| Literature DB >> 35881229 |
Ahmad Ayman Dabbousi1, Jad El Masri2,3, Lemir Majed El Ayoubi4, Omar Ismail4, Bachir Zreika4, Pascale Salameh5,6,7,8.
Abstract
BACKGROUND: In the year 2020, the coronavirus pandemic invaded the world. Since then, specialized companies began to compete, producing many vaccines. Coronavirus vaccines have different adverse events. Menstrual disorders have been noticed as a common complaint post-vaccination. AIM: Our study fills an important gap by evaluating the relationship between coronavirus vaccines and menstrual disorders.Entities:
Keywords: Adverse events; COVID-19; Menstrual irregularities; Vaccination
Year: 2022 PMID: 35881229 PMCID: PMC9315076 DOI: 10.1007/s11845-022-03089-5
Source DB: PubMed Journal: Ir J Med Sci ISSN: 0021-1265 Impact factor: 2.089
Description of the survey respondents for the whole sample
| Factor | Category | % | |
|---|---|---|---|
| Bekka | 25 | 5 | |
| Nord | 202 | 40 | |
| Jabal Lebnen | 128 | 25.3 | |
| Beirut | 49 | 9.7 | |
| Baalbak-Hermel | 12 | 2.4 | |
| Nabatiye | 27 | 5.3 | |
| South | 35 | 6.9 | |
| Akkar | 23 | 4.6 | |
| Jbeil | 4 | 0.8 | |
| Married | 117 | 23.2 | |
| Not married | 347 | 68.7 | |
| Engaged | 31 | 6.1 | |
| Divorced | 8 | 1.6 | |
| Widowed | 2 | 0.4 | |
| AstraZeneca | 60 | 11.9 | |
| Pfizer | 410 | 81.2 | |
| Sputnik | 20 | 4 | |
| Sinopharm | 10 | 2 | |
| Moderna | 1 | 0.2 | |
| Do not know | 4 | 0.8 | |
| Yes | 426 | 84.4 | |
| No | 79 | 15.6 | |
| Yes | 103 | 20.4 | |
| No | 402 | 79.6 | |
| Yes | 5 | 1 | |
| No | 500 | 99 |
Description of the general health of survey respondents for the whole sample
| Factor | Category | % | |
|---|---|---|---|
| Yes | 55 | 10.9 | |
| No | 450 | 89.1 | |
| Yes | 32 | 6.3 | |
| No | 473 | 93.7 | |
| Yes | 138 | 27.3 | |
| No | 367 | 72.7 | |
| Yes | 392 | 77.6 | |
| No | 113 | 22.4 | |
| Yes | 332 | 65.7 | |
| No | 173 | 34.3 | |
| Yes | 215 | 42.6 | |
| No | 290 | 57.4 | |
| Yes | 39 | 7.7 | |
| No | 466 | 92.3 | |
| Yes | 31 | 6.1 | |
| No | 474 | 93.9 | |
| Yes | 48 | 9.5 | |
| No | 457 | 90.5 | |
| Yes | 28 | 5.5 | |
| No | 477 | 94.5 | |
| Yes | 65 | 12.9 | |
| No | 440 | 87.1 | |
| Yes | 2 | 0.4 | |
| No | 503 | 99.6 | |
| Yes | 2 | 0.4 | |
| No | 503 | 99.6 | |
| Yes | 5 | 1 | |
| No | 500 | 99 |
Comparison of participant’s menstrual disorders before and after taking the COVID-19 vaccine
| Factors | Category | Before | After | |
|---|---|---|---|---|
| Yes | 199 (39.4) | 168 (33.3) | 0.003 | |
| No | 306 (60.6) | 377 (66.6) | ||
| Yes | 135 (26.7) | 169 (33.5) | < 0.001 | |
| No | 370 (73.3) | 336 (66.5) | ||
| Yes | 381 (75.4) | 380 (75.2) | 1 | |
| No | 124 (24.6) | 125 (24.8) | ||
| No | 317 (62.8) | 345 (68.3) | < 0.001 | |
| 1–4 months | 130 (25.7) | 83 (16.4) | ||
| > 4 months | 58 (11.5) | 77 (15.2) | ||
| 1–3 days | 40 (7.9) | 50 (9.9) | 0.001 | |
| 3–5 days | 148 (29.3) | 163 (32.3) | ||
| 5–7 days | 288 (57) | 248 (49.1) | ||
| > 7 days | 29 (5.7) | 44 (8.7) | ||
| Regular | 442 (87.5) | 402 (79.6) | < 0.001 | |
| Irregular | 63 (12.5) | 103 (20.4) |
Effect of cycle regularity post-vaccination on PMS symptoms
| Same | 337 | 75 | 0.036 | |
| Worse | 50 | 22 | ||
| Better | 15 | 6 | ||
| 0.036 | ||||
Association between cycle regularity and PMS symptoms with sociodemographics, general gynecological health, vaccination details, and post-vaccine adverse events
| Factor | Regularity | PMS | ||||||
|---|---|---|---|---|---|---|---|---|
| Bekka | 21 (84) | 4 (16) | 0.866 | 22 (88) | 2 (8) | 1 (4) | 0.014 | |
| Nord | 160 (79.2) | 42 (20.79) | 168 (83.16) | 27 (13.36) | 7 (3.46) | |||
