Misaggregation in mental health is a significant issue. It involves the oversimplification or inaccurate grouping of distinct mental health conditions or experiences. This can lead to misunderstandings, inappropriate treatment approaches, and missed opportunities for early intervention and support. The Mental Illness Microaggressions Scale-Perpetrator Version (MIMS-P) is a recently developed tool to assess misaggregation in mental health and has shown good psychometric performance. However, no tool currently assesses this concept in the Chinese population. Therefore, this study aims to translate and evaluate the psychometric properties of the MIMS-P in the Chinese general population. We examined the factorial structure, convergent and discriminant validity, and reliability. A cross-sectional, web-based survey was conducted from January to February 2024 in China. A total of 566 respondents completed the survey and provided valid responses. The exploratory factor analysis showed a 2-factor structure with 16 items of MIMS-P, but 2 items were removed due to low factor loading (0.96 and RMSEA and SRMR <0.05. A Cronbach’s alpha value of 0.6 indicates moderate internal consistency reliability of the Chinese MIMS-P. Additionally, the MIMS-P demonstrated a significantly positive association with low social expectation scale, low self-control, and negative attitude towards mental health patients, but a negative association with high life satisfaction. The findings suggest that the 2-factor structure with 16 items of the Chinese MIMS-P has satisfactory psychometric properties. However, future studies are needed to assess its performance in other Chinese populations.

Authors:
Richard Xu, Hong Kong Polytechnic University, Hong Kong

About the Presenter(s)
Dr Richard Xu is a University Assistant Professor/Lecturer at Hong Kong Polytechnic University in Hong Kong

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