Associations between maternal pre-pregnancy BMI and infant striatal mean diffusivity.

BACKGROUND: It is well-established that parental obesity is a strong risk factor for offspring obesity. Further, a converging body of evidence now suggests that maternal weight profiles may affect the developing offspring's brain in a manner that confers future obesity risk. Here, we investigated how pre-pregnancy maternal weight status influences the reward-related striatal areas of the offspring's brain during in utero development. METHODS: We used diffusion tensor imaging to quantify the microstructure of the striatal brain regions of interest in neonates (N = 116 [66 males, 50 females], mean gestational weeks at birth [39.88], SD = 1.14; at scan [43.56], SD = 1.05). Linear regression was used to test the associations between maternal pre-pregnancy body mass index (BMI) and infant striatal mean diffusivity. RESULTS: High maternal pre-pregnancy BMI was associated with higher mean MD values in the infant's left caudate nucleus. Results remained unchanged after the adjustment for covariates. CONCLUSIONS: In utero exposure to maternal adiposity might have a growth-impairing impact on the mean diffusivity of the infant's left caudate nucleus. Considering the involvement of the caudate nucleus in regulating eating behavior and food-related reward processing later in life, this finding calls for further investigations to define the prognostic relevance of early-life caudate nucleus development and weight trajectories of the offspring.

How are socioeconomic inequalities in preterm birth explained by maternal smoking and maternal body mass index: A mediation analysis.

BACKGROUND: Preterm birth affects between 7% and 8% of births in the UK and is a leading cause of infant mortality and childhood disability. Prevalence of preterm birth has been shown to have significant and consistent socioeconomic inequalities. OBJECTIVE: To estimate how much of the association between socioeconomic status (SES) and gestational age at birth is mediated by maternal smoking status and maternal body mass index (BMI). METHODS: Retrospective cohort study of a maternity hospital in the UK. The analysis included all singleton live births between April 2009 and March 2020 to mothers 18 years old and over, between 22 weeks and 43 weeks gestation. We estimate two measures of mediation for four low gestational age categories: (i) The proportion eliminated the percentage of the effect of SES on low gestational age at birth that would be eliminated by removing the mediators, through the Controlled Direct Effects estimated using serial log-binomial regressions; and (ii) The proportion mediated is the percentage of the effect removed by equalising the distribution of the mediators across socioeconomic groups, estimated using Interventional Disparity Measures calculated through Monte Carlo simulations. RESULTS: Overall, 81,219 births were included, with 63.7% low SES. The risk of extremely (0.3% of all births), very (0.7%) and moderately preterm birth (6.3%) was 1.71 (95% Confidence Interval [CI] 1.29, 2.31), 1.43 (95% CI 1.18, 1.73) and 1.26 (95% CI 1.19, 1.34) times higher in the low SES, compared to higher SES respectively. The proportion of this inequality eliminated by removing both maternal smoking and BMI was 43.4% for moderately preterm births. The proportion mediated for smoking was 33.9%, 43.0% and 48.4% respectively. CONCLUSIONS: Smoking during pregnancy is a key mediator of inequalities in preterm birth, representing an area for local action to reduce social inequalities in preterm birth.

Pre-pregnancy overweight or obesity moderates the association between prenatal maternal depressive symptoms and infant cord blood omega-3 levels.

BACKGROUND: Empirical evidence has demonstrated associations between pre-pregnancy obesity and perinatal maternal depressive symptoms. Omega-3 is an essential fatty acid derived from dietary sources that is critical for fetal brain development. Pre-pregnancy obesity is associated with higher omega-3 intake, but a weaker association between dietary intake and respective maternal and cord blood omega-3 levels. Further, lower intake of omega-3 during pregnancy has been linked to higher depressive symptoms. Yet, prior studies have not examined the interactive effects of pre-pregnancy overweight or obesity (OWOB) and prenatal maternal mental health symptoms on infant cord blood omega-3 levels. METHODS: Participants included 394 maternal-infant dyads from the NIH Environmental influences on Child Health Outcomes (ECHO) - Safe Passage Study in South Dakota. A pre-pregnancy body mass index (BMI) > 25 was used to dichotomize participants as OWOB (54%) vs. non-OWOB (46%). Prenatal maternal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS) and prenatal maternal anxiety symptoms were measured using the State-Trait Anxiety Inventory (STAI). We implemented linear regression models to examine the interaction term between pre-pregnancy BMI category and prenatal maternal mental health symptoms on cord blood omega-3 levels. Secondary analyses were stratified by pre-pregnancy BMI category. RESULTS: We observed a significant interaction between pre-pregnancy BMI category and prenatal maternal depressive symptoms with cord blood omega-3 (F(4,379) = 6.21, p < .0001, adj. R2 = 0.05). Stratified models revealed an association between prenatal maternal depressive symptoms with lower cord blood omega-3 levels only among individuals with pre-pregnancy OWOB (ß = -0.06, 95% CI = -0.11, -0.02; F (2,208) = 4.00, p < .05, adj R2 = 0.03). No associations were observed among non-OWOB participants. CONCLUSIONS: Findings suggest maternal-placental transfer of omega-3 may represent one pathway by which maternal metabolic and mental health impacts infant development.

