The risk of new-onset diabetes in antidepressant users - A systematic review and meta-analysis

Incident diabetes in adolescents using antidepressant: a systematic review and meta-analysis

BACKGROUND

The use of antidepressants has been on the rise among adolescents and young adults, populations also increasingly at risk for type 2 diabetes. However, the relationship between antidepressant uses and diabetes incidence in these age groups remains poorly understood.

METHODS

Adhering to PRISMA guidelines and the Cochrane Handbook, we conducted a comprehensive search in PubMed, Scopus, Embase, and Web of Science up to 21 February 2024, registering our protocol on PROSPERO (CRD42024516272).

RESULTS

Six studies, ranging from 16, 470 to 1, 582, 914 participants and spanning 2010 to 2023 across North America, Europe, and Asia, were included. The meta-analysis revealed a significant association between antidepressant use and diabetes onset, with 10 cases per 1, 000 observations (p < 0.01; I2 = 100%). Adolescents using high doses of antidepressants showed a 62% increased risk of developing diabetes compared to non-users or those on low doses (Risk ratio = 1.67; 95% CI 1.19-2.35; I2 = 87%; p < 0.01). The overall quality of the studies was high, with an average Newcastle-Ottawa Scale score of 7.66. Sensitivity analysis highlighted the robustness of these findings, except when removing specific studies, indicating potential sources of heterogeneity.

CONCLUSION

Antidepressant use in adolescents is associated with a significantly increased risk of diabetes onset, particularly at higher doses. This finding underscores the necessity for vigilant monitoring of glucose levels in this population and warrants further investigation into the underlying mechanisms and long-term outcomes.

Targeting self-care adherence for glycaemic control in multimorbid type 2 diabetes mellitus with depression using bupropion: a protocol for cross-over randomised controlled trial

INTRODUCTION

Diabetes and depression are among the 10 biggest health burdens globally. They often coexist and exhibit a strong bidirectional relationship. Depression leads to decreased adherence to self-care activities. This impacts glycaemic control and worsens type 2 diabetes mellitus (T2D). Both conditions have a synergistic effect and lead to greater complications, hospitalisations, healthcare expenditure and a worse quality of life. There is no consensus on managing people with comorbid T2D and depression. Bupropion is an efficacious antidepressant with many properties suitable for T2D with depression, including a favourable metabolic profile, persistent weight loss and improvement in sexual dysfunction. We will assess the efficacy and safety of add-on bupropion compared with standard care in people with T2D and mild depression. This study can give valuable insights into managing the multimorbidity of T2D and depression. This can help mitigate the health, social and economic burden of both these diseases.

RESEARCH DESIGN AND METHODS

This cross-over randomised controlled trial will recruit people with T2D (for 5 years or more) with mild depression. They will be randomised to add-on bupropion and standard care. After 3 months of treatment, there will be a washout period of 1 month (without add-on bupropion while standard treatment will continue). Following this, the two arms will be swapped. Participants will be assessed for glycosylated haemoglobin, adherence to diabetes self-care activities, lipid profile, urine albumin-to-creatinine ratio, autonomic function, sexual function, quality of life and adverse events.

ETHICS AND DISSEMINATION

The Institutional Ethics Committee at All India Institute of Medical Sciences, Jodhpur has approved this study (AIIMS/IEC/2022/4172, 19 September 2022). We plan to disseminate the research findings via closed group discussions at the site of study, scientific conferences, peer-reviewed published manuscripts and social media.

TRIAL REGISTRATION NUMBER

CTRI/2022/10/046411.

Management of Pregnant Women with Mental Disorders Requires Attention to Gestational Diabetes Mellitus

Background

Psychiatric interventions may be required during pregnancy. In the aspect of the management of psychiatric symptoms and the consideration of the need for pharmacotherapy, possibly to manage the effects on the fetus, pregnant women with mental disorders are considered high risk as other physical illnesses.

Objective

We investigated the characteristics of pregnant women with psychiatric disorders compared with high-risk pregnant women with physical illnesses at our university hospital and the effects of psychotropic drug use on pregnant women with mental disorders and their children.

Materials and Methods

In a multivariate analysis of 1282 pregnant women, excluding those with multiple pregnancies who gave birth at our hospital between January 2017 and the end of December 2019, we evaluated the effects of mental disorders and the use of psychotropic drugs throughout at least the third trimester up to the day of delivery on obstetric complications and infants. All data were collected retrospectively.

Results

Ninety-nine pregnant women had mental disorders and 62 took psychotropic drugs. Among multiple factors, pregnant women with mental disorders were associated with significantly higher rates of smoking and gestational diabetes mellitus (GDM) and significantly lower child abnormalities. The cause or effect was difficult to determine; however, the use of antipsychotics or antidepressants was also significantly associated with GDM, while psychotropic use was not related to any of the other factors investigated in this study.

Conclusions

Attention to GDM might be important in the management of pregnant women with mental disorders.

Affective and Cognitive Impairments in Rodent Models of Diabetes

Diabetes and related acute and long-term complications have a profound impact on cognitive, emotional, and social behavior, suggesting that the central nervous system (CNS) is a crucial substrate for diabetic complications. When anxiety, depression, and cognitive deficits occur in diabetic patients, the symptoms and complications related to the disease worsen, contributing to lower quality of life while increasing health care costs and mortality. Experimental models of diabetes in rodents are a fundamental and valuable tool for improving our understanding of the mechanisms underlying the close and reciprocal link between diabetes and CNS alterations, including the development of affective and cognitive disorders. Such models must reproduce the different components of this pathological condition in humans and, therefore, must be associated with affective and cognitive behavioral alterations. Beyond tight glycemic control, there are currently no specific therapies for neuropsychiatric comorbidities associated with diabetes; animal models are, therefore, essential for the development of adequate therapies. To our knowledge, there is currently no review article that summarizes changes in affective and cognitive behavior in the most common models of diabetes in rodents. Therefore, in this review, we have reported the main evidence on the alterations of affective and cognitive behavior in the different models of diabetes in rodents, the main mechanisms underlying these comorbidities, and the applicable therapeutic strategy.

Elevated risk of developing type 2 diabetes in people with a psychiatric disorder: What is the role of health behaviors and psychotropic medication?

AIMS

Several psychiatric disorders are linked with an increased risk of developing type 2 diabetes (T2D), but the mediating mechanisms are unclear. We aimed to investigate health behaviors, obesity, psychotropic medication use, and comorbidity as potential mediating mechanisms explaining these associations.

METHODS

We combined data from a large population-based survey with register-based data and followed a sample of 250,013 Danes (≥16 years) for up to 8.9 years. We conducted mediation analyses investigating 10 potential mediators of the associations between psychiatric disorders and incident T2D.

RESULTS

Individuals with a substance use disorder, schizophrenia, mood disorder, neurotic disorder, eating disorder, or a personality disorder had a significantly higher risk of developing T2D. Organic disorders, intellectual disabilities, developmental and behavioral disorders were not associated with T2D-risk. For all psychiatric disorders significantly associated with T2D, the use of antidepressant medication had the largest proportional mediating effect on the association (13-32 %).

CONCLUSIONS

Use of antidepressant medication had the largest contribution to the associations between psychiatric disorders and incident T2D. Future epidemiological studies and prevention studies should focus on optimizing the use of antidepressant medication with minimal side effects, and the promotion of health behaviors in individuals with a psychiatric disorder to prevent T2D.

Incidence and Factors Associated with Hyperglycemia in Patients with First Hospitalization for Major Depression Disorder: A Large Cross-Sectional Sample

Purpose

Major depressive disorder (MDD) is a mood disorder characterized by persistent spontaneous depression and has a high rate of disability and mortality. There is a complex relationship between MDD and disorders of glucose metabolism, and our study aimed to investigate the prevalence and risk factors for hyperglycemia in patients with MDD who were hospitalized for the first times.

Patients and Methods

A total of 981 first-time inpatients with MDD were recruited, socio-demographic information, anthropometric data, and biochemical parameters were collected for each participant. The 17-item Hamilton Assessment Scale for Depression (HAMD-17), the 14-item Hamilton Anxiety Scale (HAMA-14), the Positive Syndrome Scale (PSS), and Clinical General Impressions Inventory-Severity of Illness (CGI-SI) scores were used to assess patients' clinical symptoms.

Results

The prevalence of hyperglycemia was 9.28% among patients with MDD who were hospitalized for the first time. Compared to the non-hyperglycemic subgroup, patients in the hyperglycemic subgroup were found to have more extensive and significant demographic and clinical characteristics, higher levels of metabolism-related parameters, and more severe psychological and psycho-pathological symptoms. Age, thyroid stimulating hormone (TSH), triglycerides (TG) were risk factors for hyperglycemia in MDD patients, while course of disease was a protective factor.

Conclusion

The study findings suggest that the prevalence of hyperglycemia is not high in patients with MDD who are hospitalized for the first time. The risk variables for predicting hyperglycemia include age, TSH and TG. The above three factors and course of disease have good combined diagnostic ability for hyperglycemia.

Striatal dopamine D2-like receptors availability in obesity and its modulation by bariatric surgery: a systematic review and meta-analysis

There is significant evidence linking a 'reward deficiency syndrome' (RDS), comprising decreased availability of striatal dopamine D2-like receptors (DD2lR) and addiction-like behaviors underlying substance use disorders and obesity. Regarding obesity, a systematic review of the literature with a meta-analysis of such data is lacking. Following a systematic review of the literature, we performed random-effects meta-analyses to determine group differences in case-control studies comparing DD2lR between individuals with obesity and non-obese controls and prospective studies of pre- to post-bariatric surgery DD2lR changes. Cohen's d was used to measure effect size. Additionally, we explored factors potentially associated with group differences in DD2lR availability, such as obesity severity, using univariate meta-regression. In a meta-analysis including positron emission tomography (PET) and single-photon emission computed tomography (SPECT) studies, striatal DD2lR availability did not significantly differ between obesity and controls. However, in studies comprising patients with class III obesity or higher, group differences were significant, favoring lower DD2lR availability in the obesity group. This effect of obesity severity was corroborated by meta-regressions showing inverse associations between the body mass index (BMI) of the obesity group and DD2lR availability. Post-bariatric changes in DD2lR availability were not found, although a limited number of studies were included in this meta-analysis. These results support lower DD2lR in higher classes of obesity which is a more targeted population to explore unanswered questions regarding the RDS.

Project MOVE: A randomized controlled trial of Interventions for initiating and maintaining physical activity in depressed individuals

Objective

To test interventions for increasing aerobic exercise in depressed individuals.

Methods

We conducted a 3-arm randomized controlled trial aimed at increasing minutes of moderate-to-vigorous physical activity (MVPA) in depressed adults (N = 242). Each successive arm included an added component that might serve to increase and maintain physical activity. Arms were: 1) Brief advice (BA) to aerobic exercise; 2) BA + supervised and home-based aerobic exercise (SHE) + health education (HE); and 3) BA + SHE +cognitive-behavioral sessions focused on increasing and maintaining aerobic exercise (CBEX). HE was intended to serve as a control for CBEX. Assessments were conducted at baseline, Month 1.5, end of intervention (Month 3), Month 6, and Month 9. The primary outcome of MVPA was assessed via accelerometry. Secondary outcomes included self-reported MVPA, depression severity, and other aspects of mood and affect.

Results

At 3 months (the pre-designated primary outcome timepoint), the simple effect of treatment was statistically significant (F2, 569.0 = 4.17, p = .016), with BA+SHE+CBEX being superior to BA. We did not observe differences between BA+SHE+HE and either of the other arms. There were no statistically significant differences between treatment groups at 6- or 9-months. Treatment effects were not statistically significant for secondary outcomes.

Conclusions

Supervised and home-based exercise, when combined with a cognitive-behavioral exercise intervention, is effective in increasing aerobic exercise in depressed adults in the short-term, although the impact diminishes post-intervention period.

Selective serotonin reuptake inhibitors and the risk of type 2 diabetes mellitus in youths

BACKGROUND

Selective serotonin reuptake inhibitors (SSRIs) have been associated with type 2 diabetes mellitus (T2DM) in youths, possibly via 5-HT_2C, H₁ receptors and serotonin transporter (SERT). SSRIs have similar affinity for SERT but variable affinity for 5-HT_2C and H₁. This study assessed whether SSRIs with strong affinity for 5-HT_2C and H₁ (relative to SERT) were associated with T2DM risk compared with weak-affinity SSRIs.

METHODS

Using the UK Clinical Practice Research Datalink, we assembled a cohort of patients aged 5-24, newly prescribed a strong-affinity SSRI (citalopram, escitalopram, fluoxetine) or weak affinity (paroxetine, sertraline, fluvoxamine) between 1990 and 2019. We controlled for confounding using standardized mortality ratio weighting, estimated from calendar time-specific propensity scores. We used weighted Cox proportional hazards models to estimate hazard ratios (HRs) of incident T2DM with 95 % confidence intervals (CIs).

RESULTS

The cohort included 347,368 new users of strong-affinity SSRIs and 131,359 of weak-affinity SSRIs. Strong-affinity SSRIs were not associated with an increased T2DM risk compared with weak-affinity SSRIs (incidence rate 2.8 vs 2.7 per 1000 person-years; HR 1.03, 95 % CI 0.85-1.25). T2DM risk did not vary with duration of use, age or sex. However, the HR was numerically higher in youths with normal or low weight (HR 1.30, 95 % CI 0.85-1.98) and with prior antipsychotic use (HR 1.62, 95 % CI 0.83-3.18).

LIMITATIONS

Median duration of SSRI use, in line with real-world SSRI prescribing, was relatively short.

CONCLUSION

T2DM risk did not differ between strong- and weak-affinity SSRIs, providing reassurance for clinicians when choosing between SSRIs in youths.

The role of mental disorders in precision medicine for diabetes: a narrative review

This narrative review aims to examine the value of addressing mental disorders as part of the care of people with type 1 and type 2 diabetes in terms of four components of precision medicine. First, we review the empirical literature on the role of common mental disorders in the development and outcomes of diabetes (precision prevention and prognostics). We then review interventions that can address mental disorders in individuals with diabetes or at risk of diabetes (precision treatment) and highlight recent studies that have used novel methods to individualise interventions, in person and through applications, based on mental disorders. Additionally, we discuss the use of detailed assessment of mental disorders using, for example, mobile health technologies (precision monitoring). Finally, we discuss future directions in research and practice and challenges to addressing mental disorders as a factor in precision medicine for diabetes. This review shows that several mental disorders are associated with a higher risk of type 2 diabetes and its complications, while there is suggestive evidence indicating that treating some mental disorders could contribute to the prevention of diabetes and improve diabetes outcomes. Using technologically enabled solutions to identify mental disorders could help individuals who stand to benefit from particular treatments. However, there are considerable gaps in knowledge and several challenges to be met before we can stratify treatment recommendations based on mental disorders. Overall, this review demonstrates that addressing mental disorders as a facet of precision medicine could have considerable value for routine diabetes care and has the potential to improve diabetes outcomes.

Selective Serotonin Reuptake Inhibitors (SSRIs) in Pregnancy: An Updated Review on Risks to Mother, Fetus, and Child

PURPOSE OF REVIEW

To provide an updated summary and appraisal of work from 2019 to 2022 examining risks of selective serotonin reuptake inhibitor (SSRI) use in pregnancy.

RECENT FINDINGS

Perinatal SSRI exposure does not increase risk of major malformations or gestational diabetes after accounting for underlying maternal illness. SSRIs are associated with small increase in risk of pre-eclampsia, postpartum hemorrhage, preterm delivery, persistent pulmonary hypertension of the newborn, and neonatal intensive care unit admissions, though absolute risk of these outcomes is low. While data suggests no increased risk of neurodevelopmental disorders in offspring, mixed evidence indicates increased risk of adverse cognitive outcomes and affective disorders. Recent evidence suggest low absolute risk of clinically relevant negative outcomes with perinatal SSRI exposure when compared to untreated perinatal depression. However, study design and ability to control for confounding remains an ongoing research challenge, highlighting need for ongoing rigorous study design and analysis.

The selective serotonin reuptake inhibitor fluoxetine has direct effects on beta cells, promoting insulin secretion and increasing beta-cell mass

AIM

This study investigated whether therapeutically relevant concentrations of fluoxetine, which have been shown to reduce plasma glucose and glycated haemoglobin independent of changes in food intake and body weight, regulate beta-cell function and improve glucose homeostasis.

METHODS

Cell viability, insulin secretion, beta-cell proliferation and apoptosis were assessed after exposure of MIN6 beta cells or isolated mouse and human islets to 0.1, 1 or 10 μmol/L fluoxetine. The effect of fluoxetine (10 mg/kg body weight) administration on glucose homeostasis and islet function was also examined in ob/ob mice.

RESULTS

Exposure of MIN6 cells and mouse islets to 0.1 and 1 μmol/L fluoxetine for 72 hours did not compromise cell viability but 10 μmol/L fluoxetine significantly increased Trypan blue uptake. The dose of 1 μmol/L fluoxetine significantly increased beta-cell proliferation and protected islet cells from cytokine-induced apoptosis. In addition, 1 μmol/L fluoxetine induced rapid and reversible potentiation of glucose-stimulated insulin secretion from islets isolated from mice, and from lean and obese human donors. Finally, intraperitoneal administration of fluoxetine to ob/ob mice over 14 days improved glucose tolerance and resulted in significant increases in beta-cell proliferation and enhanced insulin secretory capacity.

