Unknown

Dataset Information

Diet quality and risk and severity of COVID-19: a prospective cohort study.


ABSTRACT:

Objective

Poor metabolic health and unhealthy lifestyle factors have been associated with risk and severity of COVID-19, but data for diet are lacking. We aimed to investigate the association of diet quality with risk and severity of COVID-19 and its interaction with socioeconomic deprivation.

Design

We used data from 592 571 participants of the smartphone-based COVID-19 Symptom Study. Diet information was collected for the prepandemic period using a short food frequency questionnaire, and diet quality was assessed using a healthful Plant-Based Diet Score, which emphasises healthy plant foods such as fruits or vegetables. Multivariable Cox models were fitted to calculate HRs and 95% CIs for COVID-19 risk and severity defined using a validated symptom-based algorithm or hospi

SUBMITTER: Merino J 

PROVIDER: S-EPMC8500931 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature