Neonatal Anthropometric Research Articles

Associations of maternal urinary nitrophenol concentrations with adverse birth outcomes and neurodevelopment delay at 4 years of age: The Japan environment and children's study

Maternal urinary nitrophenol concentrations are reportedly associated with preterm birth and foetal/offspring development delay, but the evidence is still inconclusive. We investigated the association between maternal urinary concentrations of 4-nitrophenol (4NP) and 3-methyl-4-nitrophenol (3M4NP) and adverse birth outcomes, as well as offspring neurodevelopment delay, defined using the Ages and Stages Questionnaires at 4 years of age, stratified by offspring sex. A total of 3650 non-hypertensive mothers with singleton births were enrolled from the Japan Environment and Children's Study. High 4NP (≥0.41 μg/L) and 3M4NP (≥0.29 μg/L) were defined as ≥ lowest concentration minimum reporting level. Four groups were created using these dichotomized 4NP and 3M4NP concentrations: ‘both low’, ‘either high/low’, and ‘both high’. Multivariable logistic regression models were used to estimate the adjusted odds ratios (aOR) and population attributable fraction (PAF). For 4NP and 3M4NP, 68.4% and 19.0% of participants had ’high’ urinary concentrations, respectively. Compared to ‘both low’, the overall analysis showed no significant associations between ‘both high’ and any of the outcomes. However, the stratified analysis showed that the aOR (95% confidence interval [CI]) and PAF (95% CI) for ‘both high’ regarding preterm birth (<37 weeks' gestation) were 2.7 (1.3, 5.7) and 16.3% (2.5%, 28.1%), respectively, in male offspring. Among female offspring, the aOR and PAF for the ‘both high’ regarding small-for-gestational-age (SGA)—defined as weight-for-gestational age <10 percentile based on the Japanese neonatal anthropometric charts—were 1.7 (1.0, 2.8) and 10.6% (−0.2%, 20.2%), respectively. Urinary 4NP and 3M4NP concentrations showed no association with low birth weight (<2500 g) and neurodevelopment delay.In conclusion, offspring sex-specific associations of maternal urinary nitrophenols with preterm birth and SGA were observed. Even slight elevations in their levels may explain a certain proportion of preterm birth and SGA. The exposure source, expressed by urinary nitrophenols, should be identified.

Predicting Neonatal Hypoglycemia Using AI Neural Networks in Infants from Mothers with Gestational Diabetes Mellitus.

BACKGROUND This study aimed to develop a predictive model for the association between maternal and neonatal anthropometric data and neonatal hypoglycemia based on data from mothers with gestational diabetes mellitus (GDM) and their neonates. MATERIAL AND METHODS We included 106 pregnant women with GDM (based on the World Health Organization International Association of Diabetes and Pregnancy Study Groups) and their neonates. Neonatal hypoglycemia was defined as a threshold of 2.5 mmol/L. Neonatal blood glucose levels were performed at 0, 0.5, 1, 3, and 24 h after birth. An artificial neural network (ANN) and recurrent neural network (RNN) were developed to predict the neonate blood concentrations and investigate the relative contribution of maternal and neonate clinical variables to neonatal hypoglycemia. RESULTS Of 106 mothers with GDM, 85% had obesity, and 78% had vaginal deliveries, with neonates averaging a birth weight of 3335.83 g. The ANN model, based on the clinical data from mothers and neonates, predicted blood glucose levels with a high degree of accuracy, achieving a coefficient of determination of 0.869 and a root mean square error (RMSE) of 0.274. Neonatal birth weight and maternal body mass index were the 2 most significant factors in predicting neonatal hypoglycemia, contributing 18.6% and 15.9%, respectively. The RNN model similarly forecasted glucose levels effectively, addressing the dynamic changes in blood glucose with 0.63 mmol/L RMSE and 0.53 mmol/L mean absolute error. CONCLUSIONS ANN and RNN models effectively predict neonatal hypoglycemia in infants of mothers with GDM, highlighting the critical role of maternal and neonatal factors.

Relationship between paternal excessive weight and neonatal anthropometry in a clinical trial of nutritional counseling for pregnant women with overweight.

Human studies suggest that fathers with obesity influence infant growth and development. This study aimed to evaluate the relationship between paternal body mass index (BMI) and waist circumference (WC) with neonatal anthropometry and adiposity. This study is a cohort nested in a randomized controlled clinical trial of nutritional counseling for pregnant women with overweight. In total, 89 partner-pregnant woman-neonate triads were included. Paternal anthropometric measurements were taken at the time of the interview. Secondary data related to birth were obtained through access to the health information systems. Neonatal skinfold thickness was assessed and the adiposity was estimated using a predictive anthropometric model. Pearson's correlation and adjusted multivariate linear regression models were employed to evaluate the relationship between paternal BMI and WC with neonatal anthropometric measurements and adiposity. In total, 57.0% of the fathers presented a BMI ≥ 25 kg/m² and 14.6% a waist circumference ≥102 cm. The mean ± SD birth weight of the newborns (g) was 3357 ± 538. Paternal BMI and WC were inversely correlated with head circumference at birth [r = -0.31 (p = 0.004), r = -0.23 (p = 0.03), respectively]. Paternal BMI was also inversely correlated with the birth weight standardized by gestational age (z-score) [r = -0.23 (p = 0.03)]. In adjusted multivariate linear regression models, the paternal BMI (kg/m²) was inversely associated with the head circumference at birth (cm) [β = -0.07 (95% CI -0.15; -0.001) p = 0.04]. The data suggest that paternal excessive weight have a negative effect on fetal development, as assessed by anthropometric measurements. The inverse association between paternal BMI and the head circumference at birth was independent of confounders. Future studies with larger sample sizes are necessary to confirm or refute such hypotheses.

Neonatal Anthropometric Measurements: A Comparison of Neonates With 3-T Fetal MRI Exposure, With 1.5-T Fetal MRI Exposure, and Without In-Utero MRI Exposure.

Background: Fetal MRI is increasingly performed at 3 T. Nonetheless, safety concerns persist regarding potential increased risk of intrauterine growth restriction from in-utero 3-T MRI exposure. Objective: To compare neonatal anthropometric measurements between newborns who underwent 3-T fetal MRI, newborns who underwent 1.5-T fetal MRI, and newborns without in utero MRI exposure. Methods: This single-center retrospective study included gravid patients who underwent fetal ultrasound and possible 1.5-T or 3-T fetal MRI within 10 days from January 2017 to January 2022. For each included patient who also underwent 3-T fetal MRI, one matched patient who also underwent 1.5-T MRI and two matched patients without in-utero MRI exposure, were randomly selected. Matching was based on gestational age per the fetal ultrasound. Neonatal anthropometric characteristics were compared among groups. Results: The final sample included 416 patients (mean age, 32±5 years), 104 in the 3-T MRI group, 104 in the 1.5-T MRI group, and 208 in the MRI-unexposed group. Mean gestational age at the time of fetal ultrasound used for matching was 27 weeks 2 days in the 3-T group, 25 weeks 2 days in the 1.5-T group, and 26 weeks 0 days in the MRI-unexposed group (p=.07). The distribution of indications for fetal MRI was not significantly different between the 3-T and 1.5-T groups (p=.62). Mean gestational age at delivery was 37 weeks 5 days in the 3-T group, 38 weeks 0 day in the 1.5-T group, and 38 weeks 2 days in the unexposed group (p=.51). No significant difference (p=.09) was observed among groups in mean neonatal weight (3-T: 3120±753 g; 1.5-T: 3104±704 g; unexposed: 2967±614 g); neonatal weight percentile (3-T: 45±27; 1.5-T: 42±26; MRI: 41±24); neonatal head circumference (3-T: 34±3 cm; 1.5-T: 34±3 cm; unexposed: 34±2 cm), or neonatal head circumference percentile (3-T: 48±29; 1.5-T: 42±23; unexposed: 43±30). Conclusion: There were no significant differences in neonatal anthropometric measurements among newborns who underwent in-utero 3-T MRI, newborns who underwent in-utero 1.5-T MRI, and newborns without in-utero MRI exposure. Clinical Impact: The results support the safety of 3-T MRI with respect to growth of the developing fetus.

Ultrasonographic Assessment of the Thymus Among Neonates Admitted in a Special Newborn Care Unit of a Medical College Hospital in Eastern India.

The thymus is essential for the maturation of T-lymphocytes, crucial for adaptive immunity. In neonates, thymic development is influenced by factors such as gestational age, birth weight, birth length, etc. Ultrasonography offers a non-invasive method to assess thymic size and morphology. However, there is limited research on thymic ultrasonography among neonates in Eastern India. This study aimed to investigate the ultra-sonographic characteristics of the thymus in neonates admitted to a Special Neonatal Care Unit (SNCU) in Eastern India and its correlation with certain clinical and anthropometric variables. Conducted from May to July 2024, this cross-sectional observational study involved 80 neonates admitted to the SNCU at the College of Medicine & Sagore Dutta Hospital. Thymic ultrasonography, using an Esaote MylabX7 ultrasound machine with a 3-11 MHz linear probe (Esaote, Genoa, Italy), measured thymic length, width, anteroposterior (AP) dimension, sagittal area, and thymic index. Clinical data, including gestational age, birth weight, birth length, and antibiotics received, were collected from medical records. Pearson's correlation coefficient and linear regression analysis were used to examine correlations and predictors of thymic dimensions. The cohort consisted of 45 boys (56%) and 35 girls (44%). The average birth weight was 2,626 grams for boys and 2,639 grams for girls. The median gestation period was 38 weeksfor both groups. Thymic measurements did not significantly differ by gender. Correlation analysis revealed significant relationships between thymic dimensions and neonatal anthropometric measurements. Birth weight showed a strong positive correlation with thymic length (r = 0.486) and width (r = 0.233). Linear regression identified birth weight as a significant predictor of the thymic index (p < 0.001), explaining 21.2% of the variance. This study provides insights into the factors associated with thymic size in neonates, highlighting the critical role of birth weight in thymic development. Future research should explore additional variables influencing thymic size and consider larger sample sizes to enhance model explanatory power and its potential role in immunity.

Perinatal outcomes in newborns of mothers with gestational diabetes – a retrospective analysis

Introduction and objective: Gestational diabetes mellitus (GDM), in case of inadequate glycaemic control, is associated with an increased risk of maternal and neonatal complications. The aim of this study was to evaluate data concerning outcomes of neonates born to mothers with GDM, treated with only diet (GDM G1) compared to diet and insulin therapy (GDM G2). Special consideration was given to data concerning outcomes of neonates born after the COVID-19 pandemic outbreak in 2020. Materials and methods: Medical records were analysed. The data comprised records of newborns born at term or near term in the years 2017–2021. The statistical analysis was performed, with the significance level set at α = 0.05. Results: A total of 646 medical records were analysed. The study groups differed significantly (p &lt; 0.05) in the length of hospitalisation, incidence of cardiological abnormalities, and method of feeding during hospitalisation. There were no differences (p &gt; 0.05) between the groups in the results concerning neonatal anthropometric measurements, general condition after birth, or other perinatal outcomes. In 2020, significantly more (p &lt; 0.05) neonates required support in their adaptation period. These neonates were more often (p &lt; 0.05) diagnosed with birth defects and other complications. Conclusions: The level of maternal glycaemic control, appropriate medical care, and thus effectiveness of maternal treatment are important factors influencing neonatal outcomes and breastfeeding rates.

Gestational organophosphate esters (OPEs) exposure in association with placental DNA methylation levels of peroxisome proliferator-activated receptors (PPARs) signaling pathway-related genes

BackgroundOrganophosphate esters (OPEs) exposure could affect offspring health. However, the underlying mechanisms are not well documented. ObjectivesBased on a birth cohort study, we aimed to investigate the associations among gestational OPEs exposure, placental DNA methylation levels of peroxisome proliferator-activated receptor (PPAR) signaling pathway-related genes, and fetal growth. MethodsWe measured the concentrations of eight OPE metabolites in maternal urine samples and neonatal anthropometric measurements in 733 mother-child pairs. In 327 placental samples, we assessed the DNA methylation levels of 14 genes which were involved in the PPARs signaling pathway and expressed in placenta. Multiple linear regression models were used to examine the associations of OPEs exposure with placental DNA methylation, and of OPEs and placental DNA methylation with neonatal anthropometric measurements. Causal mediation analyses were conducted to examine the potential mediating role of placental DNA methylation in the pathway between OPEs exposure and fetal growth. ResultsWe observed a general pattern of OPEs exposure being associated with hypermethylation of candidate genes, with statistically significant associations identified for several OPEs with RXRA, ACAA1, ACADL, ACADM, PLTP, and NR1H3 methylation. Further, gestational exposure to BCIPP, DPP, BBOEP, ∑NCl-OPEs, and ∑OPEs tended to be associated with lower anthropometric measurements, with more significant associations observed on arm circumference, and abdominal and back skinfold thickness. Notably, RXRA, ACAA1, ACOX1, CPT2, ACADM, and NR1H3 methylation tended to be associated with lower neonatal anthropometric measurements, especially for abdominal and back skinfold thickness. Moreover, mediation analyses showed that 19.42 % of the total effect of DPP on the back skinfold thickness was mediated by changes in RXRA methylation, and there was a significant indirect effect of RXRA methylation. ConclusionsGestational OPEs exposure could disrupt the placental DNA methylation levels of PPAR signaling pathway-related genes, which might contribute to the effect of OPEs on fetal growth.

O-191 Delayed fetal growth in pregnant women with polycystic ovary syndrome using serial ultrasonographic biometry

Abstract Study question To investigate the effect of maternal polycystic ovary syndrome (PCOS) on intrauterine growth and perinatal outcome of offspring. Summary answer Maternal PCOS might have an adverse impact on fetal growth, represented by serial biometric measurements, and consequently lower the birth weight. What is known already Women with PCOS often have low fertility and high risk of certain pregnancy complications, including miscarriage, gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP) and preterm birth (PTB). In addition, the offspring of PCOS mothers are susceptible to short- and long-term health consequences, such as metabolic diseases and neuropsychiatric disorders. And the suboptimal intrauterine environment caused by maternal PCOS condition might be the origin of impaired long-term health of the offspring. Study design, size, duration A total of 1153 pregnant women with pregestational diagnosis of PCOS and 1383 non-PCOS controls were included in the retrospective case-control study for clinical record and ultrasonographic database at women’s hospital, school of medicine, Zhejiang university over a 6-year period. Participants/materials, setting, methods Maternal demographic data, fetal biometric measurements with ultrasound, obstetrical and neonatal outcomes were analyzed. A meta-analysis of birth weight in PCOS offspring in the literature was performed to assess the relationship between the maternal PCOS and neonatal growth. Main results and the role of chance After adjustment for potential confounding variables, we found that biparietal diameter (BPD) and femur length (FL) were notably smaller in fetuses of women with PCOS than controls across the entire gestation. This effect still existed after excluding three major pregnancy complications of PCOS, including GDM, HDP and PTB. Although other fetal biometry including estimated fetal weight and birth weight in PCOS offspring were comparable with controls in our study, the meta-analysis of 22 studies showed that the birth weight in offspring of women with PCOS was lower than controls (WMD -37.813, 95%CL [-69.713, -5.913]), especially for offspring in South America (WMD -84.69, 95%CL [-166.69, -2.68]). Limitations, reasons for caution First, data of other fetal parameters like abdominal and head circumference was scanty. Second, neonatal anthropometric parameters apart from the birth weight were not included. Lastly, we did not have the long-term follow-up results of the offspring to explore the potential effect of delayed fetal biometry in their later life. Wider implications of the findings More attention needs to be paid to the smaller-than-average fetuses in PCOS mothers, and proper management may be needed during and after pregnancy. Further studies are needed to confirm the intrauterine growth pattern of the PCOS offspring and its clinical significance in the neonatal period and beyond. Trial registration number N/A

Bias in the prenatal lung measurements in fetal congenital diaphragmatic hernia with intrauterine growth restriction.

The failure of a fetus to develop to its full potential due to maternal or placental factors is known as intrauterine growth restriction (IUGR). Fetal head growth is usually preserved in that situation producing a potential discordance between head and body size. Our goal is to discover if IUGR has an impact on the prenatal ultrasound measurements taken to assess pulmonary development in congenital diaphragmatic hernia (CDH). A retrospective chart review (IRB#2017-6361) was performed on all prenatally diagnosed CDH patients from 2007 to 2016. Patient demographics, fetal and neonatal anthropometric measurements, and fetal lung parameters were the main subjects of the data that were gathered. Fetal growth was assessed by the curves based on US data by Olsen etal. and by Peleg etal. Of 147 CDH patients, 19 (12.9 %) patients were diagnosed with IUGR before the 30th gestational week while there were 20 (13.6 %) patients after the 30th gestational week. Patients with IUGR and the observed-to-expected lung-to-head ratio (O/E LHR) less than 25 % had better survival rates both to discharge and date compared to non IUGR group (p=0.226, OR 2.25 95 % CI 0.60-1.08 and p=0.175, OR 2.40 95 % CI 0.66-1.17, respectively). Moreover, the ECMO need of the patients who had IUGR and O/E LHR less than 25 % was significantly less than the patients without IUGR (38.5 vs. 80.0 %, p=0.005). This study confirms that the intrauterine measurements to predict pulmonary hypoplasia in CDH patients are misleading in the presence of IUGR and cause an overestimation.

Unsupervised Learning-Based Measurement of Ultrasonic Axial Transmission Velocity in Neonatal Bone.

To develop a robust algorithm for estimating ultrasonic axial transmission velocity from neonatal tibial bone, and to investigate the relationships between ultrasound velocity and neonatal anthropometric measurements as well as clinical biochemical markers of skeletal health. This study presents an unsupervised learning approach for the automatic detection of first arrival time and estimation of ultrasonic velocity from axial transmission waveforms, which potentially indicates bone quality. The proposed method combines the ReliefF algorithm and fuzzy C-means clustering. It was first validated using an in vitro dataset measured from a Sawbones phantom. It was subsequently applied on in vivo signals collected from 40 infants, comprising 21 males and 19 females. The extracted neonatal ultrasonic velocity was subjected to statistical analysis to explore correlations with the infants' anthropometric features and biochemical indicators. The results of in vivo data analysis revealed significant correlations between the extracted ultrasonic velocity and the neonatal anthropometric measurements and biochemical markers. The velocity of first arrival signals showed good associations with body weight (ρ = 0.583, P value <.001), body length (ρ = 0.583, P value <.001), and gestational age (ρ = 0.557, P value <.001). These findings suggest that fuzzy C-means clustering is highly effective in extracting ultrasonic propagating velocity in bone and reliably applicable in in vivo measurement. This work is a preliminary study that holds promise in advancing the development of a standardized ultrasonic tool for assessing neonatal bone health. Such advancements are crucial in the accurate diagnosis of bone growth disorders.

