The association between diabetes and postpartum depression

The Relationship Between Gestational Diabetes and Postpartum Depression: A Systematic Review

This study aims to examine the relationship between gestational diabetes mellitus (GDM) and the likelihood of postpartum depression (PPD) symptoms. PubMed, Scopus, Web of Science, ScienceDirect, and the Wiley Online Library were systematically searched for relevant literature. Our results included eight studies with a total of 4,209 women diagnosed with GDM and/or PPD. The prevalence of PPD in women diagnosed with GDM ranged from 6.5% to 48.4%. The included studies demonstrated that PPD was more likely to strike women with GDM. One study reported that the most severe type of GDM is more likely to occur in those with a history of depression. Perinatal depression during pregnancy can be strongly predicted by age, BMI, and a personal history of depression. The findings imply that GDM and the likelihood of depression during the postpartum phase are related. It was also found that there was a positive correlation between depression and the chance of having GDM. This emphasizes how the association between GDM and depression appears to be reciprocal. However, the association does not imply causation, and the data at hand do not allow for the establishment of causality. Subsequent studies ought to endeavor to show causative connections between GDM and depression as well as pinpoint shared underlying endocrine variables that may play a role in the genesis of both conditions. The available information that is now available is limited due to the complexity of the etiology of both GD and depression in pregnant women; nonetheless, prevention of both conditions depends on a better understanding of the link between GD and depression. The risk of bias in the included studies was moderate to high.

Investigating the association between metabolic syndrome conditions and perinatal mental illness: a national administrative claims study

BACKGROUND

Although the association between mental disorder and metabolic syndrome as a bidirectional relationship has been demonstrated, there is little knowledge of the cumulative and individual effect of these conditions on peripartum mental health. This study aims to investigate the association between metabolic syndrome conditions (MetS-C) and maternal mental illness in the perinatal period, while exploring time to incident mental disorder diagnosis in postpartum women.

METHODS

This observational study identified perinatal women continuously enrolled 1 year prior to and 1 year post-delivery using Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2014 to 2019 with MetS-C i.e. obesity, diabetes, high blood pressure, high triglycerides, or low HDL (1-year prior to delivery); perinatal comorbidities (9-months prior to and 4-month postpartum); and mental disorder (1-year prior to and 1-year post-delivery). Additionally, demographics and the number of days until mental disorder diagnosis were evaluated in this cohort. The analysis included descriptive statistics and multivariable logistic regression. MetS-C, perinatal comorbidities, and mental disorder were assessed using the International Classification of Diseases, Ninth, and Tenth Revision diagnosis codes.

RESULTS

372,895 deliveries met inclusion/exclusion criteria. The prevalence of MetS-C was 13.43%. Multivariable logistic regression revealed prenatal prevalence (1.64, CI = 1.59-1.70) and postpartum incident (1.30, CI = 1.25-1.34) diagnosis of mental health disorder were significantly higher in those with at least one MetS-C. Further, the adjusted odds of having postpartum incident mental illness were 1.51 times higher (CI = 1.39-1.66) in those with 2 MetS-C and 2.12 times higher (CI = 1.21-4.01) in those with 3 or more MetS-C. Young women (under the age of 18 years) were more likely to have an incident mental health diagnosis as opposed to other age groups. Lastly, time from hospital discharge to incident mental disorder diagnosis revealed an average of 157 days (SD = 103 days).

CONCLUSION

The risk of mental disorder (both prenatal and incident) has a significant association with MetS-C. An incremental relationship between incident mental illness diagnosis and the number of MetS-C, a significant association with younger mothers along with a relatively long period of diagnosis mental illness highlights the need for more screening and treatment during pregnancy and postpartum.

Multidimensional influencing factors of postpartum depression based on the perspective of the entire reproductive cycle: evidence from western province of China

OBJECTIVE

China has a serious burden of Postpartum depression (PPD). In order to improve the current situation of high burden of PPD, this study explores the factors affecting PPD from the multidimensional perspectives with physiology, family support and social support covering the full-time chain of pre-pregnancy-pregnancy-postpartum.

METHODS

A follow-up survey was conducted in the Qujing First People's Hospital of Yunnan Province from 2020 to 2022, and a total of 4838 pregnant women who underwent antenatal checkups in the hospital were enrolled as study subjects. Mothers were assessed for PPD using the Edinburgh Postnatal Depression Scale (EPDS), and logistic regression was used to analyse the level of mothers' postnatal depression and identify vulnerability characteristics.

RESULTS

The prevalence of mothers' PPD was 46.05%, with a higher prevalence among those who had poor pre-pregnancy health, had sleep problems during pregnancy, and only had a single female fetus. In the family support dimension, only family care (OR = 0.52, 95% CI 0.42-0.64) and only other people care(OR = 0.78, 95% CI 0.64-0.96) were the protective factors of PPD. The experience risk of PPD was higher among mothers who did not work or use internet.

CONCLUSION

The PPD level in Yunnan Province was significantly higher than the global and Chinese average levels. Factors affecting mothers' PPD exist in all time stages throughout pregnancy, and the influence of family support and social support on PPD shouldn't be ignored. There is an urgent need to extend the time chain of PPD, move its prevention and treatment forward and broaden the dimensions of its intervention.

The Bidirectional Relationship between Gestational Diabetes and Depression in Pregnant Women: A Systematic Search and Review

This systematic search and review aims to understand the two-way relationship between gestational diabetes and depression. This study assesses gestational diabetes in relation to a history of depression, depression during pregnancy and postpartum depression. Searches were conducted on PubMed and Scopus. Studies were excluded due to being duplicates, not available, published before 2015 or did not include both gestational diabetes and depression. Of the 915 articles initially identified, 22 articles were included for review. Of the included studies, 18 were cohorts, 2 were case-controls, 1 was cross-sectional and 1 was a claims analysis. A meta-ethnography was conducted, and a bidirectional relationship was observed between a history of depression, depression during pregnancy, postpartum depression and gestational diabetes. Differing methodologies between studies were a limiting factor throughout this review. A two-way relationship between gestational diabetes and depression was observed; the diagnosis of gestational diabetes may lead to an increased risk of depression, both during the pregnancy and in the postpartum period, and a history of depression or symptoms of depression during pregnancy may lead to an increased risk of gestational diabetes.

Non-communicable diseases and maternal health: a scoping review

Background

Non-communicable diseases [NCDs] are leading causes of ill health among women of reproductive age and an increasingly important cause of maternal morbidity and mortality worldwide. Reliable data on NCDs is necessary for accurate measurement and response. However, inconsistent definitions of NCDs make reliable data collection challenging. We aimed to map the current global literature to understand how NCDs are defined, operationalized and discussed during pregnancy, childbirth and the postnatal period. 

Methods

For this scoping review, we conducted a comprehensive global literature search for NCDs and maternal health covering the years 2000 to 2020 in eleven electronic databases, five regional WHO databases and an exhaustive grey literature search without language restrictions. We used a charting approach to synthesize and interpret the data. 

Results

Only seven of the 172 included sources defined NCDs. NCDs are often defined as chronic but with varying temporality. There is a broad spectrum of conditions that is included under NCDs including pregnancy-specific conditions and infectious diseases. The most commonly included conditions are hypertension, diabetes, epilepsy, asthma, mental health conditions and malignancy. Most publications are from academic institutions in high-income countries [HICs] and focus on the pre-conception period and pregnancy. Publications from HICs discuss NCDs in the context of pre-conception care, medications, contraception, health disparities and quality of care. In contrast, publications focused on low- and middle-income countries discuss NCDs in the context of NCD prevention. They take a life cycle approach and advocate for integration of NCD and maternal health services.

Conclusion

Standardising the definition and improving the articulation of care for NCDs in the maternal health setting would help to improve data collection and facilitate monitoring. It would inform the development of improved care for NCDs at the intersection with maternal health as well as through a woman's life course. Such an approach could lead to significant policy and programmatic changes with the potential corresponding impact on resource allocation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-022-05047-6.

Transcriptome-wide association study for postpartum depression implicates altered B-cell activation and insulin resistance

Postpartum depression (PPD) affects 1 in 7 women and has negative mental health consequences for both mother and child. However, the precise biological mechanisms behind the disorder are unknown. Therefore, we performed the largest transcriptome-wide association study (TWAS) for PPD (482 cases, 859 controls) to date using RNA-sequencing in whole blood and deconvoluted cell types. No transcriptional changes were observed in whole blood. B-cells showed a majority of transcriptome-wide significant results (891 transcripts representing 789 genes) with pathway analyses implicating altered B-cell activation and insulin resistance. Integration of other data types revealed cell type-specific DNA methylation loci and disease-associated eQTLs (deQTLs), but not hormones/neuropeptides (estradiol, progesterone, oxytocin, BDNF), serve as regulators for part of the transcriptional differences between cases and controls. Further, deQTLs were enriched for several brain region-specific eQTLs, but no overlap with MDD risk loci was observed. Altogether, our results constitute a convergence of evidence for pathways most affected in PPD with data across different biological mechanisms.

