Bizumic Boris, Gunningham Beth
Research School of Psychology, The Australian National University, Canberra, Australian Capital Territory, Australia.
Schizophr Bull Open. 2022 Sep 15;3(1):sgac060. doi: 10.1093/schizbullopen/sgac060. eCollection 2022 Jan.
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.
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.
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.
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.
许多现有的针对精神疾病患者的偏见态度测量方法存在概念、理论和心理测量方面的问题。最近创建的“对精神疾病患者的偏见”(PPMI)量表解决了其中许多局限性,但对不同精神障碍患者的偏见可能具有独特性,需要进一步探索。本研究旨在通过改编PPMI量表以聚焦精神分裂症和抑郁症,促进这一探索,并研究对这些精神障碍患者偏见的结构、独特性和理论网络。
我们改编了最初的28项PPMI量表,创建了“对精神分裂症患者的偏见”(PPS)量表和“对抑郁症患者的偏见”(PPD)量表。共有406名来自普通人群的参与者完成了这些量表及相关测量。
每个量表均支持最初的四因素结构(恐惧/回避、不可预测性、威权主义和恶意)。参与者对精神分裂症患者表达出最高程度的偏见,其次是对精神疾病患者的偏见,最后是对抑郁症患者的偏见。分析支持了所提出的偏见理论网络,该网络涉及社会优势取向、右翼威权主义、同理心、人格特质、厌恶敏感性和先前接触等理论前因。
本研究为PPMI、PPS和PPD量表的有效性和心理测量特性提供了证据,扩展了我们对不同精神障碍患者偏见前因的理解。这项研究还表明,当我们使用针对特定障碍而非一般精神疾病的测量方法时,能更深入地了解偏见。