Birth weight predicts the risk of gestational diabetes mellitus and pregravid obesity

The effect of body mass index on neonatal outcomes in Chinese women with polycystic ovary syndrome

AIM

This study aimed to explore the effect of body mass index (BMI) on neonatal outcomes in patients with polycystic ovary syndrome following the frozen embryo transfer (FET).

METHODS

This study included 1,676 singletons born from mothers with polycystic ovary syndrome (PCOS) after FET between 1 Jan 2007 and 31 Dec 2019. BMI was categorized into three groups: underweight (BMI less than 18.5 kg/m2), normal weight (BMI between 18.5 and 24.9 kg/m2), and overweight (BMI between 25.0 and 29.9 kg/m2). Logistic regression models with generalized estimating equations were used for clustering by patients to explore the effect of BMI on neonatal outcomes.

RESULTS

When compared to normal-weight mothers, the rate of large for gestational age (LGA) babies (adjusted odds ratio [aOR] 0.45, 95% confidence interval [95%CI] 0.22-0.93) significantly decreased for underweight mothers and significantly increased (aOR 1.82, 95%CI 1.38-2.41) for overweight mothers. The rate of high birth weight among infants from overweight mothers (aOR 1.75, 95%CI 1.15-2.65) was significantly higher than those from normal-weight mothers after adjusting for known confounding factors. The rate of small for gestational age (SGA) singleton (aOR 2.37, 95%CI 1.14-4.93) was lower among underweight mothers than normal-weight mothers.

CONCLUSION

Maternal underweight was a significant protective factor against LGA infants for singletons born from patients with PCOS after FET, whereas maternal overweight was an adverse factor for LGA infants.

Maternal Early-Life Risk Factors and Later Gestational Diabetes Mellitus: A Cross-Sectional Analysis of the UAE Healthy Future Study (UAEHFS)

Limited studies have focused on maternal early-life risk factors and the later development of gestational diabetes mellitus (GDM). We aimed to estimate the GDM prevalence and examine the associations of maternal early-life risk factors, namely: maternal birthweight, parental smoking at birth, childhood urbanicity, ever-breastfed, parental education attainment, parental history of diabetes, childhood overall health, childhood body size, and childhood height, with later GDM. This was a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) baseline data (February 2016 to April 2022) on 702 ever-married women aged 18 to 67 years. We fitted a Poisson regression to estimate the risk ratio (RR) for later GDM and its 95% confidence interval (CI). The GDM prevalence was 5.1%. In the fully adjusted model, females with low birthweight were four times more likely (RR 4.04, 95% CI 1.36-12.0) and females with a parental history of diabetes were nearly three times more likely (RR 2.86, 95% CI 1.10-7.43) to report later GDM. In conclusion, maternal birthweight and parental history of diabetes were significantly associated with later GDM. Close glucose monitoring during pregnancy among females with either a low birth weight and/or parental history of diabetes might help to prevent GDM among this high-risk group.

Association of maternal pre-pregnancy body mass index with birth weight and preterm birth among singletons conceived after frozen-thawed embryo transfer

BACKGROUND

To explore the effect of pre-pregnancy body mass index (BMI) on neonatal outcomes among singletons born after frozen embryo transfer (FET).

METHODS

This large retrospective cohort study included 18,683 singleton infants born after FET during the period from Jan 1, 2007 to Dec 31, 2019. The main outcomes were large for gestational age (LGA) and preterm birth. Logistic regression models with generalized estimating equations for clustering by patients to estimate odds ratios of LGA and preterm birth.

RESULTS

Overweight was positively associated with LGA overall (adjusted OR 1.78 [95%CI 1.60-1.98]), and this association was consistent across age categories. The underweight was inversely associated with LGA among mothers younger than 35 years (adjusted OR 0.49 [95%CI 0.39-0.62] among mothers younger than 30 years; adjusted OR 0.47 [95%CI 0.37-0.60] among mothers aged 30-34 years), but this association was no significant among mothers 35 years or older. Overweight was positively and significantly associated with preterm birth overall (adjusted OR 1.52 [95%CI 1.30-1.77]) and consistently across age categories. The underweight mothers younger than 30 years had a decreased risk of preterm birth (adjusted OR 0.70 [95%CI 0.51-0.97]), but the underweight was no significantly associated with preterm birth among women aged 30 years of older.

