The Relationship Between Gestational Diabetes and Antenatal Depression

Anxiety and Depression in Early Gestation and the Association with Subsequent Gestational Diabetes Mellitus in a Disadvantaged Population

OBJECTIVES

Evaluate the association between poor mental health and risk of developing gestational diabetes mellitus (GDM) in a cohort of women from a socioeconomically disadvantaged community.

METHODS

A total of 1363 nulliparous women with singleton pregnancies recruited to the Screening Tests to Predict Poor Outcomes of Pregnancy study in Adelaide, Australia. Women were assessed for mental health in the first trimester, including likelihood of depression, high functioning anxiety, perceived stress and risk of developing a mental health disorder. GDM was diagnosed based on the International Association of Diabetes in Pregnancy Study Group (IADPSG) criteria. Socioeconomic status was measured using the New Zealand Socioeconomic Index (NZSEI).

RESULTS

Complete mental health data was available for 1281 participants. There was no statistically significant difference in SEI, depression, risk of mental health issues, high functioning anxiety and perceived stress between women who developed GDM and those who did not. There was no difference in history of depression nor risk of developing a high mental health disorder in first trimester after adjusting for SEI, BMI in first trimester, smoking status in first trimester and maternal age between women with a GDM pregnancy and those who did not.

CONCLUSIONS FOR PRACTICE

There was no difference in markers of poor mental health in early pregnancy between women who subsequently did or did not develop GDM. Cohort participants were socioeconomically disadvantaged, potentially contributing to the lack of apparent differences in depression observed between groups. Socioeconomically disadvantaged women should be targeted in pre-conception planning to reduce risk of GDM.

A Comprehensive Review of Gestational Diabetes Mellitus: Impacts on Maternal Health, Fetal Development, Childhood Outcomes, and Long-Term Treatment Strategies

This review article conducts a comprehensive analysis of gestational diabetes mellitus (GDM) and its ramifications for both maternal health and the well-being of their offspring. GDM is a significant pregnancy complication in which women who have never had diabetes acquire chronic hyperglycemia during their gestational period. In most cases, hyperglycemia is caused by impaired glucose tolerance caused by pancreatic beta cell dysfunction in the background of chronic insulin resistance. Being overweight or obese, having an older mother age, and having a family history of any type of diabetes are all risk factors for developing GDM. GDM consequences include a higher risk of maternal cardiovascular disease (CVD) and type 2 diabetes, as well as macrosomia and delivery difficulties in the newborn. There is also a longer-term risk of obesity, type 2 diabetes, and cardiovascular disease in the infant. Premature birth, hypoglycemia at birth, and shoulder dystocia are also a few of the fetal problems that can result from GDM. Unfortunately, there is no widely acknowledged treatment or preventative strategy for GDM at the moment, except lifestyle modification (diet and exercise) and, on occasion, insulin therapy, which is only of limited value due to the insulin resistance that is commonly present. Although new oral medications for diabetes management, such as glyburide and metformin, show potential, there are ongoing worries regarding their safety over an extended period for both the mother and the child. By identifying gaps in the research, it calls for further investigations and a multidisciplinary approach, ultimately aiming to enhance the management and care for women with GDM, which would impact these affected individuals indubitably.

Coping, wellbeing, and psychopathology during high-risk pregnancy: A systematic review

OBJECTIVE

Complications during pregnancy can negatively impact the physical and psychological wellbeing of mothers. This systematic review aimed to synthesise evidence which has examined the impact of high-risk conditions developed during pregnancy on women's coping, wellbeing, and symptoms of psychopathology.

DATA SOURCES

Medline (Ovid), PsycINFO (ProQuest), Scopus, Web of science, AMED (Ebsco), CINAHL (Ebsco) and ProQuest databases were searched in May 2021 with no restrictions on publication date.

STUDY SELECTION

English-language literature was reviewed to identify 31 articles.

DATA EXTRACTION

Fifteen articles examined Gestational Diabetes Mellitus (GDM: 48%), nine examined multiple high-risk pregnancy conditions (29%), four examined Hypertensive disorders of pregnancy, Preeclampsia (PE: 13%), two did not specify the condition examined (7%), and one examined Pregnancy-Related Acute Kidney Injury (PR-AKI: 3%). The most common study design was quantitative, non-randomised, and survey-based.

DATA SYNTHESIS

Twenty-seven articles (87%) reported a high-risk pregnancy resulted in decreased wellbeing and ability to cope, and increased symptoms of psychopathology. The remaining four articles (13%) reported no difference in wellbeing or psychopathology outcomes for women experiencing high-risk compared to healthy pregnancies. Moreover, hypertensive disorders and GDM were associated with ineffective submissive or avoidant coping, reduced wellbeing, and quality-of-life, and exacerbated symptoms of anxiety and depression.

CONCLUSION

High-risk pregnancy negatively impacts coping, wellbeing, and psychopathology, and preventive and supportive interventions to mitigate this should focus on empowering women to feel optimistic and in control of their pregnancy. A holistic and culturally sensitive approach is recommended, where pregnant women (and their partners or support people) are involved in healthcare decisions, thus promoting wellbeing, coping, satisfaction, and improved treatment outcome.

The gestational diabetes future diabetes prevention study (GODDESS): A partially randomised feasibility controlled trial

OBJECTIVES

To assess the feasibility of an ante- and post-natal lifestyle intervention for women with gestational diabetes mellitus (GDM) to reduce type 2 diabetes risk.

DESIGN

A partially randomised patient preference feasibility trial.

SETTING

Diabetes antenatal clinics in two inner-London hospitals, UK.

PARTICIPANTS

Pregnant women ≥18 years with a GDM diagnosis and pre-pregnancy body mass index of ≥25kg/m2.

INTERVENTION

Participants in the intervention group were offered four motivational interview-based sessions (two antenatally and two postnatally, at 3 and 6 months postpartum), a WhatsApp support group, a FitBit and electronic self-help resources.

OUTCOME MEASURES

Recruitment; retention; intervention dose received; data completion; adaptions; proportion achieving ≥5% weight loss; weight change, blood glucose; blood pressure; diet, physical activity, breastfeeding and depression. Clinical outcomes were measured at baseline and 6 months postpartum.

RESULTS

50 participants were recruited from 155 eligible women (32% recruitment rate). Thirty-four were recruited to the intervention group (23 following randomisation (RI-group) and 11 based on preference (PI-group)); and 16 to the control group (13 randomised (RC-group) and 3 preference (PC-group)). Attrition was 44% (n = 22/50). Forty-six percent (n = 6) of the intervention group (25% (n = 2) of the RI-group and 80% (n = 4) of the PI-group) achieved ≥5% weight loss compared to 8% (n = 1) in the control group (95% confidence interval (CI) -0.69 to 0.07). Mean weight change was -2.1kg±9.0 in the intervention group (0kg±5.4 in the RI-group and -5.4kg±13.0 in the PI-group) compared to +4.4kg±4.9 in the control group (RC +4.4kg ±5.3 and PC +4.7kg ±3.1, 95% CI -12.4 to 0.2).

CONCLUSIONS

Recruitment was feasible, but strategies to improve retention are needed. The findings suggest the intervention can support women with GDM to lose weight. The observed weight loss was primarily in women who preferred the intervention. Therefore, future trials may need to adopt a preference design and consider factors associated with preference.

TRIAL REGISTRATION

Trial registration: ISRCTN52675820 https://www.isrctn.com/ISRCTN52675820?q=ISRCTN52675820&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10&searchType=basic-search.

Incidence and risk factors of gestational diabetes mellitus in Goba town, Southeast Ethiopia: a prospective cohort study

OBJECTIVE

Gestational diabetes mellitus (GDM) is becoming a public health concern in low/middle-income countries, and is known to cause severe morbidity and mortality for mothers and newborns. However, evidence reported for the incidence and risk factors of GDM is scant in Ethiopia. We aimed to assess the incidence of, and risk factors for, GDM in Goba town, Southeast Ethiopia.

DESIGN

Prospective cohort study.

SETTING

Goba town, Southeast Ethiopia.

PARTICIPANTS

Four hundred eighty pregnant women on antenatal care follow-up from 30 April to 30 September 2021.

PRIMARY AND SECONDARY OUTCOMES

Incidence and risk factors of GDM using fasting capillary blood glucose. Log-binomial model was used to identify the risk factors of GDM. Adjusted relative risk (aRR), along with 95% CIs, were calculated to estimate the strength of associations.

RESULTS

The cumulative incidence rate of GDM in this study was 15.7% (95% CI: 12.3% to 19.2%). Being unemployed (aRR=2.73; 95% CI: 1.36 to 5.47), having a family history of diabetes mellitus (DM) (3.01; 2.09 to 4.35), low physical activity (2.43; 1.11 to 5.32), inadequate dietary diversity (1.48; 1.29 to 1.92), anaemia (2.51; 1.32 to 3.54) and antenatal depression (4.95; 3.35 to 7.31) were significantly associated with GDM.

CONCLUSION

The cumulative incidence of GDM was relatively high among the study participants. Having antenatal depression symptoms, low physical activity, inadequate dietary diversity, being unemployed, anaemia and a family history of DM were significant risk factors for GDM.

Preconception mental health and the relationship between antenatal depression or anxiety and gestational diabetes mellitus: a population-based cohort study

Background

Antenatal depression and anxiety are highly prevalent conditions that have been associated with increased risk for myriad adverse outcomes. Current literature exploring the connection between antenatal mental health and gestational diabetes mellitus (GDM) is limited, presenting conflicting evidence. We sought to evaluate the association between antenatal depression/anxiety (DEP-ANX) and GDM using population-based, administrative data, accounting for aspects of preconception mental health.

Methods

In this population-based retrospective cohort study, we included all singleton births in British Columbia, Canada from April 1, 2000, to December 31, 2014. We identified instances of DEP-ANX from outpatient and inpatient records that included relevant diagnostic codes and stratified our cohort by preconception DEP-ANX persistence. Logistic regression models were run to estimate odds of GDM given antenatal DEP-ANX. Models were adjusted for the birthing person’s socio-demographics and pregnancy characteristics. Using an expanded cohort, we ran conditional logistic regression models that matched birthing people to themselves (in a subsequent pregnancy) based on discordance of exposure and outcome.

Results

Out of the 228,144 births included in this study, 43,664 (19.1%) were to birthing people with antenatal health service use for DEP-ANX. There were 4,180 (9.6%) cases of GDM among those antenatal exposure to DEP-ANX compared to 15,102 (8.2%) among those without exposure (SMD 0.049). We observed an unadjusted odds ratio (OR) of 1.19 (95% CI: 1.15 – 1.23) and fully adjusted OR of 1.15 (95% CI: 1.11 – 1.19) overall. Apparent risk for GDM given antenatal DEP-ANX was highest among the no DEP-ANX history stratum, with a fully adjusted OR of 1.24 (95% CI: 1.15 – 1.34). Associations estimated by matched sibling analysis were non-significant (fully adjusted OR 1.19 [95% CI: 0.86 – 1.63]).

Conclusions

Results from this population-based study suggest an association between antenatal DEP-ANX and GDM that varied based on mental health history. Our analysis could suggest that incident cases of DEP-ANX within pregnancy are more closely associated with GDM compared to recurring or chronic cases.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-05002-5.

The Effect of Gestational Diabetes on Depression and Breastfeeding Self-Efficacy in Pregnancy and Postpartum Period

Objective: The purpose of this study was to explore the effect of gestational diabetes mellitus (GDM) on depression and breastfeeding self-efficacy during pregnancy and the postpartum period. Methods: This descriptive study was conducted in Obstetrics and Perinatology clinics of two university hospitals in Turkey between July 2016 and June 2017. Women were followed up two times. The first follow-up was performed face-to-face in the gestational week 34th to 38th and the second one was performed by telephone in the 8th week of the postpartum period. In the first follow-up, 104 pregnant women with GDM and 133 pregnant with non-GDM women were interviewed. In the second follow up, 30 women could not be reached in both groups. Data were collected by the Individual Description Form, Edinburgh Postpartum Depression Scale, and Breastfeeding Self-Efficacy Scale-Short Form. Descriptive statistics, repeated measures analysis of variance and correlation analysis were used in the data analysis. Results: The depression risk of mothers with GDM was found higher compared to non- GDM mothers. No significant difference was found between the depression and breastfeeding self-efficacy mean scores in the antenatal and postpartum period of women by the presence of GDM. There was no significant difference between the depression and breastfeeding self-efficacy mean scores in the antenatal and postpartum period by the presence of GDM and some confounding variables. As the breastfeeding self-efficacy level of mothers with GDM both in the antenatal and postpartum period increased, the depression risk decreased. Conclusion: In the study, it has been concluded that GDM does not have an impact on depression and breastfeeding self-efficacy during pregnancy and in the postpartum period.

