| Literature DB >> 34488713 |
Chen Li1, Jianmin Gao1,2, Jinlin Liu3.
Abstract
BACKGROUND: Repeat abortion is a significant public health problem in China. International knowledge about repeat abortion and its associated factors in Chinese women is scarce. This study aimed to analyze the prevalence of repeat abortion among women seeking abortion services with unintended pregnancies in northwestern China and to identify factors associated with the repeat abortion from both two perspectives of abortion seekers themselves and their sexual partners.Entities:
Keywords: China; Repeat abortion; Sexual partner; Unintended pregnancy; Women
Mesh:
Year: 2021 PMID: 34488713 PMCID: PMC8422724 DOI: 10.1186/s12889-021-11653-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Study profile
Sociodemographic characteristics of participants
| Characteristics | ||||
|---|---|---|---|---|
| Total | First abortion | Repeat abortion | ||
| 30 (26–34) | 28 (24–32) | 31 (28–35) | < 0.001† | |
| ≤ 30 years | 1802 (53.2) | 976 (66.3) | 826 (43.0) | < 0.001‡ |
| 31–35 years | 974 (28.7) | 347 (23.6) | 627 (32.7) | |
| ≥ 36 years | 614 (18.1) | 148 (10.1) | 466 (24.3) | |
| < 0.001‡ | ||||
| ≤ Senior high school | 1513 (44.5) | 544 (36.9) | 969 (50.4) | |
| Junior college | 1070 (31.5) | 483 (32.8) | 587 (30.5) | |
| ≥ Bachelor’s degree | 814 (24.0) | 446 (30.3) | 368 (19.1) | |
| 0.014‡ | ||||
| Rural | 2252 (66.3) | 1007 (68.4) | 1245 (64.7) | |
| Urban | 1145 (33.7) | 466 (31.6) | 679 (35.3) | |
| 0.002‡ | ||||
| Migrant | 1183 (34.8) | 553 (37.5) | 630 (32.7) | |
| Nonmigrant | 2214 (65.2) | 920 (62.5) | 1294 (67.3) | |
| < 0.001‡ | ||||
| Student | 88 (2.6) | 70 (4.8) | 18 (0.9) | |
| Housework | 611 (18.0) | 238 (16.2) | 373 (19.4) | |
| Farmer | 213 (6.3) | 88 (6.0) | 125 (6.5) | |
| Self-employed | 633 (18.6) | 225 (15.3) | 408 (21.2) | |
| Enterprise employee | 1300 (38.3) | 601 (40.8) | 699 (36.3) | |
| Civil servant etc. | 394 (11.6) | 192 (13.0) | 202 (10.5) | |
| Jobless | 158 (4.7) | 59 (4.0) | 99 (5.1) | |
| 3500 (2385–5000) | 3600 (2500–5000) | 3500 (2000–5000) | 0.120† | |
| ≤ 2500 Yuan | 892 (26.4) | 382 (26.0) | 510 (26.6) | 0.103‡ |
| 2501–4000 Yuan | 1250 (36.9) | 570 (38.9) | 680 (35.5) | |
| ≥ 4001 Yuan | 1243 (36.7) | 515 (35.1) | 728 (38.0) | |
| < 0.001‡ | ||||
| Unmarried | 841 (24.8) | 515 (35.0) | 326 (16.9) | |
| Married | 2556 (75.2) | 958 (65.0) | 1598 (83.1) | |
| < 0.001‡ | ||||
| No children | 924 (27.2) | 574 (39.0) | 350 (18.2) | |
| 1 child | 1460 (43.0) | 553 (37.5) | 907 (47.1) | |
| ≥ 2 children | 1013 (29.8) | 346 (23.5) | 667 (34.7) | |
† Two-sample K-S test. ‡ Pearson’s chi-squared test
Contraceptive use, cognition of possible adverse health effects of having an abortion, and sexual partners’ willingness to use contraception
| Characteristics | ||||
|---|---|---|---|---|
| Total | First abortion | Repeat abortion | ||
| 0.005† | ||||
| Nonuse of contraception | 1418 (41.7) | 672 (45.6) | 746 (38.8) | |
| Condom | 854 (25.1) | 348 (23.6) | 506 (26.3) | |
