The Effects Of Information Technology Intervention On Gestational Weight Management Based On SCT

Objectives:1.To explore the status of gestational weight gain(GWG)and analyze the influencing factors.2.To explore the effects of information technology intervention on gestational weight management based on social cognitive theory(SCT).Methods:1.458 pregnant women who meet the inclusion criteria in the obstetric outpatient in a tertiary hospital were selected as the research object.Questionnaire surveys were conducted on pregnant women using the General Conditions of Pregnant Women Scale,the General Self Efficacy Scale(GSES)and the Pregnancy Weight Management Strategy Scale(PWMSS),and maternal and infant pregnancy outcome data were collected.Analyze the status and influencing factors of GWG.2.200 pregnant women who met the inclusion criteria in the obstetric outpatient in a tertiary hospital were selected as the research object.There were 100 in the control group and 100 in the experimental group.The control group used routine health education intervention,and the experimental group used information technology intervention under the guidance of SCT based on routine health education intervention.To comparing the GWG,weight management strategies during pregnancy,self-efficacy,neonatal birth weight and pregnancy outcome of pregnant women and fetuses between two groups.Results:1.The status and influencing factors of GWG(1)The status of GWG:The average GWG was(15.14±4.68)kg and the incidence of excessive gestational weight gain(EGWG)was 37.55%.Most of pregnant women who were low or normal body weight before pregnancy were in line with the weight gain criteria(81.40%and 58.05%).Most of pregnant women who were overweight and obese before pregnancy were above the weight gain standard(80.77%and 75.00%).(2)Other conditions of pregnant women:The average gestational age of pregnant women was(39.22±2.13)weeks.There were 142 cases of cesarean section(31.00%)and 316 cases of spontaneous delivery(69.00%)in pregnant women.There were 233 cases of pregnancy complications(50.87%)and 225 cases without gestational complications(49.13%)in pregnant women.The average score of the PWMSS was 67.94±15.89,and the average score of the GSES was 2.37±0.34.(3)Newborn birth condition:The average newborn birth weight was(3645.02±453.98)g.There were 11 cases in low birth weight infants(2.40%)and 44 cases in macrosomia(9.61%),There were 52 cases of neonatal complications(11.35%)and 406 cases without neonatal complications(88.65%).(4)The influencing factors of GWG:Factors affecting △BMI during pregnancy include weight management strategies during pregnancy,general self-efficacy,BMI before pregnancy,age,place of residence,education and gravidity.With the increase of BMI before pregnancy,age and gravidity,△BMI during pregnancy was higher.With the increase of general self-efficacy,weight management strategies during pregnancy,education and living in cities,ABMI during pregnancy was smaller(p<0.01).2.The effects of information technology intervention on gestational weight management based on SCT(1)Comparison of GWG between the two groups:The weight gain and △BMI during pregnancy in the control group were significantly higher than those in the experimental group(p<0.05).The incidence of EGWG and GWG falling below weight gain criteria in the control group were higher than that in the experimental group.The incidence of GWG meeting weight gain criteria in the control group was lower than that in the experimental group,and the difference between the two groups was statistically significant(p<0.001).There was no statistically significant difference of pregnant women at the height of uterus and abdominal circumference before delivery between the two groups(p>0.05).(2)Comparison of other situations of pregnant women between the two groups:The cesarean section rate,the incidence of gestational diabetes mellitus,the incidence of postpartum hemorrhage and the incidence of postpartum depression in the experimental group were significantly lower than in the control group(p<0.05).There was no significant difference in the gestational weeks for delivery and the incidence of preterm delivery between the two groups(p>0.05).After the intervention,the scores of the PWMSS during pregnancy increased significantly in two groups(p<0.001).After the intervention,the score of the GSES in the experimental group was significantly higher than before(p<0.001).However,there was no significant difference in the scores of the GSES in control group between before and after intervention(p=0.907).After the intervention,the scores of the PWMSS and the GSES in the experimental were significantly higher than those in the control group(p<0.05).(3)Comparison of newborn birth condition between the two groups:There was no statistically significant difference in mean birth weight and the incidence of neonatal complication between the two groups(p>0.05).However,the incidence of macrosomia in the control group was significantly higher than that in the experimental group(p=0.030).Conclusions:1.The incidence of EGWG in pregnant women in this region is at a high level.Factors affecting GWG include weight management strategies during pregnancy,general self-efficacy,BMI before pregnancy,age,place of residence,education and gravidity.2.Information technology interventions based on SCT can effectively manage the GWG and improve the pregnancy outcome of pregnant women and fetuses.