Pre-pregnancy Body Mass Index Research Articles

Correlation between Overweight, Obesity, Gestational Diabetes Mellitus, Adipokines (Adipolin and Adiponectin), and Adverse Pregnancy Outcomes: A Pilot Study.

Background: The prevalence of overweight (OW), obesity (OB), and gestational diabetes mellitus (GDM) has been increasing worldwide in recent years. Adipolin is a new adipokine with reduced circulating levels in obesity and type 2 diabetes mellitus (T2DM). Objectives: Our prospective case-control study aimed to evaluate the maternal serum levels of adipolin and adiponectin, metabolic parameters, and anthropometric characteristics at the time of oral glucose tolerance test (OGTT) in pregnant women with a pre-pregnancy body mass index (BMI) ≥ 25 Kg/m2 and correlate them with newborn adipolin, adiponectin levels, and anthropometric characteristics of the newborns, and secondly to evaluate pregnancy outcomes. Material and Methods: After the OGTT results, we had 44 OW/OB pregnant women with GDM, 30 OW/OB pregnant women without GDM, and 92 lean healthy (LH) pregnant women. Data were analyzed by ANOVA and correlation tests, with a p-value < 0.05 considered significant. Results: We found no differences between adipolin values of the OW/OB pregnant women with GDM and the LH group (p > 0.99), OW/OB without GDM and the LH group (p = 0.56), and between OW/OB groups (p = 0.57). OW/OB pregnant women with GDM had a higher rate of gestational hypertension compared with the LH group (p < 0.0001). Newborns from OW/OB pregnant women with GDM were more frequently diagnosed with jaundice (p = 0.02), and they required more frequent admission to the neonatal intensive care unit (NICU) for treatment of respiratory distress (p = 0.01) compared with newborns from LH mothers. Conclusions: Our study revealed that the serum levels of adipolin in the second trimester among the group of OW/OB pregnant women with GDM, matched for age and BMI with OW/OB pregnant women without GDM, were not significantly different. This suggests that adipolin may not play an essential role in the occurrence of GDM in these patients. Despite good glycemic control during pregnancy, OW/OB pregnant women with GDM and their newborns tend to have more complications (gestational hypertension, jaundice, NICU admission) than LH pregnant women and their newborns, highlighting the importance of weight control before pregnancy.

Impact of body mass index and gestational weight gain on cesarean delivery rates: a comparative study of dinoprostone-induced vs spontaneous labor.

This study investigates the relationship between pre-pregnancy body mass index (BMI), BMI before labor, and weight gain during pregnancy with the incidence of cesarean delivery (CD) in dinoprostone-induced labor versus spontaneous labor. This retrospective analysis was carried out at the Jagiellonian University Hospital's Obstetrics and Perinatology Department, encompassing term singleton pregnancies from May 2019 to February 2021. BMI was categorized following WHO guidelines. Gestational weight gain was assessed against the Institute of Medicine's 2009 recommendations. Of the 366 cases reviewed, 183 were in the dinoprostone-induced labor group, and 183 were in the spontaneous labor group. The study identified a significant association between higher pre-pregnancy BMI and increased weight gain during pregnancy with elevated CD rates, especially in dinoprostone-induced labor compared to spontaneous labor. Specifically, the dinoprostone-induced labor group showed a 33.9% CD rate compared to 16.9% in the spontaneous labor group. Logistic regression analysis further established that for each 1 kg/m² increase in pre-pregnancy BMI, the odds of undergoing a CD increased by 10%. Elevated pre-pregnancy BMI and excessive gestational weight gain significantly heighten the risk of cesarean delivery, particularly in induced labor. The findings underline the need for individualized labor management strategies for women with higher BMI to optimize maternal and neonatal outcomes.

Characteristics and pregnancy outcomesofsubtypes of gestational diabetes mellitusbased on HOMA-IR and BMI.

To identify the characteristics and pregnancy outcomes across different subgroups of gestational diabetes mellitus (GDM) categorized by insulin resistance index and body mass index (BMI) in early pregnancy. This retrospective study included 1804 women who underwent a 75g-OGTT during 22-28weeks of gestation, categorized into normal glucose tolerance (NGT) (1487) and GDM (317 [17.57%] of the total cohort). Metabolic parameters were assessed, and equation of homeostatic model assessment (HOMA) were utilized to compute indices of insulin resistance (HOMA-IR), β-cell secretory (HOMA-B), and insulin sensitivity (HOMA-%S) in early and mid-pregnancy. The cut-off value of HOMA-IR (1.61) in early pregnancy was determined via ROC curve analysis. This value, combined with pre-pregnancy BMI, further categorized NGT and GDM into six subgroups respectively, based on HOMA-IR levels (≥ 1.61 or < 1.61) and BMI categories (< 18.5kg/m2, 18.5-25kg/m2, or ≥ 25kg/m2). In comparison to women with NGT, those with GDM were notably older, had higher pre-BMI, fasting plasma glucose (FPG), insulin, and lipid levels in early pregnancy. They also exhibited more pronounced insulin resistance in both early and mid-pregnancy, leading to poorer outcomes. Following an oral glucose load, the peaks of glucose and insulin were out of sync in GDM and its subgroups, accompanied by further increases in HOMA-IR, HOMA-B, and a decrease in HOMA-%S, except for the GDM subgroup with HOMA-IR < 1.61/BMI < 18.5kg/m2. Conversely, glucose and insulin secretion in NGT and its subgroups peaked synchronously at 60min. GDM women with HOMA-IR ≥ 1.61/18.5kg/m2 ≤ BMI < 25kg/m2 had higher rates of neonatal jaundice (34.5% vs 13.9%, p < 0.0001), LGA (28.9% vs 13.2%, p = 0.001), macrosomia (9.8% vs 3.7%, p = 0.025) compared to peers, while in GDM women with HOMA-IR ≥ 1.61/BMI ≥ 25kg/m2, the rates of LGA and macrosomia were 26.6% and 8.4%, respectively. The GDM subgroup with HOMA-IR < 1.61/BMI < 18.5kg/m2 exhibited the highest rates of premature rupture of membrane (46.7%) and postpartum hemorrhage (20%), predominantly with vaginal delivery and a 1min Apgar score of 4.5% in GDM women with HOMA-IR < 1.61/18.5kg/m2 ≤ BMI < 25kg/m2. GDM and its subgroups displayed severe insulin resistance and poorer insulin sensitivity, leading to an increased risk of adverse pregnancy outcomes. GDM women with higher IR and normal or over weight were more likely to experience LGA and macrosomia, while those with lower IR and underweight were prone to premature rupture of membrane and postpartum hemorrhage during vaginal delivery.

Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS). A multicenter analysis including all cases of PAS identified by pathology specimen confirmation, across five tertiary care perinatal centers in New York City from 2013 to 2022. We developed models to predict operative morbidity using 213 variables including demographics, obstetrical information, and limited prenatal imaging findings detailing placental location. Our primary outcome was prediction of a surgical morbidity composite defined as including any of the following: blood loss (>1,500 mL), transfusion, intensive care unit admission, vasopressor use, mechanical ventilation/intubation, and organ injury. A nested, stratified, cross-validation approach was used to tune model hyperparameters and estimate generalizability. Gradient boosted tree classifier models incorporated preprocessing steps of standard scaling for numerical variables and one-hot encoding for categorical variables. Model performance was evaluated using area under the receiver operating characteristic curve (AUC), positive and negative predictive values (PPV, NPV), and F1 score. Variable importance ranking was also determined. Among 401 PAS cases, 326 (81%) underwent hysterectomy. Of the 401 cases of PAS, 309 (77%) had at least one event defined as surgical morbidity. Our predictive model had an AUC of 0.79 (95% confidence interval: 0.69, 0.89), PPV 0.79, NPV 0.76, and F1 score of 0.88. The variables most predictive of surgical morbidity were completion of a hysterectomy, prepregnancy body mass index (BMI), absence of a second trimester ultrasound, socioeconomic status zip code, BMI at delivery, number of prenatal visits, and delivery time of day. By identifying social and obstetrical characteristics that increase patients' risk, ML models are useful in predicting PAS-related surgical morbidity. Utilizing ML could serve as a foundation for risk and complexity stratification in cases of PAS to optimize surgical planning. · ML models are useful models are useful in predicting PAS-related surgical morbidity.. · Optimal management for PAS remains unclear.. · Utilizing ML can serve as a foundation for risk and complexity stratification in cases of PAS..

Neonatal and Maternal Outcomes in Nulliparous Individuals according to Prepregnancy Body Mass Index.

This study aimed to examine the effect of incremental changes in body mass index (BMI, kg/m2) on the association with adverse pregnancy outcomes. This was a retrospective cohort study of U.S. vital statistics Live Birth and Infant Death linked data from 2011 to 2020. We limited analyses to nulliparas with singleton pregnancies who delivered at 20 weeks or greater. Outcomes were compared according to the prepregnancy BMI category using 5 kg/m2 increments, with each of the other BMI categories sequentially as the referent. The composite neonatal outcome was defined as any neonatal death, neonatal intensive care unit (ICU), surfactant use, ventilation use, or seizure. Severe maternal morbidity was defined as any maternal ICU, transfusion, uterine rupture, and hysterectomy. Adjusted relative risks were calculated for each BMI category as a referent group, using modified Poisson regression and adjusting for confounders. A total of 11,174,890 nulliparous individuals were included. From 2011 to 2020, the proportions of individuals with BMI 40 or greater, BMI 50 or greater, and BMI 60 or greater increased significantly (from 3.1 to 4.9%, from 0.4 to 0.6%, from 0.03 to 0.06%, respectively; all trend p-values < 0.001). As BMI deviated from normal BMI, risks of neonatal and maternal adverse outcomes increased progressively. For example, as BMI deviated from normal BMI (18.5-24.9), the risk of composite neonatal outcome increased by 2% in individuals with BMI < 18.5 and up to 2.11-fold in individuals with BMI 65-69.9. When compared with BMI 40 to 44.9, BMI 35 to 39.9 was associated with an 8% decreased risk of composite neonatal outcome, whereas BMI 45 to 49.9 was associated with an 8% increased risk of composite neonatal outcome. Incremental increases in prepregnancy BMI are linked to higher risks of adverse pregnancy outcomes, highlighting the need for effective weight management before conception. · Incremental BMI increases raise pregnancy risks.. · Higher BMI linked to adverse neonatal outcomes.. · Elevated BMI heightens severe maternal morbidity..

Association between interpreter use and small for gestational age infants

BackgroundLimited English proficiency is associated with worse health outcomes regardless of health literacy. Prior research suggests that using interpreter services for low English proficiency helps mitigate the language barrier, is associated with improved health outcomes, and patient satisfaction; however, obstetric and neonatal outcomes and pregnancy risks in this population are not well studied. ObjectivesThe primary purpose of this study was to determine if low English proficiency is an independent risk factor for small for gestational age infants by utilizing interpreter use as a proxy for low English proficiency. Due to the known challenges in communication with a language barrier and discrimination against people whose first language is not English, we hypothesized that this could result in an increase in high risk conditions in pregnancy such as SGA. Our hypothesis was that the need for an interpreter would be associated with having small for gestational age infants. Study DesignWe performed a retrospective cohort study at a single center using data between 1/1/2016 and 12/31/2021; we included singleton, live births ≥ 21 weeks gestation. We excluded multiple gestations, intrauterine fetal demise, and delivery < 21 weeks. The primary outcome was rate of small for gestational age. Small for gestational age was defined as birthweight < 10th percentile for gestational age using the 2018 Fenton newborn growth curve. Multivariable logistic regression was performed to control for confounding variables. ResultsOf the 26,260 patients included in the study, 71.3% were non-Hispanic White, 9.5% were Hispanic/Latino, and 7.9% were non-Hispanic Black. Overall, 1,662 (6.3%) patients utilized an interpreter. Over half (58.0%) of patients requesting interpreter services were Hispanic. In unadjusted analyses, the rate of small for gestational age was not different between patients who used interpreter services (n=106, 6.4%) and those who did not (n=1612, 6.6 %), P=.779. After adjusting for race/ethnicity, gravidity, gestational age, private insurance, diabetes, hypertension, and prepregnancy body mass index, the use of interpreter services was associated with decreased odds of small for gestational age (aOR 0.67, 95% CI 0.53–0.84). ConclusionsOur findings suggest that use of an interpreter is associated with a lower incidence of small for gestational age when controlling for patient characteristics and social determinants of health. Additional research is required to explore this association, but our results indicate that recognizing demographic risk factors and providing patients with social resources such as access to interpreter services may positively impact obstetric and neonatal outcomes.

Readiness for behaviour change after gestational diabetes mellitus: A prospective cohort study.

Women with gestational diabetes mellitus (GDM) have a high risk of developing type 2 diabetes (T2D). Readiness for behaviour change to mitigate this risk may be low after pregnancy and may further decrease over time without appropriate interventions. This study aimed to evaluate readiness for behaviour change in the first and second postpartum years in women with recent GDM to determine the best timing for lifestyle interventions to prevent T2D. This study included a subset of women with GDM between 2009 and 2013 in Ontario, Canada from a larger prospective cohort study who completed a survey in the first and second postpartum years (N = 329). The primary outcome was stage of readiness for behaviour change for diet and physical activity, compared between the first and second postpartum years. The mean age was 34.3 ± 4.4 standard deviation (SD) years and mean pre-pregnancy body-mass index (BMI) was 26.7 ± 6.9 kg/m2. In the first postpartum year, 86% of women reported a pre-action stage of change, which was 87% by the second postpartum year (p = 0.646). Non-Caucasian ethnicity was associated with lower odds of being in the action stage of readiness for behaviour change overall and for physical activity in both time periods. Most postpartum women with recent GDM are in a pre-action stage of change after delivery, which does not increase by the second postpartum year. Behavioural interventions should continue to be prioritized in postpartum women with GDM to optimize this slim window of opportunity for T2D prevention.

Protective Eating Behaviors Among Children at Higher Risk for Obesity in the INSIGHT Study.

Background: Maternal pre-pregnancy body mass index (BMI) is positively associated with offspring overweight. We investigated behaviors that may confer resilience to childhood overweight development by examining appetitive traits in at-risk children born to mothers with pre-pregnancy overweight. Methods: This secondary analysis included children born to mothers with pre-pregnancy BMI ≥25 kg/m2 from the Intervention Nurses Start Infants Growing on Health Trajectories Study (N = 84). Mothers completed the Child Eating Behavior Questionnaire (CEBQ) at child ages 30 months and 6 years. t-tests assessed differences in appetitive traits (CEBQ subscale scores) between children with overweight (BMI ≥85th percentile) and without overweight (BMI <85th percentile). Results: The 87 children (41 female [47%]) included in this analysis were predominantly White and non-Hispanic (93%), and 34 (39%) had overweight at age 6 years. Compared with children with overweight, children without overweight had mothers who reported greater child slowness in eating when their child was 30 months (p = 0.04) and 6 years old (p = 0.004). Similarly, mothers of children without overweight reported higher child satiety responsiveness, lower enjoyment of food, and lower food responsiveness (p < 0.001 for all) when their child was 6 years old. Conclusion: Eating slower, higher satiety responsiveness, lower enjoyment of food, and lower food responsiveness were protective factors against developing overweight among those with familial risk. Strategies to promote the development of slower eating and satiety responsiveness could be explored as part of obesity prevention strategies.

Maternal glucose homeostasis during pregnancy in women with overweight or obesity and offspring metabolic health

Gestational diabetes mellitus (GDM) adversely affects offspring glucose homeostasis and risk of developing obesity. Here, we examined the association between glycemia in pregnant women with overweight or obesity without GDM and offspring metabolic health. Maternal fasting glucose concentrations and glucose 2-h after an oral glucose tolerance test (OGTT) were measured in 208 women with a pre-pregnancy body mass index (BMI) of 28–45 kg/m2 without GDM. Offspring outcomes were collected at birth, 3, and 5 years of age. Linear mixed models with time as fixed factor and subject ID as random effects were used for analysis. No associations were found between maternal fasting or 2-h glucose concentrations with offspring glucose and insulin concentrations from birth to 5 years of age. However, maternal fasting glucose in GW 28 and 36, and 2-h OGTT glucose in GW 28 were positively associated with C-peptide concentration at birth. Maternal fasting glucose concentrations in GW 28 and 36 were positively associated with weight-for-length, and maternal fasting glucose in GW 36 was associated with BMI z-score at birth. In summary, blood glucose in pregnant women with overweight or obesity is positively associated with offspring C-peptide concentration, weight-for-length, and BMI z-score at birth, even in the absence of GDM.

Iron status and anemia in a representative sample of US pregnant women is not associated with pre-pregnancy BMI: Results from the NHANES (1999-2010) study.

Iron deficiency in pregnancy is related to many poor health outcomes, including anemia and low birth weight. A small number of previous studies have identified maternal body mass index (BMI) as a potential risk factor for poor iron status. Our objective was to examine the association between pre-pregnancy BMI, iron status, and anemia in a nationally representative sample of US adult women. We used data from the National Health and Nutrition Examination Survey (NHANES; 1999-2010) for pregnant women ages 18-49 years (n = 1156). BMI (kg/m2) was calculated using pre-pregnancy weight (self-reported) and height (measured at examination). Iron deficiency (ID) was defined as total body iron (calculated from serum ferritin and transferrin receptor using Cook's equation) < 0 mg/kg and anemia as hemoglobin < 11 g/dL. Associations were examined using weighted linear and Poisson regression models, adjusted for confounders (age, race/ethnicity, education, and trimester). Approximately 14% of pregnant women had ID and 8% had anemia in this sample. Ferritin and total body iron trended slightly lower (p = 0.12, p = 0.14) in women with pre-pregnancy BMI in the normal and overweight categories compared to the underweight and obese categories; hemoglobin concentrations were similar across BMI groups (p = 0.76). There were no differences in the prevalence of ID or anemia in women with pre-pregnancy overweight and obesity (ID: overweight, adjusted prevalence ratio (PR) = 1.27, 95%CI: 0.89-1.82; obesity, PR = 0.75, 95%CI: 0.39-1.45; anemia: overweight, PR = 1.08, 95%CI: 0.53-2.19; obesity, PR = 0.99, 95%CI: 0.49-2.01) compared to women with a normal BMI. Findings from these US nationally representative data indicate that total body iron, serum hemoglobin, ID, and anemia in pregnancy do not differ by pre-pregnancy BMI. Since ID and anemia during pregnancy remain significant public health concerns, NHANES should consider measuring current iron status in upcoming cycles.

Seeking the optimal gestational weight gain according to the pre-pregnancy body mass index: a cross-sectional study from Shanghai, China.

Maternal nutritional status is closely related to fetal intrauterine development and an abnormal birth weight increases various disease risks across life stages. To better guide pregnancy weight gain, we aimed to explore the optimal weight gain for pregnant women with different body mass indexes (BMIs). This retrospective cohort study included 68,981 women with singleton live birth between January 2017 and October 2021 in maternity centres in Shanghai, China. The fluctuations of the incidence of small and large for gestational age (small for gestational age (SGA) and LGA, respectively) were recorded at different maternal pre-pregnancy BMI (p-BMI) and different gestational weight gain (GWG) groups to find the lowest point of abnormal fetal weight incidence. The optimal GWG was then determined using a linear regression equation. The lowest risk of LGA/SGA was associated with a maternal p-BMI of 19.46 kg/m2. For pregnant women with maternal p-BMI below 24 kg/m2, we confirmed an optimal GWG linear equation: opt GWG (kg) = -1.94 × p-BMI (kg/m²) + 51, which showed an excellent degree of fit. Women who were overweight and obese could not achieve the lowest risk of LGA/SGA despite controlling their GWG; hence, their BMI should be normalized before pregnancy. By merely using the pre-pregnancy BMI, this study has established the optimal GWG equation, with the goal of achieving the appropriate fetal gestational age. It is a practical measure to ensure desirable pregnancy outcomes and meet the health economics requirements.

Congenital Anomalies among Offspring of Women Living in Low Socioeconomic Status Neighborhoods or Hispanic/Latino Enclaves, Texas, 1999-2018

Objectives and ApproachNeighborhood influences pregnancy outcomes through effects on maternal health. We evaluated prevalence of &gt;140 congenital anomalies monitored by the population-based Texas Birth Defects Registry among residents of Hispanic/Latino enclaves (census tracts with high proportions of Hispanic/Latino residents, immigrants, and Spanish-speaking households) and tracts with low socioeconomic status (low nSES). We included all cases regardless of pregnancy outcome (1999-2018) and a reference population of all livebirths, identified by linkage to Texas vital records. We calculated Yost socioeconomic index and Hispanic/Latino enclave index scores using linked U.S. Census Bureau data. We used Poisson regression to estimate the prevalence ratio (PR) and 95% confidence interval of anomalies among residents of: low nSES/enclave (34.5%); low nSES/non-enclave (25.6%); high nSES/enclave (4.6%); and high nSES/non-enclave (referent; 35.3%) tracts. We adjusted for maternal age, education, race/ethnicity, parity, and pre-pregnancy body mass index. ResultsLow nSES was associated with microcephaly, pulmonary artery anomalies, atrial septal defect, and Down syndrome (PRs 1.1-1.6), and inversely associated with hypospadias and other male genital anomalies (PRs 0.8-0.9). Offspring of women in low nSES enclaves were at increased risk of several congenital heart defects relative to those in other neighborhoods. Conversely, prevalence of hypospadias was lowest among offspring of women in low nSES enclaves. ConclusionsLinkage between a population-based registry, vital records, and Census Bureau data revealed novel associations between neighborhood characteristics and congenital anomalies. ImplicationsFurther research is warranted to understand mechanisms linking neighborhood factors to congenital anomalies.

Association of free fatty acid in first trimester with the risk of gestational diabetes mellitus: a nested case-control study

BackgroundAccumulating evidence shows that free fatty acids (FFA) are associated with gestational diabetes mellitus (GDM). However, most of the studies focus on a few specific types of FFA, such as α-linolenic acid (C18:3n3) and Arachidonic acid (C20:4n6) or a total level of FFA.ObjectiveThis study aimed to test the association between a variety of FFAs during the first trimester and the risk of GDM.MethodsThe participants came from the Zhoushan Pregnant Women Cohort (ZWPC). A 1:2 nested case-control study was conducted: fifty mothers with GDM were matched with 100 mothers without GDM by age, pre-pregnancy body mass index (BMI), month of oral glucose tolerance test (OGTT) and parity. Thirty-seven FFAs (including 17 saturated fatty acids (SFA), 8 monounsaturated fatty acids (MUFA), 10 polyunsaturated fatty acids (PUFA) and 2 trans fatty acids (TFA)) in maternal plasma during the first trimester were tested by Gas Chromatography–Mass Spectrometry (GC-MS). Conditional logistic regression models were performed to assess the associations of FFA with the risk of GDM.ResultsNine FFAs were respectively associated with an increased risk of GDM (P < 0.05), and four FFAs were respectively associated with a decreased risk of GDM (P < 0.05). SFA risk score was associated with a greater risk of GDM (OR = 1.34, 95% CI: 1.12–1.60), as well as UFA risk score (OR = 1.26, 95% CI: 1.11–1.44), MUFA risk score (OR = 1.70, 95%CI: 1.27–2.26), PUFA risk score (OR = 1.32, 95%CI: 1.09–1.59) and TFA risk score (OR = 2.51, 95%CI: 1.23–5.13). Moreover, joint effects between different types of FFA risk scores on GDM were detected. For instance, compared with those with low risk scores of SFA and UFA, women with high risk scores of SFA and UFA had the highest risk of GDM (OR = 8.53, 95%CI: 2.41–30.24), while the Odds ratio in those with a low risk score of SFA and high risk score of UFA and those with a high risk score of SFA and low risk score of UFA was 6.37 (95%CI:1.33– 30.53) and 4.25 (95%CI: 0.97–18.70), respectively.ConclusionMaternal FFAs during the first trimester were positively associated with the risk of GDM. Additionally, there were joint effects between FFAs on GDM risk.CondensationElevated FFA levels in the first trimester increased the risk of GDM.

Comparative influence of inappropriate gestational weight gain on pregnancy outcomes in IVF-conceived and spontaneously conceived twin pregnancies.

To investigate the influence of inappropriate gestational weight gain (GWG) on pregnancy outcomes in twin pregnant women with invitro fertilization (IVF) treatment. This retrospective cohort study included 2992 twin pregnant women and categorized the participants as follows: (i) they were classified into spontaneous conception (SC) or IVF groups based on whether they received IVF treatment, and (ii) they were categorized into inadequate, optimal, or excessive GWG groups according to the International Organization for Migration Twin Pregnancy Guidelines. Initially, the study investigated the separate effects of IVF treatment and different levels of GWG on the outcomes of twin pregnancies. Subsequently, after adjusting for confounding factors, multifactorial logistic regression analysis was performed to further investigate the impact of IVF treatment and high GWG on twin pregnancy outcomes. Based on this, the analysis was stratified by whether IVF was used to explore the effects of different GWG levels on each subgroup (those who underwent IVF and those who conceived spontaneously). Finally, potential multiplicative interactions between IVF and different GWG categories were examined to identify their combined effect on pregnancy outcomes. The results showed that women with twin gestations conceived via IVF exhibited significantly higher maternal age, pre-pregnancy body mass index, and a greater incidence of GWG beyond recommended guidelines compared to the SC group. Furthermore, both IVF treatment and inappropriate GWG increased the risk of adverse pregnancy outcomes, respectively. Following adjustments for confounding variables through multifactorial logistic regression, it was demonstrated that both IVF treatment and high GWG significantly elevated the risk of adverse outcomes in twin pregnancies, such as admission to the neonatal intensive care unit. It is noteworthy that inappropriate GWG, combined with IVF treatment, will stepwise increase the incidence of intrahepatic cholestasis of pregnancy, respiratory failure, respiratory distress, pre-eclampsia, maternal intensive care unit admission, and postpartum hemorrhage risk. However, these outcomes were less affected by inappropriate GWG in the SC group. Lastly, this study did not unveil a significant interaction between the IVF procedure and disparate levels of GWG in relation to the adverse outcomes. A high incidence of inappropriate GWG in twin pregnancies with IVF treatment and inappropriate GWG conferred more adverse twin pregnancy outcomes in the IVF group relative to the SC group. This study indicates that proper management of GWG may be a breakthrough in reducing adverse outcomes in twin pregnancies associated with IVF. Therefore, implementing proactive interventions such as supervised exercise programs, prescribed physical or dietary plans, enhanced weight management, or personalized counseling, holds promise for lowering the risks associated with inappropriate GWG in twin pregnancies resulting from IVF.

Recruitment and retention of participants with obesity into a longitudinal birth cohort: the Breastfeeding and Early Child Health (BEACH) study.

The study aimed to evaluate how maternal pre-pregnant body mass index (BMI) impacts participant recruitment and retention. Participants were enrolled in a longitudinal study between 30 and 36 weeks of pregnancy as having normal weight (pre-pregnant BMI ≥ 18.5 and <25 kg/m2) or obesity (pre-pregnant BMI ≥ 30.0 kg/m2). Recruitment channels included Facebook, email, newspaper, phone calls, radio advertisements, flyers, and word-of-mouth. The stages of recruitment included eligibility, consent, and completion. Pearson's chi-square tests were used to evaluate the relationship between BMI and enrollment outcomes. Recruitment yielded 2770 total prospective participants. After screening, 141 individuals were eligible, 83 consented, and 60 completed the study. Facebook was the most successful method for identifying eligible pregnant patients with obesity, while a higher percentage of participants recruited through word-of-mouth and flyers consented to the study. Pre-pregnant BMI was significantly associated with the stage of recruitment completed by the participant (p = 0.04), whereby individuals eligible for the study with obesity were less likely to consent and complete study visits. We demonstrated that maternal obesity was significantly associated with enrollment outcomes in a longitudinal birth cohort study. This study showed that pre-pregnancy BMI influenced study participation. Therefore, tailored recruitment strategies to enhance the recruitment and enrollment of individuals with obesity in maternal-infant health research may be necessary.

