Birthweight and cardiometabolic risk patterns in multiracial children

Unsupervised identification of cardiometabolic profiles among adolescents: findings from the PARIS birth cohort study

Metabolic syndrome (MetS) is known as a risk factor in cardiometabolic morbidity but there is no consensus on its definition for teenagers. We aimed to identify cardiometabolic health profiles and which parameters best discriminate them. K-means partitioning identified cardiometabolic profiles by sex using data on health measurements of 530 adolescents from the PARIS birth cohort. A discriminant analysis was performed. Cardiometabolic risk score and handgrip strength were also measured. Depending on definitions, MetS prevalence ranged from 0.2% to 1.3%. Two profiles were identified for the entire group and by sex: "healthy" and "at cardiometabolic risk." Weight and waist-to-height ratio or waist circumference explained more than 87% of the variance in the profile differentiation. The "at cardiometabolic risk" profiles included adolescents with overweight, a waist-to-height ratio over 0.5, and prehypertension. They had higher cardiometabolic risk scores and parents who were more likely to be overweight and have cardiometabolic diseases themselves. They also had higher birthweights, earlier adiposity-rebound and puberty ages, and lower relative handgrip strength.  Conclusion: The two profiles identified, based on cardiometabolic health, were associated with early indicators and handgrip strength. Results suggest that the waist-to-height ratio is a useful clinical tool for screening individuals at cardiometabolic risk and who therefore require clinical follow-up. What is Known: • Although there is a need for tools to assess cardiometabolic health during adolescence, there is no consensus on the definition of metabolic syndrome for this age group. What is Knew: • The findings suggest that waist-to-height ratio can serve as a simple and valuable clinical tool for screening individuals at cardiometabolic risk who may require clinical monitoring for early prevention of cardiovascular diseases.

Association of birth weight with risk of diabetes mellitus in adolescence and early adulthood: analysis of the Indonesian Family Life Survey

PURPOSE

We aimed to investigate the association of birth weight with the risk of diabetes mellitus in adolescence and early adulthood in the Indonesian population.

METHODS

This study analyzed data from the Indonesian Family Life Survey, a longitudinal study of the Indonesian population with repeated measurements at 3 time points (1997, 2007, and 2014). The subjects observed were children aged 0-59 months in 1997, who were 10-15 years old in 2007, and 17-22 years in 2014. We performed a generalized linear model to investigate the association between birth weight at baseline and the level of hemoglobin A1c (HbA1c) at the 2 follow-up periods. We adjusted the association for the characteristics of the children, parents, and household.

RESULTS

The mean±standard deviation level of HbA1c was 7.35%±0.95% in 2007 and decreased to 5.30%±0.85% in 2014. The crude β (95% confidence interval [CI]) of the association between birth weight and HbA1c was 0.150 (-0.076, 0.377) in 2007 and 0.146 (-0.060, 0.351) in 2014. After adjustment for the sociodemographic characteristics of the children, parents, and confounding factors, the adjusted β (95% CI) was 1.12 (0.40-1.85) in 2007 and 0.92 (0.35-1.48) in 2014. The HbA1c of the parents, father's employment status, percentage of food expenditure, and underweight were the covariates that had significant associations with HbA1c.

CONCLUSION

HbA1c level was higher in adolescence than in early adulthood. Birth weight was associated with HbA1c level in both periods. The HbA1c of the parents, father's employment, percentage of food expenditure, and underweight partly explained the association between birth weight and the HbA1c level.

Maternal asthma in relation to infant size and body composition

Background

Asthma affects 10% of pregnancies and may influence offspring health, including infant size and body composition, through hypoxic and inflammatory pathways.

Objective

We sought to determine associations between maternal asthma and asthma phenotypes during pregnancy and infant size and body composition.

Methods

The B-WELL-Mom study (2015-19) is a prospective cohort of 418 pregnant persons with and without asthma recruited in the first trimester of pregnancy from 2 US obstetric clinics. Exposures were maternal self-reported active asthma (n = 311) or no asthma (n = 107), and asthma phenotypes were classified on the bases of atopy, onset, exercise induced, control, severity, symptomology, and exacerbations. Outcomes were infant weight, length, head circumference, and skinfold measurements at birth and postnatal follow-up, as well as fat and lean mass assessed by air displacement plethysmography at birth. Adjusted multivariable linear regression examined associations of maternal asthma and asthma phenotypes with infant outcomes.

Results

Offspring were born at a mean ± SD of 38 ± 2.3 weeks' gestation and were 18 ± 2.2 weeks of age at postnatal follow-up. Infants of participants with asthma had a mean ± SD fat mass of 11.0 ± 4.2%, birth weight of 3045.8 ± 604.3 g, and postnatal follow-up weight of 6696.4 ± 964.2 g, which were not different from infants of participants without asthma (respectively, β [95% confidence interval]: -0.1 [-1.4, 1.3], -26.7 [-156.9, 103.4], and 107.5 [-117.3, 332.3]). Few associations were observed between asthma or asthma phenotypes and infant size or body composition.

Conclusions

In a current obstetric cohort, maternal asthma during pregnancy was not associated with differential infant size or body composition.

Midpregnancy Phthalate and Phenol Biomarkers in Relation to Infant Body Composition: The Healthy Start Prospective Cohort

BACKGROUND

Gestational phthalate and phenol exposure disrupts adipogenesis, contributing to obesity in mice. Whether gestational phthalate or phenol exposure is associated with infant body composition has not been investigated in humans.

OBJECTIVE

We examined associations between biomarkers of phthalate and phenol exposure in midpregnancy and infant size and body composition at birth and at 5 months of age.

METHODS

Analyses were conducted among 438 infants from the Healthy Start prospective pregnancy cohort. Sixteen phthalate and phenol biomarkers were quantified in spot urine samples collected at 24-28 wk of gestation. Infant outcomes measured at birth and at 5 months of age included size [weight (in grams)] and body composition [fat and lean masses (in grams); percentage fat mass]. Single- (linear) and multipollutant (quantile g-computation) models were used to estimate associations of phthalate and phenol biomarkers with infant outcomes at birth and at 5 months of age. Models were adjusted for sociodemographics, sample collection timing, and lifestyle factors and used to examine for effect modification by infant sex.

RESULTS

In single-pollutant models, mono-benzyl phthalate and di-n -butyl phthalate were inversely associated with percentage fat mass [β : - 0.49 (95% CI: - 0.91 , - 0.08 ) and - 0.51 (95% CI: - 1.02 , 0.01), respectively] in male but not female infants at birth. Similar, but less precise, associations were observed at 5 months of age. In multipollutant models, a 1-quartile increase in the phthalate and phenol biomarker mixture was inversely associated with percentage fat mass at birth [- 1.06 (95% CI: - 2.21 , 0.1)] and at 5 months of age [- 2.14 (95% CI: - 3.88 , - 0.39 )] among males, but associations were null among females [0.48 (95% CI: - 0.78 , 1.75) and - 0.64 (95% CI: - 2.68 , 1.41), respectively]. Similar associations were observed with infant weight.

CONCLUSION

In this U.S.-based prospective cohort, gestational phthalate and phenol biomarkers were inversely associated with infant weight and fat mass, particularly in males. https://doi.org/10.1289/EHP12500.

Association of size for gestational age and dehydroepiandrosterone sulfate with cardiometabolic risk in central precocious puberty girls

Objective

The aim of this study was to assess whether size for gestational age and dehydroepiandrosterone sulfate (DHEAS) are associated with cardiometabolic risk in central precocious puberty (CPP) girls.

Methods

The retrospective study included 443 patients with newly diagnosed CPP. Subjects were categorized by birth weight for gestational age (appropriate [AGA], small [SGA], and large [LGA] for gestational age) and serum DHEAS concentration (high [≥75th percentile] and normal [<75th percentile] DHEAS). Cardiometabolic parameters were examined. Composite cardiometabolic risk (CMR) score was calculated based on BMI, blood pressure, glucose, insulin, triglyceride, and HDL cholesterol. Non-obesity CMR score was computed, omitting the value from BMI. Logistic regression models, general linear models, and partial correlation analyses were used to evaluate associations. Propensity score matching was performed for sensitivity analyses.

