Sociodemographic and COVID-Related Predictors for Mental Health Condition of Mainland Chinese in Canada Amidst the Pandemic

Linke Yu, Mariah Lecompte, Weiguo Zhang, Peizhong Wang and Lixia Yang
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Linke Yu: Department of Psychology, Ryerson University, Toronto, ON M5B 2K3, Canada
Mariah Lecompte: Department of Psychology, Ryerson University, Toronto, ON M5B 2K3, Canada
Weiguo Zhang: Department of Sociology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada
Peizhong Wang: Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
Lixia Yang: Department of Psychology, Ryerson University, Toronto, ON M5B 2K3, Canada

IJERPH, 2021, vol. 19, issue 1, 1-13

Abstract: 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 β s = 1.19–7.11, p 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 β s = 1.33–3.45, p 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.

Keywords: COVID-19; mental health; Mainland Chinese; sociodemographic predictors; COVID-19-related predictors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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