scholarly journals Elevated Anthropometric and Metabolic Indicators among Young Adult Offspring of Mothers with Pregestational Diabetes: Early Results from the Transgenerational Effect on Adult Morbidity Study (the TEAM Study)

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Katherine Bowers ◽  
Shelley Ehrlich ◽  
Lawrence M. Dolan ◽  
Resmi Gupta ◽  
Mekibib Altaye ◽  
...  

Exposure to maternal diabetes in utero increases the risk in the offspring for a range of metabolic disturbances. However, the timing and variability of in utero hyperglycemic exposure necessary to cause impairment have not been elucidated. The TEAM Study was initiated to evaluate young adult offspring of mothers with pregestational diabetes mellitus. This paper outlines the unique enrollment challenges of the TEAM Study and preliminary analysis of the association between exposure to diabetes in pregnancy and adverse metabolic outcomes. The TEAM Study enrolls offspring of women who participated in a Diabetes in Pregnancy (DiP) Program Project Grant between 1978 and 1995. The DiP Study collected medical and obstetric data across pregnancy. The first 96 eligible offspring of women with pregestational diabetes were age-, sex-, and race-matched to adults from the National Health and Nutrition Examination Survey (NHANES) 2015-2016 with an OGTT. Descriptive and regression analyses were employed to compare TEAM participants to NHANES participants. Among a subset of TEAM participants, we compared the metabolic outcomes across maternal glucose profiles using a longitudinal data clustering technique that characterizes level and variability, in maternal glucose across pregnancy. By comparing categories of BMI, TEAM Study participants had over 2.0 times the odds of being obese compared to matched NHANES participants (for class III obesity, OR = 2.81 ; 95% confidence interval (CI): 1.15, 6.87). Increasing levels of two-hour glucose were also associated with in utero exposure to pregestational diabetes in matched analyses. Exposure to pregestational diabetes in utero may be associated with an increased risk of metabolic impairment in the offspring with clinical implications.

Author(s):  
Prachi Dhale ◽  
Pragati Dhawale ◽  
Amrin Dosani ◽  
Gaurav Dongare ◽  
Bali Thool

Introduction: Gestational diabetes mellitus (GDM) is diagnosed by elevated blood glucose in pregnancy though the definition has changed repeatedly since its first description in the 1960’s. The most frequently reported perinatal consequence of GDM is macrosomia (usually defined as a neonate weighing over 4 kg) which can increase the risk of caesarean section and shoulder dystocia. For the mother, there are also potential longer-term consequences including an increased risk of type 2 diabetes post-pregnancy and/or in later life. The investigators of a large international Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study aimed to identify a cut-point in the continuum to decide the blood glucose level (BGL) thresholds that should be used to define GDM. Objective: To assess the incidence rate of gestational diabetes in pregnancy among the elderly primi mother. To assess the health seeking behavior of gestational diabetes in elderlyprimimothers.  To associate the demographic variables of gestational diabetes in elderly primi mothers. Materials and Methods: A Descriptive research study was to assess the incidence and Health seeking behavior of gestational diabetes in pregnancy among the elderly primi mother. The target population for the study includes all antenatal women (12-36 weeks of gestation) who attend the antenatal clinics of AVBRH Out Patient Department. Sample consists of sub set of units that compose accessible population. In this study sample size was 100 elderly primi mother of selected area of community of Wardha. A tool is an instrument or equipment used for collection of data. A blue print was prepared prior to the construction of knowledge questionnaire based on which items were developed. Results: A finding shows that (41%) were having good, (40%) were having very good, (17%) were having average and (2%) were having excellent knowledge score. The minimum score was 05 and maximum score was 14, the mean score for the test was 8.93 ± 2.23 and mean percentage of knowledge was 59.54%. There was no significant association in relation to age, education, occupation, No.of gravida, income etc.


Author(s):  
Kai Wei Lee ◽  
Siew Mooi Ching ◽  
Navin Kumar Devaraj ◽  
Seng Choi Chong ◽  
Sook Yee Lim ◽  
...  