Validity of a Delphi consensus definition of growth restriction in the newborn for identifying neonatal morbidity

BackgroundSmall-for-gestational age (SGA) is defined as a birthweight below a birthweight-percentile threshold, usually the 10th percentile, with the 3rd or 5th percentile used to identify severe SGA. SGA is used as a proxy for growth restriction in the newborn, but SGA newborns can be physiologically small and healthy. This definition also excludes growth restricted newborns who have weights above the 10th percentile. To address these limits, a Delphi study developed a new consensus definition of growth restriction in the newborn based on neonatal anthropometric and clinical parameters, but it has not been evaluated. ObjectivesTo assess the prevalence of growth restriction in the newborn according to the Delphi consensus definition and to investigate associated morbidity risks compared to definitions of SGA using birthweight-percentile thresholds. Study designData come from the 2016 and 2021 French National Perinatal Surveys which include all births ≥22 weeks and/or with birthweights ≥500 grams in all maternity units in France over a one-week period. Data are collected from medical records and interviews with mothers after the delivery. The study population included 23,897 liveborn singleton births. The Delphi consensus definition of growth restriction was birthweight <3rd percentile or at least 3 of the following criteria: birthweight, head circumference or length <10th percentile, antenatal diagnosis of growth restriction or maternal hypertension. A composite of neonatal morbidity at birth, defined as five-minute Apgar score <7, cord arterial pH <7.10, resuscitation and/or neonatal admission, was compared using the Delphi definition and usual birthweight-percentile thresholds for defining SGA using the following birthweight percentile groups: <3rd, 3rd-4th and 5th-9th percentiles. Relative risks were adjusted (aRR) for maternal characteristics (age, parity, body mass index, smoking, educational level, pre-existing hypertension and diabetes, and study year) and then for the consensus definition and birthweight percentile groups. Multiple imputation by chained equations was used to impute missing data. Analyses were carried out in the overall sample and among term and preterm newborns separately. Results4.9% (95% confidence intervals (CI): 4.6-5.2) of newborns were identified with growth restriction, of whom 29.7% experienced morbidity, yielding a aRR of 2.5 (95% CI: 2.2-2.7) compared to newborns without growth restriction. Compared to birthweight ≥10th percentile, morbidity risks were higher for low birthweight percentiles (<3rd aRR=3.3 (95%CI: 3.0-3.7), 3rd-4th RR=1.4 (95%CI:1.1-1.7), 5th-9th RR=1.4, (95%CI:1.2-1.6)). In adjusted models including the definition of growth restriction and birthweight percentile groups and excluding birthweights <3rd percentile, which are included in both definitions, morbidity risks remained higher for birthweights at the 3rd-4th percentile (aRR=1.4, 95% CI: 1.1-1.7) and 5th-9th percentile (aRR= 1.4, 95%CI: 1.2-1.6), but not for the Delphi definition of growth restriction (aRR= 0.9, 95%CI: 0.7-1.2). Similar patterns were found for term and preterm newborns. ConclusionThe Delphi consensus definition of growth restriction did not identify more newborns with morbidity than definitions of SGA based on birthweight percentiles. These findings illustrate the importance of evaluating the results of Delphi consensus studies before their adoption in clinical practice.

Association Between Cord Blood Placental Growth Factor Level, Fetal Doppler Parameters and Neonatal Growth Measures

Background: Placental growth factor (PlGF) contributes to fetoplacental circulatory system development, whichever revealed to have an effect on the fetal size and growth. Objectives: To explore the inference between umbilical cord blood [fetal] PlGF, fetal doppler parameters, gestational age and neonatal growth parameters particularly birth weight, birth length, head circumference and mid arm circumference. Research protocol: This cross-sectional investigation was implemented on 50 pregnant women in their third trimester, aged 18-35years and their full term newborns. Full history taking, gestational age, general and obstetric examination and ultrasound investigation, fetal biometrics and doppler ultrasound were carried out. Umbilical cord blood PlGF was quantified using ELISA. All the enrolled neonates were submitted to full clinical examination by pediatrician and their anthropometric parameters were measured before breast feeding started. Results: Umbilical artery pulsatility index (UAPI) revealed significant negative correlation with neonatal weight and PlGF level. Meanwhile, gestational age (GA) showed significant positive correlation with the neonatal anthropometric parameters including mid arm circumference (MAC), head circumference, weight, length, weight Z score, length Z score, head Z score weight to length (W/L) and weight to length Z score (W/L Z Score). Also, significant positive correlation between PlGF and gestational age as well as the neonatal anthropometric measurements was registered except head Z Score. Multiple linear regression analysis for PlGF with UA PI and neonatal weight indicated that UAPI and neonatal weight were significant predictors for fetal PlGF. Conclusions: The current data illuminate the effect of fetal placental growth factor on neonatal adverse growth pattern. Additionally, fetal placental growth factor with fetal doppler parameters could be a promising predictive biomarkers to intervene neonates at risk for adverse childhood outcomes.