Associations between prenatal loss of control eating and cardiovascular health during pregnancy.

Loss of control (LOC) eating (feeling unable to control food type/amount eaten) during pregnancy is common and linked to risk for poor cardiovascular health (CVH), but it is unclear whether prenatal LOC eating directly relates to CVH during pregnancy. The current study tested associations between prenatal LOC eating and CVH during pregnancy in a sample with prepregnancy body mass index (BMI) ≥ 25. At 12-20 weeks' gestation, participants (N = 124) self-reported: prenatal LOC eating, diet, physical activity, nicotine use, sleep; height/weight were measured. Data were collected during 2015-2017. We dichotomized LOC eating (0 = absent; 1 = present) and scored CVH metrics using Life's Essential 8 to create a composite CVH score (range = 0-100; higher = better). Linear and binary logistic regression models tested if LOC eating is related to composite CVH score and odds of scoring low (0)/moderate-high (1) on each CVH metric, respectively. All models employed propensity score adjustment, since those with/without LOC eating may differ in ways affecting CVH, and covaried for: age, gestational age, prepregnancy BMI, ethnicity, race, education, and income. Compared to those without, participants with LOC eating had significantly poorer composite CVH scores (b = -9.27, t(111) = -2.70, p < .01) and lower odds of scoring moderate-high on nicotine use (OR = 0.20, 95% CI [0.04, 0.85], p = .03) and sleep duration (OR = 0.19, 95% CI [0.04, 0.83], p = .03) CVH metrics. Prenatal LOC eating was associated with poorer CVH during pregnancy in this sample with prepregnancy BMI ≥ 25, even after controlling for propensity of experiencing LOC eating and known risk factors for poor CVH. Thus, prenatal LOC may represent a modifiable factor related to prenatal health risk. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comparative Profile of Pregnant Women with and Without Gestational Diabetes Mellitus

Introduction: Gestational diabetes mellitus (GDM) presents a growing public health concern due to its adverse effects on both mothers and infants. This study aims to identify the sociodemographic, obstetric, and lifestyle factors influencing GDM prevalence and compare the profiles of pregnant women with and without GDM. Methods: This case-control study was conducted at the Combined Military Hospital (CMH), Dhaka, Bangladesh, involving 150 cases (pregnant women with GDM) and 150 controls (pregnant women without GDM), each matched for age. Data collection instruments were pre-tested, and physical activity levels were measured using the Metabolic Equivalent of Task (MET). Differences between cases and controls were analyzed across various sociodemographic and obstetric characteristics. Result: Age distributions were similar, with mean ages of 25.41 ± 2.472 years for cases and 25.21 ± 2.63 years for controls (p=0.484). However, education and income disparities were observed, with 26.67% of cases achieving only a Secondary School Certificate (SSC) education compared to 16.00% of controls. A significant portion of cases (52.67%) fell into the 20,000-39,999-income bracket compared to 36.00% of controls (p&lt;0.01). Physical activity levels were notably lower among cases, with 94.00% of cases reporting low light activity versus only 18.67% of controls (p&lt;0.001). Pre-pregnancy Body Mass Index (BMI) was significantly higher among cases, with 30.67% overweight compared to 8.67% of controls (p&lt;0.001). Family history of diabetes mellitus and polycystic ovary syndrome (PCOS) were not significantly associated with GDM. Conclusion: Pre-pregnancy BMI, physical activity, and socioeconomic status play significant roles in determining GDM risk. Comprehensive education and structured physical activity programs, particularly for women of childbearing age, could help reduce the incidence and complications of GDM

The Concentration of Liver-Expressed Antimicrobial Peptide 2 in Human Milk and Infant Plasma Is Positively Associated with Adiposity and Body Weight in the First Year of Life

