Management Of Gestational Diabetes Mellitus Research Articles

Preventing Gestational Diabetes with a Healthy Gut Diet: Protocol for a Pilot, Feasibility Randomized Controlled Trial

Around 14% of pregnancies globally are affected by gestational diabetes mellitus (GDM), making it one of the most common disorders experienced by women in pregnancy. While dietary, physical activity and supplement interventions have been implemented to prevent GDM, with varying levels of success, altering the gut microbiota through diet is a promising strategy for prevention. Several studies have demonstrated that women with GDM likely have a different gut microbiota to pregnant women without GDM, demonstrating that the gut microbiota may play a part in glycemic control and the development of GDM. To date, there have been no randomized controlled trials using diet to alter the gut microbiota in pregnancy with the aim of preventing GDM. Here, we present the study protocol for a single-blind randomized controlled trial which aims to determine the effectiveness of the Healthy Gut Diet on reducing the diagnosis of GDM in pregnant women with one or more risk factors. Consenting women will be randomized into either the Healthy Gut Diet intervention group or the usual care (control) group after 11 weeks gestation. The women in the intervention group will receive three telehealth counseling appointments with an Accredited Practicing Dietitian with the aim of educating and empowering these women to build a healthy gut microbiota through their diet. The intervention was co-designed with women who have lived experience of GDM and incorporates published behavior change techniques. The control group will receive the usual care and will also be shown a brief (3 min) video on general healthy eating in pregnancy. The primary outcome is the diagnosis of GDM at any stage of the pregnancy. Secondary outcomes include changes to gut microbiota composition and diversity; gestational weight gain; maternal and infant outcomes; management of GDM (where relevant); dietary quality and intake; physical activity; and depression scoring. We aim to recruit 120 women over 16 months. Recruitment commenced in January 2023. The trial has been registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622001285741).

Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors.

Gestational diabetes mellitus (GDM) is an increasing health risk for pregnant women as well as their children. Telehealth interventions targeted at the management of GDM have been shown to be effective, but they still require health care professionals for providing guidance and feedback. Feedback from wearable sensors has been suggested to support the self-management of GDM, but it is unknown how self-tracking should be designed in clinical care. This study aimed to investigate how to support the self-management of GDM with self-tracking of continuous blood glucose and lifestyle factors without help from health care personnel. We examined comprehensive self-tracking from self-discovery (ie, learning associations between glucose levels and lifestyle) and user experience perspectives. We conducted a mixed methods study where women with GDM (N=10) used a continuous glucose monitor (CGM; Medtronic Guardian) and 3 physical activity sensors: activity bracelet (Garmin Vivosmart 3), hip-worn sensor (UKK Exsed), and electrocardiography sensor (Firstbeat 2) for a week. We collected data from the sensors, and after use, participants took part in semistructured interviews about the wearable sensors. Acceptability of the wearable sensors was evaluated with the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Moreover, maternal nutrition data were collected with a 3-day food diary, and self-reported physical activity data were collected with a logbook. We found that the CGM was the most useful sensor for the self-discovery process, especially when learning associations between glucose and nutrition intake. We identified new challenges for using data from the CGM and physical activity sensors in supporting self-discovery in GDM. These challenges included (1) dispersion of glucose and physical activity data in separate applications, (2) absence of important trackable features like amount of light physical activity and physical activities other than walking, (3) discrepancy in the data between different wearable physical activity sensors and between CGMs and capillary glucose meters, and (4) discrepancy in perceived and measured quantification of physical activity. We found the body placement of sensors to be a key factor in measurement quality and preference, and ultimately a challenge for collecting data. For example, a wrist-worn sensor was used for longer compared with a hip-worn sensor. In general, there was a high acceptance for wearable sensors. A mobile app that combines glucose, nutrition, and physical activity data in a single view is needed to support self-discovery. The design should support tracking features that are important for women with GDM (such as light physical activity), and data for each feature should originate from a single sensor to avoid discrepancy and redundancy. Future work with a larger sample should involve evaluation of the effects of such a mobile app on clinical outcomes. Clinicaltrials.gov NCT03941652; https://clinicaltrials.gov/study/NCT03941652.

Psychosocial and sociodemographic factors associated with gestational blood glucose levels in women attending public hospitals: Results from baseline of MAASTHI cohort.

Understanding psychosocial environment is important for improving maternal and fetal health outcomes during pregnancy. We aimed to identify the association between gestational blood glucose levels and psychosocial and demographic factors in pregnant women. In the MAASTHI pregnancy cohort in Bengaluru, we assessed depressive symptoms, and social support using validated scales at baseline in first trimester. A 2-hour 75 g oral glucose tolerance test (OGTT) was administered between 24-36 weeks of gestation. We examined the relation between psychosocial factors assessed at baseline and gestational blood glucose levels in second/third trimester using multivariate linear regression and explored association between serum cortisol and gestational blood glucose levels in subgroup samples. We found that 9% of pregnant women had depressive symptoms and 14.3% had Gestational Diabetes Mellitus (GDM). Psychosocial factors, including depressive symptoms, have a significant correlation with gestational fasting(β = 0.12, p-value<0.05) and postprandial blood sugar level(β = 0.23, p-value<0.05) and poor social support were found to have a significant association with gestational fasting blood glucose levels(β = 1.45, p-value <0.05) and postprandial blood sugar levels(β = 2.60, p-value <0.05). The sociodemographic factors such as respondent education, occupation, social and economic status were associated with gestational blood sugar after adjusting for potential confounder variables. Depressive symptoms and poor social support earlier in pregnancy were significantly associated with increased gestational blood glucose levels. Early detection and recognition of modifiable psychosocial risk factors can reduce glucose intolerance during pregnancy. Evaluating the benefits of screening for psychosocial factors and timely management of gestational diabetes mellitus can be helpful in India.

Integration of clinical demographics and routine laboratory analysis parameters for early prediction of gestational diabetes mellitus in the Chinese population.

Gestational diabetes mellitus (GDM) is one of the most common complications in pregnancy, impairing both maternal and fetal health in short and long term. As early interventions are considered desirable to prevent GDM, this study aims to develop a simple-to-use nomogram based on multiple common risk factors from electronic medical health records (EMHRs). A total of 924 pregnant women whose EMHRs were available at Peking University International Hospital from January 2022 to October 2022 were included. Clinical demographics and routine laboratory analysis parameters at 8-12 weeks of gestation were collected. A novel nomogram was established based on the outcomes of multivariate logistic regression. The nomogram demonstrated powerful discrimination (the area under the receiver operating characteristic curve = 0.7542), acceptable agreement (Hosmer-Lemeshow test, P = 0.3214) and favorable clinical utility. The C-statistics of 10-Fold cross validation, Leave one out cross validation and Bootstrap were 0.7411, 0.7357 and 0.7318, respectively, indicating the stability of the nomogram. A novel nomogram based on easily-accessible parameters was developed to predict GDM in early pregnancy, which may provide a paradigm for repurposing clinical data and benefit the clinical management of GDM. There is a need for prospective multi-center studies to validate the nomogram before employing the nomogram in real-world clinical practice.

