Prepregnancy body mass index and visceral fat exhibit divergent associations with metabolic factors in pregnant women with obesity: A Norwegian cohort study.

INTRODUCTION: Pregnancy involves changes in maternal metabolism that differ between normal-weight women and women with overweight or obesity, including changes in glucose, insulin, lipids, and adipokines. These changes contribute to altered risk profiles for adverse outcomes for both mother and child during pregnancy, childbirth, and postpartum. We explored associations between visceral fat and prepregnancy body mass index (pBMI), respectively, with glucose and lipid metabolism, as well as with adipokines and C-reactive protein (CRP), measured fasting in early and late pregnancy. We hypothesized that among women with pBMI ≥35 kg/m2, visceral fat measured around gestational week 18 (visceral fat18) would show associations with greater number of metabolic variables during pregnancy, than pBMI. MATERIAL AND METHODS: This prospective longitudinal cohort study was conducted at the Department of Gynecology and Obstetrics at Drammen Hospital from 2016 to 2019. We included 166 nulliparous (47.6%) and parous pregnant women with pBMI ≥35 kg/m2 and singleton pregnancy. Women with type 1 diabetes were excluded. We evaluated associations of pBMI and visceral fat estimated with bioimpedance weight around gestational week 18 (visceral fat18) with fasting metabolic measures around gestational weeks 18 and 36 using median regression models. We used the paired t-test or the Wilcoxon signed-rank test, as appropriate, to analyze changes in metabolic measures from early to late pregnancy, and median regression to estimate crude and adjusted differences in medians of 21 maternal metabolic measures associated with one-unit changes in pBMI and visceral fat18, respectively. RESULTS: pBMI and visceral fat18 were highly correlated and showed associations with similar metabolic measures in pregnancy in crude analysis. After mutual adjustment for each other in addition to age and parity, pBMI was associated with glucose metabolism, in particular fasting insulin, whereas visceral fat18 was primarily associated with leptin. CONCLUSIONS: Among pregnant women with BMI ≥35 kg/m2, easily obtainable pBMI and the more resource-demanding estimate of visceral fat18 exhibit divergent associations with metabolic measures; pBMI was positively associated with insulin, glucose, and HbA1c, while visceral fat18 was positively associated with leptin. We did not find visceral fat18 to be associated with greater number of metabolic factors than pBMI.

[Prevalence and Trends in Prepregnancy Overweight and Obesity in Northern Iceland 2004-2022].

INTRODUCTION: Prepregnancy overweight and obesity is an increasing public health issue worldwide, including Iceland, and has been associated with higher risk of adverse maternal and birth outcomes. The aim of this study was to investigate trends in prepregnancy weight amongst women in North Iceland from 2004 to 2022, and the prevalence of overweight and obesity in this population. MATERIAL AND METHODS: This retrospective cross-sectional study included all women who gave birth at Akureyri Hospital in North Iceland between 2004 and 2022 (N = 7410). Information on age, parity, height, and prepregnancy weight was obtained from an electronic labour audit database. Body mass index (BMI) was calculated from self-reported height and weight, and the median BMI and proportions in each of the six BMI categories were calculated for four time periods. RESULTS: Median BMI increased significantly from 24.5 kg/m2 in 2004-2008 to 26.2 kg/m2 in 2019-2022. On average, BMI increased by 0.15 kg/m2 with each passing year (p<0.001). The prevalence of normal weight decreased from 53% to 40% and the entire BMI distribution shifted towards a higher BMI. The proportion of women in obesity class I (BMI 30.0 - 34.9) increased from 12.8% to 17.3%, the proportion of women in obesity class II (BMI 35.0 - 39.9) doubled (3.7% to 8.1%) and tripled in obesity class III (BMI ≥ 40.0; 1.6% to 4.8%). CONCLUSION: Prepregnancy weight of women in Northern Iceland has gradually increased over the last 19 years and 30% of pregnant women are now classified as obese. Further studies on the subsequent effects on maternal and birth outcomes are needed, with a focus on strategies to decrease adverse effects and reverse this trend.

Higher Than Recommended Folic Acid Intakes is Associated with High Folate Status Throughout Pregnancy in a Prospective French-Canadian Cohort.