Systematic review and meta-analysis of risk of gestational diabetes in women with preconception mental disorders

There is a well-established bidirectional association between Type 2 diabetes and mental disorder and emerging evidence for an increased risk of perinatal mental disorder in women with gestational diabetes (GDM). However, the relation between mental disorder prior to pregnancy and subsequent risk of GDM remains relatively unexplored. This is a systematic review and meta-analysis of the risk of GDM in women with a range of preconception mental disorders. Peer-reviewed literature measuring odds of GDM and preconception mood, anxiety, psychotic and eating disorders was systematically reviewed. Risk of bias was assessed using a checklist. Two independent reviewers were involved. 22 observational studies met inclusion criteria; most were retrospective cohorts from English speaking, high income countries. 14 studies were at high risk of bias. There was evidence for an increased risk of GDM in women with schizophrenia (pooled OR 2.44; 95% CI 1.17,5.1; 5 studies) and a reduced risk of GDM in women with anorexia nervosa (pooled OR 0.63; 95% CI 0.49,0.80; 5 studies). There was some limited evidence of an increased risk in women with bipolar disorder. There was no evidence for an association with preconception depression or bulimia nervosa on meta-analysis. There were insufficient studies on anxiety disorders for meta-analysis. This review indicates that there is not a significant risk of GDM associated with many preconception mental disorders but women with psychotic disorders represent a group uniquely vulnerable to GDM. Early detection and management of GDM could improve physical and mental health outcomes for these women and their children.

A longitudinal cohort study of gestational diabetes mellitus and perinatal depression

Background

The association between gestational diabetes mellitus (GDM) and perinatal depression (PND) remains controversial. Our study aimed to comprehensively assess this association in a longitudinal cohort study with repeated measurements of depression.

Methods

Our cohort study was nested in a pilot study of an implementation study aiming to screen and manage perinatal depression within the primary health system in China. Women were recruited in the first trimester from May–September 2019 and followed four times up to 1 year postpartum. Data on sociodemographic characteristics and depression were collected using self-developed questionnaires incorporating the Edinburgh Postnatal Depression Scale (EPDS). Oral glucose tolerance test at 24 ~ 28 weeks and fasting plasma glucose (FPG) data were extracted from medical records. Depression throughout the whole period was divided into different trajectories. Associations of GDM with PND at different time periods and PND of different trajectories were determined by logistic regression. The path of association between blood glucose and depression over time was estimated with an autoregressive cross-lagged model.

Results

In total, 1043 women were included in this analysis and 313 (30.0%) were diagnosed with GDM. The prevalence of depression in the first, second, and third trimesters and postpartum period were 17.2, 6.9, 6.8 and 9.0%, respectively. GDM was neither significantly associated with PND at any time point nor with any specific trajectory of depression. Except for autoregressive paths, no cross-lagged path of FPG and scores of EPDS was significant.

Conclusions

Our study indicates no association between GDM/blood glucose and PND.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-04667-2.

Affective temperaments and the risk of gestational diabetes mellitus

OBJECTIVE

Gestational diabetes mellitus (GDM) is the most common medical complication of pregnancy. The current study aimed to investigate the possibility of a relationship between affective temperaments and GDM.

METHODS

This ethically approved cross-sectional study was conducted on 120 pregnant women with impaired glucose tolerance and 120 healthy pregnant women, all of whom were admitted to hospitals affiliated with Mashhad University of Medical Sciences for delivery during 2019. Depression Anxiety Stress Scale (DASS)-21 and Temperament Evaluation of Memphis, Pisa, Paris and San Diego-auto-questionnaire (TEMPS-A) were used to gather data. Mann-Whitney test was used to compare data between the two groups. A multivariate binary logistic regression model with maternal age, body mass index, and multiparity as the covariates was used to assess factors associated with GDM.

RESULTS

Outcomes of TEMPS-A showed significantly higher scores of anxious and irritable temperaments in the GDM group compared to the control group (p = 0.014 and 0.023, respectively). Multivariate regression showed anxious temperament to be the sole independent predictor of GDM (odds ratio = 1.09, 95%confidence interval = 1.030-1.153; p = 0.003). DASS-21 anxiety score was also significantly higher among patients with GDM (p = 0.002). Severity of anxiety and stress according to DASS-21 was also significantly greater in patients with impaired glucose tolerance (p < 0.001 and p = 0.016, respectively).

CONCLUSIONS

It is ostensible that affective temperaments, especially anxious temperament, are potentially associated with the development of GDM and impaired glucose metabolism during pregnancy.Key pointsThe association of affective temperaments with pregnancy complications has drawn compelling interest.The findings of this study showed significantly higher scores of anxious and irritable temperaments in GDM patients.GDM patients also showed significantly higher levels of anxiety compared to controls.Predominance of anxious temperament can be a potential risk factor that contributes to the development of GDM.Monitoring for GDM is especially recommended in pregnant women with predominant anxious and irritable temperaments.

Do depression, anxiety, emotional intelligence, and sleep quality affect diabetes management self-efficacy in Korean women with gestational diabetes in pregnancy?: a descriptive correlational study

Purpose

This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea.

Methods

A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy.

Results

Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean, 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance.

Conclusion

The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.

The impact of prenatal depression and diabetes management self-efficacy on postpartum stress and depression in women with gestational diabetes mellitus

AIMS

The study aimed to examine the impact of prenatal depression and diabetes management self-efficacy on postpartum stress and postpartum depression in women with gestational diabetes mellitus.

BACKGROUND

Poor perinatal mental health is linked to various adverse pregnancy outcomes in women with gestational diabetes mellitus.

DESIGNS

A predictive study design and the guidelines for the STROBE checklist were used for the study.

METHODS

A total of 119 pregnant women with a positive 75 g-glucose challenge test were recruited at a medical centre. The Taiwanese depression questionnaire (TDQ), the diabetes management self-efficacy scale (DMSES) and the Hung postpartum stress scale (Hung PSS) were used for data collection at the 24th week of pregnancy and the first week after childbirth.

RESULTS

Diabetes management self-efficacy was correlated with postpartum stress in women with gestational diabetes mellitus. Moreover, prenatal depression was a predictor of postpartum stress and postpartum depression, respectively, in women with gestational diabetes mellitus.

CONCLUSIONS

Healthcare providers should assess those women's diabetes management self-efficacy and mood status during prenatal visits and offer the needed intervention to reduce the levels of postpartum stress and postpartum depression of those women after childbirth.

