Evidence map›Paper›PMID 41292580›Full record

ArticleHealth science reports2025

Premenstrual Disorders, Their Severity Patterns, and Predictors Among Female University Students in Western Uganda: A Cross-Sectional Study.

Marc Nzambimana, Emmanuel Okurut, Marie Pascaline Sabine Ishimwe, Carlos Batista Cedeno, Raissa Marie Ingrid Niyubahwe, Albert Odongo, Suleiman Ali Sleyoum, Christopher Kato, Ahmed Kiswezi Kazigo, Josiah J Mkojera and 1 more

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Marc NzambimanaDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Emmanuel OkurutDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Marie Pascaline Sabine IshimweDepartment of Pediatrics and Child Health Kampala International University Ishaka Uganda.
Carlos Batista CedenoDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Raissa Marie Ingrid NiyubahweDepartment of Psychiatry Kampala International University Ishaka Uganda.
Albert OdongoDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Suleiman Ali SleyoumDepartment of Pediatrics and Child Health Kampala International University Ishaka Uganda.
Christopher KatoDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Ahmed Kiswezi KazigoDepartment of Surgery Kampala International University Ishaka Uganda.
Josiah J MkojeraDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.
Theoneste HakizimanaDepartment of Obstetrics and Gynecology Kampala International University Ishaka Uganda.ORCID https://orcid.org/0000-0002-1294-2981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Premenstrual disorders (PMDs), including premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), are common menstrual-related conditions that significantly impact the quality of life and academic performance of young women. This study aimed to determine their burden and predictors among female university students in Western Uganda. Methodology: We conducted a cross-sectional study (December 2024-March 2025) at Kampala International University, Western Campus using the Premenstrual Symptoms Screening Tool (PSST). The PSST comprises symptom items and functional-impairment items with validated diagnostic cut-offs for PMDD and for moderate-to-severe PMS. We performed bivariate and multivariable logistic regression to identify predictors of PMDs, reporting adjusted odds ratios (aORs) and 95% confidence intervals (CIs). Results: A total of 453 participants were enrolled. Overall, 75.9% met PSST diagnostic criteria for a PMD. PMS accounted for 46.3% and PMDD for 29.6% of the sample. Among PMS cases, moderate severity predominated (52.8%), followed by mild (36.2%) and severe (11.0%) categories. Independent predictors of PMDs included enrollment in the School of Allied Health Sciences (aOR = 4.25, 95% CI 1.00-18.03, Conclusions: This study demonstrates a substantial burden of PMDs among female university students, with a predominance of moderate symptom severity. These findings support the need for screening and intervention programs within university settings. Targeted psychosocial support, stress-management strategies, and menstrual health services may mitigate the academic and emotional consequences of PMDs.

Indexed as

predictorspremenstrual dysphoric disorderpremenstrual syndromePSSTUgandauniversity students

Identifiers

PMID41292580
PMCPMC12641103

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