| Unique ID | iCARE-VGB-0075 |
| Prefix / Honorific (optional) (Prefix) | Prof. |
| First or given name (First name) | Vincent |
| Last or family name (Last name) | Gosselin Boucher |
| Email (Enter your email) | gosselin_boucher.vincent@uqam.ca |
| Other investigators or team members (optional) | Grace Meadows, University of British Columbia |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Experiencing Long COVID and Changes in COVID-19-Related Attitudes and Beliefs: Evidence from the Canadian Longitudinal iCARE Survey |
| Analysis Plan Description | The proposed research will examine the effect of diagnosis of Long COVID from a health care practitioner and attitudes and beliefs about COVID-19. Additional factors that will be analyzed are the length of Long COVID, the experience of Long Covid, and the severity of Long COVID symptoms. This analysis will look at attitudes and beliefs about COVID-19 at two time periods; before diagnosis of Long COVID and after diagnosis of Long Covid. The independent variable examined will be Long COVID diagnosis and the dependent variables will be attitudes and beliefs about COVID-19. The sociodemographic factors examined in relation to this topic will be age, sex, education, household income, parental status, and health condition. The aim of this study is to compare attitudes and beliefs about COVID-19 before and after a diagnosis of Long COVID. This analysis will focus on data from the Canadian longitudinal sample, and use the 2024-2025 waves from the polling firm Léger that include questions regarding Long COVID. A series of logistic mixed-effects models, using the R package lme4, will be used to estimate the probability of an event occurring while accounting for the effects of multiple predictors variables (i.e., age, sex, education level, household income, being a parent, and health condition) and the repeated-measures structure of the data. Growth mixture models (GMM) will be used to identify latent profiles of individuals following distinct trajectories over time. |
| Keyword 1 | Long COVID |
| Keyword 2 | Attitudes |
| Keyword 3 (optional) | Beliefs |
| Keyword 4 (optional) | Longitudinal |
| Longitudinal data (only available for Canada) | Longitudinal data (only available for Canada) |
| Data Time Frame – Specific Survey (Longitudinal) | Survey 22 – September 27 to January 10, 2023, Survey 23 – January 10 to April 19, 2023, Survey 24 – April 18, 2023 to July 21, 2023, Survey 25 – July 21, 2023 to January 30, 2024, Survey 26 – January 30, 2024 to January 2025 (available soon) |
| Entry Date | 11-03-2026 15:55 |
