The Importance of Addressing Depression and Diabetes Distress in Adults with Type 2 Diabetes

Depression prevalence, screening, and treatment in adult outpatients with type 1 and type 2 diabetes: A nationally representative cross-sectional study (National Ambulatory Medical Care Survey 2014-2019)

BACKGROUND

Studies have shown that the presence of diabetes or depression may increase the risk for developing the other. The primary objective of this study is to describe the current prevalence of comorbid depression and the rate of screening and treatment for comorbid depression in US adult outpatients with diabetes compared to those without diabetes.

METHODS

We analyzed data from the 2014-2019 National Ambulatory Medical Care Survey. Descriptive statistics, univariate analyses, and multivariable regression models were developed with weighting factors applied.

RESULTS

Depression prevalence is higher in those with diabetes than without diabetes. Females with diabetes have higher rates of depression (15.4%) compared to females without diabetes (13.7%) or males with diabetes (9.1%). Screening rates for depression are extremely low (<6%) in patients with diabetes and without diabetes. Patients with diabetes and depression are less likely to be screened than those with depression alone.

LIMITATIONS

The cross-sectional design of the study cannot establish causality and has inherent limitations in capturing temporal relationships. The reliance on ICD codes limits the scope of diagnosis and underestimates rates of comorbidity if depression is not formally diagnosed. The NAMCS cohort only includes ambulatory visits to office-based physicians, so depression diagnoses and screening rates among patients who visit other health care settings or are not seeing physicians would be underestimated.

CONCLUSIONS

Depression is prevalent in people with diabetes. Screening rates are unacceptably low, indicating a gap in recommended care and underreporting of depression. More routine screening and treatment are necessary to align with guideline-recommended care.

Dulce Digital-Me: results of a randomized comparative trial of static versus adaptive digital interventions for Latine adults with diabetes

OBJECTIVE

To compare the effectiveness of a static, text-based diabetes education and support intervention (Dulce Digital, DD) versus a dynamic approach with personalized feedback and goal setting (Dulce Digital-Me, DD-Me) in improving diabetes outcomes.

DESIGN AND METHODS

Comparative effectiveness trial in 310 Latine adults with poorly managed type 2 diabetes in a Federally Qualified Health Center in Southern California, randomized to DD, DD-Me-Auto (algorithm-driven text-based personalized feedback), or DD-Me-Tel (coach delivered personalized feedback). Changes in HbA1c (primary outcome), low-density lipoprotein-cholesterol, systolic blood pressure, and patient-reported outcomes were examined across 6 and 12 months, with the primary comparison being DD versus DD-Me (combined automated and telephonic).

RESULTS

Participants were 52.1 (±10.2) years old, 69.7% female, with HbA1c 9.3% (±1.6) at baseline. Across groups, there was a statistically significant improvement in HbA1c at 6 months (mean∆ per month = -0.17, 95% CI -0.20, -0.14; P < .001) and 12 months (mean∆ per month = -0.07, 95% CI -0.09, -0.05; P < .001). However, there were no time-by-group interaction effects indicating group differences in clinical outcomes across 6 or 12 months. The DD-Me groups showed greater improvements across time than the DD group for diabetes self-management behaviors.

CONCLUSIONS

Static and adaptive digital interventions for Latine adults with type 2 diabetes had similar and clinically significant effects on HbA1c across 12 months. Simple digital approaches can be integrated within primary care-based chronic care models to reduce diabetes disparities.

CLINICALTRIALS.GOV REGISTRATION

NCT03130699, Initial Release 04/24/2017, https://clinicaltrials.gov/ct2/show/NCT03130699?term=NCT03130699&draw=2&rank=1.

Mind in Metabolism - A Comprehensive Literature Review on Diabetes and its Connections to Obsessive Compulsive Disorder, Schizophrenia, and Bipolar Disorder

PURPOSE OF REVIEW

The co-occurrence of diabetes and mental illnesses such as bipolar disorder (BD), obsessive-compulsive disorder (OCD), and schizophrenia creates significant barriers for both people with diabetes (PWD) and their healthcare teams. This literature review provides an analysis of the relationship between diabetes and mental illnesses through exploring epidemiology, shared risk factors, and clinical implications. The aim is to enhance the understanding of these complex comorbidities to guide and improve future research and clinical practice.

RECENT FINDINGS

Recent research suggests a strong link between mental illness, metabolic syndrome, and diabetes. Studies show that BD has a robust relationship with metabolic disease and the antipsychotic medications used in treatment for many mental illnesses are strongly associated with weight gain and metabolic disease. However, there is limited research exploring the bidirectional relationship that diabetes has with BD, schizophrenia, and OCD. While research exists on the link between diabetes and mental conditions such as depression and anxiety, little research has examined schizophrenia, OCD and BD. The findings noted in this review suggest gaps in treatment options, healthcare services, and social support. While this paper provides a foundation for future progress, advancement in this field will require a collaborative effort from researchers, healthcare professionals, and community outreach programs to effectively close the gaps in care noted in these patient populations.

Glycemic Control With Layperson-Delivered Telephone Calls vs Usual Care for Patients With Diabetes: A Randomized Clinical Trial

Importance

Diabetes is associated with emotional distress and poor mental health, especially for individuals with low income, hindering patients' ability to manage their condition. The health care system's workforce constraints limit its capacity to holistically support patients.

Objective

To assess the effectiveness of layperson-delivered empathetic engagement over the telephone in helping improve glycemic management for patients with diabetes.

Design, Setting, and Participants

This parallel-arm randomized clinical trial with blinded outcome assessment was conducted from February 12, 2022, to April 15, 2023, with final measurements on November 18, 2023, among 260 patients with uncontrolled diabetes from a federally qualified health center in Austin, Texas, engaging telephonically from home.

Intervention

Patients assigned to the intervention group received empathy-oriented telephone calls by community-hired laypeople for 6 months, while those assigned to the control group received usual care. Patients were stratified by baseline score (≥5 vs <5) on the depressive symptom scale of the 9-item Patient Health Questionnaire (PHQ-9).

Main Outcomes and Measures

The primary outcome was hemoglobin A1c level at baseline, 3 months, and 6 months, assessed for interaction between time and trial arm. Secondary outcomes were self-perceptions of managing diabetes, diabetes-related behaviors and distress, and mental health symptoms (measured via surveys). Analysis was performed on an intention-to-treat basis.

Results

Of 260 participants (mean [SD] age, 49.5 [10.1] years; 163 of 259 women [62.9%]; 176 of 203 [86.7%] with annual income <$40 000) enrolled, 6 withdrew. At 6 months, 204 of 254 (80.3%; intervention, 109 of 127 [85.8%] and control, 95 of 127 [74.8%]) returned for measurements. Participants in the intervention group had statistically significant mean (SD) decreases in hemoglobin A1c level at 6 months (from 10.0% [1.9%] to 9.3% [2.0%]) compared with those in the control group (from 9.8% [1.6%] to 9.7% [2.3%]) (P = .004). The within-person change in hemoglobin A1c level was -0.7% (95% CI, -1.0% to -0.4%) for the intervention group and 0.02% (95% CI, -0.4% to 0.4%) for the control group. For the subgroup with a PHQ-9 score of 5 or more at baseline (38.1% [99 of 260]), the within-person change in hemoglobin A1c was -1.1% (95% CI, -1.8% to -0.5%) for the intervention group and 0.1% (95% CI, -0.7% to 0.8%; P = .004) for the control group. For the subgroup with a PHQ-9 score less than 5, the within-person change in hemoglobin A1c was -0.4% (95% CI, -0.8% to -0.1%) for the intervention group and -0.02% (95% CI, -0.5% to 0.5%; P = .21) for the control group. At 6 months, 91.7% of the participants (99 of 108) responded that the program was very or extremely beneficial.

Conclusions and Relevance

In this randomized clinical trial of telephone-based layperson-delivered empathetic engagement, patients with diabetes and low income achieved clinically meaningful improvements in glycemic control. With workforce constraints, layperson-delivered programs for diabetes show promise.

Trial Registration

ClinicalTrials.gov Identifier: NCT05173675.

Psychosocial well-being and diabetes distress in the transition to motherhood among women with type 1 or type 2 diabetes

OBJECTIVE

To investigate the associations between psychological well-being, measured with the Postnatal Well-being in Transition (PostTrans) Questionnaire, and diabetes distress among mothers with type 1 or type 2 diabetes.

METHOD

Eighty-two postnatal women completed a cross-sectional survey. The survey included the Diabetes Distress Scale, and the PostTrans Questionnaire to assess the psychosocial well-being of women transitioning to motherhood. Linear and logistic regressions were used to assess associations.

RESULTS

Using the Diabetes Distress Scale (cut-off score ≥ 2), the overall prevalence of diabetes distress was 64 %. Psychosocial well-being was negatively associated with diabetes distress (B=─1.65; 95 % CI, ─2.02, ─1.29; P < 0.001), and more strongly with regimen-related distress (B= ─1.90; 95 % CI, ─2.44, ─1.35; P < 0.001). Four sub-scales of the PostTrans Questionnaire (coping with diabetes and managing an infant, anxiety and guilt about diabetes, sensitivity to opinions, healthcare professional support and information) were negatively associated with diabetes distress score (B between ─0.42 and ─0.68), while receiving family support and prioritising self-care did not show a statistically significant association with diabetes distress.

CONCLUSION

Psychological factors unique to postnatal women and a lack of healthcare professional support are significantly associated with diabetes distress. However, it is unclear whether lack of family support and self-care behaviours could contribute to increased diabetes distress. Interventions that target psychological factors and that involve healthcare professionals, may optimise diabetes self-management and infant care.

Diabetes distress in Veterans with type 2 diabetes mellitus: Qualitative descriptive study

Diabetes distress (DD) is a negative psychosocial response to living with type 2 diabetes mellitus (T2DM). We sought insight into Veterans' experiences with DD in the context of T2DM self-management. The four domains in the Diabetes Distress Scale (i.e. regimen, emotional, interpersonal, healthcare provider) informed the interview guide and analysis (structural coding using thematic analysis). The mean age of the cohort (n = 36) was 59.1 years (SD 10.4); 8.3% of patients were female and 63.9% were Black or Mixed Race; mean A1C was 8.8% (SD 2.0); and mean DDS score was 2.4 (SD 1.1), indicating moderate distress. Veterans described DD and challenges to T2DM self-management across the four domains in the Diabetes Distress Scale. We found that (1) Veterans' challenges with their T2DM self-management routines influenced DD and (2) Veterans experienced DD across a wide range of domains, indicating that clinical interventions should take a "whole-person" approach.Trial Registration: NCT04587336.

Challenging diabetes mellitus-related stigma with targeted education

Diabetes mellitus is a highly prevalent chronic metabolic disorder that requires rigorous self-management to prevent complications and maintain health. Managing diabetes can also be psychologically challenging for those living with the condition, significantly affecting their mental health, particularly when diabetes-related stigma manifests as discrimination, social rejection and internalised shame. This article examines how diabetes-related stigma often stems from misconceptions about the condition, but nonetheless can adversely affect the self-care, physical health and quality of life of people living with the condition. The author explains how mitigating this stigma through targeted education, empathic communication and advocacy is essential and explores the pivotal role of nurses in reducing diabetes-related stigma.

Diabetes distress and depression in type 2 diabetes. A cross-sectional study in 18,000 individuals in the Central Denmark region

AIMS

Type 2 diabetes is linked to psychological distress and a doubled risk of depression. This study aims to characterize individuals with type 2 diabetes experiencing diabetes distress and/or depression in relation to lifestyle and metabolic outcomes.

METHODS

A population-based survey in 2020 targeted individuals with type 2 diabetes (aged 18-75 years) in the Central Denmark Region. This cross-sectional study assessed diabetes distress (using Problem-Area-in-Diabetes-scale) and depression (via hospital diagnosis and prescribed medication) as exposures. Logistic regression, adjusting for potential confounders, compared exposed and non-exposed groups on lifestyle habits, metabolic factors and medication usage related to cardio-metabolic risks.

