Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes

Type of delivery lacks the association with dietary patterns followed by pregnant women in their third trimester

Background: Maternal nutrition plays a crucial role in fetal development, women's health, and reproductive capacity. Dietary pattern (DP) is a measure of overall diet and has become widespread in nutrition research as an alternative method to studying individual components of the diet. Aim: this study aims to determine the adopted DPs by Jordanian pregnant women and evaluate their potential associations with the mode of delivery. Methods: A cross-sectional study included 249 healthy Jordanian pregnant women in their third trimester of pregnancy who attended antenatal clinics at Jordan University. Personal information was gathered using a pre-tested structured questionnaire. To investigate dietary patterns, a valid and reliable food frequency questionnaire was employed, and a pregnant physical activity questionnaire was used to estimate physical activity levels. The mode of delivery data was collected from the medical records after delivery. Results: The majority of pregnant women (82.3%) fell within the age range of 20 to 35 years. Notably, 34.5% of the mothers were classified as overweight or obese. Additionally, around one in five deliveries involved emergency cesarean sections. Four distinct DPs were identified and labelled as "fruit and vegetables", "healthy", "traditional", and 'fat and sugar" dietary patterns. However, no significant association was found between these identified dietary patterns and the occurrence of Caesarean section (CS) across all tertiles. Conclusion: The analysis revealed no substantial protective effect of the DPs against the occurrence of CS across all tertiles of dietary patterns. However, further studies are needed to either confirm or challenge our findings.

Critical Threshold of Average Weekly Weight Gain in Overweight Pregnant Women During the Second and Third Trimesters: A Strategy to Prevent Macrosomia

Objective

The study aimed to obtain more evidence on the association of gestational weight gain and pre-pregnancy body mass index (BMI) with macrosomia.

Methods

The data on 5409 live births delivered at Peking Union Medical College Hospital from July 2020 to June 2022 were collected. Group analyses were performed according to the presence or absence of macrosomia. Multivariable binary logistic regression and incidence heatmaps was used to analyze the related factors of macrosomia.

Results

The following variables were significantly associated with macrosomia: overweight (odds ratio [OR]: 2.24, 95% confidence interval [CI]: 1.62-3.10), obesity (OR: 4.56, 95% CI: 2.93-6.98), excessive gestational weight gain (OR: 2.39, 95% CI: 1.67-3.43), gestational age at delivery at 39-41 weeks (OR: 3.83, 95% CI: 2.56-5.95), gestational age at delivery over 41 weeks (OR: 7.88, 95% CI: 4.37-14.19), education level of junior college or below (OR: 1.95, 95% CI: 1.19-3.09), and multipara (OR: 1.62, 95% CI: 1.09-2.42). "v" represents the mean weekly weight gain during the second and third trimesters. A higher v value increased the risk of macrosomia by 2.6-fold (95% CI: 1.37-4.89, P = 0.003). Compared to normal weight women, after adjustment for different pre-pregnancy BMI subgroups, overweight pregnant women had higher weekly weight gain in the second and third trimesters (OR: 4.57, 95% CI: 2.27-9.10, P < 0.001). Obese pregnant women had higher average weekly weight gain during the second and third trimesters, and the OR value for macrosomia was 11.33 (95% CI: 4.95-25.18, P < 0.001). To reduce the incidence of macrosomia in overweight pregnant women, v = 0.32 could be considered the critical threshold of average weekly weight gain in these women in the second and third trimesters of pregnancy.

Conclusion

Pre-pregnancy BMI and weight gain during pregnancy are closely related to macrosomia. The introduction of average weekly weight gain values in the second and third trimesters of pregnancy probably help pregnant women minimizing adverse pregnancy-related outcomes.

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

OBJECTIVE

To evaluate the associations of plasma polybrominated diphenyl ether (PBDE) concentrations in early pregnancy with gestational weight gain (GWG).

DESIGN

Prospective cohort study.

SETTING

US-based, multicentre cohort of pregnant women.

POPULATION

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.

METHODS

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.

MAIN OUTCOME MEASURES

Total GWG (kg), total and trimester-specific GWG velocities (kg/week), and GWG categories and trajectory groups.

RESULTS

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.

CONCLUSIONS

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.

A Review of Third-Trimester Complications in Pregnancies Complicated by Diabetes Mellitus

Pregnancies affected by both pregestational and gestational diabetes mellitus carry an increased risk of adverse maternal and neonatal outcomes. While the risks associated with diabetes in pregnancy have been well documented and span across all trimesters, maternal and neonatal morbidity have been associated with select third-trimester complications. Further, modifiable risk factors have been identified that can help improve pregnancy outcomes. This review aims to examine the relationship between select third-trimester complications (large for gestational age, intrauterine fetal demise, hypertensive disorders of pregnancy, preterm birth, perineal lacerations, shoulder dystocia, and cesarean delivery) and the aforementioned modifiable risk factors, specifically glycemic control, blood pressure control, and gestational weight gain. It also highlights how early optimization of these modifiable risk factors can reduce adverse maternal, fetal, and neonatal outcomes. KEY POINTS: · Diabetes mellitus in pregnancy increases the risk of third-trimester complications.. · Modifiable risk factors exist for these complications.. · Optimizing these modifiable risk factors improves maternal and neonatal outcomes..

Position statement of Italian Society of Obesity (SIO): Gestational Obesity

PURPOSE

Gestational obesity (GO) presents a multifaceted challenge to maternal and fetal health, with an escalating prevalence and far-reaching consequences extending beyond pregnancy. This perspective statement by the Italian Society of Obesity (SIO) provides current insights into the diagnosis, maternal and fetal impacts, and treatment strategies for managing this pressing condition.

METHODS

This article provides a comprehensive review of the maternal and fetal effects of GO and provides suggestions on strategies for management. Comprehensive review was carried out using the MEDLINE/PubMed, CINAHL, EMBASE, and Cochrane Library databases.

RESULTS

The diagnosis of GO primarily relies on pre-pregnancy body mass index (BMI), although standardized criteria remain contentious. Anthropometric measures and body composition assessments offer valuable insights into the metabolic implications of GO. Women with GO are predisposed to several health complications, which are attributed to mechanisms such as inflammation and insulin resistance. Offspring of women with GO face heightened risks of perinatal complications and long-term metabolic disorders, indicating intergenerational transmission of obesity-related effects. While nutritional interventions are a cornerstone of management, their efficacy in mitigating complications warrants further investigation. Additionally, while pharmacological interventions have been explored in other contexts, evidence on their safety and efficacy specifically for GO remains lacking, necessitating further investigation.

CONCLUSION

GO significantly impacts maternal and fetal health, contributing to both immediate and long-term complications. Effective management requires a multifaceted approach, including precise diagnostic criteria, personalized nutritional interventions, and potential pharmacological treatments. These findings underscore the need for individualized care strategies and further research to optimize outcomes for mothers and their offspring are needed. Enhanced understanding and management of GO can help mitigate its intergenerational effects, improving public health outcomes.

LEVEL OF EVIDENCE

Level V narrative review.

Modifiable factors mediating the effects of educational attainment on gestational diabetes mellitus: A two-step Mendelian randomization study

BACKGROUND

Although there is currently a wealth of evidence to indicate that maternal educational attainment is associated with gestational diabetes mellitus (GDM), the specific modifiable risk factors that mediate the causal relationship between these two variables have yet to be identified.

AIM

To identify the specific modifiable risk factors that mediate the causal relationship between the level of maternal education and GDM.

METHODS

Mendelian randomization (MR) was conducted using data from genome-wide association studies of European populations. We initially performed a two-sample MR analysis using data on genetic variants associated with the duration of education as instruments, and subsequently adopted a two-step MR approach using metabolic and lifestyle factors as mediators to examine the mechanisms underlying the relationship between the level of maternal education and risk of developing GDM. In addition, we calculated the proportions of total causal effects mediated by identified metabolic and lifestyle factors.

RESULTS

A genetically predicted higher educational attainment was found to be associated with a lower risk of developing GDM (OR: 0.71, 95%CI: 0.60-0.84). Among the metabolic factors assessed, four emerged as potential mediators of the education-GDM association, which, ranked by mediated proportions, were as follows: Waist-to-hip-ratio (31.56%, 95%CI: 12.38%-50.70%), body mass index (19.20%, 95%CI: 12.03%-26.42%), high-density lipoprotein cholesterol (12.81%, 95%CI: 8.65%-17.05%), and apolipoprotein A-1 (7.70%, 95%CI: 4.32%-11.05%). These findings proved to be robust to sensitivity analyses.

CONCLUSION

Our findings indicate a causal relationship between lower levels of maternal education and the risk of developing GDM can be partly explained by adverse metabolic profiles.

Maternal pre-pregnancy BMI influences the associations between bisphenol and phthalate exposures and maternal weight changes and fat accumulation

BACKGROUND

Bisphenols and phthalates are two classes of endocrine-disrupting chemicals (EDCs) thought to influence weight and adiposity. Limited research has investigated their influence on maternal weight changes, and no prior work has examined maternal fat mass. We examined the associations between exposure to these chemicals during pregnancy and multiple maternal weight and fat mass outcomes.

METHODS

This study included a sample of 318 women enrolled in a Canadian prospective pregnancy cohort. Second trimester urinary concentrations of 2 bisphenols and 12 phthalate metabolites were quantified. Self-reported and measured maternal weights and measured skinfold thicknesses were used to calculate gestational weight gain, 3-months and 3- to 5-years postpartum weight retention, late pregnancy fat mass gain, total postpartum fat mass loss, and late postpartum fat mass retention. Adjusted robust regressions examined associations between chemicals and outcomes in the entire study population and sub-groups stratified by pre-pregnancy body mass index (BMI). Bayesian kernel machine regression examined chemical mixture effects.

RESULTS

Among women with underweight or normal pre-pregnancy BMIs, MBzP was negatively associated with weight retention at 3- to 5-years postpartum (B = -0.04, 95%CI: -0.07, -0.01). Among women with overweight or obese pre-pregnancy BMIs, MEHP and MMP were positively associated with weight retention at 3-months and 3- to 5-years postpartum, respectively (B's = 0.12 to 0.63, 95%CIs: 0.02, 1.07). DEHP metabolites and MCNP were positively associated with late pregnancy fat mass gain and late postpartum fat mass retention (B's = 0.04 to 0.18, 95%CIs: 0.001, 0.32). Further, the mixture of EDCs was positively associated with late pregnancy fat mass gain.

CONCLUSION

In this cohort, pre-pregnancy BMI was a key determinant of the associations between second trimester exposure to bisphenols and phthalates and maternal weight changes and fat accumulation. Investigations of underlying physiological mechanisms, windows of susceptibility, and impacts on maternal and infant health are needed.

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

BACKGROUND

Gestational weight gain (GWG) is a critical factor for maternal and fetal health.

OBJECTIVE

To identify maternal predictors of inadequate GWG according to the 2009 Institute of Medicine (IOM) recommendations and Intergrowth-21st standards.

METHODS

A 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.

RESULTS

Among 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.

CONCLUSION

The 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.

Optimal gestational weight change associated with improved perinatal outcomes in women with gestational diabetes mellitus: a population-based study in the United States

BACKGROUND

Optimal gestational weight change (GWC) is little known among pregnant women with gestational diabetes mellitus (GDM).

OBJECTIVES

This study aimed to explore the optimal GWC ranges for women with GDM and validate these ranges compared with the Institute of Medicine (IOM) guidelines.

METHODS

A population-based cohort study using natality data from the National Center for Health Statistics in the United States included 1,338,460 mother-infant pairs with GDM from 2014 to 2020. Poisson regression models were performed to identify GWC ranges (GDM targets) associated with acceptable risks (<10% increase) for a severity-weighted composite outcome including preterm birth (PTB) <37 wk, large for gestational age (LGA, birthweight >90th percentile) and small for gestational age (SGA, birthweight <10th percentile). These targets were validated in individual outcomes including PTB, LGA, SGA, hypertensive disorders of pregnancy, neonatal intensive care unit admission, and neonatal respiratory morbidity, and compared with the IOM guidelines using logistic regression models with population-attributable fractions (PAFs) calculated.

RESULTS

The severity-weighted composite outcome had a U-shaped or a J-shaped relationship with GWC across body mass index categories. The GDM targets were 14.1 to 20.3 kg, 9.0 to 17.0 kg, 4.8 to 13.8 kg, -0.8 to 10.8 kg, -2.4 to 8.2 kg, and -8.3 to 6.0 kg for underweight, normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. GWC outside the GDM or the IOM targets was associated with increased adverse perinatal outcomes in validation analyses. PAFs indicated that the IOM guidelines reduced a similar or higher proportion of adverse perinatal outcomes compared with the GDM targets for women with GDM, except for those with class 2 and 3 obesity.

CONCLUSIONS

The IOM guidelines are generally applicable for women with GDM, except for women with moderate and severe obesity. The optimal GWC ranges for women with GDM and moderate to severe obesity may be lower than the IOM guidelines.

Rural-Urban Divide in the Prevalence and Correlates of Overweight and Obesity Among Women of Reproductive Age in Nigeria: A Multilevel Analysis of Repeated Cross-Sectional Data

We examined rural and urban prevalence and correlates of overweight/obesity among women of reproductive age using survey data from Nigeria. Overweight and obesity prevalence increased from 16.1% and 6.1% in 2008 to 18.2% and 10.0% in 2018, while underweight prevalence consistently averaged at 12%. Regardless of the residential setting, age, marital status, education, occupation, wealth, and year were associated with higher risk of overweight/obesity, whereas breastfeeding showed a protective effect. Unique risk factors for overweight/obesity in urban areas were higher parity and female-headed households, while ethnicity, media exposure, and state of residence were unique risk factors in rural areas.

Gestational weight gain below recommendations and adverse maternal and child health outcomes for pregnancies with overweight or obesity: a United States cohort study

BACKGROUND

The current Institute of Medicine (IOM) pregnancy weight gain guidelines were developed using the best available evidence but were limited by substantial knowledge gaps. Some have raised concern that the guidelines for individuals affected by overweight or obesity are too high and contribute to short- and long-term complications for the mother and child.

OBJECTIVES

To determine the association between pregnancy weight gain below the lower limit of the current IOM recommendations and risk of 10 adverse maternal and child health outcomes among individuals with overweight and obesity.

METHODS

We used data from a prospective cohort study of United States nulliparae with prepregnancy overweight (n = 955) or obesity (n = 897) followed from the first trimester to 2-7 y postpartum. We used multivariable Poisson regression to relate pregnancy weight gain z-scores with a severity-weighted composite outcome consisting of ≥1 of 10 adverse outcomes (gestational diabetes, preeclampsia, unplanned cesarean delivery, maternal postpartum weight increase >10 kg, maternal postpartum metabolic syndrome, infant death, stillbirth, preterm birth, small-for-gestational age birth, and childhood obesity).

RESULTS

Pregnancy weight gain z-scores below, within, and above the IOM-recommended ranges occurred in 5%, 13%, and 80% of pregnancies with overweight and 17%, 13%, and 70% of pregnancies with obesity. There was a positive association between pregnancy weight gain z-scores and all adverse maternal outcomes, childhood obesity, and the composite outcome. Pregnancy weight gain z-scores below the lower limit of the recommended ranges (<6.8 kg for overweight, <5 kg for obesity) were not associated with the severity-weighted composite outcome. For example, compared with the lower limit, adjusted rate ratios (95% confidence interval) for z-scores of -2 standard deviations in pregnancies with overweight (equivalent to 3.6 kg at 40 wk) and obesity (-2.8 kg at 40 wk) were 0.99 (95% confidence interval [CI]: 0.91, 1.06) and 0.97 (95% CI: 0.87, 1.07).

CONCLUSIONS

These findings support arguments to decrease the lower limit of recommended weight gain ranges in these prepregnancy body mass index groups.

The communication mechanism of the gut-brain axis and its effect on central nervous system diseases: A systematic review

Gut microbiota is involved in intricate and active metabolic processes the host's brain function, especially its role in immune responses, secondary metabolism, and symbiotic connections with the host. Gut microbiota can promote the production of essential metabolites, neurotransmitters, and other neuroactive chemicals that affect the development and treatment of central nervous system diseases. This article introduces the relevant pathways and manners of the communication between the brain and gut, summarizes a comprehensive overview of the current research status of key gut microbiota metabolites that affect the functions of the nervous system, revealing those adverse factors that affect typical communication between the brain-gut axis, and outlining the efforts made by researchers to alleviate these neurological diseases through targeted microbial interventions. The relevant pathways and manners of communication between the brain and gut contribute to the experimental design of new treatment plans and drug development. The factors that may cause changes in gut microbiota and affect metabolites, as well as current intervention methods are summarized, which helps improve gut microbiota brain dialogue, prevent adverse triggering factors from interfering with the gut microbiota system, and minimize neuropathological changes.

Navigating weight, risk and lifestyle conversations in maternity care: a qualitative study among pregnant women with obesity

BACKGROUND

Pregnant women with obesity face heightened focus on weight during pregnancy due to greater risk of medical complications. Closer follow-up in maternety care may contribute to reduce risk and promote health in these women. The aim of this study was to gain a deeper insight in how pregnant women with obesity experience encounters with healthcare providers in maternity care. How is the received maternity care affected by their weight, and how do they describe the way healthcare providers express attitudes towards obesity in pregnancy?

METHODS

We conducted in-depth interviews with 14 women in Trøndelag county in Norway with pre-pregnancy BMI of ≥ 30 kg/m2, between 3 and 12 months postpartum. The study sample was strategic regarding age, relationship status, education level, obesity class, and parity. Themes were developed using reflexive thematic analysis. The analysis was informed by contextual information from a prior study, describing the same participants' weight history from childhood to motherhood along with their perceptions of childhood quality.

RESULTS

This study comprised of an overarching theme supported by three main themes. The overarching theme, Being pregnant with a high BMI: a vulnerable condition, reflected the challenge of entering maternity care with obesity, especially for women unprepared to be seen as "outside the norm". Women who had grown up with body criticism and childhood bullying were more prepared to have their weight addressed in maternity care. The first theme, Loaded conversations: a balancing act, emphasizes how pregnant women with a history of body criticism or obesity-related otherness proactively protect their integrity against weight bias, stigma and shame. The women also described how some healthcare providers balance or avoid weight and risk conversations for the same reasons. Dehumanization: an unintended drawback of standardized care makes apparent the pitfalls of prioritizing standardization over person-centered care. Finally, the third theme, The ambivalence of discussing weight and lifestyle, represent women's underlying ambivalence towards current weight practices in maternity care.

CONCLUSIONS

Our findings indicate that standardized weight and risk monitoring, along with lifestyle guidance in maternity care, can place the pregnant women with obesity in a vulnerable position, contrasting with the emotionally supportive care that women with obesity report needing. Learning from these women's experiences and their urge for an unloaded communication to protect their integrity highlights the importance of focusing on patient-centered practices instead of standardized care to create a safe space for health promotion.

Pre-pregnancy overweight or obesity moderates the association between prenatal maternal depressive symptoms and infant cord blood omega-3 levels

BACKGROUND

Empirical evidence has demonstrated associations between pre-pregnancy obesity and perinatal maternal depressive symptoms. Omega-3 is an essential fatty acid derived from dietary sources that is critical for fetal brain development. Pre-pregnancy obesity is associated with higher omega-3 intake, but a weaker association between dietary intake and respective maternal and cord blood omega-3 levels. Further, lower intake of omega-3 during pregnancy has been linked to higher depressive symptoms. Yet, prior studies have not examined the interactive effects of pre-pregnancy overweight or obesity (OWOB) and prenatal maternal mental health symptoms on infant cord blood omega-3 levels.

METHODS

Participants included 394 maternal-infant dyads from the NIH Environmental influences on Child Health Outcomes (ECHO) - Safe Passage Study in South Dakota. A pre-pregnancy body mass index (BMI) > 25 was used to dichotomize participants as OWOB (54%) vs. non-OWOB (46%). Prenatal maternal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS) and prenatal maternal anxiety symptoms were measured using the State-Trait Anxiety Inventory (STAI). We implemented linear regression models to examine the interaction term between pre-pregnancy BMI category and prenatal maternal mental health symptoms on cord blood omega-3 levels. Secondary analyses were stratified by pre-pregnancy BMI category.

RESULTS

We observed a significant interaction between pre-pregnancy BMI category and prenatal maternal depressive symptoms with cord blood omega-3 (F(4,379) = 6.21, p < .0001, adj. R2 = 0.05). Stratified models revealed an association between prenatal maternal depressive symptoms with lower cord blood omega-3 levels only among individuals with pre-pregnancy OWOB (β = -0.06, 95% CI = -0.11, -0.02; F (2,208) = 4.00, p < .05, adj R2 = 0.03). No associations were observed among non-OWOB participants.

CONCLUSIONS

Findings suggest maternal-placental transfer of omega-3 may represent one pathway by which maternal metabolic and mental health impacts infant development.

Do maternal BMI and gestational weight gain equally affect the risk of infant hypoxic and traumatic events?

BACKGROUND

Small (SGA) and large (LGA) for gestational age infants have higher risks of infant morbidity when compared to those who are appropriate for gestational age (AGA). Increasing pre-pregnancy maternal BMI and gestational weight gain (GWG) are associated with higher risks of LGA and lower risks of SGA infants; however, their direct effects on infant morbidity are unknown. Therefore, we intended to 1) assess how maternal pre-pregnancy BMI, GWG, and birthweight (categorized as SGA, AGA or LGA) affect infant morbidity and 2) estimate at entry of care the risk of infant morbidity according to pre-pregnancy BMI and possible GWG.

METHODS

we used Consortium on Safe Labor data, a retrospective observational cohort study collecting pregnancy and birth data from 2002 to 2008 in 12 US centers. The association between maternal BMI, GWG and infant morbidity was estimated in singleton gestations delivering ≥ 37 weeks using binomial logistic regression. Hypoxic composite neonatal morbidity was defined as any the following: stillbirth, neonatal death, resuscitation at birth, NICU admission, intracranial hemorrhage, PVH grade III and IV, neonatal seizures, NEC, meconium aspiration, CPAP or mechanical ventilation, RDS, and sepsis. Traumatic composite neonatal morbidity included shoulder dystocia or birth injuries.

RESULTS

In this study of 110,594 mother-infant dyads, a total of 8,369 (7.6%) infants experienced hypoxic, while 2,134 (1.9%) developed traumatic morbidity. The risk of hypoxic morbidity among SGA, AGA and LGA infants increased when mothers were overweight (aOR 1.26 [95%CI 1.18-1.34]) or obese (class 1: aOR 1.3 [1.2-1.4]; class 2: aOR 1.7 [1.5-1.9]; class 3: aOR 1.8 [1.6-2]) as opposed to normal weight, and when GWG exceeded (aOR 1.08 [1.02-1.014]) rather than remained within recommendations. The risk of traumatic morbidity increased with maternal obesity (class 1: aOR 1.3 [1.1-1.5]), whilst it dropped with GWG below recommendations (aOR 0.7 [0.6-0.8]). The risk of hypoxic events estimated at entry of care increased with maternal overweight (aOR 1.27 [1.19-1.35]) or obesity (class 1: aOR 1.4 [1.2-1.5]; class 2: aOR 1.7 [1.5-1.9]; class 3: aOR 1.8 [1.6-2.1]), and with possible GWG above (aOR 1.09 [1.03-1.015]) recommendations. The risk of traumatic morbidity increased with overweight (aOR 1.1 [1-1.3]) or obesity (class 1: aOR 1.4 [1.2-1.6]; class 2: aOR 1.3 [1-1.6]), with possible GWG above (aOR 1.2 [1-1.3]), as opposed to below recommendations (aOR 0.7 [0.6-0.8]).

CONCLUSIONS

While maternal pre-pregnancy BMI and GWG equally affected traumatic morbidity, the former had a greater impact on hypoxic complications. Therefore, weight control prior to pregnancy is at least as effective as avoiding excessive gestational weight gain to prevent neonatal morbidity.

Should gestational weight gain charts exclude individuals with excess postpartum weight retention?

BACKGROUND

High gestational weight gain is associated with excess postpartum weight retention, yet excess postpartum weight retention is not an exclusion criterion for current gestational weight gain charts. We aimed to assess the impact of excluding individuals with high interpregnancy weight change (a proxy for excess postpartum weight retention) on gestational weight gain distributions.

METHODS

We included individuals with an index birth from 2008 to 2014 and a subsequent birth before 2019, in the population-based Stockholm-Gotland Perinatal Cohort. We estimated gestational weight gain (kg) at 25 and 37 weeks, using weight at first prenatal visit (<14 weeks) as the reference. We calculated high interpregnancy weight change (≥10 kg and ≥5 kg) using the difference between weight at the start of an index and subsequent pregnancy. We compared gestational weight gain distributions and percentiles (stratified by early-pregnancy body mass index) before and after excluding participants with high interpregnancy weight change.

RESULTS

Among 55,723 participants, 17% had ≥10 kg and 34% had ≥5 kg interpregnancy weight change. The third, tenth, 50th, 90th and 97th percentiles of gestational weight gain were similar (largely within 1 kg) before versus after excluding participants with high interpregnancy weight change, at both 25 and 37 weeks. For example, among normal weight participants at 37 weeks, the 50th and 97th percentiles were 14 kg and 23 kg including versus 13 kg and 23 kg excluding participants with ≥5 kg interpregnancy weight change.

CONCLUSIONS

Excluding individuals with excess postpartum weight retention from normative gestational weight gain charts may not meaningfully impact the charts' percentiles.

Dulaglutide rescues the elevated testicular dysfunction in a mouse model of high-fat diet-induced obesity

Obesity is a well-known risk factor for testicular function; however, dulaglutide's effect on the testis in obesity has received little attention. Currently, clinicians prescribe the antidiabetic drug dulaglutide only off-label for weight management in non-diabetics. Investigating the impact of this novel compound on obesity is critical for determining whether it has any disruptive effects on testicular cells. We used a well-known animal model of high-fat diet-induced obesity in this investigation, and testicular dysfunction was determined by sperm DNA damage, spermatocyte chromosomal abnormalities, and spermiogram analysis. Following a 12-week high-fat diet challenge, mice were randomly assigned to dulaglutide (0.6 mg/kg/day) or saline treatments for five weeks. Testes and sperm cells were collected 24 h after the last dulaglutide injection. Untreated obese mice had a lower testes/body weight ratio, more sperm DNA damage, diakinesis-metaphase I chromosomal abnormalities, a lower sperm count/motility, more cell morphological defects, and an altered testicular redox balance. In obese mice, dulaglutide injection efficiently restored all disturbed parameters to their control levels. Dulaglutide injection into healthy mice exhibited no significant harmful effects at the applied regimen. As a result, we infer that dulaglutide therapy might bring obese men additional benefits by recovering testicular dysfunction induced by obesity.

The impact of obesity on reproductive health and metabolism in reproductive-age females

Obesity is a highly prevalent chronic disease that impacts >40% of reproductive-aged females. The pathophysiology of obesity is complex and can be understood simply as a chronic energy imbalance whereby caloric intake exceeds caloric expenditure with an energy surplus stored in adipose tissue. Obesity may be categorized into degrees of severity as well as different phenotypes on the basis of metabolic health and underlying pathophysiology. Obesity and excess adiposity have a significant impact on fertility and reproductive health, with direct effects on the hypothalamic-pituitary-ovarian axis, the ovary and oocyte, and the endometrium. There are significant adverse pregnancy outcomes related to obesity, and excess weight gain before, during, and after pregnancy that can alter the lifelong risk for metabolically unhealthy obesity. Given the high prevalence and pervasive impact of obesity on reproductive health, there is a need for better and individualized care for reproductive-aged females that considers obesity phenotype, underlying pathophysiology, and effective and sustainable interventions to treat obesity and manage weight gain before, during, and after pregnancy.

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Global Prevalence of Overweight and Obesity in Children and Adolescents: A Systematic Review and Meta-Analysis

Importance

Overweight and obesity in childhood and adolescence is a global health issue associated with adverse outcomes throughout the life course.

Objective

To estimate worldwide prevalence of overweight and obesity in children and adolescents from 2000 to 2023 and to assess potential risk factors for and comorbidities of obesity.

Data Sources

MEDLINE, Web of Science, Embase, and Cochrane.

Study Selection

The inclusion criteria were: (1) studies provided adequate information, (2) diagnosis based on body mass index cutoffs proposed by accepted references, (3) studies performed on general population between January 2000 and March 2023, (4) participants were younger than 18 years.

Data Extraction and Synthesis

The current study was performed in accordance with the Meta-analysis of Observational Studies in Epidemiology guidelines. DerSimonian-Laird random-effects model with Free-Tukey double arcsine transformation was used for data analysis. Sensitivity analysis, meta-regression, and subgroup analysis of obesity among children and adolescents were conducted.

Main Outcomes and Measures

Prevalence of overweight and obesity among children and adolescents assessed by World Health Organization, International Obesity Task Force, the US Centers for Disease Control and Prevention, or other national references.

Results

A total of 2033 studies from 154 different countries or regions involving 45 890 555 individuals were included. The overall prevalence of obesity in children and adolescents was 8.5% (95% CI 8.2-8.8). We found that the prevalence varied across countries, ranging from 0.4% (Vanuatu) to 28.4% (Puerto Rico). Higher prevalence of obesity among children and adolescents was reported in countries with Human Development Index scores of 0.8 or greater and high-income countries or regions. Compared to 2000 to 2011, a 1.5-fold increase in the prevalence of obesity was observed in 2012 to 2023. Substantial differences in rates of obesity were noted when stratified by 11 risk factors. Children and adolescents with obesity had a high risk of depression and hypertension. The pooled estimates of overweight and excess weight in children and adolescents were 14.8% (95% CI 14.5-15.1) and 22.2% (95% CI 21.6-22.8), respectively.

Conclusions and Relevance

This study's findings indicated 1 of 5 children or adolescents experienced excess weight and that rates of excess weight varied by regional income and Human Development Index. Excess weight among children and adolescents was associated with a mix of inherent, behavioral, environmental, and sociocultural influences that need the attention and committed intervention of primary care professionals, clinicians, health authorities, and the general public.

Status, outcome, and related factors of postpartum hypertension in the Shanghai community

BACKGROUND

Postpartum hypertension poses a considerable health risk. Despite research on gestational hypertension, comprehensive studies focusing on postpartum hy-pertension in communities are limited. Understanding its prevalence and associated risk factors is crucial for effective prevention and management.

AIM

To provide insights for postpartum hypertension's prevention and management.

METHODS

In total, 3297 women who gave birth between June 2021 and December 2022 in Xuhui District, Shanghai were selected. Blood pressure was measured thrice within one month post-delivery during home visits. Eighty-six women with hypertension were followed up for four months to analyze hypertension per-sistence and its related risk factors. A predictive model for persistent postpartum hypertension was established and verified using the Nomo diagram model.

RESULTS

Hypertension prevalence 1 month post-delivery was 2.61% (86/3297). Among the 86 pregnant women, 32 (37.21 %) had persistent hypertension at four months post-delivery. Multivariate logistic regression analysis revealed that older age [odds ratio (OR) = 1.212; 95% confidence interval (CI): 1.065-1.380] and higher pre-pregnancy body mass index (BMI) (OR = 1.188; 95%CI: 1.006-1.404) were associated with hypertension (OR = 10.781; 95%CI: 1.006-1.404) during pregnancy. A 95%CI of 1.243-93.480 is a risk factor for persistent postpartum hypertension. The Nomograph model accurately predicted the risk of persistent postpartum hypertension, demonstrating high precision.

CONCLUSION

In Xuhui, older age, higher pre-pregnancy BMI, and gestational hypertension are risk factors for persistent postpartum hypertension. Our prediction model can identify high-risk individuals, thereby improving patient quality of life.

Impact of Maternal Pre-Pregnancy Underweight on Cord Blood Metabolome: An Analysis of the Population-Based Survey of Neonates in Pomerania (SNiP)

Intrauterine growth restriction leads to an altered lipid and amino acid profile in the cord blood at the end of pregnancy. Pre-pregnancy underweight is an early risk factor for impaired fetal growth. The aim of this study was to investigate whether a pre-pregnancy body mass index (ppBMI) of <18.5 kg/m2, as early as at the beginning of pregnancy, is associated with changes in the umbilical cord metabolome. In a sample of the Survey of Neonates in Pomerania (SNIP) birth cohort, the cord blood metabolome of n = 240 newborns of mothers with a ppBMI of <18.5 kg/m2 with n = 208 controls (ppBMI of 18.5-24.9 kg/m2) was measured by NMR spectrometry. A maternal ppBMI of <18.5 kg/m2 was associated with increased concentrations of HDL4 cholesterol, HDL4 phospholipids, VLDL5 cholesterol, HDL 2, and HDL4 Apo-A1, as well as decreased VLDL triglycerides and HDL2 free cholesterol. A ppBMI of <18.5 kg/m2 combined with poor intrauterine growth (a gestational weight gain (GWG) < 25th percentile) was associated with decreased concentrations of total cholesterol; cholesterol transporting lipoproteins (LDL4, LDL6, LDL free cholesterol, and HDL2 free cholesterol); LDL4 Apo-B; total Apo-A2; and HDL3 Apo-A2. In conclusion, maternal underweight at the beginning of pregnancy already results in metabolic changes in the lipid profile in the cord blood, but the pattern changes when poor GWG is followed by pre-pregnancy underweight.

Association between gestational cardiovascular health in the first trimester and pregnancy outcomes in the China birth cohort

OBJECTIVES

To determine whether gestational cardiovascular health (CVH) during the first trimester is associated with a risk of adverse pregnancy outcomes.

STUDY DESIGN

A multicentre prospective cohort; part of the China birth cohort study.

METHODS

Pregnant women were recruited at 6-13+6 gestation weeks and followed to delivery to identify pregnancy outcomes. Gestational CVH in the first trimester was assessed using five CVH metrics: body mass index, smoking, blood pressure, glucose, and lipids. Multilevel modified Poisson regression models calculated the relative risks (RRs) and 95% confidence intervals (95% CIs) of gestational CVH for adverse pregnancy outcomes.

RESULTS

Among 56,852 pregnant women, the mean score for gestational CVH during the first trimester was 9.1. Adjusting for confounding factors, each 1-point decrease in the total gestational CVH score significantly increased the risk of hypertensive disorders of pregnancy (RR = 1.682, 95% CI: 1.624-1.743), gestational diabetes mellitus (RR = 1.405, 95% CI: 1.384-1.426), preterm birth (RR = 1.184, 95% CI: 1.174-1.195), large for gestational age (RR = 1.224, 95% CI: 1.199-1.250), caesarean delivery (RR = 1.073, 95% CI: 1.049-1.097), and low Apgar score (RR = 1.131, 95% CI: 1.003-1.277) significantly increased. Meanwhile, the risk of small for gestational age decreased (SGA; RR = 0.922, 95% CI: 0.898-0.946). Worsened CVH categories significantly increased the risk of adverse pregnancy outcomes, excluding SGA.

CONCLUSIONS

Poor gestational CVH in the first trimester significantly increases the risk of adverse pregnancy outcomes, emphasising the need for early improvement in gestational CVH.

Impact of Gestational Weight Gain Recommendations for Obese Women on Neonatal Morbidity

INTRODUCTION

In 2013, the American College of Obstetricians and Gynecologists (ACOGs) developed gestational weight gain guidelines to minimize the risks associated with obesity during pregnancy. However, a growing body of evidence suggests that current recommendations should be revised for obese women.

OBJECTIVE

The objective of this study is to assess the impact of gestational weight gain recommendations for obese women (body mass index ≥ 30 kg/m2) on neonatal and maternal outcomes in Quebec.

STUDY DESIGN

Secondary analysis of the QUARISMA trial was performed including obese women who delivered a full-term singleton in cephalic presentation from 2008 to 2011 in Quebec. Outcomes assessed were composite risks of major neonatal and maternal complications, minor neonatal and maternal complications, as well as obstetrical interventions. Outcomes were compared between weight gain recommendations (reference group) and three weight gain/loss categories using logistic regressions. In second analysis, obese women were stratified by obesity class.

RESULTS

Among the 16,808 eligible obese women, 605 lost weight during pregnancy, 2,665 gained between 0 and 4.9 kg, 4,355 gained weight within the recommendations (5-9.09 kg), and 9,183 gained at least 9.1 kg. Results showed a significant reduction in major neonatal morbidity (adjusted odds ratio [aOR] = 0.69, 95% confidence interval [CI] = 0.51-0.94), minor maternal morbidity (aOR = 0.79, 95%CI = 0.67-0.93), and assisted vaginal delivery (aOR = 0.82, 95%CI = 0.68-0.99) among women who gained 0 to 4.9 kg compared with the reference group. Cesarean delivery and preeclampsia/eclampsia were significantly reduced with weight loss (aOR = 0.76, 95%CI = 0.64-0.89 and 0.58, 95%CI = 0.42-0.78) compared with the reference group. Weight gain above recommendations was associated with an increased risk of minor neonatal morbidity, major and minor maternal morbidity, as well as cesarean delivery.

CONCLUSION

Compared with a weight gain within the recommendations, a gestational weight gain/loss of less than 5 kg in obese women is associated with a reduced risk of major neonatal morbidity, minor maternal morbidity, preeclampsia/eclampsia, cesarean delivery, and assisted vaginal delivery. Guidelines on gestational weight gain for obese women should be updated.

KEY POINTS

· Gestational weight gain/loss of less than 5 kg reduces the risk of perinatal complications.. · As suggested by ACOG recommendations, guidelines for obese women should be updated.. · Recommendations stratified by obesity class should be included in revised guidelines..

Associations between gestational weight gain and weight development of the offspring: Differences depending on maternal pre-pregnancy BMI

PURPOSE

Obesity rates are rising, and the gestational weight gain (GWG) of most women does not comply with current guidelines. This study assesses the association of pre-pregnancy BMI (ppBMI) and GWG with the child's weight development and investigates whether associations with GWG differ depending on ppBMI.

METHODS

Data were obtained from the cohort study LIFE Child (Germany), comprising 691 mother-child pairs. Children's weight was followed until age five. Associations between maternal ppBMI, GWG, and children's weight were evaluated using regression analyses.

RESULTS

The association between GWG and birth weight (BW) was significantly positive in normal and underweight (n/u) women (βGWG = 0.05, p < 0.01, 95% confidence interval (CI) 0.03-0.07), but not in women with overweight or obesity (o/o) (βGWG = 0.0002, p = 0.99, 95% CI -0.03 to 0.03). The risk of giving birth to an infant who was large for gestational age (LGA) increased with rising GWG in n/u women (OR = 1.6, p < 0.01, 95% CI 1.23-2.25). Women with o/o were at increased risk for a LGA baby regardless of GWG (OR = 3, p < 0.01, 95% CI 1.34-6.97). This trend persisted in the child's weight development during the first 5 years of life.

CONCLUSION

Women with o/o might increase their offspring's risk for higher weight at birth and in early childhood. In n/u women, GWG might be the more influential factor. Women should strive for normal weight before conception and should be more attentive to GWG.

Gestational weight gain: Toward best practices in managing gestational weight gain in patients with obesity: Comparison of recommendations

BACKGROUND AND AIMS

In 2009, the Institute of Medicine (IOM) issued recommendations for gestational weight gain (GWG) based on body mass index (BMI). Several studies have challenged those recommendations for women with obesity, considering them too liberal and advising more limited weight gain - or even weight loss - during pregnancy to improve maternal and neonatal outcomes. Our aim was to study how gestational weight gain in women with obesity impacted maternal and fetal complications in the Belgian population. We did this by comparing the results from two groups of patients with obesity: those who met the 2009 IOM standards and those who satisfied the stricter recommendations suggested by other authors.

MATERIALS AND METHODS

This is a retrospective cohort study using data collected at the Centre d'Epidémiologie Périnatale (CEpiP) from obese (BMI ≥ 30 kg/m2) pregnant women with live singleton deliveries between 2010 and 2019 in Wallonia-Brussels Federation (n = 65,314).

RESULTS

Compared to obese patients whose GWG satisfied the IOM standards, those with GWG meeting the stricter recommendations had lower rates of gestational hypertension (7.1 % vs. 10.1 %; p = 0.0059), cesarean section (22.1 % vs. 26.3 %; p = 0.0074), and macrosomia (12.0 % vs. 17.7 %; p < 0.0001). There was no significant difference in the rate of preterm delivery (6.9 % vs 5.8 %; p = 0.12) or small-for-gestational-age births (7.2 % vs. 6.2 %; p = 0.16).

CONCLUSION

Gestational weight gain below that currently recommended by the IOM appears beneficial to the health of mothers with obesity and their children. These data, from our population, further challenge the standards proposed since 2009.

Genomic Insights into Gestational Weight Gain: Uncovering Tissue-Specific Mechanisms and Pathways

Increasing gestational weight gain (GWG) is linked to adverse outcomes in pregnant persons and their children. The Early Growth Genetics (EGG) Consortium identified previously genetic variants that could contribute to early, late, and total GWG from fetal and maternal genomes. However, the biologic mechanisms and tissue-Specificity of these variants in GWG is unknown. We evaluated the association between genetically predicted gene expression in five relevant maternal (subcutaneous and visceral adipose, breast, uterus, and whole blood) from GTEx (v7) and fetal (placenta) tissues and early, late, and total GWG using S-PrediXcan. We tested enrichment of pre-defined biological pathways for nominally (P < 0.05) significant associations using the GENE2FUNC module from Functional Mapping and Annotation of Genome-Wide Association Studies. After multiple testing correction, we did not find significant associations between maternal and fetal gene expression and early, late, or total GWG. There was significant enrichment of several biological pathways, including metabolic processes, secretion, and intracellular transport, among nominally significant genes from the maternal analyses (false discovery rate p-values: 0.016 to 9.37×10). Enriched biological pathways varied across pregnancy. Though additional research is necessary, these results indicate that diverse biological pathways are likely to impact GWG, with their influence varying by tissue and weeks of gestation.

Rethinking causal assumptions about maternal BMI, gestational weight gain, and adverse pregnancy outcomes

BACKGROUND

The aim of this study was to evaluate commonly assumed causal relationships between body mass index (BMI), gestational weight gain (GWG), and adverse pregnancy outcomes, which have formed the basis of guidelines and interventions aimed at limiting GWG in women with overweight or obesity. We explored relationships between maternal BMI, total GWG (as a continuous variable and as 'excessive' GWG), and pregnancy outcomes (including infant birthweight measures and caesarean birth).

METHODS

Analysis of individual participant data (IPD) from the i-WIP (International Weight Management in Pregnancy) Collaboration, from randomised trials of diet and/or physical activity interventions during pregnancy reporting GWG and maternal and neonatal outcomes. Women randomised to the control arm of 20 eligible randomised trials (4370 of 8908 participants) from the i-WIP dataset of 36 randomised trials (total 12,240 women). The main research questions were to characterise the relationship between maternal BMI and (a) total GWG, (b) the risk of 'excessive' GWG (using the Institute of Medicine's guidelines), and (c) adverse pregnancy outcomes as mediated via GWG versus other pathways to determine the extent to which the observed effect of maternal BMI on pregnancy outcomes is mediated via GWG. We utilised generalised linear models and regression-based mediation analyses within an IPD meta-analysis framework.

RESULTS

Mean GWG decreased linearly as maternal BMI increased; however, the risk of 'excessive' GWG increased markedly at BMI category thresholds (i.e. between the normal and overweight BMI category threshold and between the overweight and obese BMI category threshold). Increasing maternal BMI was associated with increased risk of all pregnancy outcomes assessed; however, there was no evidence that this effect was mediated via effects on GWG.

CONCLUSIONS

There is evidence of a meaningful relationship between maternal BMI and GWG and between maternal BMI and adverse pregnancy outcomes. There is no evidence that the effect of maternal BMI on outcomes is via an effect on GWG. Our analyses also cast doubt on the existence of a relationship between 'excessive' GWG and adverse pregnancy outcomes. Our findings challenge the practice of actively managing GWG throughout pregnancy.

Uterine leiomyoma causes an increase in systolic blood pressure: a two-sample Mendelian randomization study

Objectives

Hypertension and hypertensive disorders of pregnancy (HDP) are common diseases in women at different stages, which affect women's physical and mental health, and the impact of the latter on the offspring cannot not be ignored. Observational studies have investigated the correlation between uterine leiomyoma (UL) and the above conditions, but the relationship remains unclear. In this study, we employed two-sample Mendelian randomization (MR) analysis to assess the association between UL and hypertension, HDP, as well as blood pressure.

Methods

We collected genetic association data of UL (35,474 cases), hypertension (129,909 cases), HDP (gestational hypertension with 8,502 cases, pre-eclampsia with 6,663 cases and eclampsia with 452cases), systolic blood pressure (SBP) and diastolic blood pressure (DBP) (both 757,601 participants) from published available genome-wide association studies (GWAS). The single nucleotide polymorphisms (SNPs) associated with UL phenotype were used as instrumental variables, and hypertension, three sub-types of HDP, SBP and DBP were used as outcomes. The inverse-variance weighted (IVW) method was employed as the primary method of causal inference. Heterogeneity was assessed using Cochran's Q test, and sensitivity analyses were conducted using MR-Egger regression and MR pleiotropy residual sum and outlier (MR-PRESSO) tests to evaluate the pleiotropy of instrumental variables. PhenoScanner search was used to remove confounding SNP. Robustness and reliability of the results were assessed using methods such as the weighted median and weighted mode.

Results

The IVW analysis revealed a positive correlation between genetically predicted UL and SBP [odds ratio (OR)= 1.67, 95% confidence interval (CI):1.24~2.25, P = 0.0007], and no statistical association was found between UL and hypertension, HDP, or DBP. The MR-Egger regression suggested that the above causal relationships were not affected by horizontal pleiotropy. The weighted median method and weighted model produced similar results to the IVW.

Conclusion

Based on large-scale population GWAS data, our MR analysis suggested a causal relationship between UL and SBP. Therefore, women with UL, especially pregnant women, should pay attention to monitoring their blood pressure levels. For patients with hypertension who already have UL, interventions for UL may serve as potential therapeutic methods for managing blood pressure.

Is gestational diabetes mellitus in lean women a distinct entity warranting a modified management approach?

During pregnancy, insulin resistance and impaired insulin secretion may lead to the development of Gestational Diabetes Mellitus (GDM). Although a higher Body Mass Index (BMI) is often cited as a risk factor for the development of GDM, lean pregnant women are also at risk of developing GDM based on evidence from several studies. It is proposed that insulin deficiency (more than insulin resistance) leads to the development of GDM in women with low BMI (BMI <18.5 kg/m2). Neonates of these women are more at risk of preterm birth and small-for-gestational-age. Given this unique pathophysiology and phenotype, this entity needs a modified management approach. This article aims to raise awareness of GDM in lean women to encourage more research on this topic and create a modified management approach.

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

Background

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.

Results

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).

Conclusion

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.

The influence of maternal prepregnancy weight and gestational weight gain on the umbilical cord blood metabolome: a case-control study

BACKGROUND

Maternal overweight/obesity and excessive gestational weight gain (GWG) are frequently reported to be risk factors for obesity and other metabolic disorders in offspring. Cord blood metabolites provide information on fetal nutritional and metabolic health and could provide an early window of detection of potential health issues among newborns. The aim of the study was to explore the impact of maternal prepregnancy overweight/obesity and excessive GWG on cord blood metabolic profiles.

METHODS

A case control study including 33 pairs of mothers with prepregnancy overweight/obesity and their neonates, 30 pairs of mothers with excessive GWG and their neonates, and 32 control mother-neonate pairs. Untargeted metabolomic profiling of umbilical cord blood samples were performed using UHPLC‒MS/MS.

RESULTS

Forty-six metabolites exhibited a significant increase and 60 metabolites exhibited a significant reduction in umbilical cord blood from overweight and obese mothers compared with mothers with normal body weight. Steroid hormone biosynthesis and neuroactive ligand‒receptor interactions were the two top-ranking pathways enriched with these metabolites (P = 0.01 and 0.03, respectively). Compared with mothers with normal GWG, in mothers with excessive GWG, the levels of 63 metabolites were increased and those of 46 metabolites were decreased in umbilical cord blood. Biosynthesis of unsaturated fatty acids was the most altered pathway enriched with these metabolites (P < 0.01).

CONCLUSIONS

Prepregnancy overweight and obesity affected the fetal steroid hormone biosynthesis pathway, while excessive GWG affected fetal fatty acid metabolism. This emphasizes the importance of preconception weight loss and maintaining an appropriate GWG, which are beneficial for the long-term metabolic health of offspring.

Safety of low weight gain or weight loss in pregnancies with class 1, 2, and 3 obesity: a population-based cohort study

BACKGROUND

There are concerns that current gestational weight gain recommendations for women with obesity are too high and that guidelines should differ on the basis of severity of obesity. In this study we investigated the safety of gestational weight gain below current recommendations or weight loss in pregnancies with obesity, and evaluated whether separate guidelines are needed for different obesity classes.

METHODS

In this population-based cohort study, we used electronic medical records from the Stockholm-Gotland Perinatal Cohort study to identify pregnancies with obesity (early pregnancy BMI before 14 weeks' gestation ≥30 kg/m2) among singleton pregnancies that delivered between Jan 1, 2008, and Dec 31, 2015. The pregnancy records were linked with Swedish national health-care register data up to Dec 31, 2019. Gestational weight gain was calculated as the last measured weight before or at delivery minus early pregnancy weight (at <14 weeks' gestation), and standardised for gestational age into z-scores. We used Poisson regression to assess the association of gestational weight gain z-score with a composite outcome of: stillbirth, infant death, large for gestational age and small for gestational age at birth, preterm birth, unplanned caesarean delivery, gestational diabetes, pre-eclampsia, excess postpartum weight retention, and new-onset longer-term maternal cardiometabolic disease after pregnancy, weighted to account for event severity. We calculated rate ratios (RRs) for our composite adverse outcome along the weight gain z-score continuum, compared with a reference of the current lower limit for gestational weight gain recommended by the US Institute of Medicine (IOM; 5 kg at term). RRs were adjusted for confounding factors (maternal age, height, parity, early pregnancy BMI, early pregnancy smoking status, prepregnancy cardiovascular disease or diabetes, education, cohabitation status, and Nordic country of birth).

FINDINGS

Our cohort comprised 15 760 pregnancies with obesity, followed up for a median of 7·9 years (IQR 5·8-9·4). 11 667 (74·0%) pregnancies had class 1 obesity, 3160 (20·1%) had class 2 obesity, and 933 (5·9%) had class 3 obesity. Among these pregnancies, 1623 (13·9%), 786 (24·9%), and 310 (33·2%), respectively, had weight gain during pregnancy below the lower limit of the IOM recommendation (5 kg). In pregnancies with class 1 or 2 obesity, gestational weight gain values below the lower limit of the IOM recommendation or weight loss did not increase risk of the adverse composite outcome (eg, at weight gain z-score -2·4, corresponding to 0 kg at 40 weeks: adjusted RR 0·97 [95% CI 0·89-1·06] in obesity class 1 and 0·96 [0·86-1·08] in obesity class 2). In pregnancies with class 3 obesity, weight gain values below the IOM limit or weight loss were associated with reduced risk of the adverse composite outcome (eg, adjusted RR 0·81 [0·71-0·89] at weight gain z-score -2·4, or 0 kg).

INTERPRETATION

Our findings support calls to lower or remove the lower limit of current IOM recommendations for pregnant women with obesity, and suggest that separate guidelines for class 3 obesity might be warranted.

FUNDING

Karolinska Institutet and the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Association of maternal weight gain in early pregnancy with congenital heart disease in offspring: a China birth cohort study

OBJECTIVES

Little study has reported the association of maternal weight gain in early pregnancy with fetal congenital heart disease (CHD). We aimed to explore the potential relationship based on a China birth cohort while adjusting by multiple factors.

DESIGN

Cohort study.

SETTING

China birth cohort study conducted from 2017 to 2021.

PARTICIPANTS

The study finally included 114 672 singleton pregnancies in the 6-14 weeks of gestation, without missing data or outliers, loss to follow-up or abnormal conditions other than CHD. The proportion of CHD was 0.65% (749 cases).

PRIMARY AND SECONDARY OUTCOME MEASURES

Association between maternal pre-pregnancy weight gain and CHD in the offspring were analysed by multivariate logistic regression, with the unadjusted, minimally adjusted and maximally adjusted methods, respectively.

RESULTS

The first-trimester weight gain showed similar discrimination of fetal CHD to that period of maternal body mass index (BMI) change (DeLong tests: p=0.091). Compared with weight gain in the lowest quartile (the weight gain less than 0.0 kg), the highest quartile (over 2.0 kg) was associated with a higher risk of fetal CHD in unadjusted (OR 1.36, 95% CI: 1.08 to 1.72), minimally adjusted (adjusted OR (aOR) 1.29, 95% CI: 1.02 to 1.62) and maximally adjusted (aOR 1.29, 95% CI: 1.02 to 1.63) models. The association remains robust in pregnant women with morning sickness, normal pre-pregnancy BMI, moderate physical activity, college/university level, natural conception or with folic acid (FA) and/or multivitamin supplementation.

CONCLUSIONS AND RELEVANCE

Although the association of maternal pre-pregnancy weight gain on fetal CHD is weak, the excessive weight gain may be a potential predictor of CHD in the offspring, especially in those with morning sickness and other conditions that are routine in the cohort, such as normal pre-pregnancy BMI, moderate physical activity, college/university level, natural conception or with FA and/or multivitamin supplementation.

Gestational weight gain and pregnancy outcomes in Chinese women with type 2 diabetes mellitus: evidence from a tertiary hospital in Beijing

Objective

To examine the effects of gestational weight gain on pregnancy outcomes and determine the optimal range of weight gain during pregnancy for Chinese women with type 2 diabetes mellitus.

Methods

This retrospective cohort study included 691 Chinese women with type 2 diabetes mellitus from 2012 to 2020. The study utilized a statistical-based approach to determine the optimal range of gestational weight gain. Additionally, multivariate logistic regression analysis was conducted to assess the impact of gestational weight gain on pregnancy outcomes.

Results

(1) In the obese subgroup, gestational weight gain below the recommendations was associated with decreased risks of large for gestational age (adjusted odds ratio [aOR] 0.19; 95% confidence interval [CI] 0.06-0.60) and macrosomia (aOR 0.18; 95% CI 0.05-0.69). In the normal weight subgroup, gestational weight gain below the recommendations of the Institute of Medicine was associated with decreased risks of preeclampsia (aOR 0.18; 95% CI 0.04-0.82) and neonatal hypoglycemia (aOR 0.38; 95% CI 0.15-0.97). (2) In the normal weight subgroup, gestational weight gain above the recommendations of the Institute of Medicine was associated with an increased risk of large for gestational age (aOR 4.56; 95% CI 1.54-13.46). In the obese subgroup, gestational weight gain above the recommendations was associated with an increased risk of preeclampsia (aOR 2.74; 95% CI 1.02, 7.38). (3) The optimal ranges of gestational weight gain, based on our study, were 9-16 kg for underweight women, 9.5-14 kg for normal weight women, 6.5-12 kg for overweight women, and 3-10 kg for obese women. (4) Using the optimal range of gestational weight gain identified in our study seemed to provide better prediction of adverse pregnancy outcomes.

Conclusion

For Chinese women with type 2 diabetes, inappropriate gestational weight gain is associated with adverse pregnancy outcomes, and the optimal range of gestational weight gain may differ from the Institute of Medicine recommendations.

Prevalence of gestational diabetes mellitus risk factors in singleton pregnancies obtained by assisted reproductive technology: An observational, retrospective, real-world study from a pregnancy registry

AIMS

Several studies showed that Assisted Reproductive Technology (ART) could affect gestational diabetes mellitus (GDM) onset. The aim of this study was to estimate the prevalence of GDM risk factors in a cohort of women with singleton pregnancy obtained by ART and complicated by GDM. Maternal and neonatal outcomes were explored.

METHODS

We retrospectively collected data of pregnancies of women with singleton pregnancy obtained by ART and complicated by GDM consecutively cared for at a specialized center for diabetes and pregnancy care. Prevalence and combination of GDM risk factors, their combinations and maternal-fetal outcomes were estimated.

RESULTS

Overall, our cohort included 50 women (mean age of 40.4 ± 4.7 years, mean pre-pregnancy BMI 26.3 ± 6.2 kg/m2). The most frequent GDM traditional risk factors were age ≥ 35 years (94 %), family history of diabetes (44 %), overweight (29 %) and obesity (19 %). Combining risk factors, 5 groups were identified with 1, 2, 3, 4, or 5 risk factors with a prevalence respectively of 28 %, 46 %, 20 %, 4 %, and 2 %. Examining features of the above groups, pre-pregnancy weight (p < 0.0001) and pre-pregnancy BMI (p < 0.0001) statistically significant differed in the 5 groups, increasing with higher numbers of risk factors. Regarding neonatal outcomes only neonatal hypoglycemia (p = 0.03) differed significantly among the groups, with higher percentages in women with higher numbers of combined risk factors.

CONCLUSION

Prevalence of GDM traditional risk factors in singleton ART pregnancies complicated by GDM is considerable. Such pregnancies need appropriate clinical attention because of the risk of adverse outcomes.

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Pregnancy is a time filled with uncertainties, which can be challenging and lead to fear or anxiety for expectant parents. Health monitoring technologies that allow monitoring of the vital signs of both the mother and fetus offer a way to address health-related uncertainties. But are smart health monitoring technologies (SHMTs) actually an effective means to reduce uncertainties during pregnancy, or do they have the opposite effect? Using conceptual reasoning and phenomenological approaches grounded in existing literature, this Viewpoint explores the effects of SHMTs on health-related uncertainties during pregnancy. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.Using conceptual reasoning and phenomenological approaches grounded in existing literature, the effects of SHMTs on health-related uncertainties during pregnancy are explored. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.

Cohort profile: Life-course experiences and pregnancy (LEAP)-A retrospective pregnancy cohort for life-course reproductive health research

BACKGROUND

Life course factors may be associated with pre-pregnancy body mass index and gestational weight gain; however, collecting information on pre-pregnancy exposures and pregnancy health in the same cohort is challenging.

OBJECTIVES

The Life-course Experiences And Pregnancy (LEAP) study aims to identify adolescent and young adult risk factors for pre-pregnancy weight and gestational weight gain (GWG). We built upon an existing cohort study to overcome challenges inherent to studying life course determinants of pregnancy health.

POPULATION

Participants in an ongoing prospective cohort study of weight-related health who identified as women.

DESIGN

Retrospective cohort study.

METHODS

In 2019-2020, 1,252 women participating since adolescence in a cohort study of weight-related health were invited to complete an online reproductive history survey. Participants who reported a live birth were invited to release their prenatal, delivery, and postpartum medical records for validation of survey reports. Descriptive analyses were conducted to assess the characteristics of the overall cohort and the medical record validation subsample, and to describe adolescent and young adult characteristics of those with high (>80th percentile), moderate (20th-80th percentile), and low (<20th percentile) GWG z-score for gestational age and pre-pregnancy weight status.

PRELIMINARY RESULTS

Nine hundred seventy-seven women (78%) completed the LEAP survey and 656 reported a live birth. Of these, 379 (58%) agreed to release medical records, and 250 records were abstracted (66% of the 379). Of the 977 survey respondents 769 (79%) reported attempting a pregnancy, and 656 (67%) reported at least one live birth. The validation subsample was similar to the overall cohort. Women with a high GWG had a higher adolescent BMI percentile and prevalence of unhealthy weight control behaviors than those with moderate or low GWG.

CONCLUSIONS

LEAP offers a valuable resource for identifying life course factors that may influence the health of pregnant people and their offspring.

Recent Insights and Recommendations for Preventing Excessive Gestational Weight Gain

Recommendations for weight gain during pregnancy are based on pre-pregnancy body mass index (BMI). Pregnancy is a risk factor for excessive weight gain and many endocrine problems, making it difficult to return to pre-pregnancy weight and increasing the risk of postpartum obesity and, consequently, type 2 diabetes and metabolic syndrome. Both excessive gestational weight gain (EGWG) and obesity are associated with an increased risk of gestational hypertension, pre-eclampsia, gestational diabetes, cesarean section, shoulder dystocia, and neonatal macrosomia. In the long term, EGWG is associated with increased morbidity and mortality, particularly from diabetes, cardiovascular disorders, and some cancers. This study aims to present recommendations from various societies regarding weight gain during pregnancy, dietary guidance, and physical activity. In addition, we discuss the pathophysiology of this complication and the differential diagnosis in pregnant women with EGWG. According to our research, inadequate nutrition might contribute more significantly to the development of EGWG than insufficient physical activity levels in pregnant women. Telehealth systems seem to be a promising direction for future EGWG prevention by motivating women to exercise. Although the importance of adequate pre-pregnancy weight and weight gain during pregnancy is well known, an increasing number of women gain excessive weight during pregnancy.

Investigation of optimal weight gain during pregnancy: A retrospective analysis of the Japanese perinatal registry database

AIM

This study aimed to determine the weight gain during pregnancy that minimizes the predicted probability of various perinatal adverse events according to the pre-pregnancy body mass index (BMI) and make recommendations for optimal weight gain in Japan.

METHODS

The Japan Society of Obstetrics and Gynecology perinatal database for 2015-2017 was used. From the 719 723 deliveries included in this database, parturients with underlying diseases or missing data were excluded, and 419 114 deliveries were analyzed. A questionnaire survey was also conducted to weigh each perinatal adverse event. For each of the nine outcomes, a restricted cubic spline model was made to estimate the association between the "expected gestational weight gain at 40 weeks" and the outcome risk.

RESULTS

Since the classes of medical facilities were generally the same, weights were assigned according to the mean of the questionnaires rather than by the class of the facility. For each pre-pregnancy BMI, the weight gains during pregnancy that minimized the predicted probability of various adverse perinatal events were 12-15, 10-13, 7-10, and upper limit of 5 kg for the underweight, normal-weight, obese 1, and obese ≥2 groups, respectively.

CONCLUSIONS

The weight gain during pregnancy that minimizes the predicted probability of various perinatal adverse events according to the pre-pregnancy BMI was established.

Obesity in prenatal medicine: a game changer?

Obesity is recognized by the World Health Organization (WHO) as a disease in its own right. Moreover, obesity is an increasingly concerning public health issue across the world and its prevalence is rising amongst women of reproductive age. The fertility of over-weight and obese women is reduced and they experience a higher rate of miscarriage. In pregnant women obesity not only increases the risk of antenatal complications, such as preeclampsia and gestational diabetes, but also fetal abnormalities, and consequently the overall feto-maternal mortality. Ultrasound is one of the most valuable methods to predict and evaluate pregnancy complications. However, in overweight and obese pregnant women, the ultrasound examination is met with several challenges, mainly due to an impaired acoustic window. Overall obesity in pregnancy poses special challenges and constraints to the antenatal care and increases the rate of pregnancy complications, as well as complications later in life for the mother and child.

Maternal metabolic profiling across body mass index groups: An exploratory longitudinal study

INTRODUCTION

Increased BMI has been identified as a risk factor for most pregnancy complications, but the underlying metabolic factors mediating the detrimental effects of BMI are largely unknown. We aimed to compare metabolic profiles in overweight/obese women (body mass index [BMI] ≥ 25 kg/m2 ) and normal weight/underweight women (BMI < 25 kg/m2 ) across gestation. We also explored how gestational weight gain (GWG) affected maternal metabolic profiles.

MATERIAL AND METHODS

Exploratory nested case-control study based on a prospective longitudinal cohort of women who were healthy prior to pregnancy and gave birth at Oslo University Hospital from 2002 to 2008. The sample consisted of 48 women who were overweight/obese and 59 normal-weight/underweight women. Plasma samples from four time points in pregnancy (weeks 14-16, 22-24, 30-32 and 36-38) were analyzed by nuclear magnetic resonance spectroscopy and 91 metabolites were measured. Linear regression models were fitted for each of the metabolites at each time point.

RESULTS

Overweight or obese women had higher levels of lipids in very-low-density lipoprotein (VLDL), total triglycerides, triglycerides in VLDL, total fatty acids, monounsaturated fatty acids, saturated fatty acids, leucine, valine, and total branched-chain amino acids in pregnancy weeks 14-16 compared to underweight and normal-weight women. Docosahexaenoic acid and degree of unsaturation were significantly lower in overweight/obese women in pregnancy weeks 36-38. In addition, overweight or obese women had higher particle concentration of XXL-VLDL and glycoprotein acetyls (GlycA) at weeks 14-16 and 30-32. GWG did not seem to affect the metabolic profile, regardless of BMI group when BMI was treated as a dichotomous variable, ≥25 kg/m2 (yes/no).

CONCLUSIONS

Overweight or obese women had smaller pregnancy-related metabolic alterations than normal-weight/underweight women. There was a trend toward higher triglyceride and VLDL particle concentration in overweight/obese women. As this was a hypothesis-generating study, the similarities with late-onset pre-eclampsia warrant further investigation. The unfavorable development of fatty acid composition in overweight/obese women, with possible implication for the offspring, should also be studied further in the future.

An overview of diabetes mellitus in pregnant women with obesity

Rates of obesity are increasing world-wide with an estimated 1billion people projected to be obese by 2030 if current trends remain unchanged. Obesity currently considered one of the most significant associated factors of non-communicable diseases poses the greatest threat to health. Diabetes mellitus is an important metabolic disorder closely associated with obesity. It is therefore expected that with the increasing rates of obesity, the rates of diabetes in pregnancy will also be rising. This disorder may pre-date pregnancy (diagnosed or undiagnosed and diagnosed for the first time in pregnancy) or may be of onset in pregnancy. Irrespective of the timing of onset, diabetes in pregnancy is associated with both fetal and maternal complications. Outcomes are much better if control is maximised. Early diagnosis, multidisciplinary care and tailored management with optimum glycaemic control is associated with a significant reduction in not only pregnancy complications but long-term consequences on both the mother and offspring. This review brings together the current understanding of the pathogenesis of the endocrine derangements that are associated with diabetes in pregnancy how screening should be offered and management including pre-pregnancy care and the role of newer agents in management.

Probiotics Supplementation during Pregnancy: Can They Exert Potential Beneficial Effects against Adverse Pregnancy Outcomes beyond Gestational Diabetes Mellitus?

BACKGROUND

Probiotics, as supplements or food ingredients, are considered to exert promising healthy effects when administered in adequate quantity. Probiotics' healthy effects are related with the prevention of many diseases, as well as decreasing symptom severity. Currently, the most available data concerning their potential health effects are associated with metabolic disorders, including gestational diabetes mellitus. There is also clinical evidence supporting that they may exert beneficial effects against diverse adverse pregnancy outcomes. The purpose of the current narrative study is to extensively review and analyze the current existing clinical studies concerning the probable positive impacts of probiotics supplementation during pregnancy as a protective agent against adverse pregnancy outcomes beyond gestational diabetes mellitus.

METHODS

a comprehensive and thorough literature search was conducted in the most precise scientific databases, such as PubMed, Scopus, and Web of Sciences, utilizing efficient, representative, and appropriate keywords.

RESULTS

in the last few years, recent research has been conducted concerning the potential beneficial effects against several adverse pregnancy outcomes such as lipid metabolism dysregulation, gestational hypertensive disorders, preterm birth, excessive gestational weight gain, caesarean risk section, vaginal microbiota impairment, mental health disturbances, and others.

CONCLUSION

up to the present day, there is only preliminary clinical data and not conclusive results for probiotics' healthy effects during pregnancy, and it remains questionable whether they could be used as supplementary treatment against adverse pregnancy outcomes beyond gestational diabetes mellitus.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Weight Categories, Trajectories, Eating Behavior, and Metabolic Consequences during Pregnancy and Postpartum in Women with GDM

Pre-pregnancy overweight and obesity are associated with increased risk for adverse outcomes, such as gestational diabetes mellitus (GDM). This study investigated weight trajectories, eating behaviors, and metabolic consequences in women with GDM during pregnancy and postpartum according to pre-pregnancy BMI. We prospectively included 464 women with GDM. Intuitive eating (Intuitive Eating Scale-2 questionnaire), gestational weight gain (GWG), postpartum weight retention (PPWR) at 6-8 weeks and 1-year postpartum, and glucose intolerance (prediabetes and diabetes) at 1-year were assessed. Women with obesity (WOB) had lower GWG but gained more weight in the postpartum (p < 0.0001). PPWR at 1-year did not differ across BMI categories (p = 0.63), whereas postpartum weight loss was most pronounced in women with normal weight (p < 0.0001), and within this category, in their lowest tertile (p < 0.05). Intuitive eating was not linked to perinatal weight changes but differed among BMI categories. PPWR predicted a 2.5-fold increased risk of glucose intolerance at 1-year independent of pre-pregnancy BMI (p < 0.001), and the adverse metabolic impact of PPWR was most pronounced in WOB with odds of increased risk of glucose intolerance 8.9 times higher (95% CI 2.956;26.968). These findings suggest an adaptive capacity to relatively rapid weight changes in the perinatal period that is less present with higher BMI.

Association between lipid profile in early pregnancy and the risk of congenital heart disease in offspring: a prospective cohort study

This study aimed to investigate the association of lipid profile in early pregnancy and the risk of congenital heart disease (CHD) in offspring. This study was a prospective cohort design based on the Fujian Birth Cohort Study in China. We recruited pregnant women at ≤ 14 weeks of gestation between 2019 and 2022, and all participants in this study filled out the questionnaire about periconceptional exposure. Simultaneously, we collected participants' fasting blood samples to measure their lipid profile by automatic biochemical analyzer. The outcome was defined as offspring with CHD. A multivariable logistic regression model was used to calculate adjusted odds ratio (AOR) risk estimates, which indicate the associations between maternal lipid profiles and CHD in offspring. Restricted cubic splines were used to estimate their nonlinear relationship. A total of 21,425 pregnant women with an average gestational age of 11.3 (± 1.40) weeks were included in the analysis. The higher triglyceride (AOR 1.201, 95% CI [1.036, 1.394]), low-density lipoprotein (AOR 1.216, 95% CI [1.048, 1.410]), apolipoprotein B (Apo B) (AOR 2.107, 95% CI [1.179, 3.763]) levels were correlated with increased odds of CHD in offspring, while high-density lipoprotein (OR 0.672, 95% CI [0.490, 0.920]) related with decreased odds of CHD in offspring. The restricted cubic spline suggested a nonlinear relationship between total cholesterol (TC) levels and the risk of CHD in offspring (P = 0.0048), but no significant nonlinear relationships were found in other lipid profile. Apolipoprotein A was not related to the risk of CHD in offspring as either a continuous variable or a hierarchical variable. Elevated lipid profile in early pregnancy levels are associated with an increased risk of CHD in offspring. Additionally, there is a non-linear relationship between TC levels and the risk of CHD in offspring.

The exploration of optimal gestational weight gain after oral glucose tolerance test for Chinese women with gestational diabetes mellitus

Now, no recommendations of gestational weight gain (GWG) after gestational diabetes mellitus (GDM) diagnosis for Chinese women was made. This study aimed to explore the optimal GWG after oral glucose tolerance test (OGTT) for Chinese women with GDM. The GWG status of 11,570 women was retrospectively analyzed. Binary regression model and restricted cubic spline were used to estimate the association between GWG after OGTT and the predicted probability of adverse outcomes. Based on above, the optimal GWG was defined as the range that not exceed 1% increase in the predicted probability from the lowest point. Results shown that every increased one unit GWG after OGTT was associated with higher risks of macrosomia, cesarean section and LGA, and lower risk of preterm birth. According to the WHO and Working Group on Obesity in China (WGOC) recommended pre-pregnancy BMI category, the optimal GWG were proposed: 3.66 to 6.66 kg/3.66 to 6.66 kg in underweight group, 3.07 to 6.50 kg/3.02 to 6.40 kg in normal weight group, 1.06 to 2.73 kg/0 to 1.99 kg in overweight group, and not applicable/- 0.22 to 2.53 kg in obese group, respectively. Therefore, it is necessary to classified Chinese population based on the WGOC recommended pre-pregnancy BMI category, that influenced the contribution of pre-pregnancy BMI groups and the optimal GWG recommendation for GDM women with overweight or obesity.