Does overweight and obesity have an impact on delivery mode and peripartum outcome in breech presentation? A FRABAT cohort study.

PURPOSE: Obesity is a worldwide and growing issue affecting women in childbearing age, complicating surgical procedures as well as pregnancy. Through a reduction of not necessarily required cesarean deliveries-for instance in pregnancies with breech presentation-obesity mediated and surgery-associated morbidity might be contained. Date on the impact of maternal BMI in vaginally attempted breech delivery is not existing. To give insight into whether an elevated BMI leads to an increased perinatal morbidity in vaginally intended deliveries out of breech presentation, we analyzed delivery outcome of laboring women with a singleton baby in breech presentation with overweight and obesity (BMI ≥ 25 kg/m2) in comparison to women with a BMI of below 25 kg/m2. METHODS: Based on data from January 2004 to December 2020, a cohort study was performed on 1641 women presenting with breech presentation at term (> 37 weeks). The influence of maternal BMI on perinatal outcome was analyzed with Chi2 testing for group differences and logistic regression analysis. Patients with a hyperglycemic metabolism were excluded from the study. RESULTS: Fetal morbidity was not different when patients with a BMI of ≥ 25 kg/m2 (PREMODA morbidity score 2.16%) were compared to patients with a BMI of below 25 kg/m2 (1.97%, p = 0.821). Cesarean delivery rates were significantly higher in overweight and obese women with 43.9% compared to 29.3% (p < 0.0001). BMI and cesarean delivery were significantly associated in a logistic regression analysis (Chi2 coefficient 18.05, p < 0.0001). In successful vaginal deliveries out of breech presentation, maternal perineal injury rates (vaginal birth in normal-BMI women 48.4%; vaginal birth in overweight and obese women: 44.2%; p = 0.273) and rates of manually assisted delivery (vaginal birth in normal-BMI women: 44.4%; vaginal birth in obese and overweight women: 44.2%; p = 0.958) were not different between BMI groups. CONCLUSIONS: Obesity and overweight are not associated with peripartum maternal or newborn morbidity in vaginally attempted breech delivery, if the patient cohort is thoroughly selected and vaginal breech delivery is in an upright maternal position. Reduction of cesarean delivery rates, especially in overweight and obese women might, have an important positive impact on maternal and newborn morbidity.

The impact of abnormal maternal body mass index during pregnancy on perinatal outcomes: a registry-based study from Qatar.

OBJECTIVES: Abnormal body mass index (BMI) during pregnancy, a growing public health concern, increases maternal and neonatal complications. This study aimed to investigate the impact of abnormal BMI on perinatal outcomes compared to normal BMI. METHODS: A total of 14,624 women having singleton births were categorized as underweight (BMI<18.5 kg/m2), overweight (25.0-29.9 kg/m2), obesity class I (30.0-34.9 kg/m2), obesity class II (35.0-39.9 kg/m2), and obesity class III (≥40.0 kg/m2) and compared to those with normal BMI (18.5-24.9 kg/m2). Outcomes included gestational diabetes (GDM), gestational hypertension (GHT), postpartum haemorrhage (PPH), cesarean delivery (CD), preterm birth (PTB), low birth weight (LBW), congenital anomalies and neonatal intensive care unit admission. RESULTS: Women with increasing BMI had increasingly higher odds of developing specific adverse outcomes, the highest being in the class III obesity group (GDM-aOR 2.71, 95 % CI 2.25-3.27, p<0.001, GHT-aOR 5.32 95 % CI 3.49-8.11, p<0.001, CD-aOR 2.33 95 % CI 1.85-2.94, p<0.001, PPH-aOR 1.77 95 % CI 1.35-2.33, p<0.001). On the other hand, being underweight during pregnancy was associated with increased odds of PTB (aOR 2.09, 95 % CI 1.37-3.20, p=0.001), LBW (OR 1.88, 95 % CI 1.27-2.79, p=0.002) and congenital anomalies (aOR 2.52 95 % CI 1.12-5.64, p=0.025). Majority in the underweight category gained less than expected gestational weight gain during the pregnancy. CONCLUSIONS: The findings of this study have important implications for the clinical management of pregnant women with abnormal BMI. Interventions to improve maternal and neonatal outcomes must focus on enhancing pre-pregnancy BMI and maintaining adequate gestational weight gain.

