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Dataset Information

Psychosocial predictors of COVID-19 infection in UK biobank (N = 104 201).


ABSTRACT:

Background

Since the outbreak of COVID-19, data on its psychosocial predictors are limited. We therefore aimed to explore psychosocial predictors of COVID-19 infection at the UK Biobank (UKB).

Methods

This was a prospective cohort study conducted among UKB participants.

Results

The sample size was N = 104 201, out of which 14 852 (14.3%) had a positive COVID-19 test. The whole sample analysis showed significant interactions between sex and several predictor variables. Among females, absence of college/university degree [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.45-1.66] and socioeconomic deprivation (OR 1.16 95% CI 1.11-1.21) were associated with higher odds of COVID-19 infection, while history of psychiatric consultation (OR 0.85 95% CI 0.77-0.94) with low

SUBMITTER: Wauye VM 

PROVIDER: S-EPMC10470346 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature