ToM abilities. Implications with regard to ToM processes, social categorization, intervention, and the development of a unified account of autism are discussed.