Evidence map›Paper›PMID 35860226›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Covid-19 vaccination and menstrual cycle length in the Apple Women's Health Study.

Elizabeth A Gibson, Huichu Li, Victoria Fruh, Malaika Gabra, Gowtham Asokan, Anne Marie Z Jukic, Donna D Baird, Christine L Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Elizabeth A GibsonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Huichu LiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Victoria FruhDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Malaika GabraDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Gowtham AsokanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Anne Marie Z JukicEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Donna D BairdEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Christine L CurryHealth, Apple Inc., Cupertino, CA.
Tyler Fischer-ColbrieHealth, Apple Inc., Cupertino, CA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Michelle A WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Brent A CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Shruthi MahalingaiahDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Harvard University · USApple (United States) · USTriangle · US

Funding

Environmental influences on fertility and reproductive healthZIAES103333 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JUKIC, ANNE MARIE · 2019 to 2025
$7.3M
Environmental Effects On FertilityZIAES049003 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BAIRD, DONNA D. · 2009 to 2023
$3.3M
6 · The paper itself

Abstract

Background: COVID-19 vaccination may be associated with change in menstrual cycle length following vaccination. Methods: We conducted a longitudinal analysis within a subgroup of 14,915 participants in the Apple Women's Health Study (AWHS) who enrolled between November 2019 and December 2021 and met the following eligibility criteria: were living in the U.S., met minimum age requirements for consent, were English speaking, actively tracked their menstrual cycles, and responded to the COVID-19 Vaccine Update survey. In the main analysis, we included tracked cycles recorded when premenopausal participants were not pregnant, lactating, or using hormonal contraceptives. We used conditional linear regression and multivariable linear mixed-effects models with random intercepts to estimate the covariate-adjusted difference in mean cycle length, measured in days, between pre-vaccination cycles, cycles in which a vaccine was administered, and post-vaccination cycles within vaccinated participants, and between vaccinated and unvaccinated participants. We further compared associations between vaccination and menstrual cycle length by the timing of vaccine dose within a menstrual cycle (i.e., in follicular or luteal phase). We present Bonferroni-adjusted 95% confidence intervals to account for multiple comparisons. Results: A total of 128,094 cycles (median = 10 cycles per participant; interquartile range: 4-22) from 9,652 participants (8,486 vaccinated; 1,166 unvaccinated) were included. The average within-individual standard deviation in cycle length was 4.2 days. Fifty-five percent of vaccinated participants received Pfizer-BioNTech's mRNA vaccine, 37% received Moderna's mRNA vaccine, and 7% received the Johnson & Johnson/Janssen vaccine (J&J). We found no evidence of a difference between mean menstrual cycle length in the unvaccinated and vaccinated participants prior to vaccination (0.24 days, 95% CI: -0.34, 0.82).Among vaccinated participants, COVID-19 vaccination was associated with a small increase in mean cycle length (MCL) for cycles in which participants received the first dose (0.50 days, 95% CI: 0.22, 0.78) and cycles in which participants received the second dose (0.39 days, 95% CI: 0.11, 0.67) of mRNA vaccines compared with pre-vaccination cycles. Cycles in which the single dose of J&J was administered were, on average, 1.26 days longer (95% CI: 0.45, 2.07) than pre-vaccination cycles. Post-vaccination cycles returned to average pre-vaccination length. Estimates for pre vs post cycle lengths were 0.14 days (95% CI: -0.13, 0.40) in the first cycle following vaccination, 0.13 days (95% CI: -0.14, 0.40) in the second, -0.17 days (95% CI: -0.43, 0.10) in the third, and -0.25 days (95% CI: -0.52, 0.01) in the fourth cycle post-vaccination. Follicular phase vaccination was associated with an increase in MCL in cycles in which participants received the first dose (0.97 days, 95% CI: 0.53, 1.42) or the second dose (1.43 days, 95% CI: 1.06, 1.80) of mRNA vaccines or the J&J dose (2.27 days, 95% CI: 1.04, 3.50), compared with pre-vaccination cycles. Conclusions: COVID-19 vaccination was associated with an immediate short-term increase in menstrual cycle length overall, which appeared to be driven by doses received in the follicular phase. However, the magnitude of this increase was small and diminished in each cycle following vaccination. No association with cycle length persisted over time. The magnitude of change associated with vaccination was well within the natural variability in the study population. Menstrual cycle change following COVID-19 vaccination appears small and temporary and should not discourage individuals from becoming vaccinated.

Identifiers

PMID35860226
PMCPMC9298140
OpenAlexW4284989294

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.