Analysis, validation, and discussion of key genes in placenta of patients with gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy, which can have harmful health consequences for both the mother and the fetus. Given the placenta's crucial role as an endocrine organ during pregnancy, exploring and validating key genes in the placenta hold significant potential in the realm of GDM prevention and treatment. In this study, differentially expressed genes (DEGs) were identified from two databases, GSE70493 and PRJNA646212, and verified by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in placenta tissues. DEGs expression was detected in normal or high-glucose-treated HTR8/SVneo cells. We also investigated the relationship between DEGs and glucose levels in GDM patients. By selecting the intersection of the two databases, we screened 20 DEGs, which were validated in GDM patients. We observed an up-regulation of SLAMF, ALDH1A2, and CHI3L2, and a down-regulation of HLA-E, MYH11, HLA-DRB5, ITGAX, GZMB, NAIP, TMEM74B, RANBP3L, PAEP, WT-1, and CEP170. We conducted further investigations into the expression of DEGs in HTR8/SVneo cells exposed to high glucose, revealing a significant upregulation in the expression of SERPINA3, while the expressions of HLA-E, BCL6, NAIP, PAEP, MUC16, WT-1, and CEP170 were decreased. Moreover, some DEGs were confirmed to have a positive or negative correlation with blood glucose levels of GDM patients through correlation analysis. The identified DEGs are anticipated to exert potential implications in the prevention and management of GDM, thereby offering potential benefits for improving pregnancy outcomes and long-term prognosis of fetuses among individuals affected by GDM.

A qualitative study exploring partner involvement in the management of gestational diabetes mellitus: The experiences of women and partners.

The aims of the study were to explore the experiences of women with gestational diabetes mellitus (GDM) and their partners and examine the factors influencing partner involvement in GDM management, seeking to inform a targeted couple-based intervention. A descriptive qualitative study. We conducted semi-structured interviews with 14 women with GDM and their partners. Participants were recruited through convenience sampling from a tertiary hospital in Xi'an, China. Data were analysed using thematic analysis. Three themes and 12 subthemes were identified. Theme I: Women's expectations of their partner's involvement in GDM management-practical support and emotional support. Theme II: Partner involvement in GDM management-constructive involvement, unhelpful involvement with good intentions and insufficient involvement. Theme III: Factors that influence partner involvement in GDM-knowledge of GDM, GDM risk perception, health consciousness, attitudes towards the treatment plan, couple communication regarding GDM management, family roles and appraisal of GDM management responsibility. Women desired practical and emotional support from partners. The types of partner involvement in GDM management varied. Some partners provided constructive support, while some partners' involvement was limited, non-existent or actively unhelpful. By combining these results with the factors influencing partner involvement, our findings may help healthcare professionals develop strategies to involve partners in GDM care and enhance women's ability to manage GDM. Partner involvement in GDM care may help them understand and better attend to women's needs, thus improving their experience and potential outcomes. This study highlights novel factors that need to be considered in developing couple-based interventions for this population. The reporting follows the COREQ checklist. Some patients were involved in data interpretation. There is no public contribution.

Review on pharmacological therapies for management of gestational diabetes

The prevalence of Gestational Diabetes Mellitus (GDM) is increasing and is closely linked to numerous negative pregnancy outcomes. To mitigate these risks, early identification and management of GDM is critical. Treatment for GDM aims to maintain normal blood sugar levels and typically includes glucose monitoring, adjustments to diet, lifestyle changes, moderate physical activity, and medication as necessary. Insulin administration is generally the preferred choice for pharmacotherapy, but oral drugs such as metformin or glyburide may also be appropriate. Compared to glyburide, which has been linked to higher birth weight, neonatal hypoglycemia, raising the risk of shoulder dystocia, and necessitating a caesarean delivery, metformin is seen to be a safe first-line therapy. It should be emphasized that some expecting mothers choose complementary and alternative therapies, such as traditional herbal supplements and treatments. This review article will address present pharmacological options and considerations associated with treating GDM.

Knowledge, Attitude and Practice of Patients with Gestational Diabetes Mellitus Regarding Gestational Diabetes Mellitus: A Cross-Sectional Study.

