| Literature DB >> 26076710 |
Jiazhi Zeng1,2, Guanyang Zou3,4, Xiaoqin Song5, Li Ling6,7.
Abstract
BACKGROUND: China is facing the unprecedented challenges of internal migration. Migrants tend to have poorer utilization of health and family planning services as compared to the local residents. Migrant women are at greater risk of induced abortions due to their poor contraceptive knowledge and attitude. This study aims to understand the contraceptive practices and history of induced abortions, explore the potential factors influencing induced abortions, and evaluate the utilization of family planning services among migrant women in Guangzhou, China.Entities:
Mesh:
Year: 2015 PMID: 26076710 PMCID: PMC4469005 DOI: 10.1186/s12889-015-1903-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic and migrant characteristics among migrant women
| Characteristics | Total 1003 (100.0) | Marital status |
|
| |
|---|---|---|---|---|---|
| Married 803 (80.1) | Unmarried 200 (19.9) | ||||
| Age (years) | 218.354 | <0.001 | |||
| 18~ | 461 (46.0) | 276 (34.4) | 185 (92.5) | ||
| 30~ | 452 (45.0) | 437 (54.4) | 15 (7.5) | ||
| 40 ~ 49 | 90 (9.0) | 90 (11.2) | 0 (0.0) | ||
| Level of education | 44.272 | <0.001 | |||
| Junior high school or less | 440 (43.9) | 394 (49.0) | 46 (23.1) | ||
| Senior high school | 356 (35.5) | 260 (32.5) | 96 (47.7) | ||
| College or more | 207 (20.6) | 149 (18.5) | 58 (29.2) | ||
| Employment status | 51.272 | <0.001 | |||
| Employed | 816 (81.4) | 618 (77.0) | 198 (99.0) | ||
| Unemployed | 187 (18.6) | 185 (23.0) | 2 (1.0) | ||
| Household registration place | 1.173 | 0.279 | |||
| Guangdong province | 373 (37.2) | 292 (36.4) | 81 (40.5) | ||
| Outside Guangdong province | 630 (62.8) | 511 (63.6) | 119 (59.5) | ||
| Household registration type | 0.899 | 0.343 | |||
| Urban | 288 (28.7) | 236 (29.4) | 52 (26.1) | ||
| Rural | 715 (71.3) | 567 (70.6) | 148 (73.9) | ||
| Years of residence in Guangzhou | 122.190 | <0.001 | |||
| ≤5 | 408 (40.7) | 259 (32.3) | 149 (74.4) | ||
| ≤10 | 298 (29.7) | 263 (32.7) | 35 (17.6) | ||
| >10 | 297 (29.6) | 281 (35.0) | 16 (8.0) | ||
Note: Married included married, separated and widowed. The number of separated and widowed was 11
Contraceptive practices among migrant women who had sex in the past 6 months
| Contraceptive practices | Total810 (100.0) | Marital status |
|
| |
|---|---|---|---|---|---|
| Married715 (88.3) | Unmarried95 (11.7) | ||||
| Acquired contraceptive knowledge from family planning workers ( | 14.960 | <0.001 | |||
| Yes | 318 (39.3) | 298 (41.7) | 20 (21.1) | ||
| No | 492 (60.7) | 417 (58.3) | 75 (78.9) | ||
| Contraceptive methods (multiple responses allowed) ( | |||||
| Intrauterine device (IUD) | 250 (30.9) | 242 (33.8) | 8 (8.4) | 25.405 | <0.001 |
| Rhythm method/Withdrawal | 84 (10.4) | 74 (10.3) | 10 (10.5) | 0.003 | 1.000 |
| Sterilization | 57 (7.0) | 49 (6.9) | 8 (8.4) | 0.315 | 0.575 |
| Oral contraceptive | 26 (3.2) | 16 (2.2) | 10 (10.5) | 18.543 | <0.001 |
| Others | 8 (1.0) | 6 (0.8) | 2 (2.1) | 1.375 | 0.241 |
| None | 66 (8.1) | 58 (8.1) | 8 (8.4) | 0.011 | 0.918 |
| Male condom | 364 (44.9) | 299 (41.8) | 65 (68.4) | 23.985 | <0.001 |
| Frequency of condom use ( | 1.425 | 0.700 | |||
| Every time | 190 (52.2) | 153 (51.2) | 37 (56.9) | ||
| Most of the time | 108 (29.7) | 90 (30.1) | 18 (27.7) | ||
| Half the time | 28 (7.7) | 25 (8.4) | 3 (4.6) | ||
| Less than half the time | 38 (10.4) | 31 (10.4) | 7 (10.8) | ||
| How to get condom ( | 1.540 | 0.461 | |||
| From family planning service station | 38 (10.4) | 34 (11.4) | 4 (6.2) | ||
| Bought by self | 311 (85.5) | 253 (84.6) | 58 (89.2) | ||
| Others | 15 (4.1) | 12 (4.0) | 3 (4.6) | ||
Factors influencing frequency of condom use among migrant women who used male condom
| Characteristics | Total364 (100.0) | Frequency of condom use |
|
| |
|---|---|---|---|---|---|
| More than half the time298 (81.9) | Half or less than half the time66 (18.1) | ||||
| Level of education | 7.107 | 0.029 | |||
| Junior high school or less | 127 (34.9) | 97 (76.4) | 30 (23.6) | ||
| Senior high school | 137 (37.6) | 111 (81.0) | 26 (19.0) | ||
| College or more | 100 (27.5) | 90 (90.0) | 10 (10.0) | ||
| How to get condom | 10.478 | 0.005 | |||
| From family planning service station | 38 (10.4) | 25 (65.8) | 13 (34.2) | ||
| Bought by self | 311 (85.5) | 263 (84.6) | 48 (15.4) | ||
| Others | 15 (4.1) | 10 (66.7) | 5 (33.3) | ||
| Age (years) | 2.085 | 0.337 | |||
| 18~ | 189 (51.9) | 158 (83.6) | 31 (16.4) | ||
| 30~ | 158 (43.4) | 128 (81.0) | 30 (19.0) | ||
| 40 ~ 49 | 17 (4.7) | 12 (70.6) | 5 (29.4) | ||
| Marital status | <0.001 | 0.982 | |||
| Married | 303 (83.2) | 248 (81.8) | 55 (18.2) | ||
| Unmarried | 61 (16.8) | 50 (82.0) | 11 (18.0) | ||
| Employment status | 1.472 | 0.225 | |||
| Employed | 285 (78.3) | 237 (83.2) | 48 (16.8) | ||
| Unemployed | 79 (21.7) | 61 (77.2) | 18 (22.8) | ||
| Household registration place | 0.218 | 0.640 | |||
| Guangdong province | 136 (37.4) | 113 (83.1) | 23 (16.9) | ||
| Outside Guangdong province | 228 (62.6) | 185 (81.1) | 43 (18.9) | ||
| Household registration type | 2.350 | 0.125 | |||
| Urban | 129 (35.4) | 111 (86.0) | 18 (14.0) | ||
| Rural | 235 (64.6) | 187 (79.6) | 48 (20.4) | ||
| Years of residence in Guangzhou | 0.061 | 0.970 | |||
| ≤5 | 137 (37.6) | 113 (82.5) | 24 (17.5) | ||
| ≤10 | 120 (33.0) | 98 (81.7) | 22 (18.3) | ||
| >10 | 107 (29.4) | 87 (81.3) | 20 (18.7) | ||
| Number of children | 3.043 | 0.218 | |||
| 0 | 90 (24.7) | 74 (82.2) | 16 (17.8) | ||
| 1 | 207 (56.9) | 174 (84.1) | 33 (15.9) | ||
| ≥2 | 67 (18.4) | 50 (74.6) | 17 (25.4) | ||
| Acquired contraceptive knowledge from family planning workers | 0.809 | 0.368 | |||
| Yes | 122 (33.5) | 103 (84.4) | 19 (15.6) | ||
| No | 242 (66.5) | 195 (80.6) | 47 (19.4) | ||
Induced abortions status among migrant women
| Induced abortions status | Total417 (100.0) | Marital status |
|
| |
|---|---|---|---|---|---|
| Married389 (93.3) | Unmarried28 (6.7) | ||||
| Induced abortion times | 2.775 | 0.250 | |||
| 1 | 265 (63.5) | 251 (64.6) | 14 (50.0) | ||
| 2 | 110 (26.4) | 99 (25.4) | 11 (39.3) | ||
| ≥3 | 42 (10.1) | 39 (10.0) | 3 (10.7) | ||
| Reason for induced abortion | 11.752* | 0.014 | |||
| Failure of contraception | 133 (31.9) | 119 (30.6) | 14 (50.0) | ||
| Nonuse of contraceptives | 88 (21.1) | 79 (20.3) | 9 (31.2) | ||
| Risk to maternal/fetal health | 72 (17.3) | 70 (18.0) | 2 (7.1) | ||
| Disrupt employment | 65 (15.6) | 62 (15.9) | 3 (10.7) | ||
| Breaching one-child policy | 59 (14.1) | 59 (15.2) | 0 (0.0) | ||
| Venue for induced abortion | 7.481* | 0.091 | |||
