Objective: To explore the effect of nutrition suggestion and weight management during pregnant time on pregnancy outcome.Methods:1 Study objectsThe study objects were pregnant women who made specification antenatal examination and deliveried between December 2012 to April 2014 in our hospital, we chose these women by the method of random, and they were randomly divided into intervention group and control group. They were divided into group A and B by the antenatal BMI. Those women who were pre-pregnancy BMI<24kg/m2 were devided into the intervention group A(n=138) and the control group A(n=135), and pregnancy BMI≥24kg/m2 were devided into the intervention group B(n=119) and the control group B(n=81).2 Sample collecting: After admission, 3ml of fasting venous blood samples was collected before treatment, was used to detect the levels of FBG and serum lipids and other indicators.3 The experimemt indicators: All of the subjects was measured high density lipoprotein(HDL), low density lipoprotein(LDL), triglycerides(TG),total chlesterol(TC), glycated hemoglobin(Hb A1c) and Fasting blood glucose(FBG) levels, gestational age at delivery, height, weight, blood pressure and other indicators.4 Statistical methods: The results were analyzed by the SPSS 13.0software.Results:1 The intervention group A maternal serum LDL, TC, TG, FBG, HbA1 c level was significantly lower than the control group A(P<0.05), differenceswere statistically significant. The intervention group A maternal serum HDL level was significantly higher than the control group A( P<0.05), differences were statistically significant. The intervention group B maternal serum LDL,TC, TG, FBG, HbA1 c level was significantly lower than the control group B( P<0.05), differences were statistically significant. The intervention group B maternal serum HDL level was significantly higher than the control group B(P<0.05), differences were statistically significant. The intervention group B maternal serum LDL level was significantly lower than the control group B(P<0.05), differences were statistically significant.2 The intervention group A with gestational hypertension, gestational diabetes, macrosomia, fetal distress, postpartum hemorrhage were respectively2, 3, 2, 0, 2 people, the rates were respectively1.4%, 2.2%, 1.4%, 0, 1.4%. The intervention group B with gestational hypertension, gestational diabetes,macrosomia, fetal distress, postpartum hemorrhage were respectively 5, 7, 7, 2,4 people, the rates were respectively 4.2%, 5.9%, 5.9%, 1.7%, 3.4%. The control group A with gestational hypertension, gestational diabetes,macrosomia, fetal distress, postpartum hemorrhage were respectively 9, 15, 13,5, 8 people, the rates were respectively 6.7%, 11.1%, 9.6%, 3.7%, 5.9%. The control group B with gestational hypertension, gestational diabetes,macrosomia, fetal distress, postpartum hemorrhage were respectively 14, 26,18, 8, 10 people, the rates were respectively17.3%, 32.1%, 22.2%, 9.7 %,12.3%. After statistical analysis, the intervention group A with gestational hypertension, gestational diabetes, macrosomia, fetal distress, postpartum hemorrhage was significantly lower than the of proportion the control group A(P<0.05), the difference was statistically significant; the intervention group B with gestational hypertension, gestational diabetes, macrosomia was significantly lower than the of proportion the control group B(P<0.05), the difference was statistically significant; the intervention group B with the proportion of fetal distress and postpartum hemorrhage was no significant difference as compared to the control group B(P>0.05).3 Before delivery BMI in the control group A(n=135) was respectivelycorrelated with HDL, LDL, TC, TG, FBG, HbA1 c, and showed that before delivery BMI in the control group A of pregnant women was negatively correlated with HDL(r=-0.272, P<0.05), and positive correlation with LDL(r=0.355, P<0.05), and positive correlation with TC(r=-0.381, P<0.05), and positive correlated with TG(r =0.354, P<0.05), and positive correlation with HbA1c(r=0.403,P<0.05), and positive correlation with FBG(r=0.602,P<0.05). Before delivery BMI in the control group B pregnant women(n=81)was respectively correlated with HDL, LDL, TC, TG, FBG, HbA1 c, and showed that before delivery BMI in the control group B was negatively correlated with HDL(r=-0.469, P<0.05), and positive correlation with LDL(r=0.556, P <0.05), and positive correlation with TC(r=0.567, P<0.05), and positive correlation with TG(r=0.541, P<0.05), and positive correlation with HbA1c(r=0.489,P<0.05), and positive correlation with FBG(r=0.517,P<0.05). Before delivery BMI in the intervention group A(n=138) was respectively correlated with HDL, LDL, TC, TG, FBG, HbA1 c, and showed that before delivery BMI in intervention group A was positively correlated with TC(r=0.225, P<0.05), and positive correlation with TG(r=0.258,P<0.05), and was no significant correlation with HDL, LDL, FBG, HbA1c(all P>0.05). Before delivery BMI in intervention group B(n=119) was respectively correlated with HDL, LDL, TC, TG, FBG, HbA1 c, showed that before delivery BMI in intervention group B was positively correlated with TC(r=0.408, P<0.05), and positive correlation with TG(r=0.448, P<0.05),and was no significant correlation with HDL, LDL, FBG, HbA1c(all P>0.05).Conclusion:1 Nutrition and weight management intervention for pregnant women can significantly reduce BMI in obese pregnant women.2Nutrition and Weight Management of pregnant women can significantly improve pregnancy outcomes, and can significantly reduce the incidence of perinatal complications and comorbidities.3 Assistance build healthy nutrition for pregnant women ways to improve the quality of life, and save medical costs. |