CONCLUSIONS

These data are consistent with a role for fluoxetine in regulating glucose homeostasis through direct effects on beta cells. Fluoxetine thus demonstrates promise as a preferential antidepressant for patients with concomitant occurrence of depression and diabetes.

Identifying pathways to early-onset metabolic dysfunction, insulin resistance and inflammation in young adult inpatients with emerging affective and major mood disorders

AIM

Young people with common mood disorders face the prospect of shortened life expectancy largely due to premature cardiovascular disease. Metabolic dysfunction is a risk factor for premature cardiovascular disease. There is an ongoing debate whether metabolic dysfunction can be simply explained by weight gain secondary to psychotropic medications or whether shared genetic vulnerability, intrinsic immune-metabolic disturbances or other system perturbations (e.g. dysregulated sympathetic nervous system, circadian dysfunction) are more relevant determinants of premature cardiovascular disease. Thus, we aimed to investigate underlying drivers of metabolic dysfunction and premature cardiovascular disease in young people in the early phases of common mood disorders.

METHODS

We evaluated the relationships between insulin resistance (assessed by HOMA2-IR) and body mass index (BMI), sex, diagnosis, medication, inflammatory markers and hormonal factors in 327 inpatients with emerging affective and major mood disorders admitted to the Young Adult Mental Health Unit, St Vincent's Private Hospital, Sydney.

RESULTS

While HOMA2-IR scores were positively associated with BMI (r_s  = 0.465, p < .001), they were also higher in those prescribed mood stabilizers (p = .044) but were not associated with specific diagnoses, other medication types or the number of prescribed medications. Further, high-sensitivity C-reactive protein levels (but not thyroid-stimulating hormone and ferritin levels) were positively associated with HOMA2-IR (r_s  = 0. 272, p < .001) and BMI (r_s  = . 409, p < .001).

CONCLUSIONS

In addition to BMI, other non-specific markers of inflammation are associated with early metabolic dysfunction in young people with emerging affective and major mood disorders.

Antidepressant use and risk of adverse outcomes: population-based cohort study

BACKGROUND

Antidepressants are one of the most widely prescribed drugs in the global north. However, little is known about the health consequences of long-term treatment.

AIMS

This study aimed to investigate the association between antidepressant use and adverse events.

METHOD

The study cohort consisted of UK Biobank participants whose data was linked to primary care records (N = 222 121). We assessed the association between antidepressant use by drug class (selective serotonin reuptake inhibitors (SSRIs) and 'other') and four morbidity (diabetes, hypertension, coronary heart disease (CHD), cerebrovascular disease (CV)) and two mortality (cardiovascular disease (CVD) and all-cause) outcomes, using Cox's proportional hazards model at 5- and 10-year follow-up.

RESULTS

SSRI treatment was associated with decreased risk of diabetes at 5 years (hazard ratio 0.64, 95% CI 0.49-0.83) and 10 years (hazard ratio 0.68, 95% CI 0.53-0.87), and hypertension at 10 years (hazard ratio 0.77, 95% CI 0.66-0.89). At 10-year follow-up, SSRI treatment was associated with increased risks of CV (hazard ratio 1.34, 95% CI 1.02-1.77), CVD mortality (hazard ratio 1.87, 95% CI 1.38-2.53) and all-cause mortality (hazard ratio 1.73, 95% CI 1.48-2.03), and 'other' class treatment was associated with increased risk of CHD (hazard ratio 1.99, 95% CI 1.31-3.01), CVD (hazard ratio 1.86, 95% CI 1.10-3.15) and all-cause mortality (hazard ratio 2.20, 95% CI 1.71-2.84).

CONCLUSIONS

Our findings indicate an association between long-term antidepressant usage and elevated risks of CHD, CVD mortality and all-cause mortality. Further research is needed to assess whether the observed associations are causal, and elucidate the underlying mechanisms.

Obsessive-compulsive disorder, insulin signaling and diabetes - A novel form of physical health comorbidity: The sweet compulsive brain

BACKGROUND

While a growing body of research highlights a bi-directional link between diabetes and mood disorders, little is known about the relationship between diabetes and obsessive-compulsive disorder (OCD). The aim of the present review is to investigate current evidence linking OCD, insulin-signaling and diabetes.

METHODS

A PubMed search was conducted to review all the available studies assessing diabetes, glucose metabolism and insulin-signaling in OCD patients and vice versa.

RESULTS

Some clinical and epidemiological studies show a higher prevalence of diabetes in OCD and vice versa compared to the general population. Animal and genetic studies suggest a possible role of insulin-signaling in the pathophysiology of OCD. Deep brain stimulation (DBS) studies suggest that abnormal dopaminergic transmission in the striatum may contribute to impaired insulin sensitivity in OCD. While DBS seems to increase insulin sensitivity, a possible protective role of serotonin reuptake-inhibitors on diabetic risk needs further studies.

CONCLUSION

Despite their preliminary nature, these data highlight the importance of further investigations aimed at assessing metabolic features in OCD patients and OCD symptoms in diabetes patients to understand the impact of each condition on the pathophysiology and course of the other. Understanding the role of insulin in the obsessive-compulsive brain could open new treatment pathways for OCD.

Prospective Risk of Type 2 Diabetes in Normal Weight Women with Polycystic Ovary Syndrome

Background: Polycystic ovary syndrome (PCOS) is associated with obesity and increased risk for type 2 diabetes (T2D). However, the prospective risk of T2D in normal weight women with PCOS is debated, together with the relevant prospective screening programs for T2D in normal weight women with PCOS. Aim: To review and discuss prospective risk of T2D in normal weight women with PCOS, and to give recommendations regarding prospective screening for T2D in normal weight women with PCOS. Methods: Systematic review. Results: A systematic literature search resulted in 15 published prospective studies (10 controlled studies and 5 uncontrolled studies) regarding risk of T2D in study cohorts of PCOS, where data from normal weight women with PCOS were presented separately. In controlled studies, higher risk of T2D in normal weight women with PCOS compared to controls was reported in 4/10 studies, which included one study where T2D diagnosis was based on glucose measurement, two register-based studies, and one study where diagnosis of T2D was self-reported. Six of the 10 controlled studies reported no increased risk of T2D in normal weight women with PCOS. Four of these studies based the diagnosis of T2D on biochemical measurements, which supported the risk of surveillance bias in PCOS. In uncontrolled studies, 2/5 reported a higher risk of T2D in lean women with PCOS compared to the general population. We discuss the evidence for insulin resistance and β-cell dysfunction in normal weight women with PCOS, and aggravation in the hyperandrogenic phenotype, ageing women, and women with Asian ethnicity. Impaired glucose tolerance could be an important metabolic and vascular risk marker in PCOS. Conclusions: The risk of T2D may be increased in some normal weight women with PCOS. Individual risk markers such as hyperandrogenism, age >40 years, Asian ethnicity, and weight gain should determine prospective screening programs in normal weight women with PCOS.

Diabetes and mood disorders: shared mechanisms and therapeutic opportunities

OBJECTIVE

The objective of this manuscript is to provide a comprehensive and critical overview of the current evidence on the association between Diabetes mellitus (DM) and mood disorders [i.e., Major depressive disorder (MDD) and bipolar disorder (BD)], and therapeutic opportunities.

METHODS

We searched in MEDLINE (via Ovid) for placebo-controlled clinical trials published in the last 20 years that assessed drug repurposing approaches for the treatment of DM or mood disorders.

RESULTS

We found seven studies that aimed to verify the effects of antidepressants in patients diagnosed with DM, and eight studies that tested the effect of antidiabetic drugs in patients diagnosed with MDD or BD. Most studies published in the last two decades did not report a positive effect of antidepressants on glycemic control in patients with DM. On the other hand, antidiabetic drugs seem to have a positive effect on the treatment of MDD and BD.

CONCLUSIONS

While effect of antidepressants on glycemic control in patients with DM is still controversial, the use of antidiabetic drugs may be a promising strategy for patients with MDD or BD. Prospective studies are still needed.Key pointsMood disorders in patients with DM affect glycemic control, potentially increasing mortality risk.The effect of antidepressants on glycemic control in patients with DM is still controversial. The coexistence of complicated DM and a mood disorders would require a careful, individualised, and comprehensive evaluation.Insulin resistance may increase the risk of depressive symptoms and is associated with worse outcomes in BD.The use antidiabetic drugs may be a promising strategy for patients with MDD or BD. However, prospective trials are needed to prove a potential antidepressant activity of antidiabetic drugs.

The association between birth weight, ponderal index, psychotropic medication, and type 2 diabetes in individuals with severe mental illness

BACKGROUND

Impaired fetal growth may increase vulnerability towards metabolic disturbances associated with some medications. We examined whether birth weight and ponderal index modify the association between psychotropic medication and type 2 diabetes among young adults with severe psychiatric diagnosis.

