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.

Substance P Concentration in Gestational Diabetes and Excessive Gestational Weight Gain and Its Impact on Neonatal Anthropometry.

Fetal programming is a process initiated by intrauterine conditions, leaving a lasting impact on the offspring's health, whether they manifest immediately or later in life. It is believed that children born to mothers with gestational diabetes mellitus (GDM) and excessive gestational weight gain (EGWG) may be at an increased risk of developing type 2 diabetes mellitus (T2DM) and obesity later in their adult lives. Substance P is a neurotransmitter associated with obesity development and impairment of insulin signaling. Dysregulation of substance P could lead to several pregnancy pathologies, such as preeclampsia and preterm birth. Our study aimed to compare substance P concentrations in serum and umbilical cord blood in patients with GDM, EGWG, and healthy women with a family history of gestational weight gain. Substance P levels in umbilical cord blood were significantly higher in the GDM group compared to the EGWG and control groups. Substance P levels in serum and umbilical cord blood were positively correlated in all groups and the GDM group. A very interesting direction for future research is the relationship between the concentration of substance P in newborns of diabetic mothers and the occurrence of respiratory distress syndrome as a complication of impaired surfactant synthesis. To our knowledge, it is the first study assessing substance P concentration in GDM and EGWG patients.

Association of prepregnancy body mass index and gestational weight gain trajectory with adverse pregnancy outcomes-a prospective cohort study in Shanghai.

OBJECTIVES: The objective was to investigate the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) trajectories with adverse pregnancy outcomes (APOs). DESIGN: This was a prospective cohort study. SETTING: This study was conducted in Shanghai Pudong New Area Health Care Hospital for Women and Children, Shanghai, China. PRIMARY AND SECONDARY OUTCOME MEASURES: A cohort study involving a total of 2174 pregnant women was conducted. Each participant was followed to record weekly weight gain and pregnancy outcomes. The Institute of Medicine classification was used to categorise prepregnancy BMI, and four GWG trajectories were identified using a latent class growth model. RESULTS: The adjusted ORs for the risks of large for gestational age (LGA), macrosomia, gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) were significantly greater for women with prepregnancy overweight/obesity (OR=1.77, 2.13, 1.95 and 4.24; 95% CI 1.3 to 2.42, 1.32 to 3.46, 1.43 to 2.66 and 2.01 to 8.93, respectively) and lower for those who were underweight than for those with normal weight (excluding HDP) (OR=0.35, 0.27 and 0.59; 95% CI 0.22 to 0.53, 0.11 to 0.66 and 0.36 to 0.89, respectively). The risk of small for gestational age (SGA) and low birth weight (LBW) was significantly increased in the underweight group (OR=3.11, 2.20; 95% CI 1.63 to 5.92, 1.10 to 4.41; respectively) compared with the normal-weight group; however, the risk did not decrease in the overweight/obese group (p=0.942, 0.697, respectively). GWG was divided into four trajectories, accounting for 16.6%, 41.4%, 31.7% and 10.3% of the participants, respectively. After adjustment for confounding factors, the risk of LGA was 1.54 times greater for women in the slow GWG trajectory group than for those in the extremely slow GWG trajectory group (95% CI 1.07 to 2.21); the risk of SGA and LBW was 0.37 times and 0.46 times lower for women in the moderate GWG trajectory group and 0.14 times and 0.15 times lower for women in the rapid GWG trajectory group, respectively; the risk of macrosomia and LGA was 2.65 times and 2.70 times greater for women in the moderate GWG trajectory group and 3.53 times and 4.36 times greater for women in the rapid GWG trajectory group, respectively; and the women in the other three trajectory groups had a lower risk of GDM than did those in the extremely slow GWG trajectory group, but there was not much variation in the ORs. Notably, different GWG trajectories did not affect the risk of HDP. CONCLUSIONS: As independent risk factors, excessively high and low prepregnancy BMI and GWG can increase the risk of APOs.

Post-partum weight retention in Northeastern Brazilian women: a prospective NISAMI cohort study.

BACKGROUND: Weight retention during the post-partum period is associated with excessive weight gain. OBJECTIVES: To investigate factors associated with maternal weight retention at six months post-partum (PPWR). DESIGN AND SETTING: A prospective cohort study was conducted with 127 women monitored using prenatal services. METHODS: The outcome variable was represented by post-partum maternal weight retention and calculated as the difference between the mother's weight at sixth month post-partum and her pregestational weight. RESULTS: The mean age of the pregnant women was 26.7 ± 5.25 years old, and the post-partum maternal weight retention was 46.5%. The proximal determinants showed a direct association with PPWR after adjusting for the distal and intermediate variables: excessive gestational weight gain (odds ratio [OR]:3.34; confidence interval [CI]:1.16-9.59), greater adhesion to dietary intake pattern 2 (composed of red meats and derivatives, eggs, industrialized foods, and coffee) (OR:2.70; CI:1.16-6.32), and the absence of exclusive maternal breastfeeding in the first month (OR:3.40; CI:1.27-9.12), as well as primiparity (OR:2.36; CI:1.00-5.55), an intermediate determinant. Insufficient weight gain in pregnancy was inversely associated with the outcome (OR:0.35; CI:0.31-0.93). CONCLUSIONS: Among the hierarchical determinants, proximal factors were interrelated with maternal weight retention, indicating that excessive total weight gain, an inadequate dietary intake pattern, and the absence of exclusive maternal breastfeeding in the first month of life work as dampeners of the return to pre-gestational weight. Prepartum and post-partum care interventions can contribute to reducing excess weight in women.

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.

Recomendaciones médicas desde atención primaria sobre ejercicio físico en el posparto / Medical recommendations from primary care on physical exercise in the postpartum

Existe evidencia que demuestra los beneficios de la práctica de actividad física (AF)/ejercicio para la madre después del parto. Sin embargo, este periodo posparto (PP) es, a menudo, una oportunidad perdida en el curso de la vida de las mujeres, para comenzar o reanudar la práctica de ejercicio físico, y obtener los grandes beneficios que esto les puede reportar. El objetivo de este artículo fue analizar los beneficios del ejercicio durante el PP; la prescripción de AF; las recomendaciones sobre el momento de reanudar su práctica; las barreras y facilitadores; el ejercicio físico realizado durante la lactancia materna; así como su papel en las enfermedades y molestias más frecuentes en este periodo, teniendo siempre presente que la labor del médico de atención primaria resulta fundamental para motivar y alentar a las mujeres para que lo practiquen después del parto. (AU)

There is evidence that demonstrates the benefits of practicing physical activity/exercise for the mother after childbirth. However, this postpartum period (PP) is often a missed opportunity in a lifetime for women to start or resume physical exercise and get the great benefits that it can bring them. The objective of this article was to analyze the benefits of physical exercise during PP; the prescription of physical exercise; recommendations on when to resume your practice; barriers and facilitators; physical exercise during breastfeeding; as well as its role in the most frequent illnesses and discomforts in this period, always keeping in mind that the work of the primary care doctor is essential to motivate and encourage women to perform physical exercise in the PP. (AU)

Pre-pregnancy body mass index, gestational diabetes mellitus, and gestational weight gain: individual and combined effects on fetal growth.

Background: Pre-pregnancy body mass index (BMI), gestational diabetes mellitus (GDM), and gestational weight gain (GWG) are interlinked and may play a complex role in fetal growth. We aimed to examine the relationship between pre-pregnancy BMI, GDM, GWG, and fetal growth outcomes and explore the contribution of GDM and GWG to the relationship between Pre-pregnancy obesity/overweight and large-for-gestational-age (LGA) in a prospective cohort. Methods: We prospectively recruited women in the first trimester and having one-step GDM screened with a 75-g oral glucose tolerance test between 24 and 28 weeks of gestation (n = 802). Outcomes included LGA, small-for-gestational-age (SGA), and preterm birth. To assess the individual and cumulative associations between pre-pregnancy BMI, GDM, GWG, and these outcomes, we used multivariate logistic regression analysis. Furthermore, we employed structural equation modeling (SEM) to investigate the mediating role of GDM and excessive GWG in the correlation between pre-pregnancy overweight/obesity and LGA. Results: Pre-pregnancy obesity, GDM, and excessive GWG were all independently associated with increased odds of LGA. Inadequate GWG was associated with higher odds of preterm birth. Compared with women unexposed to pre-pregnancy overweight/obesity, GDM, or excessive GWG, women exposed any two conditions had higher odds for LGA (AOR 3.18, 95% CI 1.25-8.11) and women with coexistence of all had the highest odds for LGA (AOR 8.09, 95% CI 2.18-29.97). The mediation analysis showed that GDM explained 18.60% (p < 0.05) of the total effect of pre-pregnancy overweight/obesity on LGA, and GWG explained 17.44% (p < 0.05) of the total effect. Conclusion: Pre-pregnancy obesity/overweight, GDM, and excessive GWG are associated with higher odds of fetal growth disturbances as individual factors and when they co-exist. The effect of pre-pregnancy overweight/obesity on LGA is partially achieved through GDM and excessive GWG.

Healthful Eating Behaviors among Couples Contribute to Lower Gestational Weight Gain.

Through longitudinal analysis from the GLOWING cohort study, we examined the independent and joint relationships between couples' eating behaviors and gestational weight gain (GWG). Pregnant persons (n = 218) and their non-pregnant partners (n = 157) completed an Eating Inventory. GWG was calculated as gestation weight at 36 weeks minus that at 10 weeks. General linear models were used to examine the relationships between GWG and the pregnant persons, non-pregnant partners, and couples (n = 137; mean of pregnant persons and non-pregnant partners) cognitive restraint (range 0-21), dietary disinhibition (range 0-18), and perceived hunger (range 0-14), with higher scores reflecting poorer eating behaviors. The adjusted models included race/ethnicity, education, income, marital status, and age. The pregnant persons and their non-pregnant partners' cognitive restraint, dietary disinhibition, and perceived hunger scores were 9.8 ± 4.7, 4.8 ± 3.2, and 4.4 ± 2.5 and 6.6 ± 4.6, 5.4 ± 3.4, and 4.7 ± 3.2, respectively. Higher cognitive restraint scores among the pregnant persons and couples were positively associated with GWG (p ≤ 0.04 for both). Stratified analyses revealed this was significant for the pregnant persons with overweight (p ≤ 0.04). The non-pregnant partners' eating behaviors alone were not significantly associated with GWG (p ≥ 0.31 for all). The other explored relationships between GWG and the couples' eating behaviors were insignificant (p ≥ 0.12 for all). Among the pregnant persons and couples, reduced GWG may be achieved with higher levels of restrained eating. Involving non-pregnant partners in programs to optimize GWG may be beneficial.

Impact of anthro-metabolic indices and gestational weight gain on maternal and neonatal outcomes: a prospective observational study.

OBJECTIVE: The aim of this study was to examine the relationship of anthro-metabolic indices on maternal and neonatal outcomes. METHODS: This prospective observational study was conducted on healthy mother-baby pairs between January 1, 2023 and July 1, 2023. Detailed sociodemographic information was collected through an interview with the mother. Clinical, biochemical, obstetric, fetal, and neonatal outcomes were abstracted from hospital medical records. Anthropometric measurements were obtained from the examination of mother-baby pairs. RESULTS: A total of 336 healthy mothers-children pairs were included. Mothers of newborn ≥4000 g had higher gestational age (p=0.003), body mass index (p=0.003), gestational weight gain (p=0.016), waist circumferences (p=0.002), and hip circumferences (p=0.001). gestational weight gain was associated with the mode of delivery (p=0.023). waist-to-hip ratio (p=0.005), gestational weight gain (p=0.013), and a body shape index (p<0.001) were associated with longer length of hospital stay. Age (p<0.001) and inter-pregnancy interval (p=0.004) were higher in pre-pregnancy underweight/obese mothers. Receiver operating characteristic analysis revealed that maternal waist circumferences (AUC: 0.708, p=0.005), maternal weight (AUC: 0.690, p=0.010), and hip circumferences (AUC: 0.680, p=0.015) were sufficient to predict macrosomia (p<0.05). CONCLUSION: The study demonstrated a significant association between gestational weight gain and cesarean delivery, prolonged hospital stay, and macrosomia. It was also found that maternal body mass index, waist circumferences, and hip circumferences during pregnancy were associated with macrosomia. On the contrary, no significant relationship was found between maternal anthro-metabolic characteristics and maternal-fetal and birth outcomes.

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.

Gestational Weight Gain: Is the Role of Genetic Variants a Determinant? A Review.

Excessive or insufficient gestational weight gain (GWG) leads to diverse adverse maternal and neonatal outcomes. There is evidence that pregestational body mass index (pBMI) plays a role in GWG, but no genetic cause has been identified. In this review, we aim to analyze genotype variants associated with GWG. Results: We identified seven genotype variants that may be involved in GWG regulation that were analyzed in studies carried out in Brazil, Romania, the USA, Turkey, Ukraine, and Canada. Some genetic variants were only associated with GWG in certain races or depending on the pBMI. In women who were obese or overweight before gestation, some genetic variants were associated with GWG. Environmental and genetic factors together showed a greater association with GWG than genetic factors alone; for example, type of diet was observed to have a significant influence. Conclusions: We found little scientific evidence of an association between genotype variants in countries with a high prevalence of women of reproductive age who are overweight and obese, such as in Latin America. GWG may be more dependent on environmental factors than genetic variants. We suggest a deeper study of genetic variants, cytokines, and their possible association with GWG, always with the respective control of potential cofounding factors, such as pBMI, diet, and race.

Postpartum weight retention and the early evolution of cardiovascular risk over the first 5 years after pregnancy.

BACKGROUND: The cumulative effect of postpartum weight retention from each pregnancy in a woman's life may contribute to her risk of ultimately developing type 2 diabetes and cardiovascular disease. However, there is limited direct evidence supporting this hypothesis. Thus, we sought to characterize the impact of postpartum weight retention on the trajectories of cardiovascular risk factors over the first 5-years after pregnancy. METHODS: In this prospective observational cohort study, 330 women (mean age 35.7 ± 4.3 years, mean pre-pregnancy body mass index 25.2 ± 4.8 kg/m2, 50.9% primiparous) underwent serial cardiometabolic characterization (anthropometry, blood pressure, lipids, oral glucose tolerance test, insulin sensitivity/resistance (Matsuda index, HOMA-IR), C-reactive protein (CRP), adiponectin) at 1-year, 3-years, and 5-years postpartum. Based on the magnitude of weight change between pre-pregnancy and 5-years postpartum, they were stratified into the following 3 groups: weight loss (n = 100), weight gain 0-6% (n = 110), and weight gain ≥ 6% (n = 120). RESULTS: At 1-year postpartum, cardiovascular risk factors did not differ between the groups. However, an adverse risk factor profile progressively emerged in the weight retention groups at 3- and 5-years. Indeed, after covariate adjustment, there was stepwise worsening (from the weight loss group to weight gain 0-6% to weight gain ≥ 6% group) of the following cardiovascular risk factors at 5-years: triglycerides (p = 0.001), HDL (p = 0.02), LDL (p = 0.01), apolipoprotein-B (p = 0.003), Matsuda index (p < 0.0001), HOMA-IR (p < 0.0001), fasting glucose (p = 0.07), and CRP (p = 0.01). Moreover, on logistic regression analyses, weight gain ≥ 6% emerged as an independent predictor of pre-diabetes/diabetes at 5-years (adjusted OR = 3.40, 95%CI: 1.63-7.09). CONCLUSION: Postpartum weight retention predicts trajectories of worsening cardiovascular risk factors and glucose intolerance over the first 5-years after delivery, consistent with its postulated contribution to future vascular disease in women.

Factors associated with perineal pain on the first postnatal day after vaginal delivery: a cross-sectional study of primiparous women.