Impact of maternal body mass index on the accuracy of third trimester sonographic estimation of fetal weight.

OBJECTIVES: To Determine whether maternal body mass index (BMI) can affect the accuracy of sonographic estimation of fetal weight (EFW) in the third trimester when compared to neonatal birthweight (BW). METHODS: Secondary analysis from our original prospective cohort of pregnant women beyond 34 weeks, distributed in 4 groups according to their BMI: normal, overweight, obese and morbid obese. Fetal biometry and fluid measurements were obtained by two experienced sonographers, blinded for patient's clinical information and to each other's measurements. Average EFW and neonatal BW were converted into gestational-specific Z-scores. Interobserver correlation coefficient (ICC) and Cronbach's reliability coefficient (CRC) were calculated. Bland-Altman (BA) plots were constructed to assess the level of accuracy. RESULTS: 100 women were enrolled (800 measurements obtained by 17 sonographers): 17 had normal BMI (17%), 27 were overweight (27%), 29 were obese (29%) and 27 were morbidly obese (27%). There was no statistical difference for GA at delivery (p = 0.74), EFW (p = 0.05) or BW (p = 0.09) between groups (Table 1). Mean Z-score for EFW was - 0.17 (SD 0.81) and for neonatal BW was - 0.25 (SD 0.74). ICC was 0.69 (95% CI 0.57, 0.78) and CRC was 0.82. Mean Z-score difference was small (Table 2). When stratifying according to BMI categories, the ICC ranged from 0.49 to 0.76. Reliability indices ranged from 0.66 to 0.86. The Z-scores' differences were overall small with no statistical difference (Table 3). BA showed evenly distributed interobserver differences (Fig. 1). CONCLUSIONS: When performed by trained sonographers, fetal weight estimation in the third trimester is accurate when compared to neonatal birthweight at increasing BMI categories.

Oligosaccharides and Microbiota in Human Milk Are Interrelated at 3 Months Postpartum in a Cohort of Women with a High Prevalence of Gestational Impaired Glucose Tolerance.

BACKGROUND: Human milk is a rich source of human milk oligosaccharides (HMOs) and bacteria. It is unclear how these components interact within the breast microenvironment. OBJECTIVES: The objectives were first, to investigate the association between maternal characteristics and HMOs, and second, to assess the association between HMOs and microbial community composition and predicted function in milk from women with high rates of gestational glucose intolerance. METHODS: This was an exploratory analysis of a previously completed prospective cohort study (NCT01405547) where milk samples (n = 107) were collected at 3 mo postpartum. Milk microbiota composition was analyzed by V4-16S ribosomal RNA gene sequencing and HMOs by rapid high-throughput HPLC. Data were stratified and analyzed by maternal secretor status phenotype and associations between HMOs and microbiota were determined using linear regression models (ɑ-diversity), Adonis (B-diversity), Poisson regression models (differential abundance), and general linear models (predicted microbial function). RESULTS: Prepregnancy BMI, race, and frequency of direct breastfeeding, but not gestational glucose intolerance, were found to be significantly associated with a number of HMOs among secretors and non-secretors. Fucosyllacto-N-hexaose was negatively associated with microbial richness (Chao1) among secretors [B-estimate (SE): -9.3 × 102 (3.4 × 102); P = 0.0082] and difucosyllacto-N-hexaose was negatively associated with microbiota diversity (Shannon index) [-1.7 (0.78); P = 0.029] among secretors. Lacto-N-neotetraose (LNnT) was associated with both microbial B-diversity (weighted UniFrac R2 = 0.040, P = 0.036) and KEGG ortholog B-diversity (Bray-Curtis R2 = 0.039, P = 0.043) in secretors. Additionally, difucosyllactose in secretors and disialyllacto-N-hexaose and LNnT in non-secretors were associated with enrichment of predicted microbial genes encoding for metabolism- and infection-related pathways (P-false discovery rate < 0.1). CONCLUSIONS: HMOs are associated with the microbial composition and predicted microbial functions in human milk at 3 mo postpartum. Further research is needed to investigate the role these relations play in maternal and infant health.

Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers.

OBJECTIVE: To assess the association between pregestational BMI and offspring's risk of overweight/obesity after accounting for the most important confounders, especially maternal smoking habit. DESIGN: Prospective cohort study. SETTING: The Seguimiento Universidad de Navarra (SUN) study is a prospective cohort of Spanish graduates with more than 22 000 participants nationwide. Recruitment started in 1999, and it is permanently open. Data on diet, lifestyle and clinical diagnoses are collected at baseline and every 2 years. PARTICIPANTS: Women from the SUN cohort who reported at least one pregnancy during follow-up (n 3496) were invited to this study. Among them, 1527 agreed to participate and completed an additional more detailed online questionnaire on their pregnancy history and their offspring's nutritional status. RESULTS: After excluding 165 children, we analysed data of 2791 participants born to 1485 mothers and observed that each 5 kg/m2 increase in pregestational BMI was associated with a 0·22 (95 % CI 0·15, 0·29) higher z-score in offspring's BMI and higher risk of overweight/obesity (multivariable-adjusted relative risk (RR) 1·57 (95 % CI 1·39, 1·77)) in childhood or adolescence. Furthermore, we observed stronger association in children born to smoker mothers (RR 1·91; 95 % CI 1·48, 2·46) than from non-smoker mothers (RR 1·51; 95 % CI 1·31, 1·73) (Pfor interaction = 0·02). CONCLUSIONS: We found a synergistic interaction between pregestational BMI and maternal smoking habit on offspring's z-score of the BMI and in their risk of overweight/obesity. Although further research is needed to analyse dose-response relationships, these findings reinforce the importance of promoting healthy lifestyles in pregnant women in order to prevent childhood obesity.

Pre-pregnancy maternal BMI classification is associated with preschool childhood diet quality and childhood obesity in the Avon Longitudinal Study of Parents and Children.

OBJECTIVE: To explore the effect of maternal BMI class pre-pregnancy (overweight/obese v. healthy weight/underweight) on childhood diet quality and on childhood overweight/obesity risk. DESIGN: Dietary data were collected using 3-d parental-completed food records for their children at ages 18 and 43 months. An index of diet quality was derived by classification of food items into core and non-core foods. Adjusted multiple linear regression analyses were used to explore the effect of maternal BMI class on diet quality in their children. SETTING: Avon, UK. PARTICIPANTS: A 10% subsample of the Avon Longitudinal Study of Parents and Children. Nine-hundred and eighty children provided complete dietary data at 18 months and 769 at 43 months. RESULTS: Children with overweight/obese mothers consumed greater amounts of energy from non-core foods than children with healthy weight/underweight mothers (0·20 MJ (48 kcal)/d more at 18 months (P < 0·001); 0·19 MJ (45 kcal)/d more at 43 months (P = 0·008)) in adjusted models. Diet quality deteriorated between 18 and 43 months (children reduced their dietary energy intake from core foods (P < 0·001) and increased intake from non-core foods (P < 0·001)). However, this change was not associated with maternal BMI class in adjusted models. Having an overweight/obese mother was associated with an increased odds of the child being overweight/obese at 43 months (OR 1·74 (1·17, 2·58)). CONCLUSIONS: Children aged 18 and 43 months with overweight/obese mothers are likely to have a poorer quality diet than those with healthy/underweight mothers. Parents should be supported in discouraging the consumption of non-core foods in children at these ages.

Obesity and adiposity of 3- to 6-year-old children born to mothers with hyperglycaemia first detected in pregnancy in an urban South African setting.

