Structural model of premenstrual syndrome based on marital satisfaction and personality traits with the mediating role of early maladaptive schemas

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The aim of this study was to explain the modeling of premenstrual syndrome based on marital satisfaction and personality traits mediated by early maladaptive schemas. The research method is cross-sectional correlation. The statistical population of this study consisted of all married students of Tehran Azad University in 1399-1400, from which 400 people were selected by stepwise cluster sampling. In this study, the tools of premenstrual syndrome (Siah Baz et al., 2011), marital satisfaction (Enrich, 1998), neo-personality traits (Costa and McCray, 1992) and early maladaptive schemas (Young, 1988) were used, all of which had 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. Findings showed that the model has a good fit. The results also showed that marital satisfaction had a significant direct negative effect on premenstrual syndrome. Eagerness for new experiences, agreement and responsibility have had a significant direct negative effect on PMS. Neuroticism also had a significant negative direct effect on premenstrual syndrome. Marital satisfaction has had a direct negative effect on early maladaptive schemas. Eagerness for new experiences, agreement, and responsibility have had a significant direct negative effect on early maladaptive schemas. Neuroticism also had a significant negative direct effect on premenstrual syndrome. Early maladaptive schemas had a direct effect on premenstrual syndrome. This means that 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 therapies will help researchers and therapists

Language:
Persian
Published:
Journal of Research in Behavioural Sciences, Volume:20 Issue: 4, 2023
Pages:
693 to 706
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