| Rhythm | 400 (11.8) | 166 (11.3) | 234 (12.2) | |
| Withdrawal | 398 (11.7) | 157 (10.7) | 241 (12.5) | |
| Emergency | 254 (7.5) | 100 (6.8) | 154 (8.0) | |
| Other | 73 (2.1) | 30 (2.0) | 43 (2.2) | |
| 0.646† | ||||
| Nonuse | 216 (6.4) | 100 (6.8) | 116 (6.0) | |
| One type | 2174 (64.0) | 935 (63.5) | 1239 (64.4) | |
| Two types or more | 1007 (29.6) | 438 (29.7) | 569 (29.6) | |
| < 0.001† | ||||
| Know well | 577 (17.0) | 325 (22.1) | 252 (13.1) | |
| General | 1250 (36.8) | 591 (40.1) | 659 (34.3) | |
| Don’t know | 1570 (46.2) | 557 (37.8) | 1013 (52.7) | |
| 0.018† | ||||
| Very strong | 842 (24.8) | 364 (24.7) | 478 (24.8) | |
| Strong | 1845 (54.3) | 791 (53.7) | 1054 (54.8) | |
| General | 678 (20.0) | 312 (21.2) | 366 (19.0) | |
| Weak or very weak | 32 (0.9) | 6 (0.4) | 26 (1.4) | |
† Pearson’s chi-squared test
Factors associated with repeat abortion of participants
| Variablesa | Repeat abortion (0 = no, 1 = yes) | |||
|---|---|---|---|---|
| β | S.E. | OR (95% CI) | ||
| 31–35 years | 0.31 | 0.12 | 1.37 (1.08–1.73) | 0.009 |
| ≥ 36 years | 0.60 | 0.18 | 1.82 (1.29–2.57) | 0.001 |
| ≤ Senior high school | 0.62 | 0.14 | 1.86 (1.42–2.43) | < 0.001 |
| Junior college | 0.38 | 0.12 | 1.46 (1.17–1.83) | 0.001 |
| Jobless | 0.90 | 0.38 | 2.46 (1.18–5.13) | 0.017 |
| One child | 0.43 | 0.17 | 1.54 (1.10–2.17) | 0.013 |
| ≥ Two children | 0.34 | 0.19 | 1.40 (0.96–2.03) | 0.077 |
| General | 0.47 | 0.11 | 1.60 (1.28–1.98) | < 0.001 |
| Don’t know | 0.92 | 0.11 | 2.51 (2.02–3.11) | < 0.001 |
| 31–35 years | 0.29 | 0.12 | 1.33 (1.06–1.68) | 0.015 |
| ≥ 36 years | 0.76 | 0.16 | 2.13 (1.56–2.91) | < 0.001 |
| ≤ Senior high school | 0.50 | 0.13 | 1.66 (1.28–2.15) | < 0.001 |
| Junior college | 0.32 | 0.12 | 1.38 (1.10–1.74) | 0.004 |
| 4501–6000 Yuan | 0.08 | 0.10 | 1.08 (0.89–1.31) | 0.450 |
| ≥ 6001 Yuan | 0.29 | 0.11 | 1.34 (1.08–1.65) | 0.007 |
| Strong | 0.14 | 0.09 | 1.14 (0.95–1.37) | 0.148 |
| General | 0.17 | 0.12 | 1.19 (0.94–1.50) | 0.145 |
| Weak or very weak | 1.92 | 0.53 | 6.84 (2.42–19.33) | < 0.001 |
| Condom | 0.28 | 0.10 | 1.33 (1.09–1.61) | 0.004 |
| Rhythm | 0.12 | 0.13 | 1.12 (0.88–1.44) | 0.360 |
| Withdrawal | 0.36 | 0.13 | 1.43 (1.12–1.84) | 0.005 |
| Emergency | 0.39 | 0.15 | 1.48 (1.09–1.99) | 0.011 |
| Other | 0.13 | 0.26 | 1.14 (0.68–1.91) | 0.615 |
aIndependent variables in the logistic regression model included participants’ age, education, residence status, migrant status, occupation, marital status, parity, and cognition of possible adverse health effects of having an abortion, participants’ sexual partners’ age, education, occupation, income per month, and willingness to use contraception, and contraceptive use at the time of conception. However, considering the table size, here we just reported the results for these significant variables
b Model fit information: p-value of omnibus tests of model coefficients < 0.001, −2LL = 4048.481, Cox & Snell R2 = 0.147, Nagelkerke R2 = 0.197, p-value of Hosmer-Lemeshow goodness-of-fit test = 0.152