Previous literature has reported that patients with diabetes in pregnancy (DIP) are at risk of developing antepartum depression but the results have been inconsistent in cohort studies. We conducted a systematic review and performed a meta-analysis to quantify the association between DIP and risk of antepartum depression in cohort studies. Medline, Cinahl, and PubMed databases were searched for studies investigating DIP involving pregnant women with pre-existing diabetes and gestational diabetes mellitus and their risk of antepartum depression that were published in journals from inception to 27 December 2019. We derived the summary estimates using a random-effects model and reported the findings as pooled relative risks (RR) and confidence interval (CI). Publication bias was assessed using a funnel plot and was quantified by Egger and Begg’s tests. Ten studies, involving 71,036 pregnant women were included in this meta-analysis. The pooled RR to develop antepartum depression was (RR = 1.430, 95% CI: 1.251–1.636) among women with gestational diabetes mellitus. Combining pregnant women with pre-existing diabetes mellitus and gestational diabetes mellitus, they had a significant increased risk of developing antepartum depression (RR = 1.431, 95% CI: 1.205–1.699) compared with those without it. In comparison, we found no association between pre-existing diabetes mellitus in pregnancy (RR = 1.300, 95% CI: 0.736–2.297) and the risk of developing antepartum depression. This study has a few limitations: first, different questionnaire and cut-off points were used in evaluation of depression across the studies. Second, there was a lack of data on history of depression prior to pregnancy, which lead to confounding bias that could not be solved by this meta-analysis. Third, data were dominated by studies in Western countries; this is due to the studies from Eastern countries failing to meet our inclusion criteria for statistical analysis. Women with gestational diabetes mellitus have an increased risk of developing antepartum depression compared to those without the disease. Therefore, more attention on the mental health status should be given on pregnant women diagnosed with pre-existing diabetes mellitus and gestational diabetes mellitus.


Author(s):  
Claire L Meek

Despite recent advances in care, women with diabetes in pregnancy are still at increased risk of multiple pregnancy complications. Offspring exposed to hyperglycaemia in utero also experience long-term health sequelae affecting neurocognitive and cardiometabolic status. Many of these adverse consequences can be prevented or ameliorated with good medical care, specifically to optimise glycaemic control. The accurate assessment of glycaemia in pregnancy is therefore vital to safeguard the health of mother and child. However, there is no consensus about the best method of monitoring glycaemic control in pregnancy. Short-term changes in insulin dosage and lifestyle, with altered appetite, insulin sensitivity and red cell turnover create difficulties in interpretation of standard laboratory measures such as HbA1c. The ideal marker would provide short-term feedback on daily or weekly glycaemic control, with additional capability to predict pregnancies at high risk of suboptimal outcomes. Several novel biochemical markers are available which allow assessment of dynamic changes in glycaemia over weeks rather than months. Continuous glucose monitoring devices have advanced in accuracy and provide new opportunities for robust assessment of glycaemia in pregnancy. Recent work from the continuous glucose monitoring in pregnant women with type 1 diabetes trial (CONCEPTT) has provided information about the ability of different markers of glycaemia to predict pregnancy outcomes. The aim of this review is to summarise the care for women with pre-existing diabetes in pregnancy, and to highlight the important role of glycaemic monitoring in pregnancy.


2021 ◽  
Vol 18 ◽  
Author(s):  
Farah Jaffar ◽  
Kate Laycock ◽  
Mohammed S.B. Huda

Background: Pre-gestational diabetes can pose significant risk to the mother and infant, thus requiring careful counselling and management. Since Saint Vincent’s declaration in 1989, adverse maternal and fetal outcomes, such as preeclampsia, perinatal mortality, congenital anomalies, and macrosomia, continue to be associated with type 1 diabetes. Although pregnancy is not considered an independent risk factor for the development of new onset microvascular complications, it is known to exacerbate pre-existing microvascular disease. Strict glycaemic control is the optimal management for pre-existing type 1 diabetes in pregnancy, as raised HbA1C is associated with increased risk of maternal and fetal complications. More recently, time in range on Continuous Glucose Monitoring glucose profiles has emerged as another useful evidence-based marker of fetal outcomes. Objective: This review summarises the complications associated with pre-gestational type 1 diabetes, appropriate evidence-based management, including preparing for pregnancy, intrapartum and postpartum care. Methods: A structured search of the PubMed and Cochrane databases was conducted. Peer-reviewed articles about complications and management guidelines on pre-gestational type 1 diabetes were selected and critically appraised. Results: One hundred and twenty-three manuscripts were referenced and appraised in this review, and international guidelines were summarised. Conclusion: This review provides a comprehensive overview of the recurring themes in the literature pertaining to type 1 diabetes in pregnancy: maternal and fetal complications, microvascular disease progression, and an overview of current guideline-specific management.


