| Literature DB >> 28947460 |
In Gyu Song1,2, Min Sun Kim3, Seung Han Shin4, Ee-Kyung Kim4, Han-Suk Kim4, Seulggie Choi5, Soonman Kwon2, Sang Min Park5,6.
Abstract
OBJECTIVES: The Republic of Korea (Korea) has experienced a steady increase in the number of births from immigrant women over the last 20 years. However, little is known about the birth outcomes of immigrant women in Korea. This study compared Korean birth data from immigrant and native women who married native men, and explored the factors that affected birth outcomes among immigrant women.Entities:
Keywords: Immigrant; Korea; Low Birthweight; Preterm Birth
Mesh:
Year: 2017 PMID: 28947460 PMCID: PMC5623517 DOI: 10.1136/bmjopen-2017-017720
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The study population framework illustrating the number of births assessed.
Background characteristics of native Koreans and mixed-couples births between 2010 and 2013 in the Republic of Korea
| Characteristics | Native Koreans, | Mixed-background couples, | p Value |
| Infant sex | |||
| Male | 875 030 (51.4) | 36 123 (51.4) | 0.884 |
| Female | 825 946 (48.6) | 34 135 (48.6) | |
| Marital status | |||
| Married | 1678 635 (98.7) | 69 803 (99.4) | <0.001 |
| Unmarried | 22 341 (1.3) | 455 (0.6) | |
| Paternal age (years) | |||
| Mean | 33.5 (4.3) | 39.7 (5.8) | <0.001 |
| <20 | 2755 (0.2) | 7 (0.0) | <0.001 |
| 20–29 | 270 779 (16.0) | 2626 (3.7) | |
| 30–39 | 1285 993 (75.7) | 31 118 (44.4) | |
| ≥40 | 140 321 (8.2) | 36 258 (51.8) | |
| Maternal age (years) | |||
| Mean | 31.2 (3.9) | 27.1 (5.4) | <0.001 |
| <20 | 6268 (0.4) | 2588 (3.7) | <0.001 |
| 20–34 | 1381 027 (81.2) | 60 365 (85.9) | |
| ≥35 | 313 581 (18.4) | 7260 (10.4) | |
| Area of birth | |||
| Metropolitan city | 727 158 (44.2) | 23 718 (34.9) | <0.001 |
| Others | 917 798 (55.8) | 44 356 (65.1) | |
| Place of birth | |||
| Hospital | 1674 007 (98.4) | 69 171 (98.5) | 0.132 |
| Others | 26 308 (1.6) | 1036 (1.5) | |
| Paternal education | |||
| University or higher | 1234 900 (72.7) | 23 157 (33.2) | <0.001 |
| High school or lower | 462 947 (27.2) | 46 637 (66.8) | |
| Maternal education | |||
| University or higher | 1222 533 (72.0) | 19 594 (28.2) | <0.001 |
| High school or lower | 475 726 (28.0) | 50 011 (71.8) | |
| Paternal employment | |||
| Manager or specialist | 476 790 (28.0) | 10 562 (15.5) | <0.001 |
| Officer | 587 945 (34.6) | 12 903 (19.0) | |
| Service | 292 060 (17.2) | 12 272 (18.0) | |
| Blue collar | 281 132 (16.5) | 28 455 (41.8) | |
| Unemployed* | 63 019 (3.7) | 3882 (5.7) | |
| Maternal employment | |||
| Manager or specialist | 223 828 (13.2) | 1879 (2.7) | <0.001 |
| Officer | 250 488 (14.7) | 1439 (2.0) | |
| Service | 78 544 (4.6) | 1080 (1.5) | |
| Blue | 29 752 (1.7) | 3343 (4.8) | |
| Unemployed* | 1118 364 (65.8) | 62 517 (89.0) | |
| Parity | |||
| Primiparous | 867 449 (51.0) | 42 747 (60.9) | <0.001 |
| Multiparous | 832 458 (49.0) | 27 443 (39.1) | |
| Maternal country | |||
| High and upper-middle income | NA | 27 007 (38.6) | - |
| Asia | 24 637 (35.2) | ||
| Europe | 513 (0.7) | ||
| America and Pacific region | 1857 (2.7) | ||
| Africa | 0 (0.0) | ||
| Low and lower-middle income | NA | 45 971 (61.4) | - |
| Asia | 41 519 (59.3) | ||
| Europe | 1445 (2.1) | ||
| America and Pacific region | 0 (0.0) | ||
| Africa | 7 (0.0) |
*Unemployed: unemployed, housewife or student.
