Predictors of low diabetes risk perception in a multi-ethnic cohort of women with gestational diabetes mellitus

Genetics and Epigenetics: Implications for the Life Course of Gestational Diabetes

Gestational diabetes (GDM) is one of the most common complications of pregnancy, affecting as many as one in six pregnancies. It is associated with both short- and long-term adverse outcomes for the mother and fetus and has important implications for the life course of affected women. Advances in genetics and epigenetics have not only provided new insight into the pathophysiology of GDM but have also provided new approaches to identify women at high risk for progression to postpartum cardiometabolic disease. GDM and type 2 diabetes share similarities in their pathophysiology, suggesting that they also share similarities in their genetic architecture. Candidate gene and genome-wide association studies have identified susceptibility genes that are shared between GDM and type 2 diabetes. Despite these similarities, a much greater effect size for MTNR1B in GDM compared to type 2 diabetes and association of HKDC1, which encodes a hexokinase, with GDM but not type 2 diabetes suggest some differences in the genetic architecture of GDM. Genetic risk scores have shown some efficacy in identifying women with a history of GDM who will progress to type 2 diabetes. The association of epigenetic changes, including DNA methylation and circulating microRNAs, with GDM has also been examined. Targeted and epigenome-wide approaches have been used to identify DNA methylation in circulating blood cells collected during early, mid-, and late pregnancy that is associated with GDM. DNA methylation in early pregnancy had some ability to identify women who progressed to GDM, while DNA methylation in blood collected at 26-30 weeks gestation improved upon the ability of clinical factors alone to identify women at risk for progression to abnormal glucose tolerance post-partum. Finally, circulating microRNAs and long non-coding RNAs that are present in early or mid-pregnancy and associated with GDM have been identified. MicroRNAs have also proven efficacious in predicting both the development of GDM as well as its long-term cardiometabolic complications. Studies performed to date have demonstrated the potential for genetic and epigenetic technologies to impact clinical care, although much remains to be done.

Puerperium experience and lifestyle in women with gestational diabetes mellitus and overweight/obesity in China: A qualitative study

Introduction

Women with overweight or obesity and gestational diabetes mellitus (GDM) are at a high risk of developing type 2 diabetes mellitus (T2DM) and other metabolic diseases. Healthy postpartum lifestyles in women with GDM are important for effectively preventing early T2DM occurrence; however, few studies and guidelines focus in China on this issue.

Aims

This qualitative study aimed to understand the puerperium experience and lifestyle of women with overweight/obesity and GDM.

Methods

A face-to-face, in-depth, and semi-structured interview was conducted using a hermeneutical phenomenology method to collect data that were analyzed through thematic analysis.

Results

Out of 61 recruited women with overweight/obesity and history of GDM, 14 women underwent an interview and provided detailed descriptions of their lifestyle experiences during puerperium. The interview data were used to generate four themes—puerperium dietary behavior, weight perception and “confinement” behavior, family support, disease knowledge, and perceived risk—and nine sub-themes.

Conclusion

Unhealthy lifestyles, misconceptions about food, the conflict between physical activity and confinement behavior, a lack of social and family support, and low awareness of disease risk are all common among overweight/obese women with a history of GDM. Thus, we emphasized that healthcare providers should provide continuous preventive care from pregnancy to postpartum and promote long-term health in high-risk populations with a history of GDM associated with overweight/obesity.

Gestational Diabetes and International Migration

In many countries, immigrant women constitute a substantial proportion of women giving birth. With gestational diabetes being one of the most common complications in pregnancy, understanding gestational diabetes in the context of international migration becomes increasingly relevant. Here, we examine the current evidence related to international migration and gestational diabetes, including short- and long-term adverse outcomes and the experiences of immigrant women with gestational diabetes care and long-term follow-up. Existing evidence focuses on immigrants in high-income countries, and has mainly examined differences in the risk of developing gestational diabetes, or on the experiences of immigrant women diagnosed with gestational diabetes. Studies suggest that the risk of gestational diabetes may be influenced by migration and that immigrant women likely experience particular barriers to care and follow-up. Current research on perinatal outcomes is inconclusive and studies on long-term outcomes are practically absent. Future research should include data on country of origin and examine the role of premigration and postmigration factors in developing gestational diabetes and its associated short- and long-term outcomes. Understanding these factors will provide useful insights into improving the health and health care needs of migrating populations and enable inclusion of culturally appropriate health care practices, thereby improving the health of our current and future generations.

Maternal Metabolites Associated With Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism

CONTEXT

Gestational diabetes is associated with a long-term risk of developing a disorder of glucose metabolism. However, neither the metabolic changes characteristic of gestational diabetes in a large, multi-ancestry cohort nor the ability of metabolic changes during pregnancy, beyond glucose levels, to identify women at high risk for progression to a disorder of glucose metabolism has been examined.

OBJECTIVE

This work aims to identify circulating metabolites present at approximately 28 weeks' gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10 to 14 years later.

METHODS

Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hour serum samples following a 75-g glucose load at approximately 28 weeks' gestation from 2290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hour plasma glucose following a 75-g glucose load, insulin resistance estimated by the homeostasis model assessment of insulin resistance, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study.

RESULTS

Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hour after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10 to 14 years post partum. A core group of fasting and 1-hour metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hour metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, the addition of circulating fasting or 1-hour metabolites at approximately 28 weeks' gestation showed little improvement in prediction performance compared to clinical factors alone.

CONCLUSION

The results demonstrate an association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism.

Postpartum dietary and physical activity-related beliefs and behaviors among women with recent gestational diabetes mellitus: a qualitative study from Singapore

BACKGROUND

A woman with a history of GDM has at least seven-fold increased lifetime risk of developing type 2 diabetes mellitus (T2DM), compared to women who have normoglycemic pregnancies. Postpartum lifestyle modification has been shown to reduce postpartum weight retention and prevent the progression to T2DM. The aim of this study was to explore the postpartum dietary and physical activity-related beliefs and behaviors among women in Singapore who had GDM in their most recent pregnancies.

METHODS

Semi-structured in-depth interviews were conducted with 14 women, who were up to four months postpartum and had GDM in their most recent pregnancies. Interview data were analyzed using thematic analysis.

RESULTS

Three themes were identified in the analysis: (1) risk perception and knowledge regarding future diabetes, (2) suboptimal diet and physical activity after delivery and (3) factors influencing the postpartum lifestyle.

CONCLUSIONS

The study findings provided useful information on the postpartum lifestyle beliefs and behaviors among women with a history of GDM. Most participants had low risk perception of future diabetes and their diet and physical activity after delivery were suboptimal due to various influences. These insights can be used to design tailored materials and programs to support women who have had GDM reduce their risk of developing future T2DM.

Perinatal outcomes associated with the diagnosis of gestational diabetes: Systematic review and meta-analysis

OBJECTIVE

To compare perinatal outcomes in pregnant women diagnosed with gestational diabetes using the one-step and the two-step test.

METHODS

Meta-analysis of observational studies pregnancies women with gestational diabetes from January 2014 to February 2019. The outcomes studied were induction of labor and delivery, preterm delivery, fetal macrosomia, neonatal hypoglycemia, hyperbilirubinemia, low birth weight, and admission to the neonatal intensive care unit.

RESULTS

Eight studies were included with a population of 108,609 pregnancies. Statistical differences were obtained for fetal macrosomia RR0.9 (95%CI0.85-0.97; I²0%) and neonatal hypoglycemia RR1.1 (95%CI1.01-1.40; I²48.5%).

CONCLUSION

Neonatal macrosomia appears to be less present when the one-step diagnostic test is used and neonatal hypoglycemia was lower with the two-step test. Register PROSPERO CRD42020215062.

A Smartphone App (TRIANGLE) to Change Cardiometabolic Risk Behaviors in Women Following Gestational Diabetes Mellitus: Intervention Mapping Approach

BACKGROUND

Gestational diabetes mellitus (GDM) is the most common complication during pregnancy and is associated with an increased risk for the development of cardiometabolic diseases. Behavioral interventions can reduce this risk, but current solutions insufficiently address the requirements for such a program. The systematic development of a scalable mobile health (mHealth) promotion program for mothers during the first years post-GDM may contribute to solving this problem.