BACKGROUND: Folate and vitamin B12 status during pregnancy are important for maternal and neonatal health. Maternal intake and prepregnancy body mass index (ppBMI) can influence biomarker status. OBJECTIVES: This study aimed to, throughout pregnancy; 1) assess folate and B12 status including serum total folate, plasma total vitamin B12, and homocysteine (tHcy); 2) examine how these biomarkers are associated with intakes of folate and B12 and with ppBMI; and 3) determine predictors of serum total folate and plasma total vitamin B12. METHODS: In each trimester (T1, T2, and T3), food and supplement intakes of 79 French-Canadian pregnant individuals were assessed by 3 dietary recalls (R24W) and a supplement use questionnaire. Fasting blood samples were collected. Serum total folate and plasma total vitamin B12 and tHcy were assessed by immunoassay (Siemens ADVIA Centaur XP). RESULTS: Participants were 32.1 ± 3.7 y and had a mean ppBMI of 25.7 ± 5.8 kg/m2. Serum total folate concentrations were high (>45.3 nmol/L, T1: 75.4 ± 55.1, T2: 69.1 ± 44.8, T3: 72.1 ± 52.1, P = 0.48). Mean plasma total vitamin B12 concentrations were >220 pmol/L (T1: 428 ± 175, T2: 321 ± 116, T3: 336 ± 128, P < 0.0001). Mean tHcy concentrations were <11 µmol/L across trimesters. Most participants (79.6%-86.1%) had a total folic acid intake above the Tolerable Upper Intake Level (UL, >1000 µg/d). Supplement use accounted for 71.9%-76.1% and 35.3%-41.8% of total folic acid and vitamin B12 intakes, respectively. The ppBMI was not correlated with serum total folate (P > 0.1) but was weakly correlated with and predicted lower plasma total vitamin B12 in T3 (r = -0.23, P = 0.04; r2 = 0.08, standardized beta [sß] = -0.24, P = 0.01). Higher folic acid intakes from supplements predicted higher serum total folate (T1: r2 = 0.05, sß = 0.15, P = 0.04, T2: r2 = 0.28, sß = 0.56, P = 0.01, T3: r2 = 0.19, sß = 0.44, P < 0.0001). CONCLUSIONS: Most pregnant individuals had elevated serum total folate concentrations, reflecting total folic acid intakes above the UL driven by supplement use. Vitamin B12 concentrations were generally adequate and differed by ppBMI and pregnancy stage.

A randomized controlled trial of low-dose aspirin for the prevention of preeclampsia in women at high risk in China.

BACKGROUND: Low-dose aspirin has been the most widely studied preventive drug for preeclampsia. However, guidelines differ considerably from country to country regarding the prophylactic use of aspirin for preeclampsia. There is limited evidence from large trials to determine the effect of 100 mg of aspirin for preeclampsia screening in women with high-risk pregnancies, based on maternal risk factors, and to guide the use of low-dose aspirin in preeclampsia prevention in China. OBJECTIVE: The Low-Dose Aspirin in the Prevention of Preeclampsia in China study was designed to evaluate the effect of 100 mg of aspirin in preventing preeclampsia among high-risk pregnant women screened with maternal risk factors in China, where preeclampsia is highly prevalent, and the status of low-dose aspirin supply is commonly suboptimal. STUDY DESIGN: We conducted a multicenter randomized controlled trial at 13 tertiary hospitals from 11 provinces in China between 2016 and 2019. We assumed that the relative reduction in the incidence of preeclampsia was at least 20%, from 20% in the control group to 16% in the aspirin group. Therefore, the targeted recruitment number was 1000 participants. Women were randomly assigned to the aspirin or control group in a 1:1 allocation ratio. Statistical analyses were performed according to an intention-to-treat basis. The primary outcome was the incidence of preeclampsia, diagnosed along with a systolic blood pressure of ≥140 mm Hg or a diastolic blood pressure of ≥90 mm Hg after 20 weeks of gestation, with a previously normal blood pressure (systolic blood pressure of <140 mm Hg and diastolic blood pressure of <90 mm Hg), and complicated by proteinuria. The secondary outcomes included maternal and neonatal outcomes. Logistic regression analysis was used to determine the significance of difference of preeclampsia incidence between the groups for both the primary and secondary outcomes. Interaction analysis was also performed. RESULTS: A total of 1000 eligible women were recruited between December 2016 and March 2019, of which the final 898 patients were analyzed (464 participants in the aspirin group, 434 participants in the control group) on an intention-to-treat basis. No significant difference was found in preeclampsia incidence between the aspirin group (16.8% [78/464]) and the control group (17.1% [74/434]; relative risk, 0.986; 95% confidence interval, 0.738-1.317; P=.924). Likewise, adverse maternal and neonatal outcomes did not differ significantly between the 2 groups. Meanwhile, the incidence of postpartum hemorrhage between the 2 groups was similar (6.5% [30/464] in the aspirin group and 5.3% [23/434] in the control group; relative risk, 1.220; 95% confidence interval, 0.720-2.066; P=.459). We did not find any significant differences in preeclampsia incidence between the 2 groups in the subgroup analysis of the different risk factors. CONCLUSION: A dosage of 100 mg of aspirin per day, initiated from 12 to 20 gestational weeks until 34 weeks of gestation, did not reduce the incidence of preeclampsia in pregnant women with high-risk factors in China.

Latent class analysis of placental histopathology: a novel approach to classifying early and late preterm births.

