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      우리나라 지역별 다태아 출생률에 관한 연구: 2009-2013 = Regional Variance of Multiple Birth Rate in Korea: 2009-2013

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      https://www.riss.kr/link?id=A102413082

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      다국어 초록 (Multilingual Abstract)

      Objectives: To analyze the regional variance of multiple birth rate (MBR). Methods: We used the 2009-2013 birth certificated data (2,252,771 births) of seven metropolitan cities and nine provinces from Statistics Korea. The data of extra-marital birth...

      Objectives: To analyze the regional variance of multiple birth rate (MBR). Methods: We used the 2009-2013 birth certificated data (2,252,771 births) of seven metropolitan cities and nine provinces from Statistics Korea. The data of extra-marital birth and information missing cases were excluded. The odds ratio and 95% confidence intervals were calculated using logistic regression to describe the regional variance of MBR adjusted for year of birth, infantile sex, maternal age, age difference between couple, and maternal education and occupation. Results: The higher incidence of maternal age standardized MBR were observed in Seoul metropolitan city (3.24%), Ulsan metropolitan city (3.21%), Chungcheongbuk-do (3.13%) and Gwangju metropolitan city (3.11), and the lower in Jeju-do (2.47%), Gangwon-do (2.51%), Daegu metropolitan city (2.57%), Gyeongsangbuk-do (2.57%) and Chungcheongbuk-do (2.61%). After adjustment by logistic regression for demographic variables. there was a significant increase in the risk of MBR in Ulsan metropolitan city (odds ratio: 1.281, 95% confidence interval: 1.195-1.373), Seoul metropolitan city (1.272: 1.205-1.343), Gwangju metropolitan city (1.233: 1.152-1.319), Chungcheongbuk-do (1.232: 1.152-1.317), and Incheon metropolitan city (1.231: 1.158-1.308), as compared with the incidence of MBR in Gangwon-do. Compared with MBR of Gangwon-do, the odds ratio of MBR by region were 0.965 in Jeju-do, 1.010 in Daegu metropolitan city, 1.021 in Gyeongsangbuk-do, and 1.030 in Jeollabuk-do (p>0.05). Conclusions: Regional variance of MBR was observed between metropolitan cities and provinces in Korea. Further study is needed to understand the risk factors (socio-demographic factors, medical factors: fertility therapies) associated with this differences.

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