RESULTS

Of 18,222 respondents with type 2 diabetes (46% response rate), 11% had depression, 14% had diabetes distress and 4% had both. Compared to those with neither condition, those with depression were more often smokers (OR: 2.0, 95% CI: 1.8; 2.3) and sedentary in leisure time (OR: 2.0, 95% CI: 1.8; 2.2). Diabetes distress was associated with elevated HbA1c (OR: 1.8, 95% CI: 1.5; 2.0) and treatment with insulin (OR: 1.8, 95% CI: 1.6; 2.0). Half with diabetes distress displayed stable blood glucose levels. Those with both conditions had a higher risk of sedentary behaviour (OR: 2.7, 95% CI: 2.3; 3.2), clinical insomnia (OR: 6.5, 95% CI: 5.5; 7.7) and low self-rated health (OR: 7.5, 95% CI: 6.3; 9.0) than those with either psychological condition in isolation.

CONCLUSIONS

This study emphasizes the importance of recognizing distinct features and risk factors associated with diabetes distress and depression in individuals with type 2 diabetes. Tailored care strategies for comorbid mental health issues are crucial for comprehensive management.

A Quality Improvement Project on Team-Based Care for Depression Screening Before and During the COVID-19 Pandemic in a Specialty Clinic

BACKGROUND

Depression screening is an important first step to identifying patients who might benefit from depression treatment. Merit-based incentive payment system (MIPS) quality measures can yield financial benefits or losses for healthcare systems, including depression screening.

OBJECTIVES

This study aims to (1) develop a team-based care workflow to improve MIPS depression screening in a specialty clinic and (2) modify the workflow to include a virtual nursing and behavioral health resource after the COVID-19 pandemic hit.

METHODS

A quality improvement project, utilizing Lean Six Sigma process improvement methods, was implemented to improve team-based depression screening in a specialty clinic. A multidisciplinary team implemented plan-do-study-act cycles, created educational materials tailored to each role, developed electronic medical record (EMR) tools to alert and assist team members in screening, and ensured the EMR aligned with the MIPS criteria. The percentage of eligible visits where depression screening was performed was analyzed across four study periods: pre-intervention, post-intervention, COVID-19, and recovery. Recovery strategies included developing telehealth workflows, establishing centralized registered nurse triage groups, and using phone-based triage and support resources at virtual visits.

RESULTS

Utilizing team-based strategy and available or newly developed tools, the percentage of eligible visits with completed depression screening was as follows: 1.4% pre-intervention, 58.2% post-intervention, 3.5% COVID-19, and 64.0% recovery. With the COVID-19 pandemic outbreak, initially, improved screening performance declined sharply. Recovery was achieved through the revision of workflows, team members, and support tools.

CONCLUSIONS

A team-based care approach can successfully improve and maintain depression screening in a specialty clinic and was versatile enough to be readapted to virtual visits during the COVID-19 pandemic. In addition to impacting MIPS quality incentives, the depression screening workflows described in this article can be adapted to other uses, including virtual and in-person visits and in other specialty or chronic disease settings.

Depressive Symptoms, Perceived Stress, and Associated Socio-Demographic and Diabetes-Related Factors in People With Type 2 Diabetes in Nepal

The aim of this study was to assess the prevalence and associated factors of depressive symptoms and perceived stress among people with Type 2 diabetes mellitus (T2DM) in Nepal. Using a cross-sectional design, we collected data from 481 participants with T2DM in Kavrepalanchok and Nuwakot districts of Nepal. Depressive symptoms and perceived stress were assessed using Patient Health Questionnaire (PHQ-9) and Perceived Stress Scale, respectively. Associated independent variables were examined using binary logistic regression analyses. Of 481 participants, 123 (25.8%) had depressive symptoms (PHQ-9 score ≥5) and 156 (32.4%) experienced perceived stress. Low monthly income ( Collapse

Key Words

• Nepal
• depressive symptoms
• mental health
• perceived stress
• type 2 diabetes mellitus

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MESH Headings

• Humans
• Diabetes Mellitus, Type 2/psychology
• Diabetes Mellitus, Type 2/epidemiology
• Nepal/epidemiology
• Male
• Female
• Cross-Sectional Studies
• Middle Aged
• Depression/epidemiology
• Depression/psychology
• Stress, Psychological/psychology
• Stress, Psychological/epidemiology
• Adult
• Socioeconomic Factors
• Aged
• Prevalence
• Medication Adherence/psychology
• Medication Adherence/statistics & numerical data
• Risk Factors
• Sociodemographic Factors

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Grants Collapse

Affiliation(s)

Ashmita Karki School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
Corneel Vandelanotte School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
Lal B. Rawal School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia

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Bidirectional relationship between diabetes mellitus and depression: Mechanisms and epidemiology

Diabetes mellitus and depression exhibit a complex bidirectional relationship that profoundly impacts patient health and quality of life. This review explores the physiological mechanisms, including inflammation, oxidative stress, and neuroendocrine dysregulation, that link these conditions. Psychosocial factors such as social support and lifestyle choices also contribute significantly. Epidemiological insights reveal a higher prevalence of depression among diabetics and an increased risk of diabetes in depressed individuals, influenced by demographic variables. Integrated management strategies combining mental health assessments and personalized treatments are essential. Future research should focus on longitudinal and multi-omics studies to deepen understanding and improve therapeutic outcomes.

Diabetes self-care and its associated factors among type 2 diabetes mellitus with chronic kidney disease patients in the East Coast of Peninsular Malaysia

Introduction

Diabetes self-care among diabetic patients is crucial as it determines how patients care for their illness in their daily routine for better diabetes control. This study aims to calculate the average score for diabetes self-care among patients with type 2 diabetes mellitus and chronic kidney disease and to identify factors that are associated with this score.

Materials and Methods

This cross-sectional study enrols patients over 18 years old with type 2 diabetes mellitus and chronic renal disease with an eGFR of less than 60 mL/min/1.73 m2 in a tertiary hospital in Malaysia. The Malay version of the Summary of Diabetic Self-Care Activities (SDSCA) was used to assess diabetes self-care, the Malay version of the diabetes-related distress questionnaire (DDS-17) was used to assess diabetes distress, and the Malay version of the Patient Health Questionnaire-9 (PHQ-9) was used to assess depression. Data analysis was performed using both simple and multiple linear regression models to determine the associations between variables.

