Jamieson Issac, Winter Taylor, Mason Andre, Fehoko Edmond, Arahanga-Doyle Hitaua, Fox Ririwai, Scarf Damian
Department of Psychology, University of Otago, Dunedin, New Zealand.
School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand.
Aust N Z J Psychiatry. 2025 Feb;59(2):162-170. doi: 10.1177/00048674241307159. Epub 2024 Dec 30.
Mental illness stigma continues to be pervasive and problematic in society. Researchers have attempted to better understand this stigma through investigations into demographic factors that may predict stigma, focusing on factors such as age, ethnicity and education.
We investigated demographic factors in the context of Aotearoa New Zealand, with a particular focus on Māori, the Indigenous people of Aotearoa. We used data from the Health Promotion Agency, which collected representative samples from Aotearoa across three survey waves (total = 3518). Assessment instruments were the Mental Health Knowledge Scale (MAKS), the Reported and Intended Behaviour Scale (RIBS) and the Community Mental Health Ideology subscale of the Community Attitudes towards the Mentally Ill (CAMI). Using linear mixed-effects model we controlled for several demographic variables (e.g. age, biological sex, education and socioeconomic status) and additional variables (e.g. having a psychological condition and whether participants knew someone with mental illness) across three models for each measure.
The results revealed that mental illness stigma was lower among both Māori and European participants. Additional variables and their associations with mental illness stigma are also discussed.
Overall, this study illustrates mental illness stigma as lower among Indigenous people in Aotearoa, which prompts further research into ethnicity and mental illness stigma as well as non-Western understandings of mental illness.
精神疾病污名化在社会中仍然普遍存在且问题严重。研究人员试图通过调查可能预测污名化的人口统计学因素来更好地理解这种污名化,重点关注年龄、种族和教育等因素。
我们在新西兰奥特亚罗瓦的背景下调查了人口统计学因素,特别关注毛利人,即奥特亚罗瓦的原住民。我们使用了健康促进局的数据,该局在三次调查浪潮中从奥特亚罗瓦收集了代表性样本(共计3518人)。评估工具包括心理健康知识量表(MAKS)、报告和预期行为量表(RIBS)以及社区对精神疾病态度(CAMI)中的社区心理健康意识形态子量表。我们使用线性混合效应模型,在针对每项测量的三个模型中控制了几个人口统计学变量(如年龄、生理性别、教育程度和社会经济地位)以及其他变量(如有心理疾病以及参与者是否认识有精神疾病的人)。
结果显示,毛利人和欧洲参与者中的精神疾病污名化程度较低。还讨论了其他变量及其与精神疾病污名化的关联。
总体而言,本研究表明新西兰奥特亚罗瓦的原住民中精神疾病污名化程度较低,这促使对种族与精神疾病污名化以及非西方对精神疾病理解的进一步研究。