Menstrual Cycle Disturbances after COVID-19 Vaccination: A Cross-Sectional Study

被引:0
作者
Mansour, Farima Rahimi [1 ,2 ]
Keyvanfar, Amirreza [3 ]
Najafiarab, Hanieh [1 ]
Chayijan, Shaghayegh Hooshmand [1 ,4 ]
Farzaneh, Farah [1 ]
Mortezaei, Golnoush [1 ]
机构
[1] Shahid Beheshti Univ Med Sci, Preventat Gynecol Res Ctr, POB 1617763141, Tehran, Iran
[2] Kharazmi Univ, Fac Biol Sci, Dept Cell & Mol Biol, Tehran, Iran
[3] Shahid Beheshti Univ Med Sci, Infect Dis & Trop Med Res Ctr, Tehran, Iran
[4] Universal Sci Educ & Res Network USERN, Tehran, Iran
关键词
COVID-19; Vaccines; Fertility; Menstrual Disturbances; Menstruation;
D O I
暂无
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Background: Following COVID-19 vaccination, some women suffered from menstrual cycle disturbances. This study aimed to investigate menstrual cycle disturbances after COVID-19 vaccination in women of reproductive age. Materials and Methods: This cross-sectional study was performed on 407 vaccinated women in the vaccination center of Imam Hossein Hospital (Tehran, Iran) between October 2021 and October 2022. They were interviewed based on a research-made checklist which consisted of two areas of questions about the baseline characteristics of participants and menstrual cycle characteristics to explore menstrual characteristics following COVID-19 vaccination. Results: The prevalence of menstrual disturbances was higher after the third dose (38.3%) compared with the second (27.9%) and first (17.7%) doses (P<0.001). After the first dose, a history of polycystic ovarian syndrome [PCOS, odds ratio (OR)=7.35, 95% confidential interval (CI)= (3.64-14.82), P<0.001] and menstrual disturbances with unknown etiology [OR=15.23, 95% CI=(6.30-36.80), P<0.001] could predict menstrual disturbances. After the second dose, a history of menstrual disturbances with unknown etiology [OR=3.83, 95% CI=(1.47-9.94), P=0.006] and menstrual disturbances after the first dose [OR=201.96, 95% CI= (40.99-994.90), P<0.001] were predictors of menstrual disturbances. After the third dose, a history of menstrual disturbances with unknown etiology [OR=3.09, 95% CI= (1.00-9.52), P=0.048], menstrual disturbances after the first [OR=9.82, 95% CI=(1.38-69.69), P=0.022] and second [OR=7.83, 95% CI=(1.46-41.92), P=0.016] doses could predict menstrual disturbances. Conclusion: We detected that many women experienced various menstrual disturbances after vaccination against SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). Furthermore, a history of menstrual abnormalities (before COVID-19 vaccination and following the previous doses of these vaccines) was associated with developing menstrual disturbances.
引用
收藏
页码:201 / 206
页数:117
相关论文
共 50 条
  • [31] Acceptance of COVID-19 Vaccination in the Elderly: A Cross-Sectional Study in Southern Italy
    Galle, Francesca
    Sabella, Elita Anna
    Roma, Paolo
    Da Molin, Giovanna
    Diella, Giusy
    Montagna, Maria Teresa
    Ferracuti, Stefano
    Liguori, Giorgio
    Orsi, Giovanni Battista
    Napoli, Christian
    VACCINES, 2021, 9 (11)
  • [32] Diplopia, COVID-19 and Vaccination: Results from a Cross-Sectional Study in Croatia
    Herman, Jelena Skunca
    Maric, Goran
    Ravlic, Maja Malenica
    Knezevic, Lana
    Jerkovic, Ivan
    Susic, Ena
    Maric, Vedrana
    Vickovic, Ivanka Petric
    Vatavuk, Zoran
    Polasek, Ozren
    VACCINES, 2022, 10 (09)
  • [33] Association Between COVID-19 Vaccination and Abortion: A Cross-Sectional Study in Jeddah
    Alsaleh, Rehab A.
    Sultan, Intessar
    Alasfour, Jenan A.
    Alaali, Tarteel M.
    Alghamdi, Amani S.
    Mohammed, A.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (01)
  • [34] COVID-19 Vaccination Among Lactating Women: A Comparative Cross-Sectional Study
    Jamshidimanesh, Mansoureh
    Pouriyamehr, Mariyam
    ARCHIVES OF CLINICAL INFECTIOUS DISEASES, 2023, 18 (06):
  • [35] COVID-19 pandemic impact on seasonal flu vaccination: A cross-sectional study
    Kopsidas, Ioannis
    Chorianopoulou, Evangelia
    Kourkouni, Eleni
    Triantafyllou, Christos
    Molocha, Nafsika-Maria
    Koniordou, Markela
    Maistreli, Stefania
    Christina-Grammatiki, Tsopela
    Maroudi-Manta, Stefania
    Filippou, Dimitrios
    Zaoutis, Theoklis E.
    Kourlaba, Georgia
    PNEUMON, 2021, 34 (02)
  • [36] Public Attitudes Towards COVID-19 Vaccination: A Cross-Sectional Study in Iran
    Darrudi, Alireza
    Sari, Ali Akbari
    Yunesian, Masud
    Daroudi, Rajabali
    HEALTH SCOPE, 2023, 12 (03):
  • [37] COVID-19 Vaccination Acceptability: A Cross-Sectional Study Among Lebanese Residents
    Domiati, Souraya
    Hodeib, Fadi
    El Majzoub, Rania
    Sacre, Hala
    DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2023, 17
  • [38] COVID-19 Vaccination Intent and Willingness to Pay in Bangladesh: A Cross-Sectional Study
    Kabir, Russell
    Mahmud, Ilias
    Chowdhury, Mohammad Tawfique Hossain
    Vinnakota, Divya
    Jahan, Shah Saif
    Siddika, Nazeeba
    Isha, Samia Naz
    Nath, Sujan Kanti
    Hoque Apu, Ehsanul
    VACCINES, 2021, 9 (05)
  • [39] The COVID-19 vaccination experience in Bangladesh: Findings from a cross-sectional study
    Islam, Md. Rabiul
    Hasan, Moynul
    Nasreen, Waheeda
    Tushar, Md. Ismail
    Bhuiyan, Mohiuddin Ahmed
    INTERNATIONAL JOURNAL OF IMMUNOPATHOLOGY AND PHARMACOLOGY, 2021, 35
  • [40] Is there a COVID-19 vaccination effect? A three-wave cross-sectional study
    Ram, Yael
    Collins-Kreiner, Noga
    Gozansky, Einav
    Moscona, Gal
    Okon-Singer, Hadas
    CURRENT ISSUES IN TOURISM, 2022, 25 (03) : 379 - 386