Menstrual Abnormalities Strongly Associated with Proximity to COVID-19 Vaccinated Individuals

In Spring 2021, MyCycleStorySM launched a secure online survey to which 92.3% of 6049 respondents self-reported menstrual irregularities occurring after the rollout of the COVID-19 injectables. Each respondent served as her own control because prior to the rollout of COVID-19 vaccination, the vast majority had regular menstrual cycles. A subgroup of 3390 respondents were only indirectly exposed to COVID-19 vaccines or the SARS-CoV-2 virus. This subgroup reported 1) being unvaccinated for COVID-19; 2) having had no COVID-19 symptoms; and 3) no positive test for COVID-19, yet a substantial majority of these women, who were only indirectly exposed to COVID-19 injectables or COVID-19 infections still had many of the same menstrual abnormalities as the 2659 women who were directly exposed to a COVID-19 injection (798), or had COVID-19 symptoms (1347), or tested positive for COVID-19 (514). Generalized linear mixed modeling was used to examine the association (not assuming causation) between abnormal menses experienced after the COVID-19 vaccine rollout by respondents who were only indirectly exposed by some degree of proximity to persons. Chi-Square, Student’s t, Kruskal-Wallis or ANOVA tests were used to assess the statistical significance of the similarities of menstrual irregularities reported by the directly exposed and indirectly exposed groups. The mean age of the entire cohort was 37.8 ± 0.1 years. The percentage of the indirectly exposed participants who reported being within 6 feet of a COVID-19 vaccinated person was 85.5%. Of these, 71.7% had irregular menstrual symptoms within one week and 50.1% had irregular menstrual symptoms within ≤3 days after exposure. When comparing daily proximity to a vaccinated person, the categories of “daily within 6 feet outside the household” versus “seldom/sometimes/daily outside 6 feet” had the highest relative risk at 1.34 (p<0.01) for heavier menstrual bleeding, early menses at more than 7 days early with a relative risk at 1.28 (p=0.03), and extended bleeding for more than 7 days with relative risk at 1.26 (p=0.04). Indirect exposure to COVID-19 vaccinated persons was significantly associated with the likelihood of the onset of menstrual irregularities. This study provides additional data to complement a growing body of evidence raising concerns regarding the safety of mRNA vaccines.

Authors

Institutions

Publication Details

Journal
International Journal of Vaccine Theory Practice and Research
Published
2024-12-07
DOI
https://doi.org/10.56098/tp99wn15
Citations
1
Primary Topic
COVID-19 Impact on Reproduction
Type
article
Field-Weighted Citation Impact
0.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Menstrual Abnormalities Strongly Associated with Proximity to COVID-19 Vaccinated Individuals

Paul J. Mills, Jill C. Newman, H. Ray, Tiffany Parotto et al.
1 citations
International Journal of Vaccine Theory Practice and Research
COVID-19 Impact on Reproduction
0.58
article

Menstrual Abnormalities Strongly Associated with Proximity to COVID-19 Vaccinated Individuals

Paul J. Mills, Jill C. Newman, H. Ray, Tiffany Parotto, L. M. Murphy, Brian S. Hooker, Christiane Northrup, Maureen McDonnell, Dan McDyer, James A. Thorp, Raphael B. Stricker, Sue Peters, Warren Gieck, †The two lead authors contributed equally.
article en
1 citations

Abstract

In Spring 2021, MyCycleStorySM launched a secure online survey to which 92.3% of 6049 respondents self-reported menstrual irregularities occurring after the rollout of the COVID-19 injectables. Each respondent served as her own control because prior to the rollout of COVID-19 vaccination, the vast majority had regular menstrual cycles. A subgroup of 3390 respondents were only indirectly exposed to COVID-19 vaccines or the SARS-CoV-2 virus. This subgroup reported 1) being unvaccinated for COVID-19; 2) having had no COVID-19 symptoms; and 3) no positive test for COVID-19, yet a substantial majority of these women, who were only indirectly exposed to COVID-19 injectables or COVID-19 infections still had many of the same menstrual abnormalities as the 2659 women who were directly exposed to a COVID-19 injection (798), or had COVID-19 symptoms (1347), or tested positive for COVID-19 (514). Generalized linear mixed modeling was used to examine the association (not assuming causation) between abnormal menses experienced after the COVID-19 vaccine rollout by respondents who were only indirectly exposed by some degree of proximity to persons. Chi-Square, Student’s t, Kruskal-Wallis or ANOVA tests were used to assess the statistical significance of the similarities of menstrual irregularities reported by the directly exposed and indirectly exposed groups. The mean age of the entire cohort was 37.8 ± 0.1 years. The percentage of the indirectly exposed participants who reported being within 6 feet of a COVID-19 vaccinated person was 85.5%. Of these, 71.7% had irregular menstrual symptoms within one week and 50.1% had irregular menstrual symptoms within ≤3 days after exposure. When comparing daily proximity to a vaccinated person, the categories of “daily within 6 feet outside the household” versus “seldom/sometimes/daily outside 6 feet” had the highest relative risk at 1.34 (p<0.01) for heavier menstrual bleeding, early menses at more than 7 days early with a relative risk at 1.28 (p=0.03), and extended bleeding for more than 7 days with relative risk at 1.26 (p=0.04). Indirect exposure to COVID-19 vaccinated persons was significantly associated with the likelihood of the onset of menstrual irregularities. This study provides additional data to complement a growing body of evidence raising concerns regarding the safety of mRNA vaccines.

International Journal of Vaccine Theory Practice and ResearchVol. 3(2)
Anatolia College (GR), Children's Defense Fund (US), University of California San Diego (US), Gulf Marine Institute of Technology (US), Medical Research Associates (US), American College (CY)
Good health and well-being
Openalex Percentile: Top 25%
COVID-19 Impact on Reproduction
0.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.