Maternal body size prior to pregnancy, gestational diabetes and weight gain: associations with insulin resistance in children at 9-10 years

Influence of maternal characteristics and infant feeding patterns on infant growth from birth till 18 months: The MISC study

BACKGROUND

The growth and development of infants during the first 1000 days of life are crucial for their health.

OBJECTIVES

This study aims to assess the impact of maternal characteristics and infant feeding patterns on infant growth from birth to 18 months.

METHODS

Data were derived from the 2-year perspective Mother Infant Study Cohort (MISC) study which included six visits from the third trimester of pregnancy until 18 months postpartum. A convenient sample of 256 pregnant women aged 19-40 years was recruited from Sharjah, Dubai and Ajman in the United Arab Emirates.

RESULTS

Amongst mothers' characteristics, Arab nationality, pre-pregnancy overweight/obesity, higher gestational weight gain and lower physical activity were found to increase the likelihood of infants being overweight at 6, 12 and 18 months. Exclusive breastfeeding was positively correlated with reduced odds of the infant being overweight at 18 months (aOR = 0.31, 95% CI: 0.12-0.81). Breastfeeding for up to 6 months and the introduction of solid foods after 6 months was associated with reduced odds of the infant being overweight at 12 months old (aOR = 4, 95% CI: 1.1-14.6; aOR = 2.97, 95% CI: 1.09-8.08, respectively).

CONCLUSION

The findings spotlight the influence of maternal characteristics and infant feeding on infant growth. This asserts the need for evidence-based programmes targeting mothers to promote optimal feeding practices and foster healthy child growth.

Programming by maternal obesity: a pathway to poor cardiometabolic health in the offspring

There is an ever increasing prevalence of maternal obesity worldwide such that in many populations over half of women enter pregnancy either overweight or obese. This review aims to summarise the impact of maternal obesity on offspring cardiometabolic outcomes. Maternal obesity is associated with increased risk of adverse maternal and pregnancy outcomes. However, beyond this exposure to maternal obesity during development also increases the risk of her offspring developing long-term adverse cardiometabolic outcomes throughout their adult life. Both human studies and those in experimental animal models have shown that maternal obesity can programme increased risk of offspring developing obesity and adipose tissue dysfunction; type 2 diabetes with peripheral insulin resistance and β-cell dysfunction; CVD with impaired cardiac structure and function and hypertension via impaired vascular and kidney function. As female offspring themselves are therefore likely to enter pregnancy with poor cardiometabolic health this can lead to an inter-generational cycle perpetuating the transmission of poor cardiometabolic health across generations. Maternal exercise interventions have the potential to mitigate some of the adverse effects of maternal obesity on offspring health, although further studies into long-term outcomes and how these translate to a clinical context are still required.

Contributions of Prenatal Exposures and Child Lifestyle to Insulin Sensitivity

CONTEXT

Prenatal exposures and lifestyle factors are important for metabolic health.

OBJECTIVE

Determine how prenatal exposures to maternal obesity and/or gestational diabetes mellitus (GDM) and childhood lifestyle factors independently contribute to child insulin sensitivity.

DESIGN AND PARTICIPANTS

Ninety children aged 7 to 11 years (56% girls, 60% exposed to GDM), born at Kaiser-Permanente Southern California, completed an oral glucose tolerance test (OGTT) as part of the BrainChild Study. Matsuda insulin sensitivity index (ISI) was used to estimate insulin sensitivity. Participants completed two 24-hour dietary recalls, and daily energy intake (EI), dietary added sugar, and total sugar were calculated. The 3-day physical activity recall determined the average minutes per day of moderate to vigorous physical activity (MVPA) and the average minutes per day spent sedentary. Maternal prepregnancy body mass index (BMI) and GDM status were extracted from electronic medical records.

MAIN OUTCOME MEASURE

Matsuda-ISI.

RESULTS

Linear regression showed that children who spent more time in MVPA had better ISI (β = 0.33; P = 0.001), and results remained after adjustment for maternal prepregnancy BMI, GDM exposure, child age, sex, daily EI, dietary added sugar (β = 0.34; P = 0.001), and further adjustment for child adiposity (β = 0.29; P = 0.001). Time spent sedentary, maternal prepregnancy BMI, GDM exposure, dietary added sugar, total sugar, and EI were not associated with ISI.

CONCLUSIONS

Physical activity was the only predictor of ISI at this age, suggesting that engaging in physical activity during childhood is beneficial for insulin sensitivity and may ameliorate future risk for metabolic disease.

Maternal overnutrition impairs offspring's insulin sensitivity: A systematic review and meta-analysis

This systematic review and meta‐analysis aimed to investigate the association between maternal overnutrition and offspring's insulin sensitivity—following the Preferred Reporting Items for Systematic Reviews and Meta‐analyses statement. Studies published in English before April 22, 2019, were identified through searches of four medical databases. After selection, 15 studies aiming to explore the association between prepregnancy body mass index (ppBMI) or gestational weight gain (GWG) of non‐diabetic mothers and their offspring's insulin sensitivity (fasting insulin or glucose level and Homeostatic Measurement Assessment for Insulin Resistance [HOMA‐IR]) were included in the meta‐analysis. Associations of ppBMI and GWG with offspring's insulin sensitivity were analysed by pooling regression coefficients or standardized differences in means with 95% confidence intervals (CIs). Maternal ppBMI showed significant positive correlations with the level of both fasting insulin and HOMA‐IR in offspring (standardized regression coefficient for fasting insulin: 0.107, CI [0.053, 0.160], p < 0.001 and that for HOMA‐IR: 0.063, CI [0.006, 0.121], p = 0.031). However, the result of the analysis on coefficients adjusted for offspring's actual anthropometry (BMI and adiposity) was not significant. Independent from ppBMI, GWG tended to show a positive correlation with insulin level, but not after adjustment for offspring's anthropometry. Offspring of mothers with excessive GWG showed significantly higher HOMA‐IR than those of mothers with optimal GWG (p = 0.004). Our results demonstrate that both higher ppBMI and GWG increase the risk of offspring's insulin resistance, but the effect of ppBMI on insulin sensitivity in offspring may develop as consequence of their adiposity.

Soy consumption and incidence of gestational diabetes mellitus: the Japan Environment and Children's Study

BACKGROUND

Intervention studies have shown that isoflavone treatment improved glucose metabolism, indicating that soy intake may have a potential role in diabetes prevention.

OBJECTIVES

We aimed to investigate the prospective association of soy isoflavone and soy food intakes with incidence of gestational diabetes mellitus (GDM) in a birth cohort study.

METHODS

We recruited 97,454 pregnant women (median gestational age 12 weeks) between January 2011 and March 2014. Dietary intakes during the 12 months preceding study enrollment were assessed by a semi-quantitative food frequency questionnaire. The relative risks of GDM associated with soy isoflavone and soy food intakes were obtained by Poisson regression. Demographic information, histories of diseases, socioeconomic status, lifestyles, and dietary habits, obtained by a self-administrated questionnaire, were used for covariate adjustments.

RESULTS

We identified 1904 cases of GDM (2.2%) among 84,948 women. Compared with those in the lowest quintile of soy isoflavone intake, women in the highest quintile were found to have experienced a significantly lower risk of GDM (multivariate relative risk = 0.82; 95% confidence interval: 0.70, 0.95; P for trend = 0.05). Similar results were observed for genistein and daidzein. Regarding soy foods, intakes of miso soup and natto were inversely associated with GDM incidence (both P for trend ≤ 0.01), whereas the association for tofu intake appeared to be nonlinear (P for trend = 0.74).

CONCLUSIONS

Higher intakes of miso soup and natto before and during early pregnancy, compared with lower intakes, may be associated with a lower incidence of GDM.

