Adequate Gestational Weight Gain Research Articles

Preeclampsia Risk in Bali, Indonesia: The Role of Maternal Body Mass Index (BMI) and Gestational Weight Gain (GWG)

Background: Preeclampsia, a hypertensive disorder of pregnancy, significantly contributes to maternal and infant mortality and morbidity globally, including in Indonesia. Pre-pregnancy obesity and excessive gestational weight gain (GWG) are established risk factors for preeclampsia. This study investigated the association between pre-pregnancy body mass index (BMI) and GWG with the incidence of preeclampsia in Bali, Indonesia. Methods: A case-control study was conducted at a Maternal Hospital in Bali, Indonesia, from May 2023 to May 2024. The study included 429 pregnant women: 143 with preeclampsia (cases) and 286 without (controls). Data were collected from medical records. BMI was categorized using Asia-Pacific criteria, and GWG was assessed based on the 2009 Institute of Medicine (IOM) guidelines. Logistic regression analysis was performed to determine the associations, adjusting for maternal age, education, and occupation. Results: Obesity class II (BMI ≥ 30 kg/m²) and obesity class I (BMI 25.0-29.9 kg/m²) were significantly associated with an increased risk of preeclampsia, with adjusted odds ratios (AOR) of 2.90 (95% CI: 1.19-7.08) and 2.78 (95% CI: 1.60-4.81), respectively, compared to women with normal weight. Excessive GWG was also significantly associated with preeclampsia (AOR 2.53; 95% CI: 1.48-4.33) compared to adequate GWG. Conclusion: Maternal obesity and excessive GWG are significant risk factors for preeclampsia in Bali, Indonesia. These findings underscore the importance of pre-pregnancy counseling and interventions to manage weight and promote healthy GWG to reduce the burden of preeclampsia.

Pre-pregnancy BMI, gestational weight gain, and telomere length in amniotic fluid: a causal graph analysis.

Previous investigations have suggested a potential association between pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with telomere length (TL) in various tissues of pregnant women and newborns. Nonetheless, as association does not imply causation, our objective was to investigate the causal connections among pre-pregnancy BMI, GWG, and TL in amniotic fluid. The analysis included 136 mother-child pairs from the Mamma & Bambino cohort, and three causal graph models were developed to depict the interconnections between pre-pregnancy BMI, GWG, and TL. Causal graph analysis was conducted utilizing the do-operator to estimate the causal effect of GWG and the controlled direct effect of pregestational BMI. We revealed that transitioning from non-adequate to adequate GWG had a positive impact on the probability of having "long" TL (i.e., a value greater than the population median) in all three models. When considering the effect of pre-pregnancy BMI, the highest probability of "long" TL was observed in normal weight women with adequate GWG. In contrast, the effect of adequate GWG became minimal among overweight women. These results shed light on the potential causality between pre-pregnancy BMI, GWG, and TL in amniotic fluid, emphasizing the importance of appropriate weight management before and during pregnancy for optimal TL outcomes.

Gestational weight gain and daily life impact of pregnancy symptoms in healthy women: A multivariable analysis

ObjectiveTo study the relationship between gestational weight gain (GWG) and Daily Life Impact of Pregnancy Symptoms (DLIPS) scores. MethodsA multivariable analysis of a clinical trial (the Walking Preg_Project (WPP), ClinicalTrials.gov NCT03735381) was conducted. The cohort data concerning GWG across gestational trimesters (T1, T2 and T3) was categorized into adequate, excessive, and reduced based on published criteria. DLIPS was measured using the pregnancy symptoms inventory (PSI) a validated tool, across the gestational trimesters. Univariable and multivariable analyses were employed to assess the association between the GWG categories and DLIPS scores in each trimester of pregnancy estimating the β-coefficients and 95% confidence intervals (CI). ResultsThere were 221 participants in the cohort. DLIPS mean score in the overall sample and within adequate, excessive, and reduced GWG categories significantly increased across pregnancy (p < 0.005). DLIPS mean score was higher in the excessive GWG category compared to adequate and reduced GWG, in T1 and T2 (p = 0.035; p = 0.031, respectively). An excessive GWG at T1 [β-coefficient (95 % CI) = 3.88, (0.84, 6.93)] and T2 [β-coefficient (95 % CI) = 4.47 (1.24; 7.70)] was associated with higher DLIPS score compared to an adequate GWG. ConclusionThe impact of pregnancy symptoms on daily life increased throughout pregnancy, overall. Excessive GWG was associated with daily life impact of pregnancy symptoms, particularly in the first and second trimester.

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.

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.

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.

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.

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.

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.

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.

Relation of preconception eating behaviours to dietary pattern trajectories and gestational weight gain from preconception to late pregnancy

Studies examining preconception eating behaviours with longitudinal dietary patterns from preconception to late pregnancy as well as gestational weight gain (GWG) are limited. We derived dietary pattern trajectories from preconception to late-pregnancy, and related preconception eating behaviours to these trajectories and GWG. Preconception eating behaviours were assessed using the Three-Factor Eating Questionnaire measuring cognitive restraint (CR) – conscious restriction of food intake, emotional eating (EE) – overeating in response to negative emotions, and uncontrolled eating (UE) – overeating with a feeling of lack of control. Dietary intakes were measured at preconception, 20–21 and 34–36 weeks' gestation with food frequency questionnaires. Dietary patterns were determined using factor analysis, and trajectories derived using group-based trajectory modelling. Inadequate and excessive GWG were defined according to Institute of Medicine guidelines based on weights at preconception and the last antenatal visit (median: 38 weeks' gestation). Two dietary patterns were derived: ‘Fast Food, Fried Snacks and Desserts (FFD)’ and ‘Soup, Fish and Vegetables (SFV)’. Adherence trajectories from preconception to late-pregnancy were characterised as consistently high (“stable-high”) and low (“stable-low”). Women with higher UE scores had higher odds of being in the “stable-high” trajectory (n = 34) of the FFD pattern [Odds Ratio (OR): 1.25, 95% Confidence Interval (CI): 1.03, 1.51], compared to “stable-low” (n = 260). Percentages of women with inadequate, adequate or excessive GWG were 21.7% (n = 70), 25.8% (n = 83), and 52.5% (n = 169), respectively; women with higher EE scores had a higher likelihood of excessive GWG [Relative Risk Ratio (RRR): 1.35, 95% CI: 1.02, 1.80], but this association was attenuated after adjusting for preconception body mass index. Eating behaviour interventions to improve dietary patterns among pregnant women may need to start as early as preconception, incorporating strategies to manage UE.

Impact of Pre-Gestational BMI and Gestational Weight Gain on Fetal Development Outcomes in Adolescent Pregnant Women.

Background. Gestational weight gain (GWG) constitutes an essential aspect of the gestational process. Due to factors such as pregestational body mass index (BMI), nutritional intake, level of physical activity, and psychological aspects, the recommended GWG may not be achieved, leading to adverse neonatal outcomes. Adolescents, due to their physiological and mental developmental stage, are at a higher risk of inappropriate GWG. Our aim is to highlight the importance of GWG in our population and to determine the correlation with perinatal outcomes. Methods. Pregnant adolescents who attended a tertiary care institution for prenatal care were included; maternal data such as preBMI and GWG were used to determine maternal and neonatal outcomes using the chi-square test and OR determination. Results. A total of 202 adolescent pregnant patients were included, comprising those with inadequate GWG (n = 70), adequate GWG (n = 85), and excessive GWG (n = 47). A statistically significant association was found between low BMI and inadequate GWG. Patients with inadequate GWG demonstrated a correlation with IUGR and low birth weight, while patients with excessive GWG gave birth to macrosomic neonates. Conclusion. We concluded that previous habits play a significant role in determining weight gain throughout pregnancy. GWG has a direct impact on neonatal growth and development.

An umbrella review of systematic reviews on interventions of physical activity before pregnancy, during pregnancy, andpostpartum to control and/or reduce weight gain.

The increasing prevalence of overweight and obesity worldwide represents a (chronic) complex public health problem. This is also seen among women of childbearing age despite increased efforts to promote physical activity (PA) interventions. Excessive gestational weight gain (GWG) is associated with negative health outcomes for both mothers and offspring. To summarize current systematic reviews (SRs) on PA interventions during pregnancy and postpartum to prevent excessive GWG and identify the most effective approaches. A literature search was conducted on major electronic databases (MEDLINE/Pubmed, Cochrane, Web of Science, Epistemonikos) from inception to March 2023. This study included SRs and meta-analyses of studies involving women aged 18 years or older from diverse ethnic backgrounds, who were either in the preconception period, pregnant, or within 1 year postpartum and who had no contraindications for exercise. Women with chronic diseases, such as pre-existing diabetes (type 1 or type 2) were excluded. Two reviewers extracted data from selected studies assessing the impact of PA in preconception, pregnancy, and postpartum. Methodologic quality was assessed with the AMSTAR-2 tool. A narrative summary of results addresses relationships between PA and weight before, during, and after pregnancy, informing future research priorities for preventing excessive weight gain. This study is registered on PROSPERO (CRD420233946666). Out of 892 identified articles, 25 studies were included after removing duplicates, unrelated titles, and screening titles and abstracts for eligibility. The results demonstrate that PA can help prevent excessive GWG and postpartum weight retention. Structured and supervised moderate-intensity exercise, at least twice a week, and each session lasting a minimum of 35 min seems to provide the greatest benefits. Women who comply with the PA program and recommendations are more likely to achieve adequate GWG and return to their pre-pregnancy body mass index after delivery. Further research is warranted to explore how preconception PA influences pregnancy and postpartum outcomes given the absence of identified preconception-focused interventions.

Prepregnancy dieting and obstetrical and neonatal outcomes: Findings from a national surveillance project in the United States

Problem and BackgroundWomen with overweight or obesity are recommended to lose weight before pregnancy. Dieting is one of the most used weight control strategies. However, the health implications of dieting before pregnancy remain unclear. AimTo evaluate the associations of dieting during the year before pregnancy with obstetrical and neonatal outcomes, including gestational weight gain (GWG), gestational diabetes, low birthweight, macrosomia, small-for-gestational-age infants (SGA), large-for-gestational-age infants (LGA), and preterm birth. MethodsThis study analyzed data from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a surveillance project in the United States that collects data on maternal health before, during, and after pregnancy. Women who participated in PRAMS phase 7 with a prepregnancy body mass index ≥25 kg/m2 and a singleton birth were eligible. Statistical analyses included logistic regressions and post-hoc mediation analysis (Sobel Test). FindingsA total number of 51,399 women were included in the analysis. Women who self-reported prepregnancy dieting (42.8 %) had lower odds of SGA (adjusted odds ratio [aOR]: 0.87; 95 % CI: 0.79–0.97), and higher odds of excessive GWG vs adequate GWG (aOR: 1.42; 95 % CI: 1.32–1.52), gestational diabetes (aOR: 1.12; 95 % CI: 1.02–1.22), and LGA (aOR: 1.18; 95 % CI: 1.08–1.28). Furthermore, the association between prepregnancy dieting and LGA was mediated by excessive GWG (Sobel Test z-value = 5.72, p < 0.01). Discussion and ConclusionThis analysis revealed that prepregnancy dieting was associated with several adverse consequences, including excessive GWG, gestational diabetes, and LGA infants. Findings contribute to an improved understanding of the perinatal implications of prepregnancy dieting.

The Association between Psychosocial Stressors and Gestational Weight Gain: Analysis of the National Pregnancy Risk Assessment Monitoring System (PRAMS) Results from 2012 to 2015.

Both psychosocial stress and gestational weight gain are independently associated with adverse maternal and fetal outcomes. Studies of the association between psychosocial stress and gestational weight gain (GWG) have yielded mixed results. The objective of this study was to evaluate the association between psychosocial stress and GWG in a large population-based cohort. Data from the nationally representative Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 7 questionnaire 2012-2015 was utilized. Maternal psychosocial stress was assessed through response to questions designed to examine four domains of psychosocial stress (i.e., traumatic, financial, emotional, partner-related) three months prior to or during pregnancy. GWG was categorized using pre-pregnancy BMI and total GWG into inadequate, adequate, or excessive according to the Institute of Medicine's GWG guidelines. Multinomial logistic regression was used to evaluate the association between psychosocial stressors and adequacy of GWG. Analyses took into account complex survey design. All respondents who delivered ≥ 37 weeks gestation with GWG information available were included in the analysis (n = 119,183). After adjusting for confounders, patients who reported financial stress were more likely to experience excessive versus adequate GWG (RRR 1.09 [95%CI: 1.02-1.17]). Exposure to any of the stressor groups did not significantly increase the risk of inadequate GWG. This large, population-based study revealed that among pregnant people in the US, exposure to financial stress is associated with higher risk of excessive GWG. Understanding the role stress plays in GWG will help to inform initiatives targeting this important aspect of prenatal care.

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.

Genetic risk score for gestational weight gain

Gestational weight gain (GWG) involves health consequences for both mother and offspring. Genetic factors seem to play a role in the GWG trait. For small effect sizes of a single genetic polymorphism (SNP), a genetic risk score (GRS) summarizing risk-associated variation from multiple SNPs can serve as an effective approach to genetic association analysis.The aim of the study was to analyze the association between genetic risk score (GRS) and gestational weight gain (GWG).GWG was calculated for a total of 342 healthy Polish women of Caucasian origin, aged 19 to 45 years. The SNPs rs9939609 (FTO), rs6548238 (TMEM18), rs17782313 (MC4R), rs10938397 (GNPDA2), rs10913469 (SEC16B), rs1137101 (LEPR), rs7799039 (LEP), and rs5443 (GNB3) were genotyped using commercial TaqMan SNP assays. A simple genetic risk score was calculated into two ways: GRS1 based on the sum of risk alleles from each of the SNPs, while GRS2 based on the sum of risk alleles of FTO, LEPR, LEP, and GNB3.Positive association between GRS2 and GWG (β = 0.12, p = 0.029) was observed. Genetic risk variants of TMEM18 (p = 0.006, OR = 2.6) and GNB3 (p < 0.001, OR = 3.3) are more frequent in women with increased GWG, but a risk variant of GNPDA2 (p < 0.001, OR = 2.7) is more frequent in women with adequate GWG, and a risk variant of LEPR (p = 0.011, OR = 3.1) in women with decreased GWG.GRS2 and genetic variants of TMEM18, GNB3, GNPDA2, and LEPR are associated with weight gain during pregnancy.

Review of nutrition and hydration in relation to physical exercise during pregnancy

Studies on nutritional recommendations for pregnant women who exercise are scarce. The objective of this article is not to focus on the diet of pregnant women as a whole, but to review those aspects of it that may be related to physical exercise. To this end, the nutritional and hydration recommendations contained in the main clinical practice guides on physical exercise during pregnancy are collected, including the first Spanish guides. Likewise, the energy requirements required by pregnant women who perform physical exercise during pregnancy for adequate gestational weight gain are addressed, aspects related to macronutrients in the aforementioned population group, and two specific topics, such as nutritional needs in the adolescent who practices physical exercise during pregnancy and eating disorders in pregnant athletes It is concluded by stating that pregnant women who exercise regularly should eat a varied and balanced diet, such as the Mediterranean diet, avoid long periods of fasting to avoid the appearance of hypoglycemia and maintain adequate fluid intake before, during and after physical exercise. Pregnant adolescents who engage in physical exercise require nutritional supervision to achieve adequate gestational weight gain. The pregnant athlete with an eating disorder has a higher risk of complications during pregnancy and childbirth, gynecological, fetal and neonatal, and, therefore, requires close monitoring by specialists in maternal-fetal medicine.

Integrative network analysis of differentially methylated regions to study the impact of gestational weight gain on maternal metabolism and fetal-neonatal growth.

Integrative network analysis (INA) is important for identifying gene modules or epigenetically regulated molecular pathways in diseases. This study evaluated the effect of excessive gestational weight gain (EGWG) on INA of differentially methylated regions, maternal metabolism and offspring growth. Brazilian women from "The Araraquara Cohort Study" with adequate pre-pregnancy body mass index were divided into EGWG (n=30) versus adequate gestational weight gain (AGWG, n=45) groups. The methylome analysis was performed on maternal blood using the Illumina MethylationEPIC BeadChip. Fetal-neonatal growth was assessed by ultrasound and anthropometry, respectively. Maternal lipid and glycemic profiles were investigated. Maternal triglycerides-TG (p=0.030) and total cholesterol (p=0.014); fetus occipito-frontal diameter (p=0.005); neonate head circumference-HC (p=0.016) and thoracic perimeter (p=0.020) were greater in the EGWG compared to the AGWG group. Multiple linear regression analysis showed that maternal DNA methylation was associated with maternal TG and fasting insulin, fetal abdominal circumference, and fetal and neonate HC. The DMRs studied were enriched in 142 biological processes, 21 molecular functions,and 17 cellular components with terms directed for the fatty acids metabolism. Three DMGMs were identified:COL3A1, ITGA4 and KLRK1. INA targeted chronic diseases and maternal metabolism contributing to an epigenetic understanding of the involvement of GWG in maternal metabolism and fetal-neonatal growth.