BACKGROUND: Neonatal morbidity attributable to prematurity predominantly occurs among early preterm births (<32 weeks) rather than late preterm births (32 to <37 weeks). Methods to distinguish early and late preterm births are lacking given the heterogeneity in pathophysiology and risk factors, including maternal obesity. Although preterm births are often characterized by clinical presentation (spontaneous or clinically indicated), classifying deliveries by placental features detected on histopathology reports may help identify subgroups of preterm births with similar etiology and risk factors. Latent class analysis is an empirical approach to characterize preterm births on the basis of observed combinations of placental features. OBJECTIVE: To identify histopathologic markers that can distinguish early (<32 weeks) and late preterm births (32 to <37 weeks) that are also associated with maternal obesity and neonatal outcomes. STUDY DESIGN: Women with a singleton preterm birth at University of Pittsburgh Medical Center Magee-Womens Hospital (Pittsburgh, PA) from 2008 to 2012 and a placental evaluation (89% of preterm births) were stratified into early (n=900, 61% spontaneous) and late preterm births (n=3362, 57% spontaneous). Prepregnancy body mass index was self-reported at first prenatal visit and 16 abstracted placental features were analyzed. Placental subgroups (ie, latent classes) of early and late preterm births were determined separately by latent class analysis of placental features. The optimal number of latent classes was selected by comparing fit statistics. The probability of latent class membership across prepregnancy body mass indexes was estimated in early preterm births and in late preterm births by an extension of multinomial regression called pseudo-class regression, adjusting for race, smoking, education, and parity. The frequencies of severe neonatal morbidity (composite outcome: respiratory distress, bronchopulmonary dysplasia, intraventricular hemorrhage, necrotizing enterocolitis, periventricular leukomalacia, patent ductus arteriosus, and retinopathy of prematurity), small-for-gestational-age, and length of neonatal intensive care unit stay were compared across latent classes by chi-square and Kruskal-Wallis tests. RESULTS: Early preterm births were grouped into 4 latent classes based on placental histopathologic features: acute inflammation (38% of cases), maternal vascular malperfusion with inflammation (29%), maternal vascular malperfusion (25%), and fetal vascular thrombosis with hemorrhage (8%). As body mass index increased from 20 to 50kg/m2, the probability of maternal vascular malperfusion and fetal vascular thrombosis with hemorrhage increased, whereas the probability of maternal vascular malperfusion with inflammation decreased. There was minimal change in the probability of acute inflammation with increasing body mass index. Late preterm births also had 4 latent classes: maternal vascular malperfusion (22%), acute inflammation (12%), fetal vascular thrombosis with hemorrhage (9%), and low-risk pathology (58%). Body mass index was not associated with major changes in likelihood of the latent classes in late preterm births. Associations between body mass index and likelihood of the latent classes were not modified by type of delivery (spontaneous or indicated) in early or late preterm births. Maternal malperfusion and fetal vascular thrombosis with hemorrhage were associated with greater neonatal morbidity than the other latent classes in early and late preterm births. CONCLUSION: Obesity may predispose women to early but not late preterm birth through placental vascular impairment. Latent class analysis of placental histopathologic data provides an evidence-based approach to group preterm births with shared underlying etiology and risk factors.

Prepregnancy body mass index, gestational weight gain, and maternal prepartum inflammation in normal pregnancies: findings from a Chinese cohort.

BACKGROUND: Obesity has been linked to systemic inflammation in population studies. OBJECTIVE: To examine the associations of prepregnancy body mass index (pBMI) and total gestational weight gain (tGWG) with maternal prepartum low-grade inflammation (LGI) and clinically significant inflammation (CSI) defined by serum C-reactive protein (CRP) concentration. METHODS: Five thousand four hundred seventy-six Chinese women with uncomplicated pregnancies and recorded data on pBMI and prepartum body weight were included in this study. Blood samples were drawn before delivery for high-sensitivity CRP assay. Inadequate, optimal, and excessive tGWG were defined using the Institute of Medicine's recommendation. Multivariable Poisson regressions were used to estimate relative risks (RRs) for having prepartum LGI and CSI (defined as CRP concentration 3-10 and > 10 mg/L, respectively) across pBMI and tGWG categories. RESULTS: The mean pBMI, mean tGWG, and median maternal prepartum CRP concentration were 20.4 kg/m2, 13.9 kg, and 3.3 mg/L, respectively. The prevalence of prepartum CSI and LGI was 7.2% and 47.8%. The adjusted RRs (95% confidence interval) of CSI for normal (18.5-24.9 kg/m2) and high (≥ 25 kg/m2) vs. low pBMI (< 18.5 kg/m2) were 1.35 (1.05-1.74) and 2.28 (1.53-3.39), respectively. The respective adjusted RRs of LGI were 1.19 (1.11-1.28) and 1.59 (1.42-1.77). The adjusted RRs for excessive vs. optimal tGWG was 1.18 (0.94-1.48) for CSI and 1.14 (1.07-1.21) for LGI. CONCLUSIONS: Prepregnancy overweight/obesity and excessive tGWG increase the risk of maternal prepartum systemic inflammation, which further highlights the importance of weight management before and during pregnancy.

Associations between prepregnancy body mass index, gestational weight gain and weight catch-up in small-for-gestational-age children.

Inadequate gestational weight gain (GWG) was related with a higher incidence of small-for-gestational-age (SGA) births than appropriate GWG; however, the long-term association of maternal GWG with weight catch-up growth in SGA children remains unknown. The objective of this study is to evaluate the associations between prepregnancy body mass index (pBMI), GWG and weight catch-up patterns in SGA children. Data were from the Collaborative Perinatal Project, an American multicentre prospective cohort study. A total of 56,990 gravidas were recruited at the first prenatal visit, and children were followed up until school age. Maternal pBMI, GWG and physical growth of the offspring at birth, 4 months, 1 year, 4 years and 7 years old were recorded. The latent class analysis was employed to form weight catch-up growth patterns (appropriate, excessive, slow, regression and no catch-up patterns) in SGA children. SGA children who developed the 'appropriate catch-up growth' pattern and whose mothers had appropriate pBMI and GWG were chosen as the reference. Associations between GWG for different pBMI and weight catch-up patterns were analysed by multivariate logistic regression models. A total of 1619 infants (9.45%) were born term SGA. After adjusting for relevant confounders, compared with SGA children whose mothers had appropriate pBMI and GWG, SGA children with maternal prepregnancy underweight (for inadequate GWG, GWG below recommendations, adjusted OR: 2.88, 95% CI: 1.13-7.31; for appropriate/excessive GWG, adjusted OR: 3.07, 95% CI: 1.74-5.42) or with prepregnancy normal weight but inadequate GWG (adjusted OR: 2.14, 95% CI: 1.36-3.38) were at a higher risk of having the 'no catch-up growth' pattern. We suggest that SGA children with maternal prepregnancy underweight or inadequate GWG tend to have a poor weight catch-up growth at least until school age.

[Interaction between Abnormal Prepregnancy Body Mass Index and Hyperlipidemia during Pregnancy on the Risk of Gestational Diabetes Mellitus].

Objective To explore the interaction between abnormal prepregnancy body mass index(pBMI)and high blood lipid level during pregnancy on the risk of gestational diabetes mellitus(GDM). Methods A total of 235 patients with GDM and no blood lipid-related diseases before pregnancy were selected from Hangzhou Women's Hospital during March 2017 to July 2018 as the GDM group.At a ratio of 1∶3,a total of 705 individual age-matched pregnant women with normal glucose metabolism during prenatal examination from the same hospital were selected as the control group.The generalized multifactor dimension reduction(GMDR)method was employed to characterize the possible interaction between pBMI-blood lipid and GDM.The cross-validation consistency,equilibrium test accuracy,and P value were calculated to evaluate the interaction of each model. Results GMDR model analysis showed that the second-order model including pBMI and gestational blood lipid level had the best performance(P=0.001),with the cross-validation consistency of 10/10 and the equilibrium test accuracy of 64.48%,suggesting that there was a potential interaction between pBMI and gestational high blood lipid level.After adjustment of confounding factors,the model demonstrated that overweight/obesity patients with high triglyceride(TG) level had the highest risk of developing GDM(OR=14.349,95%CI=6.449-31.924,P<0.001).Stratified analysis showed that overweight/obesity patients under high TG level group had a higher risk of developing GDM than normal weight individuals(OR=2.243,95%CI=1.173-4.290,P=0.015). Conclusions Abnormal pBMI and high blood lipid level during pregnancy are the risk factors of GDM and have an interaction between each other.Overweight/obese pregnant women with high TG levels are more likely to develop GDM.

Monitoring gestational weight gain and prepregnancy BMI using the 2009 IOM guidelines in the global population: a systematic review and meta-analysis.

BACKGROUND: Previous studies have reported a high prevalence of excessive gestational weight gain (GWG) in women with prepregnancy BMI classified as overweight and obese. However, the joint evidence regarding GWG and prepregnancy BMI in the worldwide population has not been synthesized. Thus, this systematic review and meta-analysis aimed to estimate global and regional mean GWG and the prevalence of GWG above, within and below 2009 Institute of Medicine (IOM) guidelines. Second, we aimed to estimate global and regional prepregnancy BMI and the prevalence of BMI categories according to World Health Organization (WHO) classification. METHODS: We searched Medline, Embase, the Cochrane Library and Web of Science to identify observational studies until 9 May 2018. We included studies published from 2009 that used 2009 IOM guidelines, reporting data from women in general population with singleton pregnancies. The 2009 IOM categories for GWG and the WHO categories for prepregnancy BMI were used. DerSimonian and Laird random effects methods were used to estimate the pooled and their respective 95% confidence intervals (95% CIs) of the mean and by category rates of GWG and prepregnancy BMI, calculated by global and regions. RESULTS: Sixty-three published studies from 29 countries with a total sample size of 1,416,915 women were included. The global prevalence of GWG above and below the 2009 IOM guidelines, was 27.8% (95% CI; 26.5, 29.1) and 39.4% (95% CI; 37.1, 41.7), respectively. Furthermore, meta-regression analyses showed that the mean GWG and the prevalence of GWG above guidelines have increased. The global prevalence of overweight and obesity, was 23.0% (95% CI; 22.3, 23.7) and 16.3% (95% CI; 15.4, 17.4), respectively. The highest mean GWG and prepregnancy BMI were in North America and the lowest were in Asia. CONCLUSIONS: Considering the high prevalence of GWG above the 2009 IOM guidelines and women with overweight/obesity and their continuously increasing trend in most regions, clinicians should recommend lifestyle interventions to improve women's weight during reproductive age. Due to regional variability, these interventions should be adapted to each cultural context. TRIAL REGISTRATION: Prospectively registered with PROSPERO ( CRD42018093562 ).

Developmental trajectories of body mass index from childhood into late adolescence and subsequent late adolescence-young adulthood cardiometabolic risk markers.

BACKGROUND: Reports on body mass index (BMI) trajectories from childhood into late adolescence, their determinants, and subsequent cardiometabolic risk markers, particularly among European populations have been few. Moreover, sex-specific investigation is necessary considering the sex difference in BMI, and the sex-specific association between BMI and some cardiometabolic risk markers. METHODS: Using a sample from the DOrtmund Nutritional and Anthropometric Longitudinally Designed study, we explored sex-specific trajectories of the BMI standard deviation score (SDS) from 4 to 18 years of age in 354 males and 335 females by latent (class) growth models. The determinants of trajectory were assessed by logistic regression. We identified cardiometabolic risk markers that were highly associated with BMI SDS trajectory by random forest regression, and finally we used generalized linear models to investigate differences in the identified cardiometabolic risk markers between pairs of trajectories. RESULTS: We observed four: 'low-normal weight', 'mid-normal weight', 'high-normal weight', and 'overweight', and three: ''low-normal weight', 'mid-normal weight', and 'high-normal weight' trajectories in males and females, respectively. Higher maternal prepregnancy BMI was associated with the 'overweight' trajectory, and with 'high-normal weight' trajectory in both sexes. In addition, employed mothers and first-born status were associated with 'high-normal weight' trajectory in females. BMI SDS trajectory was associated with high-density lipoprotein-cholesterol and interleukin-18 (IL-18) in males, and diastolic blood pressure and interleukin-6 (IL-6) in females. However, only males following the 'overweight' trajectory had significantly higher IL-18 when compared to their 'low-normal weight' counterpart. CONCLUSIONS: We identified sex-specific distinct trajectories of BMI SDS from childhood into late adolescence, higher maternal prepregnancy BMI as a common determinant of the 'high-normal weight' and 'overweight' trajectories, and 'overweight' trajectory being associated with elevated IL-18 in late adolescence-young adulthood. This study emphasizes the role of maternal prepregnancy BMI in overweight, and highlights IL-18 as a cardiometabolic signature of overweight across life.

Effects of Prepregnancy Body Mass Index, Weight Gain, and Gestational Diabetes Mellitus on Pregnancy Outcomes: A Population-Based Study in Xiamen, China, 2011-2018.

BACKGROUND: It is unclear that how prepregnancy body mass index (BMI), gestational weight gain (GWG), and gestational diabetes mellitus (GDM) affect pregnancy outcomes in -China. Thus, we explored how BMI, GWG, and GDM affect the risks of adverse pregnancy outcomes. METHODS: We performed a retrospective, population-based study included all births in Xiamen, China, 2011-2018. Demographic data and pregnancy outcomes of 73,498 women were acquired from the Medical Birth Registry of Xiamen. Women were categorized into groups on prepregnancy BMI and GWG in order to assess the risk of pregnancy outcomes. Multivariable logistic regression was performed to evaluate risk factors. RESULTS: Overall, 6,982 (9.37%) women were obese, and 8,874 (12.07%) women were overweight. Obese women are more vulnerable to cesarean delivery, preterm birth, large-for-gestational age (LGA), and macrosomia (crude OR [cOR] 2.00, 1.89-2.12; 1.35, 1.20-1.51; 2.12, 1.99-2.26; 2.53, 2.25-2.86, respectively, adjusted ORs 1.73, 1.62-1.84; 1.25, 1.10-1.42; 2.03, 1.90-2.18; 2.77, 2.44-3.16, respectively). Similar results were observed in overweight women (cORs 1.49, 1.42-1.57; 1.02, 0.91-1.15; 1.60, 1.50-1.70; 2.01, 1.78-2.26, respectively). Furthermore, women who gain weight in excessive group were 1.43, 2.06, and 2.16 times to deliver cesarean, LGA, and macrosomia, respectively. Additionally, GDM women were easily subjected to cesarean section, preterm birth, LGA, low birth weight, and macrosamia (cORs 1.52, 1.55, 1.52, 1.37, 1.27, respectively). CONCLUSIONS: Obesity prior to pregnancy, excessive GWG, and GDM were all associated with increased odds of cesarean, LGA, and macrosomia. Blood glucose and weight control before and during pregnancy are needed that may reduce the complications of pregnancy.

The Impact of Prepregnancy Body Mass Index and Gestational Weight Gain on Perinatal Outcomes for Women With Gestational Diabetes Mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM), an obstetric disease that affects the health of pregnant women, is one of the key factors associated with perinatal mortality or disease. AIMS: To explore the impact of prepregnancy body mass index (BMI) and gestational weight gain (GWG) on perinatal outcomes for women with GDM. METHODS: With a retrospective study design, women were recruited who received prenatal checkups, gave birth at two teaching hospitals in southern Taiwan from 1995 to 2011, and received a diagnosis of GDM by an obstetrician. A trained research assistant collected the participants' data in each hospital's archives room. The researcher used a retrospective case study method to identify women who received a GDM diagnosis between 1995 and 2011. RESULTS: Women with GDM and with an overweight prepregnancy BMI were more likely to have cesarean deliveries and to use glucose-lowering medicines after delivery. Their newborns also had a higher birth weight. In addition, gestational hypertension and cesarean delivery were more common in women with GDM and with excessive GWG than in women with GDM and with normal GWG. The newborns of women with GDM and with excessive GWG had higher birth weights and more nuchal cord than those of women with GDM and with normal GWG. More women with GDM and with excessive GWG underwent blood glucose monitoring than did women with GDM and with normal GWG. LINKING EVIDENCE TO ACTION: The prepregnancy weight and GWG significantly affected perinatal outcomes in both the women with GDM themselves and their newborns. Healthcare professionals must provide childbearing women with additional health education in the areas of health promotion, nutrition, weight control, exercise, and maintaining regular everyday lives.

Maternal thyroid function, prepregnancy obesity and gestational weight gain-The Generation R Study: A prospective cohort study.

OBJECTIVE: Maternal prepregnancy obesity and excessive gestational weight gain are associated with pregnancy complications. Thyroid function is related to differences in body mass index (BMI) in adult populations. We examined the associations of maternal thyroid function in early pregnancy with maternal BMI and weight gain during pregnancy. DESIGN AND METHODS: In a population-based prospective cohort study among 5726 mothers, we measured maternal TSH and FT4 levels at 13.5 weeks of gestation (95% range: 9.7-17.6 weeks). Maternal weight was assessed before pregnancy and in each trimester. RESULTS: Higher maternal TSH levels were associated with higher prepregnancy BMI (difference: 0.18 kg/m2 [95% CI: 0.01, 0.36] per SD increase in maternal TSH level) and higher total gestational weight gain (difference: 0.02 kg/wk [95% CI: 0.01, 0.03] per SD increase in maternal TSH level). Higher maternal FT4 levels were associated with lower prepregnancy BMI (difference: -0.44 kg/m2 [95% CI: -0.63, -0.26] per SD increase in maternal FT4 level) and lower total gestational weight gain (difference: -0.01 kg/wk [95% CI: -0.02, -0.01] per SD increase in maternal FT4 level). The associations of maternal thyroid function with weight gain in early pregnancy were stronger than those with weight gain in mid and late-pregnancy. Maternal hypothyroidism was associated with higher prepregnancy BMI and early pregnancy weight gain, whereas opposite effects were observed for maternal hyperthyroidism (P<.05). CONCLUSIONS: Higher maternal TSH level and lower FT4 level in early pregnancy are associated with higher prepregnancy BMI and higher gestational weight gain. Further studies are needed to explore maternal and foetal consequences.

Prospective association of fetal liver blood flow at 30 weeks gestation with newborn adiposity.

BACKGROUND: The production of variation in adipose tissue accretion represents a key fetal adaptation to energy substrate availability during gestation. Because umbilical venous blood transports nutrient substrate from the maternal to the fetal compartment and because the fetal liver is the primary organ in which nutrient interconversion occurs, it has been proposed that variations in the relative distribution of umbilical venous blood flow shunting either through ductus venosus or perfusing the fetal liver represents a mechanism underlying this adaptation. OBJECTIVE: The objective of the present study was to determine whether fetal liver blood flow assessed before the period of maximal fetal fat deposition (ie, the third trimester of gestation) is prospectively associated with newborn adiposity. STUDY DESIGN: A prospective study was conducted in a cohort of 62 uncomplicated singleton pregnancies. Fetal ultrasonography was performed at 30 weeks gestation for conventional fetal biometry and characterization of fetal liver blood flow (quantified by subtracting ductus venosus flow from umbilical vein flow). Newborn body fat percentage was quantified by dual energy X-ray absorptiometry imaging at 25.8 ± 3.3 (mean ± standard error of the mean) postnatal days. Multiple regression analysis was used to determine the proportion of variation in newborn body fat percentage explained by fetal liver blood flow. Potential confounding factors included maternal age, parity, prepregnancy body mass index, gestational weight gain, gestational age at birth, infant sex, postnatal age at dual energy X-ray absorptiometry scan, and mode of infant feeding. RESULTS: Newborn body fat percentage was 13.5% ± 2.4% (mean ± standard error of the mean). Fetal liver blood flow at 30 weeks gestation was significantly and positively associated with newborn total fat mass (r=0.397; P<.001) and body fat percentage (r=0.369; P=.004), but not with lean mass (r=0.100; P=.441). After accounting for the effects of covariates, fetal liver blood flow explained 13.5% of the variance in newborn fat mass. The magnitude of this association was pronounced particularly in nonoverweight/nonobese mothers (prepregnancy body mass index, <25 kg/m2; n=36) in whom fetal liver blood flow explained 24.4% of the variation in newborn body fat percentage. CONCLUSION: Fetal liver blood flow at the beginning of the third trimester of gestation is associated positively with newborn adiposity, particularly among nonoverweight/nonobese mothers. This finding supports the role of fetal liver blood flow as a putative fetal adaptation underlying variation in adipose tissue accretion.

The Effects of Race and Ethnicity on the Risk of Large-for-Gestational-Age Newborns in Women Without Gestational Diabetes by Prepregnancy Body Mass Index Categories.

Objectives Children born large for gestational age (LGA) are at risk of numerous adverse outcomes. While the racial/ethnic disparity in LGA risk has been studied among women with Gestational Diabetes Mellitus (GDM), the independent effect of race on LGA risk by maternal prepregnancy BMI is still unclear among women without GDM. Therefore, the objective of this study was to assess the association between maternal race/ethnicity and LGA among women without GDM. Methods This was a population-based cohort study of 2,842,278 singleton births using 2012 U.S. Natality data. We conducted bivariate and multivariate logistic regression analyses to assess the association between race and LGA. Due to effect modification by maternal prepregnancy BMI, we stratified our analysis by four BMI subgroups. Results The prevalence of LGA was similar across the different racial/ethnic groups at about 9%, but non-Hispanic Asian Americans had slightly higher prevalence of 11%. After controlling for potential confounders, minority women had higher odds of birthing LGA babies compared to non-Hispanic white women. Non-Hispanic Asian Americans had the highest odds of LGA babies across all BMI categories: underweight (aOR = 2.67; 95% CI: 2.24, 3.05); normal weight (aOR = 2.53; 2.43, 2.62); overweight (aOR = 2.45; 2.32, 2.60) and obese (aOR = 2.05; 1.91, 2.20). Conclusions for practice Racial/ethnic disparities exist in LGA odds, particularly among women with underweight or normal prepregnancy BMI. Most minorities had higher LGA odds than non-Hispanic white women regardless of prepregnancy BMI category. These racial/ethnic disparities should inform public health policies and interventions to address this problem.