Effects of Overweight and Obesity in Pregnancy on Health of the Offspring

Overweight and obesity in pregnancy confer a wide range of risks on mother, fetus, and offspring throughout their lives. In addition to compounding many common pregnancy complications, including both iatrogenic preterm delivery and cesarean delivery, obesity is associated with multiple fetal anomalies, metabolic sequelae including diabetes and obesity, allergy and asthma, attention-deficit disorder, and likely many other challenges for the offspring. As targeted interventions are being developed, encouraging solid nutrition and exercise in women of childbearing age may stave off risks and mitigate obesity in the next generation.

Self-Reported Eating Speed and Incidence of Gestational Diabetes Mellitus: the Japan Environment and Children's Study

There is little evidence linking eating speed to gestational diabetes mellitus (GDM) incidence. We therefore aimed to evaluate the prospective association of eating speed with GDM incidence. Overall, 97,454 pregnant women were recruited between January 2011 and March 2014. Singleton pregnant women who did not have GDM, heart disease, stroke, cancer, type 1 diabetes, and/or type 2 diabetes at the time of study enrollment were eligible. Each woman was asked about her eating speed at that time via a questionnaire. Odds ratios of GDM in relation to eating speed were obtained using logistic regression. Among the 84,811 women eligible for analysis, 1902 cases of GDM were identified in medical records. Compared with women who reported slow eating speed, the age-adjusted odds ratios (95% confidence interval) of GDM for women who reported medium, relatively fast, or very fast eating speed were 1.03 (0.90, 1.18), 1.07 (0.94, 1.23), and 1.28 (1.05, 1.58), respectively. Adjustment for demographic, lifestyle-related, and dietary factors including dietary fat, dietary fiber, and energy intakes yielded similar results. The association was attenuated and no longer significant after further adjustment for pre-pregnancy body mass index. The mediation analysis showed that being overweight accounted for 64% of the excess risk of GDM associated with eating speed. In conclusion, women who reported very fast eating speed, compared with those reporting slow eating speed, were associated with an increased incidence of GDM, which may be largely mediated by increased body fat.

Maternal stressors and the developmental origins of neuropsychiatric risk

The maternal environment during pregnancy is critical for fetal development and perinatal perturbations can prime offspring disease risk. Here, we briefly review evidence linking two well-characterized maternal stressors - psychosocial stress and infection - to increased neuropsychiatric risk in offspring. In the current climate of increasing obesity and globalization of the Western-style diet, maternal overnutrition emerges as a pressing public health concern. We focus our attention on recent epidemiological and animal model evidence showing that, like psychosocial stress and infection, maternal overnutrition can also increase offspring neuropsychiatric risk. Using lessons learned from the psychosocial stress and infection literature, we discuss how altered maternal and placental physiology in the setting of overnutrition may contribute to abnormal fetal development and resulting neuropsychiatric outcomes. A better understanding of converging pathophysiological pathways shared between stressors may enable development of interventions against neuropsychiatric illnesses that may be beneficial across stressors.

Skipping breakfast before and during early pregnancy and incidence of gestational diabetes mellitus: the Japan Environment and Children's Study

BACKGROUND

There is little evidence linking breakfast skipping to the incidence of gestational diabetes mellitus (GDM).

OBJECTIVES

We aimed to evaluate the prospective association of breakfast consumption with the incidence of GDM.

METHODS

A total of 103,099 pregnancies were registered during study enrollment (January 2011 to March 2014), involving 97,454 pregnant women from 15 areas across Japan. Singleton pregnant women free of GDM, stroke, heart disease, cancer, and type 1 or type 2 diabetes at the study enrollment were eligible for analysis. We used a self-administered questionnaire to obtain data on demographic information, socioeconomic status, self-rated health status, disease history, lifestyle, and dietary habits of each woman at study enrollment. A semiquantitative FFQ was used for dietary assessment. We used logistic regression to obtain the OR of GDM in relation to breakfast consumption.

RESULTS

Among 84,669 pregnant women for analysis, 1935 cases of GDM were documented. After adjustment for potential confounding factors including prepregnancy BMI, the multivariable-adjusted ORs of GDM for women who consumed breakfast 5-6 times/wk, 3-4 times/wk, and 0-2 times/wk were 1.09 (95% CI: 0.93, 1.27), 1.14 (95% CI: 0.96, 1.34), and 1.21 (95% CI: 1.05, 1.41), respectively, compared with daily breakfast eaters. The association appeared to be dose dependent (P-trend = 0.006) and was not significantly modified by prepregnancy BMI.

