Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis.

ABSTRACT:

Background

Mental health problems and substance use co-morbidities during and after the COVID-19 pandemic are a public health priority. Identifying individuals at high-risk of developing mental health problems and potential sequela can inform mitigating strategies. We aimed to identify distinct groups of individuals (i.e., latent classes) based on patterns of self-reported mental health symptoms and investigate their associations with alcohol and cannabis use.

Methods

We used data from six successive waves of a web-based cross-sectional survey of adults aged 18 years and older living in Canada (6,021 participants). We applied latent class analysis to three domains of self-reported mental health most likely linked to effects of the pandemic: anxiety, depression, and lonelines

SUBMITTER: Some NH 

PROVIDER: S-EPMC9055215 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature