ABSTRACT
Some changes appeared in women's menstrual cycle after receiving the coronavirus disease 2019 (COVID-19) vaccine, but the information about the pattern and characteristics of these symptoms was unclear. This study was conducted to estimate the prevalence of menstruation change and evaluate the association between COVID-19 vaccination and the occurrence of such disturbance. An online web-based survey was conducted during March-April 2022 that targeted 729 COVID-19 vaccinated women aged between 18 and 45 years in the Jazan region of Kingdom of Saudi Arabia. The tool collected demographic information, psychological data, and COVID-19 post-vaccination side effects. The overall prevalence of menstrual change among the women was 60.9% (95% CI 57.3-64.4). 66.3% and 64.1% of women, respectively, in the age group of 25-34 and 35-45 years were more affected. Most of the detected abnormalities were related to delayed menstruation and changes in pain intensity. Menstrual disturbances that occur after immunization are transient and have no long-term implications. Menstrual disorders are prevalent before vaccination, but there is a considerable increase following vaccination. Because there is no apparent cause for these post-vaccine disturbances, and their effects are difficult to anticipate, it is preferable to warn those concerned and encourage them to learn more about the biological changes causing these problems.
ABSTRACT
Purpose: Many types of research have been published on the history of biological warfare, the agents used, and the medical implications. However, no studies measure how people are aware of the magnitude of these health problems and international threats. The present study aimed to produce and make background about biological warfare information for health college students to be used as a basis for future studies or research and prepare the hospitals' bases for similar disasters. Methods: This observational, cross-sectional, descriptive study was conducted among undergraduate students (N = 626) enrolled in health-related colleges at Jazan University, Saudi Arabia. A preliminary survey of 30 participants was then undertaken to improve the questionnaire's understanding and validity. The questionnaire encompassed three primary sections, including (1) sociodemographic characteristics, (2) knowledge, and (3) awareness. Sociodemographic characteristics consisted of age, gender, college type, academic level, and specialty. All data were gathered using an online self-reported questionnaire using Google Forms and participants were recruited using a random sampling strategy. Results: The total participants were 626 students; 514 were females, whereas 112 were males. Knowledge and attitude indices were 3.8650 ± 0.48 and 4.06 ± 0.51 (maximum is 5). The indices showed variable statistical differences among sociodemographic factors. With adjusted and crude odds ratios of 0.53 and 0.54, attitude score is the sole significant (P = 0.05) predictor of knowledge as analyzed using logistic regression. Conclusion: The results of the present study are the first of their kind in the region and can be used to shape public awareness among specialists and decision-makers, especially in light of the recent pandemic.
