Effect of interventions for major depressive disorder and significant depressive symptoms in patients with diabetes mellitus: a systematic review and meta-analysis

Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial

Background

Mental health problems are prevalent among people with diabetes, yet often under-diagnosed. Smart sensing, utilizing passively collected digital markers through digital devices, is an innovative diagnostic approach that can support mental health screening and intervention. However, the acceptance of this technology remains unclear. Grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study aimed to investigate (1) the acceptance of smart sensing in a diabetes sample, (2) the determinants of acceptance, and (3) the effectiveness of an acceptance facilitating intervention (AFI).

Methods

A total of N = 132 participants with diabetes were randomized to an intervention group (IG) or a control group (CG). The IG received a video-based AFI on smart sensing and the CG received an educational video on mindfulness. Acceptance and its potential determinants were assessed through an online questionnaire as a single post-measurement. The self-reported behavioral intention, interest in using a smart sensing application and installation of a smart sensing application were assessed as outcomes. The data were analyzed using latent structural equation modeling and t-tests.

Results

The acceptance of smart sensing at baseline was average (M = 12.64, SD = 4.24) with 27.8% showing low, 40.3% moderate, and 31.9% high acceptance. Performance expectancy (γ = 0.64, p < 0.001), social influence (γ = 0.23, p = .032) and trust (γ = 0.27, p = .040) were identified as potential determinants of acceptance, explaining 84% of the variance. SEM model fit was acceptable (RMSEA = 0.073, SRMR = 0.059). The intervention did not significantly impact acceptance (γ = 0.25, 95%-CI: -0.16-0.65, p = .233), interest (OR = 0.76, 95% CI: 0.38-1.52, p = .445) or app installation rates (OR = 1.13, 95% CI: 0.47-2.73, p = .777).

Discussion

The high variance in acceptance supports a need for acceptance facilitating procedures. The analyzed model supported performance expectancy, social influence, and trust as potential determinants of smart sensing acceptance; perceived benefit was the most influential factor towards acceptance. The AFI was not significant. Future research should further explore factors contributing to smart sensing acceptance and address implementation barriers.

Economic Evaluation of a Web Application Implemented in Primary Care for the Treatment of Depression in Patients With Type 2 Diabetes Mellitus: Multicenter Randomized Controlled Trial

BACKGROUND

Depressive disorder and type 2 diabetes mellitus (T2DM) are prevalent in primary care (PC). Pharmacological treatment, despite controversy, is commonly chosen due to resource limitations and difficulties in accessing face-to-face interventions. Depression significantly impacts various aspects of a person's life, affecting adherence to medical prescriptions and glycemic control and leading to future complications and increased health care costs. To address these challenges, information and communication technologies (eg, eHealth) have been introduced, showing promise in improving treatment continuity and accessibility. However, while eHealth programs have demonstrated effectiveness in alleviating depressive symptoms, evidence regarding glycemic control remains inconclusive. This randomized controlled trial aimed to test the efficacy of a low-intensity psychological intervention via a web app for mild-moderate depressive symptoms in individuals with T2DM compared with treatment as usual (TAU) in PC.

OBJECTIVE

This study aimed to analyze the cost-effectiveness and cost-utility of a web-based psychological intervention to treat depressive symptomatology in people with T2DM compared with TAU in a PC setting.

METHODS

A multicenter randomized controlled trial was conducted with 49 patients with T2DM, depressive symptoms of moderate severity, and glycosylated hemoglobin (HbA1c) of 7.47% in PC settings. Patients were randomized to TAU (n=27) or a web-based psychological treatment group (n=22). This web-based treatment consisted of cognitive behavioral therapy, improvement of diabetes self-care behaviors, and mindfulness. Cost-effectiveness analysis for the improvement of depressive symptomatology was conducted based on reductions in 3, 5, or 50 points on the Patient Health Questionnaire-9 (PHQ-9). The efficacy of diabetes control was estimated based on a 0.5% reduction in HbA1c levels. Follow-up was performed at 3 and 6 months. The cost-utility analysis was performed based on quality-adjusted life years.

RESULTS

Efficacy analysis showed that the web-based treatment program was more effective in improving depressive symptoms than TAU but showed only a slight improvement in HbA1c. Incremental cost-effectiveness ratios of 186.76 for a 3-point reduction in PHQ-9 and 206.31 for reductions of 5 and 50 percentage points were obtained. In contrast, the incremental cost-effectiveness ratio for improving HbA1c levels amounted to €1510.90 (€1=US $1.18 in 2018) per participant. The incremental cost-utility ratio resulted in €4119.33 per quality-adjusted life year gained.

CONCLUSIONS

The intervention, using web-based modules incorporating cognitive behavioral therapy tools, diabetes self-care promotion, and mindfulness, effectively reduced depressive symptoms and enhanced glycemic control in patients with T2DM. Notably, it demonstrated clinical efficacy and economic efficiency. This supports the idea that eHealth interventions not only benefit patients clinically but also offer cost-effectiveness for health care systems. The study emphasizes the importance of including specific modules to enhance diabetes self-care behaviors in future web-based psychological interventions, emphasizing personalization and adaptation for this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/S12888-019-2037-3.

Association of type 2 diabetes with family history of diabetes, diabetes biomarkers, mental and physical disorders in a Kenyan setting

This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes mellitus in a Kenyan diabetes clinic. This study was part of a large multicentre study whose protocol and results had been published. It took place at the outpatient diabetes clinic at a County Teaching and Referral Hospital in South East Kenya involving 182 participants. We used a socio-demographic questionnaire, the Hamilton Depression (HAM-D) and PHQ-9 rating scales for depression, the MINI International Neuropsychiatric Interview (MINI; V5 or V6) for DSM-5 diagnoses, the WHO-5 Well-being scale and Problem Areas in Diabetes Scale (PAID). We extracted from the notes all physical conditions. We enquired about similar conditions in 1st and 2nd degree relatives. Descriptive, Chi-square test, Fisher's exact test, one way ANOVA, and Multinomial logistic regression analysis were conducted to test achievements of our specific aims. Of the 182 patients who participated in the study, 45.1% (82/182) reported a family history of diabetes. Conditions significantly (p < 0.05) associated with a degree of family history of diabetes were retinopathy, duration of diabetes (years), hypertension, and depressive disorder. On average 11.5% (21/182) scored severe depression (≥ 10) on PHQ-9 and 85.2% (115/182) scored good well-being (≥ 13 points). All DSM-5 psychiatric conditions were found in the 182 patients in varying prevalence regardless of relations. In addition, amongst the 182 patients, the highest prevalence was poor well-being on the WHO quality of life tool. This was followed by post-traumatic disorders (current), suicidality, and psychotic lifetime on DSM-5. The least prevalent on DSM-5 was eating disorders. Some type 2 diabetes mellitus physical disorders and depression have increased incidence in closely related patients. Overall, for all the patients, the prevalence of all DSM-5 diagnoses varied from 0.5 to 9.9%.

Impact of depression on self-efficacy, illness perceptions and self-management among people with type 2 diabetes: A systematic review of longitudinal studies

BACKGROUND

Treating comorbid depression does not always improve outcomes for people with type 2 diabetes. Evidence is lacking on potential psychological and behavioural intermediaries of the impact of depression on diabetes outcomes.

OBJECTIVE

To synthesise evidence on the impact of comorbid depression on self-efficacy, illness perceptions, and self-management in people with type 2 diabetes.

DATA SOURCES

We searched PubMed, Embase, PsycINFO, and Global Health databases from inception up to 29th March 2023.

STUDY ELIGIBILITY CRITERIA

Only prospective studies (cohort or intervention studies) were included, with no restrictions on language. The outcomes were self-efficacy, illness perceptions, and self-management.

PARTICIPANTS

People with type 2 diabetes in community or health settings.

EXPOSURE

Comorbid depression or depressive symptoms in people with type 2 diabetes.

SYNTHESIS OF RESULTS

A narrative review of heterogeneous studies.

RISK OF BIAS

The risk of bias was assessed using the Effective Public Health Practice Project (EPHPP) quality assessment tool for quantitative studies.

RESULTS

Twenty-five studies were included, all from high-income countries. Depression was associated with lower self-efficacy (2 studies), poor illness perception (1 study), and poor self-management practices (17 studies) in people with type 2 diabetes. In 6/7 studies, depressive symptoms predicted less adherence to dietary recommendations, 8/10 studies found depressive symptoms were associated with poor medication adherence, 1/3 study found that depressive symptoms were associated with poor weight control, 3/4 with less physical exercise, and 2/3 with general self-care practices.

LIMITATIONS

There were no studies from low- and middle-income countries and non-Western settings, and we cannot assume the mechanisms linking comorbid depression with diabetes outcomes are similar.

CONCLUSIONS

Comorbid depression was associated with lower self-efficacy, poorer self-management, and less adaptive illness perceptions among people with diabetes.

