[Construction and evaluation of weight retention nomogram prediction model for women 1 year after delivery].

OBJECTIVE: To analyze the influencing factors of body weight retention in woman at 1 year postpartum, and to construct and evaluate a nomogram prediction model for postpartum 1-year weight retention. METHODS: From September 2010 to February 2011, 468 pregnant women in the third trimester were recruited from Yuexiu District and Baiyun District Maternal and Child Health Hospital in Guangzhou, and followed up to 1 year postpartum. The basic demographic information of pregnant women was collected by self-made questionnaire. Dietary intake in the third trimester was investigated by 3-day 24-hour dietary review. The weight of women before delivery and one year after delivery were measured. According to whether the weight retention at 1 year postpartum is greater than 0 kg, the study subjects were divided into the 1-year postpartum weight retention group and weight recovery group. Logistic regression analysis were used to screen the influencing factors of weight retention at 1 year postpartum. R 4.2.3 software was used to construct the nomogram prediction model. The subject working characteristic curve, calibration curve, Hosmer-Lemeshow goodness of fit test and clinical decision curve were used to evaluate the model's differentiation, accuracy and clinical applicability. RESULTS: Among 329 subjects in the model training set, the 1-year postpartum weight retention was 68.09%, and the median and quartile levels of retained body weight were 5.0(3.0, 10.0)kg. After Logistic analysis, a nomogram prediction model was constructed based on five factors: pre-pregnancy body mass index(BMI), pregnancy weight gain, parity, gravitity, 0-6 months postpartum feeding pattern. The model had good discrimination(AUC_(training)=0.778, AUC_(testing)=0.767) and accuracy(Hosmer-Lemeshow test: P_(training)=0.946, P_(testing)=0.891). CONCLUSION: The 1-year postnatal weight retention nomogram model based on women's pre-pregnancy BMI, pregnancy weight gain, parity, gravitity, 0-6 months postpartum feeding pattern has good differentiation, accuracy and clinical applicability.

[Association of dietary quality during pregnancy with fetal immune function in Guangzhou].

OBJECTIVE: To investigate the situation of women's dietary quality during pregnancy and explore the correlations between maternal dietary index and fetal immune function. METHODS: From September 2010 to February 2011, pregnant women who had routine physical examination in Yuexiu District and Baiyun District Maternal and Child Health Hospital of Guangzhou were recruited as study objects to use 3-day 24-hour dietary review to investigate diet during pregnancy, and general demographic information of pregnant women was collected through questionnaire, and the neonatal umbilical cord blood was collected during delivery. Laboratory detection of immunological indicators included IgG, IgA, IgM, IFN-γ and IL-6. The quality of diet during pregnancy was evaluated by diet quality index for pregnancy(DQI-P), dietary balance index for pregnancy(DBI-P) and alternate Medierranean diet score(aMED). Spearman correlation analysis and multiple linear regression analysis were used to explore the correlations between dietary quality during pregnancy and fetal immune function. RESULTS: The mean score of total DQI-P score of the study subjects was 55.8±10.0, and the mean score of overall food diversity and protein food source diversity was as high as 12.0±2.4 and 4.8±0.7. The mean score of nutrient energy ratio and fatty acid energy ratio was only 0.3±1.0 and 0.4±1.0, indicating that the population had good dietary diversity during pregnancy, but the dietary adequacy, suitability and balance were poor. The total score of DBI-P score was-19.2±9.4. The positive end score was 4.6±2.9, only 7.2% of the subjects had a high degree of dietary intake during pregnancy. The negative end score was 23.9±7.9, indicating the status of moderate dietary intake. Dietary quality was 28.5±7.1. Only 0.6% of the study population had a balanced dietary situation, and more than 67.9% of pregnant women had high intake imbalance. The mean total score of aMED score was 4.9±1.3, and the proportion of the food intake of beans and nuts was less than the median population was 62.5% and 79.1%, respectively, indicating that the food intake of beans and nuts was insufficient in this population. After adjusting for confounding factors such as maternal age, parity, parity, prepregnancy BMI, weight gain during pregnancy, and mode of delivery, multiple linear regression analysis showed DQI-P during pregnancy and negatively with IL-6(ß=0.143, ß=-0.155, P<0.05). DBI-P was negatively associated with IL-6(ß=-0.177, P<0.01) and aMED and IFN-γ(ß=-0.161, P<0.01). CONCLUSION: The dietary quality of women in late pregnancy in Guangzhou is low, the dietary structure is unbalanced. Higher dietary quality during pregnancy can promote the development of fetal immune system and improve fetal immune function.

[Association of dietary glycemic load during pregnancy with gestational weight gain and fetal physical development].

OBJECTIVE: To investigate the situation of women's dietary glycemic load during pregnancy and explore the correlations between dietary glycemic index(GI) and gestational weight gain and fetal physical development. METHODS: The study was conducted in women in the third trimester of pregnancy and their new-born babies. The gestational dietary information was collected through a 3-day 24-hour dietary review. The general demographic information, diet and physical exercise, and weight were collected in questionnaire investigations, and the glycemic load during pregnancy were calculated. Participant were dived into low-glycemic-load group, middle-glycemic-load group and high-glycemic-load group according to the glycemic load. Gestational weigh gain, birth weight and birth length were measured. Multiple linear regression were used to analyze the relationship between glycemic load during pregnancy and gestational weight gain and fetal growth. RESULTS: The mean gestational glycemic load was 149.21±46.33. Women in high-glycemic-load group had higher intake of grain, potato, bacteria and algae, fruit, poultry and dairy but lower intake of aquatic product(P<0.05). The mean gestational weight gain was(15.03±4.35)kg. The mean fetal weight and birth length was(3229.18±375.09)g and(49.60±1.48)cm. Women in high-glycemic-load group had higher gestational weight gain(P<0.05). Multiple linear regression indicated that dietary glycemic load during pregnancy was postively correlated with gestational weight gain and birth length(ß_1=0.011, ß=0.003, P<0.05). CONCLUSION: The higher dietary glycemic load during pregnancy is, the higher gestational weight gain and birth length will be.