Gestational diabetes mellitus and interpregnancy weight change: A population-based cohort study

Impact of interpregnancy weight changes and perinatal outcomes: A retrospective study in Japan

Previous studies have shown that interpregnancy weight fluctuations impact perinatal outcomes. In order to examine this in Japanese women, we analyzed the data of 2,861 women in their first and second pregnancies who delivered singletons between 2000 and 2022. We compared the second pregnancy perinatal outcomes of women whose interpregnancy body mass index (BMI) change was -1 to 1 unit with those of women whose BMI change was < -1 or ≥ 1 unit. An interpregnancy BMI change ≥ 1 unit was associated with an increased risk of developing gestational diabetes mellitus (adjusted odds ratio [aOR], 1.51; 95% confidence interval [CI], 1.18-1.95) and delivering a large for gestational age neonate (aOR, 1.67; 95% CI, 1.15-2.42) but a decreased risk of preterm birth (aOR, 0.66; 95% CI, 0.46-0.95). An interpregnancy BMI change < -1 unit was associated with a decreased risk of developing gestational diabetes mellitus (aOR, 0.51; 95% CI, 0.31-0.85). In a subgroup analysis of three groups divided according to prepregnancy BMI, interpregnancy BMI changes ≥ 1 unit in women with a BMI of < 18.5 kg/m2 before their first pregnancy were associated with a remarkable risk reduction of developing preterm birth (aOR, 0.30; 95% CI, 0.11-0.81). Interpregnancy BMI changes < -1 unit in women with a BMI of ≥ 25 kg/m2 before their first pregnancy were associated with a remarkable risk reduction of developing gestational diabetes mellitus (aOR, 0.33; 95% CI, 0.12-0.88). Weight gain during interpregnancy period was related to an increased risk of gestational diabetes mellitus and delivery of a large-for-gestational-age neonate, whereas weight loss was related to a decreased risk of developing gestational diabetes mellitus. These results indicate the importance of interpregnancy weight control as part of preconception care; therefore, women considering additional pregnancies should be educated on the importance of maintaining a healthy weight.

Prevalence and treatment of gestational diabetes in Norway 2010-2020

AIMS

Estimate prevalence of gestational diabetes mellitus (GDM) and its treatment in Norway 2010-2020 and explore impact of new national GDM guidelines in 2017.

METHODS

We identified women giving birth in a nationwide cohort study using registers on births, prescriptions, education, primary and specialist care. For each year, we estimated prevalence of GDM overall, by BMI, age, education, and mother's birthplace; proportions of GDM pregnancies receiving pharmacological treatment; and distribution of the gestational week when GDM was diagnosed.

RESULTS

In 633,169 pregnancies, prevalence of GDM increased from 2.6 % in 2010 to 6.0 % in 2016, then stabilized. Similar patterns were seen across strata of BMI, age, education, and maternal birthplace, although prevalence was higher with higher BMI, higher age, lower education, and mothers born in Asia, Africa, or Middle East. The proportion of the GDM population pharmacologically treated increased from 11.6 % in 2010 to 13.6 % in 2016 and 31.6 % in 2020. GDM was diagnosed in recommended gestational week 24-28 in 19 % versus 45 % of GDM pregnancies in 2010 and 2020, respectively.

CONCLUSIONS

Both the proportion diagnosed with GDM within recommended time of screening, and who received pharmacological treatment, increased substantially following new guidelines in 2017. Prevalence of GDM increased from 2010 to 2016, then plateaued.

Fetal Exposure to Preeclampsia and Later Risk of Cardiometabolic Disorders: A Population-Based Cohort Study

BACKGROUND

Fetal preeclampsia exposure has been associated with later cardiometabolic disease. However, this association has been investigated in few large population-wide studies, and it is unknown whether the association represents a causal relationship or is the result of shared etiological factors.

METHODS

To further investigate the relationship between preeclampsia exposure and later cardiometabolic disease, we identified 1 692 944 singleton infants born in Norway during 1967 to 1997, where 44 299 were exposed to preeclampsia in utero. The individuals were followed for hypertension, diabetes, and dyslipidemia as defined by dispensed medication. We used Cox regression models to calculate the association between preeclampsia exposure and cardiometabolic outcomes adjusting for measured confounders. We also used full sibling comparisons and stratified Cox regression to control for unmeasured familial confounders.

RESULTS

On the population level, exposed individuals had increased risk of hypertension (adjusted hazard ratio [aHR] 1.51 [95% CI, 1.41-1.63]), diabetes (aHR 1.33 [95% CI, 1.24-1.43], and dyslipidemia (aHR 1.28 [95% CI, 1.13-1.45]) compared with unexposed individuals. In sibling data, individuals not exposed to preeclampsia, but with an exposed sibling, had higher risk of hypertension and diabetes than individuals where no siblings were exposed to preeclampsia. Moreover, when comparing siblings discordant on preeclampsia exposure, there were no associations between preeclampsia and hypertension (aHR 1.05 [95% CI, 0.88-1.26]), diabetes (aHR 0.96 [95% CI, 0.80-1.14]), and dyslipidemia (aHR 0.86 [95% CI, 0.62-1.20]).

CONCLUSIONS

Fetal preeclampsia exposure was associated with adult life hypertension, diabetes, and dyslipidemia, but these associations were likely due to shared etiological factors, rather than exposure to the preeclamptic condition itself.

Early adulthood weight change, midlife "Life's essential 8" health status and risk of cardiometabolic diseases: a chinese nationwide cohort study

BACKGROUND

The association between weight change during early adulthood and cardiometabolic diseases remains uncertain in Chinese population. Whether the association varies with comprehensive cardiovascular health (CVH) in midlife assessed by "Life's Essential 8" has not been characterized. We aim to examine the associations of early adulthood weight change and midlife "Life's Essential 8" CVH status with cardiometabolic outcomes in a Chinese cohort.

METHODS

The study participants were from the China Cardiometabolic Disease and Cancer Cohort (4 C) Study. This analysis included 72,610 middle-aged and older participants followed for a median of 3.6 years. At baseline, the participants recalled body weight at age 20 and 40 years, and we calculated change in weight and BMI between 20 and 40 years of age. Health behaviors information in "Life's Essential 8" was collected by questionnaire, and health factors were measured in the study center. During follow-up, we ascertained incident cardiovascular events based on medical records, and diagnosed incident diabetes according to the American Diabetes Association 2010 criteria.

RESULTS

72,610 study participants were included with a mean age of 56.0 ± 8.8 years and 29% of them were males. Weight gain of more than 10 kg between 20 and 40 years of age was associated with 22% increased risk of incident cardiovascular events (HR: 1.22; 95%CI: 1.04-1.43) and 38% increased risk of diabetes (HR: 1.38; 95%CI: 1.25-1.53) compared to stable weight. Besides, the association of weight gain more than 10 kg in early adulthood with cardiometabolic risk was even stronger in those with low CVH score in midlife (HR: 2.44; 95%CI: 2.01-2.97 for incident cardiovascular events; HR: 2.20; 95%CI: 1.90-2.55 for incident diabetes) or with few ideal cardiovascular health metrics in midlife.

CONCLUSIONS

Our study indicated that weight gain in early adulthood was associated with significantly increased risk of cardiometabolic diseases. And the association could be stronger in those with poor CVH profiles in midlife. These findings confirmed the significance of weight management during early adulthood and suggested that individuals who experienced substantial weight gain in early life should be encouraged to maintain good CVH status in Chinese population.

Distribution and association of interpregnancy weight change with subsequent pregnancy outcomes in Asian women

The extent of interpregnancy weight change and its association with subsequent pregnancy outcomes among Asians remain unclear. We examined changes in maternal body mass index (BMI) between the first two deliveries and outcomes in the second delivery. Medical records of women with their first two consecutive deliveries between 2015 and 2020 at KK Women's and Children's Hospital, Singapore were retrieved. Gestational-age-adjusted BMI was determined by standardising to 12 weeks gestation and interpregnancy BMI change was calculated as the difference between both pregnancies. Pregnancy outcomes were analysed using modified Poisson regression models. Of 6264 included women with a median interpregnancy interval of 1.44 years, 40.7% had a stable BMI change within ± 1 kg/m², 10.3% lost > 1 kg/m², 34.3% gained 1-3 kg/m² and 14.8% gained ≥ 3 kg/m². Compared to women with stable BMI change, those with > 1 kg/m² loss had higher risk of low birthweight (adjusted risk ratio [RR] 1.36; 95% confidence interval 1.02-1.80), while those with 1-3 kg/m² gain had higher risks of large-for-gestational-age birth (1.16; 1.03-1.31), gestational diabetes (1.25; 1.06-1.49) and emergency Caesarean delivery (1.16; 1.03-1.31); these risks were higher in those with ≥ 3 kg/m² gain. Our study strengthens the case for interpregnancy weight management to improve subsequent pregnancy outcomes.

