Comprehensive management of gestational diabetes mellitus: practical efficacy of exercise therapy and sustained intervention strategies.

Background: Gestational Diabetes Mellitus (GDM) affects 14.0% of pregnancies globally, with a 35% post-pregnancy relapse and a 60% risk of Type 2 Diabetes (T2D) within 5-10 years. Challenges in long-term management, especially postpartum, include adherence and follow-up difficulties. Methods: This study, based on a systematic review and meta-analysis, examined the practical effects of exercise therapy in the prevention, treatment, and prevention of progression from Gestational Diabetes Mellitus (GDM) to Type 2 Diabetes (T2D). Relevant research and clinical practices were retrieved from six major databases (PubMed, Scopus, Web of Science, Cochrane Library, MEDLINE, Science Direct). After analyzing the intervention effects of exercise therapy at different stages, factors favorably influencing the effectiveness of exercise intervention were identified during the more effective stages. Finally, a long-term and efficient exercise implementation plan for the comprehensive management of GDM was proposed. Results: In GDM prevention, exercise reduced the post-intervention risk by 37% compared to the control group (Relative Risk (RR)=0.63; 95% Confidence Interval (CI): 0.54 to 0.72; p=0.01). Studies on GDM treatment showed improved glucose control in the exercise group post-intervention (Mean Difference (MD)=-0.10; 95% CI: -0.16 to -0.04; p=0.04/MD=-0.27; 95% CI: -0.36 to -0.19; p<0.0001). However, exercise therapy didn't significantly affect the incidence of T2D post-GDM (RR=0.88; 95% CI: 0.69 to 1.11; p=0.39) due to challenges in quantified exercise prescriptions and the complexity of postpartum programs. Conclusion: To enhance exercise therapy effectiveness in GDM management, the study recommends adopting an integrated model emphasizing personalized pregnancy plans, postpartum strategies, and long-term support. Leveraging frequent healthcare contact during pregnancy can establish and sustain exercise habits, fostering a lifelong pattern. While the study acknowledges limitations, this approach holds potential for improving glycemic metabolism and developing healthy exercise habits in subsequent generations. Future research should include longer follow-ups to validate the practical efficacy of this approach in preventing T2D after GDM. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42023463617.

Effectiveness of psychoeducation interventions for pregnant women with gestational diabetes mellitus: an integrative review.

BACKGROUND: Gestational diabetes mellitus occurs in approximately 15-17% of pregnant women worldwide and causes high mortality and morbidity for mothers and infants. Pregnant women who are newly diagnosed with gestational diabetes mellitus experience higher levels of stress and anxiety than pregnant women without this condition. Thus, it is important to identify effective interventions to help pregnant women cope with the additional stress and anxiety associated with pregnancy-related complications. AIM: This integrative review aimed to synthesise evidence on the effects of educational interventions for pregnant women with gestational diabetes mellitus regarding knowledge, self-efficacy, self-care behaviour, anxiety, depression, and birth outcomes. METHODS: An integrative review of articles published between 2009 and 2024, written in English and Arabic. The review followed the Whittemore and Knafl's 5-stage process framework. RESULTS: From the 922 abstracts identified using search terms, 16 articles were eligible for this review. Psychoeducational interventions were provided for (1) informational support: information about gestational diabetes mellitus, diabetes mellitus, blood glucose monitoring, exercise management, diet management, and stress; (2) motivational support: setting individual goals, enhancing health behaviours, and motivational messages; (3) emotional support: expression of feelings, enforcement of self-management, and sharing of experiences; and (4) relaxation techniques: breathing exercises, meditation, and mindfulness. In this review, only two studies entirely focused on reducing stress and anxiety through cognitive-behavioural stress management training and mindfulness training. The effects of the interventions on self-efficacy, knowledge, depression, anxiety, and birthing outcomes were inconsistent due to variations in intervention designs and duration. However, consistent positive outcomes were found in self-care behaviours. CONCLUSION: This integrative review found informational and motivational support were frequently used by pregnant women. In contrast, emotional support and relaxation techniques were rarely used. Psychoeducational interventions may enhance self-care behaviours, improve self-efficacy, and reduce stress and depression for women with gestational diabetes mellitus. Nurses and midwives play an essential role in providing holistic care through comprehensive psychoeducational interventions for pregnant women.

