ArticleInternational journal of environmental research and public health2021
Sociodemographic and COVID-Related Predictors for Mental Health Condition of Mainland Chinese in Canada Amidst the Pandemic.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Prevalence and Sociodemographic Correlates of Mental Health Symptoms Among Canadian Youth: A Cross-Sectional Study.Clinical child psychology and psychiatry · 2026Article
- Impacts of Perceived Discrimination During the COVID-19 Pandemic on Depression Among Older Chinese Immigrants in Aotearoa New Zealand.Journal of aging and health · 2026Article
- An age and gender stratified interview on emotional experiences and coping of Chinese migrants in Canada amidst the pandemic.BMC psychology · 2025Article
- Resilience in Japanese Older Immigrants in Canada and the Role of Community Support During the COVID-19 Pandemic.Journal of cross-cultural gerontology · 2025Article
- Risk Predictors and Cognitive Outcomes of the Psychosocial Functioning of North American Older Adults During the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2025Article
- The relationship between safety measures, preparedness, and mental health outcomes in New York City during the COVID-19 pandemic.Frontiers in psychiatry · 2025Article
- Psychological Wellbeing and Life Satisfaction among Chinese Older Immigrants in Canada across the Early and Late Stages of the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2024Article
- Delayed Access to Medical Care and Psychological Distress among Chinese Immigrants in Canada during the Pandemic.Healthcare (Basel, Switzerland) · 2024Article
- Understanding the Risk of Social Vulnerability for the Chinese Diaspora during the COVID-19 Pandemic: A Model Driving Risk Perception and Threat Appraisal of Risk Communication-A Qualitative Study.International journal of environmental research and public health · 2024Article
- Mental health conditions of Chinese international students and associated predictors amidst the pandemic.Journal of migration and health · 2023Article
- Non-Pathological Psychological Distress among Mainland Chinese in Canada and Its Sociodemographic Risk Factors amidst the Pandemic.Healthcare (Basel, Switzerland) · 2022Article
- Demographic and COVID Experience Predictors of COVID-19 Risk Perception among Chinese Residents in Canada.International journal of environmental research and public health · 2022Article
- A Cross-Sectional Study on the Prevalence of Depressive Symptoms and Its Associated Sociodemographic Factors in Peru during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- COVID-19 Peritraumatic Distress and Loneliness in Chinese Residents in North America: The Role of Contraction Worry.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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
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