COVID-19 vaccination and menstrual cycle characteristics: A prospective cohort study

被引:11
|
作者
Wesselink, Amelia K. [1 ,5 ]
Lovett, Sharonda M. [1 ]
Weinberg, Janice [2 ]
Geller, Ruth J. [1 ]
Wang, Tanran R. [1 ]
Regan, Annette K. [3 ]
Willis, Mary D. [4 ]
Perkins, Rebecca B. [4 ]
Yland, Jennifer J. [1 ]
Koenig, Martha R. [1 ]
Rothman, Kenneth J. [1 ]
Hatch, Elizabeth E. [1 ]
Wise, Lauren A. [1 ]
机构
[1] Boston Univ, Dept Epidemiol, Sch Publ Hlth, Boston, MA USA
[2] Boston Univ, Dept Biostat, Sch Publ Hlth, Boston, MA USA
[3] Univ San Francisco, San Francisco, CA USA
[4] Boston Univ, Chobanian & Avedesian Sch Med, Dept Obstet & Gynecol, Boston, MA USA
[5] Boston Univ, Sch Publ Hlth, Dept Epidemiol, 715 Albany St,T3E, Boston, MA 02118 USA
关键词
COVID-19; vaccination; Menstrual cycle; Prospective cohort; HEALTH; WOMEN; ASSOCIATION; SYMPTOMS; AXIS;
D O I
10.1016/j.vaccine.2023.06.012
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
We prospectively examined the association between COVID-19 vaccination and menstrual cycle charac-teristics in an internet-based prospective cohort study. We included a sample of 1,137 participants who enrolled in Pregnancy Study Online (PRESTO), a preconception cohort study of couples trying to conceive, during January 2021-August 2022. Eligible participants were aged 21-45 years, United States or Canadian residents, and trying to conceive without fertility treatment. At baseline and every 8 weeks for up to 12 months, participants completed questionnaires on which they provided information on COVID-19 vac-cination and menstrual cycle characteristics, including cycle regularity, cycle length, bleed length, heav-iness of bleed, and menstrual pain. We fit generalized estimating equation (GEE) models with a log link function and Poisson distribution to estimate the adjusted risk ratio (RR) for irregular cycles associated with COVID-19 vaccination. We used linear regression with GEE to estimate adjusted mean differences in menstrual cycle length associated with COVID-19 vaccination. We adjusted for sociodemographic, life-style, medical and reproductive factors. Participants had 1.1 day longer menstrual cycles after receiving the first dose of COVID-19 vaccine (95 % CI: 0.4, 1.9) and 1.3 day longer cycles after receiving the second dose (95 % CI: 0.2, 2.5). Associations were attenuated at the second cycle post-vaccination. We did not observe strong associations between COVID-19 vaccination and cycle regularity, bleed length, heaviness of bleed, or menstrual pain. In conclusion, COVID-19 vaccination was associated with a-1 day temporary increase in menstrual cycle length, but was not appreciably associated with other menstrual cycle characteristics. & COPY; 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4327 / 4334
页数:8
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