Validity of prepregnancy weight status estimated from self-reported height and weight

Prenatal loss of control eating is associated with psychiatric symptoms and distress among individuals with elevated BMI

PURPOSE

Loss of control while eating (LOC) or feeling unable to control the amount or type of food consumed during an eating episode, is the core psychopathology in binge eating disorders. Yet, the impact of LOC on other psychiatric symptoms during pregnancy is not known. This study evaluated the contribution of prenatal LOC to psychological distress and disordered eating attitudes.

METHODS

Pregnant individuals with BMI ≥ 25 (N = 312) recruited for a perinatal health promotion trial self-reported past-month LOC; eating, shape, and weight concerns; prenatal depressive symptoms, anxiety, and stress. Propensity scores were used to reduce bias associated with cross-sectional data.

RESULTS

Overall, 34.3% (n = 107) reported LOC. Individuals with prenatal LOC, relative to those without, endorsed more eating disorder symptoms (ps<.001) as well as more symptoms of depression (7.1± 0.3 vs. 5.4± 4.9) and anxiety (38.1 ± 11.7 vs. 33.4 ± 11.7) and greater perceived stress (25.0 ± 7.9 vs. 22.0± 9.9, ps<.001). LOC frequency was associated with significantly more prenatal psychological distress, beyond the effect of other factors that increase the likelihood of LOC. (ps<.005).

CONCLUSIONS

Among individuals with elevated BMI, prenatal LOC is common and relates to eating disorder and other psychiatric symptoms. Prenatal LOC may represent a behavioral mechanism for improved psychological health.

Association of pre-pregnancy body mass index and gestational weight gain with continued breastfeeding until 6 months postpartum in Japanese women: the Japan Environment and Children's Study

BACKGROUND

The relationship of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) with continued breastfeeding (BF) in Japanese women remains unclear. To evaluate different maternal pre-pregnancy BMI and GWG categories according to the initial BMI, we conducted an analysis of continued BF until 6 months postpartum in a large Japanese cohort.

METHODS

This study used data from the Japan Environment and Children's Study, which included approximately 100,000 pregnant women. Pre-pregnancy BMI (kg/m2) was categorized as underweight (BMI < 18.5), normal weight (BMI 18.5-24.9), and overweight (BMI 25.0-29.9). GWG was categorized as insufficient, optimal, and excessive based on the 2021 criteria from the Japanese Society of Obstetrics and Gynecology. Continued BF for the first 6 months postpartum was categorized into 3 patterns: exclusive BF (EBF), non-EBF type-I (6 months of BF with formula), and non-EBF type-II (< 6 months of BF). Logistic regression analysis was conducted to evaluate the association of pre-pregnancy BMI and GWG with continued BF. Normal BMI and optimal GWG and EBF were used as reference values while controlling for covariates.

RESULTS

Of 82,129 women with singleton pregnancies, BMI was categorized as underweight in 16.6%, normal weight in 75.3%, and overweight in 8.1%. The rate of EBF in these groups was 37.1% for underweight, 37.2% for normal weight, and 26.8% for overweight. In underweight women, both insufficient and excessive GWG were associated with higher rates of non-EBF type-II. In normal-weight women, insufficient and excessive GWG were associated with higher rates of non-EBF type-II. Overweight women showed higher rates of non-EBF type-I and type-II, irrespective of GWG.

CONCLUSIONS

Our results indicate that the effects of GWG on continued BF were associated with pre-pregnancy BMI. Adequate GWG should be recommended to underweight and normal-weight women to promote BF. Efforts toward the prevention of overweight prior to pregnancy should be encouraged to enhance BF.

Association of Prepregnancy Body Mass Index with Gut Microbiota Diversity and Abundance in Pregnant Women

BACKGROUND

Understanding the link between prepregnancy nutritional status and gut microbiota during pregnancy may lead to novel maternal and child health interventions. We explored the association of prepregnancy body mass index (BMI) status with gut microbiota diversity and abundance during pregnancy.

METHODS

A cross-sectional study was conducted on 90 pregnant women from primary health centers in Jakarta, Indonesia. Trained staff interviewed women on sociodemographic characteristics and nutrient intake, gathered data on prepregnancy BMI from antenatal records, and obtained fecal samples. Samples were analyzed for microbiota diversity indices [Shannon, Faith phylogenetic diversity (Faith PD), and Chao1] and abundance using 16S ribosome ribonucleic acid sequencing. Multivariate logistic regression was performed although adjusting for carbohydrate and protein intake, ethnicity, and education to determine the relationship between prepregnancy BMI and the alpha diversity index and the presence of the phylum Firmicutes and genera Prevotella and Blautia.

RESULTS

Pregnant women who were overweight or obese (BMI ≥23.0 kg/m2) before pregnancy had significantly lower odds of having gut microbiota diversity above the median of Shannon index [adjusted odds ratio (aOR): 0.4, 95% confidence interval (CI): 0.1, 0.9, P = 0.042], Faith PD (aOR: 0.2, 95% CI: 0.1, 0.8, P = 0.015), and Chao1 (aOR: 0.3, 95% CI: 0.1, 0.7, P = 0.006) compared with those who were neither overweight nor obese. Prepregnant women with overweight or obesity also had significantly lower odds of having levels above the median of the phylum Firmicutes (aOR: 0.38, 95% CI: 0.15, 0.98, P = 0.045) and genus Blautia (aOR: 0.32, 95% CI: 0.12, 0.85, P = 0.022) compared with women without overweight and obesity.

CONCLUSIONS

Prepregnancy overweight or obese status was associated with lower gut microbiota diversity and lower abundance of Firmicutes and Blautia among pregnant women in an urban community. These findings suggest that prepregnancy interventions to control BMI may improve gut flora and potentially benefit pregnant women.

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.

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

BACKGROUND

Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are determinants of maternal and child health. However, many studies of these factors rely on error-prone self-reported measures.

METHODS

Using data from Life-course Experiences And Pregnancy (LEAP), a US-based cohort, we assessed the validity of prepregnancy BMI and GWG recalled on average 8 years postpartum against medical record data treated as alloyed gold standard ("true") values. We calculated probabilities of being classified into a self-reported prepregnancy BMI or GWG category conditional on one's true category (analogous to sensitivities and specificities) and probabilities of truly being in each prepregnancy BMI or GWG category conditional on one's self-reported category (analogous to positive and negative predictive values).

RESULTS

There was a tendency toward under-reporting prepregnancy BMI. Self-report misclassified 32% (95% confidence interval [CI] = 19%, 48%) of those in LEAP with truly overweight and 13% (5%, 27%) with obesity into a lower BMI category. Self-report correctly predicted the truth for 72% (55%, 84%) with self-reported overweight to 100% (90%, 100%) with self-reported obesity. For GWG, both under- and over-reporting were common; self-report misclassified 32% (15%, 55%) with truly low GWG as having moderate GWG and 50% (28%, 72%) with truly high GWG as moderate or low GWG. Self-report correctly predicted the truth for 45% (25%, 67%) with self-reported high GWG to 85% (76%, 91%) with self-reported moderate GWG. Misclassification of BMI and GWG varied across maternal characteristics.

CONCLUSION

Findings can be used in quantitative bias analyses to estimate bias-adjusted associations with prepregnancy BMI and GWG.

Maternal Body Mass Index Associates with Prenatal Characteristics and Fecal Microbial Communities

The maternal microbiome plays a vital role in shaping pregnancy outcomes, but there remains a substantial gap in understanding its precise relationships to maternal health, particularly in relation to potential effects of body mass index (BMI) on gut microbial diversity. The aim of this observational study was to assess maternal characteristics in association with pre-pregnancy BMI and to further assess microbial diversity in association with specific maternal characteristics. Eighty-four pregnant women were recruited during their third trimester of pregnancy from various prenatal clinics across the state of Michigan. The participants completed an enrollment questionnaire including self-reported pre-pregnancy BMI; stool samples were collected to assess the fecal microbial community composition. Pre-pregnancy obesity (BMI 30+) was associated (univariably) with antibiotic use before pregnancy, ever smoked, lower education level, and being unmarried. The gut microbiota alpha diversity was significantly different for pregnant women by pre-pregnancy BMI category (normal, overweight, obese). The beta diversity was unique for the gut microbiotas of pregnant women within each BMI category, by education level, and by marital status. Multivariable models revealed that pre-pregnancy BMI, maternal education, marital status, and maternal age were associated with the microbial diversity of the gut microbiota during pregnancy. These results give new insight into the relationship between a woman's microbiome during pregnancy and their prenatal health, along with an understanding of the relationships between socioeconomic factors and microbial diversity.

The Association of Periconception Asthma Medication Discontinuation with Adverse Obstetric Outcomes

OBJECTIVE

This study aimed to investigate asthma medication reduction in the periconceptional period as it relates to asthma status and adverse outcomes in pregnancy.

STUDY DESIGN

In a prospective cohort study, self-reported current and past asthma medications were collected and analyzes compared measures of asthma status in women who discontinued asthma medication in the 6 months prior to enrollment ("step-down") versus those who did not ("no change"). Evaluation of asthma was done at three study visits (one per trimester) and by daily diaries, including measures of lung function (percent predicted forced expiratory volume in 1 and 6 s [%FEV1, %FEV6], peak expiratory flow [%PEF], forced vital capacity [%FVC], FEV1 to FVC ratio [FEV1/FVC]), lung inflammation (fractional exhaled nitric oxide [FeNO], ppb), rate of asthma symptoms (activity limitation, night symptoms, rescue inhaler use, wheeze, shortness of breath, cough, chest tightness, chest pain), and rate of asthma exacerbations. Adverse pregnancy outcomes were also evaluated. Adjusted regression analyses examined whether adverse outcomes differed by periconceptional asthma medication changes.

RESULTS

Of 279 participants included in analyses, 135 (48.4%) did not change asthma medication in the periconceptional period, whereas 144 (51.6%) reported a step down in medication. Those in the step-down group were more likely to have milder disease (88 [61.1%] in the step-down vs. 74 [54.8%] in the no change group), exhibited less activity limitation (rate ratio [RR]: 0.68, 95% confidence interval [CI]: 0.47-0.98), and experienced fewer asthma attacks (RR: 0.53, 95% CI: 0.34-0.84) during pregnancy. The step-down group had a nonsignificant increase in overall odds of experiencing an adverse pregnancy outcome (odds ratio: 1.62, 95% CI: 0.97-2.72).

CONCLUSION

Over half of women with asthma reduce asthma medication in the periconceptional period. Although these women typically have milder disease, a step down in medication may be associated with an increased risk of adverse pregnancy outcomes.

KEY POINTS

· Many women reduce their asthma medication in pregnancy.. · Reduction is more common among those with mild disease.. · Medication reduction may lead to adverse pregnancy outcomes..