CONCLUSIONS

The risks of LGA and preterm birth were increased in singletons born to overweight mothers, regardless of the maternal age. Underweight decreased the risk of LGA and preterm birth for younger mothers. These findings are important for providing preconceptional counseling to specifically targeted women at high risk of LGA and preterm birth.

Association between Maternal Birth Weight and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Background and Aims

Gestational diabetes mellitus is one of the most important issue related to health status of mothers and their children throughout life. This meta-analysis has been conducted to assess relationship between maternal birth weight and gestational diabetes.

Methods and Results

This article is written using PRISMA guideline for systematic review and meta-analysis. We searched epidemiological studies without a time limit from following databases-Scopus, PubMed, Science Direct, Embase, Web of Science, CINAHL, Cochrane, EBSCO, and Google Scholar search engine using MESH keywords. Heterogeneity was determined using the Cochran Q test and I ² index. Data were analyzed using comprehensive meta-analysis, version 2. The significance level of the tests was considered as P < 0.05.

Results

The result of combining ten studies with a sample size of 228,409 cases using a fixed-effect model showed that low maternal birth weight increased the risk of gestational diabetes mellitus (1.71 [95% CI 1.43-2.06, P < 0.001]). In addition, the result of combining nine studies with a sample size of 227,805 cases using a random-effects model showed that macrosomia did not increase the risk of gestational diabetes mellitus, and there was no significant relationship between them (1.04 [95% CI 0.79-1.38; p value: 0.730]).

Conclusion

The results of this systematic review and meta-analysis showed that low maternal birth weight could be a risk factor for gestational diabetes in adulthood.

Gestational diabetes mellitus in women born small or preterm: Systematic review and meta-analysis

PURPOSE

There is some evidence that women born preterm or with low birth weight (LBW) have an increased future risk of gestational diabetes mellitus (GDM) during pregnancy; however, a quantitative summary of evidence is lacking. In this systematic review and meta-analysis, we examined the published data to investigate whether being born preterm, with LBW or small for gestational age (SGA) are associated with GDM risk.

METHODS

We searched the MEDLINE, Embase, and CINAHL databases and study registries, including ClinicalTrials.gov and ICTRP, from launch until 29 October 2020. Observational studies examining the association between birth weight or gestational age and GDM were eligible. We pooled the odds ratios and 95% confidence intervals using the DerSimonian and Laird random-effects model.

RESULTS

Eighteen studies were included (N = 827,382). The meta-analysis showed that being born preterm, with LBW or SGA was associated with increased risk of GDM (pooled odds ratio = 1.84; 95% confidence interval: 1.54-2.20; I² = 78.3%; τ² = 0.07). Given a GDM prevalence of 2.0, 10, and 20%, the absolute risk differences were 1.6%, 7.0%, and 11.5%, respectively. The certainty of the evidence was low due to serious concerns of risk of bias and publication bias.

CONCLUSIONS

Women born prematurely, with LBW or SGA status, may be at increased risk for GDM. However, whether this should be considered in clinical decision-making depends on the prevalence of GDM.

Triceps skinfold thickness and body mass index and the risk of gestational diabetes mellitus: Evidence from a multigenerational cohort study

BACKGROUND

Pre-pregnancy obesity is a well-recognized risk factor for gestational diabetes mellitus (GDM). There is a continuity of obesity from childhood to adolescence and then adulthood. However, it is unknown whether early childhood obesity predicts GDM.

METHODS

We investigated the prospective association of childhood triceps skinfold thickness and body mass index (BMI) with GDM risk among women from the Mater-University of Queensland Study of Pregnancy (MUSP), a multigenerational cohort study. A multiple logistic regression model was applied to estimate the odds of experiencing GDM by childhood skinfold thickness and BMI.

RESULTS

Out of 552 women in the study for whom data were available on triceps skinfold thickness and BMI at average age 5 (range 3-7) years old, 52 (9.42%) developed GDM by average age 30 (range 28-33) years. We found that the risk of developing GDM was greater among women who had greater skinfold thickness but not greater BMI at age 5 years. Women who were classified as overweight or obese based on skinfold thickness at age 5 years had an increased odds ratio of GDM compared to women who had normal skinfold thickness. This association remained significant after adjustment for the potential confounders (OR 2.74; 95% confidence interval=1.28-5.86).

CONCLUSION

The risk of developing GDM was associated with higher skinfold thickness at age 5 years.