RELEVANCE TO CLINICAL PRACTICE

A holistic care approach integrated diabetic care and mental health for women with gestational diabetes mellitus in a timely manner is warranted to promote perinatal mental health in women with gestational diabetes mellitus.

Psychosocial support interventions for women with gestational diabetes mellitus: a systematic review

Purpose

This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM).

Methods

The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality.

Results

Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels.

Conclusion

Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.

Metabolomic Biomarkers in Gestational Diabetes Mellitus: A Review of the Evidence

Gestational diabetes mellitus (GDM) is the fastest growing type of diabetes, affecting between 2 to 38% of pregnancies worldwide, varying considerably depending on diagnostic criteria used and sample population studied. Adverse obstetric outcomes include an increased risk of macrosomia, and higher rates of stillbirth, instrumental delivery, and birth trauma. Metabolomics, which is a platform used to analyse and characterise a large number of metabolites, is increasingly used to explore the pathophysiology of cardiometabolic conditions such as GDM. This review aims to summarise metabolomics studies in GDM (from inception to January 2021) in order to highlight prospective biomarkers for diagnosis, and to better understand the dysfunctional metabolic pathways underlying the condition. We found that the most commonly deranged pathways in GDM include amino acids (glutathione, alanine, valine, and serine), carbohydrates (2-hydroxybutyrate and 1,5-anhydroglucitol), and lipids (phosphatidylcholines and lysophosphatidylcholines). We also highlight the possibility of using certain metabolites as predictive markers for developing GDM, with the use of highly stratified modelling techniques. Limitations for metabolomic research are evaluated, and future directions for the field are suggested to aid in the integration of these findings into clinical practice.

Maternal depression, adverse childhood experiences, and social support in relation to gestational diabetes risk: results from the Albany Infant and Mother Study (AIMS)

Background

Psychosocial factors are of increasing interest as potential influencers in disease development. This study explores associations between gestational diabetes mellitus (GDM) and maternal depression, adverse childhood experiences (ACEs), and social support, in response to emerging evidence in these areas.

Methods

An observational, prospective cohort study (AIMS) served as the source of secondary data for this study. Participants included 300 pregnant women aged 18–40 years at an upstate New York prenatal care clinic, who completed a set of self-report questionnaires assessing exposures and stressors both during and prior to their pregnancy. Data were also abstracted from infant and maternal medical records.

Results

Logistic regression modeling estimated the odds ratios (ORs) of developing GDM in relation to psychosocial factors. There was a significant association between depression and GDM (OR = 2.85, 95% CI: 1.15, 7.06), which persisted in the model adjusted for age and BMI (aOR = 3.19, 95% CI: 1.25, 8.10). No significant associations were found between ACEs or social support with GDM.

Conclusions

Study findings support an association between maternal depression and GDM development. This study underscores the need for additional research on psychosocial factors and connections to health risks.

Common Variants in NUS1 and GP2 Genes Contributed to the Risk of Gestational Diabetes Mellitus

BACKGROUND

Recently, NUS1 and GP2 genes were reported to be associated with the risk of type 2 diabetes (T2D) in a Japanese population. Given the sharing of pathogenic contribution from genetic factors between T2D and gestational diabetes mellitus (GDM), we conducted the study to systematically examine the relationship of NUS1 and GP2 genes with the susceptibility to GDM in Chinese Han population.

METHODS

A total of 4,250 subjects comprised of 1,282 patients with GDM and 2,968 controls were recruited, and 20 tag single nucleotide polymorphisms (SNPs) (10 from NUS1 and 10 from GP2) were selected for genotyping. Association analyses were conducted for GDM and its related biomedical indexes including fasting glucose and HbA1c levels.

RESULTS

Two SNPs, rs80196932 from NUS1 (P=2.93×10^-5) and rs117267808 from GP2 (P=5.68×10^-5), were identified to be significantly associated with the risk of GDM. Additionally, SNP rs80196932 was significantly associated with HbA1c level in both patients with GDM (P=0.0009) and controls (P=0.0003), while SNP rs117267808 was significantly associated with fasting glucose level in both patients with GDM (P=0.0008) and controls (P=0.0007). Serum levels of protein NUS1 and GP2 were measured for the study subjects, and significant differences were identified among groups with different genotypes of SNP rs80196932 and rs117267808, respectively.

CONCLUSIONS

Our findings indicate that NUS1 and GP2 genes contribute to the risk of GDM, which would help to offer the potential to improve our understanding of the etiology of GDM and, in turn, could facilitate the development of novel medicines and treatments for GDM.

Associations between Gestational Diabetes and Anxiety or Depression: A Systematic Review

Gestational diabetes mellitus (GDM) pregnant women are under more psychological stress than normal pregnant women. With the deepening of the study of gestational diabetes mellitus, research has shown that anxiety and depression are also an important cause of gestational diabetes mellitus. Anxiety and depression can cause imbalances in the hormone levels in the body, which has a serious impact on the pregnancy outcome and blood glucose control of pregnant women with GDM. Therefore, the main purpose of this paper is to provide a systematic review of the association between anxiety, depression, and GDM, as well as the adverse effects on pregnant women with GDM. To this end, we searched the PubMed, CNKI, Embase, Cochrane Library, Wanfang, and Weipu databases. Studies on the incidence of anxiety, depression, and GDM, blood glucose in pregnant women with GDM, delivery mode, and maternal and infant outcomes were included to be analyzed, and the source of anxiety and depression in pregnant women with GDM and related treatment measures were discussed.

Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study

To build a risk prediction model of gestational diabetes mellitus using nomogram to provide a simple-to-use clinical basis for the early prediction of gestational diabetes mellitus (GDM). This study is a prospective cohort study including 1385 pregnant women. (1) It is showed that the risk of GDM in women aged ≥ 35 years was 5.5 times higher than that in women aged < 25 years (95% CI: 1.27–23.73, p < 0.05). In the first trimester, the risk of GDM in women with abnormal triglyceride who were in their first trimester was 2.1 times higher than that of lipid normal women (95% CI: 1.12–3.91, p < 0.05). The area under the ROC curve of the nomogram of was 0.728 (95% CI: 0.683–0.772), the sensitivity and specificity of the model were 0.716 and 0.652, respectively. This study provides a simple and economic nomogram for the early prediction of GDM risk in the first trimester, and it has certain accuracy.

Predictors of postpartum glucose intolerance in women with gestational diabetes mellitus: a prospective cohort study in Ethiopia based on the updated diagnostic criteria

OBJECTIVES

To identify the incidence of postpartum glucose intolerance and develop a prediction model based on antenatal characteristics to predict postpartum glucose intolerance.

