Exploration of Factors Influencing Premenstrual Syndrome and Coping Styles: A Mixed Methods Approach

A large percentage of college-aged girls suffer from premenstrual syndrome (PMS). This mixed-methods approach aimed to adopt a statistical exploration of the factors influencing PMS. The premenstrual coping measure (PCM) and an introductory Information Form were used to collect quantitative data for the study, while a semi-structured form was used for collecting qualitative data through individual interviews. Prospective symptom screening using the 15-item Calendar of Premenstrual Experience (COPE) was used to assess PMS symptoms. Strategies for managing premenstrual syndrome symptoms during their periods were evaluated through the use of a 15-item self-report questionnaire. Logistic regression and multivariate were used to identify the relationship between PMS symptoms and the associated factors. The results depicted the significant correlation of PMS symptoms with demographic characters. PMS symptoms are also well correlated with high levels of stress and physical activity at p level <0.05. In addition, predictive modeling explored the association of poor sleep with stress and activity. The findings of the research highlight the significant importance of early detection of the prevalent groups by adopting the relevant statistical tools and providing the possible opportunity to target the intervention study. Participants reported symptoms and methods of managing premenstrual syndrome were detailed in this research. Healthcare providers should be cognizant of the challenges faced by students and offer extensive health services to assist them in managing premenstrual syndrome.