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.

Mental Health During Late Pregnancy and Postpartum in Mothers With and Without Type 1 Diabetes: The ENDIA Study

OBJECTIVE

Pregnancy and type 1 diabetes are each associated with increased anxiety and depression, but the combined impact on well-being is unresolved. We compared the mental health of women with and without type 1 diabetes during pregnancy and postpartum and examined the relationship between mental health and glycemic control.

RESEARCH DESIGN AND METHODS

Participants were women enrolled from 2016 to 2020 in the Environmental Determinants of Islet Autoimmunity (ENDIA) study, a pregnancy to birth prospective cohort following children with a first-degree relative with type 1 diabetes. Edinburgh Postnatal Depression Scale (EPDS) and Perceived Stress Scale (PSS) were completed during the third trimester (T3) (median [interquartile range] 34 [32, 36] weeks) and postpartum (14 [13, 16] weeks) by 737 women (800 pregnancies) with (n = 518) and without (n = 282) type 1 diabetes.

RESULTS

EPDS and PSS scores did not differ between women with and without type 1 diabetes during T3 and postpartum. EPDS scores were marginally higher in T3: predicted mean (95% CI) 5.7 (5.4, 6.1) than postpartum: 5.3 (5.0, 5.6), independent of type 1 diabetes status (P = 0.01). HbA1c levels in type 1 diabetes were 6.3% [5.8, 6.9%] in T3 and did not correlate with EPDS or PSS scores. Reported use of psychotropic medications was similar in women with (n = 44 of 518 [8%]) and without type 1 diabetes (n = 17 of 282 [6%]), as was their amount of physical activity.

CONCLUSIONS

Overall, mental health in late pregnancy and postpartum did not differ between women with and without type 1 diabetes, and mental health scores were not correlated with glycemic control.

Design and Evaluation of a Postpartum Depression Ontology

OBJECTIVE

Postpartum depression (PPD) remains an understudied research area despite its high prevalence. The goal of this study is to develop an ontology to aid in the identification of patients with PPD and to enable future analyses with electronic health record (EHR) data.

METHODS

We used Protégé-OWL to construct a postpartum depression ontology (PDO) of relevant comorbidities, symptoms, treatments, and other items pertinent to the study and treatment of PPD.

RESULTS

The PDO identifies and visualizes the risk factor status of variables for PPD, including comorbidities, confounders, symptoms, and treatments. The PDO includes 734 classes, 13 object properties, and 4,844 individuals. We also linked known and potential risk factors to their respective codes in the International Classification of Diseases versions 9 and 10 that would be useful in structured EHR data analyses. The representation and usefulness of the PDO was assessed using a task-based patient case study approach, involving 10 PPD case studies. Final evaluation of the ontology yielded 86.4% coverage of PPD symptoms, treatments, and risk factors. This demonstrates strong coverage of the PDO for the PPD domain.

CONCLUSION

The PDO will enable future researchers to study PPD using EHR data as it contains important information with regard to structured (e.g., billing codes) and unstructured data (e.g., synonyms of symptoms not coded in EHRs). The PDO is publicly available through the National Center for Biomedical Ontology (NCBO) BioPortal ( https://bioportal.bioontology.org/ontologies/PARTUMDO ) which will enable other informaticists to utilize the PDO to study PPD in other populations.

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.

Prepregnancy Diabetes and Perinatal Mental Illness: A Population-Based Latent Class Analysis

We examined the risk of any perinatal mental illness associated with prepregnancy diabetes and identified how diabetes duration, complexity, and intensity of care affect this risk. We performed a population-based study of women aged 15-49 years with (n = 14,186) and without (n = 843,818) prepregnancy diabetes who had a singleton livebirth (Ontario, Canada, 2005-2015) and no recent mental illness. Modified Poisson regression estimated perinatal mental illness risk between conception and 1 year postpartum in women with versus without diabetes and in diabetes groups, defined by a latent class analysis of diabetes duration, complexity, and intensity-of-care variables, versus women without diabetes. Women with diabetes were more likely than those without to develop perinatal mental illness (18.1% vs. 16.0%; adjusted relative risk = 1.11, 95% confidence interval: 1.07, 1.15). Latent classes of women with diabetes were: uncomplicated and not receiving regular care (59.7%); complicated, with longstanding diabetes, and receiving regular care (16.4%); and recently diagnosed, with comorbidities, and receiving regular care (23.9%). Perinatal mental illness risk was elevated in all classes versus women without diabetes (adjusted relative risks: 1.09-1.12), but results for class 2 were nonsignificant after adjustment. Women with diabetes could benefit from preconception and perinatal strategies to reduce their mental illness risk.