Self-monitoring of blood glucose levels and changes in diet and lifestyle play important roles in the management of gestational diabetes mellitus (GDM). This cross-sectional study enrolled patients with GDM at Hangzhou Women's Hospital, China, between September 1, 2022, and October 26, 2022. A questionnaire was designed that included the following dimensions: demographic/clinical information, knowledge, attitude and practice. Correlations between knowledge, attitude and practice scores were evaluated using Spearman correlation analysis. Factors associated with practice score ≥14/16 were identified using multivariate logistic regression. The analysis included 499 women with GDM and a mean age of 31.22±3.89 years. The average knowledge, attitude and practice score were 11.55±3.04, 34.23±4.06 and 10.7±2.87 points, respectively. Knowledge score was positively correlated with attitude score (r=0.318, P<0.001) and practice score (r=0.351, P<0.001); attitude and practice scores were also positively correlated (r=0.209, P<0.001). Multivariate analysis identified higher knowledge score (odds ratio [OR], 1.138; 95% confidence interval [95% CI], 1.042-1.244; P=0.004) and higher attitude score (OR, 1.137; 95% CI, 1.060-1.219; P<0.001) as independently associated with good practice (ie, practice score ≥14 points). The results provide important insights into the knowledge, attitudes and practices of women with GDM in China regarding GDM and its management. These findings may facilitate the development and implementation of education and training programs to improve the self-management of GDM by women in China.

The Effectiveness of Lifestyle Changes in Glycemic Control among Pregnant Women with Gestational Diabetes Mellitus.

Background and Objectives: Gestational diabetes mellitus (GDM) is a type of diabetes that develops during pregnancy and affects approximately 10% of pregnant women worldwide. Understanding the impact of lifestyle changes on glycemic control in GDM is important for improving maternal and fetal outcomes and reducing the risk of diabetes in both the mother and child. The aim of this study is to evaluate the effectiveness as well as the factors affecting glycemic control by lifestyle changes in pregnant women with GDM. Materials and Methods: A descriptive cross-sectional study was conducted at three hospitals in the Thai Binh Province from June 2021 to May 2022. All pregnant women at 24-28 weeks of gestation, aged 18 years or older, were enrolled. GDM was diagnosed according to the guidelines of the International Association of the Diabetes and Pregnancy Study Groups. Lifestyle changes including diet and physical exercise were carried out for two weeks. The main outcome measured was successful glycemic control according to the 2018 ADA Recommendations for the Management and Treatment of GDM. Results: 1035 women were included and 20.2% diagnosed with GDM. After two weeks of lifestyle change intervention, 82.6% of the pregnant women with GDM had successful glycemic control. Pregnant women aged under 35 years had a 3.2 times higher rate of gestational glycemic control than those older than 35 (aOR = 3.22, p-value = 0.004). Women with a pre-pregnancy BMI of less than 25 had a higher rate of gestational glycemic control than those with a BMI of over 25 (aOR = 10.84, p-value < 0.001). Compared to women who had all three diagnostic criteria for gestational diabetes, those with two diagnostic criteria and one criterion were 3.8 times and 3 times more likely to have successful blood sugar control (aOR = 3.78, p-value = 0.01 and aOR = 3.03, p-value = 0.03, respectively). Conclusion: Lifestyle changes can be an effective measure for achieving glycemic control in women with GDM. Healthcare providers should consider individualized treatment plans based on the specific needs of each patient.

Effects of an Eating Pattern Including Colorful Fruits and Vegetables on Management of Gestational Diabetes: A Randomized Controlled Trial.

Gestational diabetes mellitus (GDM), defined as abnormal glucose tolerance that presents during the second and third trimesters of pregnancy, is a growing issue in the United States and worldwide. If left untreated or poorly controlled, GDM can result in numerous consequences for both the mother and the fetus; thus, it is imperative that different avenues of management for GDM be explored. There is a paucity of studies that examine how lifestyle changes, including dietary and physical activity, affect management of GDM. We examined how counseling on lifestyle changes can affect cardiometabolic risks in women with GDM. We conducted a 12-week randomized controlled trial based on behavioral counseling in which women with GDM (N = 38) were randomized into either a nutrition education (control) (N = 18) group or nutrition intervention (N = 20) group. The nutrition education group were given dietary counseling regarding healthy dietary choices based on USDA guidelines, while the nutrition intervention group were instructed to consume a total of one cup of whole berries and one cup of leafy vegetables daily along with performing postprandial exercise (walking). Blood samples, anthropometric measures, and dietary and physical activity data, recorded in daily food and activity logs, were collected at baseline and at the end of the study and compared between the two groups. Dietary counseling on supplementation with whole berries and leafy vegetables resulted in increased fiber intake, increased antioxidant intake and total serum antioxidant capacity, improved random blood glucose, decreased serum IL-6, and improved HDL cholesterol versus the control group (all p < 0.05). These results highlight that whole berry and leafy vegetable supplementation-based dietary counseling can improve the metabolic pathways involved in gestational diabetes pathogenesis and prognosis. These functional foods must be recommended in the management of pregnancies affected by GDM.