Results

Overall, 309 patients (69.8%) were born AGA, 80 (18.1%) were born SGA, and 54 (12.2%) were born LGA. Compared with AGA counterparts, CPP girls born SGA were more prone to have elevated HbA1c (adjusted OR = 4.54; 95% CI, 1.43-14.42) and low HDL cholesterol (adjusted OR = 2.33; 95% CI, 1.18-4.61). In contrast, being born LGA was not associated with increased risk for any glucose or lipid derangements. Despite the fact that elevated CMR score was more common among individuals born LGA than AGA (adjusted OR = 1.84; 95% CI, 1.07-4.35), no significant difference was found on non-obesity CMR score (adjusted OR = 0.75; 95% CI, 0.30-1.88). When controlling for age, birth weight SDS, and current BMI-SDS, individuals with high DHEAS exhibited higher HDL cholesterol and apolipoprotein A-1 concentrations and lower triglyceride level and non-obesity CMR score. Furthermore, DHEAS correlated positively with HDL cholesterol and apolipoprotein A-1 and negatively with triglyceride, prominently in girls born SGA, after adjustments for the three abovementioned confounders. Sensitivity analyses corroborated the findings.

Conclusion

Among CPP girls, those born SGA were more likely to possess cardiometabolic risk factors compared to their AGA peers. The difference we observed in cardiometabolic risk between individuals born LGA and AGA was driven by BMI. High DHEAS was associated with favorable lipid profile in CPP girls, even in subjects born SGA.

Differences in birth weight between immigrants' and natives' children in Europe and Australia: a LifeCycle comparative observational cohort study

OBJECTIVE

Research on adults has identified an immigrant health advantage, known as the 'immigrant health paradox', by which migrants exhibit better health outcomes than natives. Is this health advantage transferred from parents to children in the form of higher birth weight relative to children of natives?

SETTING

Western Europe and Australia.

PARTICIPANTS

We use data from nine birth cohorts participating in the LifeCycle Project, including five studies with large samples of immigrants' children: Etude Longitudinale Française depuis l'Enfance-France (N=12 494), the Raine Study-Australia (N=2283), Born in Bradford-UK (N=4132), Amsterdam Born Children and their Development study-Netherlands (N=4030) and the Generation R study-Netherlands (N=4877). We include male and female babies born to immigrant and native parents.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome is birth weight measured in grams. Different specifications were tested: birth weight as a continuous variable including all births (DV1), the same variable but excluding babies born with over 4500 g (DV2), low birth weight as a 0-1 binary variable (1=birth weight below 2500 g) (DV3). Results using these three measures were similar, only results using DV1 are presented. Parental migration status is measured in four categories: both parents natives, both born abroad, only mother born abroad and only father born abroad.

RESULTS

Two patterns in children's birth weight by parental migration status emerged: higher birth weight among children of immigrants in France (+12 g, p<0.10) and Australia (+40 g, p<0.10) and lower birth weight among children of immigrants in the UK (-82 g, p<0.05) and the Netherlands (-80 g and -73 g, p<0.001) compared with natives' children. Smoking during pregnancy emerged as a mechanism explaining some of the birth weight gaps between children of immigrants and natives.

CONCLUSION

The immigrant health advantage is not universally transferred to children in the form of higher birth weight in all host countries. Further research should investigate whether this cross-national variation is due to differences in immigrant communities, social and healthcare contexts across host countries.