METHODS

A total of 36,957 individuals born in Denmark between 1973 and 1983 with a diagnosis of schizophrenia, bipolar disorder, or depression were followed from first diagnosis until 2018. Cox proportional hazard models were applied to analyse risk of type 2 diabetes with use of psychotropic medications and interactions between psychotropic medication and birth weight and ponderal index, respectively.

RESULTS

During follow-up, 1575 (4.2%) individuals received a diagnosis of type 2 diabetes. Use of antipsychotic, mood stabilizing and antidepressant medications were associated with higher hazard ratios (HRs) of type 2 diabetes (HR_{antipsychotics} 1.68 [95%CI 1.49-1.90]; HR_{mood stabilizing medication} 1.41 [95%CI 1.25-1.59]; HR_{antidepressants} 2.00 [95%CI 1.68-2.37]), as were a birth weight below 2500 g (HR 1.13 [95%CI 1.01-1.28]), and high ponderal index (HR 1.26 [95%CI 1.11-1.43]). The highest rates of type 2 diabetes for each psychotropic medication category were found in medication users with low birth weight or high ponderal index. However, neither birth weight nor ponderal index significantly modified the association between psychotropic medication and diabetes risk.

CONCLUSION

Psychotropic medication use, birth weight, and ponderal index were risk factors for type 2 diabetes in patients with severe mental illness, but neither birth weight nor ponderal index modified the association between psychotropic medication and type 2 diabetes.

Association between antidepressant use in pregnancy and gestational diabetes mellitus: Results from the Norwegian Mother, Father and Child Cohort Study

PURPOSE

This study sought to determine the association between gestational diabetes mellitus (GDM) and antidepressant exposure during early-mid pregnancy, overall and according to antidepressant affinity to the histamine-1 (H₁ ) receptor.

METHODS

Data originate from the nation-wide, Norwegian Mother, Father and Child Cohort Study conducted in 1999-2008, linked to the national Medical Birth Registry. The study included 6647 pregnancies within women with depressive/anxiety disorders during and/or 6 months prior to pregnancy. Pregnancies exposed in early-mid gestation to antidepressants having low (group 1, n = 814) or high (group 2, n = 77) affinity to the H₁ receptor were compared to non-medicated (n = 5756). We fit crude and weighted modified Poisson regression models using inverse probability of treatment weighting (IPTW).

RESULTS

Overall, 84 (1.3%) of the pregnancies developed GDM. Relative to non-medicated pregnancies, the risk of GDM was slightly lower in antidepressant group 1 exposed (1.3% vs 1.1%), but more elevated in those exposed to group 2 antidepressants (3.9%). In the weighted analysis, there was no evidence for an association between antidepressant group 1 exposure in early-mid pregnancy and risk of GDM [relative risk (RR): 0.69, 95% confidence interval: 0.31-1.51].

CONCLUSIONS

Gestational use of antidepressants with low H₁ receptor affinity, mainly SSRIs and SNRIs, does not pose a substantial risk of GDM in women with depressive/anxiety disorders in pregnancy, compared to no use.

Associations Between Antidepressant Use and Advanced Diabetes Outcomes in Patients with Depression and Diabetes Mellitus

CONTEXT

Comorbid depression in patients with diabetes deteriorates the prognosis. Antidepressants might attenuate the adverse effects of depression; however, they are associated with cardiometabolic adverse effects.

OBJECTIVE

This study aimed to explore the association between antidepressant treatment and advanced diabetic complications and mortality among patients with depression and diabetes mellitus.

METHODS

We conducted a nationwide retrospective cohort study of 36 276 patients with depression and newly treated diabetes mellitus using Taiwan's universal health insurance database. Antidepressant treatment patterns within a 6-month window were classified into none, poor, partial, and regular use, and we accounted for time-dependent variables in the Cox proportional hazards regression analysis with adjustment for time-dependent comorbidity and concomitant use of medications. Different classes of antidepressants were compared. Macro- and microvascular complications, as well as all-cause mortality, were the main outcomes. Benzodiazepines were chosen as negative control exposure.

RESULTS

Compared with poor use of antidepressants, regular use was associated with a 0.92-fold decreased risk of macrovascular complications and a 0.86-fold decreased risk of all-cause mortality but not associated with microvascular complications. Regular use of selective serotonin reuptake inhibitors was associated with a 0.83- and 0.75-fold decreased risk of macrovascular complications and all-cause mortality, respectively. Regular use of tricyclic or tetracyclic antidepressants was associated with a 0.78-fold decreased risk of all-cause mortality. Regular use of benzodiazepine showed no association with diabetic outcomes.

CONCLUSION

Regular antidepressant use was associated with lower risk of advanced diabetic complications compared with poor adherence. Clinicians should emphasize antidepressant treatment adherence among patients with depression and diabetes mellitus.

Depression-related weight change and incident diabetes in a community sample

This cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview-Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32-2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09-2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03-1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04-1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

Diabetes mellitus in patients using psychotropic medications: How does it work?

Diabetes mellitus (DM) is not a single disease, but a group of diseases that are characterized by chronic hyperglycemia and risk of damage to tissues and organs. The mechanisms of its development are different and due mainly to disorders of insulin secretion or its effects. For this reason, 4 types of DM have been distinguished. One of them is a specific type of DM, determined, inter alia, by the use of certain psychotropic medications. Chronic hyperglycemia often occurs in association with some of these drugs, but in many cases it is categorized erroneously as type 2 (T2DM) or 1 (T1DM). The relationship between DM and psychiatric disorders is bi-directional, involving two mutually independent risk factors for the development of the disease. However, not all patients with a mental illness develop carbohydrate metabolism disorders, which is due to a varied diabetogenic potential and mechanisms of action of psychotropic medications. In clinical practice, questions concerning the frequency of this type of DM, risk factors of its development and hyperglycemic mechanism of psychotropic medications arise. Therefore, the aim of this article is to attempt to answer these questions. From a practical point of view, obtaining such information should allow for the development of appropriate diagnostic and therapeutic procedures.

Psychiatric disorders as risk factors for type 2 diabetes: An umbrella review of systematic reviews with and without meta-analyses

Having a psychiatric disorder may increase the risk of developing type 2 diabetes[T2D] and this umbrella review aims to determine whether people with a psychiatric disorder have an increased risk of developing T2D and to investigate potential underlying mechanisms. A literature search was performed to identify systematic reviews of longitudinal studies investigating different psychiatric disorders as risk factors for incident T2D in humans (≥18 years). A total of 8612 abstracts were identified, 180 full-text articles were read, and 25 systematic reviews were included. Six categories of psychiatric disorders were identified. Except for eating disorders, all psychiatric disorders were associated with increased risk of incident T2D ranging from RR = 1.18 [95% CI 1.12-1.24] to RR = 1.60 [95% CI 1.37-1.88] for depression; from RR = 1.27 [95% CI 1.19-1.35] to OR = 1.50 [95% CI 1.08-2.10] for use of antidepressant medication; from OR = 1.93 [1.37-2.73] to OR = 1.94 [1.34-2.80] for use of antipsychotic medication; from RR = 1.55 [95% CI 1.21-1.99] to RR = 1.74 [95% CI 1.30-2.34] for insomnia, and finally showed OR = 1.47 [95% CI 1.23-1.75] for anxiety disorders. Plausible underlying mechanisms were discussed, but in most reviews corrections for mechanisms did not explain the association. Notable, only 16% of the systematic reviews had a high methodological quality.

Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

This study aimed at examining the effects of different antidepressants on the new onset of T2DM.

METHODS

Systematic literature retrieval for cohort and case-control studies was conducted in PubMed, Embase, Web of Science, Cochrane library, Clinical Trials Register of the Cochrane Collaboration and CENTRAL published from January 2000 to October 2020. Pooled estimates were calculated and subgroup analyses were conducted by a fixed or random effects model according to the heterogeneity. Funnel plots and Egger's test were performed to evaluate publication bias. Stata Version 15.1 was used for data analysis.

RESULTS

Thirty studies (24 cohort, 4 nested case-control and 2 case-control studies) were included covering 2,875,567 participants with the follow-up periods from 1 year to 18 years (Median=8.4 years). The pooled estimates of antidepressants use and new-onset T2DM were HR=1.24 (95% CI: 1.18, 1.31), RR=1.42 (95% CI: 0.99, 2.05) and OR=1.17 (95% CI: 1.03, 1.32), respectively. However, subgroup analyses showed that only tricyclic antidepressants (TCAs) use was positively associated with the new onset of T2DM in both cohort studies (combined RR=1.39, 95% CI: 1.17, 1.65) and case-control studies (combined OR=1.25, 95% CI: 1.05, 1.50). Moreover, the risk of T2DM was increased with the duration of antidepressants use in a linear trend (R²= 88.51%, P = 0.009).

LIMITATIONS

Heterogeneity might impact the results and inference.