BACKGROUND: Understanding the association between maternal metabolic conditions in pregnancy and the risk of childhood overweight, a growing concern in sub-Saharan Africa (SSA), helps to identify opportunities for childhood obesity prevention. AIM: To assess the association between hyperglycaemia first detected in pregnancy (HFDP) (gestational diabetes mellitus [GDM] and diabetes in pregnancy [DIP]) and child obesity and adiposity in pre-school-aged children in South Africa, independently of maternal BMI. SUBJECTS AND METHODS: Measurement of anthropometry and fat mass index (FMI) by the deuterium dilution method was done for 102 3-6-year-old children born to mothers with HFDP and 102 HFDP-unexposed children. Hierarchical regression analysis and generalised structural equation modelling (GSEM) were performed. RESULTS: The prevalence of overweight/obesity was 10.5% and 11.1% in children exposed to GDM and DIP, respectively, and 3.9% in the HFDP-unexposed group. Log-transformed FMI was significantly higher in the DIP-exposed group (ß = 0.166, 95% CI = 0.014-0.217 p= .026), but not when adjusting for maternal pregnancy BMI (ß = 0.226, 95% CI = 0.003-0.015, p = .004). GSEM showed significant total effects of maternal BMI and birth weight on FMI/BMI. CONCLUSIONS: Maternal pregnancy BMI seems to play a greater role in the development of childhood adiposity than maternal hyperglycaemia, requiring further research and identifying maternal BMI as a relevant prevention target in our setting.

Factors affecting cell-free DNA fetal fraction: statistical analysis of 13,661 maternal plasmas for non-invasive prenatal screening.

BACKGROUND: The identification of cell-free fetal DNA (cffDNA) facilitated non-invasive prenatal screening (NIPS) through analysis of cffDNA in maternal plasma. However, challenges regarding its clinical implementation become apparent. Factors affecting fetal fraction should be clarified to guide its clinical application. RESULTS: A total of 13,661 pregnant subjects with singleton pregnancies who undertook NIPS were included in the study. Relationship of gestational age, maternal BMI, and maternal age with the cffDNA fetal fraction in maternal plasmas for NIPS was investigated. Compared with 13 weeks (12.74%) and 14-18 weeks group (12.73%), the fetal fraction in gestational ages of 19-23 weeks, 24-28 weeks, and more than 29 weeks groups significantly increased to 13.11%, 16.14%, and 21.17%, respectively (P < 0.01). Compared with fetal fraction of 14.54% in the maternal BMI group of < 18.5 kg/m2, the percentage of fetal fraction in the group of 18.5-24.9 kg/m2 (13.37%), 25-29.9 kg/m2 (12.20%), 30-34.9 kg/m2 (11.32%), and 35-39.9 kg/m2 (11.57%) decreased significantly (P < 0.01). Compared with the fetal fraction of 14.38% in the group of 18-24 years old, the fetal fraction in the maternal age group of 25-29 years old group (13.98%) (P < 0.05), 30-34 years old group (13.18%) (P < 0.01), 35-39 years old group (12.34%) (P < 0.01), and ≥ 40 years old (11.90%) group (P < 0.01) decreased significantly. CONCLUSIONS: The percentage of fetal fraction significantly increased with increase of gestational age. Decreased fetal fraction with increasing maternal BMI was found. Maternal age was also negatively related to the fetal fraction.

Maternal BMI at the time of birth and selected risk factors associated with severe neonatal outcomes: a secondary analysis of the WHO Better Outcomes in Labour Difficulty (BOLD) project.

The main objective of this secondary analysis was to describe the nutritional status of the Better Outcomes in Labour Difficulty (BOLD) project study population and determine possible associations between maternal nutritional status (as reflected by maternal BMI at the time of birth) and severe neonatal outcomes (SNO). We also analysed previous and index maternal pathologies to determine associations with neonatal outcomes. We used the classification designed by Atalah for maternal BMI and compared with the Hyperglycaemia and Adverse Pregnancy Outcome study one. To describe the nutritional status of this population, figures of distribution and test of normality related to weight and BMI were presented for the women and their babies. To explore the association between maternal BMI data and SNO, the χ2 test was performed. To identify a maternal characteristic or a group of characteristics that could predict SNO, we used Fisher's exact test using previous maternal pathology collected in the BOLD project as well as that in the index pregnancy. In this study, BMI at the time of birth was not associated with neonatal near miss or death. We found that previous maternal obesity, diabetes and chronic hypertension were associated with SNO. Maternal pathology in the index pregnancy such as other obstetric haemorrhage, pre-eclampsia, anaemia and gestational diabetes was associated with SNO.

Maternal body mass index and risk of neonatal adverse outcomes in China: a systematic review and meta-analysis.