DESIGN

Prospective cohort study.

SETTING

Gondar town public health facilities in Northwest Ethiopia.

PARTICIPANTS

Women who had gestational diabetes mellitus were advised to undergo postpartum oral glucose tolerance test at 6-12 weeks of delivery.

MAIN OUTCOME

Postpartum glucose intolerance.

DATA ANALYSIS

Predictors of postpartum glucose intolerance were identified using multivariable logistic regression analysis. The discriminative power of the predictor variables for postpartum glucose intolerance and the model accuracy were computed by area under the receiver operating characteristic curve and estimated by area under the curve (AUC) with 95% CI.

RESULTS

A total of 112 (85.5%) women with gestational diabetes mellitus returned and completed the postpartum oral glucose tolerance test. The incidence of postpartum glucose intolerance was 21.4% (95% CI14.3 to 28.4), inclusive of 18.7% pre-diabetes and 2.7% diabetes. Multivariable logistic regression analysis revealed that advanced maternal age, high fasting plasma glucose level at diagnosis, overweight and/or obesity, and antenatal depression were predictors of postpartum glucose intolerance. The AUC of the final reduced model to predict postpartum glucose intolerance was 0.884 (95% CI 0.822 to 0.937). Fasting plasma glucose at diagnosis of gestational diabetes mellitus (AUC=0.736, 95% CI0.616 to 0.845) and overweight and/or obesity (AUC=0.718, 95% CI 0.614 to 0.814) were better predictors of postpartum glucose intolerance. Moreover, the AUC for the combined predictors of fasting plasma glucose at diagnosis and mid-upper arm circumference was 0.822 (95% CI 0.722 to 0.907), which was the best predictor.

CONCLUSIONS

The incidence of postpartum glucose intolerance was high among women with gestational diabetes mellitus. Antenatal predictors modestly predicted postpartum glucose intolerance. The findings suggest ongoing glucose screening is indicated for all women with gestational diabetes mellitus.

Association Between Gestational Diabetes and Mental Illness

The rates of both gestational diabetes mellitus (GDM) and mental illness in pregnancy are rising. There is an association between type 2 diabetes and major depressive disorder, anxiety and schizophrenia, thus there is a need for greater understanding of the relationship between GDM and mental illness. This review suggests that there is a bidirectional and complex relationship between antenatal depression, gestational diabetes and postpartum depression. The combined effect of both a history of depression and gestational diabetes significantly increases the risk of postpartum depression. There is an association between severe mental illness and GDM; however, it is strongly mediated by antipsychotic medications and psychosocial factors, in addition to the disease itself. Medication has a major role in treating mental illness during pregnancy and is not directly linked with GDM in either depression or psychosis. Health-care providers should be mindful of the association between GDM and mental illness to appropriately screen and treat both disorders.

Diabetes in Pregnancy and Risk of Antepartum Depression: A Systematic Review and Meta-Analysis of Cohort Studies

Previous literature has reported that patients with diabetes in pregnancy (DIP) are at risk of developing antepartum depression but the results have been inconsistent in cohort studies. We conducted a systematic review and performed a meta-analysis to quantify the association between DIP and risk of antepartum depression in cohort studies. Medline, Cinahl, and PubMed databases were searched for studies investigating DIP involving pregnant women with pre-existing diabetes and gestational diabetes mellitus and their risk of antepartum depression that were published in journals from inception to 27 December 2019. We derived the summary estimates using a random-effects model and reported the findings as pooled relative risks (RR) and confidence interval (CI). Publication bias was assessed using a funnel plot and was quantified by Egger and Begg’s tests. Ten studies, involving 71,036 pregnant women were included in this meta-analysis. The pooled RR to develop antepartum depression was (RR = 1.430, 95% CI: 1.251–1.636) among women with gestational diabetes mellitus. Combining pregnant women with pre-existing diabetes mellitus and gestational diabetes mellitus, they had a significant increased risk of developing antepartum depression (RR = 1.431, 95% CI: 1.205–1.699) compared with those without it. In comparison, we found no association between pre-existing diabetes mellitus in pregnancy (RR = 1.300, 95% CI: 0.736–2.297) and the risk of developing antepartum depression. This study has a few limitations: first, different questionnaire and cut-off points were used in evaluation of depression across the studies. Second, there was a lack of data on history of depression prior to pregnancy, which lead to confounding bias that could not be solved by this meta-analysis. Third, data were dominated by studies in Western countries; this is due to the studies from Eastern countries failing to meet our inclusion criteria for statistical analysis. Women with gestational diabetes mellitus have an increased risk of developing antepartum depression compared to those without the disease. Therefore, more attention on the mental health status should be given on pregnant women diagnosed with pre-existing diabetes mellitus and gestational diabetes mellitus.

Multidisciplinary Group Education for Gestational Diabetes Mellitus: A Prospective Observational Cohort Study

The value of diabetes education, focusing on lifestyle measures, in women with gestational diabetes mellitus (GDM) is acknowledged, but requires intensive education and input of resources if done on an individual basis. Group education could be a valuable alternative to individual education. This study aims to investigate the impact of multidisciplinary group education on women’s knowledge about GDM, education, treatment satisfaction, and emotional status. Two hundred women with GDM were enrolled in a prospective observational study. Dutch speaking women were offered group education at their first visit after GDM diagnosis. Non-Dutch speaking women or women for whom group education was not possible received individual education. Individual follow-up with a dietitian was planned within two weeks for all women. Women receiving individual education (n = 100) were more often from an ethnic minority background compared to women in group education (n = 100) (32.0% (n = 31) vs. 15.3% (n = 15), p = 0.01). Knowledge about GDM significantly improved after education, with few differences between the two education settings. Both patients in group and individual education were equally satisfied with the content and duration of the initial and follow-up education. Of all group participants, 91.8% (n = 90) were satisfied with group size (on average three participants) and 76.5% (n = 75) found that group education fulfilled their expectations. In conclusion, women diagnosed with GDM were overall satisfied with the education session’s content leading to a better understanding of their condition, independent of the education setting. Group education is a valuable alternative to better manage the increasing workload and is perceived as an added value by GDM patients.

