Table 2.
ORs and 95% CIs of change in menstrual cycle characteristics concerning SARS-CoV-2 infection and COVID-19 vaccination status, the Nurses’ Health Study 3 (N=3116)
Change in usual menstrual characteristics | SARS-CoV-2 infectiona n=349 OR (95% CI) |
COVID-19 vaccinationb n=2835 OR (95% CI) |
---|---|---|
Change in cycle length or regularity | ||
Any change (n=2227) | 0.84 (0.66–1.08) | 1.10 (0.84–1.45) |
Change in cycle length | ||
Any change (n=1408) | 0.89 (0.71–1.12) | 1.27 (0.98–1.65) |
Change in cycle lengthc | ||
Shorter (n=858) | 0.89 (0.68–1.16) | 1.17 (0.88–1.57) |
Longer (n=550) | 0.89 (0.64–1.22) | 1.48 (1.00–2.19) |
Change in cycle regularity | ||
Any change (n=1735) | 0.90 (0.72–1.14) | 0.86 (0.67–1.12) |
Change in cycle regularityc | ||
More regular (n=709) | 0.81 (0.60–1.10) | 0.89 (0.65–1.22) |
Less regular (n=1026) | 0.97 (0.74–1.27) | 0.83 (0.61–1.12) |
Change in cycle characteristics was defined by change in 3 categories: cycle regularity ([1] very regular [±3 days], [2] regular [within 5–7 days], or [3] usually irregular or always irregular or no period) and cycle length ([1] <26 days, [2] 26–31 days, or [3] ≥32 days). Models were adjusted for age at baseline, follow-up time, body mass index at end of follow-up, weight change, race and ethnicity, educational attainment, region, and mutually adjusting for SARS-CoV-2 infection and vaccination. Of note, 742 hormonal contraception users at MOD2 were excluded from the analysis.
CI, confidence interval; OR, odds ratio.
Wang. COVID-19 infection and vaccination and menstrual cycle changes. Am J Obstet Gynecol 2022.
Reference: uninfected
Reference: unvaccinated
Multinomial logistic model.