Gestational Weight Gain Categories Research Articles

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.

Polybrominated diphenyl ethers and gestational weight gain: a multi-center prospective cohort study.

To evaluate the associations of plasma polybrominated diphenyl ether (PBDE) concentrations in early pregnancy with gestational weight gain (GWG). Prospective cohort study. US-based, multicentre cohort of pregnant women. We used data from 2052 women without obesity and 397 women with obesity participating in the NICHD Fetal Growth Studies - Singleton Cohort, with first-trimester plasma PBDE concentrations and weight measurements throughout pregnancy. We applied generalised linear models and Bayesian kernel machine regression (BKMR) to evaluate both the individual and joint associations of PBDEs with measures of GWG, adjusting for potential confounders. Total GWG (kg), total and trimester-specific GWG velocities (kg/week), and GWG categories and trajectory groups. Mean pre-pregnancy BMIs were 23.6 and 34.5 kg/m2 for women without and with obesity, respectively. Among women without obesity, there were no associations of PBDEs with any GWG measure. Among women with obesity, one standard deviation increase in log-transformed PBDE 47 was associated with a 1.87 kg higher total GWG (95% CI 0.39-3.35) and a 0.05 kg/week higher total GWG velocity (95% CI 0.01-0.09). Similar associations were found for PBDE 47 in BKMR among women with obesity, and PBDE 47, 99 and 100 were associated with lower odds of being in the low GWG trajectory group. PBDEs were not associated with GWG among individuals without obesity. Among those with obesity, only PBDE 47 showed consistent positive associations with GWG measures across multiple statistical methods. Further research is needed to validate this association and explore potential mechanisms.

Impact of bariatric surgery on maternal gestational weight gain and pregnancy outcomes in women with obesity: A population-based cohort study from Qatar.

Bariatric surgery is performed in obese women of reproductive age to help achieve a healthy prepregnancy weight to reduce the complications associated with obesity in pregnancy. However, these procedures can impact maternal nutrition and gestational weight gain (GWG). This study evaluates the maternal and neonatal outcomes in women with prepregnancy bariatric surgery and determines the impact on GWG. This study included 24 weeks gestation or more pregnancies, with a maternal BMI at delivery of 30 kg/m2 or more. It was categorized into two groups based on whether they had prepregnancy bariatric surgery (exposed) or not (unexposed). The outcomes included gestational diabetes (GDM), gestational hypertension (GHT), mode of delivery, preterm birth (PTB), GWG, birthweight (BW) and customized BW centiles, low birthweight (LBW), congenital anomalies, and admission to the neonatal intensive unit (NICU). Categorization was also done based on the adequacy of GWG (low, adequate, and excess). A total of 8,323 women were included in the study, 194 of whom had prepregnancy bariatric surgery. After adjusting for confounders, the exposed group had a mean GWG 1.33 kg higher than the unexposed group (95% CI 0.55-2.13, p=0.001). The exposed group had higher odds of PTB (aOR 1.78, 95% CI 1.16-2.74, p=0.008), CD (aOR 6.52, 95% CI 4.28-9.93, p<0.001), LBW in term babies (aOR 2.60, 95% CI 1.34-5.03, p=0.005), congenital anomalies (aOR 2.64, 95% CI 1.21-5.77, p=0.015), low APGAR score (aOR 3.75, 95% CI 1.12-12.5, p=0.032) and 80.4g lesser birthweight (95% CI -153.0, -5.8; p=0.034). More women in the low GWG category had LBW babies (28.6% versus 6.7% in the high GWG group, p=0.033), lowest mean BW and median BW centiles (2775 grams versus 3289 grams in the high GWG group, p=0.004 and 57.5% versus 74.5% in the high GWG group, p=0.040, respectively). The findings of this study highlight differences in perinatal outcomes such as preterm birth, low birth weight, congenital anomalies, cesarean deliveries, and gestational weight gain between post-bariatric women and controls. These insights can help inform the planning and provision of appropriate maternity care to enhance patient safety and outcomes. The results of this study can also guide the counseling of reproductive age-group women who are planning to undergo bariatric surgery.

Validation of Long-term Recall of Pregnancy-related Weight in the Life-course Experiences And Pregnancy Study.

Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are determinants of maternal and child health. However, many studies of these factors rely on error-prone self-reported measures. Using data from Life-course Experiences And Pregnancy (LEAP), a US-based cohort, we assessed the validity of prepregnancy BMI and GWG recalled on average 8 years postpartum against medical record data treated as alloyed gold standard ("true") values. We calculated probabilities of being classified into a self-reported prepregnancy BMI or GWG category conditional on one's true category (analogous to sensitivities and specificities) and probabilities of truly being in each prepregnancy BMI or GWG category conditional on one's self-reported category (analogous to positive and negative predictive values). There was a tendency toward under-reporting prepregnancy BMI. Self-report misclassified 32% (95% confidence interval [CI] = 19%, 48%) of those in LEAP with truly overweight and 13% (5%, 27%) with obesity into a lower BMI category. Self-report correctly predicted the truth for 72% (55%, 84%) with self-reported overweight to 100% (90%, 100%) with self-reported obesity. For GWG, both under- and over-reporting were common; self-report misclassified 32% (15%, 55%) with truly low GWG as having moderate GWG and 50% (28%, 72%) with truly high GWG as moderate or low GWG. Self-report correctly predicted the truth for 45% (25%, 67%) with self-reported high GWG to 85% (76%, 91%) with self-reported moderate GWG. Misclassification of BMI and GWG varied across maternal characteristics. Findings can be used in quantitative bias analyses to estimate bias-adjusted associations with prepregnancy BMI and GWG.

Gestational weight trajectory and risk of adverse pregnancy outcomes among women with gestational diabetes mellitus: A retrospective cohort study.

The aim of this study was to explore gestational weight gain (GWG) trajectoriesand their associations with adverse pregnancy outcomes. A retrospective cohort study including 11,064 women with gestational diabetes mellitus (GDM) was conducted between 2015 and 2019 in China. The latent class trajectorymodelwas used to identify GWG trajectories, and logistic regression was performed to examine odds ratio (OR) of pregnancy outcomes. Three trajectories of GWG were identified in these 11,604 women with GDM. Trajectory 1: 64.02% of women had sustained moderate GWG throughout pregnancy; Trajectory 2: 17.75% of women showed a high initial GWG but followed by a low GWG from the third trimester until delivery; Trajectory 3: 18.23% had low initial GWG but followed by drastic GWG from the second trimester until delivery. Compared withpregnant women with Trajectory 1, women with Trajectory 2 had a higher risk of large for gestational age (adjusted odds ratio[AOR]: 1.29, 95% confidence interval [CI]: 1.12-1.48)but at a lower risk of having hypertensive disorders of pregnancy (AOR: 0.76, 95%CI: 0.57-0.96). Women in Trajectory 3 were more likely to develop small for gestational age (AOR: 2.12, 95%CI: 1.62-2.78), low birthweight (AOR: 1.49, 95%CI: 1.07-2.08), preterm birth (AOR: 1.28, 95%CI: 1.05-1.63), caesarean section (AOR: 1.26, 95%CI: 1.112-1.42) and hypertensive disorders of pregnancy (AOR: 2.24, 95%CI: 1.82-2.76). The association of GWG trajectory with adverse pregnancy outcomes differs across prepregnancy body mass indexand GWG categories. Women with a slow initial GWG but followed by drastic GWG had higher risks of adverse pregnancy outcomes. Early clinical recognition of poor GWG trajectory will contribute to early intervention in high-risk groups to minimise adverse outcomes.

Associations between gestational weight gain under different guidelines and adverse birth outcomes: A secondary analysis of a randomized controlled trial in rural western China.

