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Purpose: Nutrient intake for pregnant women with gestational diabetes mellitus (GDM) is important to ensure satisfactory birth outcomes. This study aims to explore the dietary profiles of patients with GDM, compare the results with the Chinese dietary guidelines or Dietary Reference Intakes (DRIs) from China and investigate the relationship between maternal dietary intake and pregnancy outcomes. Patients and Methods: A total of 221 patients with GDM in the second trimester were included in the cohort. Dietary intake data were collected using a 24-hour recall method for three consecutive days. The pregnancy outcomes of these participants were subsequently monitored. Both univariate logistic regression and multivariate logistic regression analyses were conducted to explore the associations between dietary intake variables or general characteristics variables and adverse pregnancy outcomes. Results: Participants with adverse pregnancy outcomes showed a lower intake of iodine and vitamin D, a lower percentage of dietary energy intake from carbohydrates and a higher percentage of dietary energy intake from fats, compared to participants without adverse pregnancy outcomes. The gestational weight gain and family history of diabetes were associated with an increased risk of adverse pregnancy outcomes. Conversely, regular exercise, the intake of iodine and Vitamin D, and the percentage of dietary energy intake from carbohydrates were associated with a decreased risk. Conclusion: The daily diet of pregnant women with GDM in China did not meet the dietary guidelines or DRIs. The low intake of Vitamin D and iodine, the low dietary carbohydrate ratio, family history of diabetes, lack of exercise, and high gestational weight gain were associated with increased risk of adverse pregnancy outcomes in pregnant women with GDM. [ABSTRACT FROM AUTHOR]

Background: The severity of liver fibrosis is an important predictor of death in patients with non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). However, there is still no definite conclusion on the relationship between triiodothyronine (T3) and the severity of liver fibrosis. Thus, the aim of this study was to analyze the correlation between T3 level and the severity of liver fibrosis. Methods: We performed a cross-sectional study of 2072 T2DM patients with normal thyroid function from January 2017 to January 2020. NAFLD fibrosis score (NFS), Fibrosis index based on the 4 factors (FIB-4) and BARD score (BARD) were used to assess the severity of fibrosis in T2DM patients, and linear regression analyses were used to determine the factors independently associated with liver fibrosis. Further experiments were performed to assess the impact of low T3 on fibrosis progression in mice model and explore possible mechanisms. Results: Free triiodothyronine (fT3) levels had significantly inverse correlations with NFS and FIB-4, and BARD in T2DM patients (P < 0.05). In multiple linear regression analyses, decreased fT3 level was an independent risk factor for the severity of liver fibrosis of T2DM patients (P < 0.01). Findings from in-vivo experiment using mice model proved that hypothyroidism mice had more severe of liver fibrosis than those mice with normal thyroid function. We also found that T3 could inhibit the profibrotic TREM2+CD9+ macrophage, which had been identified an important player in the progression of liver fibrosis. Conclusion: The findings from this study proved an inverse correlation between T3 level and the severity of liver fibrosis, and lower fT3 level within the normal range was an independent risk factor for severe liver fibrosis. [ABSTRACT FROM AUTHOR]

Background: Advanced maternal age (AMA; ≥35 years) is considered to be a major risk factor for adverse pregnancy outcomes. Along with the global trend of delayed childbearing, and in particular, the implementation of China's second and third-child policy leading to a dramatic increase of AMA in recent years, the association between maternal age and pregnancy outcomes requires more investigation., Methods: A population-based retrospective study was performed. Data were derived from the Medical Birth Registry of Xiamen from 2011 to 2018. Univariate and multivariate logistic regression was used to evaluate the effects of maternal age on pregnancy outcomes., Results: A total of 63,137 women categorized into different age groups (< 25 years, 25-29 years, 30-34 years, and ≥ 35 years) were included in this study. Compared with the mothers aged 25-29 years, the univariate regression analysis showed that mothers aged < 25 years had lower risks of gestational diabetes mellitus (GDM) and cesarean. AMA was associated with higher risks of GDM, hypertension, cesarean, preterm birth, low-birth weight (LBW), large-for-gestational-age (LGA), macrosomia, and stillbirth (all P < 0.01). After adjustment for potential confounding factors, increased risks of GDM, hypertension, cesarean, preterm birth, and LBW remained significantly associated with AMA (all P < 0.05), whereas AMA mothers showed a lower risk of macrosomia than their younger counterparts. Additionally, no significant differences were detected in terms of Apgar score < 7., Conclusion: AMA was associated with adverse pregnancy outcomes including increased risks of GDM, hypertension, cesarean, preterm birth, and LBW. This study confirmed the relationship between AMA and certain adverse maternal and fetal outcomes and emphasizes the necessity for women to be cautious about the age at which they become pregnant., (© 2023. The Author(s).)

Objective: Animal studies and epidemiological studies have shown that there is potential sex-specific sensitivity to the intrauterine environment in relation to the developmental programming of obesity. The objective of this study was to assess the sex-specific association between prenatal antibiotics exposure and body mass index (BMI) in offspring from 1 to 4 years., Methods: A total of 10,163 mother-child pairs from the Medical Birth Registry in Xiamen, China, were included in this prospective cohort study. Data on prenatal antibiotics exposure were collected from the prescription database., Results: A total of 4909 (48.3%) offspring had prenatal antibiotics exposure. The associations between prenatal antibiotics exposure and offspring's BMI were significantly different among female offspring and male offspring (P for interaction: 0.034 at 1 year of age; 0.033 at 2 years of age; 0.020 at 3 years of age; and 0.021 at 4 years of age). In female offspring, prenatal antibiotic use was significantly associated with a higher BMI Z-score from 1 to 4 years old (difference in BMI Z-score: 0.11 [95% CI: 0.05-0.17] at 1 years of age; 0.10 [95% CI: 0.05-0.16] at 2 years of age; 0.14 [95% CI: 0.09-0.21] at 3 years of age; and 0.13 [95% CI: 0.07-0.19] at 4 years of age) after adjustment for confounder. Prenatal antibiotics use was not associated with offspring BMI Z-score from 1 to 4 years in male offspring., Conclusions: The association of prenatal antibiotics exposure and BMI Z-score from 1 to 4 years old may differ by sex of offspring.

Objective: Using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria to diagnose gestational diabetes mellitus (GDM), the association between GDM and offspring body mass index (BMI) gains in early childhood in China remains unclear. We aimed to assess the association between GDM diagnosed by the IADPSG criteria and BMI gain and the risk for overweight/obesity in offspring from 1 to 4 years. Methods: This prospective cohort study was based on the healthcare records data from the Medical Birth Registry in Xiamen, China. We included 10,412 mother-child pairs tested for GDM using IADPSG criteria. Results: A total of 1,786 (17.2%) offspring were exposed to GDM. The offspring exposed to GDM had higher mean BMI Z-score (difference, 0.07; 95% confidence interval [CI], 0.02 to 0.12) and risk for overweight/obesity (odds ratio [OR], 1.22; 95% CI, 1.06 to 1.40) compared to those unexposed to GDM from 1 to 4 years of age. However, after adjustment for maternal pre-pregnancy BMI (Model 2), these associations attenuated towards the null (difference in BMI Z-score, 0.02; 95% CI, -0.03 to 0.07; OR for overweight/obesity, 1.09; 95% CI, 0.95 to 1.25). Conclusion: The associations between GDM diagnosed using IADPSG criteria and BMI Z-score and the risk for overweight/obesity in offspring at the age of 1 to 4 years were largely explained by maternal pre-pregnancy BMI. Reducing the prevalence of childhood overweight and obesity in China should focus on maternal weight status before pregnancy, in addition to glycemia during pregnancy. Abbreviations: BMI = body mass index; CI = confidence interval; GDM = gestational diabetes mellitus; IADPSG = International Association of Diabetes and Pregnancy Study Groups; LGA = large for gestational age; MBRX = Medical Birth Registry in Xiamen; OGTT = oral glucose tolerance test; OR = odds ratio.

Background: Childhood obesity is associated with adverse outcomes such as metabolic syndrome, diabetes, and cardiovascular diseases in adulthood. Identifying risk factors related to excessive adiposity in early childhood is of great importance for obesity intervention. The results of studies for associations between maternal with gestational diabetes and offspring obesity are conflicting. Nonetheless, the association of maternal glucose across a spectrum of glucose values with childhood adiposity outcomes is less clear., Aim: To assess the association of maternal glucose across a spectrum of glucose values with childhood adiposity at age 5 years., Methods: A population-based cohort study was conducted between 2011 and 2018. Using the healthcare records data were from the Medical Birth Registry in Xiamen, China. The primary outcome was offspring obese/obesity. Primary predictors were maternal oral glucose tolerance test values during pregnancy., Results: 6090 mother-child pairs were analyzed. The mean age of the children at follow-up was 5.2 years. At multiple logistic regression, after adjustment for variables, including maternal pre-pregnancy body mass index (BMI), birth weight of offspring, and insulin therapy, ORs for offspring overweight/obesity were 1.13 (95% CI 0.90 to 1.42) for maternal fasting glucose levels, 1.12 (95% CI 1.04 to 1.22) for 1-hour glucose, and 1.04 (95% CI 0.95 to 1.14) for 2-hour glucose. The adjusted association of offspring BMI Z-score with maternal 1-hour glucose level remained significant. There were no significant associations between BMI Z-score and maternal fasting glucose and 2-hour glucose level. Exploratory sex-specific analyses indicated generally consistent associations for boys and girls., Conclusion: Maternal postload 1-hour glucose across a spectrum of glucose values during pregnancy was an independent risk for offspring weight gain at age 5 years, indicating the importance of screen and management of maternal 1-hour glucose level, except for fasting glucose and 2-hour glucose level during pregnancy in order to prevent offspring weight gain in early childhood., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.)

Background: It has been reported that earlier age at menarche is associated with a higher risk for type 2 diabetes mellitus. However, the relationship between age at menarche and gestational diabetes mellitus is inconsistent across studies. We hypothesized that an earlier age at menarche would predict the gestational diabetes mellitus risk., Methods: This was a population-based, retrospective cohort study of 70,041 women aged 18 to 53 years old, conducted between 2011 and 2018. The subjects were recruited from the Medical Birth Registry in Xiamen, China. Age at menarche was categorized as 8-12, 13, 14, 15, 16-19 years old. Logistic regression analysis and spline analysis was used to assess the risk of the menarche age group for gestational diabetes mellitus. Linear regression analysis was performed to evaluate independent associations between age at menarche and fasting plasma glucose and blood glucose 1 hour and 2 hours after a 75-g of glucose load between 24 and 28 weeks' gestation., Results: The overall prevalence of GDM was 17.6%. After adjustment for family history of diabetes, earlier age at menarche (8-12, and 13 years old) was associated with increased odds for GDM (OR, 1.08; 95% CI, 1.02-1.15, and OR, 1.07; 95% CI, 1.03-1.14, respectively) compared with average age at menarche (14 years old). With further adjustment for pre-pregnancy body mass index, blood pressure, educational level, age at delivery, and hepatitis B surface antigen status, this association was attenuated (OR, 0.93, and OR, 1.02, respectively). Multivariable-adjusted spline regression models showed a linear dose-response association between age at menarche and GDM (P for nonlinearity, 0.203; P for linearity, 0.006). On linear regression analysis, earlier age at menarche was significantly associated with increased blood glucose one and 2 hours after a glucose load but not with the fasting plasma glucose., Conclusions: As expected, early age at menarche was found to be associated with an increased risk of gestational diabetes mellitus. However, this association may be mediated by potential confounding factors other than age. An additional finding was that earlier menarche was significantly related with elevated pregnancy glucose concentrations after a glucose load.