COVID-19 is an acute infectious respiratory disease caused by SARS-CoV-2, a subtype of the coronavirus. In addition to normal levels of biometric measures, a healthy lifestyle has been considered an indispensable element in prim-wing complications of coronavirus infection. Demographic characteristics are also critical in determining risk levels. Aim: Investigate potential significant associations between health behaviors, biometric screenings, demographics, and COVID-19 hospitalization in Loma Linda University Health employees. Methods: Participants are employees covered under the employers-ponsored health plan at Loma Linda University Health, Loma Linda, CA, who tested positive for COVID-19. Logistic regression models were applied to analyze demographics, biometric screenings, and lifestyle factors associated with COVID-19 hospitalization. In our study, 7% of participants required hospitalization. Variables independently associated with COVID-19 hospitalization included higher age (OR = 1.05 [1.01-1.08J, P = .005), non-White race compared to the White race (OR = 3.2 [1.228.38J, P = .018), higher HbAlC levels showing a marginal association (OR = 1.311.99-1.72J, P = .057), and lower vegetable consumption (OR = 4.39 [2.06-9.40], P < .001). Lower protein consumption decreased the Odds of hospitalization (OR = .40 [19-.87], P = .021). Our results suggest that a diet that includes more vegetables and lower protein may confer some protection against COVID-19 hospitalization.