Interpregnancy Body Mass Index Change and Offspring Mortality Risk following the Second Pregnancy

OBJECTIVE

The aim of the study is to examine the impact of maternal interpregnancy body mass index (BMI) change on subsequent offspring mortality risk.

STUDY DESIGN

This is a retrospective cohort study of women who had two consecutive live singleton deliveries of at least 20 weeks' gestation from the Utah Population Database. Our exposure was defined as interpregnancy BMI change from the date of first delivery to the conception date of subsequent pregnancy. We categorized BMI change as: < - 1, -1 to 0, 0 to <1 (reference), 1 to 2, 2 to 4, ≥4 kg/m2. Our primary outcome was all-cause age-specific mortality during four time periods: neonatal (≤28 days), infant (29 days to <1 year old), childhood ((≥1 to <5 years old), and late childhood (5 to <18 years old). We also examined mortality specifically attributed to congenital anomalies. Analyses used Cox proportional hazard models stratified by full term (≥37 weeks) and preterm (<37 weeks) deliveries. All models were adjusted for relevant confounders.

RESULTS

Of 266,752 women, among full-term deliveries, women with a BMI increase of 4 kg/m2 or more had an increased risk of neonatal mortality in their subsequent pregnancy (hazard ratio or HR = 1.72, 95% confidence interval or CI: 1.23-2.41) Women who lost 1 kg/m2 or more between deliveries also had increased neonatal mortality (HR = 1.46, 95% CI: 1.04-2.05). There were no differences in infant, early, or late childhood mortality by interpregnancy BMI change. Maternal interpregnancy interval weight loss of 1 kg/m2 or more and weight gain of ≥4 kg/m2 also had increased risk of mortality associated with congenital anomalies or conditions arising during the neonatal period following their subsequent delivery.

CONCLUSION

Women with significant interpregnancy weight gain and modest weight loss have a significant increased risk of neonatal mortality following their subsequent pregnancy.

KEY POINTS

· Significant weight gain between deliveries increases the risk of neonatal death.. · Modest weight loss between deliveries increases the risk of neonatal death.. · This risk may be partially explained by increased risk of congenital malformations..

Analysis of the impact of a diabetes education program on glycemic control and prevalence of chronic complications

Objective

Diabetes mellitus (DM) is a chronic disease of increasing importance in public health, associated with chronic complications including retinopathy, neuropathy, and kidney, cardiovascular and cerebrovascular disease. This study assessed the impact of strategic DM education actions on glycemic control and prevalence of chronic complications in patients with DM.

Subjects and methods

Retrospective, quantitative, cohort study at a diabetes patients association comprised of a multidisciplinary team. In all, 533 individuals with DM were included. Sociodemographic and clinical data were collected using questionnaire and medical records. Of these, 333 patients evaluated for 12 to 24 months, with type 2 DM (T2DM, n = 317) and other types of DM (n = 16), were selected to collect data on retinopathy and diabetes kidney disease (DKD).

Results

There was a predominance of elderly individuals, low education level, women, high rate of overweight and obesity, physical inactivity, dietary errors, dyslipidemia, and T2DM. More patients with T2DM versus type 1 DM had optimal glycemic control (46.3% vs. 12.2%, respectively; p < 0.001). The impact of the educational processes was demonstrated by the analysis of the initial and final glycated hemoglobin (HBA1c) levels. There was an increased prevalence of individuals with well-controlled DM during follow-up (prevalence ratio [PR] 2.76, 95%, p = 0.001), along with a significant reduction in retinopathy (PR: 0.679, p = 0.001) and albuminuria (PR: 0.637, 95%, p = 0.002) when these variables were evaluated in well-controlled versus uncontrolled HbA1c groups.

Conclusion

A multidisciplinary approach with integration and quality was associated with improvements in DM control and reduced occurrence of chronic DM complications.

Association of body composition in early pregnancy with gestational diabetes mellitus: A meta-analysis

INTRODUCTION

Body composition as dynamic indices constantly changes in pregnancy. The use of body composition indices in the early stages of pregnancy has recently been considered. Therefore, the current meta-analysis study was conducted to investigate the relationship between body composition in the early stages of pregnancy and gestational diabetes.

METHOD

Valid databases searched for papers published from 2010 to December 2021 were based on PRISMA guideline. Newcastle Ottawa was used to assess the quality of the studies. For all analyses, STATA 14.0 was used. Mean difference (MD) of anthropometric indices was calculated between the GDM and Non-GDM groups. Pooled MD was estimated by "Metan" command, and heterogeneity was defined using Cochran's Q test of heterogeneity, and I 2 index was used to quantify heterogeneity.

RESULTS

Finally, 29 studies with a sample size of 56438 met the criteria for entering the meta-analysis. Pooled MD of neck circumference, hip circumference, waist hip ratio, and visceral adipose tissue depth were, respectively, 1.00 cm (95% CI: 0.79 to 1.20) [N = 5; I^2: 0%; p: 0.709], 7.79 cm (95% CI: 2.27 to 13.31) [N = 5; I2: 84.3%; P<0.001], 0.03 (95% CI: 0.02 to 0.04) [N = 9; I2: 89.2%; P<0.001], and 7.74 cm (95% CI: 0.11 to 1.36) [N = 4; I^2: 95.8%; P<0.001].

CONCLUSION

Increased neck circumference, waist circumference, hip circumference, arm circumference, waist to hip ratio, visceral fat depth, subcutaneous fat depth, and short stature increased the possibility of developing gestational diabetes. These indices can accurately, cost-effectively, and affordably assess the occurrence of gestational diabetes, thus preventing many consequences with early detection of gestational diabetes.

Association between body mass index in the first half of pregnancy and gestational diabetes: A systematic review

Gestational diabetes mellitus is a more common complication in pregnancy and rising worldwide and screening for treating gestational diabetes mellitus is an opportunity for preventing its complications. Abnormal body mass index is the cause of many complications in pregnancy that is one of the major and modifiable risk factors in pregnancy too. This systematic review aimed to define the association between body mass index in the first half of pregnancy (before 20 weeks of gestation) and gestational diabetes mellitus. Web of Science, PubMed/Medline, Embase, Scopus, ProQuest, Cochrane library, and Google Scholar databases were systematically explored for articles published until April 31, 2022. Participation, exposure, comparators, outcomes, study design criteria include pregnant women (P), body mass index (E), healthy pregnant women (C), gestational diabetes mellitus (O), and study design (cohort, case–control, and cross-sectional). Newcastle–Ottawa scale checklists were used to report the quality of the studies. Eighteen quality studies were analyzed. A total of 41,017 pregnant women were in the gestational diabetes mellitus group and 285,351 pregnant women in the normal glucose tolerance group. Studies have reported an association between increased body mass index and gestational diabetes mellitus. Women who had a higher body mass index in the first half of pregnancy were at higher risk for gestational diabetes mellitus. In the first half of pregnancy, body mass index can be used as a reliable and available risk factor to assess gestational diabetes mellitus, especially in some situations where the pre-pregnancy body mass index is not available.

Associations of PM2.5 exposure with blood glucose impairment in early pregnancy and gestational diabetes mellitus

Exposure to fine particulate matter (PM_2.5) during pregnancy has been linked to the risk of gestational diabetes mellitus (GDM), while conclusions are inconsistent. In this study we aimed to estimate the effects of prenatal PM_2.5 exposure with blood glucose in early pregnancy and the GDM risk. Participants were recruited from the SH-IPMCH-BTH cohort (n = 41,929), a study of air pollution and birth outcome. All participants provided serum samples for analyses of fasting blood glucose (FBG) and HbA1c during early pregnancy. GDM was diagnosed using an oral glucose tolerance test (OGTT) with the time interval of 1 h. Prenatal exposure to PM_2.5 was estimated using gap-filled satellite exposure assessments in Shanghai, China. Both FBG and HbA1c levels were significantly and positively associated with PM_2.5 exposure during early pregnancy. A 10 μg/m³ increase of PM_2.5 exposure from early to middle pregnancy was associated with the risk of GDM (first trimester OR=1.09, 95% CI: 1.02, 1.16; second trimester OR=1.09, 95% CI: 1.03, 1.16; first two trimester OR=1.15, 95%CI: 1.04, 1.28). The combined effects were greater among elevated FBG and HbA1c women with higher PM_2.5 exposure in middle trimester (P for interaction=0.037 and 0.001, respectively). This study found that exposure to PM_2.5 exposure in the 1^st and 2^nd trimesters was related to GDM. FBG and HbA1c played roles in the relationship between PM_2.5 exposure in the 2^nd trimester and GDM.