Statistical analysis plan and protocol updates for Gestational diabetes in Uganda and India: Design and Evaluation of Educational Films for Improving Screening and Self-management (GUIDES) trial

BackgroundTimely detection and management of gestational diabetes mellitus (GDM) have been identified as a high priority for policymakers in low- and middle-income countries (LMICs). The GUIDES trial will evaluate a package of three interconnected film-based interventions aimed at improving the timely detection and management of GDM. The protocol for this trial has previously been published; this publication outlines the statistical analysis plan for the trial.Methods and designThe GUIDES study is a multi-country cluster-randomised controlled trial consisting of one trial conducted in Uganda and one in India (30 clusters in each country). Mixed effects models will be used to compare the primary study outcomes of the proportion of women who are tested for GDM between 24 and 32 weeks of pregnancy and the mean fasting blood sugar of women with GDM at 34-week follow-up while accounting for clustering. Secondary analyses will compare the proportion of women with self-reported GDM diagnosis at 32 weeks of pregnancy and the proportion of women with adverse perinatal outcomes related to GDM up to 4 weeks after birth in each trial arm.Trial status and discussionFollow-up is expected to end in March 2023 in Uganda and in May 2023 in India. Analyses will be carried out following this statistical analysis plan in the month following trial completion.Trial registrationClinicalTrials.gov NCT03937050. Registered on 3 May 2019. Clinical Trials Registry India CTRI/2020/02/023605. Registered on 26 February 2020.

The impact of gestational diabetes mellitus on perceived mother-infant bonding: a qualitative study

ABSTRACT Background The prevalence of gestational diabetes mellitus (GDM) is rapidly increasing. It is associated with adverse physical and mental health outcomes for women and their babies. Mother-infant bonding is important for maternal health and infant development, but the effect of GDM on mother-infant bonding has not been examined. Objective To explore and describe the impact of GDM on perceived mother infant-bonding in the antenatal and postnatal period. Methods Qualitative, individual, semi-structured interviews were conducted with 33 women from diverse backgrounds with current or previous GDM. Data were analysed using reflexive inductive thematic analysis. Results Three main themes were generated from the analysis: 1) Concern for baby's health and its impact on bonding; 2) GDM management, the pregnancy experience, and bonding; 3) Continuity and discontinuity of the impact on bonding between the antenatal and postnatal periods. Conclusion It was found that GDM can have both positive and negative impacts on perceived mother-infant bonding, which appear to change over the course of the perinatal period. Further observational research is needed to assist in understanding the impact of GDM on mother-infant bonding and the potential mediating effect of mental disorders, including depression.

A qualitative investigation into the perceptions and experiences of the stigma attached to gestational diabetes mellitus among women in Denmark