Result

One hundred and seventy-six eligible patients were recruited for this study. The mean score for diabetes self-care is 3.62. The eGFR (p = 0.002) and diabetes distress (p = 0.004) are the significant associated factors for diabetes self-care among type 2 diabetes mellitus patients with chronic kidney disease.

Conclusion

The mean score for diabetes self-care indicated a moderate level of self-care. The eGFR level and diabetes distress were important factors influencing diabetes self-care practices.

Association between prediabetes and depression: A meta-analysis

BACKGROUND

Previous studies evaluating the association between prediabetes and depression have shown inconsistent results. Consequently, the aim of the systematic review and meta-analysis was to investigate whether prediabetes is associated with depression in the general population.

METHODS

Relevant observational studies were obtained by searching the Medline, Web of Science, and Embase databases. A random-effects model was utilized to pool the results by incorporating the influence of heterogeneity. Multiple subgroup analysis was performed to evaluate the influence of the study characteristics on the outcome.

RESULTS

Sixteen large-scale cross-sectional studies involving 322,863 participants were included. Among the total participants, 82,154 (25.4%) had prediabetes. The pooled results showed that prediabetes was associated with a higher prevalence of depression in this population (odds ratio [OR]: 1.16, 95% confidence interval [CI]: 1.05 to 1.28, p = 0.003; I2 = 58%). Subgroup analysis showed a stronger association between prediabetes and depression in younger subjects (<50 years old, OR: 1.25, 95% CI: 1.04 to 1.50) than that in older subjects (≥50 years old, OR: 1.05, 95% CI: 1.10 to 1.10; p for subgroup difference = 0.03). Other study characteristics, such as the study country, sex of the participants, definition of prediabetes, methods for the detection of depression, and study quality score, did not seem to significantly affect the results (p for subgroup difference all > 0.05).

CONCLUSIONS

Prediabetes may be associated with a slightly higher prevalence of depression in the general population, particularly in subjects aged <50 years old.

Exploring the active components and potential mechanisms of Alpiniae oxyphyllae Fructus in treating diabetes mellitus with depression by UPLC-Q-Exactive Orbitrap/MS, network pharmacology and molecular docking

The growing incidence of diabetes mellitus (DM) and depression is a global public health issue. Alpiniae oxyphyllae Fructus (AOF) is a kind of medicinal and edible plant which be found with anti-diabetic property, and could improve depression-like symptoms. This study aimed to screen active targets and potential mechanisms of AOF in treating DM with depression. Injection of streptozotocin (STZ) and exposure to chronic unpredictable mild stress (CUMS) for 4 weeks were used to conduct the DM with depression mice model. Behavioral tests, indexes of glucose metabolism, monoamine neurotransmitters, inflammatory cytokine and oxidative stress were measured. Histopathological change of hippocampus tissue was observing by HE and Nissl staining. UPLC-Q-Exactive Orbitrap/MS, network pharmacology and molecular docking were used to explore the chemical components and mechanisms of AOF on the DM with depression. AOF showed a reversed effect on body weight in DM with depression mice. Glucose metabolism and insulin resistance could be improved by treatment of AOF. In addition, AOF could alleviate depression-like behaviors based on the results of behavior tests and monoamine neurotransmitters. AOF also attenuated STZ-CUMS induced neuron injury in hippocampus. Next, a total of 61 chemical components were identified in the UPLC-Q-Exactive Orbitrap/MS analysis of the extract of AOF. Network pharmacology analysis suggested that 12 active components and 227 targets were screened from AOF, and 1802 target genes were screened from DM with depression, finally 126 intersection target genes were obtained. Drug-disease targets network was constructed and implied that the top five components with a higher degree value includes quercetin, nootkatone, baicalein, (-)-epicatechin and nootkatol. Protein-protein interaction (PPI) network showed that MAPK1, FOS, AKT1, IL6 and TP53 may be the core intersection targets. The mechanism of the effect of AOF on DM with depression was analyzed through gene ontology (GO), and kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, mainly involved in AGE/RAGE, PI3K/AKT, and MAPK signaling pathways. The results of molecular docking indicated that quercetin, nootkatone, baicalein, (-)-epicatechin and nootkatol all had good binding to the core intersection targets. Overall, our experimental researches have demonstrated that AOF could exert the dual effects of anti-diabetic and anti-depression on DM with depression mice, through multi-targets and multi-pathways.

Temporal Relationship between HbA1c and Depressive Symptom Trajectories in a Longitudinal Cohort Study: The Mediating Role of Healthy Lifestyles

This study analyzed China Health and Retirement Longitudinal Study data to explore the HbA1c-depression link, including depressive trajectories, while considering the mitigating impact of healthy lifestyles. Cross-lagged panel models and group-based trajectory modeling were performed to investigate the temporal relationship between HbA1c levels and depressive symptoms, as well as the depressive trajectories. Structural equation models were used to assess the mediating effects of healthy lifestyles. The mean age of the participants was 57.66 ± 9.04 years, with 53.68% being female. Analyzing 8826 participants across three waves, we observed a significant prediction of subsequent depressive symptoms by the preceding HbA1c levels (β = 0.296; p < 0.001). Four distinct trajectories of depressive symptoms were distinguished: stable low, stable moderate, increasing, and stable high. Elevated HbA1c levels were associated with a higher risk of developing stable high (OR 1.12 and 95% CI 1.02-1.23), increasing (OR 1.21 and 95% CI 1.11-1.32), and stable moderate depressive symptoms (OR 1.07 and 95% CI 1.01-1.13). Engaging in two healthy life behaviors reduced stable high and increasing depressive pattern risks by 32% and 30%, respectively. Adherence to a healthy lifestyle lessened 7.2% of the impact of high HbA1c levels on the subsequent depressive symptoms. These findings highlight the potential benefits of incorporating adequate sleep and light physical activities, which might reduce the adverse impact of elevated HbA1c levels on depressive symptoms.

Diabetes Distress and Associated Factors Among Chinese Americans with Type 2 Diabetes in New York City

Purpose

The purpose of this study is to describe diabetes distress and related factors among Chinese Americans with type 2 diabetes in New York City (NYC).

Methods

We conducted a secondary data analysis of the baseline data from three research studies conducted among community-dwelling Chinese American adults with type 2 diabetes. Diabetes Distress Scale (DDS) was used to measure sources of diabetes distress including emotional-, regimen-, interpersonal-, and physician-related distress. A score of 2 or greater indicates moderate diabetes distress or higher. Patient Health Questionnaire-2 (PHQ-2) was used to measure depressive symptoms. Participants' sociodemographic information was also collected. Descriptive statistics were used to describe diabetes distress, and logistic least absolute shrinkage and selection operator (LASSO) regression was used to examine factors associated with diabetes distress level.

Results

Data from 178 participants (mean age 63.55±13.56 years) were analyzed. Most participants were married (76.40%), had a high school degree or less (65.73%), had a household annual income < $25,000 (70.25%), and reported limited English proficiency (93.22%). About 25.84% reported moderate or higher overall distress. The most common sources of distress were emotional burden (29.78%), followed by regimen- (28.65%), interpersonal- (18.54%), and physician-related distress (14.04%). Participants who were younger, female, limited English proficient, and had elevated depressive symptoms were more likely to have higher diabetes distress.

Conclusion

Diabetes distress is prevalent among Chinese immigrants with type 2 diabetes, especially emotional- and regimen-related distress. Given the known link between diabetes distress and poor glycemic control, it is critical to screen for diabetes distress at primary care clinics and incorporate psychological counseling in diabetes care in this underserved population.

The Interrelationship between Diabetes Mellitus and Emotional Well-Being: Current Concepts and Future Prospects

Diabetes mellitus is a lifelong metabolic disorder that impacts people's well-being and biopsychosocial status. Psychiatric problems and diabetes mellitus have a complex, reciprocal interaction in which one condition affects the other. In this narrative review, we provide an overview of the literature on the psychological effects of diabetes, expound on the evaluation of emotional disorders in the setting of diabetes, and suggest interventions aimed at enhancing both mental and physical health. Diabetes can make daily life complicated and stressful. Frequent blood glucose testing, taking medications on a regular basis, adhering to a tight diet plan, and exercising are some examples of the suggested daily routine of subjects with diabetes. Furthermore, comorbid diseases and typical diabetic complications can have a detrimental impact on quality of life. When mental health conditions coexist with diabetes mellitus, there is a greater likelihood of medication noncompliance, a decreased commitment to diabetes-related self-care, increased functional impairment, inadequate glycemic control, a higher risk of complications, and overall higher healthcare expenses. Thus, evaluation of the mental health status of patients with diabetes is crucial. When treating psychological issues and psychiatric disorders, a comprehensive biopsychosocial approach should be taken, and where appropriate, psychopharmacological therapies or psychotherapy should be applied. The goal of continuous education and assistance for self-care is to give individuals with the disease the information and abilities they need to control their condition over time.

Correlates of Self-Reported Executive Function Impairment Among Medicaid Beneficiaries With Type 2 Diabetes

Aims

Executive function (EF) impairment is associated with poorer outcomes for individuals with type 2 diabetes. Previous research has identified risk factors for EF impairment, but many of these are also associated with type 2 diabetes. To address this issue, this study identified relevant variables from the literature and compared their association with EF in a sample of people with type 2 diabetes.

Methods

Adult members of a Medicaid health plan diagnosed with type 2 diabetes were enrolled in a social needs intervention trial. Using baseline data from the trial, bivariate and multivariable regression analyses examined associations between EF and demographic, health, and psychosocial factors.

Results

When controlling for other factors, we identified six significant correlates of EF impairment: age (β = 0.10), education (college vs. no college; β = -0.38), depression symptoms (β = 0.18), comorbidity burden (β = 0.21), diabetes-related distress (β = 0.14), and future time orientation (β = -0.13).

Conclusion

Our analysis identified several factors associated with greater EF impairment, which may interfere with diabetes self-management. Providers should consider these factors when prescribing treatments and determine whether additional resources or accommodations are warranted.

The relationship between depression and lipid accumulation product: a population-based study

Background

Lipid Accumulation Product (LAP) is a new type of obesity index. The relationship between LAP and depression is unclear, and this cross-sectional study was conducted to explore the relationship between LAP and depression using the National Health and Nutrition Examination Survey (NHANES) database from 2005-2018.

Methods

In our study, logistic regression analysis was used to calculate the odds ratio between depression and LAP, and subgroup analysis and sensitivity analysis were also performed to verify the robustness of the results.

Results

The analysis included 13,240 participants aged 20 years or older. After adjusting for multiple variables, LAP was positively associated with depression, OR 1. 50 (95% CI, 1. 05-2. 12). In subgroup analysis, LAP was significantly positively, associated with depression among male (2. 52, OR; 95% CI, 1. 39,4. 57), non-Hispanic Black (2. 55, OR; 95% CI, 1. 49,4. 36), those without diabetes (1. 67, OR; 95% CI, (1. 06,2. 61) or in the overweight (2. 09, OR; 95% CI, (1. 23,3. 54) subgroups. After inverse probability of treatment weighting (IPTW), the OR for the highest versus lowest quartile was 1. 55 (95% CI: 1. 24 - 1. 95).

Conclusion

There are positive results between LAP and depression after adjusting for multiple potential variables, and prospective studies are needed to verify the results.

Associations between body weight change and incidence of major depressive disorder in patients with type 2 diabetes mellitus: a nationwide longitudinal follow-up cohort study of 1.1 million

BACKGROUND

Comorbid depression substantially affects the management of glycemia and diabetes-related complications among patients with type 2 diabetes mellitus. In this study, we sought to determine the association between weight change over 4 years and depression risk among patients with type 2 diabetes mellitus.

