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A prospective study of the association between SARS-CoV-2 infection and COVID-19 vaccination with changes in usual menstrual cycle characteristics.
Wang, Siwen; Mortazavi, Jasmine; Hart, Jaime E; Hankins, Jennifer A; Katuska, Laura M; Farland, Leslie V; Gaskins, Audrey J; Wang, Yi-Xin; Tamimi, Rulla M; Terry, Kathryn L; Rich-Edwards, Janet W; Missmer, Stacey A; Chavarro, Jorge E.
  • Wang S; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Mortazavi J; Department of Obstetrics, Gynecology, and Reproductive Biologym, Michigan State University College of Human Medicine, Grand Rapids, MI.
  • Hart JE; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Hankins JA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
  • Katuska LM; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Farland LV; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ.
  • Gaskins AJ; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
  • Wang YX; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Tamimi RM; Population Health Sciences, Weill Cornell Medicine, New York, NY.
  • Terry KL; Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Rich-Edwards JW; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
  • Missmer SA; Department of Obstetrics, Gynecology, and Reproductive Biologym, Michigan State University College of Human Medicine, Grand Rapids, MI; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. Electronic address: missmers@msu.edu.
  • Chavarro JE; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Am J Obstet Gynecol ; 2022 Jul 13.
Article in English | MEDLINE | ID: covidwho-1926160
ABSTRACT

BACKGROUND:

Despite anecdotal reports, the impacts of SARS-CoV-2 infection or COVID-19 vaccination on menstrual health have not been systemically investigated.

OBJECTIVE:

This study aimed to examine the associations of SARS-CoV-2 infection and COVID-19 vaccination with menstrual cycle characteristics. STUDY

DESIGN:

This study prospectively observed 3858 premenopausal women in the Nurses' Health Study 3 living in the United States or Canada who received biannual follow-up questionnaires between January 2011 and December 2021 and completed additional monthly and quarterly surveys related to the COVID-19 pandemic between April 2020 and November 2021. History of positive SARS-CoV-2 test, COVID-19 vaccination status, and vaccine type were self-reported in surveys conducted in 2020 and 2021. Current menstrual cycle length and regularity "before COVID-19" were reported at baseline between 2011 and 2016, and current menstrual cycle length and regularity "after COVID-19" were reported in late 2021. Pre- to post-COVID change in menstrual cycle length and regularity was calculated between reports. Logistic or multinomial logistic regression models were used to assess the associations between SARS-CoV-2 infection and COVID-19 vaccination and change in menstrual cycle characteristics.

RESULTS:

The median age at baseline and the median age at end of follow-up were 33 years (range, 21-51) and 42 years (range, 27-56), respectively, with a median follow-up time of 9.2 years. This study documented 421 SARS-CoV-2 infections (10.9%) and 3527 vaccinations (91.4%) during follow-up. Vaccinated women had a higher risk of increased cycle length than unvaccinated women (odds ratio, 1.48; 95% confidence interval, 1.00-2.19), after adjusting for sociodemographic and behavioral factors. These associations were similar after in addition accounting for pandemic-related stress. COVID-19 vaccination was only associated with change to longer cycles in the first 6 months after vaccination (0-6 months odds ratio, 1.67 [95% confidence interval, 1.05-2.64]; 7-9 months odds ratio, 1.43 [95% confidence interval, 0.96-2.14]; >9 months odds ratio, 1.41 [95% confidence interval, 0.91-2.18]) and among women whose cycles were short, long, or irregular before vaccination (odds ratio, 2.82 [95% confidence interval, 1.51-5.27]; odds ratio, 1.10 [95% confidence interval, 0.68-1.77] for women with normal length, regular cycles before vaccination). Messenger RNA and adenovirus-vectored vaccines were both associated with this change. SARS-CoV-2 infection was not associated with changes in usual menstrual cycle characteristics.

CONCLUSION:

COVID-19 vaccination may be associated with short-term changes in usual menstrual cycle length, particularly among women whose cycles were short, long, or irregular before vaccination. The results underscored the importance of monitoring menstrual health in vaccine clinical trials. Future work should examine the potential biological mechanisms.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid / Vaccines Language: English Year: 2022 Document Type: Article Affiliation country: J.ajog.2022.07.003

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid / Vaccines Language: English Year: 2022 Document Type: Article Affiliation country: J.ajog.2022.07.003