OBJECTIVE

The aim of this project was to systematically plan and develop a theory- and evidence-based mHealth intervention to change cardiometabolic risk behaviors in women during the first 5 years post-GDM that meets women's expected standards of commercial health apps.

METHODS

The intervention mapping steps 1 to 4 structured the systematic planning and development of the mHealth program described in this paper. Steps 1 and 2 led to a theory- and evidence-based logic model of change for cardiometabolic health. Based on this model, the prevention program was designed (step 3) and produced (step 4) in cooperation with industrial partners to ensure a high technological standard of the resulting smartphone app for the iPhone (Apple Inc). Step 4 included a user study with women during the first 5 years post-GDM once a beta version of the app ("TRIANGLE") was available. The user study comprised 2 test rounds of 1 week (n=5) and 4 weeks (n=6), respectively. The tests included validated questionnaires on user acceptance, user logs, and think-alouds with semistructured interviews.

RESULTS

The novel TRIANGLE app is among the first self-paced smartphone apps for individual habit change in the 3 lifestyle areas of physical activity, nutrition, and psychosocial well-being. The 3 core features-a challenge system, human coaching, and a library-address 11 behavioral determinants with 39 behavior change methods to support lifestyle changes. Participants in the user study showed a high acceptance, high perceived quality, and high perceived impact of the TRIANGLE app on their health behaviors. Participants tested the app regularly, used it intuitively, and suggested improvements. We then adapted the TRIANGLE app according to the insights from the user study before the full TRIANGLE program production.

CONCLUSIONS

The intervention mapping approach was feasible to plan and develop an innovative and scalable smartphone solution for women during the first 5 years post-GDM. The resulting TRIANGLE intervention has the potential to support behavior change for cardiometabolic disease prevention. However, the app needs further refinement and testing in clinical trials. Intervention mapping steps 5 (implementation plan) and 6 (evaluation plan) may support the integration of the TRIANGLE intervention into routine care.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00012736; https://www.drks.de/DRKS00012736.

Diabetes after pregnancy: a study protocol for the derivation and validation of a risk prediction model for 5-year risk of diabetes following pregnancy

BACKGROUND

Pregnancy offers a unique opportunity to identify women at higher future risk of type 2 diabetes mellitus (DM). In pregnancy, a woman has greater engagement with the healthcare system, and certain conditions are more apt to manifest, such as gestational DM (GDM) that are important markers for future DM risk. This study protocol describes the development and validation of a risk prediction model (RPM) for estimating a woman's 5-year risk of developing type 2 DM after pregnancy.

METHODS

Data will be obtained from existing Ontario population-based administrative datasets. The derivation cohort will consist of all women who gave birth in Ontario, Canada between April 2006 and March 2014. Pre-specified predictors will include socio-demographic factors (age at delivery, ethnicity), maternal clinical factors (e.g., body mass index), pregnancy-related events (gestational DM, hypertensive disorders of pregnancy), and newborn factors (birthweight percentile). Incident type 2 DM will be identified by linkage to the Ontario Diabetes Database. Weibull accelerated failure time models will be developed to predict 5-year risk of type 2 DM. Measures of predictive accuracy (Nagelkerke's R²), discrimination (C-statistics), and calibration plots will be generated. Internal validation will be conducted using a bootstrapping approach in 500 samples with replacement, and an optimism-corrected C-statistic will be calculated. External validation of the RPM will be conducted by applying the model in a large population-based pregnancy cohort in Alberta, and estimating the above measures of model performance. The model will be re-calibrated by adjusting baseline hazards and coefficients where appropriate.

DISCUSSION

The derived RPM may help identify women at high risk of developing DM in a 5-year period after pregnancy, thus facilitate lifestyle changes for women at higher risk, as well as more frequent screening for type 2 DM after pregnancy.

Preventing Type 2 Diabetes in Women with Previous Gestational Diabetes: Reviewing the Implementation Gaps for Health Behavior Change Programs

Gestational diabetes mellitus (GDM) places a woman at high risk of developing subsequent type 2 diabetes mellitus (T2DM), particularly in the first 5 years postpartum. Engaging women in health behavior change during this period is challenging and current diabetes prevention programs were developed for middle-aged adults, all of which have limited the evidence on successful implementation for this high-risk population. In this review, we will first summarize the effects of existing diabetes prevention programs in women with a history of GDM. Second, we suggest that the programs need to be modified according to the facilitators and barriers faced by this population. Third, we propose that improving program penetration, fidelity, and participation is critical for population-level success. Finally, we outline the research priorities to improve the implementation of diabetes prevention programs for postpartum women with a history of GDM.

Associations of perceived prenatal stress and adverse pregnancy outcomes with perceived stress years after delivery

Maternal stress is a risk factor for adverse pregnancy outcomes (APOs). This study evaluates the associations of prenatal stress and APOs with maternal stress years after pregnancy. The 10-item Perceived Stress Scale (PSS) (0-40 range) was completed in the first and third trimesters, and 2-7 years after delivery among a subsample (n = 4161) of nulliparous women enrolled at eight US medical centers between 2010 and 2013 in a prospective, observational cohort study. Demographics, medical history, and presence of APOs (gestational diabetes (GDM), hypertensive disorders of pregnancy (HDP), preeclampsia (PE), and medically indicated or spontaneous preterm birth (miPTB, sPTB)) were obtained. The associations of prenatal PSS and the presence of APOs with PSS scores years after delivery were estimated using multivariable linear regression. Mean PSS scores were 12.5 (95% CI 12.3, 12.7) and 11.3 (95% CI 11.1, 11.5) in the first and third trimesters respectively and 14.9 (95% CI 14.7, 15.1) 2-7 years later, an average increase of 2.4 points (95% CI 2.2, 2.6) from the start of pregnancy. Regressing PSS scores after delivery on first-trimester PSS and PSS increase through pregnancy showed positive associations, with coefficients (95% CI) of 2.8 (2.7, 3.0) and 1.5 (1.3, 1.7) per 5-point change, respectively. Adding APO indicator variables separately showed higher PSS scores for women with HDP (0.7 [0.1, 1.3]), PE (1.3 [0.6, 2.1]), and miPTB (1.3 [0.2, 2.4]), but not those with GDM or sPTB. In this geographically and demographically diverse sample, prenatal stress and some APOs were positively associated with stress levels 2-7 years after pregnancy.ClinicalTrials.gov Registration number NCT02231398.

Provider Counseling About and Risk Perception for Future Chronic Disease Among Women with Gestational Diabetes and Preeclampsia

Background: Women diagnosed with gestational diabetes or preeclampsia are at a greater risk of developing future type 2 diabetes mellitus, high blood pressure, and cardiovascular disease. Increased perception of future chronic disease risk is positively associated with making health behavior changes, including in pregnant women. Although gestational diabetes is a risk factor for type 2 diabetes, few women have heightened risk perception. Little research has assessed receipt of health advice from a provider among women with preeclampsia and its association with risk perception regarding future risk of high blood pressure and cardiovascular disease. Among women with recent diagnoses of preeclampsia or gestational diabetes, we assessed associations between receipt of health advice from providers, psychosocial factors, and type of pregnancy complication with risk perception for future chronic illness. Methods: We conducted a cross-sectional analysis among 79 women diagnosed with preeclampsia and/or gestational diabetes using surveys and medical record abstraction after delivery and at 3 months postpartum. Results: Overall, fewer than half of the 79 women with preeclampsia and gestational diabetes reported receiving health advice from a provider, and women with preeclampsia were significantly less likely to receive counseling as compared with women with gestational diabetes (odds ratio 0.23). We did not identify a difference in the degree of risk perception by pregnancy complication or receipt of health advice. There were no significant differences in risk perception based on age, race, education, or health insurance coverage. Conclusions: We demonstrated that women with preeclampsia and gestational diabetes are not routinely receiving health advice from providers regarding future chronic disease risk, and that women with preeclampsia are less likely to be counseled on their risk, compared with women with gestational diabetes. Provider and patient-centered interventions are needed to improve postpartum care and counseling for women at high risk for chronic disease based on recent pregnancy complications.

Postpartum lifestyle modifications for women with gestational diabetes: A qualitative study

The prevalence of gestational diabetes mellitus increased to 8% in France in 2012, and the risk of developing type 2 diabetes after receiving a gestational diabetes diagnosis increases 7-fold. Education delivered during pregnancy aims to reduce this risk by reminding women to maintain dietary and lifestyle modifications after delivery.

OBJECTIVE

The primary objective of this study was to describe and analyze the feelings and daily lifestyle changes, including physical activity and dietary changes, among women who experienced gestational diabetes and the roles played by their general practitioners during follow-up.

STUDY DESIGN

We conducted a qualitative study examining women's attitudes during the 6-12 months postpartum, after receiving a gestational diabetes diagnosis and associated education. All women participated in semi-structured, individual, telephone-based interviews.

RESULTS

Out of 47 patients contacted, we interviewed 16 women. All interviewed women modified their behaviors, at least slightly, and described changes that included more balanced diets and the incorporation of mild physical activity. Lack of time, lack of awareness regarding the long-term risk of developing type 2 diabetes, resistance to long-term dietary changes, and cultural habits were identified as the primary barriers to long-term lifestyle modifications, whereas family support was found to be beneficial. The reported interactions between each woman and her physician appeared to be weak.

CONCLUSION

Our study showed that educational attitudes and preventive interventions must be reinforced, especially during the long-term, and not only during the immediate postpartum period. Raising awareness among primary care physicians regarding the need to provide continuous education for this high-risk population appears to be necessary.

The accuracy of depression risk perception in high risk Canadians

BACKGROUND

Prevention and early detection of depression is a top public health priority. Accurate perception of depression risk may play an important role in health behavior change and prevention of depression. However, the way in which people in the community perceive their risk of developing depression is currently unknown.

METHODS

We analyzed the baseline data from a randomized controlled trial in 358 men and 356 women who are at high risk of having a major depressive episode (MDE). The predicted risk was assessed by sex-specific multivariable risk predictive algorithms for MDE. We compared participants' perceived risk and their predicted risk. Accurate risk perception was defined as perceived risk is in the range of predicted risk ± 10%.

RESULTS

In men, 29.7% perceived their risk accurately; 47.5% overestimated their risk; 22.8% underestimated their risk. In women, the proportions were 21.7%, 59.6% and 18.7%, respectively. Compared to men, women were more likely to overestimate their risk and less likely to be accurate. Regression modeling revealed that poor self-rated health and higher predicted depression risk were associated with inaccuracy of risk perception in men; a family history of MDE, higher psychological distress and lower predicted risk were associated with inaccuracy of risk perception in women.

CONCLUSIONS

Individuals who are at high risk of developing depression tend to overestimate their risk, especially women. Inaccurate depression risk perception is related to people's health status. Educational interventions are needed to enhance the accuracy of risk perception to encourage positive behavior change and uptake of preventive strategies.

Diabetes after pregnancy prevention trials: Systematic review for core outcome set development

Diabetes prevention intervention studies in women with previous gestational diabetes have increased, but no consensus exists on core outcomes to support comparisons and synthesis of findings. We aimed to systematically catalogue outcomes in diabetes after pregnancy prevention interventions with the goal of developing a core outcome set. Embase, Medline, Cochrane Library, Cochrane Pregnancy and Childbirth Trials Register, and CINAHL were searched from inception to October 2017. Post‐partum lifestyle and diabetes screening intervention studies in women with previous gestational diabetes and/or their families were eligible. No limits were placed on intervention type, duration, or location. Two authors independently screened and performed data extraction on outcomes, measurement tools, and relevant study characteristics. We analysed data from 38 studies (29 randomised controlled trials and 9 pre–post intervention evaluations) comprising 12,509 participants. Most publications (80%) occurred between the years 2012 and 2017. Among 172 outcomes, we identified 36 outcome groups and classified them under three domains: health status (body weight, body composition, diabetes risk, cardiometabolic risk, diabetes development, mental health, pregnancy outcomes, and fitness), health behaviours (dietary, physical activity, diabetes screening, behaviour change, and breastfeeding), and intervention processes (implementation). The health status domain contained the most commonly reported outcomes, but measurement tools were very heterogeneous.