METHODS

This population-based retrospective cohort study from the National Health Insurance Services of Korea included 1 111 345 patients with type 2 diabetes who were divided into groups according to body weight change over 4 years. Body weight changes were compared with the preceding 4-year period (2005-2008). Depression was defined according to the International Classification of Diseases 10th revision code for depression (F32 and F33) on one or more inpatient or outpatient claims.

RESULTS

During a median follow-up of 7.4 years, 244 081 cases of depression were identified. We observed a U-shaped association between body weight change and depression risk with a higher risk among both groups of weight loss (hazard ratio (HR) 1.17, 95% CI 1.15-1.19 for ⩾ -10%; HR 1.07, 95% CI 1.06-1.08 for -10 to -5%) and weight gain (HR 1.06, 95% CI 1.04-1.08 for ⩾10%; HR 1.02, 95% CI 1.01-1.04 for 5-10%) compared with the stable weight group (-5 to 5%).

CONCLUSIONS

A U-shaped association between body weight change and depression risk was observed in this large nationwide cohort study. Our study suggests that patients with type 2 diabetes and weight change, either gain or loss, could be considered a high-risk group for depression.

Cardiovascular Health in Black and Latino Adults With Type 2 Diabetes

BACKGROUND

The incidence of type 2 diabetes (T2DM) among U.S. adults has been rising annually, with a higher incidence rate in Black and Hispanic adults than in Whites. The American Heart Association (AHA) has defined cardiovascular health according to the achievement of seven health behaviors (smoking, body mass index [BMI], physical activity, diet) and health factors (total cholesterol, blood pressure, fasting glucose). Optimal cardiovascular health has been associated with a lower risk of cardiovascular disease, and awareness of this risk may influence healthy behaviors.

OBJECTIVES

This study aimed to assess cardiovascular health in a sample of Black and Hispanic adults (age: 18-40 years) with T2DM and explore the barriers and facilitators to diabetes self-management and cardiovascular health.

METHODS

This was an explanatory sequential mixed-method design. The study staff recruited adults with T2DM for the quantitative data followed by qualitative interviews with a subsample of participants using maximum variation sampling. The seven indices of cardiovascular health as defined by the AHA's "Life's Simple 7" were assessed: health behaviors (smoking, BMI, physical activity, diet) and health factors (total cholesterol, blood pressure, A1C). Qualitative interviews were conducted to explore their results as well as the effects of the pandemic on diabetes self-management. Qualitative and quantitative data were integrated into the final analysis phase.

RESULTS

The majority of the sample was female, with 63% identifying as Black and 47% as Hispanic. The factor with the lowest achievement of ideal levels was BMI, followed by a healthy diet. Less than half achieved ideal levels of blood pressure or physical activity. Themes that emerged from the qualitative data included the impact of social support, the effects of the pandemic on their lives, and educating themselves about T2DM.

DISCUSSION

Achievement of ideal cardiovascular health factors varied, but the achievement of several health factors may be interrelated. Intervening on even one factor while providing social support may improve other areas of cardiovascular health in this population.

Diabetes mellitus in privately insured autistic adults in the United States

LAY ABSTRACT

Diabetes is a chronic health condition that is challenging to manage. Estimates of how common diabetes is among non-autistic adults are available, but improved estimates for autistic adults are needed. The purpose of this study was to obtain improved diabetes estimates for autistic adults. We analyzed a large private health insurance claims database to estimate how common diabetes was among autistic adults, and how likely autistic adults were to have diabetes compared to non-autistic adults at 5-year age intervals throughout adulthood (e.g. 18-22, 23-27). We found that diabetes was more common among autistic adults than non-autistic adults and that autistic adults were significantly more likely than non-autistic adults to have diabetes throughout most of adulthood. Our findings suggest that autistic adults may be more likely than non-autistic adults to experience diabetes in adulthood. The development of diabetes support services and programs that accommodate autistic adults' individual needs are important for future study to promote positive diabetes outcomes for autistic adults.

Reconsidering the role of depression and common psychiatric disorders as partners in the type 2 diabetes epidemic

Common psychiatric disorders (CPDs) and depression contribute significantly to the global epidemic of type 2 diabetes (T2D). We postulated a possible pathophysiological mechanism that through Bridge-Symptoms present in depression and CPDs, promotes the establishment of emotional eating, activation of the reward system, onset of overweight and obesity and, ultimately the increased risk of developing T2D. The plausibility of the proposed pathophysiological mechanism is supported by the mechanism of action of drugs such as naltrexone-bupropion currently approved for the treatment of both obesity/overweight with T2D and as separate active pharmaceutical ingredients in drug addiction, but also from initial evidence that is emerging regarding glucagon-like peptide 1 receptor agonists that appear to be effective in the treatment of drug addiction. We hope that our hypothesis may be useful in interpreting the higher prevalence of CPDs and depression in patients with T2D compared with the general population and may help refine the integrated psychiatric-diabetic therapy approach to improve the treatment and or remission of T2D.

Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population

OBJECTIVES

To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up.

METHODS

n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control.

RESULTS

The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up.

CONCLUSIONS

This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.

Psychosocial and clinical factors associated with depression among diabetic patients in Amhara region comprehensive specialized hospitals, Ethiopia, 2022; a multicenter prevalence study

Background

Depression commonly coexists with diabetes leads to complications and worsens the outcome. Even though the problem affects low- and middle-income countries including Ethiopia, only a few studies have been done to show the magnitude of the problem and factors associated with it. So, the study was conducted to fill those gaps.

Objective

The main objective of this study was to assess psychosocial and clinical factors associated with depression among diabetic patients in Amhara region comprehensive specialized hospitals, Ethiopia, 2022.

Methods

A hospital-based cross-sectional study was conducted in randomly selected hospitals of Amhara region from January 7 to February 10, 2022. A total of 426 diabetic patients who were on outpatient follow-up were selected using a multistage sampling technique. A p-value of ≤0.25 in the bivariable analysis was used to select variables for the multivariable analysis. A p-value < 0.05 within a 95% confidence interval was considered to be significantly associated factors.

