The prevalence of depression among paramedical students and workers with highlights from the COVID-19 pandemic: A meta-analysis of prevalence

Abstract

Objective: To estimate the prevalence and risk factors of depression among paramedical workers/students.

Method: 6205 paramedics (reported in 25 cross-sectional studies) were meta-analyzed after searching seven electronic databases. The main outcome was the prevalence of depression. Subgroup analyses were conducted based on year and country of investigation, pandemic status and wave, population type, and disease severity. Several risk factors were also examined (gender, marital status, and population type).

Results: 34% [95%CI: 26-43%] of paramedics have depression, mostly of the mild form [19%, 95%CI: 13-27%]. Depression was highest in India and Australia. Students [45%, 95%CI: 30-62%] were more vulnerable to depression than workers [29%, 95%CI: 18-40%]. No linear trend was observed for depression over the years. Depression was lower during the pandemic compared to the pre-pandemic period [25% vs. 39%] with similar rates across all pandemic waves. Male [MD = 1.40; 95%CI: 0.57: 2.23] and married paramedics [MD = -1.33, 95%CI: -2.04: -0.62] were significant predictors of depression; however, no significant difference in depression was noted between paramedics and non-paramedics [logOR = 0.08; 95%CI: -0.10: 0.25].

Conclusions: One in every three paramedics have depression, with higher rates among students and before the COVID-19 pandemic. Gender and marital status are risk factors of depression.

Keywords: COVID-19; Depression; Paramedics; Prevalence; Students.