Prepregnancy body mass index in a first uncomplicated pregnancy and outcomes of a second pregnancy.

OBJECTIVE: This study examined the effect of body mass index (BMI) before a first uncomplicated pregnancy on maternal and fetal outcomes in a subsequent pregnancy, including preterm births, preeclampsia, cesarean delivery, small for gestational age, large for gestational age, and neonatal deaths. STUDY DESIGN: We conducted a population-based cohort study (n = 121,092) using the Missouri maternally linked birth registry (1989 through 2005). Multivariable binary logistic regression models were fit to estimate odds ratios and 95% confidence intervals for the parameters of interest after controlling for sociodemographic and pregnancy-related confounders in the second pregnancy. RESULTS: Compared to women with a normal BMI in their first pregnancy, those who were underweight prepregnancy had increased odds for preterm birth by 20% and small for gestational age by 40% in their second pregnancy, while those with prepregnancy obesity had increased odds for large for gestational age, preeclampsia, cesarean delivery, and neonatal deaths in their second pregnancy by 54%, 156%, 85%, and 37%, respectively. CONCLUSION: Women starting a first pregnancy with suboptimal BMI may be at risk of adverse maternal and fetal outcomes in a subsequent pregnancy, even if their first pregnancy was uncomplicated or if they reached a normal weight by their second pregnancy. The long-term consequences of suboptimal BMI carry considerable public health implications.

Trends in gestational weight gain: the Pregnancy Risk Assessment Monitoring System, 2000-2009.

OBJECTIVE: Achieving adequate gestational weight gain (GWG) is important for optimal health of the infant and mother. We estimate current population-based trends of GWG. STUDY DESIGN: We analyzed data from the Pregnancy Risk Assessment Monitoring System for 124,348 women who delivered live infants in 14 states during 2000 through 2009. We examined prevalence and trends in GWG in pounds as a continuous variable, and within 1990 Institute of Medicine (IOM) recommendations (yes/no) as a dichotomous variable. We examined adjusted trends in mean GWG using multivariable linear regression and GWG within recommendations using multivariable multinomial logistic regression. RESULTS: During 2000 through 2009, 35.8% of women gained within IOM GWG recommendations, 44.4% gained above, and 19.8% gained below. From 2000 through 2009, there was a biennial 1.0 percentage point decrease in women gaining within IOM GWG recommendations (P trend < .01) and a biennial 0.8 percentage point increase in women gaining above IOM recommendations (P trend < .01). The percentage of women gaining weight below IOM recommendations remained relatively constant from 2000 through 2009 (P trend = .14). The adjusted odds of gaining within IOM recommendations were lower in 2006 through 2007 (adjusted odds ratio, 0.90; 95% confidence interval, 0.85-0.96) and 2008 through 2009 (adjusted odds ratio, 0.90; 95% confidence interval, 0.85-0.96) relative to 2000 through 2001. CONCLUSION: Overall, from 2000 through 2009 the percentage of women gaining within IOM recommendations slightly decreased while mean GWG slightly increased. Efforts are needed to develop and implement strategies to ensure that women achieve GWG within recommendations.

Impact factors and obstetric outcomes of preeclampsia in twin pregnancies by prepregnancy body mass index: a six-year retrospective cohort study.

OBJECTIVES: Among many risk factors for preeclampsia (PE), prepregnancy body mass index (BMI) is one of few controllable factors. However, there is a lack of stratified analysis based on the prepregnancy BMI. This study aimed to determine the influencing factors for PE and assess the impact of PE on obstetric outcomes in twin pregnancies by prepregnancy BMI. METHODS: This was a retrospective cohort study between January 1, 2017, and December 31, 2022, in Southwest China. Impact factors and associations between PE and obstetric outcomes were analyzed separately for twin pregnancies with prepregnancy BMI < 24kg/m2 (non-overweight group) and BMI ≥ 24kg/m2 (overweight group). RESULTS: In total, 3602 twin pregnancies were included, of which, 672 women were allocated into the overweight group and 11.8% of them reported with PE; 2930 women were allocated into the non-overweight group, with a PE incidence of 5.6%. PE had a negative effect on birthweight and increased the incidence of neonatal intensive care unit admission in both the overweight and non-overweight groups (43.0% vs. 28.0%, p = .008; 45.7% vs. 29.1%, p < .001). Among overweight women, PE increased the proportion of postpartum hemorrhage (15.2% vs. 4.4%, p < .001). After adjustments, multivariate regression analysis showed that excessive gestational weight gain (aOR = 1.103, 95% CI: 1.056-1.152; aOR = 1.094, 95% CI: 1.064-1.126) and hypoproteinemia (aOR = 2.828, 95% CI: 1.501-5.330; aOR = 6.932, 95% CI: 4.819-9.971) were the shared risk factors for PE in both overweight and non-overweight groups. In overweight group, in vitro fertilization was the other risk factor (aOR = 2.713, 95% CI: 1.183-6.878), whereas dichorionic fertilization (aOR = 0.435, 95% CI: 0.193-0.976) and aspirin use during pregnancy (aOR = 0.456, 95% CI: 0.246-0.844) were protective factors. Additionally, anemia during pregnancy (aOR = 1.542, 95% CI: 1.090-2.180) and growth discordance in twins (aOR = 2.451, 95% CI: 1.215-4.205) were connected with an increased risk of PE only in non-overweight twin pregnancies. CONCLUSIONS: Both discrepancy and similarity of impact factors on developing PE were found between overweight and non-overweight twin pregnancies in this study. However, the dosage and initiation time of aspirin, as well as twin chorionicity on the occurrence of PE in two subgroups, are still debated.