Several gestational weight gain (GWG) guidelines have been established based on monocenter or multicenter researches. We aimed to examine the associations between categories of GWG under the Institute of Medicine (IOM) recommendation guideline, the Chinese National Health Commission (NHC) guideline, and weight-gain-for-gestational-age z-scores derived from the INTERGROWTH-21st Project and adverse birth outcomes. We used data from an antenatal micronutrient supplementation trial in rural western China between 2002 and 2006. Maternal weekly average GWG during the second and third trimesters was calculated and classified into inadequate, adequate and excessive GWG according to the IOM and NHC, respectively. Weight-gain-for-gestational-age z-scores derived from the INTERGROWTH-21st Project were grouped into three subgroups using two approaches: z-score percentile<25th, 25th to 75th, >75th and z-score <-1, -1 to 1, >1 SD. Infant birth weight and gestational age were measured using standard approaches. Generalized linear model with binomial family and logit link was applied to estimate the odds ratio (OR) and 95% confidential intervals (CI) for GWG categories and adverse birth outcomes. Among 1,239 women with normal weight (18.5 kg/m2 to 23.9 kg/m2) during early pregnancy, 18.0% and 34.2% were classified as adequate GWG according to IOM and NHC, respectively. Less than half of Chinese women reached optimal GWG by any recommendation guideline. According to NHC, excessive GWG showed a significant association with macrosomia (OR 3.75, 95% CI 1.03, 13.74), large-for-gestation-age (LGA) (OR 2.12, 95% CI 1.01, 4.45), and inadequate GWG was associated with post-term birth (OR 2.25, 95% CI 1.21, 4.16), compared with adequate GWG. Inappropriate GWG was associated with adverse birth outcomes even among women with normal weight during early pregnancy. The monitoring and interventions of weight status during pregnancy, especially for the second and third trimesters, are of great public health importance for optimal birth outcomes. Additionally, developing guideline of appropriate GWG ranges should account for the traits of regional population.

Associations of gestational weight gain with birth weight outcomes in early pregnancy weight loss women: Findings from the Beijing Birth Cohort Study.

To explore the relationship between gestational weight gain (GWG) and birth weight outcomes and establish suggested GWG patterns in early pregnancy weight loss women. This retrospective study was conducted based on the Beijing Birth Cohort Study from 2014 to 2021 and included 20 688 women. Weight change in early pregnancy was calculated using weight measurements within 16 weeks of gestation. Multivariable logistic regression was used to analyze the relationships of different GWG categories, based on the Chinese standard, and birth weight outcomes. The statistical-based approach was used to determine the optimal GWG ranges and weekly weight gain. Compared to 3313 women who gained appropriate weight in early pregnancy, 2614 women who lost weight in the same period increased the risk of small for gestational age (SGA) (OR = 1.43, 95% CI: 1.14-1.80, P = 0.002). However, the relationship disappeared after adjusting for total GWG. Among the early pregnancy weight loss women, both excessive GWG and inadequate GWG were associated with adverse birth weight outcomes after adjusting for confounders. The suggested GWG range and rate were 11.0 ~ 16.0 kg and 0.46 to 0.67 kg/week from 16 weeks to delivery for women with normal body mass index (BMI) and weight loss in early pregnancy. Weight loss in early pregnancy was not the independent risk factor of birth weight outcomes. GWG may offset the expected effects. To achieve optimal outcomes, women with normal BMI and weight loss in early pregnancy need to have a higher weight gain rate in mid-late pregnancy but similar total GWG ranges with the Chinese standard for general women.

Validation of gestational weight gain records on South Carolina birth certificate data

ObjectiveTo examine the accuracy of gestational weight gain (GWG) reported on birth certificates (BCs) in comparison with electronic medical records (EMRs), the gold standard.MethodsBC data and EMR data were from a random sample of pregnant women who enrolled in CenteringPregnancy program, a type of group-based prenatal care, at three obstetric clinics in South Carolina between 2015 and 2019 (n = 206). Retrospective review of EMR data on patients’ prepregnancy BMI and GWG according to 2009 Institute of Medicine guidelines was conducted. Analyses involved summarizing the variables by their mean and mean differences per data source, and then calculating percent-weighted agreement and kappa statistics.ResultsThe mean values of BMI, delivery weight and total weight gain were similar between BC and EMRs. Data correlation for variables was high for both data sources (height: r = 0.94, prepregnancy weight: r = 0.93, prepregnancy BMI: r = 0.92, delivery weight: r = 0.96, total weight gain: r = 0.60). The BCs slightly underestimated the proportion of women in the normal-weight BMI category but overestimated the proportion in the overweight BMI category. Additionally, BCs slightly overestimated women with inadequate GWG and underestimated those with excessive GWG. Overall, the BC and EMR data were in agreement regarding prepregnancy BMI (weighted-agreement = 90%, Kappa = 0.78) and GWG categories (weighted-agreement = 84%, Kappa = 0.63).ConclusionBC estimates of prepregnancy BMI and GWG categories were similar to those recorded in the EMRs. The South Carolina BC database is a valid database for gestational weight and can provide reasonable estimates for the state in the evaluation of the CenteringPregnancy program.

Low gestational weight gain (+2.0 to 4.9 kg) for singleton-term gestations associated with favorable perinatal outcomes for all prepregnancy obesity classes

Previous studies that evaluated low gestational weight gain or weight loss among prepregnancy obesity classes have not determined the amount of gestational weight gain associated with the lowest risk of adverse perinatal outcomes and neonatal morbidity among singleton term births. This study aimed to evaluate the relationship of specific gestational weight gain categories of weight loss, stable weight, and low gain considered below the 2009 Institute of Medicine guidelines to perinatal outcomes and neonatal morbidity for singleton, term live births among prepregnancy obesity classes. This was a retrospective cohort study of 18,476 women among 3 classes of prepregnancy obesity, based on measured prepregnancy weight, and delivering a live singleton pregnancy at ≥37 weeks of gestation at a Kaiser Permanente Northern California hospital (2009-2012). Variables from electronic medical records included perinatal outcomes, sociodemographics, and measured prepregnancy and delivery weights to calculate total gestational weight gain, used to define 5 gestational weight gain categories: weight loss (<-2.0 kg), stable weight (-2.0 to +1.9 kg), low gain (+2.0 to 4.9 kg), gain within guidelines (+5.0 to 9.1 kg; referent), and gain above guidelines (>9.1 kg). Logistic regression models estimated adjusted odds ratios and 95% confidence intervals of maternal and newborn perinatal outcomes (hypertensive disorders, cesarean delivery, size for gestational age, length of stay, neonatal intensive care unit admission) associated with gestational weight gain categories stratified by prepregnancy obesity classes 1, 2, and 3. Low gain occurred in 8%, 12%, and 13% of women in obesity class 1 (body mass index, 30.0-34.9), class 2 (body mass index, 35.0-39.9), and class 3 (body mass index, ≥40), respectively. Compared with gestational weight gain within Institute of Medicine guidelines, low gain was associated with similar or improved maternal and newborn perinatal outcomes for all obesity classes without increased odds of neonatal intensive care unit admission, neonatal length of stay ≥3 days, or small for gestational age. The percentages of small for gestational age for the low gain category were 4.4%, 3.0%, and 4.3% among prepregnancy obesity classes 1, 2, and 3, respectively, and comparable with the gestational weight gain within the guideline category (P>.05). The adjusted odds ratios of small-for-gestational age were not statistically significant for all obesity classes; class 1 (1.16; 95% confidence interval, 0.79-1.71) , class 2 (1.05; 95% confidence interval 0.58-1.93), and class 3 (2.03; 95% confidence interval 0.97-4.27). Lower gestational weight gain of +2.0 to 4.9 kg showed the most favorable perinatal outcomes, without higher small for gestational age or neonatal morbidity for all obesity classes.

Evaluating the application of the 2009 Institute of Medicine gestational weight gain guidelines on pregnant Chinese women

ABSTRACT Background The 2009 Institute of Medicine (IOM) gestational weight gain (GWG) guidelines were initially developed for pregnant women in the United States. Objective This study aimed to investigate whether the IOM guidelines were suitable for pregnant Chinese women. Methods A retrospective cohort study comprising 20,593 singleton pregnant women was conducted at the Beijing Obstetrics and Gynaecology Hospital (1 January 2018 to 31 December 2019). Applicability was evaluated by comparing the GWG corresponding to the lowest point of the predicted composite risk curve with the 2009 IOM GWG Guidelines. The IOM Guidelines serve as the standard for the GWG categories and the pre-pregnancy body mass index. An exponential function model was used to fit the weight gain during pregnancy and the probability of caesarean section, preterm birth, small for gestational age, and large for gestational age. A quadratic function model was used to fit the combined probability of the above-mentioned adverse pregnancy outcomes. The applicability of the IOM guidelines was evaluated by comparing the weights corresponding to the lowest predicted probability with the GWG range recommended by the IOM guidelines. Results According to the 2009 IOM GWG Guidelines, 43% of the women achieved adequate weight, almost 32% gained excessive weight, and 25% gained inadequate weight. The GWG range proposed by the IOM included the lowest predicted probability value for underweight women and exceeded the lowest predicted probability for normal weight, overweight, and obese women. Conclusions The 2009 IOM guidelines were suitable for Chinese women whose pre-pregnancy body mass index was classified as underweight. The guidelines were not suitable for normal, overweight, or obese pre-pregnancy body mass index classifications. Therefore, based on the above evidence, the 2009 IOM guidelines are not suitable for all Chinese women.

Comparison of the 2009 Institute of Medicine and 2021 Chinese guidelines for gestational weight gain: A retrospective population-based cohort study.

To analyze the associations between gestational weight gain (GWG) and perinatal outcomes based on the GWG guidelines of the Chinese Nutrition Society (CNS) and the Institute of Medicine (IOM). This was a retrospective study with 9075 low-risk singleton pregnant women. Logistic regression model was used to analyze associations between GWG categories and perinatal outcomes. Sensitivity analyses were performed based on pre-pregnancy body mass index (calculated as weight in kilograms divided by the square of height in meters). Excessive GWG as defined by the two guidelines was associated with a higher risk of adverse perinatal outcomes. Inadequate GWG was associated with higher risks of small for gestational age (adjusted odds ratio [aOR] 1.34, 95% confidence interval [CI] 1.10-1.64) and preterm birth (aOR 1.70, 95% CI 1.22-2.36), but a lower risk of large for gestational age (LGA) (aOR 0.77, 95% CI 0.63-0.95) according to the IOM guidelines. When using the CNS guidelines, inadequate GWG was associated with only a lower risk of preterm birth (aOR 1.80, 95% CI 1.19-2.70). Sensitivity analyses suggested that excessive GWG was associated with a higher risk of LGA in underweight women. Both guidelines could demonstrate the relationship between GWG and adverse perinatal outcomes. The CNS guidelines were more suitable for the Chinese population with underweight or normal weight before pregnancy, whereas IOM was more suitable for pregnant women with inadequate GWG.

Exploring body dissatisfaction in pregnancy and the association with gestational weight gain, obesity, and weight stigma

ObjectiveBody dissatisfaction in pregnancy has been associated with negative psychological maternal outcomes, including increased risk of postpartum depression. This study aimed to explore weight-related factors that influence body dissatisfaction in pregnancy, including gestational weight gain (GWG), weight stigma, obesity, and weight loss attempts before pregnancy. DesignSecondary analysis of a larger cross-sectional study. SettingOnline survey administered via Qualtrics. Participants≥12 weeks pregnant, ≥18 years of age, having a singleton pregnancy and residing in Canada. Measurements and FindingsA battery of questionnaires were completed, including the Body Image in Pregnancy Scale (BIPS) sub-scale. The BIPS scores were compared based on experiences of weight stigma in pregnancy, perception towards their GWG, weight loss attempts before pregnancy, obesity, and GWG category classified as excessive or not referring to Institute of Medicine (2009) guidelines. Significant differences were entered into a linear regression model with BIPS scores as the dependent variable. Significance was accepted as p<0.05. A total of 182 participants completed the survey. There were no differences in BIPS scores based on GWG category (p = 0.160), or obesity (p = 0.230). Poorer BIPS scores were reported by those who felt they had gained ‘too much’ pregnancy weight than ‘appropriate’ (p<0.001), and among those who were trying to lose weight before pregnancy compared to those who were not (p = 0.002). Poorer BIPS scores were also reported by individuals who indicated they had experienced weight stigma during pregnancy compared to those who had not (p<0.001). Regression results showed that significant variables were perceptions towards GWG (p = 0.003) and experiencing weight stigma in pregnancy (p = 0.011). Key Conclusions and Implications for PracticePerceptions towards GWG and experiencing weight stigma can influence body dissatisfaction in pregnancy. Given the detrimental physical and psychological consequences of body dissatisfaction, effective strategies to reduce prenatal weight stigma are needed, such as training maternal healthcare providers to offer sensitive preconception and prenatal weight counselling.

The combined effect of pre-pregnancy body mass index and gestational weight gain on the risk of pre-labour and intrapartum caesarean section-The ICE-MCH study.

Women who are obese before pregnancy have a higher risk of caesarean section than normal weight women. We investigated the combined effect of pre-pregnancy weight and gestational weight gain on pre-labour and intrapartum caesarean section risk. We collected data on 22,763 singleton, term, live deliveries in 2003-2014 from the Icelandic Maternal and Child Health Study (ICE-MCH), based on Icelandic registries. These were the Icelandic Medical Birth Registry and the Saga Maternal and Child Health Database. Pre-pregnancy body mass index was categorised into underweight, normal weight, overweight and obese. Gestational weight gain was classified according to the Institute of Medicine´s recommendation into below, within and above the recommended range. Logistic regression models, adjusted for maternal and gestational characteristics, were used to calculate adjusted odds ratios (AOR) and 95% confidence intervals (CI) for the risk of caesarean section. Obese women had a higher risk of pre-labour (AOR 1.56, 95% CI 1.34-1.81) and intrapartum caesarean section (AOR 1.92, 95% CI 1.70-2.17) than normal weight women in all categories of gestational weight gain. Gestational weight gain above the recommended range, compared to within the range, increased the risk of intrapartum caesarean section among normal weight (AOR 1.46, 95% CI 1.23-1.73) and overweight women (AOR 1.291, 95% CI 1.04-1.60). Gestational weight gain below the recommended range, compared to within the range, increased the risk of pre-labour caesarean section (AOR 1.64, 95% CI 1.20-2.25), but only among overweight women. Women who are obese before pregnancy have a high risk of caesarean section regardless of gestational weight gain. However, women who are normal weight or overweight before pregnancy and gain weight above the recommended range during pregnancy may also have an increased risk of caesarean section.

Comprehensive Questionnaire in Postpartum Women to Assess Women’s Knowledge of the Current Weight Gain Guidelines during Pregnancy in Lower Saxony

Introduction: Maternal body mass index and gestational weight gain (GWG) are important factors for maternal and neonatal health. The objective of this study was to assess women’s knowledge and examine adherence to the Institute of Medicine (IOM) criteria for weight gain during pregnancy by evaluating the information received from obstetricians and women’s knowledge about GWG. Methods: This is an analytical semi-longitudinal observational study. Weight data from a nonconsecutive convenience sample of 389 women who gave birth at the Hannover Medical School in the period from August 2020 to July 2021 were taken from their maternal records. Immediately after giving birth, the whole collective (n = 389) was asked to participate in a questionnaire study including questions that were taken from the EMat Health Survey inquiring about their knowledge and received information about GWG and about their eating behavior. Here, a subset of 202 women participated. Results: Sixty-five percent of the participants who answered the questionnaire reported that they had not been informed by their obstetrician about GWG recommendations. Additionally, a minority of women knew the correct IOM GWG category based on their pre-pregnancy weight. Meeting the IOM GWG guidelines did not depend on whether or not women received GWG recommendations or knew about the correct GWG category. The majority of women were not concerned about gaining too much weight during pregnancy. 20.7% of all women participating in the study were affected by obesity pre-pregnancy. According to the IOM criteria for GWG, 50.4% gained too much weight. The proportion of women exceeding IOM recommendations was highest in women with pre-pregnancy overweight and obesity (67%). Discussion: Weight gain outside of the IOM recommendations is widespread in our survey. Information received and knowledge about GWG recommendations were inadequate in our sample. Considering the fact that GWG outside recommended ranges can contribute to short- and long-term health complications, especially when a woman enters pregnancy already with overweight or obesity, identifying ways of achieving a healthier GWG is warranted.

What is an appropriate gestational weight gain for women with gestational diabetes mellitus: based on the adverse pregnancy outcomes of over 12 thousand participants?

BackgroundEvidence showed possible benefits of a less gestational weight gain (GWG) than the US Institute of Medicine (IOM) recommendation in gestational diabetes mellitus (GDM) pregnancy. Here, we aimed to explore an appropriate GWG range in GDM women according to adverse pregnancy outcomes.MethodsWe enrolled all the singleton GDM pregnant women (n = 14,213) from January 2015 to December 2018 in Xi'an, Northwest China. According to the pre-pregnancy body mass index (BMI), they were classified into the Underweight (< 18.5 kg/m2), Normal weight (18.5–24.9 kg/m2), Overweight (25.0–29.9 kg/m2) and Obesity (≥ 30.0 kg/m2) group, respectively. Logistic regression analysis was used to calculate the odds ratio (OR) and 95% confidence intervals (95% CI). The appropriate ranges of GWG were determined based on a significant protective association (OR < 1).ResultsTotally, 12,712 participants were finally recruited. There were 1180 (9.3%), 9134 (71.9%), 2097 (16.5%), and 301 (2.4%) patients in the Underweight, Normal weight, Overweight, and Obesity groups, respectively. Adverse outcomes increased with the elevation of pre-pregnancy BMI. Among them, the risk of cesarean section was the highest, followed by large for gestational age (LGA), small for gestational age (SGA), preeclampsia, and gestational hypertension. Through the analysis of the risk of adverse outcomes in continuous GWG categories in each group, an ideal GWG range obtained in this study was as follows: 10–15.9 kg, 8–11.9 kg, 6–7.9 kg, and -5–3.9 kg for the Underweight, Normal weight, Overweight and Obesity group, respectively. Furthermore, the ranges in this study were more protective for adverse outcomes than those from IOM.ConclusionsBased on the adverse pregnancy outcomes of over 12 thousand participants, our findings showed a more stringent GWG range for GDM women than the IOM criteria recommendation.

Maternal Pre-Pregnancy Body Mass Index, Gestational Weight Gain and Children's Cognitive Development: A Birth Cohort Study.

To investigate the joint effect of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on children's cognitive development. We recruited 1685 mother-child pairs from the Ma'anshan Birth Cohort in China. Pre-pregnancy BMI and GWG were calculated based on the height and weights measured at multiple antenatal checkups. Children's cognition was assessed by Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition. Poisson regression model was used to analyze the association between maternal pre-pregnancy BMI and children's cognitive dimensions under different GWG categories. Women with overweight or obese before pregnancy were more likely to obtain excessive GWG. When women had excessive GWG, pre-pregnancy overweight was associated with low children's PSI (OR = 1.69, 95%CI: 1.02-2.81) and pre-pregnancy obesity was related to poor VCI in children (OR = 3.71, 95%CI: 1.49-9.22), after adjusting for potential confounders. In pre-pregnancy underweight mothers, adequate GWG reduced the risk of below-average VSI in children (OR = 0.22, 95%CI: 0.05-0.92), but excessive GWG was related to low FSIQ in children (OR = 2.53, 95%CI: 1.34-4.76). In women with excessive GWG, maternal pre-pregnancy BMI displays an inverted U-shape association with children's cognition. Moreover, adequate GWG in women with pre-pregnancy underweight was beneficial for children's cognition.

Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study.

IntroductionDespite the important clinical significance, limited data on the joint contribution of prepregnancy body mass index (BMI) and gestational weight gain (GWG) to preeclampsia, the second leading cause of maternal mortality worldwide. This study aimed to estimate the risk of preeclampsia by GWG among women with varied prepregnancy BMI.MethodsWe conducted a retrospective cohort study using data of 117 738 singleton pregnant women aged 18–49 years from 150 maternity hospitals in China between 2015 and 2018. GWG was calculated as the measured weight at the time of preeclampsia assessment minus prepregnancy weight; GWG velocity was calculated as the GWG divided by the gestational age at weighing. The non-linear associations of GWG with preeclampsia were examined by restricted cubic spline regression analysis according to prepregnancy BMI. The association of the GWG categories with preeclampsia was further examined by performing robust Poisson regression stratified by the prepregnancy BMI categories.ResultsAmong participants, 2426 (2.06%) were diagnosed with preeclampsia. Compared to women with normal BMI, those who were overweight and obese had 1.92- fold (95%CI, 1.73–2.14) and 5.06- fold (95%CI, 4.43–5.78) increased risks for preeclampsia, respectively. The association of GWG velocity with preeclampsia was presented as a J-shaped curve with the varied inflexion point (where the rate of preeclampsia was 2%), which was 0.54, 0.38, and 0.25 kg/week in women with normal BMI, overweight, and obesity, respectively; a steep risk rise was observed along with GWG velocity beyond the inflexion points. The overall adjusted relative risk for preeclampsia was calculated among women with the different GWG categories of GWG.ConclusionsThe findings highlight that high prepregnancy BMI and exceed GWG contributed to increased risk of preeclampsia with a superimposed effect and underscore the need to optimize the recommendations for GWG for women with different prepregnancy BMI.

Analysis of the Influence of Pre-Pregnancy BMI and Weight Gain during Pregnancy on the Weight of Healthy Children during the First 2 Years of Life: A Prospective Study.

Background: Increased pre-pregnancy maternal BMI (pBMI) and gestational weight gain (GWG) have been found to increase infants’ birthweight and result in the programming of child weight and impact its later weight gain. Aim: To assess the impact of pBMI and GWG on the weight of children from birth to 2 years of age and over the duration of breastfeeding. Methods: Single Centre observational prospective longitudinal cohort study. Data were collected from medical records, and medical history. The analysis of multiple linear and mixed models was involved. Findings: 20% of females were overweight, while 13% were obese before the pregnancy. An overall model, including gender and smoking, indicated a significant impact of pBMI category on a child’s birth mass (p = 0.01). The GWG category affected a child’s birth weight (p = 0.018, Effect size 0.41). pBMI did not affect the breastfeeding duration. Conclusion: pBMI and GWG correlate with birth weight and weight in neonatal period, however they become insignificant in later childhood. Weight assessment methods among children aged up to two years of age require standardization. Maternal weight before the pregnancy nor the weight gain during the pregnancy do not influence the length of breastfeeding. The biggest limitation was the small sample size and the failure to account for weight gain per trimester of pregnancy. Further research on a larger population should be continued.

Association between gestational weight gain and risk of overweight at 3 years old: The Japan Environment and Children's Study.

It is unclear if gestational weight gain (GWG) increases the risk of children with overweight. We examined the association between GWG and the risk of overweight in 3-year-old children in the Japanese nationwide birth cohort study. Among 64 336 singleton births, we calculated the risk ratios (RRs) and 95% confidence intervals (95% CIs) of the association between GWG categories and children with overweight, following an adjustment of the confounding variables. GWG was positively associated with the risk of overweight among 3-year-old children. The multivariable RR (95% CI) was 1.21 (1.17-1.25) per 5kg increase of the GWG. The multivariable RR (95% CI) for excessive GWG was 1.20 (1.12-1.28) and 1.27 (1.16-1.39) based on the modified Japanese and IOM criteria, respectively, compared to adequate GWG. The multivariable RR (95% CI) of overweight with children for inadequate versus adequate GWG was 0.83 (0.78-0.88) and 0.84 (0.79-0.89) based on the modified Japanese and IOM criteria, respectively. GWG was positively associated with a high risk of overweight at 3 years of age. The risk of offspring overweight was 20%-27% higher and 16%-17% lower with excessive GWG and inadequate GWG, respectively, compared to adequate GWG, based on the aforementioned criteria.

Polymorphisms in gene MTHFR modify the association between gestational weight gain and adverse birth outcomes.

Evidence suggests a potential relationship between gestational weight gain (GWG) and adverse birth outcomes. However, the role of maternal genetic polymorphisms remains unclear. This study was conducted to investigate whether the relationship of GWG with risk of adverse birth outcomes was modified by methylenetetrahydrofolate reductase (MTHFR) polymorphisms. A total of 2,967 Chinese pregnant women were included and divided into insufficient, sufficient, and excessive groups based on the Institute of Medicine (IOM) criteria. Polymorphisms of C677T and A1298C in gene MTHFR were genotyped. Multivariable logistic regression models were introduced after controlling major confounders. Excessive GWG was found to increase the odds ratio (OR) for macrosomia [OR = 3.47, 95% confidence interval (CI): 1.86–6.48] and large-for-gestational age (LGA, OR = 3.25, 95% CI: 2.23–4.74), and decreased the OR for small-for-gestational age (SGA, OR = 0.60, 95% CI: 0.45–0.79). Pregnant women with insufficient GWG had a higher frequency of SGA (OR = 1.68, 95% CI: 1.32–2.13) and a lower rate of LGA (OR = 0.51, 95% CI: 0.27–0.96). Interestingly, significant associations of GWG categories in relation to low birth weight (LBW), macrosomia, and SGA were only suggested among pregnant women with MTHFR A1298C AA genotype. Among pregnant women with insufficient GWG group, an increased risk of 3.96 (95% CI: 1.57–10.01) for LBW was observed among subjects with the A1298C AA genotype, compared to the AC+CC genotype group. GWG categories are closely related to LBW, macrosomia, SGA and LGA, and the associations were modified by the polymorphism of MTHFR A1298C.