Despite the recent explosion in diabetes after pregnancy prevention studies, large variation in outcomes and measurement methods exists. Research is needed to define a core outcome set to standardise diabetes after pregnancy prevention interventions. The core outcome set should engage a wide group of stakeholders to identify impactful indicators for future trials.

Bridging Gaps and Understanding Disparities in Gestational Diabetes Mellitus to Improve Perinatal Outcomes

IN BRIEF For a woman who is facing financial, cultural, psychological, or social challenges, discovering that she has gestational diabetes mellitus (GDM) represents a significant burden. By better understanding challenges underserved women with GDM face, multidisciplinary clinical teams can make essential changes in health care delivery to optimize outcomes not just during pregnancy, but also, equally importantly, beyond pregnancy to prevent long-term disease.

The risk, perceived and actual, of developing type 2 diabetes mellitus for mothers of preschool children in urban China

BACKGROUND

The perceived risk of developing type 2 diabetes mellitus (T2DM) can motivate individuals to adopt preventive health behaviors. Compared with fathers, mothers of young children often experience unique risk factors for developing T2DM: pregnancy-related weight gain, lifestyle changes related to child care, and the increased incidence of gestational diabetes mellitus. Understanding how actual risk factors affect the perceived risk of developing T2DM can foster effective diabetes prevention interventions for this population. The aims of this study were to describe the risk, perceived and actual, of developing T2DM and to explore the influencing factors of perceived risk for Chinese mothers of preschool children in China.

METHODS

A multisite, cross-sectional survey was conducted and included 176 mothers (mean age of 31.19 years old) of preschool children (aged 3-7 years old) from four preschools in Changsha, the capital city of Hunan Province, China. The overall perceived risk of developing T2DM was measured by one item "Your own personal health risk is at almost no risk, slight risk, moderate risk or high risk from diabetes" from the Risk Perception Survey for Developing Diabetes (RPS-DD). PRS-DD and the Chinese version of the Canadian Diabetes Risk Assessment Questionnaire (CHINARISK) were used to assess perceived risk related worry, personal control, optimistic bias, and diabetes risk knowledge and actual risk of T2DM. Mothers also reported their height, weight, and waist circumference followed by the NIH protocol. Pearson correlation and stepwise multivariate linear regression were used to explore how the actual risk factors affected the perceived risk of developing diabetes (RPS-DD)).

RESULTS

Nearly 90% of mothers perceived almost no/slight risk for developing diabetes. Nearly half of the mothers had parents or siblings with diabetes. Roughly 70% of the mothers did not eat five servings of fruits and vegetables per day, and more than 50% did not exercise at least 30 minutes a day. In the five stepwise multivariate linear regression models, young mothers (95% CI .400-1.311) and those with a family history of diabetes (95% CI -0.74- .000) were founded a higher overall perceived risk. Mothers who reported more sedentary time (95% CI -0.029- -0.008) and less physical activity had less personal control (95% CI -0.354- -0.046). Mothers with more sedentary time had more worries about developing T2DM(95% CI 0.008-0.035) . Mothers who were older (95% CI -0.440-0.055) or had more physical activities (95% CI 0.003-0.048) had more optimistic bias of not developing T2DM. Mothers who had a higher education level (95% CI .354-1.422) and a family history of diabetes (95% CI .029-2.231) had more diabetes risk knowledge of developing T2DM.

CONCLUSION

This study found that Chinese mothers of preschool children in urban areas reported low perceived risk of developing T2DM, although they have actual risk factors. These women did not associate anthropometric, health history, or health behavior factors with the risk of developing T2DM. Anthropometrics and risk factors associated with behavioral risk factors may be the focus of diabetes prevention programs.

Perinatal Outcomes Among Different Asian Groups With Gestational Diabetes Mellitus in Ontario: A Cohort Study

OBJECTIVE

The aim of this study was to determine whether perinatal outcomes differ between Caucasian and Asian subgroups of women with gestational diabetes mellitus (GDM) through use of standard vs ethnicity-specific birthweight curves.