Development and Testing of a Mobile App for Management of Gestational Diabetes in Nepal: Protocol for a User-Centered Design Study and Exploratory Randomized Controlled Trial.

BACKGROUND: The prevalence of gestational diabetes mellitus (GDM) is increasing, particularly in low- and middle-income countries (LMICs) like Nepal. GDM self-management, including intensive dietary and lifestyle modifications and blood glucose monitoring, is critical to maintain glycemic control and prevent adverse outcomes. However, in resource-limited settings, several barriers hinder optimal self-management. Mobile health (mHealth) technology holds promise as a strategy to augment GDM treatment by promoting healthy behaviors and supporting self-management, but this approach has not yet been tested in any LMIC. OBJECTIVE: This report describes the protocol to develop a culturally tailored mHealth app that supports self-management and treatment of GDM (GDM-Dhulikhel Hospital [GDM-DH] app, phase 1) and test its usability and preliminary efficacy (phase 2) among patients with GDM in a periurban hospital setting in Nepal. METHODS: The study will be conducted at Dhulikhel Hospital in Dhulikhel, Nepal. In the development phase (phase 1), a prototype of the GDM-DH app will be developed based on expert reviews and a user-centered design approach. To understand facilitators and barriers to GDM self-management and to gather feedback on the prototype, focus groups and in-depth interviews will be conducted with patients with GDM (n=12), health care providers (n=5), and family members (n=3), with plans to recruit further if saturation is not achieved. Feedback will be used to build a minimum viable product, which will undergo user testing with 18 patients with GDM using a think-aloud protocol. The final GDM-DH app will be developed based on user feedback and following an iterative product design and user testing process. In the randomized controlled trial phase (phase 2), newly diagnosed patients with GDM (n=120) will be recruited and randomized to either standard care alone or standard care plus the GDM-DH app from 24-30 weeks gestation until delivery. In this proof-of-concept trial, feasibility outcomes will be app usage, self-monitoring adherence, and app usability and acceptability. Exploratory treatment outcomes will be maternal glycemic control at 6 weeks post partum, birth weight, and rates of labor induction and cesarean delivery. Qualitative data obtained from phase 1 will be analyzed using thematic analysis. In phase 2, independent 2-tailed t tests or chi-square analyses will examine differences in outcomes between the 2 treatment conditions. RESULTS: As of July 2024, we have completed phase 1. Phase 2 is underway. The first participant was enrolled in October 2021, with 99 participants enrolled as of July 2024. We anticipate completing recruitment by December 2024 and disseminating findings by December 2025. CONCLUSIONS: App-based lifestyle interventions for GDM management are not common in LMICs, where GDM prevalence is rapidly increasing. This proof-of-concept trial will provide valuable insights into the potential of leveraging mHealth app-based platforms for GDM self-management in LMICs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04198857; https://clinicaltrials.gov/study/NCT04198857. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/59423.

Highs and Lows.

In this narrative medicine essay, a transplant hepatology fellow whose gestational diabetes progressed to type 1 diabetes finds robust online support groups that have helped her navigate her new reality.

Barriers and facilitators to self-management among women with gestational diabetes: A systematic review using the COM-B model.

BACKGROUND: Gestational diabetes mellitus is a common complication during pregnancy, and its prevalence rates have increased dramatically in recent years. Treatment of gestational diabetes requires the active self-management, however, this can be challenging. Understanding the barriers and facilitators of adherence to self-management recommendations is essential for designing effective interventions. AIM: To identify and synthesize barriers and facilitators to self-management of gestational diabetes reported by pregnant women. METHODS: This was a mixed-methods systematic review, including qualitative, quantitative, and mixed-methods studies. A literature search was conducted in four databases (PubMed, Embase, CINAHL, and the Web of Science). Eligible studies explored the barriers and/or facilitators, experiences and/or perceptions to engage in self-management in women with gestational diabetes. The Capability, Opportunity, Motivation, Behaviour model was used to classify barriers and facilitators affecting self-management. RESULTS: Thirty-six studies (23 qualitative, 11 quantitative, and 2 mixed-methods) met the inclusion criteria. We identified barriers and facilitators relating to capability (e.g., physical discomforts and constraints; lack of knowledge of GDM and self-management behaviours; forgetfulness), opportunity (e.g., limited education and resources; social support from family, friends, and peer groups; conflict with existing lifestyles or cultural norms), and motivation (e.g., perceived negative consequence of self-management behaviours or not perceived benefits; negative emotion; concern the health of the baby). CONCLUSION: In this study, we identified the barriers and facilitators of self-management in women with gestational diabetes, which were explained by relevant theoretical models. Interventions should be developed with full consideration of these findings to ensure that pregnant women have the correct knowledge and confidence to self-manage their complications.

