Multilevel multinomial regression analysis of factors associated with birth weight in sub-Saharan Africa.

Birth weight significantly determines newborns immediate and future health. Globally, the incidence of both low birth weight (LBW) and macrosomia have increased dramatically including sub-Saharan African (SSA) countries. However, there is limited study on the magnitude and associated factors of birth weight in SSA. Thus, thus study investigated factors associated factors of birth weight in SSA using multilevel multinomial logistic regression analysis. The latest demographic and health survey (DHS) data of 36 sub-Saharan African (SSA) countries was used for this study. A total of a weighted sample of 207,548 live births for whom birth weight data were available were used. Multilevel multinomial logistic regression model was fitted to identify factors associated with birth weight. Variables with p-value < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable multilevel multinomial logistic regression analysis, the adjusted Relative Risk Ratio (aRRR) with the 95% confidence interval (CI) was reported to declare the statistical significance and strength of association. The prevalence of LBW and macrosomia in SSA were 10.44% (95% CI 10.31%, 10.57%) and 8.33% (95% CI 8.21%, 8.45%), respectively. Maternal education level, household wealth status, age, and the number of pregnancies were among the individual-level variables associated with both LBW and macrosomia in the final multilevel multinomial logistic regression analysis. The community-level factors that had a significant association with both macrosomia and LBW were the place of residence and the sub-Saharan African region. The study found a significant association between LBW and distance to the health facility, while macrosomia had a significant association with parity, marital status, and desired pregnancy. In SSA, macrosomia and LBW were found to be major public health issues. Maternal education, household wealth status, age, place of residence, number of pregnancies, distance to the health facility, and parity were found to be significant factors of LBW and macrosomia in this study. Reducing the double burden (low birth weight and macrosomia) and its related short- and long-term effects, therefore, calls for improving mothers' socioeconomic status and expanding access to and availability of health care.

Effect of Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes among hyperglycemic mothers.

OBJECTIVE: Hyperglycemic mothers and their offspring are at increased risk of various maternal and neonatal complications such as macrosomia, future type 2 diabetes, and metabolic abnormalities. Early diagnosis and individualized dietary management, exercise, and emotional well-being are expected to reduce these risks. The study aims to identify the effect of the Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes of hyperglycemic mothers. PATIENTS AND METHODS: A pre-experimental study was performed among 89 hyperglycemic mothers. Glycemic control at 28 and 36 weeks, weight gain during pregnancy, pre-eclampsia, pregnancy-induced hypertension (PIH), mode of delivery, duration of exercise, emotional well-being, neonates' birth weight, incidence of hypoglycemia, and NICU admission were compared among the study and control groups. The intervention group received an individualized NBMP from their diagnosis of hyperglycemia until delivery. RESULTS: The results showed a significant difference in blood glucose between the study periods and groups at p<0.05 as per repeated ANOVA. Also, diet scores had a significant influence on BMI and glycemic control at p<0.05. Logistic regression models, adjusted for potential confounders including baseline blood glucose, age, economic status, previous GDM, family history of DM as well as baseline BMI, diet score, physical activity, and maternal well-being score, indicated that the NBMP reduced the blood glucose and BMI significantly at p<0.05 in the study group. NBMP also reduced the risk of SGA/LGA and preterm/post-mature birth, as well as increased the exercise duration and emotional well-being of mothers. CONCLUSIONS: The study's conclusions draw attention to the possible roles that maternal wellness, physical activity, and diet may have in reducing risks for both hyperglycemic mothers and their newborns. The NBMP resulted in higher adherence to lifestyle changes. Further research on a larger sample of hyperglycemic mothers is recommended to expand the generalizability of the findings.

Association of prepregnancy body mass index and gestational weight gain trajectory with adverse pregnancy outcomes-a prospective cohort study in Shanghai.

OBJECTIVES: The objective was to investigate the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) trajectories with adverse pregnancy outcomes (APOs). DESIGN: This was a prospective cohort study. SETTING: This study was conducted in Shanghai Pudong New Area Health Care Hospital for Women and Children, Shanghai, China. PRIMARY AND SECONDARY OUTCOME MEASURES: A cohort study involving a total of 2174 pregnant women was conducted. Each participant was followed to record weekly weight gain and pregnancy outcomes. The Institute of Medicine classification was used to categorise prepregnancy BMI, and four GWG trajectories were identified using a latent class growth model. RESULTS: The adjusted ORs for the risks of large for gestational age (LGA), macrosomia, gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) were significantly greater for women with prepregnancy overweight/obesity (OR=1.77, 2.13, 1.95 and 4.24; 95% CI 1.3 to 2.42, 1.32 to 3.46, 1.43 to 2.66 and 2.01 to 8.93, respectively) and lower for those who were underweight than for those with normal weight (excluding HDP) (OR=0.35, 0.27 and 0.59; 95% CI 0.22 to 0.53, 0.11 to 0.66 and 0.36 to 0.89, respectively). The risk of small for gestational age (SGA) and low birth weight (LBW) was significantly increased in the underweight group (OR=3.11, 2.20; 95% CI 1.63 to 5.92, 1.10 to 4.41; respectively) compared with the normal-weight group; however, the risk did not decrease in the overweight/obese group (p=0.942, 0.697, respectively). GWG was divided into four trajectories, accounting for 16.6%, 41.4%, 31.7% and 10.3% of the participants, respectively. After adjustment for confounding factors, the risk of LGA was 1.54 times greater for women in the slow GWG trajectory group than for those in the extremely slow GWG trajectory group (95% CI 1.07 to 2.21); the risk of SGA and LBW was 0.37 times and 0.46 times lower for women in the moderate GWG trajectory group and 0.14 times and 0.15 times lower for women in the rapid GWG trajectory group, respectively; the risk of macrosomia and LGA was 2.65 times and 2.70 times greater for women in the moderate GWG trajectory group and 3.53 times and 4.36 times greater for women in the rapid GWG trajectory group, respectively; and the women in the other three trajectory groups had a lower risk of GDM than did those in the extremely slow GWG trajectory group, but there was not much variation in the ORs. Notably, different GWG trajectories did not affect the risk of HDP. CONCLUSIONS: As independent risk factors, excessively high and low prepregnancy BMI and GWG can increase the risk of APOs.

Interactive effects and relative contribution of prepregnancy overweight and obesity, excessive gestational weight gain and gestational diabetes mellitus to macrosomia: A retrospective cohort in Fujian, China.

AIM: To conduct a retrospective cohort study to investigate the association between prepregnancy overweight and obesity, excessive gestational weight gain (GWG), gestational diabetes mellitus (GDM) and macrosomia, both individually and in combination. METHODS: Binary logistic regression was used to analyse the effects of overweight and obesity, excessive GWG and GDM on macrosomia, both separately and in combination. The interaction effects between prepregnancy overweight and obesity, excessive GWG and GDM were tested. The population attributable fraction (PAF) was calculated separately when interaction terms were significant. RESULTS: When analysed separately, prepregnancy overweight and obesity, excessive GWG and GDM increased the risk of macrosomia significantly. The pairwise interactions of each pair of risk factors or all three risk factors on macrosomia appear to be greater than any of them individually. Prepregnancy overweight and obesity contributed the least (5.69%) to macrosomia, while GDM contributed the most (8.5%). The PAF values for prepregnancy overweight and obesity/GDM, excessive GWG/GDM, and prepregnancy overweight and obesity/excessive GWG were 13.6%, 16.25% and 14.45%, respectively, and the total PAF for all three risk factors was 22.63%. CONCLUSIONS: Prepregnancy overweight and obesity, excessive GWG and GDM were associated with newborn macrosomia.

A retrospective cohort study on the influencing factors for macrosomia in singleton pregnancies.

To explore the influencing factors of singletons with macrosomia, and to develop interventions for the prevention of macrosomia. A retrospective cohort study was conducted on 26,379 pregnant women who established the Maternal and Child Health Record and gave birth from January 1, 2019 to December 31, 2019 in a community health service center in Haidian district, Beijing. The study analyzed factors such as maternal age, ethnicity, education level, prepregnancy body mass index (BMI), parity, folic acid supplementation, gestational diabetes mellitus, gestational hyper, hypothyroidism in pregnancy (including subhypothyroidism), hyperthyroidism in pregnancy, and infant gender. Univariate analysis was performed using the χ2 test, and multivariate analysis was performed using non-conditional multivariate logistic regression analysis. Out of 26,379 live births, 5.8% (1522/26,379) were macrosomia and 94.2% (24,857/26,379) were non-macrosomia. Univariate analysis revealed that maternal age, prepregnancy BMI, education level, parity, hypothyroidism during pregnancy, and infant gender were identified as influencing factors for macrosomia (P < .05). Multivariate analysis showed that maternal age ≥ 35 years, education level of high school or below, pre-pregnancy BMI, hypothyroidism, male infant, and parity were all influencing factors for macrosomia (P < .05). Prepregnancy overweight or obesity, male infants, multiparity, and low education level are risk factors for macrosomia. Multiple factors can contribute to macrosomia, and therefore, maternal health care should be strengthened, and early interventions should be taken for the above-mentioned factors in the local area.

The effect of gestational diabetes mellitus on pregnancy outcomes in advanced primiparous women: A retrospective study.

Gestational diabetes mellitus (GDM) could have a variable degree of adverse effects on pregnancy outcomes for both pregnant women and newborns. The purpose of the study was to explore the effect of GDM on pregnancy outcomes in advanced primiparous women. A total of 1076 advanced primiparous women were included between January 2020 and December 2022. All these women were divided into the GDM group (n = 434) and the non-GDM group (n = 642). Variables included baseline characteristics, maternal, and newborn outcomes were collected. The risk of each adverse outcome was analyzed by multivariate logistic regression models. The effect of blood glucose control on pregnancy outcomes was further analyzed among GDM women with good glycaemic control (n = 381) and poor glycaemic control (n = 53). Analysis of baseline characteristics demonstrated a significant difference in prepregnancy body mass index (median, IQR: 22.27 [20.58-24.44] vs 21.17 [19.53-22.86], P < .01) between the GDM group and the non-GDM group. A significantly higher incidence rate of adverse pregnancy outcomes was found in advanced primiparous women with GDM, such as polyhydramniosis, premature birth, low-birth weight, macrosomia, and neonatal intensive care unit admission (all P < .05). Compared with the non-GDM group, the risk of polyhydramniosis was nearly twice as high in the GDM group (adjusted odds ratio: 1.94, 95% confidence interval: 1.01-3.72, P = .04) after adjusted baseline characteristics. Among the GDM group, the women with poor glycaemic control showed a significantly higher incidence rate of polyhydramnios, hypertensive disorders of pregnancy, cesarean delivery, premature birth, low-birth weight, macrosomia, and neonatal intensive care unit admission was significant than the women with good glycaemic control (all P < .05). GDM was an independent risk factor for polyhydramnios in advanced primiparous women. At the same time, good glycaemic control in diabetics advanced primiparous women could reduce adverse pregnancy outcomes.

Identifying gestational diabetes mellitus and assessing risk factors in affected women: a comprehensive study.

OBJECTIVE: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication associated with adverse health outcomes for both mothers and offspring. This study aimed to identify risk factors for GDM, a condition with a rapidly increasing global prevalence. PATIENTS AND METHODS: We conducted a study involving 474 pregnant women who attended the obstetrics outpatient clinic of Kafkas University Faculty of Medicine Hospital between January 2022 and June 2023. Risk factors for GDM were assessed based on criteria recommended by the American Diabetes Association and the Committee on Practice of the American College of Obstetricians and Gynecologists. Statistical analyses, including descriptive statistics, Chi-square tests, Mann-Whitney U tests, and multivariate logistic regression. RESULTS: Individuals with GDM (mean age: 31.26±6.09 years) were significantly older than those without GDM (mean age: 28.36±4.89 years; p<0.001). Obesity prevalence was higher in the GDM group (32.5%) compared to the non-GDM group (14.3%; p<0.001). Individuals with GDM had higher rates of pre-diabetes (3.3% vs. 0.3%; p=0.007), a history of gestational diabetes (25.2% vs. 5.7%; p<0.001), high blood sugar in previous pregnancies (13.8% vs. 1.4%; p<0.001), and diabetes mellitus in 1st-degree relatives (40.7% vs. 20.3%; p<0.001). GDM was associated with increased pregnancies (p<0.001), preterm births (p<0.001), macrosomic babies (p=0.026), congenital anomalies (p=0.011), high cholesterol (p=0.036), and polyhydramnios (p=0.001) in previous pregnancies, as well as polyhydramnios in the index pregnancy (p=0.008). Regular exercise in previous pregnancies differed significantly based on GDM presence (p=0.037). CONCLUSIONS: Recognizing modifiable risk factors is crucial for preventing GDM and reducing associated health risks. Healthcare providers should be vigilant, especially among those with a family history of GDM, previous GDM, advanced maternal age, and other risk factors. Early lifestyle interventions show promise. Further research is needed for accurate GDM prediction.

Relationship between serum NLRP3 along with its effector molecules and pregnancy outcomes in women with hyperglycemia.

OBJECTIVE: The study aims to investigate the levels of serum NLRP3 along with its effector molecules (Caspase-1, IL-1ß, and IL-18) in the mid-pregnancy in pregnant women with hyperglycemia, and explore the relationship between NLRP3, along with its effector molecules (Caspase-1, IL-1ß, and IL-18) and insulin resistance, as well as pregnancy outcomes. METHODS: The levels of serum NLRP3 along with its effector molecules (Caspase-1, IL-1ß, and IL-18) in three groups of pregnant women with gestational diabetes mellitus (GDM), pregestational diabetes mellitus (PGDM) and normal glucose tolerance (NGT) were measured in mid-pregnancy, and their relationship with insulin resistance and pregnancy outcomes was analyzed. The ROC curve was also used to evaluate the predictive value of serum NLRP3 inflammasome and its effector molecules for pregnancy outcomes. RESULTS: There were no statistical differences in the general clinical data of the three groups, and the concentrations of serum NLRP3 along with its effector molecules were higher in the GDM and PGDM groups than in the NGT group, and NLRP3 along with its effector molecules were positively correlated with fasting blood glucose, fasting insulin, and insulin resistance index in both groups (r > 0, p < .05). The incidence of preterm delivery, hypertensive disorders of pregnancy, premature rupture of membranes, neonatal hypoglycemia and macrosomia was significantly higher in both groups than in the NGT group (p < .05). The value of the combined serum NLRP3 and its effector molecules in mid-pregnancy to predict adverse pregnancy outcomes was highest, and the AUCs for the combined prediction of late hypertensive disorders of pregnancy, premature rupture of membranes, preterm delivery, neonatal hypoglycemia and macrosomia were 0.84 (95% CI 0.79-0.88, p < .001), 0.81 (95% CI 0.75-0.85, p < .001), 0.76 (95% CI 0.70-0.81, p < .001), 0.76 (95% CI 0.70-0.81, p < .001) and 0.72 (95% CI 0.63-0.81, p < .001), respectively. CONCLUSIONS: Increased serum NLRP3 along with its effector molecules in pregnant women with hyperglycemia are associated with the levels of insulin resistance and the subsequent development of adverse pregnancy outcomes.

Neonatal Birthweight Spectrum: Maternal Risk Factors and Pregnancy Outcomes in Saudi Arabia.

Background and Objectives: Low-birth-weight (LBW) neonates are at increased risk of morbidity and mortality which are inversely proportional to birth weight, while macrosomic babies are at risk of birth injuries and other related complications. Many maternal risk factors were associated with the extremes of birthweight. The objectives of this study are to investigate maternal risk factors for low and high birthweight and to report on the neonatal complications associated with abnormal birth weights. Materials and Methods: We conducted a retrospective analysis of medical records of deliveries ≥ 23 weeks. We classified the included participants according to birth weight into normal birth weight (NBW), LBW, very LBW (VLBW), and macrosomia. The following maternal risk factors were included, mother's age, parity, maternal body mass index (BMI), maternal diabetes, and hypertension. The neonatal outcomes were APGAR scores < 7, admission to neonatal intensive care unit (NICU), respiratory distress (RD), and hyperbilirubinemia. Data were analyzed using SAS Studio, multivariable logistic regression analyses were used to investigate the independent effect of maternal risk factors on birthweight categories and results were reported as an adjusted odds ratio (aOR) and 95% Confidence Interval (CI). Results: A total of 1855 were included in the study. There were 1638 neonates (88.3%) with NBW, 153 (8.2%) with LBW, 27 (1.5%) with VLBW, and 37 (2.0%) with macrosomia. LBW was associated with maternal hypertension (aOR = 3.5, 95% CI = 1.62-7.63), while increasing gestational age was less likely associated with LBW (aOR = 0.51, 95% CI = 0.46-0.57). Macrosomia was associated with maternal diabetes (aOR = 3.75, 95% CI = 1.67-8.41), in addition to maternal obesity (aOR = 3.18, 95% CI = 1.24-8.14). The odds of VLBW were reduced significantly with increasing gestational age (aOR = 0.41, 95% CI = 0.32-0.53). In total, 81.5% of VLBW neonates were admitted to the NICU, compared to 47.7% of LBW and 21.6% of those with macrosomia. RD was diagnosed in 59.3% of VLBW neonates, in 23% of LBW, in 2.7% of macrosomic and in 3% of normal-weight neonates. Hyperbilirubinemia was reported in 37.04%, 34.21%, 22.26%, and 18.92% of VLBW, LBW, NBW, and macrosomic newborns, respectively. Conclusions: Most neonates in this study had normal birthweights. Maternal hypertension and lower gestational age were associated with increased risk of LBW. Additionally, maternal obesity and diabetes increased the risk of macrosomia. Neonatal complications were predominantly concentrated in the LBW and VLBW, with a rising gradient as birthweight decreased. The main complications included respiratory distress and NICU admissions.

Association between prepregnancy body mass index or gestational weight gain and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus: a systematic review and meta-analysis.

OBJECTIVE: The association between prepregnancy body mass index (BMI) or gestational weight gain (GWG) and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus (GDM) is unknown. This study aims to evaluate such association by synthesising the evidence. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, Web of Science, Scopus, EMBASE, China Biology Medicine disc, China National Knowledge Infrastructure, Wangfang, and China Science and Technology Journal Database searched from inception to 11 August 2023. ELIGIBILITY CRITERIA: Prospective cohort studies, retrospective cohort studies and case-control studies estimating the relationship of abnormal prepregnancy BMI (including underweight, overweight or obesity) or inappropriate GWG (including excess GWG or insufficient GWG) with adverse pregnancy outcomes of interest were included. Outcomes included macrosomia, caesarean section, preterm birth, gestational hypertension, large for gestational age (LGA) and small for gestational age (SGA). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently selected studies, extracted the data and assessed the risk of bias. OR estimate and its 95% CI were pooled using Stata software fixed-effect model. Subgroup analysis, meta-regression and sensitivity analysis were performed to ensure credibility of the results. RESULTS: Twenty-three studies (eighteen retrospective cohort studies, three prospective cohort studies and two case control studies) involving 57 013 Chinese women with GDM were identified. Meta-analysis results showed that compared with GDM women with normal weight, GDM women with underweight were at a higher risk of SGA (OR=1.79 (1.54 to 2.07), five studies involving 31 967 women); women with overweight had higher risks of macrosomia (OR=1.65 (1.49 to 1.82), eleven studies involving 41 683 women), caesarean section (OR=1.48 (1.38 to 1.59), ten studies involving 34 935 women), preterm birth (OR=1.27 (1.13 to 1.43), eight studies involving 38 295 women) and LGA (OR=1.73 (1.54 to 1.95), seven studies involving 31 342 women) and women with obesity had higher risks of macrosomia (OR=2.37 (2.04 to 2.76), eleven studies involving 41 683 women), caesarean section (OR=2.07 (1.84 to 2.32), nine studies involving 34 829 women), preterm birth (OR=1.31 (1.09 to 1.57), eight studies involving 38 295 women) and LGA (OR=2.63 (2.15 to 3.21), six studies involving 31 236 women). Regard to GWG, compared with Chinese GDM women with sufficient GWG, GDM women with excessive GWG had higher risks of macrosomia (OR=1.74 (1.58 to 1.92), twelve studies involving 40 966 women), caesarean section (OR=1.44 (1.36 to 1.53), nine studies involving 36 205 women) and LGA (OR=2.12 (1.96 to 2.29), twelve studies involving 42 342 women); women with insufficient GWG conversely had higher risks of preterm birth (OR=1.59 (1.45 to 1.74), nine studies involving 37 461 women) and SGA (OR=1.38 (1.27 to 1.51), ten studies involving 41 080 women). CONCLUSIONS: For Chinese women with GDM, abnormal prepregnancy BMI or inappropriate GWG were related to higher risks of many adverse pregnancy outcomes. Therefore, medical staff should pay more attention to the weight management of GDM women during pregnancy.

Risk of adverse pregnancy outcomes in pregnant women with gestational diabetes mellitus by age: a multicentric cohort study in Hebei, China.

Gestational diabetes mellitus (GDM) is an unique metabolic disorder that occurs during pregnancy. Both GDM and advanced age increase the risk of adverse pregnancy outcomes. This study used a GDM cohort study to investigate the role of age in the adverse pregnancy outcomes for pregnant women with GDM. From 2015 to 2021, 308,175 pregnant women were selected, and the data received from 22 hospitals by the Hebei Province Maternal Near Miss Surveillance System. There were 24,551 pregnant women with GDM that were divided into five groups by age (20-24, 25-29, 30-34, 35-39, 40-44 years old). Because the prevalence of adverse pregnancy outcomes was lower in pregnant women with GDM aged 25-29, they were used as a reference group (P < 0.05). Compared with GDM women aged 25-29 years, GDM women aged 35-44 years had a significant higher risk of cesarean delivery (aOR: 2.86, 95% CI 2.52-3.25) (P < 0.001), abnormal fetal position (aOR: 1.78, 95% CI 1.31-2.37) (P < 0.001), pre-eclampsia (aOR: 1.28, 95% CI 1.01-1.61) (P < 0.05), macrosomia (aOR: 1.25, 95% CI 1.08-1.45) (P < 0.05), and large for gestational age (LGA) (aOR: 1.16, 95% CI 1.02-1.31) (P < 0.05), GDM women aged 40-44 years had a higher risk of placenta previa (aOR: 2.53, 95% CI 1.01-6.35) (P < 0.05), anemia (aOR: 3.45, 95% CI 1.23-9.68) (P < 0.05) and small for gestational age (aOR: 1.32, 95% CI 1.01-1.60) (P < 0.05). Advanced maternal age was an independent risk factor for abnormal fetal position, pre-eclampsia, anemia, macrosomia, and LGA in pregnant women with GDM.

Association between foetal sex and adverse neonatal outcomes in women with gestational diabetes.

AIMS: Foetal male sex is associated with adverse perinatal outcomes. However, studies evaluating the impact of foetal sex on perinatal outcomes in women with gestational diabetes (GDM) are scarce. We studied whether male new-born sex is associated with neonatal outcomes, in women with GDM. METHODS: This is a retrospective study based on the national Portuguese register of GDM. All women with live-born singleton pregnancies between 2012 and 2017 were eligible for study inclusion. Primary endpoints under analysis were neonatal hypoglycaemia, neonatal macrosomia, respiratory distress syndrome (RDS) and neonatal intensive care unit (NICU) admission. We excluded women with missing data on the primary endpoint. Pregnancy data and neonatal outcomes between female and male new-borns were compared. Multivariate logistic regression models were built. RESULTS: We studied 10,768 new-borns in mothers with GDM, 5635 (52.3%) male, 438 (4.1%) had neonatal hypoglycaemia, 406 (3.8%) were macrosomic, 671 (6.2%) had RDS, and 671 (6.2%) needed NICU admission. Male new-borns were more frequently small or large for gestational age. No differences were observed on maternal age, body mass index, glycated haemoglobin, anti-hyperglycaemic treatment, pregnancy complications or gestational age at delivery. In the multivariate regression analysis, male sex was independently associated with neonatal hypoglycaemia [OR 1.26 (IC 95%: 1.04-1.54), p = 0.02], neonatal macrosomia [1.94 (1.56-2.41), p < 0.001], NICU admission [1.29 (1.07-1.56), p = 0.009], and RDS [1.35 (1.05-1.73, p = 0.02]. CONCLUSIONS: Male new-borns have an independent 26% higher risk of neonatal hypoglycaemia, 29% higher risk of NICU admission, 35% higher risk of RDS, and almost twofold higher risk of macrosomia, compared to female new-borns.

Same disease - different effect: maternal diabetes impact on birth weight stratified by fetal sex.

BACKGROUND: Male-sex is an independent risk factor for adverse perinatal outcomes. One example is gestational diabetes mellitus (GDM), which is associated with large gestational age neonates. It was previously described that fetal glucose metabolism is affected by fetal sex. PURPOSE: To examine whether the birth weight of neonates is affected differently by GDM according to fetal sex. METHODS: A retrospective normalized cohort analysis, using the open database of 2017 Natality Data from the National Vital Statistics System in the US. We compared the delta in neonatal birth weight, according to fetal sex, between pregnancies with or without GDM. Linear regression was used to take into consideration the effect of multiple confounders. For evaluation whether fetal sex is an independent risk factor for macrosomia (> 4000 and > 4500 g) following pregnancies complicated by GDM we used multivariate logistic regression. RESULTS: A significant relationship was found between the sex of the neonate and the delta in birth weight associated with GDM (P-value < 0.0001). The average weight gain in neonates to GDM pregnancies was 71 g in females, and 56 g in males. The prevalence of macrosomia above 4000 g and 4500 g that was attributed to GDM was higher in female-sex neonates compared to male-sex neonates (P < 0.05). CONCLUSION: According to our study results, female sex is associated with higher fetal weight gain in pregnancies complicated by GDM. Moreover, macrosomia's rate (> 4000 g and > 4500 g) attributed to GDM raised in a more significant manner in female-sex neonates.

Fetal Overgrowth and Preterm Delivery in Women With Type 1 Diabetes Using Insulin Pumps or Multiple Daily Injections: A Post Hoc Analysis of the EVOLVE Study Cohort.

OBJECTIVE: To compare the risk of fetal overgrowth and preterm delivery in pregnant women with type 1 diabetes (T1D) treated with insulin pumps versus multiple daily injections (MDI) and examine whether possible differences were mediated through improved glycemic control or gestational weight gain during pregnancy. RESEARCH DESIGN AND METHODS: The risk of pregnancy and perinatal outcomes were evaluated in a cohort of 2,003 pregnant women with T1D enrolled from 17 countries in a real-world setting during 2013-2018. RESULTS: In total, 723 women were treated with pumps and 1,280 with MDI. At inclusion (median gestational weeks 8.6 [interquartile range 7-10]), pump users had lower mean HbA1c (mean ± SD 50.6 ± 9.8 mmol/mol [6.8 ± 0.9%] vs. 53.6 ± 13.8 mmol/mol [7.1 ± 1.3%], P < 0.001), longer diabetes duration (18.4 ± 7.8 vs. 14.4 ± 8.2 years, P < 0.001), and higher prevalence of retinopathy (35.3% vs. 24.4%, P < 0.001). Proportions of large for gestational age (LGA) offspring and preterm delivery were 59.0% vs. 52.2% (adjusted odds ratio [OR] 1.36 [95% CI 1.09; 1.70], P = 0.007) and 39.6% vs. 32.1% (adjusted OR 1.46 (95% CI 1.17; 1.82), P < 0.001), respectively. The results did not change after adjustment for HbA1c or gestational weight gain. CONCLUSIONS: Insulin pump treatment in pregnant women with T1D, prior to the widespread use of continuous glucose monitoring or automated insulin delivery, was associated with a higher risk of LGA offspring and preterm delivery compared with MDI in crude and adjusted analyses. This association did not appear to be mediated by differences in glycemic control as represented by HbA1c or by gestational weight gain.

Interaction and joint association of gestational diabetes mellitus and subsequent weight gain rate on macrosomia.

BACKGROUND & AIMS: Gestational diabetes mellitus (GDM) and gestational weight gain are two crucial modifiable nutritional factors during pregnancy in preventing macrosomia, warranting appropriate management of both glycemic levels and weight gain to prevent macrosomia, particularly in individuals with GDM. Unfortunately, current general weight targets appear not to apply to individuals with GDM, suggesting that weight gain, specifically following an oral glucose tolerance test (OGTT), may affect risk of macrosomia dependent on GDM status. Therefore, this study aims to evaluate the interaction and joint association of GDM and post-OGTT weight gain rate (PWGR) in relation to macrosomia. METHODS: This was a population-based cohort study of 59,421singleton pregnant women in South China during 2017-2020. Among them, 9856 were diagnosed with GDM while 49,565 did not have the condition. All participants underwent an OGTT between 20 and 28 weeks of pregnancy, typically occurring between 24 and 28 weeks. PWGR was defined as the average rate of change in maternal weight with gestational weeks following OGTT, which was estimated using a repeated linear mixed effects model including a random intercept and slope for each individual. The relative risk (RR) of macrosomia associated with GDM and PWGR was estimated using a multivariate generalized linear model. RESULTS: There was a significant interaction between GDM and PWGR in increasing the risk of macrosomia. The combination of GDM and a 1-SD increase in PWGR was associated with a 2.26-fold higher risk of macrosomia (95% CI 1.92 to 2.65), with the interaction of these two factors contributing to 58.0% (95% CI 31.4%-84.7%) of this association. Moreover, we observed a significant heterogeneity in susceptibility to macrosomia due to increased PWGR between GDM and non-GDM populations, with the highest PWGR quartile having respective RRs of 2.27 (95% CI 1.62 to 3.18) and 1.41 (95% CI 1.18 to 1.69) compared to the lowest quartile category, which was corresponded to 55.9% (95% CI 38.3%-68.6%) and 29.1% (95% CI 15.3%-40.8%) preventable proportions of macrosomia cases in these populations. CONCLUSIONS: GDM and PWGR had a synergistic effect in increasing the risk of macrosomia. Furthermore, individuals with GDM exhibited a heightened susceptibility to macrosomia due to elevated PWGR. These findings emphasize the importance of appropriate weight interventions during late pregnancy and suggest the need for different weight targets between these two populations, with a stricter PWGR potentially being more effective for the GDM population.

Associations of early pregnancy serum uric acid levels with risk of gestational diabetes and birth outcomes: a retrospective cohort study.

BACKGROUND: Previous evidence suggests that higher blood uric acid (UA) levels are associated with adverse cardiovascular outcomes during pregnancy and subsequent birth outcomes. However, it has been relatively unclear whether these associations persist in normotensive pregnant women. METHODS: The study was based on a retrospective analysis of 18,250 mother-infant pairs in a large obstetric center in China. Serum UA concentrations in early pregnancy (median: 17.6, IQR: 16.3, 18.6 gestational weeks) were assessed. Hyperuricemia was defined as ≥ one standard deviation (SD) of the reference value for the corresponding gestational age. Outcomes of gestational diabetes mellitus (GDM), preterm birth (PB), low birth weight (LBW), macrosomia, small for gestational age (SGA) and large for gestational age (LGA) were extracted from the medical records. RESULTS: The mean maternal UA level was 0.22 ± 0.05 mmol/L, and 2,896 (15.9%) subjects had hyperuricemia. After adjustment for several covariates, UA was associated with several adverse outcomes. The ORs (95%CI) per one SD increase in serum UA concentration were 1.250 (1.136, 1.277) for GDM, 1.137 (1.060, 1.221) for PB, 1.134 (1.051, 1.223) for LBW, and 1.077 (1.020, 1.137) for SGA, respectively. Similar adverse associations were found between hyperuricemia and GDM, PB (ORs: 1.394 and 1.385, P < 0.001), but not for LBW, macrosomia, SGA, and LGA. Adverse associations tended to be more pronounced in subjects with higher BMI for outcomes including PB, LBW, and SGA (P interaction = 0.001-0.028). CONCLUSION: Higher UA levels in early pregnancy were associated with higher risk of GDM, PB, LBW, and SGA in normotensive Chinese women.

[The trend of birth weight of full-term newborns and its association with parental reproductive age in Chongqing municipality from 2010 to 2022].

To analyze the trend of abnormal birth weight of full-term newborns and its correlation with parental reproductive age in Chongqing municipality from 2010 to 2022. Based on the Chongqing Birth Certificate System, full-term newborns born from January 2010 to December 2022 were selected. Parental information and birth weight were abstracted from the system. The joinpoint regression model was used to assess the trend of incidence of low birth weight (LBW) and macrosomia in the offspring from 2010 to 2022. The logistic regression model was utilized to analyze the association between parental reproduction age and birth weight of newborns. The average birth weight of 3 155 542 newborns was (3 305.8±410.5) g. The joinpoint regression model showed a decreasing trend for the incidence of LBW from 2010 to 2016 (APC=-4.26%, P<0.05), and an increasing trend from 2020 to 2022 (APC=8.99%, P<0.05). The incidence of macrosomia exhibited a decreasing trend from 2015 to 2022 (APC=-3.37%, P<0.05). The logistic regression model showed that, compared to the group with parents aged 20-34 years, the risk of LBW increased in other age groups. The risk of macrosomia decreased when either parent was aged<20 years, and increased when both parents were aged≥20 years. In conclusion, from 2010 to 2022, the incidence of LBW in full-term offspring in Chongqing municipality decreased first and then increased, and the incidence of macrosomia increased first and then decreased. Both young and advanced parental age were associated with an increased risk of LBW in offspring, and advanced parental age was also associated with an increased risk of macrosomia in offspring. Attention should be paid to the effects of advanced maternal and paternal age on offspring birth weight. Further efforts to control childbearing at a young age were needed.

Metabolomics profiling of maternal and umbilical cord blood in normoglycemia macrosomia.

Background: Macrosomia is a common disorder that occurs during pregnancy. We investigated the comprehensive metabolite profiles of pregnant maternal and fetal sera in normoglycemic macrosomia in a Chinese population. Methods: Forty pregnant women and their fetuses were included in the study (twenty macrosomia patients and twenty normal-weight controls). Maternal and umbilical cord serum metabolites were identified using ultra-performance liquid chromatography coupled with tandem mass spectrometry. Results: In total, 203 metabolites were identified. Lipids and lipid-like molecules were the predominant metabolites. Fifty-three metabolites with significant differences were obtained in the maternal samples. In the macrosomia group, the levels of docosahexaenoic acid, eicosapentaenoic acid, and arachidonic acid were significantly higher than those in the control group. Umbilical cord serum samples were obtained for 24 different metabolites. The maternal-fetal gradient of polyunsaturated fatty acids was decreased in the macrosomia group. Aconitic acid, citric acid, isocitric acid, 2-methylhexanoic acid, and 12-hydroxystearic acid were the common differential metabolites in the maternal and umbilical cord serum samples. Conclusion: There were obvious metabolic abnormalities in the sera of pregnant women and fetuses with macrosomia. Lipids and lipid-like molecules were the predominant differential metabolites but had different classifications in the maternal and umbilical cord serum. These results may provide new insights into the long-term metabolic disorders associated with macrosomia.

Association between gestational weight gain and adverse neonatal outcomes in women conceiving with assisted reproductive technology: Evidence from the NVSS 2019-2021.

OBJECTIVE: To evaluate the association between gestational weight gain (GWG) and adverse neonatal outcomes in women who conceived using assisted reproductive technology (ART). METHODS: The National Vital Statistics System (NVSS) 2019-2021 provided data for this retrospective cohort study. Adverse neonatal outcomes included premature birth, small for gestational age (SGA), large for gestational age (LGA), macrosomia, low birth weight (LBW), and other abnormal conditions. Any adverse outcome was defined as at least one of the above six outcomes. Multivariate logistic regression analysis was employed to evaluate the associations between GWG and different outcomes, after adjusting for confounding factors. These associations were further assessed in subgroups of maternal age at delivery, paternal age at delivery, preconception body mass index (BMI), gestational age, maternal race, parity, gestational diabetes, and gestational hypertension. RESULTS: Totally 108201 women were included, with 22282 in the insufficient GWG group, 38034 in the sufficient GWG group, and 47885 in the excessive GWG group. Women with insufficient GWG [odds ratios (OR) = 1.11, 95%CI: 1.07-1.16, P<0.001] and excessive GWG (OR = 1.14, 95%CI: 1.10-1.18, P<0.001) had significantly greater risks of any adverse outcome than those with sufficient GWG. In contrast to sufficient GWG, insufficient GWG was associated with significantly elevated risks of premature birth (OR = 1.42, 95%CI: 1.35-1.48, P<0.001), SGA (OR = 1.45, 95%CI: 1.37-1.53, P<0.001), LBW (OR = 1.47, 95%CI: 1.37-1.58, P<0.001), and other abnormal conditions (OR = 1.32, 95%CI: 1.27-1.39, P<0.001), and excessive GWG was associated with significantly lower risks of premature birth (OR = 0.86, 95%CI: 0.83-0.90, P<0.001), SGA (OR = 0.79, 95%CI: 0.75-0.83, P<0.001), LBW (OR = 0.85, 95%CI: 0.79-0.91, P<0.001), and other abnormal conditions (OR = 0.92, 95%CI: 0.88-0.96, P<0.001). Infants born to women with insufficient GWG had significantly decreased risks of LGA (OR = 0.71, 95%CI: 0.66-0.75, P<0.001) and macrosomia (OR = 0.68, 95%CI: 0.63-0.74, P<0.001), and infants born to women with excessive GWG had significantly increased risks of LGA (OR = 1.50, 95%CI: 1.44-1.56, P<0.001) and macrosomia (OR = 1.60, 95%CI: 1.51-1.69, P<0.001). CONCLUSION: Insufficient GWG and excessive GWG were associated with increased risks of any adverse outcome than sufficient GWG in women who conceived with ART, indicating the applicability of recommended GWG by the Institute of Medicine (IOM) in this population.

Obstetric Intervention and Perinatal Outcomes During the Coronavirus Disease 2019 (COVID-19) Pandemic.

OBJECTIVE: To quantify pandemic-related changes in obstetric intervention and perinatal outcomes in the United States. METHODS: We carried out a retrospective study of all live births and fetal deaths in the United States, 2015-2021, with data obtained from the natality, fetal death, and linked live birth-infant death files of the National Center for Health Statistics. Analyses were carried out among all singletons; singletons of patients with prepregnancy diabetes, prepregnancy hypertension, and hypertensive disorders of pregnancy; and twins. Outcomes of interest included preterm birth, preterm labor induction or preterm cesarean delivery, macrosomia, postterm birth, and perinatal death. Interrupted time series analyses were used to estimate changes in the prepandemic period (January 2015-February 2020), at pandemic onset (March 2020), and in the pandemic period (March 2020-December 2021). RESULTS: The study population included 26,604,392 live births and 155,214 stillbirths. The prepandemic period was characterized by temporal increases in preterm birth and preterm labor induction or cesarean delivery rates and temporal reductions in macrosomia, postterm birth, and perinatal mortality. Pandemic onset was associated with absolute decreases in preterm birth (decrease of 0.322/100 live births, 95% CI 0.506-0.139) and preterm labor induction or cesarean delivery (decrease of 0.190/100 live births, 95% CI 0.334-0.047) and absolute increases in macrosomia (increase of 0.046/100 live births), postterm birth (increase of 0.015/100 live births), and perinatal death (increase of 0.501/1,000 total births, 95% CI 0.220-0.783). These changes were larger in subpopulations at high risk (eg, among singletons of patients with prepregnancy diabetes). Among singletons of patients with prepregnancy diabetes, pandemic onset was associated with a decrease in preterm birth (decrease of 1.634/100 live births) and preterm labor induction or cesarean delivery (decrease of 1.521/100 live births) and increases in macrosomia (increase of 0.328/100 live births) and perinatal death (increase of 9.840/1,000 total births, 95% CI 3.933-15.75). Most changes were reversed in the months after pandemic onset. CONCLUSION: The onset of the coronavirus disease 2019 (COVID-19) pandemic was associated with a transient decrease in obstetric intervention (especially preterm labor induction or cesarean delivery) and a transient increase in perinatal mortality.