Birth weight and prediabetes in a nationally representative sample of US adolescents

Prediabetes affects about 20% of adolescents in the United States. Previous studies have shown that low and high birth weight impairs glucose homeostasis in adults; however, limited research has examined this relationship in adolescents. To investigate association of birthweight with prediabetes in US adolescents using data from NHANES 2005-2016 and examine whether sex and obesity moderate this relationship. Adolescents, aged 12-15 years without diagnosed/undiagnosed diabetes and extreme birthweight (n = 1396), were classified as low birth weight (LBW), normal birthweight (NBW) and high birth weight (HBW). Logistic regression examined relationship of birthweight with odds of prediabetes. Likelihood ratio test tested interactions of birthweight with sex and obesity measures. In this nationally representative cross-sectional study, LBW adolescents had significantly higher odds of prediabetes compared to NBW counterparts (Odds ratio [95% confidence interval] = 1.93 (1.10, 3.38); p < .05). Sex and obesity moderated the association, such that the strength of the relationship of LBW with increased prediabetes odds was greater among male adolescents (Odds ratio [95% confidence interval] = 2.40 (1.02, 5.67); p < .05) and those with overweight/obesity (Odds ratio [95% confidence interval] = 2.13 (1.01, 4.49); p < .05). Findings imply that the adverse effects of LBW on glucose homeostasis could be manifested early in life. Further, the higher odds of prediabetes among LBW adolescents who are male or have overweight/obesity underscore the heightened need for prediabetes screening of these subgroups.

Birth Size as a Determinant of Cardiometabolic Risk Factors in Children

The association between birth size and cardiometabolic disease risk may be U-shaped. Being born small for gestational age (SGA) has a definitive association with later cardiovascular risk, but the impact of being born large for gestational age (LGA) on cardiometabolic health is more controversial. In addition to birth size, early postnatal growth pattern and later weight gain affect cardiometabolic risk in adulthood. Most SGA-born children have catch-up and LGA-born children have catch-down growth during the first years of life. The extent of this early compensatory growth may contribute to the adverse health outcomes. Both SGA- and LGA-born children are at an increased risk for overweight and obesity. This may have a long-term impact on cardiometabolic health as overweight tends to track to adulthood. Other cardiometabolic risk factors, including alterations in glucose metabolism, dyslipidemia, hypertension, and low-grade inflammation are associated with birth weight. Many of these risk factors are related to overweight or adverse fat distribution. Since later cardiometabolic risk is often mediated by early growth pattern and later overweight in SGA and LGA children, it is important to focus on staying normal weight throughout life. Hence, effective interventions to reduce cardiometabolic risk in LGA and SGA children should be developed.

Maternal phthalate urine concentrations, fetal growth and adverse birth outcomes. A population-based prospective cohort study

IMPORTANCE

Exposure to phthalates may affect fetal growth, but previous studies are inconsistent and have not explored the trimester-specific effects of phthalates on repeated measures of fetal growth.

OBJECTIVE

To assess the associations of maternal phthalate metabolites urine concentrations with fetal growth measures and birth outcomes and identify potential windows of vulnerability to exposure.

DESIGN

Population-based prospective cohort study, the Generation R Study (2002-2006). Data analysis was performed from November 2019 to June 2020.

SETTING

Rotterdam, the Netherlands.

PARTICIPANTS

1379 pregnant women.

EXPOSURES

Maternal phthalate metabolites urine concentrations in first, second and third trimester.

MAIN OUTCOMES AND MEASURES

Fetal head circumference, length and weight measured in the second and third trimester by ultrasound and at birth and preterm birth and small size for gestational age at birth.

RESULTS

Higher pregnancy-averaged phthalic acid, low molecular weight phthalate (LMWP), high molecular weight phthalate (HMWP) and di-2-ethylhexylphthalate (DEHP) concentrations tended to be associated with lower fetal weight SDS across gestation. The associations of phthalic acid and LMWP with fetal weight became stronger as pregnancy progressed (differences -0.08 (95% CI -0.14 to -0.02) SDS and -0.09 (95% CI -0.16 to -0.02) SDS at 40 weeks per interquartile range increase in phthalic acid and LMWP, respectively). Higher concentrations of specific LMWP, HMWP and DEHP metabolites were also associated with smaller head circumference and lower length SDS at birth and an increased risk of preterm birth and small size for gestational age at birth (p-values < 0.05). We observed differences by timing of exposure in these associations.