Result

Out of 426 interviewed diabetes patients 203 (47.7%) had depression. Moderate physical activity (AOR = 0.50, 95% CI (0.29, 0.86)). low medication adherence (AOR = 2.10, 95% CI (1.22, 3.62)), medium medication adherence (AOR = 1.78, 95% CI (1.04, 3.06)), and high social support (AOR = 0.54, 95% CI (0.33, 0.91)) were significantly associated with depression among diabetic patients.

Conclusion

The overall prevalence of depression among diabetic patients was higher than in other developing countries. Hence, special attention to preventing depression and maintaining mental illness among patients with chronic illnesses, especially diabetes should be given.

Eight-year nationwide study of the bidirectional association between type 2 diabetes and depression in nearly 8 million German outpatients

INTRODUCTION

Research linking type 2 diabetes and depression mostly relied on hospital-based diagnoses or prescription data, overlooking many outpatient diagnoses. We aimed to quantify the risks of depression in individuals newly diagnosed with type 2 diabetes, and type 2 diabetes in those newly diagnosed with depression, while exploring potential risk differences depending on age, sex, and follow-up time.

RESEARCH DESIGN AND METHODS

We conducted a matched cohort study using German nationwide outpatient claims data from 2012 to 2022. Participants were individuals newly diagnosed with type 2 diabetes (N=294 642) or depression (N=1 271 537) in 2015, matched in a 1:4 ratio to controls without these conditions by age, sex, and region. The bidirectional risk was evaluated over an 8-year period using mixed-effects Cox proportional hazards models, adjusting for the Charlson Comorbidity Index, urbanicity, and area-level deprivation.

RESULTS

New type 2 diabetes diagnosis was associated with higher depression risk over 8 years (N=54 561 with depression, HR=1.23, 99% CI=1.21 to 1.24). Similarly, depression diagnosis was linked to an increased type 2 diabetes risk (N=71 848 with type 2 diabetes, HR=1.15, 99% CI=1.14 to 1.17). The association between depression and type 2 diabetes was stronger in younger age groups, especially under 34 years. Findings held across sex-stratified analyses. Time stratification showed a more pronounced association between type 2 diabetes and depression risk during the earlier follow-up quarters, whereas the risk of developing type 2 diabetes after depression diagnosis remained constant throughout the follow-up period.

CONCLUSIONS

Our findings confirm a bidirectional link between type 2 diabetes and depression, particularly in younger individuals. As type 2 diabetes and depression are frequent, future research needs to study whether preventive approaches can reduce the risk of developing this comorbidity.

Insights into the Feasibility and Acceptability of a Mobile Insulin Titration Application in Clinical Practice and Its Effects on Diabetes Outcomes

Introduction: Insulin therapy is most effective if patients learn how to properly adjust insulin to achieve glycaemic targets. There is a need for methods and tools that can assist these processes in clinical practice. The purpose of this feasibility study was to evaluate an approach to support insulin dose adjustment in individual patients using a mobile titration application (app). Methods: A cohort of adults (N=36) with type 2 diabetes with suboptimal glycaemia who were starting basal insulin self-titration were trained by a diabetes care and education specialist to use a mobile titration app to guide adjusting insulin doses. Glycaemia, diabetes distress and patient and provider satisfaction were assessed during the first 3 months after initiating basal insulin titration using the mobile app. Results: Mean haemoglobin type A1c (HbA1c) was significantly reduced by an average of 2.1 ± 2.2% from baseline to 3 months (p<0.001). Diabetes distress significantly decreased from baseline to follow-up with scores going down (or improving) across all scales. Both patients and providers reported high levels of satisfaction and positive experiences. Conclusion: The model offers a promising solution to streamline insulin dosage adjustments to achieve specific clinical and self-management goals with high expectations for long-term benefits and warrants further investigation.

Beyond diagnosis: Investigating factors influencing health-related quality of life in older people with type 2 diabetes in Slovenia

AIMS

To examine the present state of health-related quality of life (HRQOL) among elderly individuals with type 2 diabetes (T2D) receiving integrated care and identify risk factors associated with low HRQOL.

METHODS

A multi-centre cross-sectional survey among elderly individuals with T2D, treated in Slovenian urban and rural primary care settings was performed. HRQOL was investigated using EuroQol 5-dimension (EQ-5D) questionnaire and Appraisal of Diabetes Scale (ADS). Furthermore, socio-demographic, clinical, and laboratory data were collected. Low HRQOL was defined as EQ-5D utility score <10%. Statistical analysis was performed using univariate and multivariate binary logistic regression statistics.

RESULTS

Examining 358 people with median age of 72 (range 65-98) years and with a mean EQ-5D utility score of 0.80, the study found that lower HRQOL correlated with older age, higher body mass index (BMI), lower education, elevated depressive symptoms, increased challenges across all EQ-5D dimensions, and less favourable appraisal of diabetes. When considering age, gender, education, and HbA1c, the main predictors of low HRQOL were BMI (OR 1.35, 95% CI 1.04-1.76, p = 0.025) and ADS score (OR 1.63, 95% CI 1.13-2.35, p = 0.009).

CONCLUSIONS

To improve HRQOL, integrated care models should consider interventions that target mental health, obesity prevention, chronic pain management, diabetes education, self-management, and treatment plan personalisation.