Many women report postpartum perineal pain due to perineal trauma after vaginal delivery. Perineal pain after giving birth declines over time; however, perineal trauma and pain negatively impact on the women's quality of life and their ability to care for their children. The degree of perineal trauma and instrument delivery with episiotomy are associated with perineal pain. Nevertheless, no studies have examined factors related to postpartum perineal pain, including weight changes during pregnancy as well as the course of delivery so far. We aimed to elucidate obstetric factors associated with perineal pain after vaginal delivery on the first postnatal day in Japanese primiparous women. A cross-sectional study conducted in five maternity hospitals in Japan included 142 primiparous women who vaginally delivered full-term and singleton infants. Perineal pain on the first postnatal day was evaluated using a visual analog scale. The final analysis included 92 participants with a mean age of 30.3 ± 4.6 years. The median visual analog scale score was 54.0 mm. Multiple linear regression analysis demonstrated that gestational weight gain above the recommended Japanese range was positively and significantly associated with perineal pain on the first postnatal day, independent of maternal age, episiotomy, painkiller use, and neonatal birth weight. This finding may provide additional evidence regarding gestational weight gain within the recommended range based on the pre-pregnancy body mass index to reduce perineal pain on the first postnatal day.

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.

Optimal gestational weight gain in Taiwan: A retrospective cohort study.

OBJECTIVE: Maternal body mass index (BMI) and gestational weight gain (GWG) are believed to be associated with fetal conditions and maternal complications. The aim of this study was investigating the influence of maternal prepregnancy BMI and GWG on pregnancy outcomes and exploring the optimal GWG in Taiwanese singleton women. MATERIALS AND METHODS: Retrospective records of 8146 singleton pregnant women between 2017 and 2019, obtained from a tertiary center in Taiwan were reviewed, and the associations between maternal prepregnancy BMI, GWG, and perinatal outcomes were analyzed. The patients were divided into five groups based on prepregnancy BMIs, defined by Taiwan Health Promotion Administration, as underweight (BMI <18.5 kg/m2), normal-weight (18.5 ≤ BMI <24 kg/m2), overweight (24.0 ≤ BMI <27.0 kg/m2), mild obese (27.0 ≤ BMI <30 kg/m2) and moderate-to-severe obese (BMI ≥30.0 kg/m2), and the lowest risks of different complications were summarized in each group. Also, using the Institute of Medicine and Japanese guidelines as reference, the Taiwanese recommendations for GWG were revised. RESULTS: The rate of cesarean section, hypertensive disorder, preeclampsia, preeclampsia with severe features, and preterm birth were higher in prepregnancy overweight and obese women than in normal-weight women (p < 0.05). In the Taiwanese population, the recommended GWG for underweight pregnant women is 11-15 kg, for normal-weight pregnant women, it is 9.4-13.5 kg, for overweight pregnant women, it is 7.9-11.4 kg, for mild obese pregnant women, it is 7.3-10 kg, and for moderate-to-severe obese pregnant women, it is 4.9-9 kg with lowest perinatal complications. CONCLUSIONS: Unsatisfactory controlled prepregnancy weight (BMI ≥24) and inappropriate body weight gain during pregnancy can increase the risk of adverse pregnancy complications. Taiwanese GWG guidelines should be revised based on the characteristics and clinical data of the local population.

Exploring the relationships between pre-pregnancy BMI, gestational weight gain, and nutritional intake: a real-world investigation in Shandong, China.

This study investigated the associations between gestational weight gain (GWG), pre-pregnancy body mass index (BMI), and prenatal diet quality in pregnant women from Shandong, China. We analyzed a sample of 532 early-stage pregnant women registered at an outpatient clinic. Diet quality was evaluated using the Chinese Healthy Dietary Index for Pregnancy (CHDI-P), encompassing three dimensions: diversity, adequacy, and limitation, with an overall score out of 100. Dietary intake was documented via 24-h dietary recalls spanning three consecutive days and subsequently translated to a CHDI-P score. At the time of enrollment, BMI was measured on-site and classified as underweight (<18.5), normal weight (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0). Pregnant women were also categorized into inadequate, adequate, and excessive weight gain groups based on their GWG. We employed a Tukey-adjusted generalized linear model to compare the CHDI-P scores between the pre-pregnancy BMI groups and GWG groups. The results revealed that the underweight group had significantly higher total scores and limitation total scores on the CHDI-P (p < 0.001). Conversely, the overweight and obese groups were more susceptible to suboptimal dietary quality. Notably, the inadequate weight gain group displayed significantly elevated food adequacy scores compared to the other two groups (p < 0.05). This indicates that greater GWGs do not necessarily align with principles of adequate nutrition.

Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics.

BACKGROUND: Gestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG. METHODS: We developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories. RESULTS: The cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester. CONCLUSIONS: The PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Is postpartum depression related to total weight gain during pregnancy and maternal anemia?

OBJECTIVE: This study aimed to investigate the effects of weight gain and maternal anemia on postpartum depression. METHODS: This is a prospective, single-center, case-control study. We recorded the demographic characteristics, blood ferritin level, and weight gain during the pregnancy. This study was planned between April 2023 and June 2023 in the Obstetrics and Gynecology Clinic of Ankara Etlik City Hospital. A total of 109 patients were enrolled in the study. Patients were assessed with the Edinburgh Postpartum Depression Scale. Weight gain, nutritional education, educational level, mode of delivery, and pregnancy history were asked in person. Ferritin levels at the onset of labor were determined to detect anemia. Twin births, births due to fetal anomalies or intrauterine stillbirths, patients with systemic infections, and patients diagnosed with a psychiatric disorder in the past 6 months whose records were not accessible were excluded from the study. RESULTS: Pregnancy weight gain and percentage of pregnancy weight gain were higher. Serum ferritin levels and nutritional education during pregnancy were lower in the postpartum depression group (p<0.001). These parameters with statistical significance were identified as risk factors in the regression analysis for postpartum depression (p<0.05). In receiver operating characteristics analysis, >15 kg for weight gain, >28.8 for percentage of weight gain in pregnancy, and <19 ng/dL for serum ferritin level were identified as cutoff values (p<0.001). CONCLUSION: Nutritional education and vitamin supplementation should be recommended to pregnant women during routine examinations.

Effect of nutrition counseling on nutritional status and gestational weight gain of pregnant adolescents in West Arsi, Central Ethiopia: a cluster randomized controlled trial.

When pregnancy occurs in adolescence, the growth and development of the mother and fetus may be impaired due to strong competition for nutrients between the still-growing adolescent and the fetus. Pregnant adolescents constitute an underserved population; they lack adequate nutritional knowledge. Therefore, this study investigated the effect of nutritional behavior change communication (NBCC) through alliance for development (AFD) on the nutritional status and gestational weight gain (GWG) of pregnant adolescents. A two-arm parallel cluster randomized controlled community trial was conducted in the West Arsi Zone, central Ethiopia, from August 2022 to July 2023. The nutritional status of the pregnant adolescent was assessed using mid-upper arm circumference. Weight was measured at baseline and at the end of the intervention. A total of 207 and 219 pregnant adolescents participated in the intervention and control clusters, respectively. The intervention started before 16 weeks of gestation, and the intervention group attended four NBCC sessions. The NBCC was based on the health belief model (HBM) and was given at the participants' homes with their husbands. The NBCC intervention was delivered by AFDs and community-level health actors. Pregnant adolescents in the control group received routine nutrition education from the health care system. A linear mixed-effects model and difference in difference (DID) were used to measure the intervention effect after adjusting for potential confounders. After the implementation of the trial, the mean mid-upper arm circumference (MUAC) in the intervention arm significantly increased from baseline (p ≤ 0.001), 23.19 ± 2.1 to 25.06 ± 2.9 among intervention group and 23.49 ± 2.1 to 23.56 ± 2.0 among control group and the mean difference in the MUAC (DID) was 1.89 ± 2 cm (p ≤ 0.001); the mean GWG in the intervention arm significantly increased from baseline; 51.54 ± 4.7 to 60.98 ± 4.6 among intervention group and 52.86 ± 5.27 to 58 ± 5.3 among control group; the mean GWG in the intervention group was 9.4 kg, and that in the control group was 5.14 kg, and the difference in difference was 4.23 kg and this was statically significant p ≤ 0.001). This study demonstrated that the use of the HBM for NBCC delivered through the AFD was effective at improving the nutritional status and GWG of pregnant adolescents. These results imply the need for the design of model-based nutritional counseling guidelines.Clinical trial registration: PACTR202203696996305, Pan African Clinical Trials Registry, date of first registration: 16/03/2022.