Investigation and Comparison of Maternal Pre-Pregnancy Body Mass Index Coupled with Gestational Weight Gain on Maternal-Fetal Complications Based on US and Chinese Guidelines: A Retrospective Study.

Compared to Western populations, Chinese and Asians possess distinct genetics, lifestyles, and dietary habits. They tend to have shorter stature, lower Body Mass Index (BMI), and higher body fat percentages than Western populations. The aim of this study was to compare disparities in maternal-fetal outcomes by combining pre-pregnancy BMI and gestational weight gain (GWG) based on distinct US and Chinese guidelines. A total of 2,271 pregnant women who received perinatal care at Fooyin University Hospital from 2016 to 2021 were included. Logistic regression analysis categorized women into twelve groups based on the two criteria to explore the relationships between BMI and GWG, and maternal-fetal outcomes. Among the subjects, only 23.2% and 21.8% women had a normal weight BMI and adequate GWG, based on US and Chinese criteria, respectively. As BMI and GWG increase, the likelihood of developing complications such as gestational diabetes, gestational hypertension or preeclampsia, Cesarean section, and Large for Gestational Age also rises. Conversely, underweight women with excessive GWG exhibited lower risk of preterm birth either by US or Chinese guidelines. Two criteria exhibited similar odds for investigated outcomes, except for gestational hypertension or preeclampsia. Women had more than double the odds of developing gestational hypertension or preeclampsia when using US criteria compared to Chinese criteria. Therefore, it is essential for Asian, especially Chinese women, to be aware of the differences in adverse outcomes such as gestational hypertension or preeclampsia when using US criteria.

Prepregnancy body mass index and adverse perinatal outcomes in the presence of other maternal risk factors.

BACKGROUND: High prepregnancy body mass index is one of the most common risk factors for adverse perinatal events. OBJECTIVE: This study aimed to assess whether the association between maternal body mass index and adverse perinatal outcome is modified by other concomitant maternal risk factors. STUDY DESIGN: This was a retrospective cohort study of all singleton live births and stillbirths in the United States from 2016 to 2017, using data from the National Center for Health Statistics. Logistic regression was used to estimate the adjusted odds ratios and 95% confidence intervals between prepregnancy body mass index and a composite outcome of stillbirth, neonatal death, and severe neonatal morbidity. Modification of this association by maternal age, nulliparity, chronic hypertension, and prepregnancy diabetes mellitus was assessed on both multiplicative and additive scales. RESULTS: The study population included 7,576,417 women with singleton pregnancy; 254,225 (3.5%) were underweight, 3,220,432 (43.9%) had normal body mass index, 1,918,480 (26.1%) were overweight, and 1,062,177 (14.4%), 516,693 (7.0%), and 365,357 (5.0%) had class I, II, and III obesity, respectively. Rates of the composite outcome increased with increasing body mass index above normal values, compared with women with normal body mass index. Nulliparity (289,776; 38.6%), chronic hypertension (135,328; 1.8%), and prepregnancy diabetes mellitus (67,744; 0.89%) modified the association between body mass index and the composite perinatal outcome on both the additive and multiplicative scales. Nulliparous (vs parous) women had a higher rate of increase in adverse outcomes with increasing body mass index. For example, in nulliparous women, class III obesity was associated with 1.8-fold higher odds compared with normal body mass index (adjusted odds ratio, 1.77; 95% confidence interval, 1.73-1.83), whereas in parous women, the adjusted odds ratio was 1.35 (95% confidence interval, 1.32-1.39). Women with chronic hypertension or prepregnancy diabetes mellitus had higher outcome rates overall; however, the dose-response relationship with increasing body mass index was absent. Although the composite outcome rates increased with maternal age, the risk curves were relatively similar across obesity classes in all maternal age groups. Overall, underweight women had 7% higher odds of the composite outcome, and this increased to 21% in parous women. CONCLUSION: Women with elevated prepregnancy body mass index are at increased risk of adverse perinatal outcomes, and the magnitude of these risks differs by concomitant risk factors, including prepregnancy diabetes mellitus, chronic hypertension, and nulliparity. In particular, in woman with chronic hypertension or prepregnancy diabetes mellitus, there is no impact of increasing body mass index on adverse perinatal outcomes. However, overall rates remain high, and prepregnancy prevention of hypertension and diabetes mellitus should be emphasized among all women irrespective of body mass index.