CONCLUSIONS

Antidepressants use might be a risk factor for the new onset of T2DM. Patients with long-term antidepressants use should be evaluated cautiously for T2DM risk. Routine T2DM screening is necessary in antidepressants users.

Association of Low-Dose Quetiapine and Diabetes

IMPORTANCE

Quetiapine has been associated with increased risk of type 2 diabetes when used in medium or high doses for the treatment of severe mental disorders. It is not known whether low doses, commonly used off-label for sedative-hypnotic purposes, are also associated with increased risk of type 2 diabetes.

OBJECTIVE

To investigate whether there is an association between prescription of low-dose quetiapine and the risk of type 2 diabetes.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study examined nationwide Danish health registers for data regarding new users of quetiapine (n = 185 938) or selective serotonin reuptake inhibitors (SSRIs) (n = 1 031 920) who were aged 18 years or older between January 1, 1998, and December 31, 2018. Individuals with schizophrenia or bipolar disorder were excluded. Quetiapine-initiators were matched 1:1 with initiators of SSRIs, using a high-dimensional propensity score (hdPS). Maximum follow-up was 5 years. Association with cumulative dose was investigated, using a case-control approach nested among quetiapine users. Data analysis was performed from May to September 2020.

EXPOSURES

Dispensing of quetiapine or SSRIs. Quetiapine prescriptions were limited to tablet strengths of 25 mg and 50 mg to focus on low-dose use.

MAIN OUTCOMES AND MEASURES

Incident type 2 diabetes was defined as first filling of an antidiabetic medication, first register diagnosis of type 2 diabetes or first hemoglobin A1C measurement greater than or equal to 6.4% (≥48 mmol/mol). Incidence rates (IRs), incidence rate ratios (IRRs), and number-needed-to-harm (NNH) were calculated for full and matched cohorts using as-treated and intention-to-treat approaches. Odds ratios (ORs) were calculated for the association with cumulative quetiapine dose.

RESULTS

Altogether, 896 285 patients were included in the full cohort; 538 164 (60%) were female and the median (interquartile range) age was 47 (33-67) years. There were 57 701 low-dose quetiapine initiators and 838 584 SSRI initiators. The matched cohort consisted of 54 616 pairs. In as-treated analyses, the incidence of type 2 diabetes during treatment with low-dose quetiapine (425 cases) was 9.59 cases/1000 person-years (PY) (95% CI, 8.72-10.5/1000 PY), which was slightly higher than for SSRI users (8462 cases; IR, 8.13/1000 PY; 95% CI, 7.96-8.30/1000 PY), resulting in a significant IRR of 1.18 (95% CI, 1.07-1.30) and NNH of 684 (95% CI, 418-1873). However, the between-group difference was nonsignificant in the hdPS-matched cohort (IR, 9.49 vs IR, 9.58; IRR, 0.99; 95% CI, 0.87-1.13). The case-control analysis found no dose-response association of low-dose quetiapine with diabetes (OR for doubling of the cumulative dose: 1.02; 95% CI, 0.95-1.09; P = .54), but in sensitivity analyses higher daily doses were associated with diabetes (all tablet strengths: OR, 1.08; 95% CI, 1.03-1.13).

CONCLUSIONS AND RELEVANCE

In this cohort study, use of low-dose quetiapine was not associated with excess risk of type 2 diabetes in comparison with SSRIs.

Understanding the relationship between type 2 diabetes and depression: lessons from genetically informative study designs

AIMS

To conduct a systematic review in order to comprehensively synthesize the findings from a diverse range of genetically informative studies on comorbid depression and type 2 diabetes.

METHODS

Database searches (1 January 2008 to 1 June 2020) in PubMed and EMBASE were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Eligible reports employed any type of genetically informed design, including twin modelling, Mendelian randomization, genome-wide association studies, polygenetic risk scores, or linkage disequilibrium score regression. Searches generated 451 unique citations, and 16 manuscripts met the inclusion criteria.

RESULTS

The included studies addressed three aetiological models of the depression-diabetes relationship: uni- or bi-directional phenotypic causation; shared genetic liability; or gene-environment interaction. From these studies, there is modest evidence that type 2 diabetes is causally related to risk of developing depression, but much more limited evidence that depression is causally related to risk of diabetes. There is little evidence of shared genetic liability between depression and diabetes or of gene-environment interaction.

CONCLUSIONS

Findings from genetically informed studies are mixed but provide some support for the uni- or bi-directional phenotypic model of depression and type 2 diabetes. Future studies should also explore the hypothesis that this relationship may be influenced by shared environmental risk factors. Findings can inform multifaceted approaches to diabetes prevention and care that reflect how psychosocial factors contribute to type 2 diabetes risk and outcomes.

The impact of insulin on the serotonergic system and consequences on diabetes-associated mood disorders

The idea that insulin could influence emotional behaviours has long been suggested. However, the underlying mechanisms have yet to be solved and there is no direct and clear-cut evidence demonstrating that such action involves brain serotonergic neurones. Indeed, initial arguments in favour of the association between insulin, serotonin and mood arise from clinical or animal studies showing that impaired insulin action in type 1 or type 2 diabetes causes anxiety- and depressive symptoms along with blunted plasma and brain serotonin levels. The present review synthesises the main mechanistic hypotheses that might explain the comorbidity between diabetes and depression. It also provides a state of knowledge of the direct and indirect experimental evidence that insulin modulates brain serotonergic neurones. Finally, it highlights the literature suggesting that antidiabetic drugs present antidepressant-like effects and, conversely, that serotonergic antidepressants impact glucose homeostasis. Overall, this review provides mechanistic insights into how insulin signalling alters serotonergic neurotransmission and related behaviours bringing new targets for therapeutic options.

Antidepressants and Risk of Type 2 Diabetes Mellitus: A Population-Based Nested Case-Control Study

PURPOSE/BACKGROUND

The increased risk of type 2 diabetes mellitus (T2DM) among users of antidepressants (ADs) might be mediated by depression. We investigated whether ADs are associated with increased risk of T2DM in patients with depression. Moreover, the relationship between binding affinities of serotonin transporter (SERT) of ADs and the risk of T2DM is examined.

METHODS/PROCEDURES

We conducted a retrospective nested case-control study using data from Taiwan's National Health Insurance Research Database between 2000 and 2013. A total of 3038 patients with depression, 1519 cases of T2DM, and 1519 controls matched for age, sex, and index date, were included. Exposure to ADs was categorized by type and SERT. The association between AD exposure and T2DM development was assessed using conditional logistic regression analysis.

FINDINGS/RESULTS

No association between T2DM development and selective serotonin reuptake inhibitors (adjusted odds ratio [AOR], 1.01; 95% confidence interval [CI], 0.87-1.19; P = 0.962), serotonin-norepinephrine reuptake inhibitors (AOR, 1.13; 95% CI, 0.94-1.37; P = 1.196), tricyclic antidepressants (AOR, 1.01; 95% CI, 0.85-1.21; P = 0.906), or others (AOR, 0.88; 95% CI, 0.75-1.03; P = 0.104) was found. Alternatively, no association between individual ADs and potency of affinity to SERT and the risk of T2DM was found.

IMPLICATIONS/CONCLUSIONS

No association between ADs and increase risk of T2DM was found in patients with depression. However, regular metabolic evaluations are recommended for patients with depression regularly taking ADs.

Association of Selective Serotonin Reuptake Inhibitors With the Risk of Type 2 Diabetes in Children and Adolescents

IMPORTANCE

Concerns exist that use of selective serotonin reuptake inhibitors (SSRIs) increases the risk of developing type 2 diabetes (T2D) in adults, but evidence in children and adolescents is limited. In the absence of a randomized clinical trial, evidence must be generated using real-world data.

OBJECTIVE

To evaluate the safety of SSRI use in children and adolescents with respect to the associated risk of T2D.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study of patients aged 10 to 19 years with a diagnosis for an SSRI treatment indication was conducted within the nationwide Medicaid Analytic eXtract (MAX; January 1, 2000, to December 31, 2014) and the IBM MarketScan (January 1, 2003, to September 30, 2015) databases. Data were analyzed from November 1, 2018, to December 6, 2019.

EXPOSURES

New users of an SSRI medication and comparator groups with no known metabolic adverse effects (no antidepressant exposure, bupropion hydrochloride exposure, or psychotherapy exposure). Within-class individual SSRI medications were compared with fluoxetine hydrochloride.

MAIN OUTCOMES AND MEASURES

Incident T2D during follow-up. Intention-to-treat effects were estimated using Cox proportional hazards regression models, adjusting for confounding through propensity score stratification. As-treated effects to account for continuous treatment were estimated using inverse probability weighting and marginal structural models.