Pre-pregnancy maternal obesity and infant neurodevelopmental outcomes in Latino infants

OBJECTIVE

This study explores the impact of maternal pre-pregnancy BMI on infant neurodevelopment at 24 months in low-income Latino families. It also investigates whether infant diet mediates this relationship.

METHODS

Latino mother-infant pairs (n = 163) were enrolled at 1 month post partum and were followed for 2 years, with assessments at 6-month intervals. Maternal pre-pregnancy anthropometrics were self-reported at baseline, and child neurodevelopment was assessed at 24 months using the Bayley Scales of Infant Development. Diet quality of infants was measured using the Healthy Eating Index (HEI)-2015 and HEI-Toddlers-2020 scores at multiple time points. Mediation and regression models that adjust for maternal factors were used to examine the associations.

RESULTS

Pre-pregnancy BMI showed significant negative associations with child cognitive scores (β = -0.1, 95% CI: -0.2 to -0.06, p < 0.001) and language scores (β = -0.1, 95% CI: -0.2 to -0.03, p = 0.01) at 24 months. Infant HEI-2015 scores at 24 months partly mediated these associations, explaining 23% and 30% of the total effect on cognitive and language subscales, respectively. No specific dietary components in infants mediated the relationship, except for the total HEI-2015 score.

CONCLUSIONS

Managing maternal obesity pre-pregnancy is crucial for improving infant neurodevelopmental outcomes, especially in low-income Latino families. Promoting healthy weight and enhancing infant diet quality can enhance neurodevelopment in these populations.

The Population-Attributable Fractions of Small-for-Gestational-Age Births: Results from the Japan Birth Cohort Consortium

A fetal growth restriction is related to adverse child outcomes. We investigated risk ratios and population-attributable fractions (PAF) of small-for-gestational-age (SGA) infants in the Japanese population. Among 28,838 infants from five ongoing prospective birth cohort studies under the Japan Birth Cohort Consortium, two-stage individual-participant data meta-analyses were conducted to calculate risk ratios and PAFs for SGA in advanced maternal age, pre-pregnancy underweight, and smoking and alcohol consumption during pregnancy. Risk ratio was calculated using modified Poisson analyses with robust variance and PAF was calculated in each cohort, following common analyses protocols. Then, results from each cohort study were combined by meta-analyses using random-effects models to obtain the overall estimate for the Japanese population. In this meta-analysis, an increased risk (risk ratio, [95% confidence interval of SGA]) was significantly associated with pre-pregnancy underweight (1.72 [1.42-2.09]), gestational weight gain (1.95 [1.61-2.38]), and continued smoking during pregnancy (1.59 [1.01-2.50]). PAF of underweight, inadequate gestational weight gain, and continued smoking during pregnancy was 10.0% [4.6-15.1%], 31.4% [22.1-39.6%], and 3.2% [-4.8-10.5%], respectively. In conclusion, maternal weight status was a major contributor to SGA births in Japan. Improving maternal weight status should be prioritized to prevent fetal growth restriction.

Maternal Pre-Pregnancy BMI and Gestational Weight Gain Are Associated with Preschool Children's Neuropsychological Outcomes in the APrON Cohort

This study examined the associations between maternal pre-pregnancy BMI and gestational weight gain (GWG) and children's neuropsychological outcomes at 3 to 5 years of age. A total of 379 women and their children from the Alberta Pregnancy Outcomes and Nutrition (APrON) study participated. Covariate-adjusted robust regressions examined associations between maternal pre-pregnancy BMI, GWG class, interaction terms, and child outcomes. Each unit increase in maternal BMI was linked to a 0.48-point decrement (95% CI: -0.75 to -0.21) in children's Full Scale IQ. Higher pre-pregnancy BMI was related to poorer performance on the other intelligence indexes (B = -0.35 to -0.47, 95% CIs: -0.75, -0.02) and lower performance on measures of language (B = -0.08 to -0.09, 95% CIs: -0.16, -0.02), motor skills (B = -0.08 to -0.11, 95% CIs: -0.18, -0.01), and executive function (B = -0.09 to -0.16, 95% CIs: -0.26, -0.01). GWG below the recommended range was associated with a 4.04-point decrement (95% CI: 7.89, -0.11) in Full Scale IQ, but better performance on a spatial working memory test (B = 0.27, 95% CI: 0.02, 0.52). GWG above the recommended range was associated with lower language (B = -0.79, 95% CI: -1.52, -0.06) and memory scores (B = -0.93, 95% CI: -1.64, -0.22). Interactions were found between pre-pregnancy BMI and GWG on measures of intelligence and executive function. Maternal pre-pregnancy BMI and GWG are related to children's performance in various neuropsychological domains and may interact to predict outcomes. Optimizing maternal health and weight prior to conception and during pregnancy may enhance children's neuropsychological outcomes.

The STAR-MAMA RCT: Bilingual Mobile Health Coaching for Postpartum Weight Loss

INTRODUCTION

Gestational diabetes and overweight during pregnancy are associated with future type 2 diabetes. Postpartum weight loss can reduce diabetes risk. However, effective interventions for postpartum weight loss are lacking, in particular for Latina populations, despite their disproportionate burdens of gestational diabetes, overweight, and diabetes.

STUDY DESIGN

This was a community-based RCT.

SETTING/PARTICIPANTS

Researchers recruited pregnant individuals with gestational diabetes or BMI>25 kg/m2 from safety-net health care settings and Women, Infants, and Children offices in Northern California in 2014-2018. Of 180 individuals randomized to intervention (n=89) or control (n=91), 78% identified as Latina, 61% were primarily Spanish speaking, and 76% perceived their diabetes risk to be low.

INTERVENTION

The intervention consisted of a 5-month postpartum telephone-based health coaching intervention delivered in English or Spanish.

MAIN OUTCOME MEASURES

Data were collected through surveys at enrollment and 9-12 months after delivery and chart review up to 12 months after delivery. The primary outcome, weight change from prepregnancy to 9-12 months after delivery, was compared between the groups, overall and within strata defined a priori according to language (Spanish or English) and diabetes risk perception (none/slight or moderate/high).

RESULTS

The intent-to-treat estimated intervention effect was +0.7 kg (95% CI= -2.4 kg, +3.8 kg; p=0.67). In stratified analyses, intervention effects remained nonsignificant but varied in direction: effects were favorable among English speakers and those with higher perceived diabetes risk, and unfavorable among Spanish speakers and those with lower perceived risk. Analyses were conducted in 2021-2022.

CONCLUSIONS

A postpartum health coaching intervention, designed for low-income Latina women at increased risk for diabetes, did not reduce postpartum weight gain. Intervention effects were nonsignificantly more favorable among English speakers versus Spanish speakers, and among those who perceived their diabetes risk to be high versus low.

TRIAL REGISTRATION

This study is registered at www.

CLINICALTRIALS

gov NCT02240420.

Association between pre-pregnancy weight status and dietary patterns during pregnancy: results from the Japan Environment and Children's Study

OBJECTIVE

Pre-pregnancy weight status is related to offspring health and may influence dietary patterns during pregnancy. We aimed to evaluate the link between pre-pregnancy weight status and dietary patterns during pregnancy.

DESIGN

Dietary data were collected using a FFQ during middle or late pregnancy. Dietary patterns were identified using principal component analysis. Anthropometric data were extracted from medical charts. Multiple linear regression was used to assess associations between pre-pregnancy weight status (severely or moderately underweight, mildly underweight, normal weight, overweight and obese) and dietary patterns during pregnancy after adjusting for socio-demographic characteristics.

SETTING

Nationwide Japan.

PARTICIPANTS

Pregnant Japanese women enrolled in the Japan Environment and Children's Study, a prospective birth cohort study (n 90 765).

RESULTS

We identified three dietary patterns. Compared with women with pre-pregnancy normal weight, those with pre-pregnancy obesity were less likely to habitually consume 'fruits and vegetables' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and 'confectionery' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and more likely to consume 'white rice and soy products' pattern (coefficient, 0·08; 95 % CI, 0·04, 0·11), and those with severely or moderately pre-pregnancy underweight were more likely to consume 'confectionery' pattern (coefficient, 0·06; 95 % CI, 0·03, 0·09) during pregnancy, after adjusting for confounders.

CONCLUSION

We found that moderately and severely pre-pregnancy underweight women and those with obesity had unhealthy dietary patterns compared to those with pre-pregnancy normal weight. Our findings suggest that prenatal dietary advice is important and should be based on the pre-pregnancy weight status.

Loss of control eating during pregnancy is associated with excessive gestational weight gain among individuals with overweight and obesity

BACKGROUND

Excessive gestational weight gain (GWG) predicts negative health outcomes among individuals with overweight or obesity. Loss of control eating (LOC), the ingestion of food associated with being unable to control eating, is the core psychopathology of binge eating disorders. We evaluated the contribution of LOC to GWG among pregnant individuals with prepregnancy overweight/obesity.

METHODS

In a prospective longitudinal study, individuals with prepregnancy BMI ≥ 25 (N = 257) were interviewed monthly to assess LOC and reported demographic, parity, and smoking information. GWG was abstracted from medical records.

RESULTS

Among individuals with prepregnancy overweight/obesity, 39% endorsed LOC prior to or during pregnancy. After adjusting for factors that have previously been linked to GWG, LOC during pregnancy, uniquely predicted higher GWG and greater likelihood of exceeding GWG recommendations. Participants with prenatal LOC gained 3.14 kg (p = 0.03) more than did those without LOC during pregnancy and 78.7% (n = 48/61) exceeded IOM guidelines for GWG. The frequency of LOC episodes was also associated with greater weight gain.

CONCLUSIONS

Prenatal LOC is common among pregnant individuals with overweight/obesity and predicts greater GWG and increased likelihood of exceeding IOM GWG guidelines. LOC may represent a modifiable behavioral mechanism to prevent excessive GWG among individuals at risk for adverse pregnancy outcomes.

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

OBJECTIVE

Body dissatisfaction in pregnancy has been associated with negative psychological maternal outcomes, including increased risk of postpartum depression. This study aimed to explore weight-related factors that influence body dissatisfaction in pregnancy, including gestational weight gain (GWG), weight stigma, obesity, and weight loss attempts before pregnancy.

DESIGN

Secondary analysis of a larger cross-sectional study.

SETTING

Online survey administered via Qualtrics.

PARTICIPANTS

≥12 weeks pregnant, ≥18 years of age, having a singleton pregnancy and residing in Canada.

MEASUREMENTS AND FINDINGS

A battery of questionnaires were completed, including the Body Image in Pregnancy Scale (BIPS) sub-scale. The BIPS scores were compared based on experiences of weight stigma in pregnancy, perception towards their GWG, weight loss attempts before pregnancy, obesity, and GWG category classified as excessive or not referring to Institute of Medicine (2009) guidelines. Significant differences were entered into a linear regression model with BIPS scores as the dependent variable. Significance was accepted as p<0.05. A total of 182 participants completed the survey. There were no differences in BIPS scores based on GWG category (p = 0.160), or obesity (p = 0.230). Poorer BIPS scores were reported by those who felt they had gained 'too much' pregnancy weight than 'appropriate' (p<0.001), and among those who were trying to lose weight before pregnancy compared to those who were not (p = 0.002). Poorer BIPS scores were also reported by individuals who indicated they had experienced weight stigma during pregnancy compared to those who had not (p<0.001). Regression results showed that significant variables were perceptions towards GWG (p = 0.003) and experiencing weight stigma in pregnancy (p = 0.011).

KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

Perceptions towards GWG and experiencing weight stigma can influence body dissatisfaction in pregnancy. Given the detrimental physical and psychological consequences of body dissatisfaction, effective strategies to reduce prenatal weight stigma are needed, such as training maternal healthcare providers to offer sensitive preconception and prenatal weight counselling.

The correlation between blood-lipid ratio in the first trimester and large-for-gestational-age infants

BACKGROUND

To investigate the correlation between maternal glucose and lipid metabolism indexes and blood-lipid ratio in the first trimester and large-for- gestational-age (LGA) infants.

METHODS

Women in the first trimester of pregnancy who underwent regular obstetric examination in the obstetric outpatient department of the Affiliated Hospital of Chengde Medical College from June 2018 to March 2019 were included according to the standard. Basic information were collected based on questionnaires at the first visit of pregnant women, including early fasting blood glucose (FBG), fasting insulin (FINS), glycated hemoglobin (HbA1c), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglyceride (TG), total cholesterol (TC), apolipoprotein A1 (APO-A1), apolipoprotein B (APO-B), lipoprotein a (LP(a)), LDL/HDL, TG/HDL, TC/HDL, APO-B/APO-A1 ratio, birth weight of newborns, gestational age at delivery etc. RESULTS: A total of 418 cases were included for analysis. The incidence rate of LGA infants was 13.88%, and that of small-for-gestational-age (SGA) infants was 4.78%. Univariate analysis revealed that the age, pre-pregnancy body mass index (BMI), weight gain during pregnancy, APO-B/APO-A1 between LGA group and appropriate-for-gestational-age (AGA) group were significantly different (P < 0.05); multivariate stepwise logistic regression analysis indicated that the correlation between maternal age, pre-pregnancy BMI, weight gain during pregnancy, APO-B/APO-A1 level and LGA were statistically significant (P < 0.05); compared with the reference range of APO-B/APO-A1 of 0.46-0.65, values < 0.46 and > 0.65 were protective factor of LGA (P < 0.05). The receiver operating curve(ROC) indicated that the area under the curve (AUC)s for predicting LGA using maternal age, pre-pregnancy BMI, weight gain during pregnancy, and early pregnancy APO-B/APO-A1 were 0.585, 0.606, 0.637, 0.531, respectively. The AUC for a combined prediction model was 0.742, showing greater predictive value than any other factors individually.

CONCLUSION

Maternal age, pre-pregnancy BMI, weight gain during pregnancy, and APO-B/APO-A1 levels in first trimester are significant factors influencing the occurrence of LGA infants, and the combination of the four factors would have certain predictive value for LGA.

Monitoring gestational weight gain: setting up a regional surveillance system in Italy

BACKGROUND

In many countries, including Italy, there are few national data on pre-pregnancy Body Mass Index (BMI) and gestational weight gain (GWG), despite these being important predictors of maternal and neonatal health outcomes. This dearth of information makes it difficult to develop and monitor intervention policies to reduce the burden of disease linked to inadequate BMI status and/or GWG in pregnant women. This study describes the setting up and initial implementation of a regional surveillance system on pre-pregnancy BMI and GWG.

METHODS

Between 1 January 2017 and 31 December 2018, anthropometric data were collected from all pregnant women accessing public health services in the Friuli Venezia Giulia region (Italy) for first ultrasound check (T1) and at delivery (T2). Anthropometric data collected at T1 (self-reported pre-pregnancy weight and measured weight and height) and T2 (measured weight and self-reported pre-pregnancy weight and height) were compared.

RESULTS

The system was able to reach 43.8% of all the women who gave birth in the region, and provided complete data for 6400 women of the 7188 who accessed the services at T1. At the beginning of pregnancy 447 (7.0%) women were underweight, 4297 (67.1%) had normal weight, 1131 (17.7%) were overweight and 525 (8.2%) had obesity. At delivery, 2306 (36.0%) women were within the appropriate weight gain range, while for 2021 (31.6%) weight gain was insufficient and for 2073 (32.4%) excessive. Only minor differences were observed between measured and self-reported anthropometric data.

CONCLUSIONS

The surveillance system offers an overview of the weight status of women during pregnancy. About 1/3 of women entered pregnancy with unsatisfactory BMI and 2/3 did not achieve the recommended weight gain. This surveillance system can be an effective tool to guide public health interventions.

Maternal Pre-Pregnancy BMI and Gestational Weight Gain Modified the Association between Prenatal Depressive Symptoms and Toddler's Emotional and Behavioral Problems: A Prospective Cohort Study

Background: Maternal prenatal depressive symptoms and abnormal pre-pregnancy BMI have been scarcely reported to play interactive effects on child health. In this prospective cohort, we aimed to examine the interactive effects of maternal prenatal depressive symptoms and pre-pregnancy BMI as well as gestational weight gain (GWG) on offspring emotional and behavioral problems (EPBs). Methods: The study samples comprised 1216 mother−child pairs from Shanghai Maternal−Child Pairs Cohort recruited from 2016 to 2018. Maternal pre-pregnancy BMI and GWG were obtained from medical records, and maternal depressive symptoms were assessed via the Center for Epidemiological Studies Depression Scale (CES-D) at 32−36 gestational weeks. The child completed the behavioral measurement via the Strengths and Difficulties Questionnaire (SDQ) at 24 months postpartum. Results: There were 12.01% and 38.65% women with prenatal depressive symptoms and sub-threshold depressive symptoms during late pregnancy. Both maternal depressive symptoms and prenatal sub-threshold depressive symptoms were associated with higher internalizing (OR = 1.69, 95% CI, 1.05−2.72; OR = 1.48, 95% CI, 1.06−2.07) and externalizing (OR = 2.06, 95% CI, 1.30−3.25; OR = 1.42, 95% CI, 1.02−1.99) problems in children. Maternal pre-pregnancy BMI and GWG modified the association between prenatal depressive symptoms and child externalizing or total difficulties problems (p < 0.10 for interaction). Among the overweight/obese pregnant women, maternal prenatal depressive symptoms were associated with a higher risk of externalizing problems (OR = 2.75, 95% CI, 1.06−7.11) in children. Among the women who gained inadequate GWG, maternal prenatal sub-threshold depressive symptoms were associated with 2.85-fold (95% CI 1.48−5.48) risks for child externalizing problems, and maternal depressive symptoms were associated with higher externalizing and total difficulties problems (OR = 4.87, 95% CI, 2.03−11.70 and OR = 2.94, 95% CI, 1.28−6.74, respectively), but these associations were not significant in the appropriate or excessive GWG group. Conclusions: Both maternal prenatal sub-threshold depressive symptoms and depressive symptoms increased the risks of child internalizing and externalizing problems at 24 months of age, while the effects on child externalizing problems were stronger among overweight/obese or inadequate GWG pregnant women. Our study highlights the importance of simultaneously controlling the weight of pregnant women before and throughout pregnancy and prompting mental health in pregnant women, which might benefit their offspring’s EBPs.

Determinants of delayed onset of lactogenesis II among women who delivered via Cesarean section at a tertiary hospital in China: a prospective cohort study

BACKGROUND

Cesarean birth is associated with a higher prevalence of delayed onset of lactogenesis II (DOLII) than vaginal birth. DOLII refers to the delayed initiation of copious milk production beyond 72 h after birth. This study aimed to determine the prevalence of, and factors associated with, DOLII among women who delivered via Cesarean section in China.

METHODS

This prospective longitudinal cohort study recruited 468 women who delivered via Cesarean section at a tertiary hospital in China from 9 October 2021 to 17 May 2022. Face-to-face interviews were conducted during their delivery hospital stay to obtain information about demographic, medical, and breastfeeding factors. We assessed the onset of lactogenesis on postpartum day four, based on the maternal perception of changes in breast fullness. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for postpartum depression. Women with DOLII were interviewed via telephone or WeChat daily for one week postpartum to determine the timing of the onset of lactogenesis II. Univariate and multivariable logistic regression analyses were used to identify the determinants of DOLII.

RESULTS

DOLII was experienced by 156 of 468 participants (33.3%). After adjusting for potential confounders, the odds of DOLII were 95% higher in primiparous women than multiparous women (adjusted odds ratio [aOR] 1.95; 95% confidence interval [CI] 1.29, 2.98), 75% higher in women with a serum albumin concentration < 35 g / L than women with normal serum albumin concentrations (aOR 1.78; 95% CI 1.09, 2.99), increased by 2.03-fold in women with an EPDS score ≥ 10 than women with an EPDS score < 10 (aOR 2.03; 95% CI 1.35, 3.07), and decreased in women with a higher number of breastfeeding sessions in the first 48 h postpartum (aOR 0.88; 95% CI 0.83, 0.93).

CONCLUSIONS

One-third of women with Cesarean section delivery experienced DOLII. DOLII was more likely in women who were primiparous, had a serum albumin concentration < 35 g / L, had a lower frequency of breastfeeding sessions, and had an EPDS score ≥ 10. Women with these risk factors who deliver via Cesarean section may need early breastfeeding support to ensure successful lactation.

Obesity and the increasing odds of cesarean delivery

BACKGROUND

Knowledge of the associations between obesity and cesarean delivery (CD) is limited by previous research that does not separate the highest BMI classes.

METHODS

We identified 25,604 pregnancies in retrospective electronic medical records at an inner-city academic hospital between 2000 and 2015. We examined the association between BMI at pre-pregnancy and delivery, as well as gestational weight gain (GWG), and rates of CD, gestational diabetes mellitus (GD), and pregnancy-induced hypertension (PIH) using logistic regression and chi-square.

RESULTS

CD increased with each increase in delivery BMI class [X² (7, N = 25,604) =151.40, p < .0001]. GD and PIH also significantly increased across each BMI class. Each increasing BMI class predicted 1.21 times greater odds of CD even after adjusting for maternal age, year of birth, GD, and PIH [OR = 1.21 (95% CI, 1.07-1.37)]. As compared with the IOM recommended GWG, less weight gain offered mitigation of CD and GD, though less than the recommended GWG for women who were obese pre-pregnancy also increased odds of preterm birth, low birth weight, and stillbirth.

CONCLUSIONS

Increasing BMI is associated with increasing rates of adverse obstetric outcomes. There exists a "dose-dependent" effect of BMI on CD and limiting GWG may be associated with mitigated risk for this outcome, but increased risk for offspring adverse birth outcomes.