AimThe aim of this study was to explore the perceptions of women with gestational diabetes mellitus (GDM) in Denmark, with a particular focus on GDM-specific stigma. MethodWe conducted semi-structured interviews with 20 women with GDM from January to May 2022. All interviews were transcribed and analysed abductively using Braun and Clarke’s framework for applied reflexive analysis. ResultsFive themes were identified, 1) victim-blaming narrative, 2) identity threat, 3) non-disclosure and anticipated stigma, 4) stigma in a clinical setting, and 5) stigma reduction in a clinical setting. Additionally, intersectionality was identified between GDM-specific stigma, notions of how to be a good mother, and stigma associated with having type 2 diabetes mellitus and overweight. Implications of GDM-specific stigma included suboptimal GDM care and management, i.e., not attending screening for GDM, and not wanting to disclose the diagnosis. ConclusionThe impact of GDM-specific stigma on the informants’ lives included some informants not accepting all services provided by the healthcare system, and some not wanting to identify with the diagnosis. These findings may help inform both healthcare personnel and future health promotion interventions to minimize the reproduction of a victim-blaming narrative and thereby promote well-being among women with GDM.

Diagnosis and management of gestational diabetes mellitus

Background: Gestational diabetes mellitus (GDM) is a condition characterized by hyperglycemia that is first diagnosed during pregnancy. It increases both fetal and maternal risk and is related to future metabolic abnormalities in women and their offspring. Therefore, appropriate diagnosis and management of GDM are crucial.Current Concepts: There are two strategies to diagnose GDM—a one-step strategy comprising a 75 g oral glucose tolerance test (OGTT), and a two-step strategy involving a 50 g OGTT followed by a 100 g OGTT. The former can detect more glucose abnormality during pregnancy; however, either method is acceptable, considering the evidence regarding pregnancy outcomes. The mainstay of glucose management in GDM is medical nutrition therapy with appropriate physical activity and self-monitoring of glucose. Insulin therapy is required if hyperglycemia cannot be controlled by lifestyle interventions. Generally, insulin therapy is immediately discontinued after childbirth, and 75 g OGTT is recommended at 4 to 12 weeks in the postpartum period and every 1 to 3 years thereafter. Lifestyle intervention is important in women with a history of GDM to prevent future diabetes.Discussion and Conclusion: GDM prevalence is increasing because of higher maternal age and prevalent obesity. Healthcare providers and women of childbearing age need to be more careful with regard to the detection and management of GDM, and treatment strategies should be personalized.

Exercise intervention during pregnancy induces DNA methylation alterations in maternal blood and cord blood.

Exercise intervention during pregnancy induces DNA methylation alterations in maternal blood and cord blood.

Gestational Diabetes Mellitus: An overview and its potential treatment with herbs

Gestational Diabetes Mellitus (GDM) is a hyperglycemia condition with onset in the second or third trimester of pregnancy. Currently, the first-line prevention and management of GDM are lifestyle modifications that must be implemented throughout pregnancy, even before pregnancy. When lifestyle management is unable to maintain normoglycemia in pregnancy, treatment therapy such as insulin and/or oral antidiabetic drugs is needed. Insulin as a first-choice therapy still has drawbacks, including its high price, potential weight gain, hypoglycemia, and uncomfortable route of administration. Herbal therapy using plant extracts and bioactive compounds with antidiabetic effects has become a concern as preventive, alternative, and complementary therapy. This article will provide information about GDM and the potential of herbal plants that can be used in the treatment of GDM. This review will focus on recent herbal remedies derived from various types of medicinal plants that have been validated through scientific evaluation as promising treatments for GDM. Data was collected through Google Scholar using the keywords "herbs and gestational diabetes mellitus". The references were articles with publication years from 2019 to 2023, written in English, original research, and free full-text articles that were relevant. 6,970 works of literature met the keywords "herbs and gestational diabetes mellitus". Then we selected 15 articles that were most relevant. The bioactive compounds found in plants may be used in the future to complement current treatment strategies for GDM. This review has demonstrated that herbal plants can reduce blood glucose levels in GDM. Additionally, unsaturated fatty acids have also shown the potential for lowering blood glucose levels in GDM. These findings have beneficial effects in regulating glucose metabolism, reducing inflammation, and protecting against oxidative damage associated with GDM.