Self-management interventions for gestational diabetes in Africa: a scoping review.

BACKGROUND: Gestational diabetes (GD) can threaten the health of both the mother and the foetus if it is not effectively managed. While there exists a growing body of research on self-management interventions for GD, there is a lack of reviewed studies regarding the various self-management interventions in Africa. The purpose of this review is to map the evidence of self-management interventions for GD in Africa. METHODS: Searches for records were conducted in four major databases, including PubMed, PubMed Central, Science Direct and Journal Storage. Additional documents from Google and Google Scholar were also added. The guidelines for conducting scoping reviews by Arksey and O'Malley were followed. RESULTS: The results revealed that intermittent fasting, education on diet, insulin injection, blood glucose monitoring, physical activities, lifestyle modification and foot care were the available self-management interventions for GD in Africa. Most of the reviewed studies reported intermittent fasting and patient education as effective self-management interventions for GD in Africa. The barriers identified in the reviewed studies were either patient-related or facility-related. Patient-related barriers included lack of awareness, and negative attitude, while facility-related barriers included lack of access to education on GD, especially, face-to-face educational interventions. CONCLUSION: It is crucial to consider the cultural and personal needs, as well as the educational level of women with gestational diabetes when creating an effective self-management intervention. Optimal results can be achieved for self-management of gestational diabetes by integrating multidisciplinary approaches.

Healthcare costs attributable to diabetes in pregnancy: A cost of illness study in Tasmania, Australia.

AIMS: To estimate the direct costs during the prenatal, delivery and postpartum periods in mothers with diabetes in pregnancy, compared to those without. METHODS: This study used a population-based dataset from 2004 to 2017, including 57,090 people with diabetes and 114,179 people without diabetes in Tasmania, Australia. Based on diagnostic codes, delivery episodes with gestational diabetes mellitus (GDM) were identified and matched with delivery episodes without diabetes in pregnancy. A group of delivery episodes with pre-existing diabetes was identified for comparison. Hospitalisation, emergency department and pathology costs of these groups were calculated and adjusted to 2020-2021 Australian dollars. RESULTS: There were 2774 delivery episodes with GDM, 2774 delivery episodes without diabetes and 237 delivery episodes with pre-existing diabetes identified. Across the 24-month period, the pre-existing diabetes group required the highest costs, totalling $23,536/person. This was followed by the GDM ($13,210/person), and the no diabetes group ($11,167/person). The incremental costs of GDM over the no diabetes group were $890 (95% CI 635; 1160) in the year preceding delivery; $812 (616; 1031) within the delivery period and $341 (110; 582) in the year following delivery (p < 0.05). Within the year preceding delivery, the incremental costs in the prenatal period were $803 (579; 1058) (p < 0.05). Within the year following delivery, the incremental costs in the postpartum period were $137 (55; 238) (p < 0.05). CONCLUSIONS: Our results emphasised the importance of proper management of diabetes in pregnancy in the prenatal and postpartum periods and highlighted the significance of screening and preventative strategies for diabetes in pregnancy.

Gestational diabetes mellitus management according to ultrasound fetal growth versus strict glycemic treatment in singleton pregnancies: A systematic review and meta-analysis of clinical trials.