METHODS

This retrospective cohort study included 537 women with GDM, within the ethnically diverse province of Ontario, Canada. Study outcomes included large-for-gestational-age (LGA) and small-for-gestational-age (SGA) birthweights in newborns of women from prevalent Asian ethnic groups compared with newborns of Caucasian women. Odds ratios were adjusted for maternal age, parity, prepregnancy body mass index, gestational weight gain and insulin use in pregnancy.

RESULTS

Of the 537 women participing in the study, 228 (35.8%) were Caucasian, 109 (17.1%) South Asian, 141 (22.1%) East Asian and 59 (9.3%) Filipino. Using standard birthweight curves, compared with Caucasian women, the risk of LGA was lower among South Asian (adjusted odds ratio [aOR], 0.065; 95% confidence interval [CI], 0.01 to 0.49) and East Asian (aOR, 0.36; 95% CI, 0.14 to 0.95) women. The aOR for SGA was notably higher among South Asian women (aOR, 2.96; 95% CI, 1.24 to 7.09). Significant effects were not seen among Filipino women. Use of ethnicity-specific birthweight curves largely attenuated these associations, except for LGA in South Asian mothers (aOR, 0.27; 95% CI, 0.09 to 0.81).

CONCLUSION

South Asian women with GDM are at lower risk of having an LGA newborn, even after accounting for maternal risk factors or the use of an ethnicity-specific birthweight curve.

A Scoping Review of Obesity among Indigenous Peoples in Canada

Indigenous populations in Canada are heavily affected by the burden of obesity, and certain communities, such as First Nations on reserve, are not included in the sampling framework of large national health surveys. A scoping review of ever published original research reporting obesity rates (body mass index ≥ 30), among adult Indigenous peoples in Canada, was conducted to identify studies that help close the Canadian Community Health Survey (CCHS) data gap for obesity prevalence in Indigenous populations in Canada and to make comparisons based on ethnicity, sex, time, and geography. First Nations on reserve with self-reported height and weight had higher rates of obesity (30%-51%) than First Nations off reserve (21%-42%) and non-Indigenous populations (12%-31%) in their respective province or territory, with the exception of Alberta, where rates in First Nations on reserve (30% and 36%) were lower or similar to those reported in First Nations off reserve (38%). First Nations on reserve with predominantly measured height and weight (42%-66%) had higher rates of obesity compared to Inuit in Quebec (28%), Nunavut (33%), and Newfoundland and Labrador (41%), while the rates were similar to those in Inuit in Northwest Territories (49%). Obesity in these large studies conducted among Inuit was based solely on measured height and weight. Studies in First Nations and Inuit alike showed higher prevalence of obesity in women, as well as an increase with time. No recent studies measured the obesity rates for First Nations in Yukon and Northwest Territories and for Métis living in settlements of Northern Alberta. Researchers are encouraged to conduct total diet studies in these regions, and to use existing data to analyze the associations between obesity, road access, latitude, food environment, and traditional food intake, to further inform community planning and development.

Can Nurse-Based Management Screening Ensure Adequate Outcomes in Patients With Gestational Diabetes? A Comparison of 2 Organizational Models

BACKGROUND

Gestational diabetes mellitus (GDM) is an impaired glucose tolerance with onset or first recognition during pregnancy. The purpose of this study is to evaluate the clinical outcomes of a blood glucose monitoring protocol implemented by nurses and dietitians in a diabetes team to the previously established protocol of direct monitoring of GDM patients by a diabetologist.

METHODS

Two groups of patients were formed: The first group was based on a traditional protocol (P1: 230 patients) with patients' blood glucose constantly checked by a diabetologist. In the second structured group (P2: 220 patients) patients were referred to a diabetologist only if they required insulin therapy.