CONCLUSIONS

Breakfast consumption <3 times/wk before and during early pregnancy, compared with daily consumption, was associated with an increased odds of developing GDM.

Sex differences in the association between prenatal exposure to maternal obesity and hippocampal volume in children

INTRODUCTION

Animal studies have shown that male but not female offspring exposed to maternal obesity have abnormal hippocampal development. Similar sex differences were observed in animal models of developmental programming by prenatal stress or maternal diabetes. We aimed to translate this work into humans by examining sex-specific effects of exposure to maternal obesity on hippocampal volume in children.

METHODS

Eighty-eight children (37 boys and 51 girls) aged 7-11 years completed the study. Maternal prepregnancy body mass index (BMI) was obtained from electronic medical records. A high-resolution anatomical scan was performed using a 3-Tesla magnetic resonance imaging (MRI) scanner. Total hippocampal volume and hippocampal subfield volumes were analyzed using FreeSurfer 6.0. Linear regression was used to investigate sex differences in relationships between maternal prepregnancy BMI and child hippocampal volume.

RESULTS

Maternal prepregnancy BMI ranged from 19.0 to 50.4 kg/m² . We observed a significant interaction between maternal prepregnancy BMI and sex on total hippocampal volume (p < .001) such that boys (r = -.39, p = .018) but not girls (r = .11, p = .45) had a significant negative relationship between maternal prepregnancy BMI and total hippocampal volume. This relationship in boys remained significant after adjusting for child and maternal covariates (β = -126.98, p = .012). The sex interactions with prepregnancy BMI were consistently observed in hippocampal subfields CA1 (p = .008), CA2/3 (p = .016), CA4 (p = .002), dentate gyrus (p < .001), and subiculum (p < .001).

CONCLUSIONS

Our results support findings in animal models and suggest that boys may be more vulnerable to the adverse effects of exposure to maternal obesity on hippocampal development than girls.

Depression and risk of gestational diabetes: A meta-analysis of cohort studies

AIMS

To systematically assess the association between depression and risk of gestational diabetes by a meta-analysis of cohort studies.

METHODS

We searched multiple electronic databases for cohort studies investigating depression and risk of gestational diabetes before December 31th, 2018. Pooled odds ratios (ORs) and confidence intervals (CIs) of the included articles were calculated using a fixed- or random-effect model. Publication bias was detected using the Egger's and Begg's tests.

RESULTS

We obtained 5 cohort studies with a total number of 122,197 women. Women with a history of depression compared with those without it had a significantly increased risk of gestational diabetes (pooled OR = 1.20, 95% CI: 1.09, 1.33) but borderline significant evidence of heterogeneity was observed (I² = 45.1%, P for heterogeneity = 0.12). Subgroup analysis by study design showed a stronger association in prospective cohort studies than that in retrospective cohort studies (pooled OR: 1.61 [1.17, 2.21] vs. 1.16 [1.05, 1.29]), though the difference was not statistically significant (P for interaction = 0.26). We observed some evidence of publication bias; however, correction for such bias using "trim-and-fill" analysis yielded similar results.

CONCLUSION

Women with a history of depression may be at an increased risk of gestational diabetes. Future prospective studies of high quality are needed to confirm our findings.

Maternal height and risk of gestational diabetes: a systematic review and meta-analysis

AIMS

Identifying women at high risk of developing gestational diabetes mellitus (GDM) is a public health interest. This study aims to investigate the association between maternal height and risk of GDM through meta-analysis.

METHODS

We retrieved the studies that assessed maternal height in relation to GDM. Pooled risk estimates of the included articles and their 95% confidence intervals (95% CIs) were calculated using a fixed- or random-effects model. Subgroup analyses were conducted according to study design and study location. Quality of studies was determined using the Newcastle-Ottawa Scale. Publication bias was detected using the Egger's and Begg's tests.