Drug vs Self-Care Management of Gestational Diabetes Mellitus: Knowledge and Practices of Women Attending Antenatal Clinics of Faisalabad

Gestational diabetes mellitus is a significant and growing global health issue. Objectives: To assess the knowledge of women attending antenatal clinics in Faisalabad regarding GDM and its self-care management practices. Methodology: A descriptive cross-sectional study. The study's duration was 4 months from February 2023 to May 2023 and study setting areas included Allied Hospital Faisalabad and District Head Quatre Hospital Faisalabad. The population included women attending antenatal clinics in Faisalabad regarding GDM and its self-care management practices were assessed using a self-structured questionnaire. Results: Among the total of 384 participants, the majority (253; 65.9%) were less than 30 years old. Mostly (365; 95.1%) women are married. Mostly (201; 52.3%) are 26-30 years old during marriage. Mostly (160; 41.7%) are 1-5 Years have passed years of marriage. The results revealed that the majority of the participant nurses had an average level of practice 49.99%, below average level of attitude 22.52% and a satisfactory level of knowledge, 82.33%.

Prevalence of abnormal glucose values and gestational diabetes mellitus among pregnant women in Xi’an from 2015 to 2021

BackgroundPregnant women with gestational diabetes mellitus (GDM) often have an increased risk of adverse pregnancy outcomes. The purpose of this study was to explore the prevalence and characteristics of GDM in Xi’an from 2015 to 2021 since the implementation of China’s “Two-Child policy” and to provide a clinical basis for the management of GDM.MethodsWe analyzed the oral glucose tolerance test (OGTT) results of 152,836 pregnant women who underwent routine prenatal examination at the Northwest Women and Children’s Hospital from 2015 to 2021. Additionally, we analyzed the GDM prevalence and characteristics.ResultsThe prevalence of GDM in the Xi’an urban area was 24.66% and exhibited an increasing trend annually (χ2 for trend = 43.922, p < 0.001) and with age (χ2 for trend = 2527.000, p < 0.001). Consistent with this, the proportion of pregnant women aged 18–25 and 26–30 years decreased significantly with the annual growth (χ2 for trend = 183.279, p < 0.001 and χ2 for trend = 33.192, p < 0.001, respectively). The proportion of pregnant women aged 31–35 and 36–42 years increased gradually annually (χ2 for trend = 134.436, p < 0.001and χ2 for trend = 44.403, p < 0.001, respectively). Of the pregnant women diagnosed with GDM, 71.15% (65.05–74.95%) had abnormal fasting plasma glucose (FPG) values. The highest percentage of patients had a single abnormal OGTT value (68.31%; 65.77–70.61%), followed by two (20.52%; 18.79–22.55%) and three (11.17%; 10.11–11.85%) abnormal values (FPG and 1-h and 2-h plasma glucose (PG).ConclusionThe prevalence of GDM among pregnant women in Xi’an region was high, and it had a increasing trend over the period from 2015 to 2021. Notably, the proportion of elder pregnant women, aged 31–42 years, presented a significant rise after the implementation of the universal two-child policy. On the basis of the high incidence of GDM among elder pregnant women and the high rate of abnormal OGTT values (numbe ≥ 2) in pregnant women diagnosed with GDM, the management of GDM should be intensified, and relevant departments should pay more attention to pregnant women of advanced age.

Trends and associations between maternal characteristics and infant birthweight among Indigenous and non-Indigenous people in Tasmania, Australia: a population-based study

