ABSTRACT
To investigate sub-health status of neonates in Heping Street Region and related risk factors. Then, 7436 maternal women admitted to hospital in Heping Street Region, Beijing were enrolled from October 2013 to September 2015, including 293 women, who gave birth to sub-health neonates. Questionnaire survey was conducted to collect maternal age, education degree, experiences and income, occupation, life habit, condition in pregnancy, condition in perinatal period, adverse reaction in pregnancy, etc. Finally, 281 effective questionnaires were regained with effective regain rate of 95.90%. Compared with the occurrence rate of sub-health neonates between local population and floating population, correlation analysis and multi-factor Logistic regression analysis were conducted on the influence factors of sub-health neonates. The occurrence rate of sub-health neonates among floating population is higher than that among local population [1.10% [59/2641] V.S. 4.88% [234/4795]] with significant difference [P<0.05]. Correlation analysis showed that the differences in mother's age, family income, education degree, harmful factors in contact environment, prenatal care, history of adverse pregnancy, unhealthy metal factor, gestational diabetes, diseases history in pregnancy, drug history in pregnancy, sexually transmitted disease, pregnancy hypertension, premature rupture of fetal membranes, and circular of umbilical cord performed statistical significance [P<0.05]. Moreover, mother's age, premature rupture of fetal membranes, disease history in pregnancy, drug history in pregnancy and pregnancy hypertension are the influence factors for the risk of sub-health neonates, while high family income and healthcare in pregnancy are protective factors from the risk of sub-health neonates. All of these differences showed statistical significance [P<0.05]. The occurrence of sub-health neonates among floating population is higher than that among local population. Mother's age, premature rupture of fetal membranes, disease history in pregnancy, drug history in pregnancy, and pregnancy hypertension are major risk factors of sub-health neonates. Therefore, these results help us to take corresponding measures to improve the quality of newly-born population