Physical fitness and maternal body composition indices during pregnancy and postpartum: the GESTAFIT project

We explored the association of physical fitness (PF) during pregnancy with maternal body composition indices along pregnancy and postpartum period. The study comprised 159 pregnant women (32.9 ± 4.7 years old). Assessments were carried out at the 16th and 34th gestational weeks (g.w.) and six weeks postpartum. Cardiorespiratory fitness (CRF), muscular strength (absolute and relative values) and flexibility were measured. Body composition indices were obtained by using dual-energy X-ray absorptiometry at postpartum. The results, after adjusting for potential covariates at the 16th g.w., indicated that greater CRF was associated with lower postpartum indices total fat mass, android and gynoid fat mass (all, p < 0.05). Greater absolute upper-body muscular strength was associated with greater pre-pregnancy body mass index (BMI), gestational weight gain (GWG); and postpartum indices body weight, BMI, lean mass, fat free mass, fat mass, gynoid fat mass, T-score and Z-score bone mineral density (BMD) (all, p < 0.05). Greater upper-body flexibility was associated with lower pre-pregnancy BMI; and postpartum indices body weight, BMI, lean mass, fat free mass, fat mass, android fat mass and gynoid fat mass, and with greater GWG (all, p < 0.05). At the 34th g.w., greater CRF was additionally associated with greater postpartum T-score and Z-score BMD (both, p < 0.05). In conclusion, this study reveals that greater PF levels, especially during early pregnancy, may promote a better body composition in the postpartum period. Therefore, clinicians and health promoters should encourage women to maintain or improve PF levels from early pregnancy.

Exploring weight bias internalization in pregnancy

BACKGROUND

Recent research has shown that pregnant individuals experience weight stigma throughout gestation, including negative comments and judgement associated with gestational weight gain (GWG). Weight bias internalization (WBI) is often a result of exposure to weight stigma and is detrimental to biopsychological health outcomes. The purpose of this study was to explore WBI in pregnancy and compare scores based on maternal weight-related factors including pre-pregnancy body mass index (BMI), obesity diagnosis and excessive GWG.

METHODS

Pregnant individuals in Canada and USA completed a modified version of the Adult Weight Bias Internalization Scale. Self-reported pre-pregnancy height and weight were collected to calculate and classify pre-pregnancy BMI. Current weight was also reported to calculate GWG, which was then classified as excessive or not based on Institute of Medicine (2009) guidelines. Participants indicated if they were diagnosed with obesity by a healthcare provider. Inferential analyses were performed comparing WBI scores according to pre-pregnancy BMI, excessive GWG, and obesity diagnosis. Significance was accepted as p < 0.05 and effect sizes accompanied all analyses.

RESULT

336 pregnant individuals completed the survey, with an average WBI score of 3.9 ± 1.2. WBI was higher among those who had a pre-pregnancy BMI of obese than normal weight (p = 0.04, η2 = 0.03), diagnosed with obesity than not diagnosed (p < 0.001, Cohen's d = 1.3), and gained excessively versus not (p < 0.001, Cohen's d = 1.2).

CONCLUSIONS

Pregnant individuals who have a higher BMI, obesity and gain excessively may experience WBI. Given that weight stigma frequently occurs in pregnancy, effective person-oriented strategies are needed to mitigate stigma and prevent and care for WBI.

Maternal body composition and gestational weight gain in relation to asthma control during pregnancy

BACKGROUND

Poor asthma control is common during pregnancy and contributes to adverse pregnancy outcomes. Identification of risk factors for poor gestational asthma control is crucial.

OBJECTIVE

Examine associations of body composition and gestational weight gain with asthma control in a prospective pregnancy cohort (n = 299).

METHODS

Exposures included pre-pregnancy body mass index (BMI), first trimester skinfolds, and trimester-specific gestational weight gain. Outcomes included percent predicted forced expiratory volumes (FEV1, FEV6), forced vital capacity (FVC), peak expiratory flow (PEF), FEV1/FVC, symptoms (activity limitation, nighttime symptoms, inhaler use, and respiratory symptoms), and exacerbations (asthma attacks, medical encounters). Linear and Poisson models examined associations with lung function (β (95% confidence interval (CI)), asthma symptom burden (relative rate ratio (RR (95%CI)), and exacerbations (RR (95%CI)).

RESULTS

Women with a BMI ≥ 30 had lower percent predicted FVC across pregnancy (βThirdTrimester: -5.20 (-8.61, -1.78)) and more frequent night symptoms in the first trimester (RR: 1.66 (1.08, 2.56)). Higher first trimester skinfolds were associated with lower FEV1, FEV6, and FVC, and more frequent night symptoms and inhaler use across pregnancy. Excessive first trimester gestational weight gain was associated with more frequent activity limitation in the first trimester (RR: 3.36 (1.15, 9.80)) and inhaler use across pregnancy (RRThirdTrimester: 3.49 (1.21, 10.02)).

CONCLUSIONS

Higher adiposity and first trimester excessive gestational weight gain were associated with restrictive changes in lung function and symptomology during pregnancy.

Agreement between information recorded during antenatal care and in the MINA-Brazil study

This article aims to examine agreement of pre-pregnancy weight, pregnancy weight, height and systolic (SBP) and diastolic (DBP) blood pressure measurements recorded on antenatal record cards with the same information obtained in the MINA-Brazil longitudinal study. 428 pregnant women who participated in the MINA-Brazil study and had an antenatal card at time of childbirth were selected. Concordance analysis of the data used Lin's correlation coefficient and Bland-Altman analysis. There was moderate agreement on self-reported pre-pregnancy weight (0.935) and height (0.913) information, and substantial agreement on the pregnant women's weight in the second (0.993) and third (0.988) trimesters of pregnancy. Little agreement was found on SBP and DBP measured in the second (SBP = 0.447; DBP = 0.409) and third (SBP = 0.436; DBP = 0.332) trimesters of pregnancy. Anthropometric measurements showed strong agreement. There was weak agreement between blood pressure measurements, which may relate both to the variability and the standardisation of these measurements, suggesting the need for continued training of antenatal teams in primary health care.

Gestational weight gain rates in the first and second trimesters are associated with small for gestational age among underweight women: a prospective birth cohort study

Background

Despite the well-studied effects of gestational weight gain (GWG) on offspring health, little is known about the association of trimester-specific GWG with offspring birth weight among underweight pregnant women. This study aimed to explore the association of trimester-specific GWG rate with small for gestational age (SGA) in underweight women.

Methods

The GWG rate of underweight pregnant women (pre-pregnancy body mass index [BMI] lower than 18.5 kg/m²) of the Born in Guangzhou Cohort Study was calculated as the weight gain during a specific trimester divided by the corresponding duration of week. Total GWG was calculated as the weight difference between pre-pregnancy and delivery, and was categorized into inadequate, adequate, and excessive weight gain based on the 2009 Institute of Medicine (IOM) weight gain recommendation. The INTERGROWTH-21^st standards were used to define SGA. Logistic regression models were used to examine the associations of total GWG and trimester-specific GWG rates with SGA. Associations between trimester-specific GWG rates and SGA were also analyzed separately based on different total GWG categories (i.e. inadequate and adequate/excessive GWG).

Results

Of the 3839 participants, SGA births occurred in 397 (10.3%), and mean GWG was 14.9 kg (SD 3.9). A lower risk of SGA was observed among women with higher GWG rate (per 0.5 kg/week increase) during the first (adjusted OR [aOR] 0.74, 95%CI 0.57, 0.96) and second (adjusted OR [aOR] 0.40, 95%CI 0.30, 0.55) but not third trimester. Similar association between higher GWG rate during the second trimester and a decreased risk of SGA were observed among women with inadequate (< 12.5 kg) and adequate/excessive (≥12.5 kg) total GWG, respectively. Compared to women with adequate GWG rate, women with inadequate GWG rate during the second trimester had a significantly increased risk of SGA (aOR 1.58, 95% CI 1.14, 2.20).

Conclusions

Second-trimester GWG might be the key driver for the association between inadequate GWG and increased risk of SGA births in underweight women.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04433-4.

Rate of Gestational Weight Gain and Glucose-Insulin Metabolism Among Hispanic Pregnant Women With Overweight and Obesity

CONTEXT

Hispanic women are at elevated risk of gestational glucose intolerance and postpartum type 2 diabetes compared with non-Hispanic White women. Identification of potentially modifiable factors contributing to this trajectory of beta-cell dysfunction is warranted.

OBJECTIVE

We aimed to determine the association between rate of gestational weight gain (rGWG) and glucose-insulin metabolism in Hispanic pregnant women with overweight and obesity.

METHODS

This cross-sectional, observational study, conducted from 2018-2020 at the clinical research center at University of California, Irvine, included 33 nondiabetic Hispanic pregnant women at 28 to 30 weeks' gestation with pre-pregnancy body mass index (BMI) 25.0 to 34.9 kg/m2. Participants consumed a standardized liquid mixed meal after an overnight fast. Serial blood samples were collected at fasting and up to 2 hours postprandial. The glucose and insulin area under the curve (AUC), insulin sensitivity index (ISI) and insulin secretion sensitivity index (ISSI)-2 were computed.

RESULTS

Average rGWG (0.36 ± 0.22 kg/week) was classified as excessive in 60% of women. While rGWG was not associated with the glucose or insulin AUC or ISI, it accounted for 13.4% of the variance in ISSI-2 after controlling for covariates (maternal age, parity, and pre-pregnancy BMI); for each 1 unit increase in rGWG, ISSI-2 decreased 2.1 units (P = 0.015).

CONCLUSION

Even in the absence of gestational diabetes, rGWG was inversely associated with beta-cell function in a high-risk population of Hispanic pregnant women with overweight and obesity. Beta-cell decline is an established risk factor for transition to type 2 diabetes, and these cross-sectional findings highlight rGWG as a potentially modifiable contributor to this process.

Associations of maternal weight status with the risk of offspring atopic dermatitis and wheezing by 1 year of age

BACKGROUND

Maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) have been linked to offspring allergic disorders. However, associations observed in previous studies were inconsistent and might be confounded by unmeasured familial factors. We aimed to examine the associations of maternal weight with offspring allergic disorders by using paternal BMI as a negative control exposure.

METHODS

We included the data of 10,522 children from the Born in Guangzhou Cohort Study, 2012-2017. Data on maternal weight were obtained from questionnaires and obstetric records, and paternal weight was collected from questionnaires. Atopic dermatitis (AD) and wheezing at the age of 1 year were defined according to parent-reported physician diagnosis. Risk ratios (RRs) were estimated by log-binominal regression with mutual adjustment for maternal and paternal weight status.

RESULTS

By the age of 1 year, 16.2% and 7.9% of children were diagnosed with AD and wheezing, respectively. While maternal pre-pregnancy BMI as a continuous variable was not associated with offspring AD, infants of pre-pregnancy overweight/obese women had a higher risk of AD than those born to normal weight women; no such associations were observed for paternal BMI. Both maternal pre-pregnancy BMI and paternal BMI were positively associated with the risk of offspring wheezing. Maternal GWG was not associated with AD or wheezing.

