Modeling Premenstrual Syndrome based on Quality of Life with the Mediating Role of Early Maladaptive Schemas

Aim: The aim of the present study was to model premenstrual syndrome based on quality of life with the mediating role of early maladaptive schemas. Methods: The research method is cross-sectional correlation. The statistical population of this research was made up of all married students of Azad University of Tehran in the fall and winter of 2020-2021, from among them, 400 people were selected by staged cluster sampling method. In this study, the tools of premenstrual syndrome (Siah Baz et al., 2011), health-related quality of life (Walker et al., 1987) and early maladaptive schemas (Young, 1988) were used, all of which have acceptable validity and reliability. SPSS-V23 and Amos-V8.8 software were used to analyze the data. Structural equation modeling was also used to answer the research hypotheses. Results: Findings showed that the model has a good fit. The results also showed that health-related quality of life had a significant direct negative effect on premenstrual syndrome. Health-related quality of life has had a direct negative effect on early maladaptive schemas. Early maladaptive schemas had a direct effect on premenstrual syndrome. Conclusion: The level of premenstrual syndrome increases with the increase of early maladaptive schemas. Therefore, paying attention to the mentioned variables in prevention and designing more appropriate treatments helps researchers and therapists.