Views and needs of people who at high-risk of gestational diabetes mellitus for the development of mobile health applications: A descriptive qualitative research (Preprint)

Background

Early prevention of gestational diabetes mellitus (GDM) can reduce the incidence of not only GDM, but also adverse perinatal pregnancy outcomes. Moreover, it is of great significance to prevent or reduce the occurrence of type 2 diabetes. Mobile health (mHealth) apps can help pregnant women effectively prevent GDM by providing risk prediction, lifestyle support, peer support, professional support, and other functions. Before designing mHealth apps, developers must understand the views and needs of pregnant women, and closely combine users’ needs to develop app functions, in order to better improve user experience and increase the usage rate of these apps in the future.

Objective

The objective of this study was to understand the views of the high-risk population of gestational diabetes mellitus on the development of mobile health apps and the demand for app functions, so as to provide a basis for the development of gestational diabetes mellitus prevention apps.

Methods

Fifteen pregnant women with at least one risk factor for gestational diabetes were recruited from July to September 2021, and were interviewed via a semistructured interview using the purpose sampling method. The transcribed data were analyzed by the traditional content analysis method, and themes were extracted.

Results

Respondents wanted to develop user-friendly and fully functional mobile apps for the prevention of gestational diabetes mellitus. Pregnant women's requirements for app function development include: personalized customization, accurate information support, interactive design, practical tool support, visual presentation, convenient professional support, peer support, reasonable reminder function, appropriate maternal and infant auxiliary function, and differentiated incentive function.These function settings can encourage pregnant women to improve or maintain healthy living habits during their use of the app

Conclusions

This study discusses the functional requirements of target users for gestational diabetes mellitus prevention apps, which can provide reference for the development of future applications.

Does prepregnancy weight change have an effect on subsequent pregnancy health outcomes? A systematic review and meta-analysis

International guidelines recommend women with an overweight or obese body mass index (BMI) aim to reduce their body weight prior to conception to minimize the risk of adverse perinatal outcomes. Recent systematic reviews have demonstrated that interpregnancy weight gain increases women's risk of developing adverse pregnancy outcomes in their subsequent pregnancy. Interpregnancy weight change studies exclude nulliparous women. This systematic review and meta-analysis was conducted following MOOSE guidelines and summarizes the evidence of the impact of preconception and interpregnancy weight change on perinatal outcomes for women regardless of parity. Sixty one studies met the inclusion criteria for this review and reported 34 different outcomes. We identified a significantly increased risk of gestational diabetes (OR 1.88, 95% CI 1.66, 2.14, I²  = 87.8%), hypertensive disorders (OR 1.46 95% CI 1.12, 1.91, I²  = 94.9%), preeclampsia (OR 1.92 95% CI 1.55, 2.37, I²  = 93.6%), and large-for-gestational-age (OR 1.36, 95% CI 1.25, 1.49, I²  = 92.2%) with preconception and interpregnancy weight gain. Interpregnancy weight loss only was significantly associated with increased risk for small-for-gestational-age (OR 1.29 95% CI 1.11, 1.50, I²  = 89.9%) and preterm birth (OR 1.06 95% CI 1.00, 1.13, I²  = 22.4%). Our findings illustrate the need for effective preconception and interpregnancy weight management support to improve pregnancy outcomes in subsequent pregnancies.

Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies

Background

Gestational Diabetes Mellitus (GDM) is defined as the type of hyperglycemia diagnosed for the first-time during pregnancy, presenting with intermediate glucose levels between normal levels for pregnancy and glucose levels diagnostic of diabetes in the non-pregnant state. We aimed to systematically review and meta-analyze studies of prevalence of GDM in European countries at regional and sub-regional levels, according to age, trimester, body weight, and GDM diagnostic criteria.

Methods

Systematic search was conducted in five databases to retrieve studies from 2014 to 2019 reporting the prevalence of GDM in Europe. Two authors have independently screened titles and abstracts and full text according to eligibility using Covidence software. A random-effects model was used to quantify weighted GDM prevalence estimates. The National Heart, Lung, and Blood Institute criteria was used to assess the risk of bias.

Results

From the searched databases, 133 research reports were deemed eligible and included in the meta-analysis. The research reports yielded 254 GDM-prevalence studies that tested 15,572,847 pregnant women between 2014 and 2019. The 133 research reports were from 24 countries in Northern Europe (44.4%), Southern Europe (27.1%), Western Europe (24.1%), and Eastern Europe (4.5%). The overall weighted GDM prevalence in the 24 European countries was estimated at 10.9% (95% CI: 10.0-11.8, I2 : 100%). The weighted GDM prevalence was highest in the Eastern Europe (31.5%, 95% CI: 19.8-44.6, I2 : 98.9%), followed by in Southern Europe (12.3%, 95% CI: 10.9-13.9, I2 : 99.6%), Western Europe (10.7%, 95% CI: 9.5-12.0, I2 : 99.9%), and Northern Europe (8.9%, 95% CI: 7.9-10.0, I2 : 100). GDM prevalence was 2.14-fold increased in pregnant women with maternal age ≥30 years (versus 15-29 years old), 1.47-fold if the diagnosis was made in the third trimester (versus second trimester), and 6.79- fold in obese and 2.29-fold in overweight women (versus normal weight).

Conclusions

In Europe, GDM is significant in pregnant women, around 11%, with the highest prevalence in pregnant women of Eastern European countries (31.5%). Findings have implications to guide vigilant public health awareness campaigns about the risk factors associated with developing GDM.

Systematic Review Registration

PROSPERO [https://www.crd.york.ac.uk/PROSPERO/], identifier CRD42020161857.

Gestational diabetes mellitus and the role of intercurrent type 2 diabetes on long-term risk of cardiovascular events

Recent studies have shown that gestational diabetes mellitus (GDM) is associated with an increased risk for cardiovascular disease. GDM has also been shown to be a risk factor for type 2 diabetes (T2DM) after pregnancy. However, there is limited evidence regarding the role of intercurrent T2DM on the relationship between GDM and future CVD. Thus, we investigated the risks of incident cardiovascular events among women with GDM during pregnancy compared to women without GDM and whether the increased CVD risk is dependent on intercurrent development of T2DM. We conducted a population-based retrospective cohort study using the Korean National Health Insurance Service claims database. Outcomes were the first occurrence of any CVD (myocardial infarction, treatment with coronary revascularization, heart failure, and cerebrovascular disease). Cox proportional hazard models were used to assess the association between GDM and incident CVD events, using landmark analysis at 4 years. A total of 1,500,168 parous women were included in the analysis, of which 159,066 (10.60%) had GDM. At a median follow-up of 12.8 years, 13,222 incident cases of total CVD were observed. Multivariable-adjusted hazard ratio for total CVD among women with prior GDM, compared with those without GDM, was 1.08 (95% CI 1.02-1.14). Further classifying GDM by progression to T2DM in relation to total CVD risk indicated a positive association for GDM with progression to T2DM vs no GDM or T2DM (HR 1.74; 95% CI 1.40-2.15), and no statistically significant association for GDM only (HR 1.06; 95% CI 1.00-1.12). GDM with subsequent progression to T2DM were linked with an increased risk of cardiovascular diseases. These findings highlight the need for more vigilant postpartum screening for diabetes and the implementation of diabetes interventions in women with a history of GDM to reduce future CVD risk.

Does interpregnancy BMI change affect the risk of complications in the second pregnancy? Analysis of pooled data from Aberdeen, Finland and Malta

Objective

Weight management interventions during pregnancy have had limited success in reducing the risk of pregnancy complications. Focus has now shifted to pre-pregnancy counselling to optimise body weight before subsequent conception. We aimed to assess the effect of interpregnancy body mass index (BMI) change on the risk of perinatal complications in the second pregnancy.

Methods

A cohort study was performed using pooled maternity data from Aberdeen, Finland and Malta. Women with a BMI change of ±2 kg/m² between their first and second pregnancies were compared with those who were BMI stable (remained within ±2 kg/m²). Outcomes assessed included pre-eclampsia (PE), intrauterine growth restriction (IUGR), preterm birth, birth weight, and stillbirth in the second pregnancy. We also assessed the effect of unit change in BMI for PE and IUGR. Logistic regression was used to calculate odds ratios with 95% confidence intervals.

Results

An increase of ≥2 kg/m² between the first two pregnancies increased the risk of PE (1.66 (1.49–1.86)) and high birthweight (>4000 g) (1.06 (1.03–1.10)). A reduction of ≥2 kg/m² increased the chance of IUGR (1.15 (1.01–1.31)) and preterm birth (1.14 (1.01–1.30)), while reducing the risk of instrumental delivery (0.75 (0.68–0.85)) and high birthweight (0.93 (0.87–0.98)). Reducing BMI did not significantly decrease PE risk in women with obesity or those with previous PE. A history of PE or IUGR in the first pregnancy was the strongest predictor of recurrence independent of interpregnancy BMI change (5.75 (5.30–6.24) and (7.44 (6.71–8.25), respectively).

Conclusion

Changes in interpregnancy BMI have a modest impact on the risk of high birthweight, PE and IUGR in contrasting directions. However, a prior history of PE and IUGR is the dominant predictor of recurrence at second pregnancy.