Maternal Obesity and Neonatal Metabolic Health: Insights Into Insulin Resistance.

Background Maternal obesity is a global health concern that leads to metabolic alterations in the offspring, making them vulnerable to metabolic disorders in adulthood. Early identification of such neonates would provide opportunities to positively alter modifiable risk factors for non-communicable diseases (NCDs) to prevent their occurrence later in life. Objectives This study aimed to assess and contrast insulin resistance (IR) levels in neonates born to mothers with obesity and those born to healthy, non-obese mothers. Methods This case-control study was conducted after approval from the institutional ethics committee. A total of 98 healthy, non-obese pregnant females were included in Group 1, and 68 obese pregnant females were included in Group 2. The participants were followed up until delivery and cord blood samples were collected after delivery. Neonatal glucose and insulin concentrations were estimated, and indices of IR such as homeostatic model assessment for insulin resistance (HOMA-IR), quantitative insulin-sensitivity check index (QUICKI), and glucose-to-insulin ratio were calculated. Neonatal IR indices and anthropometric measurements were compared between the groups using the Z test and correlated with the maternal pre-pregnancy body mass index (BMI) using Pearson's correlation. Additionally, Pearson's correlations were examined between neonatal IR indices and anthropometric measurements. Statistical significance was set at p <0.05. Results Neonates in Group 2 exhibited significantly higher anthropometric parameters and IR indices than those in Group 1. A statistically significant positive correlation was identified between maternal pre-pregnancy BMI, neonatal anthropometric parameters, and IR. Furthermore, a statistically significant positive correlation was observed between neonatal IR and the anthropometric parameters. Conclusion Neonates born to obese mothers exhibited higher anthropometric parameters and insulin resistance than those born to non-obese, healthy mothers. Assessment of IR at birth can help identify neonates who are at higher risk of developing NCD in later life. Timely promotion of a healthy lifestyle can reduce the occurrence of NCDs in later life.

Associations of maternal serum concentration of iron-related indicators with birth outcomes in Chinese: a pilot prospective cohort study

BackgroundPrevious studies of maternal iron and birth outcomes have been limited to single indicators that do not reflect the comprehensive relationship with birth outcomes. We aimed to investigate the relationship between maternal iron metabolism and neonatal anthropometric indicators using comprehensive iron-related indicators.MethodsA total of 914 Chinese mother-child dyads were enrolled in this prospective study. Subjects’ blood samples were collected at ≤ 14 weeks of gestation. Serum concentrations of iron-related indicators were measured by enzyme-linked immunosorbent assay (ELISA). Femur length was measured by B-ultrasound nearest delivery. Neonatal anthropometric indicators were collected from medical records.ResultsAfter adjustment for potential covariates, higher iron (per one standard deviation, SD increase) was detrimentally associated with − 0.22 mm lower femur length, whereas higher transferrin (per one SD increase) was associated with 0.20 mm higher femur length. Compared with normal subjects (10th-90th percentiles), subjects with extremely high (> 90th percentile) iron concentration were detrimentally associated with lower femur length, birth weight, and chest circumference, and a higher risk of low birth weight, LBW (HR: 3.92, 95%CI: 1.28, 12.0). Subjects with high concentration of soluble transferrin receptor, sTFR and transferrin (> 90th percentile) were associated with higher femur length. Subjects with low concentration of iron and ferritin concentrations (< 10th percentile) were associated with a higher risk of LBW (HR: 4.10, 95%CI: 1.17, 14.3) and macrosomia (HR: 2.79, 95%CI: 1.06, 7.35), respectively.ConclusionsMaternal iron overload in early pregnancy may be detrimentally associated with neonatal anthropometric indicators and adverse birth outcomes.

Are Maternal Vitamin D (25(OH)D) Levels a Predisposing Risk Factor for Neonatal Growth? A Cross-Sectional Study.