Association of prenatal sex steroid exposure estimated by the digit ratio (2D:4D) with birth weight, BMI and muscle strength in 6- to 13-year-old Polish children

Objectives

The aim of this paper was to provide evidence for the impact of prenatal sex steroid exposure on prenatal and postnatal body size parameters, and muscle strength in children.

Methods

The following anthropometric data were studied in a group of 1148 children (536 boys and 612 girls) aged 6–13 years: the 2D:4D digit ratio, birth weight and length, and birth head and chest circumference. Postnatal parameters (6–13 years) included body weight and height, BMI, waist and hip circumference, WHR, as well as grip strength in both hands. All parameters that required it were adjusted for sex and gestational or chronological age. A general linear model, Pearson’s correlation, t-statistics and Cohen’s Δ were used in statistical analysis.

Results

Among birth size parameters, only birth weight was significantly negatively correlated with the 2D:4D digit ratio in children. Higher (feminized) digit ratios were significantly correlated with postnatal parameters such as body weight, BMI, and waist and hip circumference (positively), as well as hand grip strength–a proxy for muscular strength (negatively).

Conclusion

Problems with maintaining adequate body size parameters and muscle strength may be programmed in fetal life and predicted on the basis of the 2D:4D digit ratio. Body weight at birth and in early ontogenesis are additive correlates of the 2D:4D ratio. The present findings suggest that the 2D:4D digit ratio is related to postnatal phenotypes such as birth weight, overweight, and obesity as well as muscle strength in 6–13-year-old children of both sexes.

Dietary anthocyanin-rich extract of açai protects from diet-induced obesity, liver steatosis, and insulin resistance with modulation of gut microbiota in mice

OBJECTIVE

Açai is a rich source of anthocyanins and has been used as a dietary supplement and as an active pharmaceutical ingredient. Growing evidence indicates that host-microbial interactions played a vital role in the host metabolism. The aim of this study was to investigate the anthocyanin-rich extract of açai (Euterpe oleracea Mart.) fruit (AEA) regarding its antiobesity activity and gut microbiota-modulating effect.

METHODS

Thirty-six male SPF C57BL/6J mice were randomly divided into three groups and fed a low-fat diet, high-fat diet, or a high-fat diet supplemented with AEA for 14 wk. The antiobesity effect of AEA was evaluated, and the microbial changes were analyzed by 16S rRNA sequencing. Spearman correlation analysis was used to determine the correlations between gut microbiota and obesity-related indicators.

RESULTS

The results showed that AEA treatment alleviated HFD-induced obesity, hepatic steatosis, and insulin resistance. Moreover, AEA supplement changed the structure of the gut microbiota, and significantly enriched Akkermansia muciniphila, which was negatively correlated with the physical biomarkers (e.g., serum glucose, insulin, and triacylglycerols) and the genes involved in lipid metabolism.

CONCLUSION

AEA alleviated high-fat diet-induced obesity, insulin resistance, and hepatic steatosis. The microbial changes may be one of the potential mechanisms for AEA in improving obesity and obesity-related disorders.

Risk of gestational diabetes mellitus in nulliparous women - Associations with early life body size and change in body mass index from childhood to adulthood

AIMS

We examined whether a woman's birthweight, childhood height, body mass index (BMI), and BMI changes from childhood to pregnancy were associated with risks of gestational diabetes mellitus (GDM).

METHODS

We studied 13,031 women from the Copenhagen School Health Records Register born 1959-1996 with birthweight and measured anthropometric information at ages 7 and/or 13. The diagnosis of GDM (n = 255) was obtained from a national health register. Risk ratios (RR) were estimated using log-linear binomial regression.

RESULTS

Own birthweight and childhood height were inversely associated with GDM. Girls with overweight at age 7 had a higher risk of GDM than girls with normal-weight (RR: 1.79, 95% CI: 1.31, 2.47). Compared to women with normal-weight in childhood and adulthood, risks of GDM were higher in women who developed overweight from age 7 to pregnancy (RR: 4.62; 3.48, 6.14) or had overweight at both times (RR: 4.71; 3.24, 6.85). In women whose BMI normalized from age 7 to pregnancy the RR for GDM was 1.08 (0.47, 2.46).

CONCLUSIONS

Lower birthweight, shorter childhood height, and higher childhood BMI are associated with increased risks of GDM. Efforts to help girls maintain a normal BMI before pregnancy may be warranted to minimize risks of GDM.