2004 ◽  
Vol 35 (3) ◽  
pp. 353-365 ◽  
Author(s):  
DANIEL N. KLEIN ◽  
PETER M. LEWINSOHN ◽  
PAUL ROHDE ◽  
JOHN R. SEELEY ◽  
THOMAS M. OLINO

Background. There is a large literature indicating that the offspring of mothers with Major Depressive Disorder (MDD) are at increased risk for depression. However, much less is known about the effects of paternal MDD on offspring psychopathology.Method. We addressed this issue using a large community sample of parents and their adolescent and young adult offspring (n=775). Parents and offspring were independently assessed with semi-structured diagnostic interviews. Offspring were interviewed three times from mid-adolescence to age 24 years.Results. Maternal MDD was significantly associated with offspring MDD. Paternal MDD was also significantly associated with MDD in offspring, but only among offspring with depressive episodes of moderate or greater severity. These effects persisted after controlling for socio-economic status, family intactness, and non-mood disorders in both parents. Rates of MDD were particularly elevated in offspring of mothers and fathers with early-onset MDD, and offspring of fathers with recurrent MDD. The magnitude of the associations between MDD in parents and offspring was generally in the small-to-medium range.Conclusions. These results confirm previous findings of elevated risk of MDD in the offspring of depressed mothers. In addition, the results suggest that MDD in fathers is associated with increased risk of depression in offspring, but that it is limited to MDD episodes in offspring of moderate or greater severity.


PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0187038 ◽  
Author(s):  
Azadeh Houshmand-Oeregaard ◽  
Line Hjort ◽  
Louise Kelstrup ◽  
Ninna S. Hansen ◽  
Christa Broholm ◽  
...  

2020 ◽  
Author(s):  
Yanhong Jessika Hu ◽  
Jing Wang ◽  
Joseph Irvin Harwell ◽  
Melissa Wake

Abstract BackgroundMost prescribed medicines during pregnancy are antibiotics, with unknown effects on a foetus and on the infant’s acquired microbiome. This study investigates associations between in utero antibiotic exposure and ear infection trajectories over the first decade of life, hypothesising effects on early or persistent, rather than later-developing, ear infections.MethodsDesign & Participants: The Longitudinal Study of Australian Children (LSAC) birth cohort recruited a nationally-representative sample of 5107 infants in 2004. Measures: Mothers reported antibiotic use in pregnancy when a child was 3-21 months old (wave 1), and ongoing problems with ear infection every 2 years spanning ages 0-1 to 10-11 years (waves 1 to 6). Analysis: Latent class models identified ear infection trajectories, and univariable and multivariable multinomial logistic regression determined odds of adverse trajectories by antibiotic exposure. Results4500 (88.1% of original sample) children contributed (mean baseline age 0.7 years; 51.3% boys); 10.4% of mothers reported antibiotic use in pregnancy. Four probability trajectories for ear infection emerged: “consistently low” (86.2%), “moderate to low” (5.6%), “low to moderate” (6.7%) and “consistently high” (1.4%). Antibiotic use in pregnancy was associated with children following “consistently high” (aOR 2.06, 95% CI 1.09 to 3.91, p=0.03) and “moderate to low” (aOR 1.78, 95% CI 1.25 to 2.53, p=0.001) trajectories.ConclusionsAntibiotic use in pregnancy is associated with an increased risk of persistent and early childhood ear infections. This highlights the wisdom of cautious antibiotic use during pregnancy, and the need for study of potential mechanisms underlying these associations.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sakaewan Ounjaijean ◽  
Antika Wongthanee ◽  
Kanokwan Kulprachakarn ◽  
Amaraporn Rerkasem ◽  
Sakda Pruenglampoo ◽  
...  

Abstract 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.


Sign in / Sign up

Export Citation Format

Share Document