RESULTS

A total of 10 studies including 7 cohort and 3 cross-sectional studies with a total of 126,094 women were included for meta-analysis. Combined, each 5-cm increase in height was associated with about 20% reduction in risk of GDM [pooled odds ratio = 0.80, (95% CI 0.76, 0.85)]. The analysis revealed high heterogeneity between studies which dissolved after subgroup analysis by study design. This significant association did not differ between Asian and non-Asian populations. Egger's and Begg's tests showed little evidence of publication bias.

CONCLUSIONS

The present meta-analysis supports the conception that short stature is associated with GDM. Further studies of high quality are needed to confirm the findings.

The impact of maternal gestational weight gain on cardiometabolic risk factors in children

AIMS/HYPOTHESIS

Accumulating evidence suggests an impact of gestational weight gain (GWG) on pregnancy outcomes; however, data on cardiometabolic risk factors later in life have not been comprehensively studied. This study aimed to evaluate the relationship between GWG and cardiometabolic risk in offspring aged 7 years.

METHODS

We included a total of 905 mother-child pairs who enrolled in the follow-up visit of the multicentre Hyperglycemia and Adverse Pregnancy Outcome study, at the Hong Kong Centre. Women were classified as having gained weight below, within or exceeding the 2009 Institute of Medicine (IOM) guidelines. A standardised GWG according to pre-pregnancy BMI categories was calculated to explore for any quadratic relationship.

RESULTS

Independent of pre-pregnancy BMI, gestational hyperglycaemia and other confounders, women who gained more weight than the IOM recommendations had offspring with a larger body size and increased odds of adiposity, hypertension and insulin resistance (range of p values of all the traits: 4.6 × 10-9 < p < 0.0390) than women who were within the recommended range of weight gain during pregnancy. Meanwhile, women who gained less weight than outlined in the recommendations had offspring with increased risks of hypertension and insulin resistance, compared with those who gained weight within the recommended range (7.9 × 10-3 < p < 0.0477). Quadratic relationships for diastolic blood pressure, AUC for insulin, pancreatic beta cell function and insulin sensitivity index were confirmed in the analysis of standardised GWG (1.4 × 10-3 < pquadratic < 0.0282). Further adjustment for current BMI noticeably attenuated the observed associations.

CONCLUSIONS/INTERPRETATION

Both excessive and inadequate GWG have independent and significant impacts on childhood adiposity, hypertension and insulin resistance. Our findings support the notion that adverse intrauterine exposures are associated with persistent cardiometabolic risk in the offspring.

Maternal obesity as a risk factor for early childhood type 1 diabetes: a nationwide, prospective, population-based case-control study

AIMS/HYPOTHESIS

Genetic and environmental factors are believed to cause type 1 diabetes. The aim of this study was to investigate the influence of maternal BMI and gestational weight gain on the subsequent risk of childhood type 1 diabetes.

METHODS

Children in the Swedish National Quality Register for Diabetes in Children were matched with control children from the Swedish Medical Birth Register. Children were included whose mothers had data available on BMI in early pregnancy and gestational weight gain, giving a total of 16,179 individuals: 3231 children with type 1 diabetes and 12,948 control children.

RESULTS

Mothers of children with type 1 diabetes were more likely to be obese (9% [n = 292/3231] vs 7.7% [n = 991/12,948]; p = 0.02) and/or have diabetes themselves (2.8% [n = 90/3231] vs 0.8% [n = 108/12,948]; p < 0.001) compared with mothers of control children. Gestational weight gain did not differ significantly between the two groups of mothers. In mothers without diabetes, maternal obesity was a significant risk factor for type 1 diabetes in the offspring (p = 0.04). A child had an increased risk of developing type 1 diabetes if the mother had been obese in early pregnancy (crude OR 1.20; 95% CI 1.05, 1.38; adjusted OR 1.18; 95% CI 1.02, 1.36). Among children with type 1 diabetes (n = 3231) there was a difference (p < 0.001) in age at onset in relation to the mother's BMI. Among children in the oldest age group (15-19 years), there were more mothers who had been underweight during pregnancy, while in the youngest age group (0-4 years) the pattern was reversed.

CONCLUSIONS/INTERPRETATION

Maternal obesity, in the absence of maternal diabetes, is a risk factor for type 1 diabetes in the offspring, and influences the age of onset of type 1 diabetes. This emphasises the importance of a normal maternal BMI to potentially decrease the incidence of type 1 diabetes.

Fetal overnutrition and offspring insulin resistance and β-cell function: the Exploring Perinatal Outcomes among Children (EPOCH) study

AIMS

To examine the associations of intrauterine exposure to maternal diabetes and obesity with offspring insulin resistance, β-cell function and oral disposition index in a longitudinal observational study of ethnically diverse offspring.

METHODS

A total of 445 offspring who were exposed (n=81) or not exposed (n=364) to maternal diabetes in utero completed two fasting blood measurements at mean (sd) ages of 10.5 (1.5) and 16.5 (1.2) years, respectively, and an oral glucose tolerance test at the second visit. We used linear mixed models and general linear univariate models to evaluate the associations of maternal diabetes and pre-pregnancy BMI with offspring outcomes.

RESULTS

Maternal diabetes in utero predicted increased insulin resistance [18% higher updated homeostatic model assessment of insulin resistance (HOMA2-IR), P=0.01; 19% lower Matsuda index, P=0.01 and 9% greater updated homeostatic model assessment of β-cell function (HOMA2-β), P=0.04]. Each 5-kg/m² increase in pre-pregnancy BMI predicted increased insulin resistance (11% greater HOMA2-IR, P<0.001; 10% lower Matsuda index, P<0.001; 6% greater HOMA2-β, P<0.001). Similar results were obtained in a combined model with both exposures. After adjustment for offspring BMI, only maternal diabetes was associated with higher HOMA2-IR (β=1.12, P=0.03) and lower Matsuda index (β=0.83, P=0.01). Neither exposure was associated with early insulin response or oral disposition index.

CONCLUSIONS

Intrauterine exposure to diabetes or obesity is associated with greater offspring insulin resistance than non-exposure, supporting the hypothesis that fetal overnutrition results in metabolic abnormalities during childhood and adolescence.

Maternal obese-type gut microbiota differentially impact cognition, anxiety and compulsive behavior in male and female offspring in mice

Maternal obesity is known to predispose offspring to metabolic and neurodevelopmental abnormalities. While the mechanisms underlying these phenomena are unclear, high fat diets dramatically alter intestinal microbiota, and gut microbiota can impact physiological function. To determine if maternal diet-induced gut dysbiosis can disrupt offspring neurobehavioral function, we transplanted high fat diet- (HFD) or control low fat diet-associated (CD) gut microbiota to conventionally-housed female mice. Recipient mice were then bred and the behavioral phenotype of male and female offspring was tracked. While maternal behavior was unaffected, neonatal offspring from HFD dams vocalized less upon maternal separation than pups from CD dams. Furthermore, weaned male offspring from HFD dams had significant and selective disruptions in exploratory, cognitive, and stereotypical/compulsive behavior compared to male offspring from CD dams; while female offspring from HFD dams had increases in body weight and adiposity. 16S metagenomic analyses confirmed establishment of divergent microbiota in CD and HFD dams, with alterations in diversity and taxonomic distribution throughout pregnancy and lactation. Likewise, significant alterations in gut microbial diversity and distribution were noted in offspring from HFD dams compared to CD dams, and in males compared to females. Regression analyses of behavioral performance against differentially represented taxa suggest that decreased representation of specific members of the Firmicutes phylum predict behavioral decline in male offspring. Collectively, these data establish that high fat diet-induced maternal dysbiosis is sufficient to disrupt behavioral function in murine offspring in a sex-specific manner. Thus these data reinforce the essential link between maternal diet and neurologic programming in offspring and suggest that intestinal dysbiosis could link unhealthy modern diets to the increased prevalence of neurodevelopmental and childhood disorders.