| Jabal Lebnen | 102 (79.68) | 26 (20.31) | 104 (81.25) | 18 (14.06) | 6 (4.68) | |||
| Beirut | 37 (75.51) | 12 (24.48) | 36 (73.46) | 13 (26.53) | 0 (0) | |||
| Baalbak-Hermel | 9 (75) | 3 (25) | 10 (83.33) | 0 (0) | 2 (16.66) | |||
| Nabatiye | 23 (85.18) | 4 (14.81) | 23 (85.18) | 3 (11.11) | 1 (3.7) | |||
| South | 26 (74.28) | 9 (25.71) | 27 (77.14) | 8 (22.85) | 0 (0) | |||
| Akkar | 20 (86.95) | 3 (13.04) | 18 (78.26) | 1 (4.34) | 4 (17.39) | |||
| Jbeil | 4 (100) | 0 (0) | 4 (100) | 0 (0) | 0 (0) | |||
| Astrazeneca | 49 (81.66) | 11 (18.33) | 0.174 | 48 (80) | 10 (16.66) | 2 (3.33) | 0.963 | |
| Pfizer | 324 (79.02) | 86 (20.97) | 337 (82.19) | 56 (13.65) | 17 (4.14) | |||
| Sputnik | 19 (95) | 1 (5) | 15 (75) | 3 (15) | 2 (10) | |||
| Sinopharm | 7 (70) | 3 (30) | 8 (80) | 2 (20) | 0 (0) | |||
| Moderna | 0 (0) | 1 (100) | 1 (100) | 0 (0) | 0 (0) | |||
| Do not know | 3 (75) | 1 (25) | 3 (75) | 1 (25) | 0 (0) | |||
| Yes | 336 (78.87) | 90 (21.12) | 0.344 | 341 (80.04) | 66 (15.49) | 19 (4.46) | 0.116 | |
| No | 66 (83.54) | 13 (16.45) | 71 (89.87) | 6 (7.59) | 2 (2.53) | |||
| Yes | 83 (80.58) | 20 (19.41) | 0.782 | 90 (87.37) | 10 (9.7) | 3 (2.91) | 0.235 | |
| No | 319 (79.35) | 83 (20.64) | 322 (80.09) | 62 (15.42) | 18 (4.47) | |||
| Yes | 35 (63.63) | 20 (36.36) | 0.002 | 40 (72.72) | 11 (20) | 4 (7.27) | 0.177 | |
| No | 367 (81.55) | 83 (18.44) | 372 (82.66) | 61 (13.55) | 17 (3.77) | |||
| Yes | 21 (65.62) | 11 (34.37) | 0.043 | 24 (75) | 7 (21.87) | 1 (3.12) | 0.436 | |
| No | 381 (80.54) | 92 (19.45) | 388 (82.02) | 65 (13.74) | 20 (4.22) | |||
| Yes | 85 (61.59) | 53 (38.4) | < 0.001 | 76 (55.07) | 56 (40.57) | 6 (4.34) | < 0.001 | |
| No | 317 (86.37) | 50 (13.62) | 336 (91.55) | 16 (4.35) | 15 (4.08) | |||
| Yes | 310 (79.08) | 82 (20.91) | 0.587 | 318 (81.12) | 58 (14.79) | 16 (4.08) | 0.808 | |
| No | 92 (81.41) | 21 (18.58) | 94 (83.18) | 14 (12.38) | 5 (4.42) | |||
| Yes | 259 (78.01) | 73 (21.98) | 0.219 | 259 (78.01) | 61 (18.37) | 12 (3.61) | 0.001 | |
| No | 143 (82.65) | 30 (17.34) | 153 (88.43) | 11 (6.35) | 9 (5.2) | |||
| Yes | 162 (75.34) | 53 (24.65) | 0.041 | 170 (79.06) | 38 (17.67) | 7 (3.25) | 0.129 | |
| No | 240 (82.75) | 50 (17.24) | 242 (83.44) | 34 (11.72) | 14 (4.82) | |||
| Yes | 27 (69.23) | 12 (30.76) | 0.094 | 24 (61.53) | 11 (28.2) | 4 (10.25) | 0.003 | |
| No | 375 (80.47) | 91 (19.52) | 388 (83.26) | 61 (13.09) | 17 (3.64) | |||
| Yes | 21 (67.74) | 10 (32.25) | 0.091 | 19 (61.29) | 9 (29.03) | 3 (9.67) | 0.01 | |
| No | 381 (80.37) | 93 (19.62) | 393 (82.91) | 63 (13.29) | 18 (3.79) | |||
| Yes | 39 (81.25) | 9 (18.75) | 0.079 | 40 (83.33) | 5 (10.41) | 3 (6.25) | 0.016 | |
| No | 363 (79.43) | 94 (20.56) | 372 (81.4) | 67 (14.66) | 18 (3.93) | |||
| Yes | 2 (50) | 2 (50) | 0.269 | 17 (60.71) | 6 (21.42) | 5 (17.85) | < 0.001 | |
| No | 400 (79.84) | 101 (20.15) | 395 (82.8) | 66 (13.83) | 16 (3.35) | |||
| Yes | 41 (63.07) | 24 (36.92) | < 0.001 | 52 (80) | 11 (16.92) | 2 (3.07) | 0.739 | |
| No | 361 (82.04) | 79 (17.95) | 360 (81.81) | 61 (13.86) | 19 (4.31) | |||
| Yes | 0 (0) | 2 (100) | 0.005 | 0 (0) | 2 (100) | 0 (0) | 0.002 | |
| No | 402 (79.92) | 101 (20.07) | 412 (81.9) | 70 (13.91) | 21 (4.17) | |||
| Yes | 0 (0) | 2 (100) | 0.005 | 1 (50) | 1 (50) | 0 (0) | 0.345 | |
| No | 402 (79.92) | 101 (20.07) | 411 (81.7) | 71 (14.11) | 21 (4.17) | |||
| Yes | 3 (60) | 2 (40) | 0.274 | 3 (60) | 0 (0) | 2 (40) | < 0.001 | |
| No | 399 (79.8) | 101 (20.2) | 409 (81.8) | 72 (14.4) | 19 (3.8) | |||