Cross-sectional analysis estimates mental health symptoms in Canadian youth, indicating significant correlations with sociodemographic factors.
BackgroundRecent data highlight problematic rates of mental health symptoms (MHS) among adolescents and young adults following the COVID-19 pandemic, with implications for early identification and clinical service provision. This study estimated the prevalence of MHS and its sociodemographic correlates among Canadian youths.MethodsWe conducted a cross-sectional analysis of 896 iundividuals aged 18-24 years using data from Statistics Canada's Survey on COVID-19 and Mental Health. Symptoms of anxiety, psychological distress, depression, and post-traumatic stress disorder (PTSD) were assessed using validated self-report instruments. Analyses included descriptive statistics, Pearson's chi-square tests, two-way analysis of covariance (ANCOVA), and multivariate linear regression.ResultsParticipants' mean (SD) age was 21.2 (2.0) years; 53% identified as women, and 81% lived in urban areas. Prevalence was highest for psychological distress (57.0%), followed by depression (31.6%), anxiety (23.7%), and PTSD symptoms (12.6%). Women reported higher anxiety and distress than men (p < 0.05). In multivariable analyses, female gender, non-essential worker status, poorer self-rated mental health, weaker community belonging, lower household income, lower life satisfaction, and pre-existing mental health disorder were associated with greater symptom severity (p < 0.05).ConclusionThe rising prevalence of mental health symptoms reflects gendered, socioeconomic, and psychosocial vulnerabilities, requiring trauma-informed clinical screening and equity-focused public health interventions for Canadian youth.
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Onyeso et al. (2026) studied this question.
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