The association between antidepressant treatment and rates of insulin initiation in comorbid depression and type 2 diabetes: A UK electronic health record nested case-control study

AIMS

To investigate the association between antidepressant prescribing and the rate of insulin initiation in type 2 diabetes.

METHODS

Using UK primary care records we completed a nested-case control study in a individuals with comorbid depression and type 2 diabetes. Cases were defined as individuals initiating insulin, controls were individuals remaining on oral antidiabetic medication. We used conditional logistic regression to estimate incident rate ratios (IRR) and the 95% confidence intervals (CI) for the association between antidepressant prescribing and initiating insulin. We adjusted for demographic characteristics, comorbidities, health service and previous medication use.

RESULTS

We included 11,862 cases who initiated insulin, and 43,452 controls. Increased rates of insulin initiation were associated with any antidepressant prescription (IRR 3.78, 95% CI 3.53-4.04), longer (24+ months) durations of antidepressant treatment (IRR 5.61, 95% CI 5.23-6.03), and higher numbers (3+) of different antidepressant agents prescribed (IRR 5.72, 95% CI 5.25-6.24). There was no difference between recent and non-recent antidepressant prescriptions, or between different antidepressant agents.

CONCLUSIONS

Antidepressant prescribing was highly associated with the initiation of insulin therapy. However, this may not indicate a direct causal effect of the antidepressant medication itself, and may be a marker of more severe depression influencing diabetic control.

Association between antidepressants and the risk of diabetic foot ulcers and amputation in antidepressant-naïve type 2 diabetes mellitus patients: A nested case-control study

AIMS

Antidepressants are widely used by individuals with type 2 diabetes mellitus (T2DM). This study aimed to explore the correlation between antidepressant use, considering specific antidepressant subclasses or cumulative doses, and diabetic foot ulcer (DFU) risk.

METHODS

This nested case-control study was conducted using a representative population-based Korean cohort database from 2002 to 2019. Participants with DFUs were matched with participants without DFUs based on age, sex, date of T2DM diagnosis, and follow-up duration. In total, 791 DFUs and 3900 controls were included. The association between antidepressant use or cumulative dose of each antidepressant subclass, DFU risk and amputation risk was examined using a conditional logistic regression model.

RESULTS

Antidepressant ever-use was associated with an increased incidence of DFUs compared with non-use. Furthermore, an increase in DFU risk was evident with increasing cumulative antidepressant dosage, particularly among tricyclic antidepressant (TCA) ever-users and selective serotonin reuptake inhibitors (SSRIs) ever-users. Additionally, antidepressant ever-users displayed a higher risk of DFUs requiring amputation, which was consistently observed when the cumulative dosages of overall antidepressants and TCAs were considered.

CONCLUSION

Caution is advised when administering TCAs and SSRIs in antidepressant-naïve T2DM patients to reduce DFU and the consequent amputation risk.

Initial evaluation of the Optimal Health Program for people with diabetes: 12-month outcomes of a randomised controlled trial

OBJECTIVE

This study aimed to evaluate if a new Mental health IN DiabeteS Optimal Health Program (MINDS OHP) compared with usual care in adults with Type 1 and Type 2 diabetes would improve psychosocial outcomes including self-efficacy and quality of life.Design and Main Outcome Measures This initial randomised controlled trial evaluated MINDS OHP compared with usual care. Participants were recruited through outpatient clinics and community organisations. The intervention group received nine sessions with assessments over twelve months. Primary outcomes were self-efficacy and quality of life. Secondary outcomes included diabetes distress and anxiety.

RESULTS

There were 51 participants in the control group (mean age = 52) and 55 in the intervention group (mean age = 55). There were significant main effects of time in general self-efficacy, diabetes distress, diabetes self-efficacy, and illness perceptions, however no significant between-group differences in primary or secondary outcomes. Post-hoc analyses revealed MINDS OHP improved diabetes self-efficacy for participants with mild to severe depression and anxiety, with a small effect.

CONCLUSION

Initial evaluation found MINDS OHP was associated with improved diabetes self-efficacy for adults with diabetes, for people with mild to severe levels of distress, with small effect. Further research is required to explore whether this disease-specific, collaborative care-focused intervention benefits the mental health of people with diabetes.

Relationships between Physical Activity Frequency and Self-Perceived Health, Self-Reported Depression, and Depressive Symptoms in Spanish Older Adults with Diabetes: A Cross-Sectional Study

Diabetes is one of the most prevalent noncommunicable diseases in the world. This disease can affect both physical and mental health in the population. This study analyzed the prevalence of Self-Perceived Health (SPH), self-reported depression, and depressive symptoms in comparison with the Physical Activity Frequency (PAF) reported by Spanish older adults with diabetes. A cross-sectional study was carried out with data from 2799 self-reported diabetic participants, all of whom were residents of Spain, aged 50-79 years, and included in the European Health Surveys carried out in Spain (EHIS) both in 2014 and 2020. The relationships between the variables were analysed with a chi-squared test. A z-test for independent proportions was performed to analyze differences in proportions between the sexes. A multiple binary logistic regression was carried out on the prevalence of depression. Linear regressions were performed on depressive symptoms and SPH. Dependent relationships were found between the SPH, self-reported depression, and depressive symptoms with PAF. Most of the very active participants reported a higher prevalence of self-reported depression. Physical inactivity increased the risk of depression, major depressive symptoms, and negative SPH.

Polypharmacy and antidepressant acceptability in comorbid depression and type 2 diabetes: a cohort study using UK primary care data

Background

Polypharmacy may increase the risk of drug interactions, side effects, and poor adherence; however, the impact of polypharmacy on antidepressant acceptability in individuals with type 2 diabetes (T2DM) is unknown.

Aim

To investigate the association between number of prescribed medications and early antidepressant discontinuation in adults with T2DM.

Design and setting

Cohort study using UK primary care data from the Clinical Practice Research Datalink between 1 January 2000 and 31 December 2018.

Method

Cox regression with penalised B-splines was used to describe the association between the number of concurrently prescribed medications at the time of starting antidepressant treatment and each of the outcomes.

Results

A total of 73 808 individuals with comorbid depression and T2DM starting antidepressant treatment for the first time were identified. A median of 7 concurrent medications were prescribed. Within 32 weeks, 44.26% (n= 32 665) of participants discontinued antidepressant treatment altogether, and 11.75% (n= 8672) of participants switched antidepressant agents. An inverse relationship between the number of concurrent medications and discontinuing antidepressant treatment altogether was found. The median of 7 concurrent medications was associated with a 65.06% decrease in early antidepressant discontinuation; hazard ratio 0.45, 95% confidence interval = 0.37 to 0.55. No evidence of an association between the number of concurrent medications and switching antidepressant agents was found.

Conclusion

Early discontinuation of antidepressants is common in adults with T2DM; however, individuals with higher levels of concurrent polypharmacy may be more adherent to treatment. These are likely to represent individuals with worse physical or mental health. Individuals with lower levels of concurrent polypharmacy may benefit from adherence support.

Effects of Electroconvulsive Therapy on Glycemic Control in Type 1 Diabetes

Electroconvulsive therapy (ECT) is a treatment modality for refractory depression and other severe psychiatric diseases. Depression is a common comorbid condition of diabetes. Yet, evidence regarding the effect of ECT on glycemic control in patients with diabetes is limited and conflicting, with reports of both exacerbation and amelioration of hyperglycemia. A 52-year-old Caucasian man with a history of type 1 diabetes mellitus (T1DM) was admitted for ECT therapy in the setting of worsening depression refractory to medical treatment. Pre-admission glycemic control was poor. He had significant glycemic variability during his hospitalization with hyper- and hypoglycemia. He required near-daily adjustment of insulin doses and distinct “ECT day” and “non-ECT day” insulin regimens. By the conclusion of his ECT course, in addition to achieving favorable psychiatric recovery, he had a marked improvement in glycemic control. This suggests that the treatment of depression may have beneficial effects on improving glycemic control in patients with T1DM.

Adult-onset type 1 diabetes: A changing perspective

Type 1 diabetes most commonly presents in adulthood, contrary to the widely held view that it is a disease of childhood. Furthermore, a substantial proportion of cases of adult-onset type 1 diabetes does not require insulin therapy at clinical onset. Recent studies have emphasised the evidence that adult-onset type 1 diabetes is prevalent but often misclassified initially as type 2 diabetes (1, 2). In this review, we discuss that recent literature, highlighting the similarities and differences between adult-onset and childhood-onset type 1 diabetes, exploring recent debates surrounding its epidemiology and genetics, as well as expanding on important issues of diagnostic criteria for individuals presenting with adult-onset diabetes and the subsequent management once identified as having an autoimmune basis. In addition, this review looks at the psychosocial challenges faced by T1D patients and their possible management.

Internet-based Cognitive-behavioral therapy (CBT) for depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study): A randomized controlled trial protocol

Background

Professionals need adequate tools to help patients with diabetes and depression. Although web programs integrating cognitive-behavioral therapy with diabetes education have shown good results, no similar approach has been performed as yet in Spain. The objective is to develop an Internet-based program for the treatment of mild-moderate depressive symptomatology in individuals with type 1 diabetes (WEB_TDDI1 study) based on Cognitive-behavioral therapy (CBT) and assess its results.

Methods

A 2-arm randomized controlled trial will be conducted. Adults with type 1 diabetes and mild-moderate depressive symptoms will be screened to participate in the study and randomly assigned to either the treatment group (TG) that will use a Web-based application for a specific 9-week intervention in depression and type 1 diabetes or the control group (CG) that will be on the waiting list during that time.

Results

Data on the primary variable (depressive symptoms) and secondary variables (treatment-related distress, anxiety, fear of hypoglycemia, quality of life, treatment adherence, coping strategies and glycemic control) will be collected from the TG at the beginning/baseline, at the end of treatment and at 3, 6 and 12 months after treatment. The CG will be assessed at the beginning and at the end of the TG intervention. On completion of the program by the TG, the treatment will then be carried out in the CG.

Conclusions

The new web application developed is expected to be effective for the treatment of mild-moderate depressive symptoms in adults with type 1 diabetes, reducing depressive symptoms and improving the rest of the analyzed variables.

Trial registration

Registry: NCT03473704 (March 21, 2018); ClinicalTrials.gov.

ACTonDiabetes: study protocol of a pragmatic randomised controlled trial for the evaluation of an acceptance and commitment-based internet-based and mobile-based intervention for adults living with type 1 or type 2 diabetes

INTRODUCTION

Living with diabetes can be burdensome and lead to serious emotional distress and impaired mental health. Acceptance and commitment therapy (ACT) can support people facing the challenges of living with diabetes. This trial aims to evaluate the effectiveness and cost-effectiveness of the internet-based and mobile-based intervention (IMI) 'ACTonDiabetes' in reducing diabetes distress against enhanced treatment as usual (TAU+) following specialised diabetes care.

METHODS AND ANALYSIS

A two-armed pragmatic randomised controlled trial will be conducted to evaluate the guided IMI ACTonDiabetes against TAU+. A total of 210 adults with type 1 or type 2 diabetes and elevated diabetes distress (Problem Areas in Diabetes ≥40) will be recruited at a specialised diabetes centre. The intervention begins 2-4 weeks after hospital discharge and takes about 7-10 weeks to complete. Assessments are performed at baseline and 5 and 10 weeks as well as 6 and 12 months after randomisation. The primary outcome is diabetes distress at a 10-week follow-up (T2). Secondary outcomes are depression (Patient Health Questionnaire-8), psychological well-being (WHO-5), quality of life (Assessment of Quality of Life-8 Dimension), Diabetes-related Self-Management Questionnaire, diabetes acceptance (Acceptance and Action Diabetes Questionnaire) and negative treatment effects (Inventory for the Assessment of Negative Effects of Psychotherapy). All statistical analyses will be performed based on the intention-to-treat principle with additional per-protocol analyses. Changes in outcomes will be evaluated using the general linear model. A health-economic evaluation will be conducted from a societal perspective. Reasons for drop-out will be systematically investigated.

ETHICS AND DISSEMINATION

This clinical trial has been approved by the State Medical Chamber of Baden-Württemberg (file no. B-F-2019-010). Trial results will be submitted for publication in a peer-reviewed journal and presented at conferences.

TRIAL REGISTRATION NUMBER

DRKS00016738.

Self-efficacy mediates the associations of diabetes distress and depressive symptoms with type 2 diabetes management and glycemic control

BACKGROUND

Adults with type 2 diabetes (T2D) often experience two common diabetes-related psychological distress: diabetes distress and depressive symptoms. Both are associated with adverse diabetes outcomes including poor self-management and glycemic control. However, diabetes distress and depressive symptoms differ in their associations with diabetes outcomes in T2D patients.

OBJECTIVE

This study proposes a hypothetical model to examine whether self-efficacy mediates the adverse effects of depressive symptoms and/or diabetes distress on self-care behaviors and glycemic control. Additionally, we examined the bi-directional relationships between diabetes distress and depressive symptoms to identify potential underlying mechanisms.

METHODS

This study conducted in 15 rural health clinics in Jiangsu province China. 900 adults with T2D participated in the prospective cohort study. The data Diabetes distress (the 17-item Diabetes Distress Scale, DDS17), depressive symptoms(the 10-item Center for Epidemiologic Studies Depression Scale, CESD-10), self-efficacy, self-care behaviors (diet and physical activity), metabolic variables (fasting plasma glucose, FPG) and demographic characteristics were assessed at baseline. Subsequent 12-month Hemoglobin A1C (HbA1c) were measured after baseline. Hierarchical multiple regression and bootstrap mediation analysis were used to test the effects and pathways among these associations.

RESULTS

Of 843 participants (93.67%) of total cohort with available subsequent 12-month HbA1c levels, mean age was 66.08 years and 66.55% were women, 25.15% of them had depressive symptoms (CES-D ≥ 10), 12.20% had moderate diabetes distress (mean DDS ≥2) and 4.98% had the both two psychological distress. Hierarchical multiple regression showed higher DDS score significantly predicted unhealthy diet(β = -1.10, P < 0.001) but not physical activities, while CESD score was negatively associated with physical activity (β = -0.06, P < 0.001) but not diet. No independent effects of the two psychological distress variables on subsequent 12-month HbA₁c were observed. Mediation analysis supported that elevated self-efficacy solely mediated the negative effect of both diabetes distress and depressive symptoms on diet (DDS score: β = -0.238, 95 BCE% CI [-0.350, -0.141]; CESD score: β = -0.010, 95 BCE% CI [-0.016, -0.005]), physical activities (DDS score: β = -0.446, 95 BCE% CI [-0.630, -0.283]; CESD score: β = -0.019, 95 BCE% CI [-0.030, -0.010]) and subsequent 12-month HbA1c (DDS score: β = 0.105, 95 BCE% CI [0.030,0.189]; CESD score: β = 0.004, 95 BCE% CI [0.001,0.009])_. Additionally, the interplay of diabetes distress and depressive symptoms exerts their effects on diabetes outcomes directly and indirectly via self-efficacy.

CONCLUSIONS

Self-efficacy may contribute to better diabetes outcomes and ameliorate negative effects of diabetes distress and depressive symptoms.

Diabetes Treatment and Mental Illness: A Call for an Integrated Health Care System in Underserved Semi-Rural Malaysia

Diabetes mellitus (DM) management imposes a tremendous psychological burden on patients. The study investigates the association between DM treatment with blood glucose (BG) control and common mental health conditions. A cross-sectional study was conducted among 1821 individuals with DM in a community-based survey conducted in 2013. Information on respondents’ sociodemographic, mental health, DM treatment, and BG levels was collected. Multinomial logistic regression was employed to examine the association of diabetes treatment with controlled BG levels (<11.1 mmol/L) (42.5%, n = 774) or uncontrolled BG levels (34.3%, n = 625) compared with those not undergoing treatment (23.2%, n = 422) on depression anxiety, and stress. Having DM treatment and controlled BG was associated with high depressive symptoms (Relative Risk Ratio, RRR: 2.42; 95% CI 1.33−4.41) and high anxiety symptoms (1.66; 1.08−2.56) but not with perceived stress. However, treated DM with uncontrolled BG was associated with anxiety (high: 1.64; 1.05−2.56; low: 2.59; 1.10−6.09) but not depression or perceived stress. Our results suggest that being treated for DM, regardless of glucose control status, was associated with anxiety symptoms, whereas being treated with controlled BG was associated with high depressive symptoms. This situation highlights the need for integrative, multidisciplinary care for DM patients with mental health comorbidities.

The limited efficacy of psychological interventions for depression in people with Type 1 or Type 2 diabetes: An Individual Participant Data Meta-Analysis (IPD-MA)

BACKGROUND

People with either Type 1/Type 2 diabetes experiencing anxiety or depression experience worse clinical and social outcomes. Efficacy of available psychological and pharmacological treatments for anxiety and depression is unclear. Aggregate data meta-analyses (AD-MAs) have failed to consider the clinical relevance of any change these treatments elicit. Thus, we sought to complete an individual participant data meta-analysis (IPD-MA) to evaluate this.

METHODS

Eligible RCTs of psychological treatments (PTs) and pharmacological treatments (PhTs) were systematically identified and assessed using the Cochrane Risk of Bias Tool-2. IPD was requested and Jacobson's methodology was used to determine the clinical relevance of symptom-change. Traditional effect sizes were calculated to permit comparison of trials providing and not providing IPD and to compare with AD-MAs.

RESULTS

Sufficient data was obtained to conduct an IPD-MA for PTs (12/25) but not PhTs (1/5). Across PT trials, rates of 'recovery' for depression post-intervention were low. Whilst significantly more treated patients did recover (17% [95% CI 0.10, 0.25]) than controls (9% [95% CI 0.03, 0.17]), the difference was small (6% [95% CI 0.02, 0.10]).

LIMITATIONS

Only 50% of eligible trials provided IPD; we were also only able to examine outcomes immediately following the end of an intervention.

CONCLUSION

Current psychological interventions offer limited benefit in treating anxiety and depression in people with Type 1 or Type 2 diabetes (83% remain depressed). More efficacious interventions are urgently needed.

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.

A 12-month longitudinal study examining the shared and unique contributions of self-compassion and psychological inflexibility to distress and quality of life in people with Type 2 Diabetes

OBJECTIVES

Self-compassion and psychological flexibility appear to benefit wellbeing and quality of life (QoL) in the general population and in people with long-term conditions like Type 2 Diabetes (T2D). However, both variables share similarities and their unique roles in relation to distress and QoL in people with diabetes over time are not clear.

DESIGN

This was a longitudinal study with online assessments of self-compassion, psychological inflexibility, distress (depression, anxiety, diabetes-distress), and QoL at baseline (T1) and six (T2) and 12 months (T3).

METHODS

In total, 173 UK adults with T2D completed baseline questionnaires; T2 and T3 follow-ups were completed by 82 and 52 participants, respectively. Correlations were conducted to understand the relationships between variables at each time point. Hierarchical regressions were conducted to understand the unique predictive role of baseline self-compassion and psychological inflexibility in relation to distress and QoL at T2 and T3, controlling for age and baseline distress and QoL.

RESULTS

There were large significant negative correlations between self-compassion and psychological inflexibility (r > -0.50), and both had significant large correlations with distress (r > -0.50) but not QoL across time points. Regressions indicated that psychological inflexibility uniquely predicted depression (T2) and anxiety symptoms (T2 and T3) and QoL (T3). Self-compassion did not uniquely predict any of the outcomes.

CONCLUSIONS

Psychological inflexibility may play an important role in distress in T2D, but prospective studies with larger samples are needed to replicate these findings. Given the overlap between psychological inflexibility and self-compassion, treatments targeting either variable may be useful.

Individual and community experiences and the use of language in understanding diabetes and depression in rural Kenya

As the prevalence of long-term conditions continues to rise it becomes increasingly important to identify ways to mitigate their effects, including the psychological impact. In rural Kenya identifying people with diabetes or mental health problems is challenging due to the stigma and negative experiences within community settings.Four broad themes were identified; (1) misconceptions and stigma: the use of language, (2) treatment and medications, (3) community beliefs and alternative treatment pathways, (4) the role of informal and formal care.Our study demonstrated the detrimental effect of the use of stigmatising language and misconceptions surrounding diabetes and depression at both the individual and community levels. Inequalities in health care access were observed and a lack of resources in rural communities was evident. Improvements in support for health care workers at the community level as well as acknowledging the importance of informal care could help improve the psychological and emotional impact of diabetes and depression.

Can the management of depression in type 2 diabetes be democratized?

Both type 2 diabetes and depression are common and are projected to increase. There is increasing evidence for a bidirectional relationship between the two. Diabetes is a risk factor for depression; contrariwise, individuals with depression are at greater risk of developing diabetes. They are a burden for both the individual and the society. Co-existent depression worsens diabetic control because of obesity, insulin resistance and the adverse metabolic effects of anti-diabetes medicines. In addition, compliance to lifestyle measures required for diabetes is also compromised such as following a specific diet, taking proper medications on time, getting metabolic parameters assessed and maintaining a sleep cycle. Depression occurs in many grades; mild depression is more common in diabetes than frank or full-blown depression leading to suicide. Unfortunately, there are not enough trained and accessible mental health professionals such as psychologists or psychiatrists to deal with the increasing burden of depression in diabetes. Therefore, alternate models for management of mild to moderate depression are required. There is evidence that a team-approach by employing health care assistants can lower the risk of cardiac risk factors. INtegrating DEPrEssioN and Diabetes treatmENT study was carried out to determine whether the team-approach using non-health care professionals could be effective in managing mild to moderate depression and to study its effects on metabolic parameters among subjects with type 2 diabetes mellitus. The international study, carried out in four independent centers in India assessed the impact of a trained but not qualified non-psychiatrist in coordinating and forming a fulcrum between the patient, the family and the consultant endocrinologist/diabetologist. The interventions were fine-tuned to be culturally appropriate by qualitative interviews before they began. It was shown that the outcomes of both depression and diabetes could be improved by the employment of a clinical care coordinator. It is possible to scale up the studies to wider geographical areas and health-care organizations.

A Within-Subject Before-After Study of the Impact of Antidepressants on Hemoglobin A1c and Low-Density Lipoprotein Levels in Type 2 Diabetes

PURPOSE/BACKGROUND

Data on the effect of treatment with antidepressant drugs on metabolic control in diabetes are sparse. In this controlled within-subject before-after study, the impact of initiation and discontinuation of antidepressant treatment on hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) levels in type 2 diabetes was estimated.

METHODS/PROCEDURES

All individuals with newly developed type 2 diabetes (first HbA1c ≥ 6.5%) between 2000 and 2016 in Northern and Central Denmark were identified using register-based health care data. Among these, we identified individuals initiating and discontinuing antidepressant treatment. Using a within-subject before-after design, we examined HbA1c and LDL in the 16 months leading up to and the 16 months after antidepressant treatment initiation or discontinuation, respectively. For comparison, we ran similar time trend analyses in a reference population of age- and sex-matched type 2 diabetes individuals not receiving antidepressant treatment.

FINDINGS/RESULTS

Mean HbA1c decreased after initiation of antidepressant treatment (-0.16%; 95% confidence interval [CI], -0.18 to -0.13%). In the reference population, no material change in HbA1c over time (-0.03%; 95% CI, -0.04 to -0.01%) was seen. Mean LDL decreased not only in antidepressant initiators (-0.17 mmol/L; 95% CI, -0.19 to -0.15 mmol/L) but also in the reference population (-0.15 mmol/L; 95% CI, -0.16 to -0.13 mmol/L). Among antidepressant discontinuers, there was also a decrease in HbA1c (-0.32%; 95% CI, -0.37 to -0.28%), with no change in the reference population (-0.02%; 95% CI, -0.04 to 0.00%). Decreases in LDL were found both in antidepressant discontinuers (-0.09 mmol/L; 95% CI, -0.14 to -0.04 mmol/L) and in the reference population (-0.16 mmol/L0; 95% CI, -0.18 to -0.13 mmol/L).

IMPLICATIONS/CONCLUSIONS

Antidepressant treatment in type 2 diabetes may have a beneficial effect on glycemic control, as the decrease in HbA1c after discontinuation of antidepressants likely reflects remission of depression. Conversely, antidepressant treatment does not seem to affect LDL levels.

Effectiveness of eHealth-Based Psychological Interventions for Depression Treatment in Patients With Type 1 or Type 2 Diabetes Mellitus: A Systematic Review

BACKGROUND

Comorbidity between diabetes mellitus and depression is highly prevalent. The risk of depression in a person with diabetes is approximately twice that of a person without this disease. Depression has a major impact on patient well-being and control of diabetes. However, despite the availability of effective and specific therapeutic interventions for the treatment of depression in people with diabetes, 50% of patients do not receive psychological treatment due to insufficient and difficult accessibility to psychological therapies in health systems. The use of information and communication technologies (ICTs) has therefore been proposed as a useful tool for the delivery of psychological interventions, but it continues to be a field in which scientific evidence is recent and controversial. This systematic review aims to update the available information on the efficacy of psychological interventions delivered through ICTs to improve depressive symptomatology in patients with diabetes.

METHODS

A systematic review of the literature was performed following the PRISMA guidelines and using MEDLINE, Embase, PubMed, Web of Science, PsycINFO, Scopus, and Cochrane Library databases to search for randomized clinical trials of eHealth treatments for patients with diabetes and comorbid depression from 1995 through 2020. In addition, studies related to follow-up appointments were identified. Inclusion criteria were as follows: (a) randomized clinical trials (RCTs); (b) patients with type 1 and type 2 diabetes; (c) adult population over 18 years of age; (d) presence of depressive symptomatology assessed with standardized instruments; (e) treatments for depression based on established psychotherapeutic techniques and principles; (f) delivered through eHealth technologies. We did not limit severity of depressive symptomatology, delivery setting or comparison group (treatment as usual or other treatment). Two coauthors independently reviewed the publications identified for inclusion and extracted data from the included studies. A third reviewer was involved to discuss discrepancies found. The PEDro scale was used to assess the quality of the RCTs. No meta-analysis of the results was performed. The protocol used for this review is available in PROSPERO (Reg; CRD42020180405).

RESULTS

The initial search identified 427 relevant scientific publications. After removing duplicates and ineligible citations, a total of 201 articles were analyzed in full text. Ten articles met the criteria of this review and were included, obtaining very good scientific quality after evaluation with the PEDro scale. The main results show that the eHealth psychological intervention for depression in patients with diabetes showed beneficial effects both at the end of treatment and in the short (3 months) and long term (6 and 12 months) for the improvement of depressive symptomatology. The methodology used (type of diabetes, eHealth technology used, recruitment context, implementation and follow-up) was very heterogeneous. However, all studies were based on cognitive-behavioral tools and used standardized assessment instruments to evaluate depressive symptomatology or diagnosis of MDD. Glycemic control was assessed by glycosylated hemoglobin, but no benefits were found in improving glycemic control. Only four studies included psychoeducational content on diabetes and depression, but none used tools to improve or enhance adherence to medical prescriptions or diabetes self-care.

CONCLUSIONS

ICT-based psychological interventions for the treatment of depression in people with diabetes appear to be effective in reducing depressive symptomatology but do not appear to provide significant results with regard to glycemic control. Nonetheless, the scientific evidence reported to date is still very limited and the methodology very diverse. In addition, no studies have implemented these systems in routine clinical practice, and no studies are available on the economic analysis of these interventions. Future research should focus on studying and including new tools to ensure improvements in diabetes outcomes and not only on psychological well-being in order to advance knowledge about these treatments. Economic evaluations should also be undertaken to analyze whether these treatment programs implemented using eHealth technologies are cost-effective.

Effectiveness of non-specialist delivered psychological interventions on glycemic control and mental health problems in individuals with type 2 diabetes: a systematic review and meta-analysis

Background

Typically, specialist mental health professionals deliver psychological interventions for individuals with poorly controlled type 2 diabetes mellitus (T2DM) and related mental health problems. However, such interventions are not generalizable to low- and middle-income countries, due to the dearth of trained mental health professionals. Individuals with little or no experience in the field of mental health (referred to as non-specialists) may have an important role to play in bridging this treatment gap.

Aim

To synthesise evidence for the effectiveness of non-specialist delivered psychological interventions on glycaemic control and mental health problems in people with T2DM.

Methods

Eight databases and reference lists of previous reviews were systematically searched for randomized controlled trials (RCTs). Outcome measures were glycated hemoglobin (HbA1c), diabetes distress and depression. The Cochrane Collaboration Risk of Bias Tool was used for risk of bias assessment. Data from the included studies were synthesized using narrative synthesis and random effects meta-analysis.

Results

16 RCTs were eligible for inclusion in the systematic review. The 11 studies that were pooled in the meta-analysis demonstrated a reduction in HbA1c in favor of non-specialist delivered psychological interventions when compared with control groups (pooled mean difference = − 0.13; 95% CI − 0.22 to − 0.04, p = 0.005) with high heterogeneity across studies (I² = 71%, p = 0.0002). The beneficial effects of the interventions on diabetes distress and depression were not consistent across the different trials.

Conclusion

Non-specialist delivered psychological interventions may be effective in improving HbA1c. These interventions have some promising benefits on diabetes distress and depression, although the findings are inconclusive. More studies of non-specialist delivered psychological interventions are needed in low- and middle-income countries to provide more evidence of the potential effectiveness of these interventions for individuals living with T2DM.

Depressive symptoms improve over 2 years of type 2 diabetes treatment via a digital continuous remote care intervention focused on carbohydrate restriction

Depressive symptoms are prevalent among people with type 2 diabetes (T2D) and, even at low severity levels, are associated with worse diabetes outcomes. Carbohydrate restriction is an effective treatment for T2D but its long-term impacts on depressive symptoms are unclear. In the current study we explored changes in depressive symptoms over 2 years among 262 primarily non-depressed T2D patients participating in a continuous remote care intervention emphasizing carbohydrate restriction. Subclinical depressive symptoms decreased over the first 10 weeks and reductions were maintained out to 2 years. Increased frequency of blood ketone levels indicative of adherence to low carbohydrate eating predicted decreases in depressive symptoms. Concerns have been raised with recommending restrictive diets due to potential negative impacts on quality-of-life factors such as mood; however, results of the current study support positive rather than negative long-term impacts of closely monitored carbohydrate restriction on depressive symptoms.

Prevalence and Determinant Factors of Diabetes Distress in Community-Dwelling Elderly in Qom, Iran

Background:

Diabetes distress (DD) is common among the patients with type 2 diabetes (T2D), but few studies investigated this problem and its related factors in the elderly population. This study has focused on the prevalence rate of DD and its determinants in community-dwelling elderly in Qom, Iran.

Methods:

This study was cross-sectional. A total of 519 subjects community-dwelling with T2D participated in the study. Collected data contained sociodemographic information, some clinical variables (body mass index and duration of diabetes) knowledge, attitude, and self-efficacy. Participants' distress was measured via diabetes distress scale (DDS). The cut of 3 (≥3) was considered as the presence of distress. Also, the attitude, self-efficacy, and knowledge about diabetes were measured by questioner. Multiple logistic regression analysis was applied to detect predictors of DD.

Results:

The mean age of the participants was 68.38 ± 6.78 and 53.6% were female. Among the participants, 48.6% were identified with positive DD. According to the results of logistic regression analysis, being female (odds ration [OR] = 1.688, P = 0.009), being widowed or divorced (OR = 1.629, P = 0.027), being over-weight or obese (OR = 1.627, P = 0.027), and having less than 10 years in disease duration (OR = 1.721, P = 0.029), attitude (OR = 0.590, P < 0.001), and self-efficacy (OR = 0.658, P = 0.009) were identified as the independent predictors of DD. No significant association was found between DD and age, occupational status, education level, and knowledge (P > 0.05).

Conclusions:

The prevalence of DD is considerable among the elderly in Qom. It seems that more attention should be paid to the mental aspects of the patients with T2D specially in high risk groups.

The management of type 1 diabetes in adults. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycaemia, behavioural considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that healthcare professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors. Graphical abstract.

The Management of Type 1 Diabetes in Adults. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) convened a writing group to develop a consensus statement on the management of type 1 diabetes in adults. The writing group has considered the rapid development of new treatments and technologies and addressed the following topics: diagnosis, aims of management, schedule of care, diabetes self-management education and support, glucose monitoring, insulin therapy, hypoglycemia, behavioral considerations, psychosocial care, diabetic ketoacidosis, pancreas and islet transplantation, adjunctive therapies, special populations, inpatient management, and future perspectives. Although we discuss the schedule for follow-up examinations and testing, we have not included the evaluation and treatment of the chronic microvascular and macrovascular complications of diabetes as these are well-reviewed and discussed elsewhere. The writing group was aware of both national and international guidance on type 1 diabetes and did not seek to replicate this but rather aimed to highlight the major areas that health care professionals should consider when managing adults with type 1 diabetes. Though evidence-based where possible, the recommendations in the report represent the consensus opinion of the authors.

Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review

BACKGROUND

For people with diabetes mellitus to achieve optimal glycaemic control, motivation to perform self-management is important. The research team wanted to determine whether or not psychological interventions are clinically effective and cost-effective in increasing self-management and improving glycaemic control.

OBJECTIVES

The first objective was to determine the clinical effectiveness of psychological interventions for people with type 1 diabetes mellitus and people with type 2 diabetes mellitus so that they have improved (1) glycated haemoglobin levels, (2) diabetes self-management and (3) quality of life, and fewer depressive symptoms. The second objective was to determine the cost-effectiveness of psychological interventions.

DATA SOURCES

The following databases were accessed (searches took place between 2003 and 2016): MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, PsycINFO, EMBASE, Cochrane Controlled Trials Register, Web of Science, and Dissertation Abstracts International. Diabetes conference abstracts, reference lists of included studies and Clinicaltrials.gov trial registry were also searched.

REVIEW METHODS

Systematic review, aggregate meta-analysis, network meta-analysis, individual patient data meta-analysis and cost-effectiveness modelling were all used. Risk of bias of randomised and non-randomised controlled trials was assessed using the Cochrane Handbook (Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 2011;343:d5928).

DESIGN

Systematic review, meta-analysis, cost-effectiveness analysis and patient and public consultation were all used.

SETTING

Settings in primary or secondary care were included.

PARTICIPANTS

Adolescents and children with type 1 diabetes mellitus and adults with types 1 and 2 diabetes mellitus were included.

INTERVENTIONS

The interventions used were psychological treatments, including and not restricted to cognitive-behavioural therapy, counselling, family therapy and psychotherapy.

MAIN OUTCOME MEASURES

Glycated haemoglobin levels, self-management behaviours, body mass index, blood pressure levels, depressive symptoms and quality of life were all used as outcome measures.

