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Psychosocial predictors of COVID-19 infection in UK biobank (N = 104 201).
- Source :
- Journal of Public Health; Sep2023, Vol. 45 Issue 3, p560-568, 9p
- Publication Year :
- 2023
-
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 lower odds. Among males, absence of college/university degree (OR 1.56, 95% CI 1.45–1.68) and socioeconomic deprivation (OR 1.12, 95% CI 1.07–1.16) were associated with higher odds, while loneliness (OR 0.87, 95% CI 0.78–0.97), irritability (OR 0.91, 95% CI 0.83–0.99) and history of psychiatric consultation (OR 0.85, 95% CI 0.75–0.97) were associated with lower odds. Conclusion Sociodemographic factors predicted the odds of COVID-19 infection equally among male and female participants, while psychological factors had differential impacts. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17413842
- Volume :
- 45
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 171352046
- Full Text :
- https://doi.org/10.1093/pubmed/fdad009