Neonatal bone mass may potentially be influenced by existing maternal vitamin D (25(OH)D) levels. Few studies evaluated maternal vitamin D deficiency (VDD) with neonatal anthropometrics such as weight, height and head circumference (HC), especially in Greece, which is a Mediterranean country with plenty of sunshine and consequently benefits the synthesis of 25(OH)D. We investigated this potential association in Greece, taking into account the administration or not of prenatal vitamin D supplements. The purpose of our study is to ascertain if there is a possible association between maternal VDD and neonatal specific anthropometric characteristics (weight, height and HC) at birth. If this is confirmed by future clinical studies, it would be of interest to develop a prenatal pregnancy selection program that would detect VDD early or during pregnancy in order to improve fetal-neonatal development in a Mediterranean country like ours. We performed a cross-sectional study on 248 early early term infants (after 37 + 0 to 38 + 6 weeks of gestation) but also on full-term infants (after 39 to 40 weeks of gestation) and their Greek mothers from September 2019 to January 2022. Blood samples of 25(OH)D were taken from the mother at the beginning of labor and cord blood was taken from the newborn. Pregnant women were divided into two groups: those who received or did not receive a normal dose of calcium (500 mg/day) and vitamin D supplements (400-800 IU/day) as instructed by their treating physicians. Our findings revealed a positive association between maternal VDD and low neonate birth weight (LBW) in women receiving vitamin D during pregnancy and no association between maternal VDD and neonatal height or head circumference (HC) at birth. Overall, this study highlighted the association between maternal VDD at the end of gestation and LBW neonates born to mothers who received vitamin D supplementation. We did not find any correlation in two of the three somatometric characteristics studied, height and HC. In any case, more clinical studies are needed to further corroborate any potential association of maternal VDD with other neonatal somatometric characteristics.

Neonatal outcome following metformin-treated gestational diabetes mellitus: A population-based cohort study.

Neonatal hypoglycemia is a common complication associated with gestational diabetes and therefore relevant to consider in evaluations of maternal treatment. We aimed to investigate the risk of neonatal hypoglycemia in offspring exposed to metformin treatment alone (MT) or combined with insulin (MIT) in comparison with nutrition therapy alone (NT), and insulin treatment alone (IT). In addition, we investigated MT in comparison with MIT. Secondary outcomes included neonatal anthropometrics, respiratory morbidity, hyperbilirubinemia, 5-min Apgar score, and preterm birth. This Swedish population-based cohort included 16 181 women diagnosed with gestational diabetes, and their singleton offspring born in 2019-2021. We estimated risk as adjusted odds ratio (aOR) with 95% confidence interval (CI), using individual-level, linkage register-data in multivariable logistic regression models. In the main analysis, MT was associated with a lower risk of neonatal hypoglycemia vs NT (aOR 0.85, 95% CI: 0.74-0.96), vs MIT (0.74 [0.64-0.87]), and vs IT (0.47 [0.40-0.55]), whereas MIT was associated with a similar risk of neonatal hypoglycemia vs NT (1.14 [0.99-1.30]) and with lower risk vs IT (0.63 [0.53-0.75]). However, supplemental feeding rates were lower for NT vs pharmacological treatments (p < 0.001). In post hoc subgroup analyses including only exclusively breastfed offspring, the risk of neonatal hypoglycemia was modified and similar among MT and NT, and higher in MIT vs NT. Insulin exposure, alone or combined with metformin, was associated with increased risk of being large for gestational age. Compared with NT, exposure to any pharmacological treatment was associated with significantly lower risk of 5-min Apgar score < 4. All other secondary outcomes were comparable among the treatment categories. The risk of neonatal hypoglycemia appears to be comparable among offspring exposed to single metformin treatment and nutrition therapy alone, and the lower risk that we observed in favor of metformin is probably explained by a difference in supplemental feeding practices rather than metformin per se. By contrast, the lower risk favoring metformin exposure over insulin exposure was not explained by supplemental feeding. However, further investigations are required to determine whether the difference is an effect of metformin per se or mediated by other external factors.

Associations between maternal urinary kisspeptin in late pregnancy and decreased fetal growth: a pregnancy-birth cohort study.

Kisspeptin has been indicated to be a biomarker of fetal growth. Although some evidence suggested that maternal kisspeptin concentrations in early pregnancy were associated with increased fetal growth, studies are still limited and the effect of kisspeptin in late pregnancy remains unknown. This study aimed to investigate the associations between maternal kisspeptin in late pregnancy and fetal growth. Based on the Shanghai-Minhang Birth Cohort study, 724 mother-neonate pairs were included in this study. We measured maternal kisspeptin concentrations in the urine samples collected in late pregnancy and neonatal anthropometric indices at birth. The associations between maternal kisspeptin and neonatal anthropometry were investigated using multiple linear regression models. Higher maternal urinary kisspeptin concentrations were associated with lower neonatal birth weight, head circumference, upper arm circumference, abdominal skinfold thickness, triceps skinfold thickness, and back skinfold thickness. The inverse associations were more pronounced for the highest kisspeptin levels versus the lowest. These patterns were consistent in analyses stratified by neonatal sex, with notably stable associations between maternal kisspeptin concentrations and skinfold thickness. The present study suggested that maternal kisspeptin concentrations in late pregnancy might be inversely associated with fetal growth. The physiological mechanisms of maternal kisspeptin might differ from those in early pregnancy. Further studies are required to assess associations between maternal kisspeptin and energy homeostasis and explore the physiological roles of kisspeptin in late pregnancy.