CONCLUSIONS

Our findings suggest that maternal pre-pregnancy overweight/obesity might increase the risk of infant AD via intrauterine mechanisms, whereas the association with wheezing might be confounded by uncontrolled familial factors. These findings may be valuable in early-life prevention for offspring allergic diseases.

Association of ADIPOQ-rs2241766 and FTO-rs9939609 genetic variants with body mass index trajectory in women of reproductive age over 6 years of follow-up: the PREDI study

BACKGROUND

Interindividual variations in body mass index (BMI) can be partially explained by genetic differences. We aimed to examine the association of the ADIPOQ-rs2241766, LEP-rs7799039 and FTO-rs9939609 genetic variants with BMI trajectory in women of reproductive age over 6 years of follow-up.

METHODS

This was a prospective study that used data from 435 women of the PREDI Study conducted in Brazil. Socioeconomic, biological and anthropometric data were collected at four time points: 2012 (baseline) in the maternity hospital, and 2013-14, 2016-17 and 2018 (1^st, 2^nd and 3^rd follow-ups) at the participant's home. Genotyping was performed by PCR-RFLP. Linear mixed-effect and Poisson regression models were used to address the association of ADIPOQ, LEP and FTO genotypes with BMI and overweight/obesity status.

RESULTS

Women carrying the risk allele (TA or AA) of the FTO-rs9939609 genetic variant had a 1.16 kg/m² higher BMI over the follow-up period than those carrying the wild-type genotype (TT), even when adjusted for potential confounders (95% CI: 0.23-2.10, p = 0.015). The risk of obesity associated with the FTO-TA or AA genotype decreased over the years, demonstrating an influence of time on its trajectory (IRR = 0.99, 95% CI: 0.98-0.99, p = 0.016). There was no variation in BMI trajectories for the ADIPOQ-rs2241766, LEP-rs7799039 or FTO-rs9939609 genetic variant.

CONCLUSIONS

The results of this study suggest that monitoring women of reproductive age with ADIPOQ-rs2241766 TG/GG or FTO-rs9939609 TA/AA genotypes may be an important strategy to reduce maternal excess body weight and, consequently, the long-term public health burden of obesity.

Associations of the pre-pregnancy weight status with anaemia and the erythropoiesis-related micronutrient status

OBJECTIVE

The coexistence of underweight (UW) and overweight (OW)/obese (OB) at the population level is known to affect iron deficiency (ID) anaemia (IDA), but how the weight status affects erythropoiesis during pregnancy is less clear at a population scale. This study investigated associations between the pre-pregnancy BMI (pBMI) and erythropoiesis-related nutritional deficiencies.

DESIGN

Anthropometry, blood biochemistry and 24-h dietary recall data were collected during prenatal care visits. The weight status was defined based on the pBMI. Mild nutrition deficiency-related erythropoiesis was defined if individuals had an ID, folate depletion or a vitamin B12 deficiency.

SETTING

The Nationwide Nutrition and Health Survey in Taiwan (Pregnant NAHSIT 2017-2019).

PARTICIPANTS

We included 1456 women aged 20 to 45 years with singleton pregnancies.

RESULTS

Among these pregnant women, 9·6 % were UW, and 29·2 % were either OW (15·8 %) or OB (13·4 %). A U-shaped association between the pBMI and IDA was observed, with decreased odds (OR; 95 % CI) for OW subjects (0·6; 95 % CI (0·4, 0·9)) but increased odds for UW (1·2; 95 % CI (0·8, 2·0)) and OB subjects (1·2; 95 % CI (0·8, 1·8)). The pBMI was positively correlated with the prevalence of a mild nutritional deficiency. Compared to normal weight, OB pregnant women had 3·4-fold (3·4; 95 % CI (1·4, 8·1)) higher odds for multiple mild nutritional deficiencies, while UW individuals had lowest odds (0·3; 95 % CI (0·1, 1·2)). A dietary analysis showed negative relationships of pBMI with energy, carbohydrates, protein, Fe and folate intakes, but positive relationship with fat intakes.

CONCLUSION

The pre-pregnancy weight status can possibly serve as a good nutritional screening tool for preventing IDA during pregnancy.

Comparison between American Institute of Medicine Guidelines and Local Recommendation for Gestational Weight Gain in Taiwanese Primiparous Women

OBJECTIVES

American Institute of Medicine (IOM) recommends different ranges of gestational weight gain (GWG) based on pre-pregnancy body mass index (BMI). In Taiwan, IOM guidelines are implemented concurrently with the local recommendation for GWG (10-14 kg). This study compared between the two sets of guidelines in relation to adverse perinatal outcomes.

METHODS

We analyzed 31,653 primiparas with singletons from 2011 to 2016 annual National Breastfeeding Surveys. Logistic regressions for preterm birth, small for gestational age (SGA), large for gestational age (LGA), cesarean section and excessive postpartum weight retention (EPWR) were fitted separately for GWG categorized according to IOM and Taiwan ranges. Areas under the receiver-operator curves (AUC) and the predicted probabilities for each outcome were compared in each BMI group.

RESULTS

AUC for both guidelines ranged within 0.51-0.73. Compared to Taiwan recommendation, IOM ranges showed lower probabilities of SGA for underweight (0.11-0.15 versus 0.14-0.18), of LGA for obese (0.12-0.15 versus 0.15-0.18), of EPWR for overweight (0.19-0.30 versus 0.27-0.39), and obese (0.15-0.22 versus 0.25-0.36); and higher probabilities of EPWR for underweight (0.17-0.33 versus 0.14-0.22). CONCLUSIONS FOR PRACTICE: Discriminative performance of IOM and Taiwan recommendations was poor for the five adverse birth outcomes, and no preference for either set of recommendations could be inferred from our results. In the absence of specific GWG guidelines, health care workers may provide inconsistent information to their patients. Future research is needed to explore optimal GWG ranges that can reliably predict locally relevant perinatal outcomes for mother and child.

Archive for Research in Child Health (ARCH) and Baby Gut: Study Protocol for a Remote, Prospective, Longitudinal Pregnancy and Birth Cohort to Address Microbiota Development and Child Health

The infant gut microbiome is shaped by numerous factors such as diet and the maternal microbiota and is also associated with later atopy and obesity. The Archive for Research in Child Health and Baby Gut (ARCHBG) cohort was established in 2015 to (1) understand how the development of the infant gut microbiota is associated with atopy, obesity, and gastrointestinal disease and (2) characterize the associations of maternal pre-pregnancy BMI and infant diet with the development of the gut microbiota. Study participants for ARCHBG are convenience samples recruited through two pipelines in Lansing and Traverse City, Michigan: (1) Archive for Research in Child Health (ARCH_GUT) and (2) BABY_GUT. A total of (n = 51) mother–infant dyads have been enrolled to date. This prospective cohort study collects maternal pre-pregnancy fecal samples, maternal data, child fecal samples at four timepoints (one week, six months, 12 months, and 24 months), and child data up to five years of age. All samples and data are collected remotely by mail, phone, or drop-off at select locations. Of all participants enrolled, 76.5% (n = 39) of infants have a complete record of stool samples. At least 88.2% (n = 45) of fecal samples were submitted at each timepoint. ARCHBG will allow for a nuanced understanding of the temporal development of the infant gut microbiome and numerous child health outcomes.

Influence of the degree of adherence to the mediterranean diet and its components on cardiometabolic risk during pregnancy. The GESTAFIT project

BACKGROUND AND AIMS

Studies regarding dietary patterns and cardiometabolic risk markers during pregnancy are scarce. The aim of the present study was to analyse whether different degrees of adherence to the Mediterranean diet (MD) and the MD components were associated with cardiometabolic markers and a clustered cardiometabolic risk during pregnancy.

METHODS AND RESULTS

This study comprised 119 pregnant women from the GEStation and FITness (GESTAFIT) project. Dietary habits were assessed with a food frequency questionnaire at the 16th and 34th gestational weeks (g.w.). The Mediterranean Diet Score was employed to assess MD adherence. The following cardiometabolic markers were assessed: pre-pregnancy body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glucose, triglycerides and high-density lipoprotein cholesterol (HDL-C). A greater MD adherence was associated with a better cardiometabolic status in cross-sectional (16th g.w. and 34th g.w.) and prospective analyses (MD adherence at the 16th g.w. and cardiometabolic markers at the 34th g.w.; SBP, DBP and HDL-C; all, p < 0.05). Participants with the highest MD adherence (Tertile 3) had a lower clustered cardiometabolic risk than those with the lowest MD adherence (Tertile 1) at the 16th and 34th g.w. (both, p < 0.05). A higher intake of fruits, vegetables and fish and a lower intake of refined cereals and red meat and subproducts were associated with a lower cardiometabolic risk during pregnancy (all, p < 0.05).

CONCLUSION

A higher MD adherence, a greater intake of fruits, vegetables and fish and a lower intake of refined cereals and red meat and subproducts showed a cardioprotective effect throughout gestation.

Assessing the effects of non-optimal temperature on risk of gestational diabetes mellitus in a cohort of pregnant women in Guangzhou, China

Previous observational studies have shown that exposure to ambient temperature and air pollution were associated with the incidence of gestational diabetes mellitus (GDM). However, the susceptible time window of non-optimal temperature on GDM is still unknown, and the interaction with air pollution has not been examined. We conducted a prospective cohort study in Guangzhou, China to investigate the windows of susceptibility of temperature extremes and variability on the risk of GDM and to explore any interaction effect with air pollution. Daily maximum (T_max), minimum temperature (T_min) and diurnal temperature range (DTR) were obtained from Guangdong Meteorological Service. Distributed lag non-linear models with a logistic regression were applied to assess the effect of temperature extremes and DTR in different weeks of gestation on GDM. To examine the interaction effect, relative excess risk due to interaction index, attributable proportion and synergy index were calculated. There were 5,165 pregnant women enrolled, of which 604 were diagnosed with GDM (11.7%). Compared with a reference temperature (50th percentile of T_max), we found that extreme high temperature (99th percentile of T_max) exposure during 21st and 22nd gestational weeks was associated with an increased risk of GDM. Extreme low temperature (1st percentile of T_max) exposure during 14th to 17th weeks increased the risk of GDM. We observed that per 1 °C increment of DTR during 21st to 24th weeks was associated with an elevated GDM risk. No interaction effect of temperature extremes or variability with air pollution on GDM were observed. Our results suggested that non-optimal temperature is an independent risk factor of GDM. The time window of susceptibility for extreme temperatures and DTR exposure on the risk of GDM generally occurred in second trimester of pregnancy. In the context of climate change, our study has important implications for reproductive health and justifies more research in different climate zones.