Application of machine learning algorithm for predicting gestational diabetes mellitus in early pregnancy†

Objective

To study the application of a machine learning algorithm for predicting gestational diabetes mellitus (GDM) in early pregnancy.

Methods

This study identified indicators related to GDM through a literature review and expert discussion. Pregnant women who had attended medical institutions for an antenatal examination from November 2017 to August 2018 were selected for analysis, and the collected indicators were retrospectively analyzed. Based on Python, the indicators were classified and modeled using a random forest regression algorithm, and the performance of the prediction model was analyzed.

Results

We obtained 4806 analyzable data from 1625 pregnant women. Among these, 3265 samples with all 67 indicators were used to establish data set F1; 4806 samples with 38 identical indicators were used to establish data set F2. Each of F1 and F2 was used for training the random forest algorithm. The overall predictive accuracy of the F1 model was 93.10%, area under the receiver operating characteristic curve (AUC) was 0.66, and the predictive accuracy of GDM-positive cases was 37.10%. The corresponding values for the F2 model were 88.70%, 0.87, and 79.44%. The results thus showed that the F2 prediction model performed better than the F1 model. To explore the impact of sacrificial indicators on GDM prediction, the F3 data set was established using 3265 samples (F1) with 38 indicators (F2). After training, the overall predictive accuracy of the F3 model was 91.60%, AUC was 0.58, and the predictive accuracy of positive cases was 15.85%.

Conclusions

In this study, a model for predicting GDM with several input variables (e.g., physical examination, past history, personal history, family history, and laboratory indicators) was established using a random forest regression algorithm. The trained prediction model exhibited a good performance and is valuable as a reference for predicting GDM in women at an early stage of pregnancy. In addition, there are certain requirements for the proportions of negative and positive cases in sample data sets when the random forest algorithm is applied to the early prediction of GDM.

A Systematic Review of the Prevalence of Gestational Diabetes in Norway

Gestational diabetes mellitus (GDM) is a major public health problem and a threat to maternal and child health. There is a lack of integrated and systematically synthesized knowledge about the prevalence GDM in Norway. Therefore, this systemic review aimed to present the best available peer-reviewed published evidence from the past 20 years about the prevalence of GDM in Norway. A comprehensive literature search was performed on online databases consisting of PubMed (including Medline), Web of Science, and Scopus to retrieve original research articles published on the prevalence of GDM up to August 2020. Also, databases of Norart and SveMed⁺ in the Norwegian language were searched to enhance the search coverage. Data were extracted using a standardized protocol and data collection form and were presented narratively. A total of 11 studies were selected to include for data analysis and synthesis with the total sample size of 2,314,191 pregnant women. The studies included heterogenous populations and mostly reported the prevalence of GDM in healthy mothers with singleton pregnancies. The prevalence of GDM in population registered-based studies in Norway was reported to be lower than 2%, using the World Health Organization (WHO) 1999 criteria. However, studies on high-risk populations such as the non-European ethnicity reported prevalence rates ranging from 8% to 15%. Given the evidence from available literature that reported trends in the prevalence of GDM, an increase in the prevalence of GDM across most racial/ethnic groups studied in Norway was observed. Overall, the prevalence of GDM in the low risk population of Norway is fairly low, but the available literature supports the perspective that the prevalence of GDM has shown an increasing trend in recent decades. This finding is very important for health service planning and evaluation, policy development, and research in Norway. Large-scale prospective studies, using the national data, are warranted to provide firm evidence over coming years. Our review findings can help policy makers devise appropriate strategies for improving women's reproductive health.

Ambient air pollution exposure during pregnancy and gestational diabetes mellitus in Shenyang, China: a prospective cohort study

The prevalence of gestational diabetes mellitus (GDM) is increasing worldwide. Reports of the association between air pollution exposure and GDM have been inconsistent in previous studies. We conducted a cohort study to investigate the associations between air pollution exposure and GDM in the city of Shenyang in Northeast China for the first time. We studied interactions with different air pollutant exposures and conducted a stratified analysis according to folic acid intake, age, body mass index (BMI), primiparity, and sleep quality. We found significant associations between prenatal exposure to NO_x and SO₂ and the development of GDM during the second trimester: the largest effect on GDM was exposure to SO₂ (odds ratio (OR): 1.77, 95% confidence interval (CI): 1.23-2.56) in the largest quartile compared with the lowest quartile. Significant interactions between age, BMI, parity, sleep quality, and air pollution exposures were observed; stratified analysis showed stronger associations between GDM and high air pollutant exposure in pregnant women with older age, larger BMI, poorer sleep quality, and more parity. We found that air pollution exposure during the second trimester was significantly associated with GDM in a prospective birth cohort study in Northeast China. SO₂, oxynitride (NOX, NO₂, NO), CO, and O₃ all showed a linear trend effect on GDM. Interactions between prenatal air pollution exposure and other factors, such as age at pregnancy, BMI before pregnancy, primiparity, folic acid intake, and sleep quality, during the second trimester might exist.

Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

OBJECTIVE

This study aimed to synthesize evidence regarding the association between interpregnancy weight change (IPWC) and gestational diabetes mellitus (GDM) in the subsequent pregnancy.

METHODS

MEDLINE, EMBASE, Cochrane Library, and Web of Science were searched from inception to May 10, 2020. This review included studies that reported the association between IPWC and GDM in the subsequent pregnancy without restriction on study design, IPWC classification, or parity. The "no weight change" interpregnancy category was defined by each study, and data were synthesized to analyze the risk of GDM according to weight change.

RESULTS

Thirteen observational studies were included. A higher risk of GDM in the subsequent pregnancy when there was interpregnancy weight gain (odds ratio [OR] = 1.56; 95% CI: 1.30-1.83; I²  = 82.30%) was found. However, interpregnancy weight loss was associated with lower risk of GDM in the subsequent pregnancy (OR = 0.83; 95% CI: 0.68-0.98; I²  = 58.10%), but the decrease in the risk of GDM in the subsequent pregnancy was greater among women with pregestational BMI higher than 25 kg/m² (OR = 0.58; 95% CI: 0.39-0.77; I²  = 0.00%).

CONCLUSIONS

The risk of GDM in the subsequent pregnancy increases with interpregnancy weight gain, whereas it decreases with interpregnancy weight loss.

FGF21 Serum Levels in the Early Second Trimester Are Positively Correlated With the Risk of Subsequent Gestational Diabetes Mellitus: A Propensity-Matched Nested Case-Control Study

BACKGROUND

As an important endocrine hormone regulating glucose metabolism, fibroblast growth factor 21 (FGF21) is increased in individuals with gestational diabetes mellitus (GDM) after 24 gestational weeks. However, it is unknown whether the increase in FGF21 precedes the diagnosis of GDM.

METHODS

In this nested case-control study, 133 pregnant women with GDM and 133 pregnant women with normal glucose tolerance (NGT) were identified through propensity score matching, and serum FGF21 levels were measured at 14 to 21 gestational weeks, before GDM is routinely identified. The differences in FGF21 levels were compared. The association between FGF21 and the occurrence of GDM was evaluated using logistic regression models with adjustment for confounders.

RESULTS

The serum FGF21 levels of the GDM group at 14 to 21 gestational weeks were significantly higher than those of the NGT group overall (P < 0.001), with similar results observed between the corresponding BMI subgroups (P < 0.05). The 2nd (OR 1.224, 95% CI 0.603-2.485), 3rd (OR 2.478, 1.229-5.000), and 4th (OR 3.419, 95% CI 1.626-7.188) FGF21 quartiles were associated with greater odds of GDM occurrence than the 1st quartile after multivariable adjustments.

CONCLUSIONS

The serum FGF21 levels in GDM groups increased in the early second trimester, regardless of whether participants were stratified according to BMI. After adjusting for confounding factors, the FGF21 levels in the highest quartile were associated with more than three times higher probability of the diagnosis of GDM in the pregnancy as compared to levels in the first quartile.

Gestational diabetes mellitus: Prevention, diagnosis and treatment. A fresh look to a busy corner

BACKGROUND

Gestational diabetes mellitus (GDM) is a common pregnancy complication characterized by hyperglycaemia with onset or first recognition during pregnancy. Risk factors include family history of diabetes, previous GDM, genetic predisposition for GDM/type 2 diabetes, insulin resistance conditions such as overweight, obesity and ethnicity. Women with GDM are at high risk for fetal macrosomia, small for gestational age, neonatal hypoglycaemia, operative delivery and caesarean delivery. The aim of this narrative review is to summarize the most recent findings of diagnosis and treatment of GDM in order to underline the importance to promote adequate prevention of this disease, especially through lifestyle interventions such as diet and physical activity.

METHODS

The research was conducted using the following electronic databases, MEDLINE, EMBASE, Web of Science, Scopus, ClinicalTrial.gov, OVID and Cochrane Library, including all published randomized and non-randomized studies as well as narrative and systematic reviews.