The associations of nationality of women who married to native men and risks of adverse birth outcomes, Republic of Korea, 2010–2013
| Country | % | Adjusted OR | 95% (CI) | |
| Preterm birth | Native | 4.52 | 1.0 (reference) | |
| Immigrant | 4.62 | 1.00 | 0.96 to 1.05 | |
| China | 4.01 | 1.01 | 0.93 to 1.09 | |
| Vietnam | 4.52 | 0.96 | 0.90 to 1.03 | |
| Philippines | 6.70 | 1.26** | 1.12 to 1.52 | |
| Post-term birth | Native | 0.25 | 1.0 (reference) | |
| Immigrant | 0.42 | 1.62** | 1.44 to 1.83 | |
| China | 0.40 | 1.46* | 1.16 to 1.83 | |
| Vietnam | 0.34 | 1.34* | 1.10 to 1.63 | |
| Philippines | 0.44 | 1.79* | 1.25 to 2.57 | |
| Low birth weight | Native | 3.57 | 1.0 (reference) | |
| Immigrant | 4.09 | 1.17** | 1.12 to 1.22 | |
| China | 2.82 | 0.77** | 0.70 to 0.85 | |
| Vietnam | 4.35 | 1.31** | 1.22 to 1.40 | |
| Philippines | 6.21 | 1.61** | 1.43 to 1.82 | |
| Macrosomia | Native | 3.06 | 1.0 (reference) | |
| Immigrant | 2.71 | 0.92** | 0.85 to 0.96 | |
| China | 4.65 | 1.55** | 1.44 to 1.66 | |
| Vietnam | 1.74 | 0.60** | 0.55 to 0.66 | |
| Philippines | 1.75 | 0.60** | 0.50 to 0.72 |
Adjusted with infant sex, marital status, parity, maternal age, and birth weight and gestational age were mutually adjusted
*p<0.05, ** p<0.001.
Subgroup analyses according to parity about risk of adverse birth outcomes in immigrant women who married to native men in the Republic of Korea 2010–2013
| Parity | Adjusted OR | 95% CI | |
| Preterm birth | Primipara | 1.05 | 0.99 to 1.10 |
| Multipara | 0.95 | 0.89 to 1.01 | |
| Post-term birth | Primipara | 1.54** | 1.34 to 1.76 |
| Multipara | 1.94** | 1.53 to 2.47 | |
| Low birth weight | Primipara | 1.21** | 1.15 to 1.28 |
| Multipara | 1.08 | 1.00 to 1.17 | |
| Macrosomia | Primipara | 0.90* | 0.85 to 0.96 |
| Multipara | 0.93 | 0.87 to 1.00 |
Adjusted with infant sex, marital status, maternal age, and birth weight and gestational age were mutually adjusted.
*p<0.05, **p<0.001.