CONCLUSIONS AND RELEVANCE

Higher maternal phthalate metabolites urine concentrations seem to be related with fetal growth restriction and preterm birth. Phthalates may have trimester specific effects on fetal growth and birth outcomes. Further studies are needed to explore the underlying mechanisms and long-term consequences.

Gestational sleep deprivation is associated with higher offspring body mass index and blood pressure

Study Objectives

The objective of this study was to evaluate the association between gestational sleep deprivation and childhood adiposity and cardiometabolic profile.

Methods

Data were used from two population-based birth cohorts (Rhea study and Amsterdam Born Children and their Development study). A total of 3,608 pregnant women and their children were followed up until the age of 11 years. Gestational sleep deprivation was defined as 6 or fewer hours of sleep per day, reported by questionnaire. The primary outcomes included repeated measures of body mass index (BMI), waist circumference, body fat, serum lipids, systolic and diastolic blood pressure (DBP) levels in childhood. We performed a pooled analysis with adjusted linear mixed effect and Cox proportional hazards models. We tested for mediation by birthweight, gestational age, and gestational diabetes.

Results

Gestational sleep deprivation was associated with higher BMI (beta; 95% CI: 0.7; 0.4, 1.0 kg/m²) and waist circumference (beta; 95% CI: 0.9; 0.1, 1.6 cm) in childhood, and increased risk for overweight or obesity (HR; 95% CI: 1.4; 1.1, 2.0). Gestational sleep deprivation was also associated with higher offspring DBP (beta; 95% CI: 1.6; 0.5, 2.7 mmHg). The observed associations were modified by sex (all p-values for interaction < 0.05); and were more pronounced in girls. Gestational diabetes and shorter gestational age partly mediated the seen associations.

Conclusions

This is the first study showing that gestational sleep deprivation may increase offspring’s adiposity and blood pressure, while exploring possible mechanisms. Attention to glucose metabolism and preterm birth might be extra warranted in mothers with gestational sleep deprivation.

Developmental and Early Life Origins of Cardiometabolic Risk Factors: Novel Findings and Implications

The intent of this review is to critically consider the data that support the concept of programming and its implications. Birth weight and growth trajectories during childhood are associated with cardiometabolic disease in adult life. Both extremes, low and high birth weight coupled with postnatal growth increase the early presence of cardiometabolic risk factors and vascular imprinting, crucial elements of this framework. Data coming from epigenetics, proteomics, metabolomics, and microbiota added relevant information and contribute to better understanding of mechanisms as well as development of biomarkers helping to move forward to take actions. Research has reached a stage in which sufficiently robust data calls for new initiatives focused on early life. Prevention starting early in life is likely to have a very large impact on reducing disease incidence and its associated effects at the personal, economic, and social levels.

Association between birthweight, cardiovascular risk factors, and depression in young Mexican adults

Introduction

Background: the aim of this study was to investigate the association between birthweight, cardiovascular disease (CVD) risk factors, and depression in young Mexican adults. Methods: birthweight reports, family history of CVD and diabetes-related diseases, anthropometrics, serum lipid profile (total cholesterol [TC], triglycerides [TG], high-density lipoprotein-cholesterol [HDL-C], low-density lipoprotein-cholesterol [LDL-C], and very-low density lipoprotein-cholesterol [VLDL-C]), and depressive symptoms were measured in 778 subjects of the UP-AMIGOS cohort study. To investigate the association between birthweight categories and CVD risk factors and depression, a one-way analysis of variance with post-hoc test was performed of quantitative variables, and 2 test for qualitative variables. Results: mean age was 17.8 years and 469 (60.3 %) of patients were female (n = 469, 60.3 %). The percentage of patients with low birthweight (LBW) was 8.1 % (n = 63), and 3.3 % (n = 26) reported high birthweight (HBW). Young adults with HBW were associated with elevated diastolic blood pressure (DBP), and high weight and body mass index (BMI) when compared to LBW subjects, the difference being statically significant (p < 0.05). Birthweight had no significant association with depression (p > 0.67). Conclusion: the findings from this population-based study revealed a positive relation between birthweight categories and some CVD risk factors. Depression was not related to birthweight.

