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. 2023 Aug 18;15(8):1764. doi: 10.3390/v15081764

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Associations between symptom prevalence and patient characteristics including sex (male (reference) vs. female), age, BMI, ethnicity (White/European (reference) vs. Non-White/European), viral variant (wild-type (reference) vs. viral variant), vaccination status (unvaccinated (reference) vs. vaccinated), and underlying medical conditions (none (reference) vs. any). Adjusted odds ratios and 95% confidence intervals for each covariate were calculated using a multiple logistic regression model. Adjusted odds ratios correspond to the odds of experiencing a given symptom in the comparator group relative to the reference group (for categorical variables), or for a one-year increase in age or one-unit increase in BMI. Statistically significant associations are indicated by asterisks (*).

Associations between symptom prevalence and patient characteristics including sex (male (reference) vs. female), age, BMI, ethnicity (White/European (reference) vs. Non-White/European), viral variant (wild-type (reference) vs. viral variant), vaccination status (unvaccinated (reference) vs. vaccinated), and underlying medical conditions (none (reference) vs. any). Adjusted odds ratios and 95% confidence intervals for each covariate were calculated using a multiple logistic regression model. Adjusted odds ratios correspond to the odds of experiencing a given symptom in the comparator group relative to the reference group (for categorical variables), or for a one-year increase in age or one-unit increase in BMI. Statistically significant associations are indicated by asterisks (*).