Retinol-binding protein 4, fetal overgrowth and fetal growth factors

BACKGROUND

Retinol-binding protein 4 (RBP-4) is an adipokine involved in regulating insulin sensitivity which would affect fetal growth. It is unclear whether RBP-4 is associated with fetal overgrowth, and unexplored which fetal growth factor(s) may mediate the association.

METHODS

In the Shanghai Birth Cohort, we studied 125 pairs of larger-for-gestational-age (LGA, birth weight >90th percentile, an indicator of fetal overgrowth) and optimal-for-gestational-age (OGA, 25-75th percentiles) control infants matched by sex and gestational age. We measured cord blood concentrations of RBP-4, insulin, proinsulin, insulin-like growth factor-I (IGF-I), and IGF-II.

RESULTS

Cord blood RBP-4 concentrations were elevated in LGA vs. OGA infants (21.9 ± 6.2 vs. 20.2 ± 5.1 µg/ml, P = 0.011), and positively correlated with birth weight z score (r = 0.19, P = 0.003), cord blood proinsulin (r = 0.21, P < 0.001), IGF-I (r = 0.24, P < 0.001), and IGF-II (r = 0.15, P = 0.016). Adjusting for maternal and neonatal characteristics, each SD increment in cord blood RBP-4 was associated with a 0.28 (0.12-0.45) increase in birth weight z score (P < 0.001). Mediation analyses showed that IGF-I could account for 31.7% of the variation in birth weight z score in association with RBP-4 (P = 0.01), while IGF-II was not an effect mediator.

CONCLUSIONS

RBP-4 was positively associated with fetal overgrowth. IGF-I (but not IGF-II) may mediate this association.

Prevalence of gestational diabetes mellitus and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia

Background

Globally, Gestational Diabetes Mellitus (GDM) is rising, but it is a neglected health threat to mothers and their children in low resource countries. Although, GDM is known in Ethiopia, information regarding it remains scarce by recent diagnostic criteria. Therefore, this study aimed to determine the prevalence of GDM and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia.

Methods

A cross-sectional study was conducted among 1027 pregnant women selected by the systematic random sampling technique. The universal one-step screening and diagnostic strategy was done using a two-hour 75 g oral glucose tolerance test. GDM was diagnosed using updated diagnostic criteria (2017 American Diabetes Association (ADA) or 2013 World Health Organization (WHO) or modified International Association of the Diabetes and Pregnancy Study Groups diagnostic criteria (IADPSG)). Binary logistic regression model was used to identify factors associated with GDM.

Results

Of the total 1027 pregnant women, 12.8% (95% CI: 10.8–14.8) were diagnosed with GDM. Overweight and/or obesity (MUAC ≥28 cm) (AOR = 2.25, 95% CI: 1.18–4.26), previous history of GDM (AOR = 5.82, 95% CI: 2.57–13.18), family history of diabetes (AOR = 4.03, 95% CI: 1.57–10.35), low physical activity (AOR = 3.36, 95% CI: 1.60–7.04), inadequate dietary diversity (AOR = 1.9, 95% CI: 1.02–3.53), and antenatal depression (AOR = 4.12, 95% CI: 1.85–9.20) were significantly associated with GDM.

Conclusions

The prevalence of GDM among women attending antenatal care at Gondar town public health facilities was high. Previous history of GDM, antenatal depression, family history of diabetes, low physical activity, overweight and/or obesity and inadequate dietary diversity were significantly associated with GDM. Routine screening of pregnant women and healthy lifestyle are strongly recommended.

Body surface area at birth and later risk for gestational diabetes mellitus among primiparous women

AIMS

To assess the relationship between body surface area (BSA) at birth and future risk for gestational diabetes mellitus (GDM).

METHODS

This is an observational cohort study from Vantaa, Finland. The cohort included 1548 Finnish primiparous women, aged 15-28 years, without pre-existing diabetes, who gave birth 2009-2015. All women were born full-term and had complete information about their birth weight and length, from the Finnish Medical Birth Register. Additional data for the study were provided by individual patient health records and Statistics Finland. Study participants were divided into five levels (I-V) according to BSA at birth, based on normal distribution.

RESULTS

There was an inverse association between BSA at birth and risk for GDM (p = 0.015 for linearity, after adjustments for age, educational attainment, pre-pregnancy BMI and smoking). The odds ratio (OR) for GDM in level V, with the largest BSA at birth, compared with level I, with the smallest BSA at birth, was 0.43 [95% confidence interval (CI) 0.22-0.83]; adjusted for age, educational attainment, pre-pregnancy body mass index and smoking. The OR for GDM was 0.8 (95% CI 0.68-0.95, p = 0.009) for each one standard deviation increase in BSA at birth, adjusted for the same confounders. BSA at birth correlated with adult anthropometry: correlation coefficients were r = 0.16 (95% CI 0.11-0.21) for weight, r = 0.31 (95% CI 0.26-0.35) for height, and r = 0.06 (95% CI 0.01-0.11) for BMI.

CONCLUSIONS

Body surface area at birth is inversely associated with future risk for GDM in primiparous women.

Large-for-Gestational-Age May Be Associated With Lower Fetal Insulin Sensitivity and β-Cell Function Linked to Leptin

CONTEXT

Fetal overgrowth is associated with increased risk for type 2 diabetes in adulthood. It is unclear whether there are alterations in insulin sensitivity and β-cell function in early life.

OBJECTIVE

To determine whether large-for-gestational-age (LGA) (birth weight > 90th percentile), an indicator of fetal overgrowth, is associated with altered fetal insulin sensitivity and β-cell function.

STUDY DESIGN, POPULATION, AND OUTCOMES

In the Design, Development, and Discover birth cohort in Canada, we studied 106 pairs of LGA and optimal-for-gestational-age (OGA; birth weight, 25th to 75th percentiles) infants matched by maternal ethnicity, smoking status, and gestational age. Cord plasma glucose-to-insulin ratio was used as an indicator of fetal insulin sensitivity, and proinsulin-to-insulin ratio was used as an indicator of β-cell function. Cord plasma leptin and high-molecular-weight (HMW) adiponectin concentrations were measured.

RESULTS

Comparisons of infants who were born LGA vs OGA, adjusted for maternal and newborn characteristics, showed that cord blood insulin, proinsulin, and leptin concentrations were significantly higher, whereas HWM adiponectin concentrations were similar. Glucose-to-insulin ratios were significantly lower (15.4 ± 28.1 vs 22.0 ± 24.9; P = 0.004), and proinsulin-to-insulin ratios significantly higher (0.73 ± 0.82 vs 0.60 ± 0.78; P = 0.005) in LGA vs OGA newborns, indicating lower insulin sensitivity and β-cell function in LGA newborns. These significant differences were almost unchanged after further adjustment for cord blood adiponectin levels but disappeared upon additional adjustment for cord blood leptin levels.

CONCLUSIONS

This study demonstrates that LGA may be associated with decreases in both fetal insulin sensitivity and β-cell function. The alterations appear to be linked to elevated leptin levels.

Intergenerational Transmission of Birth Weight Across 3 Generations

While previous studies have shown intergenerational transmission of birth weight from mother to child, whether the continuity persists across 3 generations has rarely been assessed. We used the Aberdeen Maternity and Neonatal Databank (United Kingdom) to examine the intergenerational correlations of birth weight, birth weight adjusted for gestational age and sex, and small- and large-for-gestational-age births across 3 generations among 1,457 grandmother-mother-child triads. All participants were born between 1950 and 2015. The intergenerational transmission was examined with linear regression analyses. We found that grandmaternal birth weight was associated with grandchild birth weight, independently of prenatal and sociodemographic covariates and maternal birth weight (B = 0.12 standard deviation units, 95% confidence interval: 0.07, 0.18). Similar intergenerational continuity was found for birth weight adjusted for sex and gestational age as well as for small-for-gestational-age births. In conclusion, birth weight and fetal growth showed intergenerational continuity across 3 generations. This supports the hypothesis that the developmental origins of birth weight and hence later health and disease are already present in earlier generations.