RESULTS

A total of 96 studies were included in the systematic review (n = 18,659 participants). In random-effects meta-analysis, data on glycated haemoglobin levels were available for seven studies conducted in adults with type 1 diabetes mellitus (n = 851 participants) that demonstrated a pooled mean difference of -0.13 (95% confidence interval -0.33 to 0.07), a non-significant decrease in favour of psychological treatment; 18 studies conducted in adolescents/children with type 1 diabetes mellitus (n = 2583 participants) that demonstrated a pooled mean difference of 0.00 (95% confidence interval -0.18 to 0.18), indicating no change; and 49 studies conducted in adults with type 2 diabetes mellitus (n = 12,009 participants) that demonstrated a pooled mean difference of -0.21 (95% confidence interval -0.31 to -0.10), equivalent to reduction in glycated haemoglobin levels of -0.33% or ≈3.5 mmol/mol. For type 2 diabetes mellitus, there was evidence that psychological interventions improved dietary behaviour and quality of life but not blood pressure, body mass index or depressive symptoms. The results of the network meta-analysis, which considers direct and indirect effects of multiple treatment comparisons, suggest that, for adults with type 1 diabetes mellitus (7 studies; 968 participants), attention control and cognitive-behavioural therapy are clinically effective and cognitive-behavioural therapy is cost-effective. For adults with type 2 diabetes mellitus (49 studies; 12,409 participants), cognitive-behavioural therapy and counselling are effective and cognitive-behavioural therapy is potentially cost-effective. The results of the individual patient data meta-analysis for adolescents/children with type 1 diabetes mellitus (9 studies; 1392 participants) suggest that there were main effects for age and diabetes duration. For adults with type 2 diabetes mellitus (19 studies; 3639 participants), baseline glycated haemoglobin levels moderated treatment outcome.

LIMITATIONS

Aggregate meta-analysis was limited to glycaemic control for type 1 diabetes mellitus. It was not possible to model cost-effectiveness for adolescents/children with type 1 diabetes mellitus and modelling for type 2 diabetes mellitus involved substantial uncertainty. The individual patient data meta-analysis included only 40-50% of studies.

CONCLUSIONS

This review suggests that psychological treatments offer minimal clinical benefit in improving glycated haemoglobin levels for adults with type 2 diabetes mellitus. However, there was no evidence of benefit compared with control interventions in improving glycated haemoglobin levels for people with type 1 diabetes mellitus.

FUTURE WORK

Future work should consider the competency of the interventionists delivering a therapy and psychological approaches that are matched to a person and their life course.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42016033619.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 28. See the NIHR Journals Library website for further project information.

Primary care and mental health: Where do we go from here?

Primary care has been dubbed the “de facto” mental health system of the United States since the 1970s. Since then, various forms of mental health delivery models for primary care have proven effective in improving patient outcomes and satisfaction and reducing costs. Despite increases in collaborative care implementation and reimbursement, prevalence rates of major depression in the United States remain unchanged while anxiety and suicide rates continue to climb. Meanwhile, primary care task forces in countries like the United Kingdom and Canada are recommending against depression screening in primary care altogether, citing lack of trials demonstrating improved outcomes in screened vs unscreened patients when the same treatment is available, high false-positive results, and small treatment effects. In this perspective, a primary care physician and two psychiatrists address the question of why we are not making headway in treating common mental health conditions in primary care. In addition, we propose systemic changes to improve the dissemination of mental health treatment in primary care.

Recognising and treating psychological issues in people with diabetes mellitus

Diabetes mellitus is a long-term condition that can lead to complications such as diabetic ketoacidosis, retinopathy and cardiovascular disease as a result of uncontrolled high blood glucose levels. In addition to these physical health complications, people with diabetes are more likely to experience psychological issues such as guilt, distress and depression compared with the general population. These issues can negatively affect an individual's ability to effectively monitor and self-manage their condition; however, they are often an overlooked aspect of diabetes care. This article explains how nurses can prevent, recognise and treat some of the psychological issues that people with diabetes commonly experience.

Increased Serum Cystatin C Levels Were Associated with Depressive Symptoms in Patients with Type 2 Diabetes

BACKGROUND

Existing studies have reported that patients with diabetes mellitus (DM) have an increased risk of depressive symptoms. We aimed to evaluate the association between serum cystatin C levels and depressive symptoms in DM patients.

METHODS

Serum levels of cystatin C were measured in 254 patients with DM at baseline. Cox proportional hazard analysis was used to evaluate the value of serum cystatin C in predicting depressive symptoms in patients with DM.

RESULTS

Multivariate linear regression analysis showed that serum cystatin C levels were independently associated with Centre for Epidemiological Studies Depression (CES-D) scores after adjusting for age, sex, body mass index (BMI), current smoking status, current drinking, admission systolic and diastolic blood pressure (BP), cardiovascular disease (CVD) history and laboratory measurements in patients with DM at baseline (Sβ= -0.127; 95% CI, - 0.185- - 0.083; P=0.002). The multivariate Cox proportional hazard analysis revealed that serum cystatin C (HR=2.360, 95% CI 1.500-3.891, P-trend <0.001) was an independent prognostic factor for cognitive decline in these patients with DM during the follow-up period.

CONCLUSION

Our results showed that increased serum cystatin C levels were significantly and independently associated with depressive symptoms and had independent predictive value for depressive symptoms in patients with DM. Serum cystatin C might enable early recognition of depressive symptoms among DM patients.

Treatment for comorbid depressive disorder or subthreshold depression in diabetes mellitus: Systematic review and meta-analysis

OBJECTIVE

To provide an estimate of the effect of interventions on comorbid depressive disorder (MDD) or subthreshold depression in type 1 and type 2 diabetes.

METHODS

Systematic review and meta-analysis. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomized controlled trials evaluating the outcome of depression treatments in diabetes and comorbid MDD or subthreshold symptoms published before August 2019 compared to care as usual (CAU), placebo, waiting list (WL), or active comparator treatment as in a comparative effectiveness trial (CET). Primary outcomes were depressive symptom severity and glycemic control. Cohen's d is reported.

RESULTS

Forty-three randomized controlled trials (RCTs) were selected, and 32 RCTs comprising 3,543 patients were included in the meta-analysis. Our meta-analysis showed that, compared to CAU, placebo or WL, all interventions showed a significant effect on combined outcome 0,485 (95% CI 0.360; 0.609). All interventions showed a significant effect on depression. Pharmacological treatment, group therapy, psychotherapy, and collaborative care had a significant effect on glycemic control. High baseline depression score was associated with a greater reduction in HbA1 c and depressive outcome. High baseline HbA1 c was associated with a greater reduction in HbA1 c.

CONCLUSION

All treatments are effective for comorbid depression in type 1 diabetes and type 2 diabetes. Over the last decade, new interventions with large effect sizes have been introduced, such as group-based therapy, online treatment, and exercise. Although all interventions were effective for depression, not all treatments were effective for glycemic control. Effective interventions in comorbid depressive disorder may not be as effective in comorbid subthreshold depression. Baseline depression and HbA1 c scores modify the treatment effect. Based on the findings, we provide guidance for treatment depending on patient profile and desired outcome, and discuss possible avenues for further research.

Prevalence and characteristics of antidepressant prescribing in adults with comorbid depression and type 2 diabetes mellitus: A systematic review and meta-analysis

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Antidepressant gender disparity less in type 2 diabetes than general population

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No evidence of ethnic disparity in antidepressant prescribing in type 2 diabetes

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No evidence of disparity in antidepressant prescribing for insulin users

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Considerable evidence gaps for antidepressant prescribing in type 2 diabetes

Background

Treatment guidelines do not provide specific recommendations for antidepressant prescribing in people with type 2 diabetes mellitus (T2DM). It is important to understand the prevalence of antidepressant prescribing and associated patient characteristics, to recognise safety issues or inequalities related to treatment access.

Methods and Results

Seven databases were searched using terms related to depression, T2DM and antidepressant medication. From 14,389 reports retrieved, 9 met inclusion criteria. The prevalence of antidepressant prescribing varied considerably between studies from 18% to 87%. Where meta-analyses were possible, the pooled odds ratio for receiving an antidepressant were 1.52 (95% confidence intervals (CIs) 1.28 – 1.82) in women compared to men, 0.53 (95% CIs 0.23-1.20%) in Black and Ethnic Minorities compared to White ethnicity and 1.29 (95% CIs 0.92-1.80) in insulin users compared to individuals with non-insulin controlled T2DM.

Conclusions

Antidepressant prescribing is more common in women with T2DM compared to men, however, the difference is less than in the general population. Insulin users, representing individuals with more advanced T2DM, were as likely to be prescribed antidepressants as those who did not use insulin. There is a gap in the literature concerning which antidepressant agents are being prescribed, and alongside which concurrent medications and comorbidities.

Depression and Diabetes Mellitus Multimorbidity Is Associated With Loss of Independence and Dementia Poststroke

Background and Purpose:

Many patients with ischemic stroke present with multiple comorbidities that threaten survival and recovery. This study sought to determine the risks of adverse long-term stroke outcomes associated with multimorbid diabetes mellitus and depression.