Identification of novel SNPs associated with coronary artery disease and birth weight using a pleiotropic cFDR method

Objectives: Clinical and epidemiological findings indicate an association between coronary artery disease (CAD) and low birth weight (BW). However, the mechanisms underlying this relationship are largely unknown. Here, we aimed to identify novel single-nucleotide polymorphisms (SNPs) associated with CAD, BW, and their shared pleiotropic loci, and to detect the potential causal relationship between CAD and BW.

Methods: We first applied a genetic pleiotropic conditional false discovery rate (cFDR) method to two independent genome-wide association studies (GWAS) summary statistics of CAD and BW to estimate the pleiotropic enrichment between them. Then, bi-directional Mendelian randomization (MR) analyses were performed to clarify the causal association between these two traits.

Results: By incorporating related traits into a conditional analysis framework, we observed the significant pleiotropic enrichment between CAD and BW. By applying the cFDR level of 0.05, 109 variants were detected for CAD, 203 for BW, and 26 pleiotropic variants for both traits. We identified 11 CAD- and/or BW-associated SNPs that showed more than three of the metabolic quantitative trait loci (metaQTL), protein QTL (pQTL), methylation QTL (meQTL), or expression QTL (eQTL) effects. The pleiotropic SNP rs10774625, located at ATXN2, showed metaQTL, pQTL, meQTL, and eQTL effects simultaneously. Using the bi-directional MR approach, we found a negative association from BW to CAD (odds ratio [OR] = 0.68, 95% confidence interval [CI]: 0.59 to 0.80, p = 1.57× 10^-6).

Conclusion: We identified several pleiotropic loci between CAD and BW by leveraging GWAS results of related phenotypes and identified a potential causal relationship from BW to CAD. Our findings provide novel insights into the shared biological mechanisms and overlapping genetic heritability between CAD and BW.

Association Between High Birth Weight and Later Central Obesity in 9-Year-Old Schoolchildren

Background and Objective: Studies have suggested that birth weight (BW) is associated with body mass index (BMI), but its association with waist circumference (WC) in children should be further explored. To determine the association between central obesity (OB) in 9-year-old Argentinean schoolchildren and high BW. Methods: Schoolchildren (n = 2567, 1157 males) aged 8.7 ± 2.1 years from 10 elementary schools in 5 states in Argentina were examined between April 2017 and September 2019. Mothers submitted children's BW information. Pediatricians assessed anthropometric measures and blood pressure (BP). Central OB was defined for children as WC ≥90th percentile for age and gender. Results: The prevalence of overweight (OW) and OB (OW/OB) was 42.7% (1095) and that of central OB was 34.8% (856) in 9-year-old children. The prevalence of low BW (<2500 grams) and high BW (>4000 grams) was 6.6% (n = 169) and 7.4% (n = 190), respectively. BW (3.25 vs. 3.36 kg), weight (31.38 vs. 42.88 kg), BMI (17.29 vs. 22.25 kg/m²), BMI z-scores (z-BMI; 0.25 vs. 1.63), systolic BP (96 vs. 98 mmHg), and diastolic BP (59 vs. 60 mmHg) were significantly lower in 9-year-old children without central OB than in those with central OB, respectively. Multiple logistic regression analysis using central OB as the dependent variable showed that high BW [odds ratio, 1.98 (95% confidence interval 1.44-2.73)] was associated with central OB, adjusted for age, gender, and systolic and diastolic BP. Conclusion: This study shows that central OB in 9-year-old children was associated with high BW. Future longitudinal studies should be performed to confirm this finding. Clinical Registration number, IATIMET-08102019.