RESULTS

The lack of universally accepted criteria makes the definition of diagnosis and prognosis of this condition difficult. Early diagnosis and glucose blood level control may improve maternal and fetal short and long-term outcomes. Treatment strategies include nutritional interventions and exercise. Medical treatment can be necessary if these strategies are not effective. Moreover, novel non-pharmacologic agents such as myo-inositol seem to be effective and safe both in the prevention and the treatment of GDM.

CONCLUSIONS

It is important to promote adequate prevention of GDM. Further studies are needed in order to better define the most appropriate strategies for the clinical management of women affected by GDM.

The impact of educational attainment on the occurrence of gestational diabetes mellitus in two successive pregnancies of Finnish primiparous women: a population-based cohort study

AIMS

To assess the impact of educational attainment on the occurrence and recurrence of gestational diabetes mellitus (GDM) in two successive pregnancies in primiparous women.

METHODS

This is a population-based observational cohort study including all 2347 Finnish women without previously diagnosed diabetes, aged ≥ 20 years from the city of Vantaa, Finland, who gave birth to their first and second child between 2009 and 2015. National registries provided data on study participants. We divided the population into four groups according to the presence of GDM in the two pregnancies (GDM-/-, n = 1820; GDM-/+, n = 223; GDM+/-, n = 113; GDM+/+, n = 191).

RESULTS

The occurrence of GDM in the first pregnancy was 13.0% (n = 304) and 17.6% (n = 414) in the second. The recurrence rate of GDM was 62.8%. The four groups did not differ in relation to educational attainment (p = 0.11). In multinomial regression analysis, educational attainment protected from GDM in the second pregnancy [relative risk ratio 0.93 (95% confidence interval (CI) 0.86-0.99) per year of schooling for being GDM-/+ compared with GDM-/-]. In multivariate logistics models, prepregnancy body mass index at the first pregnancy [odds ratio (OR) 1.53 per 1-standard deviation (SD) (95% CI 1.22-1.91)], first-born birth weight z-score [OR 1.30 per 1-SD (95% CI 1.00-1.67)], and inter-pregnancy weight change [OR 1.66 per 1-SD (95% CI 1.27-2.16)], but not educational attainment, predicted recurrence of GDM.

CONCLUSIONS

The recurrence rate of GDM was high. Education protected from novel GDM in the second pregnancy, but was not associated with GDM recurrence.

Circulating metal concentrations, inflammatory cytokines and gestational weight gain: Shanghai MCPC cohort

OBJECTIVES

Based on a prospective birth cohort, we aimed to investigate the associations between maternal circulating metals exposure and gestational weight gain (GWG) across pregnancy, and explore whether maternal inflammatory cytokines could contribute to the GWG changes associated with metals exposure.

METHODS

A total of 234 pregnant women from the Shanghai Maternal-Child Pairs cohort were enrolled in this panel study. 547 blood and serum samples were collected from pregnant women during three follow-up visits, and the circulating concentrations of 27 metals were determined by using the ICP-MS method. Five inflammatory cytokines in serum samples were measured through multiplexed immunoassays. The linear mixed models were used to estimate the association between each ln-transformed metal concentration and GWG across pregnancy. Robust generalized linear regression models were used to estimate the associations among circulating metals, GWG, and inflammatory cytokines.

RESULTS

The GWG during pregnancy was 13.76 ± 1.40 kg. The concentrations Co, Zn, Mo, B, Ag and Te in second or third trimesters were significantly higher than those in early second trimester. The concentration of Mg decreased with the increase of pregnant weeks and no significant statistical differences were found in the concentrations of other metals in different trimesters. Among the detected 26 metals, Li and Sr concentrations were positively associated with GWG in the third trimester. The GWG increased by 0.100 kg (95% CI 0.005, 0.195) and 0.120 kg (95% CI 0.009, 0.232) with each one ln-concentration increase in circulating Li and Sr concentrations, respectively. Concentrations of Li and Sr in the third trimester were positively associated with tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-6, but negatively associated with growth differentiation factor-15 (GDF-15) significantly. Besides, IL-6 and GDF-15 levels were associated with the increase or decrease of overall pregnancy GWG, respectively.

CONCLUSIONS

Results showed that maternal exposure to Li and Sr were associated with increased GWG, in which maternal IL-6 and GDF-15 could contribute to the associations between metal exposures and GWG in pregnant women.

Adverse effects of gestational diabetes-related risk factors on pregnancy outcomes and intervention measures

This study was designed to investigate the risk factors of gestational diabetes mellitus (GDM), analyze its adverse effects on pregnancy outcomes and propose corresponding interventions. From January 2017 to December 2018, 378 GDM patients (GDM group) awaiting delivery in Weifang People's hospital were selected. At the same time, 200 pregnant women with normal blood glucose (NGT) were randomly selected as the control group. According to general and clinical data, the univariate and multivariate logistic regression analyses were used to screen the risk factors for GDM. The pregnancy outcomes of the two groups were calculated and corresponding intervention measures were proposed to provide a basis for the comprehensive prevention and treatment of gestational diabetes. Multivariate logistic regression analysis showed that age, pre-pregnancy body mass index (BMI), family history of diabetes, 2 h postprandial blood glucose (2hPBG), and glycated hemoglobin (HbA1c) were independent risk factors for GDM (P<0.05). The incidence of dystocia and cesarean section, abnormal amniotic fluid, premature rupture of membranes, and pathological pregnancy in the GDM group were significantly higher than those in the normal control group (P<0.01). The probability of fetal distress, macrosomia, small for date infants, and preterm infants in the GDM group was significantly higher than those in the normal control group (P<0.01). The 2hPBG and HbA1c in the GDM group after the intervention were significantly lower than those before intervention (P<0.05). The age of pregnant women and family history of diabetes play important roles in the presence and progression of GDM. Therefore, pregnant women should pay close attention to the relevant risk factors that trigger GDM, in the screening and prevention of GDM during pregnancy, reduce and prevent the presence of GDM to ensure the safety of mothers and infants.

Interpregnancy weight change and recurrence of gestational diabetes mellitus: a population-based cohort study

OBJECTIVE

To estimate recurrence risk of gestational diabetes mellitus (GDM) by interpregnancy weight change.

DESIGN

Population-based cohort study.

SETTING AND POPULATION

Data from the Swedish (1992-2010) and the Norwegian (2006-2014) Medical Birth Registries on 2763 women with GDM in first pregnancy, registered with their first two singleton births and available information on height and weight.

METHODS

Interpregnancy weight change (BMI in second pregnancy minus BMI in first pregnancy) was categorised in six groups by BMI units. Relative risks (RRs) of GDM recurrence were obtained by general linear models for the binary family and adjusted for confounders. Analyses were stratified by BMI in first pregnancy (<25 and ≥25 kg/m² ).

MAIN OUTCOME MEASURE

GDM in second pregnancy.

RESULTS

Among overweight/obese women (BMI ≥25), recurrence risk of GDM decreased in women who reduced their BMI by 1-2 units (relative risk [RR] 0.80, 95% CI 0.65-0.99) and >2 units (RR 0.72, 95% CI 0.59-0.89) and increased if BMI increased by ≥4 units (RR 1.26, 95% CI 1.05-1.51) compared wth women with stable BMI (-1 to 1 units). In normal weight women (BMI <25), risk of GDM recurrence increased if BMI increased by 2-4 units (RR 1.32, 95% CI 1.08-1.60) and ≥4 units (RR 1.61, 95% CI 1.28-2.02) compared with women with stable BMI.

CONCLUSION

Interpregnancy weight loss reduced risk of GDM recurrence in overweight/obese women. Weight gain between pregnancies increased recurrence risk for GDM in both normal and overweight/obese women. Our findings highlight the importance of weight management in the interconception window in women with a history of GDM.

TWEETABLE ABSTRACT

Interpregnancy weight loss reduces recurrence of gestational diabetes mellitus in overweight/obese women.

Term complications and subsequent risk of preterm birth: registry based study

OBJECTIVE

To explore conditions and outcomes of a first delivery at term that might predict later preterm birth.

DESIGN

Population based, prospective register based study.

SETTING

Medical Birth Registry of Norway, 1999-2015.

PARTICIPANTS

302 192 women giving birth (live or stillbirth) to a second singleton child between 1999 and 2015.

MAIN OUTCOME MEASURES

Main outcome was the relative risk of preterm delivery (<37 gestational weeks) in the birth after a term first birth with pregnancy complications: pre-eclampsia, placental abruption, stillbirth, neonatal death, and small for gestational age.

