Evidence map›Paper›PMID 42189878›Full record

ArticlePLOS global public health2026

Prevalence, severity and correlates of dysmenorrhea among postpartum women in Western Kenya: A cross-sectional study.

Madalitso Khwepeya, Jillian Pintye, Felix Abuna, Amritha Bhat, Daniel A Enquobahrie, Lauren Gomez, Grace John-Stewart, John Kinuthia, Mary Marwa, Nancy Ngumbau and 4 more

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Madalitso KhwepeyaDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0003-4551-338X
Jillian PintyeDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Felix AbunaDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Amritha BhatDepartment of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-9284-0650
Daniel A EnquobahrieDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Lauren GomezDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Grace John-StewartDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
John KinuthiaDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Mary MarwaDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Nancy NgumbauDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0003-4176-5950
Ben OdhiamboDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.
Salphine WatoyiDepartment of Behavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-9085-1663
Joshua SternDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-5424-9421
Anna LarsenDepartment of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysmenorrhea is the most common menstrual disorder globally, contributing the highest disease burden of any gynecological issue in low- and middle-income countries (LMICs). Yet, limited data exist on dysmenorrhea among women in LMICs, particularly in Sub-Saharan Africa, including countries like Kenya. We conducted a cross-sectional analysis using data from the PrIMA-Extension Study, a large prospective cohort study that enrolled women during pregnancy and followed mother-child pairs up to 60 months post-delivery in four clinics in Western Kenya. At 24 months post-delivery, we assessed prevalence, severity, and correlates of dysmenorrhea using the Cox Menstrual Symptom Scale. Moderate-to-severe dysmenorrhea was defined as ≥1 symptom that was moderately to very severely bothersome. Poisson regression models identified correlates of moderate-to-severe dysmenorrhea. Among 277 women (median age: 27 years, IQR: 24-31), 24% (n = 67) had moderate-to-severe dysmenorrhea. Women predominantly reported cramps (46%), abdominal pain (34%), headaches (13%), weakness (8%), and dizziness (8%), lasting 3-7 hours or longer. Severe symptoms of dysmenorrhea most often reported were cramps (17%), abdominal pain (12%), headaches (4%), and weakness (3%). In a multivariate analysis adjusted for age and current breastfeeding status, moderate-to-severe dysmenorrhea was associated with high scores of adverse childhood experiences (ACEs; adjusted PR [aPR]=1.71, 95% CI: 1.04-2.79, p = 0.03), spending time in bed due to menstrual problems (aPR = 3.11, 95% CI: 1.88-5.14, p < 0.001), and taking painkillers (aPR = 4.12, 95% CI: 2.52-6.73, p < 0.001). Adjusting for age, current breastfeeding was associated with a higher frequency of moderate-to-severe dysmenorrhea (aPR = 1.66, 95% CI: 1.02-2.71, p = 0.04). At 2 years postpartum, nearly 1 in 4 women reported moderate-to-severe dysmenorrhea, associated with ACEs and resulting in daily functional interruptions. These findings underscore the need for routine menstrual health assessment during care and integrated approaches addressing pain management and psychosocial support.

Identifiers

PMID42189878
PMCPMC13210376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.