Mental health status among women of reproductive age from underserved communities in the United States and the associations between depression and physical health. A cross-sectional study

Background

In 2017, 46.6 million U.S. adults aged 18 or older self-reported as having mental illness of which 52.0% or 24.2 million are women age 18–49. Perinatal depression and anxiety are linked to adverse outcomes concerning pregnancy, maternal functioning, and healthy child development.

Methods and findings

Using the 2014 Health Center Patient Survey (HCPS), the objectives of the cross-sectional study are to assess the prevalence of self-reported mental health conditions among female patients of reproductive age and to examine the association between depression and physical health. Physical health conditions of interest included self-rated health, obesity, hypertension, smoking, and diabetes, which all have established associations with potential pregnancy complications and fetal health. The study found 40.8% of patients reported depression; 28.8% reported generalized anxiety; and 15.2% met the criteria for serious psychological distress on the Kessler 6 scale. Furthermore, patients with depression had two to three times higher odds of experiencing co-occurring physical health conditions.

Conclusions

This study expands the discourse on maternal mental health, throughout the preconception, post-partum, and inter-conception care periods to improve understanding of the inter-correlated physical and mental health issues that could impact pregnancy outcomes and life course trajectory. From 2014 to 2018, the Health Resources and Services Administration (HRSA) has supported investments of nearly $750 million to improve and expand access to mental health and substance use disorder services for prevention, treatment, health education and awareness through comprehensive primary care integration. Moving forward, HRSA will implement strategic training and technical assistance (T/TA) framework that is designed to accelerate the adoption of science driven solutions in primary care in addressing depression for patients with co-occurring chronic conditions and advancing positive maternal outcomes.

Chronic physical conditions and risk for perinatal mental illness: A population-based retrospective cohort study

BACKGROUND

One in 5 women experience mental illness in pregnancy or post partum. Universal preventive interventions have not lowered the incidence of perinatal mental illness, perhaps because those at highest risk were not targeted. Outside of pregnancy, chronic physical conditions are known to confer increased risk for mental illness. Our objective was to examine the association between chronic physical conditions and risk of perinatal mental illness.

METHODS AND FINDINGS

We conducted a population-based retrospective cohort study using linked health administrative data sets in Ontario, Canada, in 2005 to 2015. We compared 77,385 women with chronic physical conditions to 780,619 women without such conditions, all of whom had a singleton live birth. Excluded were women with a mental illness diagnosis within 2 years before pregnancy. Chronic physical conditions were captured using the Agency for Healthcare Research and Quality Chronic Condition Indicator, applied to acute healthcare encounters in the 2 years before pregnancy. The outcome was perinatal mental illness, defined by a mental illness or addiction diagnosis arising between conception and 365 days post partum. The outcome was further defined by timing (prenatal or post partum) and specific diagnosis (psychotic disorder, mood or anxiety disorder, substance use disorder, self-harm, or other). Modified Poisson regression generated relative risks and 95% confidence intervals (CIs), adjusted for age, parity, rural residence, income quintile, and remote history of mental health care. Women in the cohort had an average age of 29.6 years (standard deviation 5.4), 44.2% were primiparous, 11.0% lived in a rural area, 40.1% were in the lowest 2 income quintiles, and 47.9% had a remote history of mental health care. More women with (20.4%) than without (15.6%) a chronic physical condition experienced perinatal mental illness-an adjusted relative risk (aRR) of 1.20 (95% CI 1.18-1.22, p < 0.0001). The aRRs were statistically significant for mental illness in pregnancy (1.12, 95% CI 1.10-1.15, p < 0.0001) and post partum (1.25, 95% CI 1.23-1.28, p < 0.0001). Psychotic disorders (aRR 1.50, 95% CI 1.36-1.65, p < 0.0001), mood or anxiety disorders (aRR 1.19, 95% CI 1.17-1.21, p < 0.0001), substance use disorders (aRR 1.47, 95% CI 1.34-1.62, p < 0.0001), and other mental illness (aRR 1.68, 95% CI 1.50-1.87, p < 0.0001) were more likely in women with than without chronic physical conditions, but not self-harm (aRR 1.14, 95% CI 0.87-1.48, p = 0.34). The study was limited by reliance on acute health care encounters to measure chronic physical conditions and the inability to capture undiagnosed mental health problems.