BACKGROUND: Maternal body mass index is linked to short- and long-term unfavorable health outcomes both for child and mother. We conducted a systematic review and meta-analysis of population-based cohort studies to evaluate maternal BMI and the risk of harmful neonatal outcomes in China. METHODS: Six databases identified 2454 articles; 46 met the inclusion criteria for this study. The dichotomous data on maternal BMI and harmful neonatal outcomes were extracted. Pooled statistics (odds ratios, ORs) were derived from Stata/SE, ver. 12.0. Sensitivity analyses assessed the robustness of the results. Meta-regression and subgroup meta-analyses explored heterogeneity. RESULTS: The meta-analysis revealed that compared with normal BMI, high maternal BMI is associated with fetal overgrowth, defined as macrosomia ≥4000 g (OR 1.91, 95% CI 1.75-2.09); birth weight ≥ 90% for gestational age (OR 1.88, 95% CI 1.64-2.15); and increased risk of premature birth (OR 1.38, 95% CI 1.25-2.52) and neonatal asphyxia (OR 1.74, 95% CI 1.39-2.17). Maternal underweight increased the risk of low birth weight (OR 1.61, 95% CI 1.33-1.93) and small for gestational age (OR 1.75, 95% CI 1.51-2.02). CONCLUSIONS: Raised as well as low pre-pregnancy BMI is associated with adverse neonatal outcomes. Management of weight during pregnancy might help reduce their adverse neonatal outcomes in future intervention studies or programmes.

Increased body mass index associated with increased preterm delivery in frozen embryo transfers.

The present study was performed to investigate whether maternal body mass index (BMI) affected the live birth (LB) outcomes of frozen embryo transfers (FET) in patients who underwent freeze-all treatment cycles. The autologous intracytoplasmic sperm injection (ICSI) cycles with blastocyst freeze-all cycles performed between February 2015 and January 2016 were retrospectively investigated. The 1188 subsequent FET performed were grouped according to maternal BMI classes for analysis; underweight (<18.5 kg/m2; 3.5%), normal-weight (18.5-24.9 kg/m2; 40.1%), overweight (25.0-29.9 kg/m2; 33.7%), or obese (classes I-III; ≥30.0 kg/m2; 22.8%). Uni- and multivariate analyses were performed, with LB as the primary outcome measure. In the categorical analyses of only the single blastocyst transfers (SBT), positive pregnancy (PP), LB and total pregnancy loss (totPL) rates were similar in the maternal BMI classes; however, the preterm delivery (PTD) rate in the obese class was significantly higher. In the multiple logistic regression models, maternal age was the most significant predictor of LB (OR = 0.9, 95%CI (0.90-0.98), p = .006) and the maternal BMI was the most significant predictor of PTD (OR = 1.1, 95% CI (1.02-1.14), p = .010). In conclusion, maternal BMI was the most significant variable in the outcome of PTD, with obese female patients at an increased risk of PTD. Impact statement What is known already? Obesity is rising worldwide to epidemic proportions and is expected to continue rising in the foreseeable future. Overweight and obesity not only increases the morbidity and mortality in the female populations but also significantly increases the risks of infertility in the women of reproductive age. Body mass index (BMI) has been the most widely used measure to describe the body weight of infertile patients. What do the results of this study add? Underweight, overweight and obesity do not significantly contribute to live birth outcomes. Maternal BMI was a significant predictor of PTD, with obesity most significantly at risk of PTD. What are the implications of these findings for clinical practice and/or further research? The evidence suggests that the weight management policy remain unchanged in IVF practice, with weight loss recommended for both young and ageing infertile patients. Performing a 'therapeutic' freeze-all IVF in the patients with weight-associated infertility may be a more suitable treatment strategy.

To what extent does maternal body mass index predict intentions, attitudes, or practices of early infant feeding?

