Objective? To investigate the breast feeding knowledge and self-efficacy among hospitalized multiparae and to explore the influencing factors of breast feeding self-efficacy. Methods? From January to August 2018, we selected hospitalized multiparae at Yuyao People＇s Hospital and Zhejiang Provincial People＇s Hospital as subjects by simple random sampling. All of the multiparae were investigated with the general information questionnaire, breast feeding knowledge questionnaire and breastfeeding self-efficacy scale. A total of 400 questionnaire were sent out and 372 valid questionnaire were collected with 93.0% for the valid recovery rate. Results? Among 372 hospitalized multiparae, the total score of breast feeding knowledge questionnaire was (5.53±1.02); the total score of breastfeeding self-efficacy was (80.36±16.72). Single factor analysis showed that there were statistical differences in the scores of breast feeding self-efficacy among hospitalized multiparae with different ages, education levels, working state, living styles, income levels, delivery modes, number of complications, training for breast feeding, mastery of breast feeding knowledge, breast feeding for the first time (P＜ 0.01). Correlation analysis showed that breast feeding knowledge had a statistically positive correlation with the self-efficacy among hospitalized multiparae (r=0.117, P=0.026). Multiple linear regression analysis proved that the main influencing factors of breast feeding self-efficacy among multiparae included working state, number of complications, training for breast feeding and breast feeding knowledge with a statistical difference. Conclusions? The breast feeding knowledge and self-efficacy of hospitalized multiparae are not good enough. Communities and hospitals need to work hard together to improve styles and strategies of breast feeding education so as to increase the rate of breast feeding.

Objective To explore the influencing factors and prediction model construction of type 2 diabetes(T2DM)in women with gestational diabetes mellitus(GDM)within 2 years after de-livery.Methods A total of 359 patients who diagnosed as GDM in prenatal examination and deliv-ered in Suzhou Ninth Hospital Affiliated to Soochow University were selected for a 2-year follow-up.According to whether T2DM occurred during the follow-up period,the patients were divided into T2DM group and non-T2DM group.Univariate analysis was performed on data of the two groups,and multivariate Logistic regression analysis was performed to establish the prediction model.The goodness of fit test and receiver operating characteristic(ROC)curve were used to analyze and evaluate the ef-fectiveness of the model.Results During the 2-year postpartum follow-up,53 cases fell off,and 306 patients completed the follow-up.Among the 306 patients who completed the 2-year follow-up,266 were not diagnosed with T2DM during the follow-up period(non-T2DM group),while 40 were diagnosed with T2DM(T2DM group).Statistically significant differences were observed between the T2DM andnon-T2DM groups in family history of diabetes,pre-pregnancy body mass index(BMI),2-hour postprandial glucose level(OGTT-2hPG)for GDM diagnosis,the number of visits to prenatal classes during pregnancy,postpartum BMI,and postpartum visceral fat area(VFA)(P＜0.05).Multivariate Logistic regression analysis revealed that family history of diabetes,OGTT-2hPG,post-partum BMI,and postpartum VFA were influencing factors in the development of T2DM within 2 years postpartum among GDM patients(P＜0.05),while attending prenatal classes during pregnan-cy emerged as a protective factor(P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated good fit of the prediction model(x2=2.076,P=0.665).The area under the ROC curve for the model was 0.891(95％CI,0.828 to 0.954),with a cutoff value of 0.795 corresponding to the maximum Youden index,a sensitivity of 0.890 and a specificity of 0.847.Conclusion The risk prediction model based on OGT-2hPG index during pregnancy,the number of pregnant women atten-ding school during pregnancy,family history of diabetes,postpartum BMI,VFA index has a certain predictive value for the risk of T2DM in GDM patients within 2 years after delivery.

Objective To explore the influencing factors and prediction model construction of type 2 diabetes(T2DM)in women with gestational diabetes mellitus(GDM)within 2 years after de-livery.Methods A total of 359 patients who diagnosed as GDM in prenatal examination and deliv-ered in Suzhou Ninth Hospital Affiliated to Soochow University were selected for a 2-year follow-up.According to whether T2DM occurred during the follow-up period,the patients were divided into T2DM group and non-T2DM group.Univariate analysis was performed on data of the two groups,and multivariate Logistic regression analysis was performed to establish the prediction model.The goodness of fit test and receiver operating characteristic(ROC)curve were used to analyze and evaluate the ef-fectiveness of the model.Results During the 2-year postpartum follow-up,53 cases fell off,and 306 patients completed the follow-up.Among the 306 patients who completed the 2-year follow-up,266 were not diagnosed with T2DM during the follow-up period(non-T2DM group),while 40 were diagnosed with T2DM(T2DM group).Statistically significant differences were observed between the T2DM andnon-T2DM groups in family history of diabetes,pre-pregnancy body mass index(BMI),2-hour postprandial glucose level(OGTT-2hPG)for GDM diagnosis,the number of visits to prenatal classes during pregnancy,postpartum BMI,and postpartum visceral fat area(VFA)(P＜0.05).Multivariate Logistic regression analysis revealed that family history of diabetes,OGTT-2hPG,post-partum BMI,and postpartum VFA were influencing factors in the development of T2DM within 2 years postpartum among GDM patients(P＜0.05),while attending prenatal classes during pregnan-cy emerged as a protective factor(P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated good fit of the prediction model(x2=2.076,P=0.665).The area under the ROC curve for the model was 0.891(95％CI,0.828 to 0.954),with a cutoff value of 0.795 corresponding to the maximum Youden index,a sensitivity of 0.890 and a specificity of 0.847.Conclusion The risk prediction model based on OGT-2hPG index during pregnancy,the number of pregnant women atten-ding school during pregnancy,family history of diabetes,postpartum BMI,VFA index has a certain predictive value for the risk of T2DM in GDM patients within 2 years after delivery.