Abstract
BACKGROUND: While compliance with preventive measures remains central to limit the spread of COVID-19, these measures critically affected mental health of young adults. We therefore investigated the association between the level of compliance with COVID-19 preventive measures and depressive symptoms among young adults in Canada and France. METHODS: From October to December 2020, we conducted a cross-sectional online survey of young adults ages 18-29 years in Canada (n = 3246) and France (n = 2680) to collect demographic data, experiences with COVID-19 preventive measures, and mental health. Depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Compliance profiles were built using cluster analysis. Weighted multivariable logistic regression was used to estimate associations between compliance level and major depressive symptoms (PHQ-9 score≥15) in each country. RESULTS: One third of respondents reported major depressive symptoms (Canada: 36.4%, France: 23.4%). Four compliance profiles were identified: high (42.5%), medium-high (21.7%), medium-low (18.1%), and low (17.7%), with high levels more frequently observed in Canada compared to France. In both countries, participants in low compliance profile (Canada: Adjusted Odds Ratio (AOR) [95% Confidence Interval] 0.75 [0.58, 0.98], France: AOR 0.60 [0.46, 0.75]), in the medium-low (Canada: AOR 0.58 [0.48, 0.72], France: AOR 0.81 [0.66, 1.01]), and medium-high compliance profiles (Canada: AOR 0.78 [0.65, 0.93], France: AOR 0.77 [0.63, 0.93]) were less likely to report major depressive symptoms compared to the high compliance profile. Ethno-racial minorities, sexual and gender minority, and unemployed young adults had higher odds of reporting such symptoms. CONCLUSIONS: Major depressive symptoms were associated with high compliance with COVID-19 preventive measures among young adults. The implementation of socially-isolating measures should be coupled with mental health interventions to address mental health needs of young adults, with enhanced supports for sub-groups who are structurally disadvantaged (e.g., racialized, unemployed, sexual and gender minority).