CONCLUSIONS

Findings from this study suggest that women with a chronic physical condition predating pregnancy may be at heightened risk of developing mental illness in the perinatal period. These women may require targeted efforts to lower the severity of their condition and improve their coping strategies and supports in pregnancy and thereafter.

Depression precedes, but does not follow, gestational diabetes

OBJECTIVES

To determine whether past history of depression is associated with increased rates of gestational diabetes, and whether history of gestational diabetes is associated with increased rates of postpartum depression.

RESEARCH DESIGN

Data for this case-control study consisted of de-identified chart records for 1439 women who received pregnancy care at a large university hospital between 1998 and 2017.

RESULTS

A history of depression prior to pregnancy was associated with gestational diabetes requiring insulin, although not with subtler degrees of gestational hyperglycemia. Diabetes in pregnancy was not associated with an increased risk of postpartum depression. Trauma history was associated with both impaired glucose tolerance in pregnancy and postpartum depression.

CONCLUSIONS

Past episodes of depression increase risk for the most severe form of gestational diabetes; however, gestational diabetes does not contribute significantly to risk for postpartum depression. This suggests a unidirectional association, unlike the bidirectional association of diabetes with depression among the general population. History of trauma increases risk for both gestational hyperglycemia and postpartum depression, suggesting important health effects of trauma that may differ measurably from those associated with depression.

The association between gestational diabetes and postpartum depression: A systematic review and meta-analysis

AIMS

Postpartum period is a critical period for mothers, which is often accompanied by increased risk of depression. Many studies have evaluated the relationship between gestational diabetes (GDM) and postpartum depression (PPD), but contradictory results have been reported. Therefore, the present study was conducted to investigate the relationship between GDM and PPD.

METHODS

This systematic review and meta-analysis was conducted based on PRISMA Guideline. We searched all the relevant epidemiological studies in international databases of Scopus, PubMed, Science Direct, Embase, Web of Science, CINAHL, Cochrane Library, EBSCO, and Google scholar search engine using the MeSH Keywords in English without time limit until 2018. The heterogeneity of the studies was calculated using the I² index and Cochran's Q test. Relative risk (RR) and 95% confidence interval (CI) were extracted from each study. The results of the study were analyzed using the random effects model and Comprehensive Meta-Analysis Software Version 2.

RESULTS

A total of 18 studies with a sample size of 2,370,958 were reviewed. Meta-analysis results showed that GDM significantly increased the risk of PPD, and RR was 1.59 (95% CI: 1.22-2.07, p = 0.001). The RR for 15 cohort studies, 2 cross-sectional studies and 1 case-control study was 1.67 (95% CI: 1.22-2.28), 1.37 (95% CI: 0.91-2.05), and 1.29 (95% CI: 0.98-1.68), respectively.

CONCLUSIONS

GDM can be a risk factor for PPD. Therefore, PPD examination in pregnant women with GDM seems to be necessary.

Association between gestational diabetes mellitus and depression in parents: a retrospective cohort study

Purpose

The aim of this study was to examine the association between gestational diabetes mellitus (GDM) and depression incidence in mothers and fathers during prenatal and postnatal periods.

Patients and methods

Matched pairs (GDM vs no GDM) of randomly selected mothers with singleton live births (matched by age group, delivery year, and health region) and their partners (Quebec, Canada; cohort inception 1990-2007) were assessed for a composite outcome of depression/self-harm/suicide using a health administrative database. We examined the association of GDM and the composite outcome in the following three nonoverlapping periods: 1) 24 weeks gestation up to delivery; 2) delivery up to 1 year postpartum; and 3) 1 year postpartum to study end (March 31, 2012). We used stratified Cox proportional regression hazards models, with three models in mothers and three models in fathers, corresponding to each of the time periods of interest.