Methods:

Retrospective analysis of prospectively collected data on consecutive patients without premorbid dementia admitted from the community for a first-ever acute ischemic stroke to comprehensive stroke centers across Ontario, Canada (2003–2013). Premorbid histories of diabetes mellitus and depression were ascertained within 5 years before stroke admission. Adjusted hazard ratios (aHR [95% CI]) of admission to long-term care, incident dementia, readmission for stroke or transient ischemic attack and all-cause mortality, over time among those discharged back into the community poststroke.

Results:

Among 23 579 stroke admissions, n=20 201 were discharged back into the community. Diabetes mellitus and depression were associated with synergistic hazards of admission to long-term care (X 2 =5.4; P =0.02) over a median follow-up of 5.6 years. This interaction was observed among women specifically; depression multimorbidity showed particularly high hazards of admission to long-term care (aHR Depression =1.57 [1.24–1.98]) and incident dementia (aHR Depression =1.85 [1.40–2.44]) among women with diabetes mellitus. In the whole cohort, diabetes mellitus and depression were associated individually with long-term care admission (aHR Diabetes =1.20 [1.12–1.29]; aHR Depression =1.19 [1.04–1.37]), incident dementia (aHR Diabetes =1.14 [1.06–1.23]; aHR Depression =1.27 [1.08–1.49]), stroke/transient ischemic attack readmission (aHR Diabetes =1.18 [1.10–1.26]; aHR Depression =1.24 [1.07–1.42]), and all-cause mortality (aHR Diabetes =1.29 [1.23–1.36]; aHR Depression =1.16 [1.05–1.29]).

Conclusions:

The risks of dementia and needing long-term care in the years after surviving a stroke were particularly elevated among women when premorbid diabetes mellitus and depression occurred together. Long-term stroke recovery strategies might target high-risk patients with mood and metabolic multimorbidity.

Antidepressant activity of anti-hyperglycemic agents in experimental models: A review

BACKGROUND AND AIMS

Diabetes Mellitus (DM) and depression occur comorbidly and share some pathophysiological mechanisms. The course of depression in patients with the two conditions is severe. Treatment of depression in diabetic patients requires special attention because most of psychopharmacological agents can worsen glycemic control. This article aims to review studies evaluating the antidepressant effect of anti-hyperglycemic agents from preclinical perspective.

METHODS

A literature search was performed with PubMed and Google Scholar using relevant keywords (antidiabetic; diabetes; depression; antidepressant; animals) to extract relevant studies evaluating the antidepressant activity of anti-hyperglycemic agents in experimental models.

RESULTS

Several studies have reported that some traditional anti-hyperglycemic agents reduce depression-like behavior in the absence or presence of diabetes. These drugs include insulin, glyburide, metformin, pioglitazone, vildagliptin, liraglutide, and exenatide. The antidepressant activity of anti-hyperglycemic agents may be mediated by reducing the blood glucose level, ameliorating the central oxidative stress and inflammation, and regulating the hypothalamic-pituitary-adrenal axis (HPAA).

CONCLUSIONS

Drugs which have both antidiabetic and antidepressant activities can provide better treatment strategy for patients with diabetes-associated depression. However, further research studies are still required in human subjects.

Improved Glycemic Control Outcomes Regardless of Mental Health Disorders in a Pharmacist-Endocrinologist Diabetes Intense Medical Management (DIMM) “Tune Up” Clinic

Background: Previous studies show patients with type 2 diabetes (T2D) and a mental health (MH) disorder exhibit poorer glycemic control compared with those without. Objective: Compare mean change in glycosylated hemoglobin (A1C) after 6 months in the Diabetes Intense Medical Management (DIMM) “Tune Up” Clinic in patients with and without MH disorders. Methods: Retrospective cohort study in T2D patients, with A1C at baseline and 6 months, divided into subgroups of those with ≥1 MH diagnoses and without MH. Primary outcome was mean change in A1C from baseline to 6 months. Secondary outcomes were mean change in other metabolic parameters and proportion achieving A1C and related goals. Results: Of 155 patients meeting inclusion criteria, 66 (42.6%) had at least 1 MH disorder (MH group) and 89 (57.4%) did not (non-MH group). Mean A1C, fasting blood glucose (FBG), and triglycerides (TG) change (improvement) did not differ significantly between MH and non-MH groups at 6 months (eg, A1C reduction: −2.1% [SD = 2.0] vs −2.3% [SD = 2.1]; P = 0.61, respectively). Percentage at A1C goal did not differ significantly between groups, though a higher percentage of the non-MH group achieved FBG and TG goals than the MH group. Conclusion and Relevance: In 6 months, both groups in the DIMM clinic achieved a statistically significant mean A1C reduction (over 2%) with no statistical or clinical difference in the magnitude of change between groups. Patients with T2D benefitted from the DIMM model and personalized visits with a pharmacist regardless of having a MH disorder.

Depressive symptoms are not associated with type 2 diabetes in a rural population in China: findings from the Henan rural cohort

BACKGROUND

Depression is one of the most prevalent mental health challenges that affect all groups of persons. This study examines the association between type 2 diabetes and depressive symptoms (using PHQ-2) in a rural population. Other risk factors of depressive symptoms are examined.

METHODS

Data from 30,001 participants from the Henan rural cohort was analyzed. Multivariable logistic regression analyses were performed to examine the associations between depressive symptoms (DS) and type 2 diabetes and other risk factors. Adjusted odds ratios (aOR) with confidence intervals (CI) at 95% are reported.

RESULTS

The prevalence of DS in the study population is 5.86%, 6.69% in women, 4.74% in men, 5.80% in persons without diabetes and 6.81% in persons with diabetes (diagnosed and undiagnosed). DS prevalence was highest in persons with previously diagnosed diabetes (8.27%). No association was found between DS and diabetes (aOR = 0.95, CI at 95% 0.61-1.48; p=0.836). DS was associated with poor glycemic control (aOR=1.43, CI at 95% 1.04- 1.98; p= 0.034) in persons with previously diagnosed diabetes, persons with elevated triglycerides (aOR=1.19, CI at 95% 1.08-1.30; p<0.001), household income (aOR= 0.78, CI at 95% 0.63-0.97; p=0.027), marital status (aOR=1.37, CI at 95% 1.01-1.88, p=0.049) and hypertension treatment with medication (aOR=1.94, CI at 95% 1.48-2.55; p<0.001).

LIMITATIONS

DS was assessed through self-report and may suffer recall or information bias.

CONCLUSIONS

DS was not associated with diabetes in our study population. The association between poor glycemic control and DS calls for the integration of screening for depression among patients with diabetes.

Effect of music intervention on mental health in patients with diabetes mellitus: protocol for a systematic review and meta-analysis of randomizsed controlled trials

INTRODUCTION

About 463 million adults aged 20-79 have diabetes globally. Mental disorders often exist in patients with diabetes as comorbidities, which can lead to aggravation of the diseases, increased difficulties in treatment, as well as elevated mortality rates. Music intervention has been applied in the treatment of comorbidities for 12 years now, but there are still no recommendations due to the lack of evidence. Thus, a meta-analysis is necessary to evaluate the effect of music intervention in treating mental disorders of patients with diabetes.

METHODS AND ANALYSIS

We will search the following nine online electronic databases from their inception until March 2020: PubMed, Web of Science, Embase, EBSCO, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang Database, Chinese Scientific Journal Database (VIP) and Chinese Biomedical and Medical Database. We also plan to search other relevant resources, including grey literature and the reference lists of relevant publications. Only randomised controlled trials of music intervention to treat depression or anxiety in patients with diabetes will be involved. The primary outcomes include the depression score and anxiety score measured on certain scales, and the secondary outcome is safety. Data extraction will be independently implemented by two researchers. The risk of bias will be evaluated through the Cochrane Collaboration's Risk of Bias tool. Eventually, all the data will be analysed via the Review Manager V.5.3 software.

ETHICS AND DISSEMINATION

This meta-analysis will provide information about applying music intervention to treat depression or anxiety in patients with diabetes. No ethical approval is required because this meta-analysis is based on published data. The results of this systematic review will be published in a peer-reviewed journal.PROSPERO registration numberCRD42019146439.

Factors associated with the onset of major depressive disorder in adults with type 2 diabetes living in 12 different countries: results from the INTERPRET-DD prospective study

AIMS

To examine the factors that are associated with changes in depression in people with type 2 diabetes living in 12 different countries.

METHODS

People with type 2 diabetes treated in out-patient settings aged 18-65 years underwent a psychiatric assessment to diagnose major depressive disorder (MDD) at baseline and follow-up. At both time points, participants completed the Patient Health Questionnaire (PHQ-9), the WHO five-item Well-being scale (WHO-5) and the Problem Areas in Diabetes (PAID) scale which measures diabetes-related distress. A composite stress score (CSS) (the occurrence of stressful life events and their reported degree of 'upset') between baseline and follow-up was calculated. Demographic data and medical record information were collected. Separate regression analyses were conducted with MDD and PHQ-9 scores as the dependent variables.