| Provincial and municipal hospital | 153 (36.7) | 142 (36.5) | 11 (39.3) | ||
| District hospital | 110 (26.4) | 100 (25.7) | 10 (35.7) | ||
| Township or Sub-district hospital | 86 (20.6) | 85 (21.9) | 1 (3.6) | ||
| Family planning service station | 41 (9.8) | 38 (9.8) | 3 (10.7) | ||
| Private clinic | 27 (6.5) | 24 (6.2) | 3 (10.7) | ||
| Received post abortion care | 0.679 | 0.410 | |||
| Yes | 254 (60.9) | 239 (61.4) | 15 (53.6) | ||
| No | 163 (39.1) | 150 (38.6) | 13 (46.4) | ||
Note: Induced abortions status was measured by the last time of induced abortion
*Fisher’s exact test
Binary logistic regression analysis of factors influencing induced abortion among migrant women
| Variables | Total1003 (100.0) | Had induced abortion417 (41.6) | Unadjusted | Adjusted |
|---|---|---|---|---|
| Age (years) | ||||
| 18~ | 461 (46.0) | 120 (26.0) | 1.000 | 1.000 |
| 30~ | 452 (45.0) | 243 (53.8) | 3.304 (2.501, 4.364)*** | 1.654 (1.158, 2.364)** |
| 40 ~ 49 | 90 (9.0) | 54 (60.0) | 4.262 (2.663, 6.822)*** | 1.577 (0.914, 2.724) |
| Household registration place | ||||
| Guangdong province | 373 (37.2) | 104 (27.9) | 1.000 | 1.000 |
| Outside Guangdong province | 630 (62.8) | 313 (49.7) | 2.554 (1.940, 3.362)*** | 2.094 (1.542, 2.844)*** |
| Annual health checkup | ||||
| Yes | 606 (60.4) | 218 (36.0) | 1.000 | 1.000 |
| No | 397 (39.6) | 199 (50.1) | 1.789 (1.383, 2.314)*** | 1.642 (1.225, 2.199)** |
| Level of education | ||||
| Junior high school or less | 440 (43.9) | 235 (53.4) | 1.000 | 1.000 |
| Senior high school | 356 (35.5) | 127 (35.7) | 0.484 (0.363, 0.644)*** | 0.606 (0.435, 0.843)** |
| College or more | 207 (20.6) | 55 (26.6) | 0.316 (0.220, 0.453)*** | 0.433 (0.273, 0.687)*** |
| Household registration type | ||||
| Urban | 288 (28.7) | 132 (45.8) | 1.000 | 1.000 |
| Rural | 715 (71.3) | 285 (39.9) | 0.783 (0.594, 1.032) | 0.561 (0.395, 0.795)** |
| Years of residence in Guangzhou | ||||
| ≤5 | 408 (40.7) | 111 (27.2) | 1.000 | 1.000 |
| ≤10 | 298 (29.7) | 147 (49.3) | 2.605 (1.901, 3.569)*** | 1.781 (1.249, 2.541)** |
| >10 | 297 (29.6) | 159 (53.5) | 3.083 (2.249, 4.226)*** | 1.630 (1.112, 2.389)** |
| Number of children | ||||
| 0 | 270 (26.9) | 34 (12.6) | 1.000 | 1.000 |
| 1 | 472 (47.1) | 236 (50.0) | 6.883 (4.603, 10.291)*** | 3.658 (2.328, 5.748)*** |
| ≥2 | 261 (26.0) | 147 (56.3) | 8.913 (5.769, 13.769)*** | 3.697 (2.184, 6.259)*** |
| Marital status | ||||
| Married | 792 (79.0) | 389 (49.1) | 1.000 | |
| Unmarried | 200 (19.9) | 28 (14.0) | 0.129 (0.081, 0.205)*** | - |
| Employment status | ||||
| Employed | 816 (81.4) | 324 (39.7) | 1.000 | - |
| Unemployed | 187 (18.6) | 93 (49.7) | 1.502 (1.092, 2.067)* | - |
| Self-rated health status | ||||
| Excellent/Good | 689 (68.7) | 258 (37.4) | 1.000 | - |
| Fair | 297 (29.6) | 150 (50.5) | 1.705 (1.295, 2.244)*** | - |
| Poor/Very poor | 17 (1.7) | 9 (52.9) | 1.879 (0.716, 4.932) | - |
| Maternity insurance | ||||
| Yes | 168 (16.7) | 51 (30.4) | 1.000 | - |
| No | 835 (83.3) | 366 (43.8) | 1.790 (1.254, 2.556)** | - |
| Health insurance | ||||
| Yes | 299 (29.8) | 132 (44.1) | 1.000 | - |
| No | 704 (70.2) | 285 (40.5) | 0.861 (0.655, 1.131) | - |
Note: Variables, except health insurance, had a P value <0.2 in the univariate analysis
***P < 0.001, **P < 0.01, *P < 0.05