BackgroundThe liver-expressed antimicrobial peptide 2 (LEAP2) is a recently recognized anorectic and glucose-regulating hormone with an unknown role in lactation. ObjectivesThe objectives of this study were as follows: 1) to assess LEAP2 presence in human milk and putative associations with infant body weight and adiposity in the first year of life, 2) to evaluate the impact of maternal weight status on LEAP2 concentration, and 3) to explore the relationship between infant plasma LEAP2 concentration and body weight and adiposity. MethodsThis prospective cohort observational study assessed LEAP2 concentration in plasma and milk from lactating women with normal weight (n = 26) or overweight or obesity (OW/OB, n = 26) at 6 mo postpartum and in 6-mo-old infant plasma, examining associations with metabolic and anthropometric variables at 6 mo and 1 y. Maternal plasma and milk leptin and insulin concentrations were also measured. LEAP2 expression in milk fat globules and single-cell-RNA-sequencing datasets was evaluated. ResultsLEAP2 was detected in all milk samples assessed (2.08 ± 0.65 ng/mL) and was positively associated with infant triceps (P = 0.022, Cohen f2 = 1.25) and subscapular (P = 0.008, f2 = 0.68) skinfolds at 1 y old. Maternal LEAP2 was positively associated with insulin (P = 0.005, f2 = 0.30) and prepregnancy body mass index (BMI) (P = 0.040, f2 = 0.17) and negatively associated with gestational weight gain (P = 0.008, f2 = 0.25) and postpartum weight retention (P = 0.036, f2 = 0.15). Maternal LEAP2 was higher in plasma (P = 0.039), but not milk of lactating women with OW/OB. Infant plasma LEAP2 (1.98 ± 0.28 ng/mL) was positively associated with weight (P = 0.004, f2 = 0.63), BMI (P = 0.049, f2 = 0.37), and weight-for-length (P = 0.024, f2 = 0.35) z-scores at 1 y old, predominantly in males. No evidence for LEAP2 mRNA expression was found in mammary cells. ConclusionsMilk LEAP2 is a bioactive component that plays a role in infant fat accretion in the first year of life. Although maternal LEAP2 responds to weight change in pregnancy and lactation, infant plasma LEAP2 might be involved in body weight regulation in early life.This trial was registered at clinicaltrials.gov as NCT05798676.

The influence of exercise and BMI on food choices during pregnancy

BackgroundExercise is linked to health-conscious behaviors, such as healthy eating, through psychophysiological pathways that include improvements in executive functioning. The influence of exercise while pregnant on healthy eating is currently unknown. PurposeTo determine if there are differences in food choices of women who exercised (EX) or not (CON) during pregnancy, and if this differed by pre-pregnancy body mass index (BMI; normal weight, NW; overweight/obese, OWOB). MethodsThis study was a secondary analysis to examine the food frequency questionnaires (FFQs) of pregnant women randomized to 150 min/wk of EX (n = 72) or CON (n = 16). Maternal descriptors and pre-pregnancy BMI were collected at enrollment (≤16 weeks gestation). At enrollment and at 36 weeks gestation, women reported the frequency of specific food consumption across a range of food groups based on a Likert-scale ranging from 1-rarely or never eat the food to 5- eat the food more than once/day. ResultsOWOB EX increased consumption of nutrient-dense foods from enrollment to 36 weeks pregnancy and these results were not seen in OWOB CON and NW CON groups. Since FFQ is self-reported and captures a broad scope of habitual diet, it is important for future research in this area. ConclusionOverall, data in our study suggests that OWOB women who start exercising during pregnancy also improve their diet. Thus, future research should investigate how exercise may influence changes in nutrient intake during pregnancy.

Are the EAT-Lancet dietary recommendations associated with cardiometabolic health? – Insights from the Generation XXI cohort from childhood into early adolescence

BackgroundThe prospective effect of healthy and planetary diets on cardiometabolic health at young ages remains unclear. ObjectivesThis study aims to investigate the prospective associations between adherence to the EAT-Lancet dietary recommendations at age 7 and the prevalence of obesity and Metabolic Syndrome (MetS) at 7, 10, and 13 y old. MethodsParticipants are children from the Generation XXI birth cohort who completed 3-d food diaries at age 7, with complete data in variables of interest (n = 3564). Adherence to the EAT-Lancet dietary recommendations was evaluated using the World Index for Sustainability and Health (WISH); a higher score indicates a healthier and environmentally sustainable diet. At 7, 10, and 13 y, anthropometrics (weight, height, and waist circumference), blood pressure, serum-fasting triglycerides, high-density lipoprotein cholesterol, and glucose were measured. Obesity and MetS prevalence were determined by the World Health Organization and the International Diabetes Federation criteria, respectively. Adjusted custom binomial log-linear models were used to calculate prevalence ratios (PR) and the respective 95% confidence intervals (95% CI) (covariates: mother’s age, education, prepregnancy body mass index (BMI), gestational diabetes, child’s sex, age, Tanner stage, sports practice and total grams of the remaining food). ResultsFrom 7 to 13 y, obesity decreased from 14.1% to 9.3% and MetS increased from 1.0% to 5.1%. Higher WISH scores at 7 y were associated with a lower prevalence of obesity, measured by both BMI (≥97th percentile: PR = 0.912; 95% CI: 0.839, 0.991; PR = 0.882; 95% CI: 0.79, 0.938, respectively at 10 and 13 y) and waist circumference (≥90th percentile: PR = 0.899; 95% CI: 0.830, 0.974; PR = 0.858; 95% CI: 0.782, 0.942, respectively at 10 and 13 y). For each 10-point increase in the WISH, a reduction of 16% in MetS prevalence at 13 y was observed (PR = 0.837; 95% CI: 0.732, 0.957). No significant effects were found at younger ages. ConclusionsAdherence to the EAT-Lancet diet from an early age may help reduce cardiometabolic risk in early adolescence.