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Dataset Information

Latent class analysis of the Epidemic-Pandemic Impacts Inventory on mental health outcomes in Siyan Clinical patients.


ABSTRACT:

Background and aims

The COVID-19 pandemic has made an outsized negative impact on mental health worldwide. However, research indicates that this impact was not uniform. This study aimed to determine how mental health patients experienced the COVID-19 pandemic to characterize mental health disparities and identify underlying factors.

Methods

We used the Epidemic-Pandemic Impacts Inventory (EPII) and latent class analysis to determine the impacts of epidemics and pandemics across several life domains in 245 survey respondents, all of whom were mental health patients at Siyan Clinical. Respondents were predominately White (84.5%) and female (76.3%), with the majority being diagnosed with anxiety or mood disorders (76.3%).

Results

In the work life domain, respondents in t

SUBMITTER: Shah A 

PROVIDER: S-EPMC10119487 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature