Influence of maternal weight gain on birth weight: a gestational diabetes cohort

Weight progression and adherence to weight gain target in women with vs. without gestational diabetes: a retrospective cohort study

BACKGROUND

Weight management has been an important component of the service in obstetric care offered to pregnant women. Current gestational weight gain recommendations were primarily for the general obstetric population, raising concern about the applicability to women with gestational diabetes mellitus (GDM). We aimed to assess the difference in weight progression and adherence to the recommended gestational weight gain targets between women with gestational diabetes mellitus (GDM) and women with normal glucose tolerance (NGT).

METHODS

This was a hospital-based retrospective study of 56,616 pregnant women (9,430 GDM women and 47,186 NGT women) from Guangzhou between 2017 and 2021. The average change in weight progression was estimated based on serial weight measurements throughout pregnancy, using a mixed effects model with a random intercept to account for repeated measures of the same individual.

RESULTS

Women with GDM gained less weight (12.07 [SD 5.20] kg) than women with NGT (14.04 [SD 5.04] kg) throughout pregnancy. Before OGTT, a small difference was observed in the average change in weight progression between the two groups (GDM, 0.44 kg/week vs. NGT, 0.45 kg/week, p < 0.001), however, this gap widened significantly after the test (0.34 vs. 0.50 kg/week, p < 0.001). GDM individuals were identified with an approximately 4-fold increased proportion of insufficient weight gain (41.1% vs. 10.4%) and a 2-fold decreased proportion of excessive weight gain (22.6% vs. 54.2%) compared to NGT individuals. These results were consistently observed across different BMI categories, including underweight (insufficient: 52.7% vs. 19.9%; excessive: 15.6% vs. 35.3%), normal weight (insufficient 38.2% vs. 7.4%; excessive: 22.2% vs. 57.3%), and overweight/obese (insufficient: 43.1% vs. 9.8%; excessive: 30.1% vs. 68.8%).

CONCLUSION

Weight progression varied significantly between GDM and NGT individuals, resulting in a substantial difference in identifying insufficient and excessive weight gain between the two groups under current gestational weight gain guidelines.

Estimated optimal gestational weight gain for pregnant women with gestational diabetes mellitus: a prospective cohort study in China

OBJECTIVES

We aimed to evaluate the inter-hospital variability of gestational weight gain (GWG) among women with gestational diabetes mellitus (GDM) in China and explore GDM-specific optimal GWG relative to the National Academy of Medicine (NAM) targets.

METHODS

A prospective multicenter University Hospital Advanced Age Pregnant Cohort study was conducted from March 2017 to June 2021 at eight hospitals in China. The range of mean GWG across hospitals and the intraclass correlation coefficient (ICC) were used to evaluate the inter-hospital variability of GWG. For normal-weight and overweight women with GDM, potential optimal GWGs were derived by minimizing the joint risk of small and large for gestational age (SGA and LGA), and the incidences of adverse perinatal outcomes were compared between women who met the optimal GWGs and those who met the NAM targets.

RESULTS

A total of 3,013 women with GDM and 9,115 women without GDM were included. The GWG variation among hospitals was larger in women with GDM (range: 10.0-14.1 kg, ICC = 7.1%) than in women without GDM (range: 13.0-14.5 kg, ICC = 0.7%). The estimated optimal GWGs for women with GDM were lower than the NAM targets, as 9.5-14.0 kg for normal-weight and 3.0-7.5 kg for overweight women. Women with GDM who met the optimal GWGs had lower incidences of LGA and macrosomia compared to those who met the NAM targets, with no significant increase in the incidences of SGA, preterm birth, etc. CONCLUSIONS: The marked variation of GWG among hospitals in women with GDM indicates the need to develop optimal GWGs for them. The potential optimal GWGs for women with GDM might be lower than the NAM targets, likely benefiting the perinatal outcomes.

Gestational Diabetes Mellitus as an Effect Modifier of the Association of Gestational Weight Gain with Perinatal Outcomes: A Prospective Cohort Study in China

The association of gestational weight gain (GWG) with perinatal outcomes seems to differ between women with and without gestational diabetes mellitus (GDM). Whether GDM is an effect-modifier of the association has not been verified. This study aimed to assess the modifying effect of GDM on the association of GWG with perinatal outcomes. Data on 12,128 pregnant women (3013 with GDM and 9115 without GDM) were extracted from a prospective, multicenter, cohort study in China. The associations of total and trimester-specific GWG rates (GWGR) with perinatal outcomes, including small size for gestational age, large size for gestational age (LGA), preterm birth, cesarean delivery, and gestational hypertension disorders, were assessed. The modifying effect of GDM on the association was assessed on both multiplicative and additive scales, as estimated by mixed-effects logistic regression. As a result, total GWGR was associated with all of the perinatal outcomes. GDM modified the association of total GWGR with LGA and cesarean delivery on both scales (all p < 0.05) but did not modify the association with other outcomes. The modifying effect was observed in the third trimester but not in the first or the second trimester. Therefore, maternal GWG is associated with perinatal outcomes, and GDM modifies the association with LGA and cesarean delivery in the third trimester.

Relationship of abnormal mid-term oral glucose tolerance test and maternal weight gain with adverse pregnancy outcomes in women with gestational diabetes mellitus

To explore the correlation of mid-term oral glucose tolerance test (OGTT) and maternal weight gain with adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM). A total of 2611 pregnant women with GDM who were examined and delivered in Women's Hospital, Zhejiang University School of Medicine from July 1st 2017 to 30th June 2018 were enrolled in this study. According to the number of abnormal items of mid-term OGTT results or maternal gestational weight gain (GWG), patients were classified. The incidence of adverse perinatal outcomes in each group and its relation with OGTT results and GWG were analyzed. The incidence of gestational hypertension, premature delivery, macrosomia and large for gestational age infant (LGA) in three abnormal items GDM patients were significantly higher than those in one or two abnormal items GDM patients (all <0.017). The incidence of gestational hypertension and premature delivery in two abnormal items GDM patients were higher than those in one abnormal item GDM patients (all <0.017). The incidence of gestational hypertension and macrosomia in excessive GWG patients were significantly higher than those in inadequate and appropriate GWG patients (all <0.017), and the incidence of LGA were higher than that in inadequate GWG patients (all <0.017). The incidence of premature delivery and low birth weight infants in appropriate GWG patients were significantly lower than those in inadequate and excessive GWG patients, and the incidence of small for gestational age infant (SGA) were significantly lower than that in inadequate GWG patients (all <0.017). In one abnormal item GDM patients, inadequate GWG was a risk factor for premature delivery and SGA (=1.66, 95%: 1.10-2.52; =2.20, 95%: 1.07-4.53), and protective factor for LGA (=0.40, 95%: 0.27-0.59). And excessive GWG was a risk factor for gestational hypertension, premature delivery and low birth weight infants (=2.15, 95%: 1.35-3.41; =1.80, 95%: 1.20-2.72; =2.18, 95%: 1.10-4.30).In two abnormal items GDM patients, inadequate GWG was a protective factor for macrosomia and LGA (=0.24, 95%: 0.09-0.67; =0.54, 95%: 0.34-0.86), while excessive GWG was risk factor for premature delivery (=1.98, 95%: 1.23-3.18).In three abnormal items GDM patients, there was no significant relationship between GWG and adverse pregnancy outcomes. For GDM women with one or two items of elevated blood glucose in OGTT, reasonable weight management during pregnancy can reduce the occurrence of adverse pregnancy outcomes. For those with three items of elevated blood glucose in OGTT, more strict blood glucose monitoring and active intervention measures should be taken in addition to weight management during pregnancy.

The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

BACKGROUND

Clinical data suggest that BMI and gestational weight gain (GWG) are strongly interconnected phenotypes; however, the genetic basis of the latter is rather unclear. Here we aim to find genes and genetic variants which influence BMI and/or GWG.

METHODS

We have genotyped 316 type 1 diabetics using Illumina Infinium Omni Express Exome-8 v1.4 arrays. The GIANT, ARIC and T2D-GENES summary statistics were used for TWAS (performed with PrediXcan) in adipose tissue. Next, the analysis of association of imputed expression with BMI in the general and diabetic cohorts (Analysis 1 and 2) or GWG (Analysis 3 and 4) was performed, followed by variant association analysis (1 Mb around identified loci) with the mentioned phenotypes.

RESULTS

In Analysis 1 we have found 175 BMI associated genes and 19 variants (p < 10-4) which influenced GWG, with the strongest association for rs11465293 in CCL24 (p = 3.18E-06). Analysis 2, with diabetes included in the model, led to discovery of 1812 BMI associated loci and 207 variants (p < 10-4) influencing GWG, with the strongest association for rs9690213 in PODXL (p = 9.86E-07). In Analysis 3, among 648 GWG associated loci, 2091 variants were associated with BMI (FDR < 0.05). In Analysis 4, 7 variants in GWG associated loci influenced BMI in the ARIC cohort.

CONCLUSIONS

Here, we have shown that loci influencing BMI might have an impact on GWG and GWG associated loci might influence BMI, both in the general and T1DM cohorts. The results suggest that both phenotypes are related to insulin signaling, glucose homeostasis, mitochondrial metabolism, ubiquitinoylation and inflammatory responses.