Abstract

Considering the importance of long COVID-19 (LC), this study aimed to investigate the relationship between clinical/sociodemographic factors and LC symptoms (LCS). This online cross-sectional study was conducted on 308 people infected with COVID-19 in Alborz, Iran, from April 1 to June 1, 2022. Multivariable logistic regression models were applied to measure the association between the LCS with other variables. Overall, 76.6 of participants had at least one LCS. Results from the multivariate logistic regression analysis showed that females (crude odds ratio OR 95% confidence interval (CI): 2.725 1.42, 5.22), educated persons (3.747 1.58, 8.84), people with a higher number of COVID-19 reinfection (2.280 1.30, 3.97), having an underlying disease (1.996 1.01, 3.93), and COVID-19 severity (3.321 1.037, 10.635) had higher odds of LC than others (all p <.05). Study findings provide additional clinical/sociodemographic data on risk for LC. These data may inform future research and clinical practice for potential risk identification and early intervention. © The Author(s) 2023.