Increased rates of adverse perinatal outcomes in women with gestational diabetes and depression

Objective: We sought to examine the impact of depression on adverse perinatal outcomes in women with Gestational Diabetes Mellitus (GDM).Methods: We performed a retrospective cohort study comparing the rates of perinatal complications among singleton, nonanomalous births to women with GDM and the diagnosis of depression compared to GDM women without depression between 2007 and 2011 in California. Perinatal outcomes were analyzed using chi-square and multivariable logistic regression to compare frequencies of characteristics and outcomes and to determine the strength of association of depression and adverse perinatal outcomes among women with GDM. Statistical comparisons with a p-value of less than .05 and 95% CI that did not cross the null were considered statistically significant.Results: Among the cohort of 170,572 women with GDM, 2090 (1.22%) were diagnosed with antenatal depression. Women with GDM and depression had significantly higher rates of preeclampsia (adjusted Odds Ratio [aOR] 1.28, 95% CI 1.11-1.49) and gestational hypertension (aOR 1.23, 95% CI 1.05-1.44). Women with GDM and depression also had higher rates of preterm delivery at <37, and <34 weeks gestational age (aOR 1.33, 95% CI 1.18-1.50 and 1.36, 95% CI 1.15-1.61, respectively).Conclusion: Women with GDM and a diagnosis of depression have higher rates of adverse perinatal outcomes than women with GDM alone. Identifying and managing depression among women with GDM has the potential to improve the care and health of this high-risk population.

Prevalence of gestational diabetes mellitus and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia

Background

Globally, Gestational Diabetes Mellitus (GDM) is rising, but it is a neglected health threat to mothers and their children in low resource countries. Although, GDM is known in Ethiopia, information regarding it remains scarce by recent diagnostic criteria. Therefore, this study aimed to determine the prevalence of GDM and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia.

Methods

A cross-sectional study was conducted among 1027 pregnant women selected by the systematic random sampling technique. The universal one-step screening and diagnostic strategy was done using a two-hour 75 g oral glucose tolerance test. GDM was diagnosed using updated diagnostic criteria (2017 American Diabetes Association (ADA) or 2013 World Health Organization (WHO) or modified International Association of the Diabetes and Pregnancy Study Groups diagnostic criteria (IADPSG)). Binary logistic regression model was used to identify factors associated with GDM.

Results

Of the total 1027 pregnant women, 12.8% (95% CI: 10.8–14.8) were diagnosed with GDM. Overweight and/or obesity (MUAC ≥28 cm) (AOR = 2.25, 95% CI: 1.18–4.26), previous history of GDM (AOR = 5.82, 95% CI: 2.57–13.18), family history of diabetes (AOR = 4.03, 95% CI: 1.57–10.35), low physical activity (AOR = 3.36, 95% CI: 1.60–7.04), inadequate dietary diversity (AOR = 1.9, 95% CI: 1.02–3.53), and antenatal depression (AOR = 4.12, 95% CI: 1.85–9.20) were significantly associated with GDM.

Conclusions

The prevalence of GDM among women attending antenatal care at Gondar town public health facilities was high. Previous history of GDM, antenatal depression, family history of diabetes, low physical activity, overweight and/or obesity and inadequate dietary diversity were significantly associated with GDM. Routine screening of pregnant women and healthy lifestyle are strongly recommended.

The Pathophysiology of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a serious pregnancy complication, in which women without previously diagnosed diabetes develop chronic hyperglycemia during gestation. In most cases, this hyperglycemia is the result of impaired glucose tolerance due to pancreatic β-cell dysfunction on a background of chronic insulin resistance. Risk factors for GDM include overweight and obesity, advanced maternal age, and a family history or any form of diabetes. Consequences of GDM include increased risk of maternal cardiovascular disease and type 2 diabetes and macrosomia and birth complications in the infant. There is also a longer-term risk of obesity, type 2 diabetes, and cardiovascular disease in the child. GDM affects approximately 16.5% of pregnancies worldwide, and this number is set to increase with the escalating obesity epidemic. While several management strategies exist-including insulin and lifestyle interventions-there is not yet a cure or an efficacious prevention strategy. One reason for this is that the molecular mechanisms underlying GDM are poorly defined. This review discusses what is known about the pathophysiology of GDM, and where there are gaps in the literature that warrant further exploration.

Prevalence and risk factors of gestational diabetes mellitus: findings from a universal screening feasibility program in Lima, Peru

Background

Gestational diabetes mellitus (GDM) is a global public health concern with potential implications for the health of a mother and her offspring. However, data on the prevalence and risk factors of GDM in Latin America are scarce.

The study was designed to estimate the prevalence of GDM and identify maternal risk factors among Peruvian women.

Methods

A cross-sectional study was conducted among 1300 pregnant women attending a prenatal clinic in Lima, Peru. GDM was diagnosed using an Oral Glucose Tolerance Test (OGTT) performed between 24 and 28 gestational weeks using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Depression status was assessed using the Patient Health Questionnaire-9. Multivariate logistic regression models were used to identify risk factors of GDM.

Results

Approximately 16% of pregnant women were diagnosed with GDM. The prevalence of obesity and depression were 24.4 and 10.6%, respectively. After adjusting for confounders, mid-pregnancy obesity was associated with a 1.64-fold increased odds of GDM (OR: 1.64; 95% CI: 1.03–2.61). Participants with a family history of diabetes had a 1.5-fold increased odds of developing GDM (OR: 1.51, 95% CI: 1.10–2.07) as compared to women without this family history. Depression was associated with a 1.54-fold increased odds of GDM (OR: 1.54; 95% CI:1.09–2.17).

Conclusions

GDM is highly prevalent and was associated with maternal obesity, family history of diabetes and antepartum depression among Peruvian women. Intervention programs aimed at early diagnoses and management of GDM need to take maternal obesity, family history of diabetes and antepartum depression into account.

Electronic supplementary material

The online version of this article (10.1186/s12884-018-1904-0) contains supplementary material, which is available to authorized users.

Is There a Relationship Between Gestational Diabetes and Perinatal Depression?

Perinatal depression (PND) is one of the leading complications associated with childbirth. Early detection and treatment of depression, particularly during the perinatal period, is essential for the promotion of positive maternal-child outcomes. Gestational diabetes mellitus (GDM) has been suggested as a confounding factor associated with PND. Concerns associated with PND include interference with maternal-newborn bonding and long-term effects of neurobehavioral consequences. An exemplar case describing one woman's experience with GDM and her subsequent complications associated with PND is presented to discuss maternal depression and its plausible association with GDM. Recommendations include universal screening with the validated Edinburgh Postnatal Depression Scale screening tool during the early perinatal period to reduce incidence of maternal-newborn complications associated with PND and promote underpinnings for best practice.