RESULTS

A total of 1 582 914 patients were included in the analysis (58.3% female; mean [SD] age, 15.1 [2.3] years). The SSRI-treated group included 316 178 patients in the MAX database (publicly insured; mean [SD] age, 14.7 [2.1] years; 62.2% female) and 211 460 in the MarketScan database (privately insured; mean [SD] age, 15.8 [2.3] years; 63.9% female) with at least 2 SSRI prescriptions filled, followed up for a mean (SD) of 2.3 (2.0) and 2.2 (1.9) years, respectively. In publicly insured patients, initiation of SSRI treatment was associated with a 13% increased hazard of T2DM (intention-to-treat adjusted hazard ratio [aHR], 1.13; 95% CI, 1.04-1.22) compared with untreated patients. The association strengthened for continuous SSRI treatment (as-treated aHR, 1.33; 95% CI, 1.21-1.47), corresponding to 6.6 (95% CI, 4.2-10.4) additional cases of T2D per 10 000 patients treated for at least 2 years. Adjusted HRs were lower in privately insured patients (intention-to-treat aHR, 1.01 [95% CI, 0.84-1.23]; as-treated aHR, 1.10 [95% CI, 0.88-1.36]). Findings were similar when comparing SSRI treatment with psychotherapy (publicly insured as-treated aHR, 1.44 [95% CI, 1.25-1.65]; privately insured as-treated aHR, 1.21 [95% CI, 0.93-1.57]), whereas no increased risk was observed compared with bupropion treatment publicly insured as-treated aHR, 1.01 [95% CI, 0.79-1.29]; privately insured as-treated aHR, 0.87 [95% CI, 0.44-1.70]). For the within-class analysis, no medication had an increased hazard of T2D compared with fluoxetine.

CONCLUSIONS AND RELEVANCE

These findings suggest that children and adolescents initiating SSRI treatment may be at a small increased risk of developing T2D, particularly publicly insured patients. The magnitude of association was more modest than previously reported, and the absolute risk was small. The potential small risk should be viewed in relation to the efficacy of SSRIs for its major indications in young patients.

Association Between Psychological Distress and Stress-Related Symptoms and Increased Risk of Type 2 Diabetes in Male Individuals: An Observational Study

Background

This study evaluated the association between psychological distress and development of type 2 diabetes (T2D) among male individuals in the workplace.

Methods

This observational cohort study enrolled 6,326 male participants aged 18 - 65 years (mean age 47.4 ± 9.5 years, body mass index 23.4 ± 3.4 kg/m², hemoglobin A1c 5.5±0.3%), who received annual health checkups from April 2016 to March 2017. Those who had a hemoglobin A1c level ≥ 6.5%, previous history of diabetes, or used diabetes medication were excluded from the analysis. Psychological distress was measured using the Brief Job Stress Questionnaire. Multivariate Cox proportional hazard regression models were used to estimate the development of T2D in relation to psychological distress and stress-related symptoms. The calculated hazard ratio (aHR) was adjusted for age, body mass index, and hemoglobin A1c level.

Results

During a mean follow-up period of 1.9 years, the incidence rate of new-onset T2D was 2.0%. Baseline psychological parameters did not differ between participants with or without new-onset T2D. Depression was associated with an increased risk of T2D (aHR = 1.54, 95% confidence interval (CI): 1.07 - 2.22), whereas vigor, irritation, fatigue, and anxiety were not. Moreover, inability to handle work (aHR = 2.18, 95% CI: 1.14 - 4.19), sadness (aHR = 1.93, 95% CI: 1.14 - 3.26), headache (aHR = 1.98, 95% CI: 1.18 - 3.34), shoulder stiffness (aHR = 1.56, 95% CI: 1.10 - 2.23), and constipation/diarrhea (aHR = 1.71, 95% CI: 1.04 - 2.80) were associated with T2D incidence.

Conclusions

Depression and stress-related symptoms were associated with an increased risk of T2D. Industrial physicians and health care providers should evaluate these factors during health checkups to lower the T2D incidence in this population

Increased risk of type 2 diabetes in antidepressant users: evidence from a 6-year longitudinal study in the E3N cohort

AIM

To examine the association between antidepressant medication use and the risk of type 2 diabetes.

METHODS

Data were obtained from the E3N study (Étude Épidémiologique de Femmes de la Mutuelle Générale de l'Éducation Nationale), a French cohort study initiated in 1990, with questionnaire-based follow-up every 2 or 3 years. Exposure to antidepressants was obtained from drug reimbursement files available from 2004 onwards, and individually matched with questionnaire data. Cases of type 2 diabetes were identified from drug reimbursements. Cox proportional-hazard regression models were used, with drug exposure considered as a time-varying parameter.

RESULTS

Of the 63 999 women who were free of drug-treated type 2 diabetes at baseline in 2005, 1124 developed type 2 diabetes over the 6-year follow-up. Current use of antidepressants was associated with an increased risk of type 2 diabetes [hazard ratio 1.34 (95% CI 1.12, 1.61)] compared to non-users. When the different types of antidepressants were considered, women who currently used selective serotonin reuptake inhibitors, imipramine-type, 'other' or 'mixed' antidepressants had a 1.25-fold (95% CI 0.99, 1.57), 1.66-fold (95% CI 1.12, 2.46), 1.35-fold (95% CI 1.00, 1.84) and 1.82-fold (95% CI 0.85, 3.86) increase in risk of type 2 diabetes compared to non-users, respectively.

CONCLUSION

Our study suggests a positive association between antidepressant use and the risk of type 2 diabetes among women. If this association is confirmed, screening and surveillance of glucose levels should be considered in the context of antidepressant therapy. Further studies assessing the underlying mechanisms of this association are needed. (ClinicalTrials.gov identifier: NCT03285230).

Impact of Psychotropic Medication Effects on Obesity and the Metabolic Syndrome in People With Serious Mental Illness

People with serious mental illness (SMI), including schizophrenia, bipolar disorder, and major depressive disorder, have a higher mortality rate and shortened life expectancy. This is mainly attributable to physical diseases, particularly cardiovascular diseases (CVDs). Important risk factors for CVDs are obesity and other metabolic abnormalities, which are especially prevalent in people with SMI. Several factors contribute to this increased risk, including unhealthy lifestyles. Psychotropic medication independently further increases this risk. In this review we want to examine the relationship between obesity and other components of the metabolic syndrome and psychotropic medication in people with SMI.

[Antidepressant Medication Use and Development of Hyperglycemia and Diabetes Mellitus: A Japanese Adverse Drug Event Report Database Study]

Few studies have examined the relationship between the use of antidepressants and the onset of hyperglycemia and diabetes mellitus in Japan. We herein explored the possibility of this relationship using the Japanese Adverse Drug Event Report database (JADER). The present study included 20 individual antidepressants, consisting of 6 subclasses, which have been approved for use in Japan. We used Standardized MedDRA Queries 20000041 to extract patients who developed hyperglycemia/new onset diabetes mellitus (NODM) in JADER between April 2004 and September 2016. We calculated reporting odds ratios (RORs) with 95% confidence intervals (CI). We also calculated odds ratios defined as the ratio of odds of hyperglycemia/NODM to all other adverse drug events (ADEs) by the age cut-off group or sex in the cases of antidepressants. The lower limit of 95%CI of RORs for 13 antidepressants (imipramine, clomipramine, nortriptyline, amitriptyline, amoxapine, maprotiline, mianserin, sertraline, paroxetine, escitalopram, duloxetine, mirtazapine, and trazodone), which included all subclasses, exceeded 1. Younger age group was associated with hyperglycemia/NODM for 5 antidepressants (imipramine, amitriptyline, maprotiline, duloxetine, and trazodone), and female was associated with the ADEs for trazodone, although these results should be interpreted cautiously. Healthcare personnel need to be aware that the use of antidepressants may lead to hyperglycemia/NODM.

Antidepressant treatment for primary care patients with depressive symptoms: Data from the diamond longitudinal cohort study

BACKGROUND

In light of emerging evidence questioning the safety of antidepressants, it is timely to investigate the appropriateness of antidepressant prescribing. This study estimated the prevalence of possible over- and under-treatment with antidepressants among primary care attendees and investigated the factors associated with potentially inappropriate antidepressant use.

METHODS

In all, 789 adult primary care patients with depressive symptoms were recruited from 30 general practices in Victoria, Australia, in 2005 and followed up every 3 months in 2006 and annually from 2007 to 2011. For this study, we first assessed appropriateness of antidepressant use in 2007 at the 2-year follow-up to enable history of depression to be taken into account, providing 574 (73%) patients with five yearly assessments, resulting in a total of 2870 assessments. We estimated the prevalence of use of antidepressants according to the adapted National Institute for Health and Care Excellence guidelines and used regression analysis to identify factors associated with possible over- and under-treatment.

