Table 2.

Multivariate analysis results of risk factors for long COVID.

N = 127, R² = 0.0546, Model p = 0.0874.

Data were analyzed using multivariate logistic regression analysis. The response variable was the presence or absence of sequelae. The following explanatory variables were entered into the model simultaneously (forced entry): sex, age, severity of COVID-19, and smoking status. Moreover, the stepwise variable selection method was employed to determine appropriate explanatory variables from among the following comorbidities: hypertension, diabetes mellitus, COPD, malignancy, and cerebrovascular disease. Asterisks (*) indicate statistically significant differences.

AOR adjusted odds ratio, CI confidence interval, ref reference, MV mechanical ventilation.