Effect of multidimensional lifestyle interventions on metabolic risk reduction in children: a cluster randomised controlled trial

Few clinical trials have investigated lifestyle intervention effect on metabolic health in children. The study aimed to examine the effect of diet and physical activity intervention on the reduction of clustered metabolic risk score (CMRS) in children and moderators and mediators of the intervention effect. A multicentre, clustered randomised controlled trial was conducted with examination conducted at baseline and after intervention over one year. 7110 children (49.7% girls) with a mean of 9.06 (95% CI: 9.03, 9.09) years were included in the analysis. In Beijing, each three schools were randomly assigned to diet-only, physical activity-only intervention and control groups. In five other urban cities, each 15 schools were randomly assigned to comprehensive intervention and control groups. CMRS was computed by summing the Z scores of % fat mass, systolic blood pressure, fasting glucose, ratio of cholesterol to high-density lipoprotein, and triglyceride. Compared with controls (n = 2808), children in the comprehensive intervention group (n = 2848) had more reduction in CMRS (multivariate-adjusted mean difference (95% CI): -0.49 (-0.85, -0.14)). The body mass index (BMI) reduction explained 7.3% (95% CI 2.8%-18.1%) of the total intervention effect. The intervention was more effective in children with higher birthweight, lower parental BMI, or complete parental data. Diet-only or physical activity-only intervention had non-significant effects on CMRS reduction. Our multidimensional comprehensive intervention resulted in significant reduction in CMRS in primary school children and this effect was modified by birthweight, parental BMI, and parental involvement. A minority of metabolic risk reduction was mediated through BMI. Clinical Trial Registry number and website: ChiCTR-PRC-09000402, URL: http://www.chictr.org.cn.

Predictors of Developmental Patterns of Obesity in Young Children

Introduction: The current study characterizes longitudinal patterns in obesity in young children and their prediction from developmental programming and social determinant hypotheses. Materials and Methods: The data are based on the Family Life Project, a prospective longitudinal study of 1,292 families recruited from low-income, racially diverse, rural communities in Pennsylvania, and North Carolina. Pre-natal, peri-natal, and post-natal risks for childhood obesity were collected from 2 months of age; in-person assessments of child growth were used to identity obesity on multiple occasions from 24 to 90 months of age. Results: Two major novel findings emerged. First, longitudinal analyses identified four distinct obesity development profiles: stable obesity, later-onset obesity, moderate/declining obesity, and non-obese; these groups had distinct risk profiles. Second, prediction analyses favored developmental programming explanations for obesity, including evidence even in early childhood that both low- and high birth weight was associated with stable obesity. There was no indication that pre- and peri-natal and post-natal factors predicted obesity differently in non-minority and minority children. Discussion: Factors derived from the developmental programming model of obesity overlapped with, but predicted early onset obesity independently from, risks associated with social determinant models of obesity.

A decade in female reproduction: an endocrine view of the past and into the future

Over the last decade, huge achievements have been made in the fields of neurophysiology, molecular endocrinology, and biochemistry, as well as in the successful translation of clinical research into diseases into clinical practice. As regards female reproduction, most of the advances made in this area were achieved in gonadal axis regulation, regulation of behavior through sex steroids, reproductive genetics, preservation of ovarian reproductive function, steroid profiling, and metabolic and overall reproductive outcomes. The coming years are expected to bring further understanding of the relationships between nutrition, energy metabolism, and reproductive function and to succeed in identifying new genetic markers linked to adverse metabolic and unfavorable cardiovascular outcomes in women. From our perspective, future research in the field of female reproduction should be directed toward doing research into genetic reproductive abnormalities and neuroendocrine diseases, pathophysiology, long-term health outcomes for oligo/amenorrhea, hyperandrogenism, and ovulatory dysfunction. It is additionally expected that a better understanding will be gained of the endocrinology of the placenta and of pregnancy, the role of the microbiome in female reproduction, the role of insulin sensitizers, anti-obesity and anti-diabetic drugs, and various advances in the prevention of ovarian damage caused by various oncology therapies, while new therapeutic options for the treatment of infertility, including kisspeptin, will be developed.