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The effect of adherence to high-quality dietary pattern on COVID-19 outcomes: A systematic review and meta-analysis

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JOURNAL OF MEDICAL VIROLOGY
卷 95, 期 1, 页码 -

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WILEY
DOI: 10.1002/jmv.28298

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COVID-19; diet quality; Mediterranean diet; meta-analysis; plant-based diet

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Adherence to a high-quality dietary pattern is associated with a lower risk of COVID-19 infection and hospitalization, with plant-based diet showing the best efficacy in reducing infection risk.
Dietary quality and patterns may influence SARS-CoV-2 infection and outcomes, but scientific data and evidence to support such a role are lacking. Therefore, this meta-analysis aims to elucidate the effect of prepandemic diet quality on the risk of COVID-19 infection and hospitalization. PubMed/MEDLINE, CENTRAL, Scopus, and EMBASE were systematically searched for articles published up to September 1, 2022. A systematic review and meta-analysis were performed to calculate each outcome's risk ratio (RR) and 95% confidence interval (CI). Five studies including 4 023 663 individuals (3 149 784 high-quality diet individuals and 873 881 controls) were included in the present meta-analysis. The effectiveness of high-quality dietary pattern against SARS-CoV-2 infection and hospitalization was 28% (95% CI 19%-36%) and 62% (95% CI 25%-80%); respectively. Subgroup analysis based on different levels of diet quality showed no difference between middle and high levels of diet quality in reducing the risk of COVID-19 infection. Interestingly, subgroup analysis based on the different types of high-quality diets and the risk of COVID-19 infection revealed that the effectiveness of plant-based diet against SARS-CoV-2 infection was 50% (95% CI 30%-65%); while the effectiveness of Mediterranean diet against SARS-CoV-2 infection was 22% (95% CI 12%-31%). Adherence to a high-quality dietary pattern is associated with a lower risk of COVID-19 infection and hospitalization. More studies are required to confirm these findings, and future studies should determine the biological mechanisms underlying the association between diet quality and risk of COVID-19 infection.

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