RESULTS

In 41% (243/586) of assessments where antidepressants were indicated according to adapted National Institute for Health and Care Excellence guidelines, patients reported not taking them. Conversely in a third (557/1711) of assessments where guideline criteria were unlikely to be met, participants reported antidepressant use. Being female and chronic physical illness were associated with antidepressant use where guideline criteria were not met, but no factors were associated with not taking antidepressants where guideline criteria were met.

CONCLUSIONS

Much antidepressant treatment in general practice is for people with minimal or mild symptoms, while people with moderate or severe depressive symptoms may miss out. There is considerable scope for improving depression care through better allocation of antidepressant treatment.

Diabetes mellitus risk for 102 drugs and drug combinations used in patients with bipolar disorder

OBJECTIVE

To compare the largest set of bipolar disorder pharmacotherapies to date (102 drugs and drug combinations) for risk of diabetes mellitus (DM).

METHODS

The IBM MarketScan® database was used to retrospectively analyze data on 565,253 adults with bipolar disorder without prior glucose metabolism-related diagnoses. The pharmacotherapies compared were lithium, mood-stabilizing anticonvulsants, antipsychotics, and antidepressants (monotherapy and multi-class polypharmacy). Cox regression modeling included fixed pre-treatment covariates and time-varying drug exposure covariates to estimate the hazard ratio (HR) of each treatment versus "No drug".

RESULTS

The annual incidence of new-onset diabetes during the exposure period was 3.09 % (22,951 patients). The HR of drug-dependent DM ranged from 0.79 to 2.37. One-third of the studied pharmacotherapies, including most of the antipsychotic-containing regimens, had a significantly higher risk of DM compared to "No drug". A significantly lower DM risk was associated with lithium, lamotrigine, oxcarbazepine and bupropion monotherapies, selective serotonin reuptake inhibitors (SSRI) mono-class therapy and several drug combinations containing bupropion and an SSRI. As additional drugs were combined in more complex polypharmacy, higher HRs were consistently observed.

CONCLUSIONS

There is an increased risk of diabetes mellitus associated with antipsychotic and psychotropic polypharmacy use in bipolar disorder. The evidence of a lower-than-baseline risk of DM with lamotrigine, oxcarbazepine, lithium, and bupropion monotherapy should be further investigated.

Antipsychotic Exposure in Pregnancy and the Risk of Gestational Diabetes: A Systematic Review and Meta-analysis

BACKGROUND

We have limited knowledge about the effects of antipsychotic exposure on the development of gestational diabetes mellitus (GDM). Aim of this study is to perform a systematic review and meta-analysis to assess GDM risk associated with antipsychotic exposure in pregnancy.

METHODS

Systematic literature search was performed using PubMed, Science Direct, Scopus, and Web of Science databases up to August 22, 2018. No restrictions to language or date were applied. Randomized, controlled trials, case-control, or cohort studies reporting GDM risk in antipsychotic-exposed, healthy controls or antipsychotic-ceased patients were included in the meta-analysis. The primary outcomes were study defined GDM, including number of events, odds ratios, and/or risk ratios (RR) with confidence intervals (CI).

RESULTS

Ten studies were included in the meta-analysis. The total number of subjects was 6213 for the antipsychotic-exposed group, 6836 for antipsychotic-ceased control group, and 1 677 087 for the healthy control group. Compared with the healthy controls, the unadjusted cumulative RR for GDM associated with antipsychotic use was 1.63 (95% CI = 1.20-2.22). Adjusted risk for GDM was significantly higher in antipsychotic exposure group than in healthy controls (RR = 1.30, 95% CI = 1.023-1.660). The adjusted RR for GDM was similar between the antipsychotic-exposed group and the antipsychotic-ceased group (RR = 0.78, 95% CI = 0.281-2.164). No significant association was found between study quality, smoking, alcohol use, gestational age, and cumulative GDM risk.

DISCUSSION

Our results indicate an increased risk of GDM with antipsychotic exposure in pregnant women, who may benefit from close pregnancy monitoring, early testing for GDM, targeting modifiable risk factors, and lifestyle modifications.

Association Between Antidepressant Medication Use and Prevalence and Control of Cardiovascular Risk Factors in Community-Dwelling Older Adults: The Italian Health Examination Survey 2008-2012

Background: To assess the association of antidepressant (AD) medication use with prevalence and control of cardiovascular (CV) risk factors. Methods: Data of older adults from the population-based Italian Osservatorio Epidemiologico Cardiovascolare/Health Examination Survey (OEC/HES) Study 2008-2012 were used. CV risk factors were measured using standardized procedures. Information on clinical features, lifestyles, and medications was collected using standardized questionnaires. Logistic regression models were elaborated to assess associations between AD use and prevalence and control of CV risk factors. Results: Around 2549 participants (age 71.4 ± 4.2 years, 51.3% men) were studied; 268 (10.5%) were AD users. Of these, 72.4% used selective serotonin reuptake inhibitors (SSRI). AD users had less favorable CV risk factor profile and were less likely to achieve control of blood pressure and total cholesterol. After multiple adjustment for potentially confounding variables, AD use was associated with greater likelihood of having diabetes (OR = 1.05, 95% CI = 1.02-1.10, P = 0.008), hypertension (OR = 1.10, 95% CI = 1.05-1.20, P = 0.003), and hypercholesterolemia (OR = 1.08, 95% CI = 1.04-1.14, P < 0.001). Among participants treated for hypertension and hypercholesterolemia, AD use was associated with poorer control of BP (OR = 1.07, 95% CI = 1.03-1.12, P = 0.001) and cholesterol (OR = 1.06, 95% CI = 1.01-1.12, P = 0.021). Results persisted virtually unchanged when analyses were restricted to participants on SSRI. Conclusions: AD use was associated with greater prevalence and poorer control of traditional risk factors for CV disease in a population-based sample of older adults. Such results highlight the need for surveillance of CV risk factors and promotion of healthy lifestyles in older adults with psychopathology and, in particular, in those under AD treatment.

Antidepressant use during pregnancy and the risk of gestational diabetes mellitus: a nested case-control study

OBJECTIVES

The aim of this study was to determine the association between antidepressant (AD) classes, types and duration of use during pregnancy and the risk of gestational diabetes mellitus (GDM).

DESIGN AND SETTING

A nested case-control study was conducted within the Quebec Pregnancy Cohort (QPC), a Canadian provincial database which includes data on all pregnancies and children in Quebec from January 1998 to December 2015.

PRIMARY OUTCOME MEASURES

Gestational diabetes mellitus.

PARTICIPANTS

Cases of GDM were identified after week 20 of pregnancy and randomly matched 1:10 to controls on gestational age at index date (ie, calendar date of GDM) and year of pregnancy. AD exposure was assessed by filled prescriptions between the beginning of pregnancy (first day of last menstrual period) and index date. Conditional logistic regression models were used to estimate crude and adjusted odds ratios (aOR).

RESULTS

Among 20 905 cases and 209 050 matched controls, 9741 (4.2%) women were exposed to ADs. When adjusting for potential confounders, AD use was associated with an increased risk of GDM (aOR 1.19, 95% CI 1.08 to 1.30); venlafaxine (aOR 1.27, 95% CI 1.09 to 1.49) and amitriptyline (aOR 1.52, 95% CI 1.25 to 1.84) were also associated with an increased risk of GDM. Moreover, the risk of GDM was increased with longer duration of AD use, specifically for serotonin norepinephrine reuptake inhibitors, tricyclic ADs and combined use of two AD classes. No statistically significant association was observed for selective serotonin reuptake inhibitors.

CONCLUSION

The findings suggest that ADs-and specifically venlafaxine and amitriptyline-were associated with an increased risk of GDM.

The Association Between Selective Serotonin Reuptake Inhibitors and Glycemia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

OBJECTIVE

Individual studies have reported conflicting effects of selective serotonin reuptake inhibitors (SSRIs) on glycemia. We systematically reviewed the effects of SSRIs on glycemia and whether metabolic and psychological factors moderated these effects.

METHODS

We systematically searched for placebo-controlled randomized controlled trials investigating the effect of SSRIs on glycemia (fasting blood glucose or HbA1c) as a primary or secondary outcome. Random effects meta-analysis was conducted to compute an overall treatment effect. Meta-regression tested whether depression, type 2 diabetes, insulin resistance, treatment duration, and weight loss moderated treatment effects.

RESULTS

Sixteen randomized controlled trials (n = 835) were included and glycemia was usually a secondary outcome. Overall, SSRIs improved glycemia versus placebo (pooled effect size (ES) = -0.34, 95% confidence interval (CI) = -0.48 to -0.21; p < .001, I = 0%). Individually, fluoxetine (ES = -0.29, 95% CI = -0.54 to -0.05; p = .018) and escitalopram/citalopram (ES = -0.33, 95% CI = -0.59 to -0.07; p = .012) outperformed placebo, but paroxetine (ES = -0.19, 95% CI = -0.58 to 0.19; p = .33) did not. Results were similar in populations selected for depression as those not. Across studies, baseline insulin resistance (p = .46), treatment duration (p = .47), diabetes status (p = .41), and weight loss (p = .93) did not moderate changes. Heterogeneity for all analyses was nonsignificant.