Sociodemographic, obstetric characteristics, antenatal morbidities, and perinatal depressive symptoms: A three-wave prospective study

Objectives

This study aimed (1) to investigate the pattern of perinatal depressive symptoms, and (2) to determine the relationships between sociodemographic characteristics, obstetric factors, antenatal morbidities, postnatal conditions, and perinatal depressive symptoms using a structural equation model (SEM).

Method

A three-wave prospective longitudinal design was used for 361 women in their second trimester, third trimester, and at six weeks postpartum. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess the depressive symptoms.

Results

The intensity of depressive symptoms was the highest in the second trimester among the three waves. The SEM showed that unmarried status, unplanned pregnancy, gestational diabetes, and headache were significantly associated with EPDS in the first and second waves. The EPDS in the first wave was able to predict the EPDS in the second and third waves. The SEM has satisfactorily fit with the data (chi-square/degree of freedom = 1.42, incremental fit index = 0.91, Tucker-Lewis index = 0.90, comparative fit index = 0.91, and root mean square error of approximation = 0.03).

Conclusion

The findings highlight the significance of monitoring depressive symptoms in the second trimester. Findings from this study could be useful in the design of effective intervention among women with unmarried status, unplanned pregnancy, gestational diabetes, and headache in order to reduce risk of perinatal depressive symptoms.

History of mood or anxiety disorders and risk of gestational diabetes mellitus in a population-based cohort

AIM

To examine the association between mood and anxiety disorders and the development of gestational diabetes mellitus in a retrospective population-based cohort study.

METHODS

Clinical data from a provincial perinatal health registry were linked to physician claims, hospitalization records and emergency visits to identify any diagnoses of mood or anxiety disorders in the 2 years prior to pregnancy and a subsequent diagnosis of gestational diabetes during pregnancy. The study population included all singleton pregnancies in the Canadian province of Alberta from 1 April 2000 to 31 March 2010. Generalized estimating equations were used to determine the adjusted odds ratio of gestational diabetes, comparing women with and without a history of mood or anxiety disorders.

RESULTS

Among 373 674 pregnancies from 253 911 women, 25.7% had a history of mood or anxiety disorders, and 3.8% developed gestational diabetes. The multivariate-adjusted odds of developing gestational diabetes were higher among women with a history of mood or anxiety disorders (odds ratio 1.10, 95% CI 1.06-1.14).

CONCLUSIONS

Women with a history of mood or anxiety disorders had a moderately increased risk of developing gestational diabetes.

Diabetes in pregnancy: worse medical outcomes in type 1 diabetes but worse psychological outcomes in gestational diabetes

BACKGROUND

Women with diabetes experience an increased risk of adverse pregnancy outcomes.

AIM

We aim to describe and quantify the psychological impact of the diagnosis of diabetes in pregnant women with type 1 diabetes and gestational diabetes mellitus (GDM) compared to each other and to their counterparts without diabetes.

DESIGN

This is a survey-based study with prospective collection of pregnancy outcome data.

METHODS

A total of 218 pregnant women (50% with diabetes) were administered questionnaires relating to psychological health. Maternal and neonatal characteristics and pregnancy outcomes were collected. Associations between key psychometric and health outcome variables were examined.

RESULTS

At least 25% of women in all three pregnancy groups had scores indicating affective distress in at least one domain. Compared to those with type 1 diabetes, women with GDM evidenced a greater number of uplifts in pregnancy (U = 94, P = 0.041), but also higher levels of overall anxiety (U = 92, P = 0.03) and stress (U = 82, P < 0.01). Women with GDM also had significantly elevated overall depression scores, compared with the control group (U = 34, P = 0.02). Both groups of women with diabetes had clinically elevated levels of diabetes-related distress. There were no associations between maternal psychological variables and pregnancy outcomes.

CONCLUSIONS

This work highlights a potential role for targeted psychological interventions to address and relieve symptoms of anxiety and depression among pregnant women with diabetes.

Association between temperature and maternal stress during pregnancy

BACKGROUND

Maternal psychological stress during pregnancy has essentially been conceptualized as a teratogen. However, little is known about the effect of temperature on maternal stress during pregnancy. The aim of this study is to investigate the relationship between temperature and maternal stress during pregnancy.

METHODS

In 2010, a total of 1931 eligible pregnant women were enrolled across Shanghai from four prenatal-care clinics during their mid-to-late pregnancy. Maternal life-event stress and emotional stress levels during pregnancy were assessed by the "Life Event Scale for Pregnant Women" (LESPW) and "Symptom Checklist-90-Revised Scale" (SCL-90-R), respectively. Exposure to ambient temperature was evaluated based on daily regional average in different moving average and lag days. The generalized estimating equations were used to evaluate the relationship between daily average temperature/temperature difference and maternal stress.

RESULTS

After adjusting for relevant confounders, an U-shaped relationship was observed between daily average temperature and maternal Global-Severity-Index (GSI) of the SCL-90-R. Cumulative exposures to extremely low temperatures (< P5, 1.4-10.5℃, lag 0-1 days, 0-2 days and 0-5 days) and extremely high temperatures (≥ P95, 31.2-34.1℃, lag 0-1 days and 0-2 days), and acute exposures to extremely low (lag day 0, 1, 2 and 3) and high (lag day 0, 1) temperatures, all induced higher risks of high GSI (the highest tertile), compared to the risk induced by exposed to an optimal temperature range (20-25℃) (P< 0.05). Increased temperature difference was associated with high maternal GSI (P< 0.05). However, non-significant associations were observed between daily average temperatures/temperature differences and maternal log-transferred LESPW scores.

CONCLUSIONS

Cumulative and acute exposures to extremely low/high temperatures may both induce emotional stress during pregnancy.

Development of Perinatal Mental Illness in Women With Gestational Diabetes Mellitus: A Population-Based Cohort Study

OBJECTIVES

To examine the relationship between gestational diabetes mellitus (GDM) and the development of mental illness (affective and anxiety disorders) during pregnancy and 1 year postpartum.

METHODS

We linked clinical and administrative databases of mothers who delivered in Alberta, Canada, between April 1, 2000, and March 31, 2009, to identify diagnoses of GDM and mental illness. Women with prepregnancy type 1 or type 2 diabetes were excluded. We used generalized estimating equation models to examine the effect of GDM on the development of new-onset mental illness in 2 separate periods: during pregnancy and during the first postpartum year. Generalized estimating equation models were adjusted for age, overweight, smoking, rural residence, ethnicity, median household income, nulliparity, preeclampsia or eclampsia, neonatal death, infant neonatal intensive care unit stay, prior chronic medical conditions and fiscal year.