Results

In the 58,400 mothers, women with GDM had a nearly twofold greater risk (adjusted HR: 1.82, 95% CI 1.28, 2.59) of being diagnosed with depression compared to those without GDM during the prenatal period. In the first year postpartum, there was no conclusive difference observed between the two groups of mothers (adjusted HR: 1.05, 95% CI 0.84, 1.30). Beyond the first year postpartum, there was an 8% increased risk (adjusted HR: 1.08, 95% CI 1.03, 1.14) of depression in women with a history GDM compared to those without. A total of 63,384 fathers were included in our analyses, and no association between GDM in one's partner and depression was found during any of the three time periods evaluated.

Conclusion

GDM is associated with an increased risk of depression in women particularly during pregnancy highlighting the need to screen for depression and provide supportive interventions during this period.

The association between gestational diabetes mellitus and postpartum depressive symptomatology: A prospective cohort study

BACKGROUND

The literature suggests an association between type 2 diabetes mellitus and depression, but data on the association between gestational diabetes mellitus (GDM) and postpartum depressive symptomatology (PPDS) are scarce.

METHODS

Altogether, 1066 women with no previous mental health issues enrolled in the Kuopio Birth Cohort (KuBiCo, www.kubico.fi) were selected for this study. GDM was diagnosed according to the Finnish Current Care Guidelines. Depressive symptomatology was assessed with the Edinburgh Postnatal Depression Scale (EPDS) during the third trimester of pregnancy and eight weeks after delivery. Additionally, a subgroup of women (n = 505) also completed the EPDS during the first trimester of pregnancy.

RESULTS

The prevalence rates of GDM and PPDS in the whole study population were 14.1% and 10.3%, respectively. GDM was associated with an increased likelihood of belonging to the PPDS group (OR 2.23, 95% CI 1.23-4.05; adjusted for maternal age at delivery, BMI in the first trimester, smoking before pregnancy, relationship status, nulliparity, delivery by caesarean section, gestational age at delivery, neonatal intensive care unit admission and third-trimester EPDS scores). A significant association between GDM and PPDS was found in the subgroup of women with available data on first-trimester depression (n = 505).

LIMITATIONS

The participation rate of the KuBiCo study was relatively low (37%).

CONCLUSIONS

Women with GDM may be at increased risk of PPDS. Future studies should investigate whether these women would benefit from a closer follow-up and possible supportive interventions during pregnancy and the postpartum period to avoid PPDS.

Chronic Medical Conditions and Peripartum Mental Illness: A Systematic Review and Meta-Analysis

The objective of this systematic review and meta-analysis was to examine the association between maternal chronic medical conditions (CMCs) and peripartum mental illness. MEDLINE, Embase, CINAHL, and PsycINFO were searched to September 2017. Data were extracted and quality was assessed using standardized instruments. We generated unadjusted and adjusted pooled odds ratios and 95% confidence intervals using DerSimonian and Laird random effects models. The review included 16 papers representing 12 studies and 1,626,260 women. CMCs overall were associated with peripartum mental illness overall (adjusted pooled odds ratios (aPOR) = 1.43, 95% confidence interval (CI): 1.25, 1.63). CMCs overall were associated with antepartum (aPOR = 1.41, 95% CI: 1.10, 1.81) and postpartum mental illness separately (aPOR = 1.44, 95% CI: 1.13, 1.85) and with peripartum depression (aPOR = 1.45, 95% CI: 1.25, 1.67) and anxiety separately (aPOR = 1.63, 95% CI: 1.35, 1.95). No studies examined bipolar or psychotic disorders. Diabetes (aPOR = 1.34, 95% CI: 1.07, 1.69), hypertension/heart disease (aPOR = 1.60, 95% CI: 1.05, 2.45), migraine (aPOR = 1.75, 95% CI: 1.20, 2.54), and other neurological disorders (aPOR = 1.45, 95% CI: 1.19, 1.77), but not asthma, were each associated with peripartum mental illness. Findings suggest that mental health resources should be integrated in medical settings where pregnant and postpartum women with CMCs are treated.

Roles of Inflammation and Depression in the Development of Gestational Diabetes

Inflammation, the body's response to harmful external agents, has long been found to be associated with depressive symptoms. The relationship between inflammation and depression is well established in the general population of people with depression, but is less so among perinatal women. Depression in the perinatal period is a common disorder, however available data do not indicate that there is a specific inflammatory picture associated with perinatal depression. We suggest that perinatal depression may be a heterogeneous construct, and that inflammation may be relevant to it in the context of other inflammatory morbidities of pregnancy. In this review we explore the available support for the hypothesis that inflammation associated with depression can represent a precipitating insult for the development of gestational diabetes, a known inflammatory morbidity of 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.