Public health guidelines recommend women establish and maintain exclusive breastfeeding to 6 months postpartum. Women with a body mass index (BMI, kg/m2 ) in the overweight or obese range are less likely to initiate and continue breastfeeding than healthy weight women. Evidence for psychological mechanisms of this association using validated methods of measurement is limited, but factors such as attitudes and intentions for infant feeding are implicated. This study aimed to investigate the associations between maternal BMI, antenatal attitudes and intentions for infant feeding, and subsequent breastfeeding practices. A total of N = 128 women completed an online questionnaire antenatally, and n = 48 were followed-up in the first month postpartum. Validated measures of intentions (Infant Feeding Intentions Scale) and attitudes (Iowa Infant Feeding Attitude Scale) for infant feeding were used. One-way analysis of variance and multivariate regression analyses assessed study objectives. Infant feeding attitudes (p = .327) and intentions (p = .254) were similar among healthy weight, overweight, and obese women and did not differ significantly. In adjusted regression models, only intentions significantly predicted early breastfeeding behaviour (p = .036; AR2  = .301). Missing data analysis revealed no significant differences in the profile of completing versus noncompleting women. Evidence suggests postnatal factors contribute significantly to lower breastfeeding rates in cohorts of women with overweight or obese BMIs. Further investigations should consider using theory and methods from behavioural science to longitudinally investigate modifiable mechanisms of action responsible for lower breastfeeding rates among overweight and obese women to inform practices that support prolonged breastfeeding.

Socio-economic status and maternal BMI are associated with duration of breast-feeding of Norwegian infants.

OBJECTIVE: To explore whether there is an association between socio-economic status and maternal BMI and duration of any breast-feeding/exclusive breast-feeding among Norwegian infants at 4 and 5 months of age in 2016. DESIGN: Cross-sectional design. Baseline data from a randomized controlled trial. Data concerning breast-feeding were collected by FFQ. SETTING: Recruitment was done at child health-care centres and through Facebook in 2016. In total, 960 infants/parents registered for participating in the study Early Food for Future Health. SUBJECTS: A total of 715 infant/mother dyads completed the questionnaire when the child was between 5 and 6 months old. RESULTS: At 5 months of age, 81·0 % of infants were breast-fed and 16·4 % were exclusively breast-fed. Infants of highly educated mothers had higher odds of being breast-fed at 5 months compared with infants of mothers with less education. Infants of multiparous mothers had higher odds of being exclusively breast-fed for the first 5 months compared with infants of mothers with one child. Infants of mothers with overweight/obesity had reduced odds of both being breast-fed at all and being exclusively breast-fed at 4 months of age compared with infants of mothers with normal BMI. CONCLUSIONS: Our results show that duration of breast-feeding varies with socio-economic status and maternal BMI in Norway. Targeting groups with low socio-economic status and mothers with overweight or obesity is important, as they are less likely to breast-feed according to recommendations.

Birth risks according to maternal height and weight - an analysis of the German Perinatal Survey.

Objective To investigate the variability in the prevalences of selected birth risks in women of different heights and weights. Methods Data from the German Perinatal Survey of 1998-2000 were analyzed: 503,468 cases contributed to our analysis of the prevalences of selected birth risks specified according to maternal weight groups, 502,562 cases contributed to our analysis according to maternal height groups and 43,928 cases contributed to our analysis of birth risks in women with a body mass index (BMI) of 21-23 kg/m2 but different heights and weights. Data analysis was performed using SPSS version 22. Results Some birth risks varied substantially by maternal height in women with a "normal" BMI of 21-23 kg/m2: the prevalence of post-term birth increased from 8.7% in women with a height of 150 cm to 13.5% in 185 cm tall women, the prevalence of preterm birth decreased from 5.9% (150 cm tall women) to 3.1% (185 cm tall women), a pathologic cardiotocography (CTG) or poor fetal heart sounds on auscultation occurred in 19.4% of the 150 cm tall women but only in 9.2% of 185 cm tall women and cephalopelvic disproportion decreased from 12.3% (150 cm tall women) to 1.2% (185 cm tall women). Analyses of women in different body height and weight groups (without restriction of BMI) likewise showed differences in the prevalences of some birth risks. Conclusion Birth risks may vary by height and weight in women with the same, "normal" BMI. BMI should not be the only way by which the impact of maternal height and weight is assessed with regard to perinatal outcomes such as birth risks.

Effect of maternal age, height, BMI and ethnicity on birth weight: an Italian multicenter study.