ObjectiveThis study aimed to investigate the trends and associations of maternal characteristics and birthweight among Indigenous and non-Indigenous infants. Study designThis was a retrospective population-based study. MethodsFourteen years (2005–2018) of birthweight and perinatal health data of live-born singletons and their mothers obtained from the Tasmanian Data Linkage Unit were used to assess the trends and associations between maternal characteristics and infant birthweight using regression modelling. ResultsCompared with non-Indigenous mothers (n = 76,750), Indigenous mothers (n = 3805) had a significantly higher prevalence of risk factors during the 14-year period. Although the prevalence of prepregnancy obesity and gestational diabetes mellitus (GDM) markedly increased in both groups, the rate of increase was higher (P < 0.001) for Indigenous than non-Indigenous mothers. Smoking, alcohol consumption and illegal drug use during pregnancy reduced over the years, and there was no significant difference in the rate of reduction between the groups. Large-for-gestational-age (LGA) births increased while small-for-gestational-age (SGA) births decreased in both groups over time. In addition, high birthweight (HBW) births decreased while low birthweight (LBW) births increased. The rates of increase in LGA and LBW births and the rates of decrease in SGA and HBW births were significantly higher in Indigenous mothers compared with non-Indigenous mothers (P < 0.001 for all). The association between Indigenous ethnicity and LBW and SGA births weakened after adjusting for other confounding maternal and perinatal variables. LBW and SGA were positively associated with Indigenous ethnicity, age <18 years, smoking, alcohol consumption and illegal drug use, pre-eclampsia, underweight prepregnancy body mass index and low socio-economic status. Women with higher parity, pre-existing diabetes and prepregnancy overweight or obesity were more likely to give birth to an infant with HBW or LGA. ConclusionsThe prevalence of risk factors for abnormal birthweight is higher among Tasmanian Indigenous mothers, contributing to a gap in birthweight outcomes between Indigenous and non-Indigenous infants. The dramatic increase in prepregnancy obesity and GDM in both groups highlight the importance of screening and management of GDM during pregnancy. Comprehensive programmes co-designed and co-managed in consultation with Indigenous people are needed to support healthy lifestyle choices among Indigenous women to address the barriers to individuals adopting behaviour change and to help close the health outcomes–related gap between Indigenous and non-Indigenous mothers and infants.

1199-P: Timing of Postprandial Peak CGM Glucose in Gestational Diabetes

Background: Current guideline recommendations for management of gestational diabetes mellitus (GDM) recommend capillary testing of blood glucose levels fasting and one-two hours postprandial. Use of intermittently-scanned continuous glucose monitors (isCGM) during pregnancy in women with GDM has the potential to improve fetal outcomes, however there are limited recommendations for their use. Optimal timing of postprandial testing is unknown. Methods: Women with GDM diagnosed after 24 weeks gestation were recruited and randomized to adjunctive use of isCGM versus capillary testing with blinded CGM. In this subanalysis of 8 participants, timing of peak CGM glucose value is compared to recommended 1-hour postprandial capillary value. Food logs and/or meter data from the first two weeks of participation were used for analysis. Results: A total of 265 meals were analyzed. Gestational age at analysis was 29±1.2 weeks. One participant was treated with insulin. Three participants used blinded CGM; 5 used isCGM. Mean peak CGM glucose was 100±11 mg/dL. Mean time to peak was 96±14 minutes. Seventy-four percent of peak glucoses were after one hour. Conclusions: Current recommendations for glucose monitoring may need to be adapted to use of new technology with isCGM. Our data found that if a user only scanned at one hour postprandial, they could miss the peak glucose for the majority of meals. Repeat scanning or retrospective review of isCGM data may be required to determine the timing of a user’s postprandial peaks in relation to glycemic goals. Factors like the lag in CGM glucose compared to capillary testing and meal content should be considered with isCGM use. Disclosure G.O'malley: Research Support; Dexcom, Inc., Abbott Diabetes, Tandem Diabetes Care, Inc., Omnipod, Eli Lilly and Company. M.Kononenko: None. S.J.Ogyaadu: None. C.Levister: Research Support; Dexcom, Inc., Tandem Diabetes Care, Inc., Abbott Diabetes. E.Ellis: None. D.Arumugam: None. L.Vieira: None. C.J.Levy: Advisory Panel; Dexcom, Inc., Research Support; Abbott Diabetes, Dexcom, Inc., Insulet Corporation, Tandem Diabetes Care, Inc., T1D Exchange. Funding Abbott Diabetes Care