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. 2022 Dec 13;14(12):e32473. doi: 10.7759/cureus.32473

Table 3. Factors associated with post-COVID-19 vaccination menstrual changes among the participants.

* P<0.05. P-value was determined by the Chi-square test.

  Post-COVID-19 vaccination menstrual changes p-value*
No n=314 N (%) Yes n=359 N (%)
Age (years)   18-22 (n=224) 78 (34.8) 146 (65.2) <0.001*
23-27 (n=283) 160 (56.5) 123 (43.5)
28-32 (n=80) 44 (55.0) 36 (45.0)
33-37 (n=34) 14 (41.2) 20 (58.8)
38-45 (n=52) 18 (34.6) 34 (65.4)
Marital status   Single (n=505) 240 (47.5) 265 (52.5) 0.660
Married (n=154) 67 (43.5) 87 (56.5)
Divorced/widowed (n=14) 7 (50.0) 7 (50.0)
Residence   Al-Madinah (n=369) 168 (45.5) 201 (54.5) 0.518
Others (n=304) 146 (48.0) 158 (52.0)
Educational level     6 (54.5) 5 (45.5) 0.021*
High school/equivalent (n=168) 62 (36.9) 106 (63.1)
Bachelor's degree (n=456) 224 (49.1) 232 (50.9)
Postgraduate degree (n=38) 22 (57.9) 16 (42.1)
Number of COVID-19 vaccine doses   Two (n=158) 61 (38.6) 97 (61.4) 0.020*  
Three (n=515) 253 (49.1) 262 (50.9)
First vaccine dose   Pfizer-BioNTech (n=510) 225 (44.1) 285 (55.9) 0.063
Oxford-AstraZeneca  (n=155) 85 (54.8) 70 (45.2)
Moderna (n=8) 4 (50.0) 4 (50.0)
Second vaccine dose   Pfizer-BioNTech (n=500) 224 (44.8) 276 (55.2) 0.040*
Oxford-AstraZeneca (n=147) 81 (55.1) 66 (44.9)
Moderna (n=26) 9 (34.6) 17 (65.4)
Duration between the first dose and the booster   Less than one month (n=109) 49 (45.0) 60 (55.0) 0.571
1-2 months (n=158) 69 (43.7) 89 (56.3)
≥3 months (n=406) 196 (48.3) 210 (51.7)