Longitudinal Assessment of Vitamin D Status across Trimesters of Pregnancy

BACKGROUND

The evolution of vitamin D status across pregnancy trimesters and its association with prepregnancy body mass index (ppBMI; in kg/m2) remain unclear.

OBJECTIVES

We aimed to 1) assess trimester-specific serum total 25-hydroxyvitamin D [25(OH)D] concentrations, 2) compare those concentrations between ppBMI categories, and 3) examine associations between 25(OH)D concentrations, ppBMI, and vitamin D intake.

METHODS

As part of a prospective cohort study, 79 pregnant women with a mean age of 32.1 y and ppBMI of 25.7 kg/m2 were recruited in their first trimester (average 9.3 weeks of gestation). Each trimester, vitamin D intake was assessed by 3 Web-based 24-h recalls and a Web questionnaire on supplement use. Serum total 25(OH)D was measured by LC-tandem MS. Repeated-measures ANOVA was performed to assess the evolution of 25(OH)D concentrations across trimesters of pregnancy and comparisons of 25(OH)D concentrations between ppBMI categories were assessed by 1-factor ANOVAs. Stepwise regression analyses were used to identify determinants of 25(OH)D concentrations in the third trimester.

RESULTS

Mean ± SD serum total 25(OH)D concentrations increased across trimesters, even after adjustments for ppBMI, seasonal variation, and vitamin D intake from supplements (67.5 ± 20.4, 86.5 ± 30.9, and 88.3 ± 29.0 nmol/L at mean ± SD 12.6 ± 0.8, 22.5 ± 0.8, and 33.0 ± 0.6 weeks of gestation, respectively; P < 0.0001). In the first and third trimesters, women with a ppBMI ≥30 had lower serum total 25(OH)D concentrations than women with a ppBMI <25 (P < 0.05); however, most had concentrations >40nmol/L by the second trimester. Vitamin D intake from supplements was the strongest determinant of third-trimester serum total 25(OH)D concentrations (r2 = 0.246, β = 0.51; P < 0.0001).

CONCLUSIONS

There was an increase in serum total 25(OH)D concentrations across trimesters, independent of ppBMI, seasonal variation, and vitamin D intake from supplements. Almost all women had serum total 25(OH)D concentrations over the 40- and 50-nmol/L thresholds, thus our study supports the prenatal use of a multivitamin across pregnancy.

Psychosocial and peripartum determinants of postpartum depression: Findings from a prospective population-based cohort. The ABCD study

BACKGROUND

Postpartum depression is prevalent and concerns a serious health problem for women and their families. The current large-scale birth cohort study investigated: (1) the associations of various potential determinants of postpartum depression using a multidimensional approach, and (2) the individual contribution of obstetric and perinatal determinants and pregnancy-specific anxiety to the risk of postpartum depression.

METHODS

This study was based on a large-scale birth cohort study in Amsterdam, the Netherlands (ABCD-study). In 5109 women depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off ≥16 indicating high risk of postpartum depression). Determinants were assessed using self-report or perinatal registries.

RESULTS

In the final multivariable model, other-Western and non-Western ethnic background, increased antepartum depressive symptoms, increased antepartum anxiety, increased pregnancy-specific anxiety, being unemployed, poor sleep quality, unwanted pregnancy, abuse, multiparity, and congenital abnormality were all independently related to an increased risk of postpartum depression. The strongest risk factors for postpartum depression were antepartum depressive symptoms (adjusted odds ratio (AOR) = 3.86, 95% confidence interval (CI) 3.02-4.92), having a baby with a congenital abnormality (AOR = 2.33, 95% CI 1.46-3.73), and abuse (AOR = 1.95, 95% CI 1.02-3.73). The final model accounted for 24.5% of the variance.

LIMITATIONS

Our dataset did not provide information on social support or maternal and family history of depression. Next to these determinants, future research should include biological factors.

CONCLUSIONS

The determinants identified provide opportunities for the development of multidimensional early screening and early intervention strategies for women with an increased risk of postpartum depression.

The Impact of a Lifestyle Intervention on Postpartum Weight Retention Among At-Risk Hispanic Women

INTRODUCTION

This study assesses the impact of a culturally modified, motivationally targeted, individually tailored intervention on postpartum weight retention among Hispanic women with abnormal glucose tolerance during pregnancy.

METHODS

Estudio Parto (Project Aiming to Reduce Type twO diabetes) was an RCT conducted in Western Massachusetts (collected 2013‒2017, analyzed 2018-2020). Hispanic women with blood glucose ≥140 mg/dL (7.77 mmol/L) on routine nonfasting oral glucose challenge test were randomized to a Lifestyle Intervention (n=100) focusing on healthy exercise and diet or to a comparison Health and Wellness Intervention (n=104) with no mention of exercise or diet behavior changes. The primary outcome was change in weight, calculated as the difference between prepregnancy weight and 6-week, 6-month, and 12-month postpartum weight. The secondary outcome was achievement of weight reduction to prepregnancy weight if prepregnancy BMI was normal, or a 5% reduction if prepregnancy BMI was overweight/obese.

RESULTS

In intent-to-treat analyses, there were no significant differences in weight change pattern between the intervention arms across all follow-up timepoints (β=0.03, 95% CI= -3.38, 3.45). However, at 12 months postpartum, women in the Lifestyle Intervention arm had a statistically significant 2.5-fold higher odds of meeting the secondary weight reduction outcome (OR=2.52, 95% CI=1.09, 5.82) than women in the Health and Wellness arm. Regardless of intervention arm, women who reported higher levels of postpartum sports/exercise had a greater decrease in weight (β= -2.39, 95% CI= -4.66, -0.13, p=0.04) than women reporting lower levels.

CONCLUSIONS

In this randomized trial among Hispanic women, no significant overall differences in weight change pattern between intervention arms were observed. Higher levels of self-reported physical activity were associated with greater weight loss in both arms.

High pre-pregnancy BMI with a history of gestational diabetes mellitus is associated with an increased risk of type 2 diabetes in Korean women

Despite the importance of pre-pregnancy body mass index (BMI) and a history of gestational diabetes mellitus (GDM) in the progression of GDM to type 2 diabetes, few studies have evaluated the combined effect of high pre-pregnancy BMI and GDM status on the future development of type 2 diabetes in Korean women. This study aimed to examine the relationship of pre-pregnancy BMI and GDM history with the risk of type 2 diabetes among Korean women. In addition, the effects of pre-pregnancy BMI and current BMI on the risk of type 2 diabetes were evaluated. Women who gave birth in the Health Examinees Study of the Korean Genome and Epidemiology Study from 2004 to 2013 (n = 59,258) were included in this study. Multivariable logistic regression was used to examine the association of pre-pregnancy BMI categories (underweight: <18.5 kg/m²; normal: 18.5–22.9 kg/m²; overweight: 23.0–24.9 kg/m²; obese: ≥25.0 kg/m²) and GDM history with the risk of type 2 diabetes after controlling for the following covariates: age, education, income, smoking status before the first pregnancy, alcohol consumption, regular exercise, menarche age, first pregnancy age, and first pregnancy outcome. Compared to women with normal pre-pregnancy BMIs, women with overweight and obese pre-pregnancy BMIs had higher odds of developing type 2 diabetes (adjusted odds ratio [AOR]: 1.13, 95% confidence interval [CI]: 1.02–1.25 and AOR: 1.29, 95% CI: 1.10–1.50, respectively) after controlling for covariates. Women with pre-pregnancy BMIs <23 kg/m² and current BMIs ≥23 kg/m² had increased odds of developing type 2 diabetes (AOR: 1.64, 95% CI: 1.51–1.78) compared to those with pre-pregnancy BMIs <23 kg/m² and current BMIs <23 kg/m². Among women without a history of GDM, those with overweight and obese pre-pregnancy BMIs had increased odds of developing type 2 diabetes compared to those with normal pre-pregnancy BMIs (AOR: 1.12, 95% CI: 1.01–1.24 and AOR: 1.23, 95% CI: 1.05–1.44, respectively). Among women with GDM, those with obese pre-pregnancy BMIs had increased odds of developing type 2 diabetes (AOR: 3.84, 95% CI: 1.52–9.87). This study showed that there was a higher likelihood of developing type 2 diabetes in women who were overweight or obese before pregnancy with a history of GDM compared to their counterparts without a history of GDM. Furthermore, high pre-pregnancy BMI or high current BMI increased the risk of type 2 diabetes in Korean women, regardless of GDM history. This emphasizes the importance of maintaining a healthy weight status before and after pregnancy to prevent the future risk of type 2 diabetes.

Prenatal IgE as a Risk Factor for the Development of Childhood Neurodevelopmental Disorders

Background: Few studies have examined if maternal allergic disease is associated with an offspring's neurodevelopment. We hypothesized that Th-2 biased maternal immune function assessed as total serum immunoglobulin (Ig) E is associated with attention deficit hyperactivity disorder (ADHD). Methods: Data are from the Wayne County Health, Environment, Allergy, and Asthma Longitudinal Study (WHEALS), a racially and socioeconomically diverse birth cohort in metropolitan Detroit, Michigan. Maternal total IgE was measured prenatally and at 1-month postpartum. Child total IgE was assessed at birth, 6 months, and 2 years of age. ADHD diagnosis was based on the parental report at the 10-12-year study visits or medical chart abstraction. Total IgE was log2 transformed. Poisson regression models with robust error variance were used to calculate the risk ratios (RR). Inverse probability weighting was used to correct for potential bias due to a loss to follow-up and non-response. Results: Of the 636 maternal-child pairs in the analysis, 513 children were neurotypical and 123 had ADHD. Maternal prenatal total IgE was significantly associated with ADHD even after adjustment for potential confounders (RR = 1.08, 95% CI 1.03-1.13). Maternal and child IgE measures were positively and significantly correlated, but child total IgE was not associated with ADHD at any time point. Conclusions: Maternal prenatal IgE may influence neurodevelopment, but additional studies are needed to confirm and expand these findings.

Traits of patients seen via telemedicine versus in person for new-patient visits in a fertility practice

Objective

To assess the differences in demographics, the likelihood of receiving treatment, and the clinical outcomes between new patients seen via telemedicine and those seen in person in an academic fertility practice.

Design

Retrospective cohort study.

Setting

University-based fertility clinic.

Patients

All new patients seen via telemedicine between June 1, 2017, and February 29, 2020, were compared with an equal number of all new patients seen in person between May 1, 2019, and June 30, 2019.

Interventions

None.

Main Outcome Measures

The primary outcome was receiving treatment after a new-patient visit. Binary logistic regression analyses were performed to estimate the odds ratio for not receiving treatment according to distance to the clinic and duration of infertility. The secondary outcomes included treatment recommendation, time to treatment initiation, and time to positive pregnancy test (if achieved). In addition we assessed patient demographics and visit traits per patient encounter.