AIM: The objective of this meta-analysis was to evaluate obstetric outcomes in gestational diabetes mellitus (GDM) patients treated with flexible management based on intrauterine ultrasound fetal growth (FMIUFG) or strict maternal glycemic adjustment (SMGA). METHODS: We performed a comprehensive systematic review of electronic databases for randomized clinical trials (RCTs) comparing obstetrics outcomes of singleton GDM patients managed according to FMIUFG or SMGA. The review protocol was registered in PROSPERO (CRD497888). Searches were conducted in PubMed, Embase, Cochrane, and LILACS. Primary outcomes were gestational age at delivery and birth weight. Random-effect model meta-analyses were used to minimize the effects of uncertainty associated with inter-study variability. Results are reported as standardized mean differences (SMDs) or as odds ratios (ORs) and their 95% confidence interval (CI). Heterogeneity between studies was estimated using the I2 statistic. The Cochrane Risk of Bias Scale was used to assess the quality of studies. There were five RCTs with low to moderate risk of bias, including 450 patients managed according to the FMIUFSG and 381 according to the SMGA. RESULTS: The macrosomia (birthweight >4000 g) rate was lower in pregnancies managed according to FMIUFG than SMGA adjustments (OR: 0.34; 95%CI: 0.16, 0.71). There were no significant differences in hypertensive disorder, cesarean section, neonatal intensive care unit admission, and large newborn for gestational age rates. CONCLUSIONS: The macrosomia rate was lower in women managed with the FMIUFG. There were no significant differences in other obstetric and neonate outcomes.

Diagnosis and Treatment of Hyperglycemia in Pregnancy: Type 2 Diabetes Mellitus and Gestational Diabetes.

Hyperglycemia in pregnancy due to pre-existing Type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) is rising globally with increasing rates of risk factors for metabolic disease. This review summarizes current evidence and recommendations from national and international guidelines for diagnosis and management of T2DM and GDM to optimize maternal and neonatal outcomes.

Continuous Glucose Monitoring for Diabetes Management During Pregnancy: Evidence, Practical Tips, and Common Pitfalls.

Continuous glucose monitoring (CGM) has the potential to revolutionize diabetes management during pregnancy by providing detailed and real-time data to patients and clinicians, overcoming many of the limitations of self-monitoring of blood glucose. Although there are limited data on the role of CGM to improve pregnancy outcomes in patients with type 2 diabetes or gestational diabetes, CGM has been shown to reduce pregnancy complications in patients with type 1 diabetes. Despite the limited data in some populations, given its ease of use and recent U.S. Food and Drug Administration approval with expanding insurance coverage, CGM has gained widespread popularity among pregnant patients with all types of diabetes. It is critical for obstetric clinicians to understand how CGM can be successfully integrated into clinical practice. We present a practical, step-wise approach to CGM data interpretation that can be incorporated into diabetes management during pregnancy and common CGM pitfalls and solutions. Although technology will continue to advance with newer-generation CGM devices and diabetes technology such as automated insulin delivery (not covered here), these key principles form a basic foundation for understanding CGM technology and its utility for pregnant people.

Exploring the determinants of oral health care uptake among women with gestational diabetes mellitus: A qualitative study to develop a logic model and framework for an oral health intervention.

INTRODUCTION: Gestational diabetes mellitus (GDM) is a condition of glucose intolerance in pregnancy. Oral health has been shown to mediate blood glucose management and pregnancy outcomes. There is also a greater prevalence of poor oral health in GDM pregnancies when compared to normoglycemic pregnancies. While current guidelines recommend an oral health review as part of diabetes and pregnancy management, it is under-considered in GDM care. Hence, it is important to understand how to improve oral health care in this context. AIM: To explore the determinants of oral health care uptake among women with GDM to develop a logic model for an intervention to improve awareness and activation of oral health behaviours in this population. METHODS: Semi-structured interviews were used to collect the data and the Theoretical Domains Framework inspired the interview guide. The study population consisted of UK-based women with GDM over 18 years of age. The data were analysed with Framework Analysis and the COM-B Model was used to orientate the data. RESULTS: Seventeen women participated in the study. Five themes including knowledge about oral health; the health of the baby; the impact of the GDM diagnosis; social support and barriers and facilitators were found to influence the uptake of oral health care. CONCLUSIONS: This study developed an evidence-based logic model of the determinants of oral health care uptake among women with GDM. This will serve as a framework for developing an oral health intervention. This study may be the starting point for initiating conversations about implementing oral health care in GDM management.

Epidemiology and management of gestational diabetes.