Cord Blood Vitamin D Status and Its Anthropometric Correlation in Term, Appropriate-for-Gestational-Age Newborns: A Cross-sectional Study

Introduction: Hypovitaminosis D is highly prevalent worldwide, including in India. Vitamin D deficiency during pregnancy can also lead to deficiency in the foetus. This deficiency can have a negative impact on foetal growth, as vitamin D is essential for calcium and bone homeostasis, as well as skeletal growth. Aim: To determine the cord blood vitamin D status and evaluate the correlation between cord blood vitamin D levels and neonatal anthropometric measurements in term, appropriate- for-gestational-age newborns at birth. Materials and Methods: A cross-sectional study was conducted at a tertiary care centre. Two hundred term, appropriate-for- gestational-age newborns were included in the study. Cord blood 25(OH)D levels and anthropometric measurements were taken at birth. The data were analysed statistically, and significance was determined using the Analysis of Variance (ANOVA) test. Results: Vitamin D levels were deficient (&lt;12 ng/dL) in 80 (40%) samples, insufficient (&lt;20 ng/dL) in 93 (46.5%) samples, and sufficient in 27 (13.5%) samples of cord blood. No significant relationship was found between cord blood vitamin D concentrations and neonatal weight, length, and head circumference at birth (p&gt;0.05). Conclusion: A very high level of vitamin D deficiency or insufficiency was observed in cord blood samples. There was no association between maternal vitamin D concentrations and neonatal anthropometric measurements in the infants.

Neonatal anthropometric indicators of infant growth and mortality in Burkina Faso.

Most evidence supporting screening for undernutrition is for children aged 6-59 months. However, the highest risk of mortality and highest incidence of wasting occurs in the first 6 months of life. We evaluated relationships between neonatal anthropometric indicators, including birth weight, weight-for-age Z-score (WAZ), weight-for-length Z-score (WLZ), length-for-age Z-score (LAZ) and mid-upper arm circumference (MUAC) and mortality and growth at 6 months of age among infants in Burkina Faso. Data arose from a randomised controlled trial evaluating neonatal azithromycin administration for the prevention of child mortality. We evaluated relationships between baseline anthropometric measures and mortality, wasting (WLZ < -2), stunting (LAZ < -2) and underweight (WAZ < -2) at 6 months of age were estimated using logistic regression models adjusted for the child's age and sex. Five regions of Burkina Faso. Infants aged 8-27 d followed until 6 months of age. Of 21 832 infants enrolled in the trial, 7·9 % were low birth weight (<2500 g), 13·3 % were wasted, 7·7 % were stunted and 7·4 % were underweight at enrolment. All anthropometric deficits were associated with mortality by 6 months of age, with WAZ the strongest predictor (WAZ < -2 to ≥ -3 at enrolment v. WAZ ≥ -2: adjusted OR, 3·91, 95 % CI, 2·21, 6·56). Low WAZ was also associated with wasting, stunting, and underweight at 6 months. Interventions for identifying infants at highest risk of mortality and growth failure should consider WAZ as part of their screening protocol.

The association between maternal healthy lifestyle factors during pregnancy and the neonatal anthropometric indicators based on a prospective cohort study.

We aimed to evaluate the associations between a combined healthy lifestyle during the second and third trimesters and offspring anthropometric outcomes in China. We examined these associations among 548 participants from nine community health centers and three hospitals in the North China cohort. A pregnant women's healthy lifestyle score (HLS) was constructed based on six lifestyle factors: smoking, alcohol consumption, physical activity, sedentary behavior, diet, and gestational weight gain. Anthropometric indicators at birth like birth weight (BW), head circumference (HC), and birth length (BL) were collected, and weight to head circumference ratio (WHC, kg/m), body mass index (BMI, kg/m2) and Ponderal Index (PI, kg/m3) were calculated. Multivariate linear and logistic regression models were used to examine the effects of HLS during the second and third trimesters on anthropometric outcomes at birth, respectively. In fully adjusted models, we found a negative association between second and third-trimester HLS and offspring HC and a positive relationship between second-trimester HLS and BL (p<0.05). Neonates with mothers in the highest HLS tertile had a 5.6% relatively lower HC and 2.3% relatively longer body length than women in the lowest tertile. Each additional unit in third-trimester HLS had an associated decrease in HC by 0.96 cm. None of the associations between HLS and BW, WHC, BMI, and PI of offspring were observed. A healthy lifestyle score may significantly impact offspring head circumference and body length, supporting the important role of healthy lifestyles in improving the health of offspring.