Results

The telemedicine and in-person groups each contained 70 patients. The following were similar between the groups: age, body mass index, Area Deprivation Index, diagnosis made at the new-patient visit, and the number of clinic contacts before starting treatment. Compared with patients who had in-person new-patient visits, those who had telemedicine new-patient visits lived farther from the clinic (mean, 223.6 vs. 69.28 miles) and had a longer duration of infertility (mean, 41.9 vs. 19.49 months). No differences were noted between the groups in the following outcomes: percent that received treatment, time to treatment initiation, or time to pregnancy. Telemedicine new-patient visits were shorter than in-person new-patient visits (mean, 56.3 ± 9.1 vs. 59.3 ± 4.6 minutes) and less likely to contain documentation of height or weight.

Conclusions

Telemedicine appears to be of particular interest to patients who live farther from clinics and have longer durations of infertility, and it could reduce visit times. New patients seen in person and those seen via telemedicine are equally likely to pursue treatment. Telemedicine consultation for new-patient visits is feasible in an academic fertility practice and may be especially useful during a pandemic and in non-pandemic times in areas with limited access to fertility specialists.

Higher maternal BMI early in pregnancy is associated with overweight and obesity in young adult offspring in Thailand

Background

Rates of overweight and obesity among women of reproductive age have been steadily increasing worldwide and in Thailand. There is mounting evidence that maternal obesity during pregnancy is associated with an increased risk of obesity and other adverse health outcomes in the offspring, but such data are lacking for Thailand. We examined the associations between maternal body mass index (BMI) and anthropometry (particularly the likelihood of obesity) and cardiometabolic parameters in young adult offspring.

Methods

This was a prospective follow-up study of a birth cohort in Chiang Mai (Thailand). Pregnant women carrying singletons were recruited at their first antenatal visit (< 24 weeks of gestation) and followed until delivery in 1989–1990. Participants were their young adult offspring followed up in 2010. Maternal BMI was recorded at the first antenatal visit. The offspring underwent clinical assessments, including anthropometry, lipid profile, insulin sensitivity (HOMA-IR), blood pressure, and carotid intima-media thickness. The primary outcome of interest was the likelihood of obesity in the offspring.

Results

We assessed 628 young adults (54% were females) at 20.6 ± 0.5 years of age (range 19.1–22.1 years). The young adult offspring of mothers with overweight/obesity was 14.1 kg (95%CI 9.7, 18.5; p < 0.0001) and 9.4 kg (95% CI 6.1, 12.8; p < 0.0001) heavier than those born to mothers with underweight or normal weight, respectively, and had BMI 3.46 kg/m² (95%CI 2.26, 4.67; p < 0.0001) and 5.27 kg/m² (95%CI 3.67, 8.68; p < 0.0001) greater, respectively. For every 1-kg/m² increase in maternal BMI, the adjusted odds ratio (aOR) of offspring obesity was 25% greater (95%CI 1.10, 1.42; p < 0.001). Thus, the aOR of obesity in offspring of mothers with overweight/obesity was 4.6 times greater (95%CI 1.86, 11.26; p < 0.001) and nearly 17-fold greater (95%CI 1.96, 146.4; p = 0.010) compared to young adults born to mothers with normal weight or underweight, respectively. There were no observed associations between maternal BMI status and offspring metabolism or blood pressure.

Discussion

Maternal overweight/obesity early in pregnancy was associated with increased BMI and greater odds of obesity in their young adult offspring in Thailand. These findings highlight the public health importance of fostering healthier lifestyle choices among women of reproductive age.

Demographic, Pregnancy-Related, and Health-Related Factors in Association with Changes in Sleep Among Pregnant Women with Overweight or Obesity

BACKGROUND

Women with prepregnancy overweight/obesity are at high risk for obstetric complications and cardiometabolic disease. Poorer sleep quality is associated with obesity in non-pregnant individuals and, during pregnancy, poor sleep predicts negative obstetric and health outcomes. This study examined sleep patterns among women with overweight/obesity and factors associated with different sleep trajectories during pregnancy.

METHODS

Women (N = 146, 17-40 years old) with a prepregnancy body mass index ≥ 25 kg/m2 were recruited during early pregnancy. Participants reported demographic information and completed the Pittsburgh Sleep Quality Index (PSQI) at up to six monthly assessments, with the first assessment occurring between 12 and 20 weeks gestation and the final assessment between 35 weeks gestation and delivery. PSQI scores > 5 indicate "poor sleep."

RESULTS

On average, women's PSQI scores were 6.66 ± 3.58 in the first half of pregnancy and were significantly higher (worse) at the end of pregnancy (t(644) = 4.55, p < 0.001), with the greatest change occurring in the third trimester (t(636.3) = 3.72, p < 0.001). Women who currently smoked had poorer sleep than women who did not currently smoke (t(1) = 2.29, p = 0.02). Prepregnancy weight status, age, parity, race, education, and income were not significantly associated with sleep changes (t(1) < 1.76, ps > 0.08). The percentage of women with PSQI scores > 5 (the threshold for poor sleep quality) was 37-63% across assessments, with the greatest increase occurring during the third trimester (t(633) = 2.92, p = 0.004).

CONCLUSIONS

Sleep quality worsens during the third trimester and is associated with current smoking. Future studies of sleep during pregnancy should examine health outcomes among women with overweight/obesity and early intervention to mitigate sleep disturbances as pregnancy progresses.

The infant gut microbiota at 12 months of age is associated with human milk exposure but not with maternal pre-pregnancy body mass index or infant BMI-for-age z-scores

BACKGROUND

As obesity rates continue to rise, it is increasingly important to understand factors that can influence body weight and growth, especially from an early age. The infant gut microbiota has broad effects on a variety of bodily processes, but its relation to infant growth is not yet fully characterized. Since the infant gut microbiota is closely related to breastfeeding practices and maternal health, understanding the relationship between these factors and infant growth may provide insight into the origins of childhood obesity.

OBJECTIVES

Identify the relationship between human milk exposure, maternal pre-pregnancy body mass index (BMI), the infant gut microbiota, and 12-month-old BMI-for-age z-scores (12M BAZ) to identify key factors that shape infant growth.

METHODS

Two Michigan cohorts (ARCHGUT and BABYGUT) comprised of a total of 33 mother-infant dyads provided infant fecal samples at 12M. After DNA extraction, amplification, and sequencing of the V4 16S rRNA region using Illumina MiSeq v2 Chemistry, gut bacterial diversity metrics were analyzed in relation to human milk exposure, maternal pre-pregnancy BMI, and infant growth parameters.

RESULTS

Recent human milk exposure was inversely related to maternal pre-pregnancy BMI and most strongly associated with infant gut bacterial community membership and individual gut microbiota richness differences. Maternal pre-pregnancy BMI was not associated with the infant gut microbiota after adjusting for human milk exposure. However, maternal pre-pregnancy BMI was the only factor significantly associated with 12M BAZ.

CONCLUSIONS

Human milk exposure is one of the central influences on the infant gut microbiota at 12M of age. However, the lack of association between the infant gut microbiota and 12M-old infant BAZ suggests that genetic, physiological, dietary, and other environmental factors may play a more direct role than the gut microbiota in determining infant BAZ at 12M.

Trends and predictors of birth weight in Chilean children

OBJECTIVES

Birth weight is an important public health indicator that reflects fetal health conditions and predicts future health. Identifying the most important factors related to birth weight would help defining preventive health strategies for both mothers and children. The objectives of this study are i. to describe, using a large birth database from a Chilean hospital, the trend of birth weight during 2002-2015, and ii. to determine factors during prenatal care associated with low and high birth weight.

STUDY DESIGN

This study is a secondary analysis of all single birth records at a Chilean Hospital in the southeast district of Santiago, Chile, during 2002-2015 (N = 78,931).

METHODS

Sociodemographic information, clinical and obstetric history, lifestyle, and anthropometric variables were evaluated as potential predictors. Birth weight was categorized into five groups as per percentiles of weight as per gestational age. Data were extracted from clinical records. We used classification and regression tree methodology and logistic regression.

RESULTS

The average birth weight for the period was 3316 g (SD 566), with little variation across time. Preterm births increased from 7% in 2002 to 10% in 2015, and births >40 weeks decreased from 10.7% in 2002 to 4.4% in 2015. The percentages of small and large for gestational age changed from 10.9% and 12.7% in 2002 to 9.9% and 13.9% in 2015, respectively. The predictors included in the optimal tree were body mass index, gestational weight gain, pre-eclampsia, and gestational diabetes. We found that women with a pregestational body mass index <28 kg/m², gestational weight gain <17 kg, and preeclampsia had a probability of 41% of having a small for gestational age neonate. Conversely, women with a body mass index ≥28 kg/m², gestational weight gain ≥17 kg, and gestational diabetes had a probability of 44% of having a large for gestational age neonate.

CONCLUSIONS

This study showed that the most important variables explaining birth weight are those related to maternal nutritional status. Thus, the strategies to promote a normal birth weight should aim for a normal maternal weight at the beginning of pregnancy, gestational weight gain within the recommendations, and prevention of gestational diabetes and pre-eclampsia.

Maternal Diet Influences Fetal Growth but Not Fetal Kidney Volume in an Australian Indigenous Pregnancy Cohort

Suboptimal nutrition during pregnancy is recognised as a significant modifiable determinant in the development of chronic disease in offspring in later life. The current study aimed: (i) to assess the dietary intakes of pregnant Indigenous Australian women against national recommendations and (ii) to investigate the associations between maternal nutrition during pregnancy and the growth of the offspring, including kidney development in late gestation in the Gomeroi gaaynggal cohort (n = 103). Maternal dietary intake in the third trimester was assessed using the Australian Eating Survey Food Frequency Questionnaire. Estimated fetal weight (EFW) and kidney size were obtained by ultrasound. Birth weight was retrieved from hospital birth records. Of the five key nutrients for optimal reproductive health (folate, iron, calcium, zinc and fibre), the nutrients with the highest percentage of pregnant women achieving the nutrient reference values (NRVs) were zinc (75.7%) and folate (57.3%), whereas iron was the lowest. Only four people achieved all NRVs (folate, iron, calcium, zinc and fibre) important in pregnancy. Sodium and saturated fat intake exceeded recommended levels and diet quality was low, with a median score of 28 out of 73 points. After adjusting for smoking and pre-pregnancy body mass index, only maternal intake of retinol equivalents and the proportion of energy from nutrient-dense or energy-dense, nutrient-poor (EDNP) foods were associated with fetal growth. EFW decreased by 0.13 g and birth weight decreased by 0.24 g for every µg increase in maternal dietary retinol intake. Interestingly, EFW, but not actual birth weight, was positively associated with percentage energy from nutrient dense foods and negatively associated with percentage energy from EDNP foods. Dietary supplement usage was associated with increased birthweight, most significantly iron and folate supplementation. Current dietary intakes of pregnant Australian women from this cohort do not align with national guidelines. Furthermore, current findings show that maternal retinol intake and diet composition during pregnancy can influence fetal growth, but not fetal kidney growth in late gestation. Strategies that aim to support and optimise nutrient intakes of Indigenous pregnant women are urgently needed. Future studies with long-term follow-up of the children in the current cohort to assess renal damage and blood pressure are imperative.