Multivariate analyses for factors associated with adverse birth outcomes among immigrant women who married to native men in the Republic of Korea 2010–2013
| Preterm birth | Post-term birth | Low birth weight | Macrosomia | |
| Infant sex | ||||
| Female | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Male | 1.36 (1.27 to 1.46)** | 0.86 (0.68 to 1.08) | 0.87 (0.80 to 0.94)** | 1.75 (1.59 to 1.92)** |
| Marital status | ||||
| Married | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Unmarried | 1.11 (0.57 to 2.19) | 0.95 (0.13 to 6.85) | 0.97 (0.45 to 2.09) | 0.83 (0.41 to 1.69) |
| Paternal age (years) | ||||
| <20 | 0 | 0 | 4.71 (0.54 to 41.07) | 0 |
| 20–29 | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| 30–39 | 1.23 (0.98 to 1.54) | 0.70 (0.43 to 1.14) | 1.15 (0.91 to 1.45) | 1.13 (0.88 to 1.44) |
| ≥40 | 1.27 (1.01 to 1.59)* | 0.61 (0.36 to 1.02) | 1.13 (0.89 to 1.43) | 1.35 (1.05 to 1.73)* |
| Maternal age (years) | ||||
| <20 | 1.08 (0.90 to 1.30) | 0.76 (0.39 to 1.50) | 1.13 (0.95 to 1.35) | 1.02 (0.75 to 1.38) |
| 20–34 | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| ≥35 | 1.49 (1.32 to 1.67)** | 1.41 (0.97 to 2.05) | 1.71 (1.50 to 1.93)** | 0.99 (0.86 to 1.15) |
| Parity | ||||
| Primiparous | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Multiparous | 0.96 (0.89 to 1.03) | 0.50 (0.38 to 0.66)** | 0.67 (0.61 to 0.72)** | 1.12 (1.02 to 1.23)* |
| Area of birth | ||||
| Metropolitan | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Others | 1.00 (0.93 to 1.08) | 0.93 (0.73 to 1.19) | 0.94 (0.87 to 1.02) | 1.02 (0.92 to 1.12) |
| Place of birth | ||||
| Hospital | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Others | 0.96 (0.71 to 1.28) | 2.91 (1.62 to 5.21)** | 1.05 (0.76 to 1.45) | 1.12 (0.78 to 1.61) |
| Paternal education | ||||
| High school or below | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| University or higher | 1.04 (0.95 to 1.14) | 1.03 (0.78 to 1.37) | 1.01 (0.92 to 1.11) | 0.90 (0.80 to 1.01) |
| Maternal education | ||||
| High school or below | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| University or higher | 1.02 (0.93 to 1.12) | 1.24 (0.93 to 1.65) | 1.04 (0.94 to 1.15) | 0.93 (0.83 to 1.05) |
| Paternal job | ||||
| Manager/specialist | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Clerical workers | 0.97 (0.86 to 1.10) | 1.19 (0.82 to 1.73) | 1.04 (0.91 to 1.19) | 1.08 (0.92 to 1.26) |
| Service worker | 0.94 (0.83 to 1.10) | 0.93 (0.62 to 1.41) | 0.95 (0.83 to 1.10) | 1.14 (0.97 to 1.34) |
| Blue collar | 1.00 (0.89 to 1.12) | 1.00 (0.68 to 1.45) | 1.09 (0.96 to 1.24) | 1.04 (0.89 to 1.20) |
| Unemployed† | 0.97 (0.81 to 1.16) | 1.14 (0.65 to 1.98) | 1.16 (0.97 to 1.40) | 0.96 (0.75 to 1.21) |
| Maternal job | ||||
| Manager/specialist | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Clerical workers | 1.03 (0.74 to 1.45) | 0.86 (0.41 to 1.77) | 0.74 (0.49 to 1.11) | 0.88 (0.59 to 1.30) |
| Service workers | 1.12 (0.79 to 1.61) | 0.54 (0.20 to 1.48) | 1.02 (0.68 to 1.53) | 0.99 (0.65 to 1.52) |
| Blue collar | 0.72 (0.53 to 0.97)* | 0.64 (0.31 to 1.33) | 0.88 (0.64 to 1.21) | 0.92 (0.64 to 1.31) |
| Unemployed† | 0.93 (0.74 to 1.17) | 0.48 (0.29 to 0.80)* | 0.95 (0.73 to 1.23) | 0.93 (0.71 to 1.22) |
| Maternal country | ||||
| High and UM‡ | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) | 1.0 (reference) |
| Low and LM§ | 1.28 (1.17 to 1.40)** | 1.11 (0.83 to 1.48) | 1.60 (1.45 to 1.76)** | 0.40 (0.36 to 0.45)** |
*p<0.05, ** p<0.001.
†Unemployed: unemployed, housewife or student.
‡Upper middle-income countries.
§Lower middle-income countries.
aOR, adjusted OR.