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Survey study, 2026

Do childhood adversity and psychological factors predict how severe PMS is?

Yes. Childhood adversity, difficulty expressing emotions, and psychological distress all significantly predict worse PMS.

Early or limited evidence 673 female medical students

What they did

673 female medical students completed questionnaires measuring childhood trauma, PMS symptoms, difficulty expressing emotions, and psychological distress. Researchers analyzed the connections between these factors.

What they found

PMS severity was linked to psychological distress (B=0.64), childhood adversity (B=0.262), and difficulty expressing emotions (B=0.35). A moderate positive correlation existed between difficulty expressing emotions and PMS severity (r=0.409).

What it means for you

Psychological and emotional factors appear to influence PMS severity. This study only included medical students selected by convenience sampling, which may not represent all women, and there was no control group.

673

female medical students

0.64

effect of psychological distress on PMS severity

0.409

correlation between difficulty expressing emotions and PMS severity

About the study

Original title
Relationship between childhood adversity and premenstrual syndrome: mediating role of alexithymia and psychological distress in medical students
Authors
Kahriz MA, Bahri N, Kianimoghadam AS et al.
Journal
BMC women's health
Year
2026
Study design
Survey study
Participants
673
What was tested
Observational study; no intervention tested.
Open access
Yes
Original abstract

Objective: This study was conducted to identify the psychological factors that predict the severity of Premenstrual Syndrome (PMS) among young women in 2025. Methods: In this cross-sectional study, researchers selected 673 female medical students through convenience sampling. They collected data using the Childhood Trauma Questionnaire (CTQ), the Premenstrual Symptoms Screening Tool (PSST), the Toronto Alexithymia Scale (TAS-20), the Kessler Psychological Distress Scale (K10), and a demographic questionnaire. They analyzed the data using Structural Equation Modeling (SEM) in Amos and SPSS (Version 26). Results: The SEM model showed a good fit. PMS severity had significant positive relationships with psychological distress (B = 0.64, p < 0.001), childhood adversity (B = 0.262, p < 0.01), and alexithymia (B = 0.35, p < 0.001). A moderate positive correlation existed between alexithymia and PMS severity (r = 0.409, p = 0.01). Conclusion: Childhood adversity, alexithymia, and psychological distress significantly predict PMS severity. These findings highlight the importance of a biopsychosocial approach. We suggest that doctors, especially gynecologists, should consider these psychological factors when assessing and treating patients with PMS.

Reproduced under CC-BY.

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