| ObjectivesTo analyze the occurred status and distribution characteristics of adverse pregnancy outcomes such as premature birth, low birth weight, macrosomia, neonatal asphyxia, birth defects and stillbirth in parts of northwestern region, included Jinchang city, Zhangye city, Hainan Tibetan Autonomous Prefecture, Minhe county, Yinchuan city, Shizuishan city, Urumqi, Wusu city, Xi’an city, Lintong district. To explore adverse pregnancy outcomes associated with risk factors, to provide baseline data and scientific basis for reducing adverse pregnancy outcomes and future research on relationship between adverse pregnancy outcomes and environmental factors.MethodsIn this study, to select 1-3 main, representational general hospital or maternity and child-care hospital in each study area, then collect birth registration data from October 2009 to September 2014. The SPSS 17.0 statistical software was used to analyze the data, the Chi-square test and Fisher’s exact probability were used to analyze single factor, Logistic Regression was used to analyze multiple-factor.Results1. The incidence rates of premature birth, low birth weight, macrosomia, neonatal asphyxia, birth defects, stillbirth and adverse pregnancy outcomes in parts of northwestern region were 5.31%, 5.08%, 7.24%, 5.08%, 0.78%, 1.54% and 16.82% respectively. The distribution and the proportion of various adverse pregnancy outcomes in different areas were different. The incidence rate of macrosomia in Jinchang city, Yinchuan city, Shizuishan city, Urumqi, Wusu city, Xi’an city, Lintong district were higher than other outcomes, while the highest incidence rate of Zhangye city was premature birth, the highest incidence of Hainan Tibetan Autonomous Prefecture and Minhe county were low birth weight. It is important that close attention should be paid to neonatal asphyxia in Hainan Tibetan Autonomous Prefecture and Minhe county, birth defects in Shizuishan city, stillbirth in Urumqi.2. The results of Chi-square test and Logistic Regression analysis showed:(1) The influencing factors of premature birth were area, perinatal gender, maternal age, gravidity and parity. Lintong district had the lowest prevalence and Urumqi had the highest prevalence respectively; The prevalence of male infants was higher than female infants(OR>1,P<0.05); women under the age of 20 and over 35 had higher prevalence, which showed statistically significant differences(P<0.05); The prevalence of premature birth increased with the increased of gravidity and parity(OR>1,P<0.05);(2) The influencing factors of low birth weight were areas, perinatal gender, maternal age and parity. Shizuishan city had the lowest prevalence and Hainan Tibetan Autonomous Prefecture had the highest prevalence respectively; The prevalence of male infants was lower than female infants(OR<1,P<0.05); women under the age of 20 and over 35 had higher prevalence, the differences were statistically significant(P<0.05); The prevalence of low birth weight increased with the increased of parity(OR>1,P<0.05);(3) The influencing factors of macrosomia were areas, perinatal gender, maternal age, gravidity and parity. Hainan Tibetan Autonomous Prefecture had the lowest prevalence and Wusu city had the highest prevalence respectively; The prevalence of male infants was higher than female infants(OR>1,P<0.05); The prevalence of macrosomia increased with the increased of maternal age, women under the age of 20 had the lowest prevalence, and over 35 had the highest prevalence, the differences were statistically significant(P<0.05); The prevalence of macrosomia increased with the increased of gravidity and parity(OR>1,P<0.05);(4) The influencing factors of neonatal asphyxia were areas, perinatal gender, maternal age and parity. Xi’an city had the lowest prevalence and Minhe county and Hainan Tibetan Autonomous Prefecture had the highest prevalence respectively; The prevalence of male infants was higher than female infants(OR>1,P<0.05); women under the age of 20 had the highest prevalence, following by age group of 20~, the differences were statistically significant(P<0.05); The prevalence of neonatal asphyxia increased with the increased of parity(OR>1,P<0.05);(5) The influencing factors of birth defects were areas, perinatal gender, maternal age, gravidity and parity. Minhe county had the lowest prevalence and Shizuishan city had the highest prevalence respectively; The prevalence of male infants was higher than female infants(OR>1,P<0.05); women under the age of 20 and over 35 had higher prevalence, the differences were statistically significant(P<0.05); The prevalence of birth defects increased with the increased of gravidity(OR>1,P<0.05), parity at 1 time had the lowest prevalence(OR<1,P<0.05);(6) The influencing factors of stillbirth were areas, maternal age, gravidity and parity. Xi’an city had the lowest prevalence and Urumqi had the highest prevalence respectively; women under the age of 20 and over 35 had higher prevalence, the differences were statistically significant(P<0.05); The prevalence of stillbirth increased with the increased of gravidity(OR>1,P<0.05), parity at 2 times or more had the highest prevalence( OR>1,P<0.05);(7) The influencing factors of overall adverse pregnancy outcomes were areas, perinatal gender, maternal age, gravidity and parity. Lintong district had the lowest prevalence and Urumqi had the highest prevalence respectively; The prevalence of male infants was higher than female infants(OR>1,P<0.05); women under the age of 20 and over 35 had higher prevalence, the differences were statistically significant(P < 0.05); The prevalence of adverse pregnancy outcomes increased with the increased of gravidity and parity(OR>1,P<0.05).Conclusions1. The main adverse pregnancy outcomes were premature birth, low birth weight, macrosomia in parts of northwestern region in China. Neonatal asphyxia in Hainan Tibetan Autonomous Prefecture, birth defects in Shizuishan city, stillbirth in Urumqi should be paid close attention.2. The influencing factors about adverse pregnancy outcomes were different areas, male infants, maternal age is too small or too large, increased gravidity and parity. |
PDF Full Text Request