The early origins of obesity and insulin resistance: timing, programming and mechanisms

Maternal obesity is associated with an increased risk of developing gestational diabetes mellitus and it also results in an increased risk of giving birth to a large baby with increased fat mass. Furthermore, it is also contributes to an increased risk of obesity and insulin resistance in the offspring in childhood, adolescence and adult life. It has been proposed that exposure to maternal obesity may therefore result in an 'intergenerational cycle' of obesity and insulin resistance. There is significant interest in whether exposure to maternal obesity around the time of conception alone contributes directly to poor metabolic outcomes in the offspring and whether dieting in the obese mother before pregnancy or around the time of conception has metabolic benefits for the offspring. This review focusses on experimental and clinical studies that have investigated the specific impact of exposure to maternal obesity during the periconceptional period alone or extending beyond conception on adipogenesis, lipogenesis and on insulin signalling pathways in the fat, liver and muscle of the offspring. Findings from these studies highlight the need for a better evidence base for the development of dietary interventions in obese women before pregnancy and around the time of conception to maximize the metabolic benefits and minimize the metabolic costs for the next generation.

Research Priorities for Fertility and Conception Research as Identified by Multidisciplinary Health Care Practitioners and Researchers

The Robinson Research Institute of the University of Adelaide convened a multidisciplinary group of n = 33 clinicians, researchers and representatives of government organisations on the 2 October 2014 for a workshop entitled “Promoting fertility and healthy conception. How do we generate greater reproductive health awareness?” The key aim of the workshop was to assess the body of knowledge that informs clinical practice and government policy, and to identify questions and additional information needed by health practitioners and government representatives working in the field of reproductive health and to frame future research and policy. The workshop identified topics that fell mostly into three categories: lifestyle-related, societal and biological factors. The lifestyle topics included nutrition and diet, exercise, obesity, shift work and other factors deemed to be modifiable at the level of the individual. The societal topics included discussions of matters that are structural, and resistant to change by individuals, including specific ethical issues, social disadvantage, government and educational policies. The biological factors are intrinsic physical states of the individual, and included many factors where there is a dense body of scientific knowledge which may not be readily accessible in less academic language. This workshop thus provided an opportunity to identify further actions that could be undertaken to meet the needs of diverse organisations and groups of professionals with an interest in human fertility. Since so many factors in our social and biological environment can impact fertility and preconception health, it is imperative to involve many disciplines or levels of government or societal organisations that have not traditionally been involved in this area.

The role of maternal obesity in the risk of neuropsychiatric disorders

Recent evidence indicates that perinatal exposure to maternal obesity, metabolic disease, including diabetes and hypertension, and unhealthy maternal diet has a long-term impact on offspring behavior and physiology. During the past three decades, the prevalence of both obesity and neuropsychiatric disorders has rapidly increased. Epidemiologic studies provide evidence that maternal obesity and metabolic complications increase the risk of attention deficit hyperactivity disorder (ADHD), autism spectrum disorders, anxiety, depression, schizophrenia, eating disorders (food addiction, anorexia nervosa, and bulimia nervosa), and impairments in cognition in offspring. Animal models of maternal high-fat diet (HFD) induced obesity also document persistent changes in offspring behavior and impairments in critical neural circuitry. Animals exposed to maternal obesity and HFD consumption display hyperactivity, impairments in social behavior, increased anxiety-like and depressive-like behaviors, substance addiction, food addiction, and diminished cognition. During development, these offspring are exposed to elevated levels of nutrients (fatty acids, glucose), hormones (leptin, insulin), and inflammatory factors (C-reactive protein, interleukin, and tumor necrosis factor). Such factors appear to permanently change neuroendocrine regulation and brain development in offspring. In addition, inflammation of the offspring brain during gestation impairs the development of neural pathways critical in the regulation of behavior, such as serotoninergic, dopaminergic, and melanocortinergic systems. Dysregulation of these circuits increases the risk of mental health disorders. Given the high rates of obesity in most developed nations, it is critical that the mechanisms by which maternal obesity programs offspring behavior are thoroughly characterized. Such knowledge will be critical in the development of preventative strategies and therapeutic interventions.