RESULTS

In total, there were 7.4% (120) incident cases of MDD with 81.5% (1317) continuing to remain free of a diagnosis of MDD. Univariate analyses demonstrated that those with MDD were more likely to be female, less likely to be physically active, more likely to have diabetes complications at baseline and have higher CSS. Mean scores for the WHO-5, PAID and PHQ-9 were poorer in those with incident MDD compared with those who had never had a diagnosis of MDD. Regression analyses demonstrated that higher PHQ-9, lower WHO-5 scores and greater CSS were significant predictors of incident MDD. Significant predictors of PHQ-9 were baseline PHQ-9 score, WHO-5, PAID and CSS.

CONCLUSION

This study demonstrates the importance of psychosocial factors in addition to physiological variables in the development of depressive symptoms and incident MDD in people with type 2 diabetes. Stressful life events, depressive symptoms and diabetes-related distress all play a significant role which has implications for practice. A more holistic approach to care, which recognises the interplay of these psychosocial factors, may help to mitigate their impact on diabetes self-management as well as MDD, thus early screening and treatment for symptoms is recommended.

The development and tailoring of a peer support program for patients with diabetes mellitus and depression in a primary health care setting in Central Uganda

BACKGROUND

About 20-40% of patients with diabetes mellitus (DM) suffer from depressive disorders (DD) during the course of their illness. Despite the high burden of DD among patients with DM, it is rarely identified and adequately treated at the majority of primary health care clinics in sub-Saharan Africa (SSA). The use of peer support to deliver components of mental health care have been suggested in resource constrained SSA, even though its acceptability have not been fully examined.

METHODS

We conducted qualitative interviews (QI) to assess the perceptions of DM patients with an experience of suffering from a DD about the acceptability of delivering peer support to patients with comorbid DM and DD. We then trained them to deliver peer support to DM patients who were newly diagnosed with DD. We identified challenges and potential barriers to a successful implementation of peer support, and generated solutions to these barriers.

RESULTS

Participants reported that for one to be a peer, they need to be mature in age, consistently attend the clinics/keep appointments, and not to be suffering from any active physical or co-morbid mental or substance abuse disorder. Participants anticipated that the major barrier to the delivery of peer support would be high attrition rates as a result of the difficulty by DM patients in accessing the health care facility due to financial constraints. A potential solution to this barrier was having peer support sessions coinciding with the return date to hospital. Peers reported that the content of the intervention should mainly be about the fact that DM was a chronic medical condition for which there was need to adhere to lifelong treatment. There was consensus that peer support would be acceptable to the patients.

CONCLUSION

Our study indicates that a peer support program is an acceptable means of delivering adjunct care to support treatment adherence and management, especially in settings where there are severe staff shortages and psycho-education may not be routinely delivered.

Efficacy of Depression Management in an Integrated Psychiatric-Diabetes Education Clinic for Comorbid Depression and Diabetes Mellitus Types 1 and 2

OBJECTIVES

Patients with type 1 and type 2 diabetes mellitus (DM) are 2 times as predisposed to developing mood disorders, such as major depressive disorder (MDD), compared with patients without diabetes. Management of comorbid MDD and DM remains a challenge because patients often suffer from poor medication compliance, lifestyle factors and refractory depression. Integration of psychiatric care into diabetes education clinics (DECs) has been suggested as an effective method of managing the comorbid conditions. As this strategy is being implemented into clinical care, its effectiveness in practice warrants further research.

METHODS

A retrospective chart review of 24 patients (10 men and 14 women) followed by an integrated psychiatry-DEC in Newmarket, Ontario, Canada, between April 2016 and July 2019 was performed. Depressive symptom severity at each appointment was assessed with the Patient Health Questionnaire-9 (PHQ-9) depression rating scale.

RESULTS

There was no significant change in PHQ-9 depression rating scale scoring between the first and most recent appointments (paired t test, p=0.356); however, patients who had improved PHQ-9 scoring were more likely to have more clinic visits (analysis of variance, p=0.0271). A significant negative correlation was found between both number of visits (Pearson coefficient, -0.56; p=0.005) and overall time the patients were followed by DEC (Pearson coefficient, -0.42; p=0.040) and PHQ-9 score changes between the first and most recent appointments. PHQ-9 change between individual appointments also displayed a positive correlation with time between appointments (Pearson coefficient, 0.26; p=0.027).

CONCLUSIONS

Regular follow up in a psychiatry-DEC service might be beneficial in managing MDD symptom severity for comorbid MDD and DM.

How 25 years of psychosocial research has contributed to a better understanding of the links between depression and diabetes

This narrative review of the literature provides a summary and discussion of 25 years of research into the complex links between depression and diabetes. Systematic reviews have shown that depression occurs more frequently in people with type 1 or type 2 diabetes compared with people without diabetes. Currently, it remains unclear whether depression is also more common in people with impaired glucose metabolism or undiagnosed type 2 diabetes compared with people without diabetes. More prospective epidemiological research into the course of depression and an exploration of mechanisms in individuals with diabetes are needed. Depression in diabetes is associated with less optimal self-care behaviours, suboptimal glycaemic control, impaired quality of life, incident micro- and macrovascular diseases, and elevated mortality rates. Randomized controlled trails concluded that depression in diabetes can be treated with antidepressant medication, cognitive-behavioural therapy (individual, group-based or web-based), mindfulness-based cognitive therapy and stepped care. Although big strides forward have been made in the past 25 years, scientific evidence about depression in diabetes remains incomplete. Future studies should investigate mechanisms that link both conditions and test new diabetes-specific web- or app-based interventions for depression in diabetes. It is important to determine whether treatment or prevention of depression prevents future diabetes complications and lowers mortality rates.

#DiabetesPsychologyMatters

Editor's Note: This article was adapted from the address Dr. Snoek delivered as the recipient of the American Diabetes Association's Richard R. Rubin Award for 2019. This award recognizes a behavioral researcher who has made outstanding, innovative contributions to the study and understanding of the behavioral aspects of diabetes in diverse populations. Dr. Snoek delivered the address in June 2019 at the Association's 79th Scientific Sessions in San Francisco, CA.

Effectiveness of psychoeducational interventions for the treatment of diabetes-specific emotional distress and glycaemic control in people with type 2 diabetes: A systematic review and meta-analysis

AIMS

Psychological comorbidity, such as depression and/or diabetes-specific emotional distress (DSD), is highly prevalent in people with type 2 diabetes (T2DM) and associated with poorer treatment outcomes. While treatments for depression are well established, interventions specifically designed for DSD are sparse. The aim of this study was to determine interventions that successfully address DSD and HbA1c in people with T2DM.

METHODS

Seven databases were searched to identify potentially relevant studies. Eligible studies were selected and appraised independently by two reviewers. Multiple meta-analyses and meta-regression analyses were performed to synthesise the data; the primary analyses determined the effect of interventions on DSD, with secondary analyses assessing the effect on HbA1c.

RESULTS

Thirty-two studies (n = 5206) provided sufficient DSD data, of which 23 (n = 3818) reported data for HbA1c. Meta-analyses demonstrated that interventions significantly reduced DSD (p = 0.034) and HbA1c (p = 0.006) compared to controls, although subgroup meta-analyses and meta-regression to explore specific intervention characteristics that might mediate this effect yielded non-significant findings.

CONCLUSIONS

The findings demonstrate that existing interventions successfully reduce DSD and HbA1c in people with T2DM. While promising, deductions should be interpreted tentatively, highlighting a stark need for further focused exploration of how best to treat psychological comorbidity in people with T2DM.

Factors associated with antidepressant use among low-income racially and ethnically diverse patients with type 2 diabetes

OBJECTIVE

Depression is common in patients with type 2 diabetes and associated with poor diabetes-related outcomes. We evaluated the factors associated with antidepressant use in a low-income, racially and ethnically diverse sample of patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

We performed a cross-sectional study of baseline data from participants in a cluster randomized trial evaluating a health literacy intervention for diabetes care in safety net clinics. Depressive symptoms were measured by the Center for Epidemiological Studies Depression Scale (CES-D); antidepressant use was abstracted from medication lists. Multivariable mixed effects logistic regression was used to evaluate the relationship between antidepressant use and race/ethnicity adjusting for depressive symptoms, age, gender, income, and health literacy.

RESULTS

Of 403 participants, 58% were non-Hispanic White, 18% were non-Hispanic Black, and 24% were Hispanic. Median age was 51 years old; 60% were female, 52% of participants had a positive screen for depression, and 18% were on antidepressants. Black and Hispanic participants were significantly less likely to be on an antidepressant compared with white participants, adjusted odds ratios 0.31(95% CI: 0.12 to 0.80) and 0.26 (95% CI: 0.10 to 0.74), respectively.

CONCLUSIONS

In this vulnerable population with type 2 diabetes, we found a high prevalence of depressive symptoms, and a small proportion of participants were on an antidepressant. Black and Hispanic participants were significantly less likely to be treated with an antidepressant. Our findings suggest depression may be inadequately treated in low-income, uninsured patients with type 2 diabetes, especially racial and ethnic minorities.