CONCLUSIONS

SSRIs seem to have an association with improvement in glycemia, which is not moderated by depression status, diabetes status, or change in weight across studies. Future powered trials with longer treatment duration are needed to confirm these findings.

REGISTRATION

PROSPERO ID: CRD4201809239.

Another Step Toward Clarifying the Benefits and Burdens of Selective Serotonin Reuptake Inhibitors

Selective serotonin reuptake inhibitors (SSRIs) have substantial beneficial effects for the treatment of major depressive mood disorders and other conditions but can also result in unwanted clinical outcomes. One of the reported disadvantages of SSRIs, based on cross-sectional studies, is their adverse effects on glycemic control. However, in this issue of Psychosomatic Medicine, Tharmaraja et al. report a meta-analysis of 16 randomized controlled trials, demonstrating beneficial effects of SSRIs on changes in glycemia. In this editorial, the advantages of meta-analysis in biobehavioral medicine are highlighted as well as the importance of the study designs (observational studies versus randomized controlled trials) on which the meta-analyses are based. This article concludes with an outline for future research directions in the area of SSRIs and glycemic control.

Major Depression and Comorbid Diabetes - Findings from the European Group for the Study of Resistant Depression

OBJECTIVE

The major aim of this multicenter study of the European Group for the Study of Resistant Depression (GSRD) was to elucidate associations between major depressive disorder (MDD) and comorbid diabetes.

METHODS

Demographic and clinical information of 1410 patients with a primary MDD diagnosis according to DSM-IV were retrieved cross-sectionally between 2012 and 2016. By applying descriptive statistics, analyses of covariance (ANCOVA) and binary logistic regression analyses, a comparison between patient characteristics with and without comorbid diabetes was performed.

RESULTS

The point prevalence rate for comorbid diabetes across MDD patients was 6%. Individuals with MDD + comorbid diabetes were significantly older, heavier, more likely to be inpatient and diagnosed with additional comorbid chronic somatic diseases. In addition, current suicide risk was significantly increased and melancholic features were more likely pronounced. In general, patients in the MDD + diabetes group received a combination therapy with at least one additional antidepressant rather than various other augmentation strategies.

CONCLUSION

Our analyses depict a lower prevalence rate of diabetes in MDD patients than previous studies. However, in light of the prevalence of diabetes in the geographical area of the study, we found an increased risk for individuals with depression compared to the general population. Current suicide risk is markedly elevated and has to be thoroughly assessed in every patient with comorbid diabetes. Depression severity and treatment response remained unaffected by concurrent diabetes in MDD.

Anticholinergic burden and fractures: a protocol for a methodological systematic review and meta-analysis

INTRODUCTION

Medications with anticholinergic activity are used in the treatment of many diseases common in old age, including depression, psychosis, Parkinson's disease, allergies, pain and urinary incontinence. A high anticholinergic burden (ACB) is considered a major risk factor for fractures in older adults but recent studies reported inconsistent results. These inconsistencies may partly be due to differences in methodological aspects. However, no systematic review so far has addressed this association and considered study methods. Thus, we aim to conduct a systematic review and meta-analysis of observational studies addressing the association of ACB with fractures and to provide a methodological appraisal of the included studies.

METHODS AND ANALYSIS

We will search MEDLINE, EMBASE, the Science Citation Index, CENTRAL and grey literature using a strategy that combines the terms anticholinergic and fractures. We will hand search reference lists of articles. Two reviewers will independently screen all identified abstracts for eligibility and evaluate the risk of bias of the included studies using the Newcastle-Ottawa Quality Assessment Scale and RTI item bank. Discrepancies will be resolved by consensus or consultation with a third researcher. We will conduct a meta-analysis, either for the overall population or for specific and more homogeneous subgroups, if the number of studies retrieved and their heterogeneity allows it.

ETHICS AND DISSEMINATION

No ethics approval will be sought, as no original data will be collected for this review. Findings will be disseminated through peer-reviewed publication and conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42018116737.

Physical activity for diabetes-related depression: A systematic review and meta-analysis

Patients with diabetes have an increased risk of developing depression compared with non-diabetic individuals. We aimed to examine the utility of physical activity in the treatment of diabetes-related depression using a meta-analysis. Multiple databases were searched from inception to February 1, 2018. A random effects pooling model was used to examine the standardized mean difference and mean difference in the meta-analysis. A sensitivity analysis and meta-regression analyses were performed. Fourteen studies were included in a systematic review (1020 patients), while 13 were included in a meta-analysis (962 patients). Physical activity had a beneficial effect on depression as measured by Hedge's g (standardized mean difference = -0.59; 95% CI = -0.93 to -0.24). A sensitivity analysis indicated that the findings did not change in a meaningful way with the exclusion of studies with a high or unknown risk of bias in incomplete outcome data. Meta-regression analyses demonstrated that no covariate significantly influenced the main effect size. Physical activity had a significantly beneficial effect on depression as measured by the Beck Depression Inventory (mean difference = -2.90; 95% CI = -4.53 to -1.28). These findings suggest that physical activity may help ameliorate depression in patients with diabetes.

What is the prevalence, and what are the clinical correlates, of insulin resistance in young people presenting for mental health care? A cross-sectional study

OBJECTIVES

To report the distribution and predictors of insulin resistance (IR) in young people presenting to primary care-based mental health services.

DESIGN

Cross-sectional.

SETTING

Headspace-linked clinics operated by the Brain and Mind Centre of the University of Sydney.

PARTICIPANTS

768 young people (66% female, mean age 19.7±3.5, range 12-30 years).

MAIN OUTCOME MEASURES

IR was estimated using the updated homeostatic model assessment (HOMA2-IR). Height and weight were collected from direct measurement or self-report for body mass index (BMI).

RESULTS

For BMI, 20.6% of the cohort were overweight and 10.2% were obese. However, <1% had an abnormally high fasting blood glucose (>6.9 mmol/L). By contrast, 9.9% had a HOMA2-IR score >2.0 (suggesting development of IR) and 11.7% (n=90) had a score between 1.5 and 2. Further, there was a positive correlation between BMI and HOMA2-IR (r=0.44, p<0.001). Participants in the upper third of HOMA2-IR scores are characterised by younger age, higher BMIs and depression as a primary diagnosis. HOMA2-IR was predicted by younger age (β=0.19, p<0.001) and higher BMI (β=0.49, p<0.001), together explaining 22% of the variance (F_(2,361)=52.1, p<0.001).

CONCLUSIONS

Emerging IR is evident in a significant subgroup of young people presenting to primary care-based mental health services. While the major modifiable risk factor is BMI, a large proportion of the variance is not accounted for by other demographic, clinical or treatment factors. Given the early emergence of IR, secondary prevention interventions may need to commence prior to the development of full-threshold or major mood or psychotic disorders.

Adipokine levels are associated with insulin resistance in antipsychotics users independently of BMI

BACKGROUND

The prevalence of obesity, metabolic syndrome and type 2 diabetes mellitus is increased among patients with severe mental disorders, and particularly use of second generation antipsychotic drugs is associated with metabolic side effects. Antipsychotics have been found to alter levels of adipokines which regulate insulin sensitivity, but their role in antipsychotic-associated insulin resistance is not established, and it is unclear whether adipokines affect insulin resistance independently of body mass index (BMI).

METHODS

We included 1050 patients with severe mental disorders and 112 healthy controls aged 18-65 years from the Oslo area, Norway. Clinical variables, BMI and use of medication were assessed, fasting blood samples were obtained for calculation of the leptin/adiponectin ratio (L/A ratio) and estimate of insulin resistance using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Case-control analyses were followed by mediation analyses to evaluate the possible direct effect of antipsychotics on HOMA-IR and indirect effect mediated via the L/A ratio. This was performed both with and without adjustment for BMI, in the total sample and in an antipsychotic monotherapy subsample (N = 387).

RESULTS

BMI, L/A ratio and HOMA-IR were significantly higher in patients than controls (p < 0.001-p = 0.01). There was a significant direct effect from use of antipsychotics in general on HOMA-IR both without (b = 0.03, p = 0.007) and with adjustment for BMI (b = 0.03, p = 0.013), as well as a significant mediating effect via L/A ratio both without (b = 0.03, p < 0.001) and with adjustment for BMI (b = 0.01, p = 0.041). Use of olanzapine (b = 0.03, p < 0.001) or aripiprazole (b = 0.04, p < 0.001) in monotherapy showed significant effects on HOMA-IR mediated via L/A ratio.

CONCLUSIONS

The study suggests that use of antipsychotics may alter adipokine levels, and that increased L/A ratio may play a role in the development of insulin resistance associated with use of antipsychotics also independently of BMI.