Gestational diabetes is defined as hyperglycaemia first detected during pregnancy at glucose concentrations that are less than those of overt diabetes. Around 14% of pregnancies globally are affected by gestational diabetes; its prevalence varies with differences in risk factors and approaches to screening and diagnosis; and it is increasing in parallel with obesity and type 2 diabetes. Gestational diabetes direct costs are US$1·6 billion in the USA alone, largely due to complications including hypertensive disorders, preterm delivery, and neonatal metabolic and respiratory consequences. Between 30% and 70% of gestational diabetes is diagnosed in early pregnancy (ie, early gestational diabetes defined by hyperglycaemia before 20 weeks of gestation). Early gestational diabetes is associated with worse pregnancy outcomes compared with women diagnosed with late gestational diabetes (hyperglycaemia from 24 weeks to 28 weeks of gestation). Randomised controlled trials show benefits of treating gestational diabetes from 24 weeks to 28 weeks of gestation. The WHO 2013 recommendations for diagnosing gestational diabetes (one-step 75 gm 2-h oral glucose tolerance test at 24-28 weeks of gestation) are largely based on the Hyperglycemia and Adverse Pregnancy Outcomes Study, which confirmed the linear association between pregnancy complications and late-pregnancy maternal glycaemia: a phenomenon that has now also been shown in early pregnancy. Recently, the Treatment of Booking Gestational Diabetes Mellitus (TOBOGM) trial showed benefit in diagnosis and treatment of early gestational diabetes for women with risk factors. Given the diabesity epidemic, evidence for gestational diabetes heterogeneity by timing and subtype, and advances in technology, a life course precision medicine approach is urgently needed, using evidence-based prevention, diagnostic, and treatment strategies.

Call to action for a life course approach.

Gestational diabetes remains the most common medical disorder in pregnancy, with short-term and long-term consequences for mothers and offspring. New insights into pathophysiology and management suggest that the current gestational diabetes treatment approach should expand from a focus on late gestational diabetes to a personalised, integrated life course approach from preconception to postpartum and beyond. Early pregnancy lifestyle intervention could prevent late gestational diabetes. Early gestational diabetes diagnosis and treatment has been shown to be beneficial, especially when identified before 14 weeks of gestation. Early gestational diabetes screening now requires strategies for integration into routine antenatal care, alongside efforts to reduce variation in gestational diabetes care, across settings that differ between, and within, countries. Following gestational diabetes, an oral glucose tolerance test should be performed 6-12 weeks postpartum to assess the glycaemic state. Subsequent regular screening for both dysglycaemia and cardiometabolic disease is recommended, which can be incorporated alongside other family health activities. Diabetes prevention programmes for women with previous gestational diabetes might be enhanced using shared decision making and precision medicine. At all stages in this life course approach, across both high-resource and low-resource settings, a more systematic process for identifying and overcoming barriers to preventative care and treatment is needed to reduce the current global burden of gestational diabetes.

Estimation of the direct health and indirect societal costs of diabetes in the UK using a cost of illness model.

AIMS: The direct cost of diabetes to the UK health system was estimated at around £10 billion in 2012. This analysis updates that estimate using more recent and accurate data sources. METHODS: A pragmatic review of relevant data sources for UK nations was conducted, including population-level data sets and published literature, to generate estimates of costs separately for Type 1, Type 2 and gestational diabetes. A comprehensive cost framework, developed in collaboration with experts, was used to create a population-based cost of illness model. The key driver of the analysis was prevalence of diabetes and its complications. Estimates were made of the excess costs of diagnosis, treatment and diabetes-related complications compared with the general UK population. Estimates of the indirect costs of diabetes focused on productivity losses due to absenteeism and premature mortality. RESULTS: The direct costs of diabetes in 2021/22 for the UK were estimated at £10.7 billion, of which just over 40% related to diagnosis and treatment, with the rest relating to the excess costs of complications. Indirect costs were estimated at £3.3 billion. CONCLUSIONS: Diabetes remains a considerable cost burden in the UK, and the majority of those costs are still spent on potentially preventable complications. Although rates of some complications are reducing, prevalence continues to increase and effective approaches to primary and secondary prevention continue to be needed. Improvements in data capture, data quality and reporting, and further research on the human and financial implications of increasing incidence of Type 2 diabetes in younger people are recommended.