Effect of maternal glycemia and weight status on offspring birth measures and BMI-z among Chinese population in the first year

To investigate the effects of maternal fasting plasma glucose (FPG) and pre-pregnancy weight status (PPWS) on offspring birth measures and body mass index z-score (BMI-z) in the first year, we conducted a prospective study of 1,096 mother-infant dyads in Guangdong, China, 2014–2015. Multivariate logistic regression was used to test independent/interaction associations of maternal FPG and PPWS with macrosomia/large for gestational age (LGA). Association of PPWS and FPG with offspring BMI-z in the first year was assessed by the linear mixed effects models. For each 1-mmol/L increase in FPG, the risk of macrosomia and LGA was elevated by 2.74 and 2.01 (95% CI: 1.85, 7.60 and 1.54, 5.88), respectively. No main effect of PPWS or interaction association of FPG and PPWS on macrosomia/LGA was observed (P > 0.05). A relation between maternal FPG and PPWS was detected (P < 0.05). Infants of Q5 FPG mothers, those who were born to OWO mothers, had a 0.35 increase in the BMI-z (95% CI: 0.16, 0.55) compared with infants of NW mothers. In conclusion, maternal FPG is positively associated with macrosomia/LGA. Maternal PPWS and FPG considerably interacted for the association with the risk of offspring high BMI-z in the first year.

Specific Metabolic Characteristics of Women With Former Gestational Diabetes: the Importance of Adipose Tissue

Women with a positive history of gestational diabetes mellitus (GDM) face a higher risk of developing type 2 diabetes mellitus (T2DM) and metabolic syndrome later in life. The higher risk of these metabolic complications is closely associated with adipose tissue. In this review, the importance of adipose tissue is discussed in relation to GDM, focusing on both the quantity of fat deposits and the metabolic activity of adipose tissue in particular periods of life: neonatal age, childhood, adolescence, and pregnancy followed by nursing. Preventive measures based on body composition and lifestyle habits with special attention to the beneficial effects of breastfeeding are also discussed.

Determinants of gestational diabetes mellitus: a case-control study

BACKGROUND

Gestational diabetes mellitus (GDM) is glucose intolerance first recognized during pregnancy. The objective of this study was to identify the determinant factors of GDM.

METHODS

An unmatched case-control study was conducted. Descriptive statistics were used to describe the profile of study participants and binary logistic regression was used to identify the determinants of GDM.

RESULTS

GDM was associated with history of abortion (AOR 5.05 [95% CI: 2.65-9.63]), family history of diabetes mellitus (AOR 8.63 [95% CI: 5.19-14.35]), chronic hypertension (AOR 4.63 [95% CI: 1.27-16.86]), dietary diversification score (AOR 2.96 [95% CI: 2-4.46]), regular physical exercise (AOR 0.03 [95% CI: 0.01-0.04]), history of infertility (AOR 6.19 [95%CI: 1.86-20.16]), history of Caesarean section (AOR 3.24 [95% CI: 1.58-6.63]), previous history of GDM (AOR 8.21 [95% CI: 3.18-21.24]), previous history of intrauterine fetal death (AOR 3.96 [95% CI: 1.56-10.04]), literacy (AOR 0.6 [95% CI: 0.43-0.85]), body mass index (AOR 2.96 [95% CI: 2.08-4.2]), parity (AOR 1.78 [95% CI: 1.3-2.49]).

CONCLUSIONS

Regular physical exercise should be used as the main tool in preventing GDM.

High Prevalence of Gestational Diabetes Mellitus in Beijing: Effect of Maternal Birth Weight and Other Risk Factors

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with both short- and long-term adverse health consequences for both the mother and her offspring. The aim was to study the prevalence and risk factors for GDM in Beijing.

METHODS

The study population consisted of 15,194 pregnant women attending prenatal care in 15 hospitals in Beijing, who delivered between June 20, 2013, and November 30, 2013, after 28 weeks of gestation. The participants were selected by cluster sampling from the 15 hospitals identified through random systematic sampling based on the number of deliveries in 2012. A questionnaire was designed to collect information.

RESULTS

A total of 2987 (19.7%) women were diagnosed with GDM and 208 (1.4%) had diabetes in pregnancy (DIP). Age (OR: 1.053, 95% CI: 1.033-1.074, P < 0.01), family history of diabetes mellitus (OR: 1.481, 95% CI: 1.254-1.748, P < 0.01), prepregnancy body mass index (BMI) (OR: 1.481, 95% CI: 1.254-1.748, P < 0.01), BMI gain before 24 weeks (OR: 1.126, 95% CI: 1.075-1.800, P < 0.01), maternal birth weight (P < 0.01), and fasting plasma glucose at the first prenatal visit (P < 0.01) were identified as risk factors for GDM. In women with birth weight <3000 g, GDM rate was significantly higher.

CONCLUSIONS

One out of every five pregnant women in Beijing either had GDM or DIP and this constitutes a huge health burden for health services. Prepregnancy BMI and weight gain before 24th week are important modifiable risk factors for GDM. Ensuring birth weight above 3000 g may help reduce risk for future GDM among female offsprings.