RESULTS

Of 326,723 pregnancies, 3.7% (12,140) were affected by GDM. Compared to women without GDM, women with GDM had a higher prevalence of, but did not have an increased risk for, new-onset mental illness during pregnancy (16.1% vs. 14.1%; OR 1.06, 95% CI 0.98 to 1.13) or postpartum (23.3% vs. 22.1%; OR 1.03, 95% CI 0.97, 1.10).

CONCLUSIONS

In this large population-based cohort of women in Alberta, GDM was not associated with an increased risk for developing new-onset mental illness during pregnancy or postpartum.

Perceptions, Uses of, and Interests in Complementary Health Care Approaches in Depressed Pregnant Women: The PAW Survey

Depression affects up to 23% of pregnant women and is associated with adverse physical/mental health outcomes for both the mother and baby. Depressed pregnant women may be more likely to engage in unhealthy lifestyle behaviors that contribute to an increased risk for chronic disease. Little is known regarding depressed pregnant women's perceptions, uses of, and interests in complementary health approaches. Study participants (mean age 28.7 ± 6.8; n = 1032) included pregnant women ≥8 weeks gestation who responded to a survey assessing physical and mental health and wellness practices. Of those completing the survey, depressed pregnant women (n = 272) had significantly higher levels of anxiety (P < .001) and stress (P < .001) and had poorer sleep quality (P < .001), mindfulness (P < .001), and social support (P < .001) compared to nondepressed pregnant women (n = 760). A majority (84%) of depressed pregnant women would consider using a complementary health approach for weight and/or stress management during pregnancy, and more than 50% were interested in yoga.

Screening of gestational diabetes mellitus in early pregnancy by oral glucose tolerance test and glycosylated fibronectin: study protocol for an international, prospective, multicentre cohort trial

INTRODUCTION

As the accurate diagnosis and treatment of gestational diabetes mellitus (GDM) is of increasing importance; new diagnostic approaches for the assessment of GDM in early pregnancy were recently suggested. We evaluate the diagnostic power of an 'early' oral glucose tolerance test (OGTT) 75 g and glycosylated fibronectin (glyFn) for GDM screening in a normal cohort.

METHODS AND ANALYSIS

In a prospective cohort study, 748 singleton pregnancies are recruited in 6 centres in Switzerland, Austria and Germany. Women are screened for pre-existing diabetes mellitus and GDM by an 'early' OGTT 75 g and/or the new biomarker, glyFn, at 12-15 weeks of gestation. Different screening strategies are compared to evaluate the impact on detection of GDM by an OGTT 75 g at 24-28 weeks of gestation as recommended by the International Association of Diabetes and Pregnancy Study Groups (IADPSG). A new screening algorithm is created by using multivariable risk estimation based on 'early' OGTT 75 g and/or glyFn results, incorporating maternal risk factors. Recruitment began in May 2014.

ETHICS AND DISSEMINATION

This study received ethical approval from the ethics committees in Basel, Zurich, Vienna, Salzburg and Freiburg. It was registered under http://www.ClinicalTrials.gov (NCT02035059) on 12 January 2014. Data will be presented at international conferences and published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT02035059.

A cross-sectional study of antenatal depressive symptoms in women at high risk for gestational diabetes mellitus

OBJECTIVE

To examine differences in antenatal depressive symptoms between women at high risk for gestational diabetes mellitus (GDM) and pregnant women in the general population.

METHODS

We recruited pregnant women at high risk for GDM, based on a history of GDM and/or prepregnancy BMI ≥ 30 kg/m(2), (n = 482) and pregnant women in the general population (n = 358) before 20 weeks of gestation. Depressive symptoms were assessed by the Edinburgh Postnatal Depression Scale (EPDS).

RESULTS

Of the women at high risk for GDM, 17% had an EPDS score ≥ 10 (indicating risk for depression) compared to 11% of the pregnant women in the general population (p = .025). The mean EPDS score was also higher in the women at risk for GDM (5.5, SD 4.5 vs. 4.6, SD 3.9, p = .004, effect size 0.21 [95% CI: 0.07 to 0.34]). After adjusting for age, prepregnancy BMI and income, the difference between the groups was no longer significant either in the proportion of women having an EPDS score ≥ 10 (p = .59) or in the mean EPDS score (p=.39).

CONCLUSION

After controlling for age, prepregnancy BMI and income, women at high risk for GDM did not have greater depressive symptoms compared to pregnant women in the general population in early pregnancy.

MENTAL HEALTH DISORDERS SUBSEQUENT TO GESTATIONAL DIABETES MELLITUS DIFFER BY RACE/ETHNICITY

INTRODUCTION

The relationship between gestational diabetes mellitus (GDM) and postpregnancy mental health disorders has been inconsistently reported. Additionally, race/ethnicity data are limited. We sought to elucidate the intersection of these relationships.

METHODS

We analyzed 18,109 women aged 18-40 with self-reported race/ethnicity. Women with (n = 659) and without (n = 14,461) GDM were followed for a median of 4.4 (interquartile range 1.4-6.8) and 4.0 (1.5-6.4) years, respectively, for incident mental health disorders. Multivariable repeated measures analyses were conducted to examine associations between GDM and postpregnancy mental health disorders, race/ethnicity, and the interaction of these factors.

RESULTS

Women with compared to women without GDM were older (mean ± standard deviation, 32 ± 5 vs. 30 ± 5 years; P < .001) and had higher body mass index (29.0 ± 7.2 vs. 25.3 ± 5.2 kg/m(2) ; P < .001). GDM was associated with increased risk for depression and anxiety after adjusting for age and pregnancy complications; however, loss of significance in the fully adjusted model for depression (odds ratio [95% CI]: 1.29 [0.98, 1.70]; P = .064) and anxiety (1.14 [0.83, 1.57], P = .421) suggested that clinical and socioeconomic factors influence this relationship. Hispanic compared to white women had a greater risk for depression (1.40 [1.15, 1.72]; P = .001), even after multivariable adjustment. The interaction between GDM and race was evident in complication-adjusted but not fully adjusted models.

CONCLUSIONS

The incidence of mental health disorders subsequent to GDM was attenuated after adjustment for clinical and socioeconomic factors. Moreover, race/ethnicity influenced this relationship. Further investigation is warranted to clarify potential underlying mechanisms.