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February 2, 2026Health Care For Women International

Prevalence and pattern of abnormal menstruation after COVID-19 infection

Siriwan Tangjitgamol Rapeephan R. Maude Natapon Ativanichayapong Rebecca Walsh Ellen Beer Kamonwan Kaprakhon Chayanan Chaowanklang

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Key Points

The research aims to assess the prevalence and characteristics of abnormal menstruation following COVID-19 infection.
Analyzed menstrual patterns post-COVID infection
Assessed pre-infection menstrual health as a risk factor
23% reported abnormal menstruation after COVID-19
Pre-infection abnormal menstruation was identified as an independent risk factor.

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Implication

Study reports abnormal menstruation prevalence in individuals post-COVID infection, indicating significant health impacts.

Abstract

The prevalence of abnormal menstruation post-COVID infection was 23%. Abnormal menstruation pre-infection was an independent risk factor.

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Cite This Study

Tangjitgamol et al. (2026) studied this question.

synapsesocial.com/papers/698433e9f1d9ada3c1fb16b3 https://doi.org/10.1080/07399332.2026.2617332

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Study of 500 Cases to Know the Association of Menstrual Disorders with Post-COVID-19 Infections in a Tertiary Hospital2025
2Menstrual vulnerability to acute systemic stress: evidence from 884 women after COVID-19 infectionCross-Sectional Study · 2026
3COVID-19 and menstrual-related disturbances: a Spanish retrospective observational study in formerly menstruating women2024 · 5 citations
4Impact of COVID-19 on Menstrual Cycle Pattern2025
5The association of the severity of Omicron with menstrual and premenstrual syndrome among reproductive age women in China: a cross-sectional study.2024 · 2 citations

(829) Cross-Sectional Descriptive Study to Assess Changes in Sexual Desire and Menstrual Status Due to COVID-192026
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