Evaluation of menstrual irregularities following COVID-19 infection or vaccination: The impact of COVID anxiety and associated risk factors

Abstract

There has been significant interest in the changes in menstrual cycles following coronavirus disease 2019 (COVID-19) infection or vaccination. This study aimed to investigate the evidence for such changes and their potential risk factors. We used a descriptive study design and gathered data by sharing an online survey questionnaire on social media platforms. The questionnaire included questions regarding sociodemographic factors, menstrual cycle changes, and COVID-19 anxiety. The study population comprised women aged 18 to 49 years from Izmir. All data analyses were performed using Statistical Package for the Social Sciences 21.0. The risk factors influencing menstrual irregularities were determined after the COVID binary logistic regression analysis, including univariate and multivariate models. Among the 465 participants, those with an associate's degree had a significantly higher risk of menstrual irregularities than those with a high school diploma (P = .012). Anxiety scores emerged as a significant risk factor for menstrual cycle irregularities (P = .026). However, neither COVID-19 infection nor vaccination resulted in significant changes in the menstrual cycle characteristics (P > .05). Other sociodemographic variables, such as age, body mass index, and smoking, were not significantly associated with menstrual cycle changes(P > .05). The study findings suggest that educational level and anxiety may play a role in menstrual irregularities, whereas COVID-19 infection or vaccination itself may not directly affect menstrual cycle.