AIM: To assess the effect of maternal age, height, early pregnancy body mass index (BMI) and ethnicity on birth weight. SUBJECTS AND METHODS: A cross-sectional study was conducted on more than 42,000 newborns. Ethnicity was defined by maternal country of birth or, when missing (<0.6% of records), by citizenship. The effect of maternal characteristics on birth weight was evaluated with general linear models. RESULTS: Maternal height and BMI, although not age, significantly affected birth weight. Among Italian babies, 4.7% of newborns were classified as appropriate-for-gestational age (AGA) (birth weight between the 10th and the 90th centile) according to the country-specific Italian Neonatal Study (INeS) charts and were re-classified as either large-(LGA) (birth weight >90th centile) or small-(SGA) (birth weight <10th centile) for gestational age (GA) after adjustment for maternal characteristics. On the contrary, 1.6% of Italian newborns were classified as SGA or LGA according to the INeS charts and re-classified as AGA after adjustment. Maternal ethnicity had a significant impact on birth weight. Specifically, babies born to Senegalese mothers were the lightest, whilst babies born to Chinese mothers were the heaviest. CONCLUSIONS: Maternal height and early pregnancy BMI, should be considered in the evaluation of birth weight. The effect of ethnicity suggests the appropriateness of ethnic-specific charts. Further studies are necessary to determine if changes in birth weight classification, may translate into improved detection of subjects at risk of adverse outcomes.

Associations of maternal BMI and insulin resistance with the maternal metabolome and newborn outcomes.

AIMS/HYPOTHESIS: Maternal obesity increases the risk for large-for-gestational-age birth and excess newborn adiposity, which are associated with adverse long-term metabolic outcomes in offspring, probably due to effects mediated through the intrauterine environment. We aimed to characterise the maternal metabolic milieu associated with maternal BMI and its relationship to newborn birthweight and adiposity. METHODS: Fasting and 1 h serum samples were collected from 400 European-ancestry mothers in the Hyperglycaemia and Adverse Pregnancy Outcome Study who underwent an OGTT at ∼28 weeks gestation and whose offspring had anthropometric measurements at birth. Metabolomics assays were performed using biochemical analyses of conventional clinical metabolites, targeted MS-based measurement of amino acids and acylcarnitines and non-targeted GC/MS. RESULTS: Per-metabolite analyses demonstrated broad associations with maternal BMI at fasting and 1 h for lipids, amino acids and their metabolites together with carbohydrates and organic acids. Similar metabolite classes were associated with insulin resistance with unique associations including branched-chain amino acids. Pathway analyses indicated overlapping and unique associations with maternal BMI and insulin resistance. Network analyses demonstrated collective associations of maternal metabolite subnetworks with maternal BMI and newborn size and adiposity, including communities of acylcarnitines, lipids and related metabolites, and carbohydrates and organic acids. Random forest analyses demonstrated contribution of lipids and lipid-related metabolites to the association of maternal BMI with newborn outcomes. CONCLUSIONS/INTERPRETATION: Higher maternal BMI and insulin resistance are associated with broad-based changes in maternal metabolites, with lipids and lipid-related metabolites accounting, in part, for the association of maternal BMI with newborn size at birth.

Maternal prepregnancy body mass index and offspring attention-deficit/hyperactivity disorder: a quasi-experimental sibling-comparison, population-based design.

BACKGROUND: High maternal prepregnancy body mass index (BMI) has been associated with increased risk of offspring attention-deficit/hyperactivity disorder (ADHD). However, whether this effect is attributable to maternal or familial level confounds has been little examined. METHODS: The present study sought to examine these associations, utilizing data from the medical records of a health care system which treats 350,000 patients annually and a sibling-comparison design in a sample of 4,682 children born to 3,645 mothers. RESULTS: When examining the overall maternal effect, a linear association was observed between maternal prepregnancy BMI and child ADHD [b = 0.04, 95% confidence interval (95% CI) = 0.02-0.06, p = .0003], such that a one-unit (i.e. 1 kg/m2 ) increase in prepregnancy BMI was associated with a 4% increase in the odds of ADHD (exp b = 1.04). However, when the model was reparameterized to take full advantage of the sibling design to allow for the examination of both maternal and child-specific effects, the child-specific prepregnancy BMI effect was not reliably different from zero (b = -0.08, 95% CI = -0.23 to 0.06, p = .24). In contrast, at the maternal-level, average prepregnancy BMI was a reliably non-zero predictor of child ADHD (b = 0.04, 95% CI = 0.02-0.06, p < .0001) with each one-unit increase in maternal prepregnancy BMI associated with a 4.2% increase in the odds of ADHD (exp b = 1.04, 95% CI = 1.02-1.06). CONCLUSIONS: The association between maternal prepregnancy BMI and offspring ADHD may be better accounted for by familial or maternal confounds rather than a direct causal effect of BMI.