Cargando…
Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study
BACKGROUND: The COVID-19 global pandemic has increased the burden of mental illness on Canadian adults. However, the complex combination of demographic, economic, and lifestyle factors and perceived health risks contributing to patterns of anxiety and depression has not been explored. OBJECTIVE: The...
Autores principales: | Hueniken, Katrina, Somé, Nibene Habib, Abdelhack, Mohamed, Taylor, Graham, Elton Marshall, Tara, Wickens, Christine M, Hamilton, Hayley A, Wells, Samantha, Felsky, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601369/ https://www.ncbi.nlm.nih.gov/pubmed/34705663 http://dx.doi.org/10.2196/32876 |
Ejemplares similares
-
Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis
por: Somé, Nibene Habib, et al.
Publicado: (2022) -
Alcohol and cannabis use during the COVID-19 pandemic among transgender, gender-diverse, and cisgender adults in Canada
por: Somé, Nibene H., et al.
Publicado: (2022) -
Daily cannabis use during the novel coronavirus disease (COVID-19) pandemic in Canada: a repeated cross-sectional study from May 2020 to December 2020
por: Imtiaz, Sameer, et al.
Publicado: (2022) -
Age differences in the association between loneliness and anxiety symptoms during the COVID-19 pandemic
por: McDonald, André J., et al.
Publicado: (2022) -
Household composition and anxiety symptoms during the COVID-19 pandemic: A population-based study
por: McDonald, André J., et al.
Publicado: (2022)