RESULTS

Women with any of the five complications at term showed a substantially increased risk of preterm delivery in the next pregnancy. The absolute risks for preterm delivery in a second pregnancy were 3.1% with none of the five term complications (8202/265 043), 6.1% after term pre-eclampsia (688/11 225), 7.3% after term placental abruption (41/562), 13.1% after term stillbirth (72/551), 10.0% after term neonatal death (22/219), and 6.7% after term small for gestational age (463/6939). The unadjusted relative risk for preterm birth after term pre-eclampsia was 2.0 (95% confidence interval 1.8 to 2.1), after term placental abruption was 2.3 (1.7 to 3.1), after term stillbirth was 4.2 (3.4 to 5.2), after term neonatal death was 3.2 (2.2 to 4.8), and after term small for gestational age was 2.2 (2.0 to 2.4). On average, the risk of preterm birth was increased 2.0-fold (1.9-fold to 2.1-fold) with one term complication in the first pregnancy, and 3.5-fold (2.9-fold to 4.2-fold) with two or more complications. The associations persisted after excluding recurrence of the specific complication in the second pregnancy. These links between term complications and preterm delivery were also seen in the reverse direction: preterm birth in the first pregnancy predicted complications in second pregnancies delivered at term.

CONCLUSIONS

Pre-eclampsia, placental abruption, stillbirth, neonatal death, or small for gestational age experienced in a first term pregnancy are associated with a substantially increased risk of subsequent preterm delivery. Term complications seem to share important underlying causes with preterm delivery that persist from pregnancy to pregnancy, perhaps related to a mother's predisposition to disorders of placental function.

Evaluation of weight retention four weeks after delivery as a risk factor for gestational diabetes mellitus in a subsequent pregnancy

AIM

We aimed to assess the association between postpartum weight retention (PPWR) in the fourth week after delivery and the risk of gestational diabetes mellitus (GDM) in a subsequent pregnancy.

METHODS

We performed a retrospective cohort study of the obstetric records of women who gave birth to their second singleton between 32 and 41 weeks of gestation at the National Hospital Organization Kofu National Hospital between January 2013 and September 2019. The exclusion criteria were missing data, twin pregnancy, diabetes in pregnancy, and delivery before 22 weeks in the first pregnancy. We calculated PPWR as the BMI 4 weeks after the first birth minus the BMI before the first pregnancy and grouped the subjects into the stable PPWR (gain of <1 BMI unit) and non-stable PPWR groups (gain of ≥1 BMI units). We used the χ2 test and multivariable logistic regression analysis to investigate the association between weight retention at the postpartum checkup and GDM.

RESULTS

We included 566 women in this study (mean age, 31.7±4.8 years; mean maternal pre-pregnancy BMI, 21.3±3.5 kg/m2; term delivery, n = 544 [96.1%]). The overall prevalence of GDM during the second pregnancy was 7.4% (42/566), and 33.9% (192/566) of women had stable PPWR. Non-stable PPWR was not significantly associated with GDM in the second pregnancy (adjusted odds ratio, 1.93; 95% confidence interval, 0.84-4.46) after controlling for each variable.

CONCLUSION

PPWR measured in the fourth week after delivery was not associated with an increased risk of GDM in the second pregnancy.

The impact of interpregnancy weight change on perinatal outcomes in women and their children: A systematic review and meta-analysis

Prepregnancy overweight and obesity are associated with higher risk of perinatal complications. However, the effect of weight change prior to pregnancy on perinatal outcome is largely unknown. Therefore, it is aimed to examine the impact on perinatal outcomes of interpregnancy BMI change in women of different BMI categories. The MEDLINE, EMBASE, LILACS, and CINAHL databases were searched (1990-August 2019). Observational studies on interpregnancy BMI change were selected. Outcomes evaluated were gestational diabetes mellitus (GDM), preeclampsia, gestational hypertension (GH), cesarean section, preterm birth, and newborns being large (LGA) or small (SGA) for gestational age. Meta-analyses and meta-regression analyses were executed. Thirty studies were included (n > 1 million). Interpregnancy BMI gain was associated with a higher risk of GDM (for BMI gain ≥3 kg/m² : OR 2.21; [95%CI 1.53-3.19]), preeclampsia (1.77 [1.53-2.04]), GH (1.78 [1.61-1.97]), cesarean section (1.32 [1.24-1.39]), and LGA (1.54 [1.28-1.86]). The effects of BMI gain were most pronounced in women with BMI <25 kg/m² before the first pregnancy regarding GDM, GH, and cesarean section. Except for LGA, interpregnancy BMI loss did not result in a decreased risk of perinatal complications. In this study, women of normal weight who gain weight before pregnancy were identified as a high-risk population for perinatal complications. This emphasizes that weight management is important for women of all BMI categories and a pregnancy wish.

Longitudinal Study of Maternal BMI in Successive Pregnancies

OBJECTIVE

This longitudinal observational study examined BMI changes between successive pregnancies.

METHODS

The computerized medical records of women who attended a large maternity hospital between 2009 and 2017 for their first and second singleton deliveries were analyzed. Women who had their weight first measured after 15 weeks of gestation in either pregnancy were excluded.

RESULTS

Of the 9,724 women, the incidence of obesity increased from 11.6% in the first pregnancy to 16.0% in the second. The mean interpregnancy interval was 32.5 ± 15.7 months, and median BMI change was +0.6 kg/m² (interquartile range 2.2; P < 0.001). Overall, 10.3% (1,006/9,724) developed overweight and 5.9% (571/9,724) developed obesity by the second pregnancy. Of the nulliparas in the overweight category, 20.6% (526/2,558) entered the obesity category. The development of obesity by the second pregnancy was independently associated with a longer interpregnancy interval, formula feeding at hospital discharge, taking antidepressants or anxiolytics, and postnatal depression. Professional/managerial employment was associated with a lower odds ratio of developing obesity.

CONCLUSIONS

Maternal obesity increased between the first and second pregnancy, with one-fifth of nulliparas in the overweight category developing obesity. Pregnancy-related factors were identified as predictors of developing obesity. Further research is needed to assess whether interventions targeting these related factors could optimize maternal weight management between pregnancies.

Incidence and Risk Factors of Gestational Diabetes Mellitus: A Prospective Cohort Study in Qingdao, China

Background: Obesity and maternal age are the two most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However, the age differences in the association between obesity and GDM remain unclear. The objectives of this cohort study included: (1) to determine the current incidence of GDM in Qingdao; and (2) to evaluate the risk factors for GDM, such as the interaction between pre-pregnancy body mass index (BMI) and age. Methods: The cohort included 17,145 pregnant women who registered at 15 to 20 gestational weeks from August 1, 2018, to March 1, 2019. A 75-g 2-h oral glucose tolerance test (OGTT) was conducted for each participant at 24-28 gestational weeks. The age-adjusted incidence of GDM was calculated using logistic regression. Multivariate logistic regression analysis was used to identify risk factors. Interaction between age (reference group <30 years) and BMI (reference group <25 kg/m²) was determined using strata-specific analysis. Results: The incidence and age-adjusted incidence of GDM in Qingdao were 17.42 and 17.45%, respectively. The incidence of GDM appeared to increase steadily with age in all pre-pregnancy BMI groups (all P < 0.05). Older age (≥30 years), gestational BMI gain from pre-pregnancy to 15-20 weeks of gestation, history of GDM and thyroid diseases were risk factors for GDM. There were significant interactions between pre-pregnancy BMI and age (P < 0.05) after adjustment for other confounders. The odds ratio (OR) of pre-pregnancy BMI ≥ 30 kg/m² at the age of <30 years, 30-34 years and ≥35 years was 1.30 (95% CI: 0.74-2.28, P = 0.36), 3.21 (95% CI: 2.28-4.52, P < 0.0001) and 1.55 (95% CI: 1.02-2.36, P = 0.0424), respectively. This indicated that pre-pregnancy BMI ≥ 30 kg/m² had a stronger effect on GDM in the group aged 30-34 years than those under 30 years old. Conclusions: The incidence of GDM was high in Qingdao. Overweight and obesity prior to pregnancy, gestational BMI gain from conception to 15-20 weeks of gestation and older age were correlated with an increased risk of GDM. Public health measures may be helpful to prevent excessive gestational weight gain.

Serum levels of spexin are increased in the third trimester pregnancy with gestational diabetes mellitus

Spexin is a peptide that is involved in energy homeostasis and its expression is influenced by altered glucose metabolism. Gestational diabetes mellitus (GDM) is associated with increased insulin resistance (IR) and pregnancy is a progressive insulin resistant state. We hypothesized that spexin may have an effect on the pathophysiology of GDM which further could help to identify the disease. The aim of this study was to investigate spexin levels in the third trimester pregnancies with GDM and healthy controls. Thirty-nine women with GDM and 39 healthy singleton pregnancies were enrolled in this case-control study. Serum spexin concentrations were measured and correlated to biochemical and clinical parameters. Serum spexin levels were significantly higher in women with GDM (3686.25 ± 348.37 vs. 3472.33 ± 293.93 pg/ml, p=.004). Spexin levels ​​did not differ significantly according to treatment modality. Moreover, spexin levels were significantly positively correlated with homeostasis model assessment of IR (HOMA-IR). Spexin levels were significantly higher in women with GDM and closely related to HOMA-IR in the third trimester pregnancy. This may help to better clarify the pathophysiological role of spexin in GDM.

Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis

Background

Although obesity is a well-known risk factor for adverse pregnancy outcomes, evidence is sparse about the effects of interpregnancy weight change on the risk of adverse perinatal complications in a subsequent pregnancy. The current study aims to assess the effect of interpregnancy weight change on the risk of developing gestational diabetes, pre-eclampsia, pregnancy induced hypertension, preterm birth, or delivering a large- or small-for-gestational age neonate.

Methods

Pubmed, Ovid Embase, ClinicalTrial.gov and the Cochrane library were systematically searched up until July 24th, 2019. Interpregnancy weight change was defined as the difference between pre-pregnancy weight of an index pregnancy and a consecutive pregnancy. Inclusion criteria included full text original articles reporting quantitative data about interpregnancy weight change in multiparous women with any time interval between consecutive births and the risk of any perinatal complication of interest. Studies reporting adjusted odds ratios and a reference group of − 1 to + 1 BMI unit change between pregnancies were harmonised by meta-analysis.

Results

Twenty-three cohort studies identified a total of 671,906 women with two or more consecutive pregnancies. Seven of these studies were included in the meta-analysis (280,672 women). Interpregnancy weight gain was consistently associated with a higher risk of gestational diabetes, pre-eclampsia, pregnancy induced hypertension and large-for-gestational age births. In contrast, interpregnancy weight loss was associated with a lower risk of delivering a large-for-gestational age neonate. The effect magnitude (relative risk) of interpregnancy weight gain on pregnancy induced hypertension or delivering a large-for-gestational age neonate was greater among women with a normal BMI in the index pregnancy compared to women with a starting BMI ≥25 kg/m².

Conclusion

These findings confirm that interpregnancy weight change impacts the risk of developing perinatal complications in a subsequent pregnancy. This provides evidence in support of guidelines encouraging women to achieve post-partum weight loss, as their risk of perinatal complications might be minimised if they return to their pre-pregnancy weight before conceiving again.

Prospectively registered with PROSPERO (CRD42017067326).

Gestational Diabetes Mellitus Changes the Metabolomes of Human Colostrum, Transition Milk and Mature Milk

BACKGROUND Gestational diabetes mellitus (GDM) is a pregnancy complication that is diagnosed by the novel onset of abnormal glucose intolerance. Our study aimed to investigate the changes in human breast milk metabolome over the first month of lactation and how GDM affects milk metabolome. MATERIAL AND METHODS Colostrum, transition milk, and mature milk samples from women with normal uncomplicated pregnancies (n=94) and women with GDM-complicated pregnancies (n=90) were subjected to metabolomic profiling by the use of gas chromatography-mass spectrometry (GC-MS). RESULTS For the uncomplicated pregnancies, there were 59 metabolites that significantly differed among colostrum, transition milk, and mature milk samples, while 58 metabolites differed in colostrum, transition milk, and mature milk samples from the GDM pregnancies. There were 28 metabolites that were found to be significantly different between women with normal pregnancies and women with GDM pregnancies among colostrum, transition milk, and mature milk samples. CONCLUSIONS The metabolic profile of human milk is dynamic throughout the first months of lactation. High levels of amino acids in colostrum and high levels of saturated fatty acids and unsaturated fatty acids in mature milk, which may be critical for neonatal development in the first month of life, were features of both normal and GDM pregnancies.

Weight retention at six weeks postpartum and the risk of gestational diabetes mellitus in a second pregnancy

BACKGROUND

Gestational diabetes mellitus (GDM) is a common cause of maternal morbidity, and can lead to the development of diabetes later in life. Pre-pregnancy body weight is associated with the change in body mass index (BMI) between a first and second pregnancy. Compared with long-term change in BMI between pregnancies, the most accessible follow-up point to investigate BMI change is 6 weeks after the initial pregnancy. The present study aimed to assess the association between weight retention at 6 weeks postpartum and the risk of GDM in a subsequent pregnancy.

METHODS

We recruited 6429 singleton pregnancies into this retrospective cohort study. For each pregnancy, we calculated weight retention at 6 weeks postpartum after the first pregnancy, the interpregnancy BMI change between pregnancies, and the gestational weight gain in the second pregnancy. Risk was represented by the odds ratio (OR) and 95% confidence intervals (CIs). We then determined the relationship between postpartum weight retention at 6 weeks after the initial pregnancy, and the interpregnancy change in BMI between pregnancies. Analyses were stratified by BMI during the first pregnancy.

RESULTS

Compared to women with a stable BMI (- 1 to 1), interpregnancy BMI gains were associated with an increased risk of GDM in the second pregnancy. Risk increased significantly for women with a BMI below and above 25 during the first pregnancy, although the increase was greater in the women with a BMI < 25. The risk of GDM in the second pregnancy was higher in women with inadequate weight gain during the second gestation. The weight retention at 6 weeks postpartum, where there was a gain of > 3 BMI units was significantly more related to weight gain more than when there was 1 BMI unit gain between pregnancies (P < 0.05) and associated with an increased incidence of GDM in the second pregnancy (OR = 2.95, 95% CI: 1.95 ~ 4.45). Women who showed a change in BMI that was > 3 units at 6 weeks postpartum after the first pregnancy showed an increased risk for BMI subsequently (OR = 1.42, 95% CI: 1.08~1.87).

CONCLUSIONS

Women who gained more than 3 BMI units at 6 weeks postpartum were associated with an increased risk of BMI in a subsequent pregnancy. Six weeks postpartum provides a new early window of opportunity to identify risk factors for a subsequent pregnancy and allows us to implement primary prevention strategies.

Decreased maternal serum cortistatin levels in pregnancies with gestational diabetes mellitus

Objective: To investigate serum cortistatin levels in women with gestational diabetes mellitus (GDM) and women with uncomplicated pregnancies.Material and methods: This case-control study consisted of 40 pregnancies with GDM and 41 healthy singleton pregnancies matched for maternal and gestational age. The maternal serum levels of cortistatin were measured with enzyme-linked immunosorbent assay and compared between groups.Results: Cortistatin levels were significantly lower in GDM group (48.85 ± 20.18 versus 65.84 ± 33.98 ng/ml, p = .008). There was a statistically significant difference in cortistatin levels between different treatment modalities and control group (χ²(2) = 8.828, p = .012). Pairwise comparisons showed that diet group had significantly lower CST levels than control group (p = .012). Serum cortistatin levels were negatively correlated with serum insulin and glucose levels and HOMA-IR (r = -0.358, p = .001; r = -0.303, p = .006; r = -0.444, p < .001, respectively).Conclusion: Cortistatin levels were significantly lower in GDM pregnancies and related to serum insulin and glucose levels and HOMA-IR in pregnancy. This may help to better clarify the mechanism of GDM pathogenesis.

Interpregnancy weight change and perinatal outcomes: A protocol for a systematic review and meta-analysis

BACKGROUND

Growing evidence suggests that interpregnancy weight change (IPWC) is a risk factor for perinatal outcomes, since it may increase the probability of gestational complications including gestational diabetes or cesarean delivery. Additionally, IPWC may affect neonatal outcomes increasing the prevalence of newborns small for gestational age or preterm birth. However, the association between IPWC and perinatal outcomes has not systematically synthesized thus far. This study protocol aims to provide a clear, transparent and standardized procedure for systematically reviewing the association between IPWC and perinatal outcomes.

METHODS AND ANALYSIS

This systematic review and meta-analyses protocol is based on the preferred reporting items for systematic review and meta-analysis protocols and the Cochrane Collaboration Handbook. MEDLINE, EMBASE, the Cochrane Library, and Web of Science will be systematically searched from their inception. No limits will be defined by study design, as such different tools to assess risk of bias will be used:Odd ratios and their corresponding 95% confidence intervals will be reported to evaluate associations between IPWC and perinatal outcomes.

RESULTS

The results of this study will be published in a peer-reviewed journal.

CONCLUSION

This systematic review and meta-analysis will systematically synthesize the evidence regarding the association between IPWC and perinatal outcomes. Data will be extracted from published articles and findings will be published in peer-reviewed journals. Ethical approval and informed consent will not be required due to the nature of the study.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018100449.

Weight Gain in Pregnancy and Weight Retention after Birth

AIM:

Our study aims to determine the weight gain of pregnant women and their body weight one year after delivery. We compared these changes in body weight with education and place of residence (urban/rural).

METHODS:

Secundigravidae women (N = 113) filled out the structured checklist regarding anthropological characteristics, such as body weight (the current and before and after the first pregnancy). Some sociodemographic characteristics were also obtained.