Dietary and plasma carotenoids are positively associated with alpha diversity in the fecal microbiota of pregnant women

Because microbes use carotenoids as an antioxidant for protection, dietary carotenoids could be associated with gut microbiota composition. We aimed to determine associations among reported carotenoid intake, plasma carotenoid concentrations, and fecal bacterial communities in pregnant women. Pregnant women (n = 27) were enrolled in a two-arm study designed to assess feasibility of biospecimen collection and delivery of a practical nutrition intervention. Plasma and fecal samples were collected and women were surveyed with a 24-hr dietary checklist and recalls. Plasma carotenoids were analyzed by HPLC using photodiode array detection. Fecal bacteria were analyzed by 16S rRNA DNA sequencing. Results presented are cross-sectional from the 36-week gestational study visit combined across both study arms due to lack of significant differences between intervention and usual care groups (n = 23 women with complete data). Recent intake of carotenoid-containing foods included carrots, sweet potatoes, mangos, apricots, and/or bell peppers for 48% of women; oranges/orange juice (17%); egg (39%); tomato/tomato-based sauces (52%); fruits (83%); and vegetables (65%). Average plasma carotenoid concentrations were 6.4 µg/dL α-carotene (AC), 17.7 µg/dL β-carotene (BC), 11.4 µg/dL cryptoxanthin, 39.0 µg/dL trans-lycopene, and 29.8 µg/dL zeaxanthin and lutein. AC and BC concentrations were higher in women who recently consumed foods high in carotenoids. CR concentrations were higher in women who consumed oranges/orange juice. Microbiota α-diversity positively correlated with AC and BC. Microbiota β-diversity differed significantly across reported intake of carotenoid containing foods and plasma concentrations of AC. This may reflect an effect of high fiber or improved overall dietary quality, rather than a specific effect of carotenoids. PRACTICAL APPLICATION: Little is known about the association between the gut microbiome and specific dietary microconstituents, such as carotenoids, especially during pregnancy. This research demonstrates that a carotenoid-rich diet during pregnancy supports a diverse microbiota, which could be one mechanism by which carotenoids promote health.

Trimester-Specific and Total Gestational Weight Gain in Two Consecutive Pregnancies

OBJECTIVE

This retrospective study aimed to characterize trimester-specific and total gestational weight gain (GWG) over the course of two consecutive pregnancies, as well as maternal determinants associated with interpregnancy weight change (IPWC) and excessive GWG in the second pregnancy.

METHODS

We analyzed the electronic medical records of women who delivered their first two consecutive infants at term between 2001 and 2017.

RESULTS

Weight gain trajectories differed between the first and second pregnancy for the 1497 women included in this study, with lower second- and third-trimester weight gain in the second pregnancy. Respectively, 53% and 41% of women had excessive GWG in the first and second pregnancies, with a higher proportion of excessive GWG found in women with a higher body mass index (BMI). Most women (55%) experienced interpregnancy weight gain. Maternal determinants of IPWC were BMI before first pregnancy, first-trimester and total GWG in the first pregnancy, and interpregnancy interval (P < 0.0001). Maternal risk factors associated with excessive GWG in the second pregnancy were excessive total GWG in the first pregnancy (OR 6.23; 95% CI 4.67-8.32), interpregnancy weight gain (OR 1.58; 95% CI 1.19-2.09), and interpregnancy interval (OR 1.18; 95% CI 1.07-1.29) as well as BMI before the second pregnancy (OR 1.04, 95% CI 1.02-1.07).

CONCLUSION

Weight gain trajectories differ between consecutive pregnancies. GWG in the first pregnancy is a key determinant for IPWC and GWG in the second pregnancy.

Agreement between self-reported pre-pregnancy weight and measured first-trimester weight in Brazilian women

Background

Self-reported pre-pregnancy weight and weight measured in the first trimester are both used to estimate pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) but there is limited information on how they compare, especially in low- and middle-income countries, where access to a weight scale can be limited. Thus, the main goal of this study was to evaluate the agreement between self-reported pre-pregnancy weight and weight measured during the first trimester of pregnancy among Brazilian women so as to assess whether self-reported pre-pregnancy weight is reliable and can be used for calculation of BMI and GWG.

Methods

Data from the Brazilian Maternal and Child Nutrition Consortium (BMCNC, n = 5563) and the National Food and Nutritional Surveillance System (SISVAN, n = 393,095) were used to evaluate the agreement between self-reported pre-pregnancy weight and weights measured in three overlapping intervals (30–94, 30–60 and 30–45 days of pregnancy) and their impact in BMI classification. We calculated intraclass correlation and Lin’s concordance coefficients, constructed Bland and Altman plots, and determined Kappa coefficient for the categories of BMI.

Results

The mean of the differences between self-reported and measured weights was < 2 kg during the three intervals examined for BMCNC (1.42, 1.39 and 1.56 kg) and about 1 kg for SISVAN (1.0, 1.1 and 1.2 kg). Intraclass correlation and Lin’s coefficient were > 0.90 for both datasets in all time intervals. Bland and Altman plots showed that the majority of the difference laid in the ±2 kg interval and that the differences did not vary according to measured first-trimester BMI. Kappa coefficient values were > 0.80 for both datasets at all intervals. Using self-reported pre-pregnancy or measured weight would change, in total, the classification of BMI in 15.9, 13.5, and 12.2% of women in the BMCNC and 12.1, 10.7, and 10.2% in the SISVAN, at 30–94, 30–60 and 30–45 days, respectively.

Conclusion

In Brazil, self-reported pre-pregnancy weight can be used for calculation of BMI and GWG when an early measurement of weight during pregnancy is not available. These results are especially important in a country where the majority of woman do not initiate prenatal care early in pregnancy.

Supplementary Information

Supplementary information accompanies this paper at 10.1186/s12884-020-03354-4.

Pregnancy-Related Weight and Postpartum Depressive Symptoms: Do the Relationships Differ by Race/Ethnicity?

Background: There are significant racial/ethnic disparities in the prevalence of postpartum depression. Prior research in the general population suggests that weight status is related to depression and that this relationship varies by race/ethnicity. However, few studies have investigated whether race/ethnicity moderates the relationship between pregnancy-related weight and postpartum depressive symptoms (PPDS). The objective of this study is to examine the relationship between pregnancy-related weight and maternal PPDS overall and by race/ethnicity. Materials and Methods: This study used data from the Early Childhood Longitudinal Study-Birth Cohort (n ≈ 6950). Ordinary least-squares and logistic regression was used to examine whether pregnancy-related weight, including preconception weight status and gestational weight gain (GWG), was associated with PPDS measured using the Center for Epidemiologic Studies-Depression Scale (CES-D). Stratified analyses were used to assess whether these relationships varied by race/ethnicity. Results: Preconception obesity (body mass index [BMI] ≥30 kg/m²) was associated with higher levels of PPDS (β = 0.601, 95% confidence interval [CI], 0.149-1.053). GWG adequacy was not associated with PPDS. Among non-Hispanic (NH) whites, preconception obesity was positively associated with PPDS (β = 1.016, 95% CI, 0.448-1.584). In contrast, among Hispanics, preconception overweight (25 kg/m² ≤ BMI <30 kg/m²) was associated with lower levels of PPDS (β = -0.887, 95% CI, -1.580 to -0.195). There were no statistically significant relationships between pregnancy-related weight and PPDS among NH black or Asian women, but both groups were significantly more likely than NH whites to report PPDS. Conclusion: Whether and how pregnancy-related weight is associated with PPDS varies by race/ethnicity. Addressing preconception weight could help reduce overall levels of PPDS among NH whites but would likely fail to mitigate racial/ethnic disparities in postpartum mental health.

Society for Maternal-Fetal Medicine Special Statement: Checklists for preeclampsia risk-factor screening to guide recommendations for prophylactic low-dose aspirin

In pregnant individuals with risk factors for preeclampsia, prophylactic low-dose aspirin is recommended to reduce the risk of developing preeclampsia. Fifteen distinct risk factors are recognized, including elements of current and past medical and obstetrical history, family history, and examination findings. We present checklists intended to reduce the chance that risk factors might be inadvertently overlooked and to improve the probability of aspirin being recommended for all appropriate candidates. We also suggest how such a checklist can be implemented into practice.

Mediating role of C-reactive protein in associations between pre-pregnancy BMI and adverse maternal and neonatal outcomes: the ABCD-study cohort

OBJECTIVES

Increased body mass index (BMI) is associated with several adverse pregnancy outcomes, though the underlying mechanism of this association has not been fully elucidated. A mediating role of low-grade systemic inflammation in these associations is suspected but has been understudied. Our objective was to examine the effect of pre-pregnancy BMI (pBMI) on maternal and neonatal pregnancy outcomes and to explore potential mediation of these effects by C-reactive protein (CRP), a first trimester peripheral marker of inflammation.

METHODS

Data from the prospective community-based ABCD-study cohort (n = 3547) was used to assess associations between self-reported continuous and categorized pBMI and outcome measures gestational hypertension (GH) and preeclampsia (PE), preterm birth (PTB) and small for gestational age (SGA) based on national perinatal registration linkage data. High-sensitivity CRP concentrations determined in serum were used to explore potential mediation of these associations by inflammation.

RESULTS

Multivariable logistic regression analyses, adjusted for confounders, showed that pBMI was significantly related to gestational hypertensive disorders (odds ratio (OR) per standard deviation (SD) 1.66, 95% confidence interval (CI) 1.51-1.83) and PTB (OR 1.20, 95% CI 1.05-1.37). Dose-response relationships between categorical pBMI and gestational hypertensive disorders (overweight OR 2.37, 95% CI 1.85-3.03 and obese OR 4.45, 95% CI 2.93-6.72) and PTB (obese OR 2.12, 95% CI 1.16-3.87) were found as well. SGA was only significantly more prevalent in the underweight BMI category (OR 2.06, 95% CI 1.33-3.19). Mediation analyses revealed small but significant indirect effects of pBMI on overall PTB (0.037, bootstrapped 95% CI 0.005-0.065) and spontaneous PTB (0.038, bootstrapped 95% CI 0.002-0.069) through higher CRP. CRP was not a significant mediator of associations between BMI and gestational hypertensive disorders although larger mediation was found for GH than for PE.

CONCLUSION

Our findings provide additional evidence that high(er) pBMI increases the risk of adverse maternal and neonatal outcomes and that systemic inflammation mediates some of these risks. Further research in large cohorts including (morbidly) obese women is warranted to identify pathways that may be incorporated in future interventions to reduce the risk of adverse pregnancy outcomes due to maternal obesity.