Prediction premenstrual syndrome (PMS) with anxiety, and depression in female students

Results advocate integrating mental health screening into PMS management protocols, particularly using tools like the DASS-42-5. OLR regression emerged as a statistically robust method for modeling ordinal PMS outcomes, offering clinical and research relevance for targeted interventions in reproductive-aged populations.

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Institutions

Publication Details

Journal
BMC Psychiatry
Published
2025-08-18
DOI
https://doi.org/10.1186/s12888-025-07250-z
Citations
2
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
3.76
Controls
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article

Prediction premenstrual syndrome (PMS) with anxiety, and depression in female students

Huansheng Li, Kourosh Sayehmiri, Reza Valizade, Mandana Sarokhani et al.
2 citations
BMC Psychiatry
Menstrual Health and Disorders
3.76
article

Prediction premenstrual syndrome (PMS) with anxiety, and depression in female students

Huansheng Li, Kourosh Sayehmiri, Reza Valizade, Mandana Sarokhani, Mohammad Hossein Sahami Gilan
article en
2 citations

Abstract

Results advocate integrating mental health screening into PMS management protocols, particularly using tools like the DASS-42-5. OLR regression emerged as a statistically robust method for modeling ordinal PMS outcomes, offering clinical and research relevance for targeted interventions in reproductive-aged populations.

BMC PsychiatryVol. 25(1)
Medical University of Ilam (IR), Ilam University (IR), ZheJiang Economic and Trade Polytechnic (CN), Islamic Azad University Ilam Branch (IR)
Gender equality
Openalex Percentile: Top 7%
Menstrual Health and Disorders
3.76
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Prediction premenstrual syndrome (PMS) with anxiety, and depression in female students — Huansheng Li, Kourosh Sayehmiri, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS