Department of Psychology, Ryerson University, Toronto, ON M5B 2K3, Canada.
Department of Sociology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.
Int J Environ Res Public Health. 2021 Dec 24;19(1):171. doi: 10.3390/ijerph19010171.
The current study investigates the mental health condition of Mainland Chinese in Canada and identifies the associated sociodemographic and COVID-19-related predictors. A sample of 471 Mainland Chinese aged 18 or older completed an online survey that collected information on demographics, experience, cognition, and behaviours related to the COVID-19 pandemic and mental health condition. Mental health condition was assessed with the Depression, Anxiety, and Stress Scale-21 (DASS-21) for the depression, anxiety, and stress levels of Mainland Chinese during the pandemic. Moderate to severe depression, anxiety, and stress levels were respectively reported by 11.30%, 10.83%, and 5.10% of respondents. Univariate analysis of variance models (ANOVAs) were conducted to assess mental health condition variance as stratified by independent sociodemographic- or COVID-19-related explanatory variables, to identify possible predictors to be entered into the subsequent regression models. The regression models identified age, income level, health status, and perceived discrimination as significant sociodemographic predictors (absolute value of s = 1.19-7.11, s < 0.05), whereas self-infection worry, attitude towards Canadian measures, information confusion, food/goods stocking, and room cleaning/sanitizing were identified as significant COVID-19-reltaed predictors (absolute value of s = 1.33-3.45, s < 0.05) for mental health outcomes. The results shed light on our understanding of the major factors associated with the mental health condition of Mainland Chinese in Canada during the COVID-19 pandemic.
本研究调查了加拿大中国大陆人群的心理健康状况，并确定了相关的社会人口学和 COVID-19 相关预测因素。一个由 471 名年龄在 18 岁或以上的中国大陆人组成的样本完成了一项在线调查，该调查收集了与 COVID-19 大流行和心理健康状况相关的人口统计学、经历、认知和行为信息。心理健康状况采用抑郁、焦虑和压力量表-21（DASS-21）评估，评估了疫情期间中国大陆人的抑郁、焦虑和压力水平。分别有 11.30%、10.83%和 5.10%的受访者报告了中度至重度抑郁、焦虑和压力水平。单变量方差分析（ANOVA）模型用于评估独立的社会人口学或 COVID-19 相关解释变量分层后的心理健康状况方差，以确定可能的预测因素进入后续回归模型。回归模型确定年龄、收入水平、健康状况和感知歧视为重要的社会人口学预测因素（s 的绝对值为 1.19-7.11，s<0.05），而自我感染担忧、对加拿大措施的态度、信息混淆、食品/货物储存和房间清洁/消毒被确定为心理健康结果的重要 COVID-19 相关预测因素（s 的绝对值为 1.33-3.45，s<0.05）。研究结果阐明了我们对 COVID-19 大流行期间加拿大中国大陆人群心理健康状况相关主要因素的理解。