RESULTS:

Average weight gain in pregnancy was 16.9 kg (Sd 6.1, median 16 kg; range 6-40 kg). Women with high school education only gained 2 kg more than women with college/university degree (F (1, 108) 4.11, p ≤ 0.05). There was no significant difference in weight gain when the place of residence was compared (F (1, 111) 2.86, p ≥ 0.05). The average weight difference one year after delivery was 3.3 kg (Sd 4.3, median 2 kg; spread -5 to 20 kg). There was no significant difference in weight difference one year after delivery in different educational groups. Women from rural area retained 2.5 kg more than women in an urban area (F (1, 109) 7.50, p ≤ 0.01).

CONCLUSION:

Our research has shown that women with higher education level gain less weight than women with lower degrees. They had more possibility to get access to information about health risks. The overall impression is that women do care about weight gain in pregnancy and actively work on getting back to desirable weight after delivery. This is even more important if we know that body weight before pregnancy, weight gain in pregnancy, pregnancy overweight and pregnancy obesity impact later life of mother and child. Therefore, the need for weight control in pregnancy and between pregnancies should be properly addressed.

Short interpregnancy interval and poor fetal growth: Evaluating the role of pregnancy intention

BACKGROUND

Previous studies have demonstrated that short interpregnancy interval (the interval between delivery and estimated last menstrual period of a subsequent pregnancy) is associated with small for gestational age birth. It is controversial if this association is causal, as few studies have accounted for likely confounding factors such as unintended pregnancy. We examined the association between interpregnancy interval and infant birthweight, adjusting for pregnancy intention and other socio-economic and obstetrical risk factors.

METHODS

We used data from the Scandinavian Successive Small-for-Gestational-Age births study (1986-1988). Birthweight was expressed as a gestational age-standardised z-score.

RESULTS

Among 1406 women, a trend towards lower birthweight z-score with short interpregnancy interval was not statistically significant (unadjusted difference in birthweight z-score of -0.25, 95% confidence interval (CI) -0.55, 0.05). After adjusting for pregnancy intention, detailed measures of socio-economic status, and other covariates, the estimated magnitude of effect between interpregnancy interval and birthweight z-score was further attenuated (adjusted difference in birthweight z-score of -0.13, 95% CI -0.46, 0.20).

CONCLUSIONS

In this cohort study with detailed information on pregnancy intention and socio-economic status, short interpregnancy interval was not associated with lower birthweight. These findings suggest that previously observed associations between short interpregnancy interval and lower birthweight may reflect confounding by socio-economic and/or other unmeasured confounders.

Association between circulating visfatin and gestational diabetes mellitus: a systematic review and meta-analysis

AIMS

Gestational diabetes mellitus (GDM) is a medical complication of any degree of glucose intolerance with onset or first recognition during pregnancy. Although visfatin is commonly considered to be related to GDM, studies revealed inconsistent results. This study aimed to clarify the relationship between visfatin and GDM.

METHODS

The protocol for this study was registered in PROSPERO (No. CRD42018086204) in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed and Embase databases were used to search for relevant studies published up to September 30, 2017. The difference of visfatin levels between women with GDM and the controls was measured by standardised mean difference (SMD) and 95% confidence interval (CI).

RESULTS

Twenty-six studies that were published in 24 articles met the inclusion criteria, in which 2305 participants (1033 with GDM, mean age 31.39 years and 1272 controls, and mean age 29.99 years) were included. The quantitative meta-analysis revealed no significant difference in circulating visfatin levels between women with GDM and the controls (SMD = 0.249, 95% CI = - 0.079 to 0.576, P = 0.137). Subgroup analyses were performed referring to body mass index (BMI) where inconsistent results have been observed between cases and controls groups. For the ten studies, in which the level of BMI in women with GDM was higher than that in the control group, the pooled result showed that circulating visfatin was significantly higher among women with GDM than the controls (SMD = 0.367, 95% CI = 0.06 to 0.728, P = 0.046). Of other 16 studies BMI-matched, the pooled SMD illustrated no difference of visfatin.

CONCLUSIONS

Our study elucidates that visfatin is not independently associated with GDM. Visfatin is linked to GDM through maternal overweight/obesity, which is one of the major factors leading to the development of GDM.

Exposure to ambient fine particulate matter during pregnancy and gestational weight gain

BACKGROUND

Gestational weight gain (GWG) is increasingly reported to be associated with adverse birth outcomes. However, the effect of PM_2.5 exposure during pregnancy on GWG is unknown.

OBJECTIVES

We investigated the associations between the exposure to PM_2.5 and GWGs during three pregnancy trimesters based on a prospective birth cohort.

METHODS

Data were obtained from 2029 pregnant women who participated in a birth cohort between January 2013 and October 2014 in Wuhan, China. A spatial-temporal land use regression model was used to estimate the trimester and overall pregnancy exposures of PM_2.5 of each pregnant woman. The relationships between PM_2.5 exposure and GWG were estimated using linear mixed models.

RESULTS

The median value of GWG was 2.0 kg (interquartile range (IQR): 4.0) in the first trimester, 6.5 kg (IQR: 3.5) in the second trimester, and 7.0 kg (IQR: 3.5) in the third trimester, respectively. The exposure to PM_2.5 was peaked in the first trimester (median concentration: 117.3 μg/m³ (IQR: 71.9)). After adjustment for potential confounders, each 10 μg/m³ increase in PM_2.5 was consistently associated with increases in GWG in overall pregnancy (0.14 kg, 95% confidence interval (CI): 0.12, 0.17), the first (0.15 kg, 95%CI: 0.12, 0.18), second (0.15 kg, 95%CI: 0.10, 0.19) and third trimester (0.13 kg, 95%CI: 0.09, 0.17). Further stratified analysis indicated that pregnant women who delivered in spring or summer gained more body weight associated with PM_2.5 exposure.

CONCLUSIONS

This study provides evidence on the effect of exposure to PM_2.5 on GWG and it is the first report on the importance of reducing the ambient PM_2.5 in controlling of GWG in pregnant women.

Prevention of Type 2 diabetes after gestational diabetes directed at the family context: a narrative review from the Danish Diabetes Academy symposium

In this review, we aim to summarize knowledge about gestational diabetes mellitus (GDM) after delivery; with special focus on the potential of preventing Type 2 diabetes in a family context. The review expands on the key messages from a symposium held in Copenhagen in May 2017 and highlights avenues for future research. A narrative review of the symposium presentations and related literature is given. GDM is associated with increased short- and long-term adverse outcomes including Type 2 diabetes for both mother and offspring. Interestingly, GDM in mothers also predicts diabetes in the fathers. Thus, although GDM is diagnosed in pregnant women, the implications seem to affect the whole family. Structured lifestyle intervention can prevent or delay the onset of Type 2 diabetes. In this review, we show how numerous challenges are present in the target group, when such interventions are sought and implemented in real-world settings. Although interlinked and interacting, barriers to maintaining a healthy lifestyle post-partum can be grouped into those pertaining to diabetes beliefs, the family context and the healthcare system. Health literacy level and perceptions of health and disease risk may modify these barriers. There is a need to identify effective approaches to health promotion and health service delivery for women with prior GDM and their families. Future efforts may benefit from involving the target group in the development and execution of such initiatives as one way of ensuring that approaches are tailored to the needs of individual women and their families.

HELLP syndrome, risk factors in first and second pregnancy: a population-based cohort study

INTRODUCTION

HELLP syndrome (hemolysis, elevated liver enzymes, and low platelet count) may have specific risk factors and risk factors varying from first to second pregnancy. The aims of the study were to estimate the risk of HELLP syndrome by potential risk factors in first and second pregnancy, respectively.

MATERIAL AND METHODS

A population-based cohort study including all women in Norway having their first baby (≥22 gestational weeks) during 1999 to 2014, registered in the Medical Birth Registry (n = 418 897). A subset of women with at least two births (n = 249 070) was used for estimates in second pregnancy. Relative risks with 95% CIs for HELLP syndrome were estimated using logistic regression and adjusted for maternal age and year of childbirth.

RESULTS

Body mass index ≥30 kg/m² and diabetes were associated with HELLP syndrome in first, but not in second pregnancy. Chronic hypertension and multiple pregnancy were associated with HELLP syndrome both in first and second pregnancy. In second pregnancy the strongest risk factors were a history of HELLP syndrome or preterm preeclampsia in the first. The risk was inversely correlated with gestational age at first delivery. The overall relative risk for recurrence of HELLP syndrome was 54.4 (95% CI 34.3-86.2) and 129.5 (95% CI 45.7-367.2) after HELLP syndrome before 29 weeks of gestation in first pregnancy.

CONCLUSIONS

Important risk factors for HELLP syndrome differ from first to second pregnancy. HELLP syndrome in second pregnancy is rare, but the relative risk is very high in women with HELLP syndrome or preterm preeclampsia in their first pregnancy.