AIM To investigate the prevalence and related risk factors of birth defects in Shanghai. METHODS This report describes a population-based study of all births at the Obstetrics and Gynecology Hospital of Fudan Universi...AIM To investigate the prevalence and related risk factors of birth defects in Shanghai. METHODS This report describes a population-based study of all births at the Obstetrics and Gynecology Hospital of Fudan University in Shanghai, China from January 2008 to December 2014. A logistic regression analysis was used to identify the parameters that are independently associated with birth defects. RESULTS A total of 82814 births, including 824 cases of birth defects, were recorded. The rate of birth defects was 0.995 per 100 births. In the multivariable regression analysis, neonatal birth defects were likely to be associated with higher gravidity [odds ratio(OR), 1.099, 95%CI: 1.024-1.178], premature birth(OR = 1.905, 95%CI: 1.501-2.418), low birth weight(OR = 3.844, 95%CI: 3.004-4.919), twin births or higher order multiple pregnancies(OR = 1.477, 95%CI: 1.107-1.969), cesarean delivery(OR = 1.184, 95%CI: 1.016-1.380) and registration as part of a migrant population(OR = 1.380, 95%CI: 1.167-1.632). Female infants were less likely to have birth defects than male infants(OR = 0.710, 95%CI: 0.616-0.818). CONCLUSION Higher gravidity, premature birth, lower birth weight,twin births or higher order multiple pregnancies, and registration as part of a migrant population are independent predictors of birth defects.展开更多
文摘AIM To investigate the prevalence and related risk factors of birth defects in Shanghai. METHODS This report describes a population-based study of all births at the Obstetrics and Gynecology Hospital of Fudan University in Shanghai, China from January 2008 to December 2014. A logistic regression analysis was used to identify the parameters that are independently associated with birth defects. RESULTS A total of 82814 births, including 824 cases of birth defects, were recorded. The rate of birth defects was 0.995 per 100 births. In the multivariable regression analysis, neonatal birth defects were likely to be associated with higher gravidity [odds ratio(OR), 1.099, 95%CI: 1.024-1.178], premature birth(OR = 1.905, 95%CI: 1.501-2.418), low birth weight(OR = 3.844, 95%CI: 3.004-4.919), twin births or higher order multiple pregnancies(OR = 1.477, 95%CI: 1.107-1.969), cesarean delivery(OR = 1.184, 95%CI: 1.016-1.380) and registration as part of a migrant population(OR = 1.380, 95%CI: 1.167-1.632). Female infants were less likely to have birth defects than male infants(OR = 0.710, 95%CI: 0.616-0.818). CONCLUSION Higher gravidity, premature birth, lower birth weight,twin births or higher order multiple pregnancies, and registration as part of a migrant population are independent predictors of birth defects.
