The severity of premenstrual syndrome: developing a descriptive model based on personality traits and self-regulatory skills

Abazari, Nader; Heydarinasab, Leila; Yaghubi, Hamid; Farahani, Hojjatollah

doi:10.22054/jcps.2023.71765.2874

Document Type : Research Paper

Authors

¹ Shahed university

² Department of clinical Psychology, Shahed University

³ Assistant professor, Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.

https://doi.org/10.22054/jcps.2023.71765.2874

Abstract

Purpose Premenstrual syndrome (PMS) is usually observed among women of reproductive age, so, it may be worsened by emotional and somatic symptoms. The main aim of this investigation was to assess the predictability of pain intensity and psychological distress by personality traits and self-regulation skills among the Iranian female population.
Methods The data were collected via numeric pain assessment, DASS-42, NEO, SRQ, and demographic questionnaire. The significant level was set at 0.05. In this study, we used the method of variance-based structural equations by PLS software.
Results Pearson correlation between total score of self-regulation skills and subscales of DASS-42 stress, anxiety, and depression were respectively (0.78), (0.71), and (0.73). Thenceforward, the correlation between pain intensity and total score of self-regulation skills was (0.72). Moreover, results showed that the correlation between personality traits scores with subscales of DASS-42 stress, anxiety, and depression were respectively (0.71), (0.73), and (0.87). Finally, data analysis demonstrated a correlation between self-regulation skills and pain intensity (0.70). (P= 0.05)
Conclusions This article shows that personality traits and self-regulation skills can significantly predict the degree of pain intensity and psychological distress among females before and during menstruation concerning mediating role of suggestibility and attitudes toward menstruation.

Keywords

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Clinical Psychology Studies

The severity of premenstrual syndrome: developing a descriptive model based on personality traits and self-regulatory skills

References

References

Volume 13, Issue 49 - Serial Number 49
September 2022
Pages 17-36

The severity of premenstrual syndrome: developing a descriptive model based on personality traits and self-regulatory skills

References

References

Volume 13, Issue 49 - Serial Number 49September 2022Pages 17-36

Volume 13, Issue 49 - Serial Number 49
September 2022
Pages 17-36