Relationship of maternal birth weight on maternal and neonatal outcomes: a multicenter study in Beijing

OBJECTIVE

Birth weight is an important indicator for childhood and adulthood diseases. Published studies lack information on the relative contribution of women's own birth weight to the course of her pregnancy, not only for maternal but especially to neonatal outcome. The aim of the study was to evaluate the relationship of maternal birth weight on maternal and perinatal complications during pregnancy.

STUDY DESIGN

Medical and obstetrical data were collected from 5479 women at 15 hospitals in Beijing, by a systemic cluster sampling survey conducted from 20 June 2013 to 30 November 2013. These women were categorized into five groups, according to their own birth weight: low birth weight (⩽2500 g, n=275), sub-optimal birth weight (2500 to 2999 g, n=1079), optimal birth weight (3000 to 3499 g, n=2590; 3500 to 3999 g, n=1085) and high birth weight (⩾4000 g, n=450). The occurrence of maternal and neonatal complications was recorded and compared among the groups. Statistical analysis was performed by SPSS 20.0 and values of P<0.05 were considered to be statistically significant.

RESULTS

Low maternal birth weight was associated with higher rates of gestational diabetes mellitus (χ²=21.268, P=0.006) and hypertensive disorders (χ²=10.844, P=0.028). The latter association was strongest in women with a pre-pregnancy body mass index above 25 kg m^-2. Low maternal birth weight was also associated with an apparently higher incidence of preterm labor (χ²=18.27, P=0.001) and hypertriglyceridemia (χ²=2.739, P=0.027) in pregnancy. An association between women with low birth weight and a significantly higher rate of small for gestational age infants (χ²=93.507, P<0.001) and low birth weight (χ²=36.256, P<0.001) was detected. High maternal birth weight was associated with an increased risk of pre-pregnancy overweight and obesity (P<0.001), as well as for large for gestational age infants (χ²=93.507, P<0.001) and macrosomia (χ²=72.594, P<0.001).

CONCLUSIONS

In our study, high or low maternal birth weight was strongly associated with maternal and perinatal adverse pregnancy outcomes. This suggests that by controlling the birth weight of female infants among the normal range, adverse outcomes may be decreased in the future and for the following generations.

The risk factors for gestational diabetes mellitus: A retrospective study

OBJECTIVE

To investigate the risk factors for developing GDM among Taiwanese pregnant women.

DESIGN

A retrospective cohort and case-control study.

SETTING

At a medical centre in Southern Taiwan.

PARTICIPANTS

The hospitalised pregnant women who were diagnosed with either GDM or normal glucose tolerance (NGT) between 1997 and 2011. The glucose tolerance test results were interpreted according to criteria established by the National Diabetes Data Group for GDM. Participants were divided into either a GDM group (case group) or a normal glucose tolerance (NGT) group (control group) in order to determine the risk factors for GDM.

MEASUREMENTS

With a retrospective chart review, data regarding demographics, a family history of diabetes, history of gestation, and physiological index for pre- and postpregnancy periods were collected. χ² tests and independent t tests were used to examine the correlations between demographic characteristics and GDM. Stepwise multivariate logistic regression was used to determine the factors associated with GDM.

FINDINGS

The results of the comparison between the GDM group (n=106) and the NGT group (n=406) showed that the risk factors for GDM were maternal age, education, a family history of diabetes, and prepregnancy body mass index (BMI).

KEY CONCLUSION AND IMPLICATION FOR PRACTICE

Older age, lower levels of education, a family history of diabetes, and higher prepregnancy BMI were significant risk factors for GDM. In addition to performing risk factor assessment, health care providers should proactively promote the importance of GDM screening to pregnant women at their first antenatal visit.

The Relationship between Maternal Gestational Impaired Glucose Tolerance and Risk of Large-for-Gestational-Age Infant: A Meta-Analysis of 14 Studies

OBJECTIVE

To explore, by conducting a meta-analysis, whether gestational impaired glucose tolerance (IGT) is an independent predictor of neonatal large for gestational age (LGA) or not.

METHODS

Medline, Embase, and Cochrane Library databases were searched to identify published epidemiological studies (cohort and case-control studies) investigating the association between gestational IGT and neonatal LGA. Calculations of pooled estimates were conducted in random-effect models or fixed-effects models. Heterogeneity was tested by using chi-square test and I2 statistics. Egger's test (linear regression method) and Begg's test (rank correlation method) were used to assess potential publication bias.