RESULTS

The number of medical visits (P2: 1.28 ± 0.70 vs P1: 3.27 ± 1.44; P < .001) and the percentage of patients with hypoglycemia (P2: 6.8% vs P1: 15.2%; P < .006) were found to be lower in group P2 than in group P1. In both groups, a direct relationship was found between a parental history of diabetes and the risk of GDM (odds ratio [OR]: P1 = 2.2 [1.17-4.12]; P2 = 2.5 [1.26-5.12]). In group P1, it was observed that hyperweight gain in patients who were already overweight before becoming pregnant significantly increased the risk of macrosomia (OR: 3.11 [1.39-25.7]), whereas this was not detected in patients in group P2. In group P2, a correlation was found between macrosomia and insulin therapy (OR: 0.066 vs 0.34). In group P1 and group P2, a correlation was observed between insulin therapy and a family history of diabetes (OR: 2.20 vs 2.27), and a body mass index of greater than 30 kg/m in group P2 (OR: 3.0 vs 1.47).

CONCLUSIONS

The data we collected show that creating a structured protocol for GDM management reduces the number of medical visits required by patients without increasing the risk of hypoglycemia, macrosomia, or hyperweight gain during pregnancy.

Geospatial Analysis of Birth Records to Target Programming for Mothers With Gestational Diabetes Mellitus in Michigan, 2013

OBJECTIVES

The incidence of gestational diabetes mellitus (GDM) in the United States has increased during the past several decades. The objective of this study was to use birth records and a combination of statistical and geographic information system (GIS) analyses to evaluate GDM rates among subgroups of pregnant women in Michigan.

MATERIALS AND METHODS

We obtained data on maternal demographic and health-related characteristics and regions of residence from 2013 Michigan birth records. We geocoded (ie, matched to maternal residence) the birth data, calculated proportions of births to women with GDM, and used logistic regression models to determine predictors of GDM. We calculated odds ratios (ORs) from the exponentiated beta statistic of the logistic regression test. We also used kernel density estimations and local indicators of spatial association (LISA) analyses to determine GDM rates in regions in the state and identify GDM hot spots (ie, areas with a high GDM rate surrounded by areas with a high GDM rate).

RESULTS

We successfully geocoded 104 419 of 109 168 (95.6%) births in Michigan in 2013. Of the geocoded births, 5185 (5.0%) were to mothers diagnosed with GDM. LISA maps showed a hot spot of 8 adjacent counties with high GDM rates in southwest Michigan. Of 11 064 births in the Southwest region, 829 (7.5%) were to mothers diagnosed with GDM, the highest rate in the state and a result confirmed by geospatial analyses.

PRACTICE APPLICATIONS

Birth data and GIS analyses may be used to measure statewide pregnancy-associated disease risk and identify populations and geographic regions in need of targeted public health and maternal-child health interventions.

Designing a lifestyle intervention to reduce risk of type 2 diabetes in postpartum mothers following gestational diabetes: An online survey with mothers and health professionals

OBJECTIVE

The aim of this study was to identify what components of a postpartum lifestyle intervention would engage postpartum mothers who had a diagnosis of gestational diabetes.

STUDY DESIGN

Two online surveys were conducted, one involving postnatal mothers with GDM (n=83), and a second for health professionals (n=46).

RESULTS

Seventy-eight percent of mothers were aware that healthy eating, exercise and weight management were all important to reduce risk of subsequent type 2 diabetes. However, 80% of women in this survey were not ready to engage in a postpartum lifestyle intervention within the first 6 months of giving birth; in contrast 52% of health professionals recommended they should be engaged in the first six weeks. Group sessions were the most commonly chosen format to deliver an intervention (30%). A community setting was preferred to a medical one. Mothers wanted recipe ideas (95%) in preference to general dietary advice (76%) or cooking skills courses (39%). Walking was the main form of exercise for 79% of mothers in this sample. Women highlighted difficulty in focusing on their own health goals because of competing demands of looking after a baby (41% agreed, Median 3, IQR 2), tiredness (65% agreed, Md 4, IQR 1) and the need for childcare (64% agreed, Md 4, IQR 2).

CONCLUSION

A walking programme, recipe ideas and weight monitoring may be useful components when designing a postpartum lifestyle intervention. Barriers to engagement are evident and the intervention should allow women to engage at a time that is appropriate for them.