Inadequate Gestational Weight Gain Research Articles

Maternal pre-pregnancy body mass index and gestational weight gain on adverse birth outcomes in Chinese newborns: a retrospective study

BackgroundMaternal and child health is an important measure of national well-being. This study further explored the individual and combined effects of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on adverse birth weight-related outcomes.MethodsA retrospective study was carried out at a maternal and child health hospital from 2018 to 2021, and a total of 17,506 eligible women were invited to participate. The associations of pre-pregnancy BMI and GWG with adverse birth outcomes were examined by using restricted cubic spline regression and binary logistic regression.ResultsPre-pregnancy BMI and GWG had non-linear associations with low birth weight and macrosomia. They were associated with an increased risk of macrosomia (Pre-pregnancy BMI for OR = 1.170, 95%CI:1.144 to 1.197, P < 0.001, and GWG for OR = 1.071, 95%CI:1.054 to 1.089, P < 0.001) and large for gestational age infant (LGA) (Pre-pregnancy BMI for OR = 1.125, 95%CI:1.111 to 1.141, P < 0.001, and GWG for OR = 1.045, 95%CI:1.036 to 1.054, P < 0.001). The high risk of low birth weight and preterm birth was observed among the group of women with inadequate GWG. The risks of macrosomia and LGA increased with pre-pregnancy BMI from low weight to overweight and obesity, and GWG from inadequate to overabundance, while small for gestational age infant was more prevalent in the low pre-pregnancy BMI group.ConclusionsPre-pregnancy BMI and GWG exhibited non-linear associations with low birth weight and macrosomia. The various combinations of pre-pregnancy BMI and GWG had different effects on adverse birth weight-related outcomes.

Pandemic-induced healthcare shifts: an observational analysis of maternal and neonatal outcomes in adolescent pregnancies.

The COVID-19 pandemic caused widespread changes in healthcare delivery, particularly affecting vulnerable populations such as pregnant adolescents. These patients faced additional challenges, including developmental and gestational changes, stress from isolation, and altered healthcare access, which may have impacted the incidence and prevalence of maternal and neonatal complications. This study aims to compare maternal and neonatal outcomes in adolescent pregnancies before and during the pandemic, focusing on how shifts in healthcare delivery influenced these outcomes. A retrospective cohort study was conducted, including 340 adolescent pregnant patients who received prenatal care at a tertiary care institution. Patients were divided into two groups: pre-pandemic (n = 209) and pandemic (n = 131). Maternal data, including pre-BMI and gestational weight gain (GWG), were collected to evaluate maternal and neonatal outcomes. Statistical analysis was performed using chi-square tests, Fisher's exact tests, and odds ratio (OR) calculations. The pandemic group showed a statistically significant increase in cesarean deliveries (p = 0.002; OR = 1.99) and cervicovaginitis, particularly caused by Ureaplasma spp. Conversely, the pre-pandemic group had higher rates of psychoactive substance use, maternal urinary tract infections, and neonatal transient tachypnea. In the pandemic group, overweight pre-gestational BMI and cervicovaginitis were more prevalent in patients with adequate GWG, while inadequate GWG was associated with an increased risk of urinary tract infection (UTI). A significant association between pre-gestational overweight/obesity and excessive GWG was also observed (p < 0.05). The COVID-19 pandemic altered both healthcare delivery and maternal and neonatal outcomes in adolescent pregnancies. Changes in healthcare access, isolation, and shifts in medical management during the pandemic resulted in higher cesarean rates and infection rates among pregnant adolescents. These findings underscore the need for adaptable, resilient healthcare systems capable of maintaining comprehensive care even in the face of global crises. Further studies are needed to explore long-term effects on adolescent maternal and neonatal health.

Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus.

To explore the risk factors for low-birth-weight infants born to pregnant women with GDM to develop a prediction model and to construct a prediction nomogram for the risk of low birth weight infants born to pregnant women with GDM. The clinical data of singleton infants diagnosed with gestational diabetes mellitus in Southeast China in 2019 were retrospectively reviewed. Gestational conditions and neonatal weight were assessed. A total of 386 diabetic mothers and infants were enrolled, including 193 in the low birth weight group and 193 in the normal birth weight group. The statistically significant factors were age over 36 years (OR = 1.916, 95% CI 1.048-3.505), junior high school education (OR = 4.454, 95% CI 1.882-10.543), history of fetal distress (OR = 0.120, 95% CI 0.016-0.925), gestational hypertension (OR = 3.681, 95% CI 1.357-9.986), preeclampsia (OR = 24.652, 95% CI 5.956-102.036), threatened preterm birth (OR = 18.393, 95% CI 8.457-39.999), triglycerides (OR = 0.642, 95% CI 0.485-0.850), and inadequate gestational weight gain (OR = 1.997, 95% CI 1.162-3.432). The area under the receiver operating characteristic curve (AUC) was 0.834 (95% CI: 0.794-0.874, p < 0.001), and the sensitivity and specificity were 82.38 and 87.56%, respectively. The goodness-of-fit test likelihood ratio 2 was 2.089 (p = 0.978). The comprehensive nomogram model showed that the discrimination and mean absolute error were 0.834 and 0.015, respectively. The calibration curves showed acceptable agreement between the predictions of the column line plots and the observations. The DCA curves showed good positive net yields in the prediction model. This study established a prediction model and risk score for low birth weight in pregnant women with GDM. It helps pregnancy clinics to identify the risk of low birth weight in newborns promptly, in addition to glycemic control and weight management for pregnant women with GDM, and should improve the appropriate treatment plan for pregnant women with higher risk, to provide personalized and precise treatment for pregnant women with GDM and improve infant outcomes.

Association between Gestational Weight Gain and Pregnancy Outcomes in Various Body Mass Index Groups: A Retrospective Observational Study

Abstract Introduction: Body mass index (BMI) has been known to be an important determinant of pregnancy morbidities. However, multiple studies show that the effects are equally dependent on the gestational weight gain (GWG). There is a lack of data in the Indian population, especially using the Asia–Pacific guidelines of BMI. This study is meant to identify the degree of association between the GWG in different BMIs and the development of pregnancy morbidities. Materials and Methods: This was a retrospective study, in which case records of women who delivered in our hospitals during 1 year were analyzed. Pregnancy outcomes, such as growth restriction, preterm deliveries, development of hypertensive disorders, gestational diabetes, inductions, and cesareans, were analyzed in three classes of GWG inadequate, adequate, and excess GWG (as per institue of medicine guidelines). The Chi-square test was done to see the difference in the pregnancy outcomes. Results: Of the 1396 women enrolled, women with inadequate GWG had higher preterm deliveries (13.8% vs. 4.4%, P &lt; 0.001) and fetal growth restriction (8.8% vs. 3.9%, P = 0.003) with higher odds in underweight women with inadequate GWG (odds ratio [OR] of 2.6 and 1.75, respectively). Excess GWG had a significantly higher induction (34.9% vs. 29%, P &gt; 0.05) and cesarean delivery rate (34.3% vs. 21.6%, P = 0.003) with higher odds seen in obese women with excess GWG (OR of 2.6 and 1.75, respectively). Conclusion: All women having out-of-range BMI should be identified during the first antenatal contact. Inadequate GWG in underweight women and excess GWG in obese women should be strictly monitored and targeted to prevent a wide spectrum of maternal morbidities.

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.

Predictors of inadequate gestational weight gain according to iom recommendations and intergrowth-21st standards: the araraquara cohort study

BackgroundGestational weight gain (GWG) is a critical factor for maternal and fetal health.ObjectiveTo identify maternal predictors of inadequate GWG according to the 2009 Institute of Medicine (IOM) recommendations and Intergrowth-21st standards.MethodsA prospective epidemiological cohort study conducted from 2017 to 2023 in southeastern Brazil assessed 1,557 women at three different stages of pregnancy (≤ 18, 20–26, and 30–36 weeks of gestation) and at delivery. Sociodemographic, obstetric, lifestyle, nutritional, and maternal morbidity characteristics were collected, along with biochemical parameters.ResultsAmong the participants, 38.7% had GWG above IOM recommendations, while 67.5% had GWG above the Intergrowth-21st standards. Multinomial logistic regression analysis showed that women with pre-pregnancy obesity and women with the highest body fat percentage had, respectively, a 95% (OR = 1.95; 95% CI: 1.08–3.51) and 1% (OR = 1.01; 95% CI: 1.01–1.05) higher chance of GWG above IOM recommendations. Pregnant women in the lowest tertile of height, smokers, number of previous pregnancies, and women living in crowded homes had, respectively, a 57% (OR = 0.57; 95% CI: 0.41–0.80), 36% (OR = 0.64; 95% CI: 0.37–0.86), 35% (OR = 0.65; 95% CI: 0.43–0.97), and 14% (OR = 0.86; 95% CI: 0.59–0.86) lower chance of GWG above IOM recommendations. Women with diabetes were 2.53 times more likely (OR = 2.53; 95% CI: 1.32–4.83) to have GWG below IOM recommendations. Using the Intergrowth-21st standards, women with the highest body fat percentage had a 12% (OR = 1.12; 95% CI: 1.02–1.24) higher chance of GWG above the 90th percentile. Pregnant women in the lowest tertile of height were 2.82 times more likely (OR = 2.82; 95% CI: 1.08–8.13) and women with the lowest hemoglobin concentrations had a 41% lower chance (OR = 0.59; 95% CI: 0.39–0.88) of having GWG below the 10th percentile. While both guidelines identified body fat percentage and pre-pregnancy obesity as significant predictors of excessive GWG, the Intergrowth-21st standards captured a higher percentage of women exceeding GWG limits.ConclusionThe findings underscore the importance of comparing two instruments for assessing the adequacy of GWG. The IOM and Intergrowth-21st standards provide complementary insights, which can help implement targeted interventions for specific groups of women based on their nutritional and socioeconomic status, lifestyle, and obstetric factors to prevent pregnancy-related complications.

Associations of maternal lifestyle factors with inadequate pregnancy weight gain: findings from the baseline data of the LIMIT prospective cohort study.

Gestational Weight Gain (GWG) impacts maternal and fetal health; deviations from optimal ranges pose health risks. Maternal lifestyle before and during pregnancy strongly influences GWG. This study explores factors linked to inadequate GWG, focusing on Mediterranean Diet (MD) adherence and specific food consumption. 178 pregnant women were enrolled at Fondazione IRCCS Policlinico San Matteo (Pavia) during pre-hospital care before birth meeting inclusion/exclusion criteria. Sociodemographic data, pre-pregnancy BMI, GWG, MD adherence, physical activity (PA) levels, and smoking habits were retrospectively collected. Validated questionnaires adapted for the target group, assessed MD adherence and PA level. Participants were classified into adequate (AGWG) and inadequate GWG groups following IOM guidelines. Among 200 pregnant women (aged 30-36), 37.1% experienced low GWG and 24.1% excessive GWG. Our study revealed a significant association between inadequate GWG and educational level (P = 0.011); pre-pregnancy BMI (P = 0.005); MD adherence (P = 0.008), and daily average consumption of vegetables (P < 0.001). Our results also showed that a lower risk of EGWG vs. AGWG was associated with daily average consumption of vegetables (RRR = 0.279, P = 0.004), while a higher risk of EGWG vs. AGWG was associated with high daily meat product consumption (> 1.5 portions/day) (RRR = 7.83, P = 0.03). These findings emphasize the importance of promoting lifestyle changes before and during pregnancy to tackle the increasing incidence of inadequate GWG and improve the health outcomes of both mother and child.

Incidence of excessive gestational weight gain among overweight and obese women.

To determine the incidence of excessive gestational weight gain (GWG) among overweight and obese pregnant women, its associated factors, and pregnancy outcomes. A total of 355 overweight or obese singleton pregnant women who received antenatal care and delivered at Siriraj Hospital were included. Data, including obstetric characteristics, weight gain, and pregnancy outcomes, were extracted from medical records. GWG was categorized according to the Institute of Medicine recommendation. Comparisons were made between individuals with inadequate, normal, and excessive GWG. Logistic regression analysis was performed to determine independent associated factors for excessive GWG. Majority of the women were overweight (68.7%), 38.9% were nulliparous, and mean pre-pregnancy body mass index was 28.9 kg/m2. Excessive GWG was observed in 53% of the women. Women with excessive GWG had significantly higher weight gain in every trimester. Risk of excessive GWG increased in women ≤30 years of age, while gestational diabetes (GDM) significantly decreased the risk. Women with excessive GWG had a significantly higher primary cesarean section rate. Both women with normal and excessive GWG showed higher rate of having large for gestational age (LGA) infants (P=0.003). Maternal age of ≤30 years significantly increased the risk of excessive GWG (adjusted odds ratio [OR], 1.91; 95% confidence interval [95% CI], 1.11-3.27) and GDM significantly decreased this risk (adjusted OR, 0.40; 95% CI, 0.24-0.67). The incidence of excessive GWG among overweight and obese women was 53%. Maternal age of ≤30 years significantly increased this risk while women with GDM were at significantly decreased risk. Rates of primary cesarean section and fetal LGA significantly increased in women with excessive GWG.

Association Between Gestational Weight Gain and Delayed Onset of Lactogenesis II: a Systematic Review and Meta-Analysis.

Background: Gestational weight gain (GWG) may be associated with delayed onset of lactogenesis II (DOL II), but it is still unclear and controversial. Object: The study aims to evaluate the relationship between GWG and DOL II. Methods: A comprehensive search was performed in 10 electronic databases from inception to May 21, 2023, for studies that reported outcomes in breastfeeding. Data were extracted by two independent reviewers. A meta-analysis was conducted to calculate the pooled estimates of association using random-effect models with Review Manager (RevMan) software version 5.4. The primary outcome was the rate of DOL II. Results: In this study, 248,515 women were included in 16 eligible articles. Women with excessive GWG have a higher risk of DOL II (odds ratio [OR] = 1.28; 95% confidence interval [CI]: 1.15-1.43). Specifically, prepregnancy overweight and obese women with GWG above recommendations (OR = 3.01, 95% CI: 1.38-6.57) and underweight women with excessive GWG before pregnancy have a higher risk of DOL II (OR = 3.32, 95% CI: 1.69-6.53). Nonetheless, there is no distinction between women with inadequate GWG and those with adequate GWG in DOL II(OR = 1.08, 95% CI: 0.88-1.33). In addition, the women whose GWG is above the recommendations also tend to stop exclusive breastfeeding 1 month postpartum (OR = 0.82, 95% CI: 0.80-0.85). Conclusion: Excessive GWG has a negative influence on the timing of the onset of lactogenesis and exclusive breastfeeding within 1 month postpartum.

Gestational weight gain as a mediator of the relationship between pre-pregnancy body mass index and the risk of preterm birth: A four-way decomposition analysis.

The aim of the present study was to examine and quantify whether the association between preterm birth (PTB) and pre-pregnancy body mass index (BMI) is mediated by gestational weight gain (GWG). This is a secondary analysis of a large randomized community non-inferiority trial using a cohort design. The data of 26 101 pregnant women in their first trimester who sought prenatal care and met eligibility criteria were included. The four-way decomposition method was applied to screen for all types of association effects of pre-pregnancy BMI on the risk of PTB. These effects include the total, direct, and various indirect effects including pure mediation via GWG, interactive effects with GWG, and mediated interaction with GWG, all adjusted for potential confounders. Among the study participants, 24 461 (93.7%) had term deliveries, while 1640 (6.3%) experienced PTB. The results of the study showed that there was a positive association between pre-pregnancy BMI among those with BMI more than 25 kg/m2 and the risk of PTB and this association was negatively mediated and interacted by GWG, which differed quantitatively between those who had inadequate, adequate, or excessive GWG. The total association effect showed that the risk was lowest for those who had underweight pre-pregnancy BMI and adequate GWG (excess relative risk [RR]: 0.06, 95% CI: 0.01-0.11, P value: 0.022) and was highest for those who had obese pre-pregnancy BMI and excessive GWG (excess RR: 0.67, 95% CI: 0.35-1.00, P value <0.001). The findings of the present prospective population-based study demonstrated that pre-pregnancy BMI >25 kg/m2 is directly and positively associated with the risk of preterm birth. The highest risk of preterm birth was observed among individuals with an obese pre-pregnancy BMI who also experienced excessive GWG.

Total Gestational Weight Gain Is Explained by Leptin and Body Fat, Regardless of Pre-Pregnancy Body Mass Index and Other Adipokines, in Mexican Adolescents.

Pre-pregnancy body mass index (pBMI) is a predictor of gestational weight gain (GWG). However, other factors, such as adipokines and inflammation markers, may also be associated with GWG. The aim of the study was to determine the association of leptin, adiponectin, irisin, and C-reactive protein, with GWG in adolescents. A longitudinal study was conducted from 2018 to 2023 in adolescents with a clinically healthy pregnancy. The assessments included sociodemographic and clinical data, pBMI, percent of body fat, serum concentrations of leptin, adiponectin, irisin, and high-sensitivity C-reactive protein (hsCRP), and total GWG adequacy. Cox regression models were performed, the outcome variables were inadequate and excessive GWG. In 198 participants, being overweight/obesity was marginally associated with a protective effect against inadequate GWG (HR = 0.44, 95%CI = 0.18-1.06), regardless of maternal characteristics and adipokines. Leptin (HR = 1.014, 95%CI = 1.008-1.021), and body fat percent (HR = 1.11, 95%CI = 1.05-1.17) were associated with a higher risk of excessive GWG, independent of other maternal variables such as pBMI, while adiponectin was associated with a lower risk. These findings suggest that, in Mexican adolescents, adipose tissue and its adipokines during pregnancy may play a more significant role in the final GWG than body weight.

Contribution of Gestational Weight Gain to Childhood Asthma Phenotypes: A Prospective Cohort Study

BackgroundThe contribution of prenatal anthropometric measures to the development of specific childhood asthma phenotypes is not known. ObjectiveWe aimed to evaluate associations between prepregnancy body mass index (BMI) and gestational weight gain (GWG) with allergic and non-allergic asthma phenotypes in childhood. MethodsOur study population included term, healthy infants in the middle Tennessee region of the United States. Prepregnancy BMI and GWG were ascertained from questionnaires administered during early infancy and categorized based on World Health Organization (WHO) and Institute of Medicine (IOM) recommendations, respectively. Allergic asthma was defined as 5-year current asthma and a positive skin test or specific IgE to aeroallergen(s). We used multivariable logistic regression models for asthma and multinomial logistic regression models for non-asthma, allergic asthma, and non-allergic asthma. ResultsA total of 1,266 children were included. At the 5-year follow-up, 194 (15.3%) had asthma; among them, 102 (52.6%) had allergic asthma. Both inadequate and excessive GWG, compared to adequate GWG, were associated with increased odds of asthma (inadequate: aOR 1.76 [95% CI: 1.03–2.98]; excessive: aOR 1.70 [95% CI: 1.12–2.57]) and increased odds of allergic asthma compared to no asthma (inadequate: aOR 3.49 [95% CI: 1.66–7.32]; excessive: aOR 2.55 [95% CI: 1.34–4.85]). Prepregnancy BMI was not associated with asthma nor with asthma phenotypes. ConclusionBoth inadequate and excessive GWG were associated with allergic asthma risk. These results support the benefits of optimal GWG during pregnancy on child health outcomes.

Gestational Weight Gain and Neonatal Biometry during the COVID-19 Pandemic: A Multicenter Observational Cohort.

This study aimed to test the hypothesis that being pregnant and delivering during the coronavirus disease 2019 (COVID-19) pandemic was associated with changes in gestational weight gain (GWG) or frequency of small- (SGA) or large-for-gestational-age (LGA) neonates. Secondary analysis of a multicenter observational cohort comparing pregnant people who delivered during the COVID-19 pandemic (June-December 2020) to people who delivered prior to the pandemic (March-December 2019). Those with multiple gestations, fetuses with major congenital anomalies, implausible GWG values, unavailable body mass index (BMI), or who were severe acute respiratory syndrome coronavirus-2-positive were excluded. The primary outcome was frequency of optimal recommended GWG based on prepregnancy BMI. Neonatal outcomes included birth weight, ponderal index, and frequency of SGA, LGA, and small head circumference for live births. Multivariable regression analysis was used to assess associations between exposure to the pandemic and outcomes. A total of 10,717 pregnant people were included in our analysis. A total of 4,225 pregnant people were exposed to the pandemic and 6,492 pregnant people delivered prior to the COVID-19 pandemic. Pregnant people exposed to the pandemic were older and more likely to have gestational diabetes. The frequency of appropriate GWG was 28.0% during the pandemic and 27.6% before the pandemic (adjusted odds ratio [aOR]: 1.02, 95% confidence interval [CI]: 0.93-1.11). Excessive GWG was more likely (54.9 vs. 53.1%; aOR: 1.08, 95% CI: 1.001-1.17), and inadequate GWG was less likely during the pandemic (17.0 vs. 19.3%; aOR: 0.86, 95% CI: 0.77-0.95). The frequency of SGA was 5.4% during the pandemic and 6.1% before the pandemic (aOR: 0.90, 95% CI: 0.76-1.06), and the frequency of LGA was 16.0% during the pandemic versus 15.0% before the pandemic (aOR: 1.06, 95% CI: 0.95-1.18). Other neonatal outcomes including birth weight percentile (62.1 [35.8-83.2] vs. 60.2 [34.4-82.2]; adjusted mean difference (aMD) = 1.50, 95% CI: -0.28 to 3.29), ponderal index (2.6 g/cm3 [2.4-2.8] in both groups; aMD = 0.01, 95% CI: 0.00-0.02), and small head circumference for livebirths (<10th percentile [8.2 vs. 8.1%; aOR: 1.03, 95% CI: 0.89-1.19], <3rd percentile [3.5 vs. 3.1%; aOR: 1.16, 95% CI: 0.93-1.44]) were similar between groups as well. Being pregnant and delivering during the COVID-19 pandemic was associated with a higher likelihood of excessive GWG and a lower likelihood of inadequate GWG. · Delivering during the COVID-19 pandemic was associated with higher likelihood of excessive GWG.. · Delivering during the COVID-19 pandemic was associated with lower likelihood of inadequate GWG.. · COVID-19 pandemic was not associated with changes in frequency of SGA or LGA..

Association between maternal gestation weight gain and preterm birth according to pre-pregnancy body mass index and HbA1c

Background To investigate the association between gestational weight gain (GWG) and preterm birth (PTB) according to pre-pregnancy body mass index (pp-BMI) and glycated haemoglobin (HbA1c) within the normal range. Methods We conducted a population-based retrospective cohort study between July 2017 and January 2020 at Women’s Hospital, Zhejiang University School of Medicine. Women were classified into three groups (inadequate GWG, appropriate GWG, and excessive GWG). In addition, women were divided into different subgroups according to pp-BMI and HbA1c. We estimated the odds ratios (OR) with 95% confidence intervals (CI) to assess the associations between GWG and the risk of PTB. Meanwhile, we adjusted for possible confounding factors, including maternal age, infant sex, family history of diabetes, education, pregnancy mode, delivery mode, parity, and gravidity. Results The study involved 23,699 pregnant women, of which 1124 (4.70%) were PTB. Women who had inadequate GWG were found to have a significantly higher risk of PTB compared to women with appropriate GWG. In contrast, women with excessive GWG had a reduced risk of PTB. Similarly, GWG and PTB had similar risk associations in the HbA1c and pp-BMI subgroups. Among women with pp-BMI <18.5 kg/m2, women with inadequate GWG had a significantly increased risk of PTB compared with women in the control group (HbA1c 4.6–5.0%, appropriate GWG), and the risk increased with increasing HbA1c levels. Similar results were observed in women with normal pp-BMI. Conclusions There was a significant association between GWG and the risk of PTB, but the risk varied by pp-BMI and HbA1c levels. Reasonable weight gain during pregnancy is essential to prevent PTB. Furthermore, while HbA1c is within the normal range, the higher levels should be noticed.

Pre-Gestational Obesity and Gestational Weight Gain as Predictors of Childhood Obesity

To evaluate the associations of pre-gestational body mass index (BMI) and gestational weight gain (GWG) with the risks of overweight, obesity, and adiposity in the first seven years of life in the offspring of a cohort of pregnant women. Analysis of 751 mothers and their children participating in the PROGRESS cohort. These women were recruited in Mexico City between 2007 and 2010. Pre-gestational BMI was classified as normal, overweight, and obesity according to the WHO. GWG was calculated as the difference between the last reported pre-pregnancy weight and the pre-gestational weight and categorized as inadequate, adequate, or excessive, according to US IOM recommendations. Children's anthropometry was evaluated at 4-5 and 6-7 years of age. Adiposity was classified into three groups: normal (BMI z-score and waist circumference), overweight (BMI z-score>1), and overweight plus abdominal obesity (OW+AO). A generalized structural equation model (GSEM) was constructed to account for the temporal relationship between variables and to assess direct and indirect effects. A total of 49.3% of the women had excessive (13.8 ± 4.2 kg) and 19.8% inadequate (3.15 ± 3.4 kg) GWG. Women with pre-gestational overweight or obesity were more likely to have excessive GWG (OR 1.9 [95% CI: 1.32, 2.74] and 3.50 [95% CI: 1.83, 6.69], respectively). In the GSEM, excessive GWG was directly associated with OW+AO at 4-5 years. At 6-7 years, pre-gestational obesity was associated with OW+AO. Pre-gestational obesity and excessive GWG were independent predictors of childhood obesity.

Targeting strategies for balanced energy and protein (BEP) supplementation in pregnancy: study protocol for the TARGET-BEP cluster-randomized controlled trial in rural Bangladesh

BackgroundThe World Health Organization (WHO) recommends balanced energy and protein (BEP) supplementation be provided to all pregnant women living in undernourished populations, usually defined as having a prevalence > 20% of underweight women, to reduce the risk of stillbirths and small-for-gestational-age neonates. Few geographies meet this threshold, however, and a large proportion of undernourished women and those with inadequate gestational weight gain could miss benefiting from BEP. This study compares the effectiveness of individual targeting approaches for supplementation with micronutrient-fortified BEP vs. multiple micronutrient supplements (MMS) alone as control in pregnancy in improving birth outcomes.MethodsThe TARGET-BEP study is a four-arm, cluster-randomized controlled trial conducted in rural northwestern Bangladesh. Eligible participants are married women aged 15–35 years old identified early in pregnancy using a community-wide, monthly, urine-test-based pregnancy detection system. Beginning at 12–14 weeks of gestation, women in the study area comprising 240 predefined sectors are randomly assigned to one of four intervention arms, with sector serving as the unit of randomization. The interventions involving daily supplementation through end of pregnancy are as follows: (1) MMS (control); (2) BEP; (3) targeted BEP for those with pre-pregnancy body mass index (BMI) < 18.5 kg/m2 and MMS for others; (4) targeted BEP for those with pre-pregnancy BMI < 18.5 kg/m2, MMS for others, and women with inadequate gestational weight gain switched from MMS to BEP until the end of pregnancy. Primary outcomes include birth weight, low birth weight (< 2500 g), and small for gestational age, defined using the 10th percentile of the INTERGROWTH-21st reference, for live-born infants measured within 72 h of birth. Project-hired local female staff visit pregnant women monthly to deliver the assigned supplements, monitor adherence biweekly, and assess weight regularly during pregnancy. Trained data collectors conduct pregnancy outcome assessment and measure newborn anthropometry in the facility or home depending on the place of birth.DiscussionThis study will assess the effectiveness of targeted balanced energy and protein supplementation to improve birth outcomes among pregnant women in rural Bangladesh and similar settings.Trial registrationClinicalTrials.gov NCT05576207. Registered on October 5th, 2022.

Association between Gestational Weight Gain and Maternal and Birth Outcomes in Northern Ghana.

Although inappropriate gestational weight gain is considered closely related to adverse maternal and birth outcomes globally, little evidence was found in low- and middle-income countries. Study Objectives. This study is aimed at identifying the determinants of gestational weight gain and examine the association between gestational weight gain and maternal and birth outcomes in the Northern Region of Ghana. Study Methods. The study used a facility-based cross-sectional study design involving 611 antenatal and delivery records in Tatale district, Tamale west, and Gushegu municipal hospitals. A two-stage sampling method involving cluster and simple random sampling was employed. Descriptive statistical analysis and measures of central tendency were used to describe the sample. The multinomial logistic regression model was used to determine the determinants of gestational weight gain and its association with maternal and birth outcomes. Among the 611 women included in the study, 516 (84.45%) had inadequate gestational weight gain, and 19 (3.11%) had excessive gestational weight gain. The gestational weight gain ranged from 2 kg to 25 kg with a mean of 7.26 ± 3.70 kg. The risk factor for inadequate gestational weight gain was low prepregnancy BMI (adjusted odds ratio (AOR) = 1.33, 95% CI = 1.18 - 2.57, P = 0.002). Pregnant women who had inadequate gestational weight gain were significantly less likely to deliver through caesarean section (AOR = 0.27, 95% CI = 0.12 - 0.61, P = 0.002), and those who had excessive weight gain were more likely to undergo caesarean section (AOR = 19.81, 95% CI = 5.38 - 72.91, P = 0.001). The odds of premature delivery (birth < 37 weeks) among pregnant women with inadequate weight gain were 2.88 (95% CI = 1.27 - 6.50, P = 0.011). Furthermore, subjects who had excessive weight gain were 43.80 times more likely to give birth to babies with macrosomia (95% CI = 7.07 - 271.23, P = 0.001). Inappropriate gestational weight gain is prevalent in Ghana, which is associated with caesarean section, preterm delivery, delivery complications, and macrosomia. Urgent policy interventions are needed to improve on the frequent monitoring and management of gestational weight gain of pregnant women till term.

Effect of gestational weight gain on growth trajectory in children aged 0 to 3 years

To describe the growth trajectory of body mass index for age Z score(BAZ) in children aged 0 to 3 years and to explore the association between gestational weight gain and BAZ growth trajectory. Based on a prospective cohort study, we recruited pregnant women in their early pregnancy into this study from 2013 to 2017 in Taicang of Jiangsu Province, tracked their weight changes until they gave birth, and calculated and evaluated their gestational weight gain(GWG) as appropriate, inadequate or excessive GWG based on Chinese GWG standard. Children&apos;s height/length and weight were measured at birth, 1, 3, 6, 8, 12, 18, 24, 30 and 36 months of age, and their BAZ scores were calculated. Group-based trajectory modeling(GBTM) was used for fitting BAZ trajectories. Multilevel Logistic regression was used to analyze the association between the level of GWG and BAZ growth trajectories. There were 1864 mother-child pairs in the study, and three groups of BAZ trajectories were fitted including slow growth trajectory(34.07%), appropriate growth trajectory(48.23%), and fast growth trajectory(17.70%). In univariate analysis, compared with children whose mothers had appropriate GWG, the children whose mothers had inadequate GWG were more likely in the group of slow growth trajectory(OR = 1.95, 95%CI 1.28-2.96), and the children whose mothers had excessive GWG were more likely in the group of fast growth trajectory(OR = 1.57, 95% CI 1.19-2.07). After adjusting for maternal pre-pregnancy body mass index(BMI) and parity, and the child&apos;s gender and birth weight, the children whose mothers gained in adequate GWG were more likely in the group of slow growth trajectory(OR = 1.84, 95%CI 1.19-2.84), while the association between excessive GWG and fast growth trajectory was not statistically significant(OR = 1.26, 95%CI 0.94-1.68). The BAZ trajectories of children aged 0-3 years can be categorized into slow, appropriate, and fast growth groups, and children&apos;s slow growth was associated with maternal inadequate GWG.

Food insecurity during pregnancy in high-income countries, and maternal weight and diet: A systematic review and meta-analysis.

Food insecurity is a well-established obesity driver. Less is known about food insecurity during pregnancy. This review (PROSPERO:CRD42022311669) aimed to explore associations between food insecurity, maternal obesity, gestational weight gain (GWG), and nutrition. Searches included seven databases, gray literature, references, citations, and contacting authors. Observational studies reporting data from January 1st, 2008 to 21 November 2023 in high-income countries were included. Duplicate screening, data extraction, and quality assessments were performed. Random effects meta-analysis estimated odds ratios (OR), mean difference (MD), and 95% confidence intervals (CI). Narrative synthesis was conducted when data could not be pooled. Database searches identified 22,272 results; 20 studies were included (n = 19 North America, n = 1 Europe; n = 32,803 women). Food insecurity significantly increased obesity (OR 1.53 95%CI 1.39, 1.66), but not underweight (OR 1.12 95%CI 0.89, 1.34) or overweight (OR 1.18 95%CI 0.90, 1.46). Food insecurity significantly reduced GWG (MD -0.42 kg 95%CI -0.62, -0.22) and increased inadequate GWG (OR 1.16 95%CI 1.05, 1.28), but not excessive GWG (OR 1.04 95%CI 0.96, 1.13). Diet outcomes were inconsistent, with some evidence of reduced vitamin E and diet quality and increased red/processed meat consumption. Further studies outside of North America are needed to inform practice and policy to support maternal health.

The association of maternal gestational weight gain with cardiometabolic risk factors in offspring: a systematic review and meta-analysis.

Gestational weight gain (GWG) is known to be a risk factor for offspring obesity, a precursor of cardiometabolic diseases. Accumulating studies have investigated the association of GWG with offspring cardiometabolic risk factors (CRFs), leading to inconsistent results. This study synthesized available data from cohort studies to examine the effects of GWG on offspring CRFs. Four electronic databases, including PubMed, Web of Science, Scopus, and Embase, were searched through May 2023. Cohort studies evaluating the association between GWG and CRFs (fat mass [FM], body fat percentage [BF%], waist circumference [WC], systolic blood pressure [SBP] and diastolic blood pressure, high-density-lipoprotein cholesterol [HDL-C] and low-density-lipoprotein cholesterol, triglyceride [TG], total cholesterol, fasting blood glucose, and fasting insulin levels) were included. Regression coefficients, means or mean differences with 95% confidence intervals [CIs], or standard deviations were extracted. Thirty-three cohort studies were included in the meta-analysis. Higher GWG (per increase of 1 kg) was associated with greater offspring FM (0.041 kg; 95% CI, 0.016 to 0.067), BF% (0.145%; 95% CI, 0.116 to 0.174), WC (0.154 cm; 95% CI, 0.036 to 0.272), SBP (0.040 mmHg; 95% CI, 0.010 to 0.070), and TG (0.004 mmol/L; 95% CI, 0.001 to 0.007), and with lower HDL-C (-0.002 mmol/L; 95% CI, -0.004 to 0.000). Consistently, excessive GWG was associated with higher offspring FM, BF%, WC, and insulin, and inadequate GWG was associated with lower BF%, low-density lipoprotein cholesterol, total cholesterol, and TG, compared with adequate GWG. Most associations went non-significant or attenuated with adjustment for offspring body mass index or FM. Higher maternal GWG is associated with increased offspring adiposity, SBP, TG, and insulin and decreased HDL-C in offspring, warranting a need to control GWG and to screen for cardiometabolic abnormalities of offspring born to mothers with excessive GWG. PROSPERO registration no. CRD42023412098.