RESULTS

Fourteen observational studies were included in the meta-analysis. The overall risk for the effect of IGT on LGA was 2.09 (1.56, 2.78). Stratified analyses showed no differences regarding different geographic regions or the analysis of overall adjusted odds ratios. No evidence of publication bias was observed in either Egger's test or Begg's test results.

CONCLUSION

Gestational IGT is an independent predictor of neonatal LGA.

Intergenerational transmission of macrosomia in women with gestational diabetes and normal glucose tolerance

OBJECTIVES

It has been suggested that neonatal macrosomia may contribute to increased risk of obesity and type 2 diabetes in later life. Much less is known about the association between maternal birth weight (MBW) and offspring birth weight (OBW). This retrospective study evaluated the prevalence of macrosomia in women with treated gestational diabetes mellitus (GDM) and normal glucose tolerance during pregnancy. The study also investigated associations between MBW and OBW.

STUDY DESIGN

Medical records of 519 pregnant women with treated GDM and 766 women with normal glucose tolerance, referred to the Gestational Diabetes Outpatient Clinic in Szczecin, Poland, were analyzed. The following data were assessed: maternal age, pregravid body weight, height, gestational weight gain, prior GDM, prior macrosomia, MBW and OBW. Birth weight was classified as small for gestational age (SGA), appropriate for gestational age (AGA), large for gestational age (LGA) and macrosomia (≥4000g). OBW was obtained from birth certificates, and MBW was obtained from birth certificates or self-report.

RESULTS

The overall prevalence of macrosomia was 8.1%, and was comparable in subgroups of women with and without GDM (7.7% and 8.4%, respectively; p=0.905). The frequencies of SGA, AGA and LGA did not differ between study groups. A positive correlation was found between MBW and OBW in women with treated GDM (r=0.211, p<0.001) and in women with normal glucose tolerance (r=0.220, p<0.001). Regardless of glucose tolerance status during pregnancy, the greatest proportion of macrosomic babies were born to mothers who were themselves born macrosomic (26.5% in mothers with GDM and 20.0% in mothers with normal glucose tolerance; p=0.631). On logistic regression, MBW was found to be a robust predictor of macrosomia in offspring [odds ratio (OR) 1.64, 95% confidence interval (CI) 1.15-2.36 in women with treated GDM; OR 1.35, 95% CI 1.07-1.76 in women with normal glucose tolerance). Other independent predictors of fetal macrosomia were gestational weight gain, prior macrosomia and pregravid body mass index (BMI).

CONCLUSIONS

MBW, prior macrosomia, pregravid BMI and gestational weight gain were predictors of macrosomia in offspring, but GDM was not. High MBW seems to contribute to intergenerational transmission of macrosomia.

Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

PURPOSE

The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not.

METHODS

Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method).

RESULTS

Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test.

CONCLUSION

Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.

Effect of low birth weight on women's health

PURPOSE

The theory of the developmental origins of health and disease hypothesizes that low birth weight (≤5.5 lb) indicative of poor fetal growth is associated with an increased risk of chronic, noncommunicable disease in later life, including hypertension, type 2 diabetes mellitus, and osteoporosis. Whether women are at greater risk than men is not clear. Experimental studies that mimic the cause of slow fetal growth are being used to examine the underlying mechanisms that link a poor fetal environment with later chronic disease and investigate how sex and age affect programmed risk. Thus, the aims of this review are to summarize the current literature related to the effect of low birth weight on women's health and provide insight into potential mechanisms that program increased risk of chronic disease across the lifespan.

METHODS

A search of PubMed was performed with the keywords low birth weight, women's health, female, and sex differences; additional terms included blood pressure, hypertension, renal, cardiovascular, obesity, glucose intolerance, type 2 diabetes, osteoporosis, bone health, reproductive senescence, menopause, and aging.

FINDINGS

The major chronic diseases associated with low birth weight include high blood pressure and cardiovascular disease, impaired glucose homeostasis and type 2 diabetes, impaired bone mass and osteoporosis, and early reproductive aging.

IMPLICATIONS

Low birth weight increases the risk of chronic disease in men and women. Low birth weight is also associated with increased risk of early menopause. Further studies are needed to fully address the effect of sex and age on the developmental programming of adult health and disease in women across their lifespan.