Psychological resilience mediates the relationship between diabetes distress and depression among persons with diabetes in a multi-group analysis

The aim to examine the link between diabetes distress and depression in individuals with diabetes, assess the mediating role of psychological resilience in this relationship, and analyses if these relationships differ between Type 1 and Type 2 diabetes. The study utilized a cross-sectional design. A total of 181 (age 33-72 years, mean = 54.76 years, and SD = 9.05 years) individuals diagnosed with diabetes who were receiving treatment from State Specialist Hospitals in Okitipupa were selected for the study using the convenient sampling technique. The data were analysed using Pearson Multiple correlation and multi-group mediation analysis. The analyses were carried out with Smartpls and IBM/SPSS Version 28.0. The results revealed a significant positive correlation between diabetes distress and depression (r = .80, p < .05), suggesting that higher levels of diabetes distress were associated with increased depression scores. Additionally, psychological resilience partially mediated the relationship between diabetes distress and depression (b = - 0.10, p < .05), signifying that resilience played a crucial role in mitigating the impact of diabetes distress on depression. Furthermore, a multi-group analysis was conducted to explore potential differences between Type 1 and Type 2 diabetes subgroups. The relationship between diabetes distress and depression was found to be more pronounced in the Type 1 subgroup (difference = 0.345, p < .05), while the relationship between psychological resilience and depression was negatively stronger in the Type 2 subgroup (difference = - 0.404, p < .05) compared to the Type 1 subgroup. There is an intricate linkage between diabetes distress, resilience, and depression, emphasizing the differential roles of resilience in Type 1 and Type 2 diabetes. The insights gleaned from this study underscore the importance of considering the type of diabetes when designing interventions and support mechanisms for individuals with diabetes who are also suffering from depression. By advancing our understanding of these dynamics, we can strive for more effective and personalized approaches to improve the overall well-being of those living with diabetes.

Factors influencing self-care management in adult hemodialysis patients: An integrative review

Background: End-stage renal disease (ESRD) poses a significant health challenge, with hemodialysis (HD) being the most prevalent therapy. Patients undergoing HD must comply with a strict therapeutic regimen, including dietary control, fluid restriction, and medication adherence. Successful disease management and improved outcomes rely on patients' involvement and participation in their care. Aim: To identify the factors that hinder or facilitate self-care management (SCM) in HD patients. Methodology: This review followed Whittemore and Knafl's integrative review framework. A comprehensive literature search of articles published between 2017 and 2022 was conducted in CINAHL, Medline, and PubMed using the keywords end-stage renal disease, hemodialysis, self-care management, self-care, and self-management. This search yielded 21 suitable articles for review. Results: SCM is influenced by three main factors: facilitators, barriers, and outcomes. Facilitators of SCM include self-care management interventions, patient knowledge, socio-demographic factors, family support, healthcare professionals, peer support, and psychological factors. Barriers encompass psychological and physical conditions. Outcomes include both physiological and psychological aspects. Conclusion: Understanding the factors influencing SCM in HD patients is vital for developing reliable and effective self-care strategies and interventions to enhance both physical and psychological outcomes.

Analysis of depression incidence and influence factors among middle-aged and elderly diabetic patients in China: based on CHARLS data

BACKGROUND

To investigate the incidence of depression in middle-aged and elderly patients with diabetes in China and the influencing factors to provide a theoretical basis to improve the mental health of middle-aged and elderly patients with diabetes and formulate prevention, control, and intervention strategies.

METHODS

The sample of this study was obtained from the China Health and Aging Tracking Survey (CHARLS) 2018 survey data, and middle-aged and older patients with diabetes(responding "Yes" to the questionnaire: "Have you ever been told by a doctor that you have diabetes or elevated blood glucose [including abnormal glucose tolerance and elevated fasting glucose]?") aged ≥ 45 years were selected as study subjects (n = 2,613 ). Depressive symptoms of the study subjects were determined using the simplified version of the Depression Scale for Epidemiological Surveys scores(a score ≥ 10 was defined as depression), influence factors were analyzed using binary logistic regression, and proportion of depressive symptoms was standardized using the sex ratio of the seventh census.

RESULTS

Among the 2,613 middle-aged and elderly patients with diabetes, 1782 (68.2%) had depressive symptoms and 831 (31.8%) had no depressive symptoms. There were 481 (27.0%) patients aged 45-59 years, 978 (54.9%) aged 60-74 years, and 323 (18.1%) aged ≥ 75 years. The depression rate among middle-aged and elderly Chinese patients with diabetes after standardization correction was 67.5%. Binary logistic regression results showed that age, education level, life satisfaction, marital satisfaction, self-rated health grade, somatic pain, visual impairment, physical disability, and the presence of comorbid chronic diseases were factors that influenced the onset of depression in middle-aged and elderly Chinese patients with diabetes (P < 0.05).

CONCLUSION

According to a survey analysis of the CHARLS 2018 data, depression is influenced by a combination of factors among middle-aged and elderly patients with diabetes in China. Therefore, for this population, targeted prevention and control should be carried out for key populations, such as middle-aged and elderly people, poor physical health, and low life satisfaction and marital satisfaction, from various dimensions (e.g., demographic and sociological factors, physical health status, and life satisfaction and marital satisfaction).

Associations between depression and diabetic retinopathy in the National Health and Nutrition Examination Survey, 2011 to 2018

INTRODUCTION

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes mellitus (DM). The relationship between depression and DR is unclear, and prior studies are limited by small sample sizes at single centers. This retrospective, cross-sectional study assessed the prevalence of and associations between depression and DR in the US using the National Health and Nutrition Examination Survey for 2011 to 2018.

METHODS

We collected information on the demographic characteristics, medical conditions, and examination data of NHANES participants with DM. We performed weighted analysis to estimate national prevalence and multivariate analysis to assess the relationship between depression and DR.

RESULTS

Of the 22,618 participants included, the prevalence of DM and DR were 3146 (13.9%) and 664 (2.9%). The prevalence of depression was 14.2% in DM only and 19.3% in DR (P = 0.006) with greater severity in the DR group (P < 0.001). After adjusting for comorbidities, DR was no longer significantly associated with depression. Depression was not associated with differences in disease management, although participants with depression had poorer self-perceived health status (P < 0.001).

CONCLUSIONS

Depression is more prevalent in individuals with DR than those with DM only. The relationship between depression and DR may be mediated by additional medical comorbidities, but further studies are needed.

Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study

OBJECTIVE

Due to heterogeneity and limited medical data in primary healthcare services (PHS), assessing the psychological risk of type 2 diabetes mellitus (T2DM) patients in PHS is difficult. Using unsupervised contrastive pre-training, we proposed a deep learning framework named depression and anxiety prediction (DAP) to predict depression and anxiety in T2DM patients.

MATERIALS AND METHODS

The DAP model consists of two sub-models. Firstly, the pre-trained model of DAP used unlabeled discharge records of 85 085 T2DM patients from the First Affiliated Hospital of Nanjing Medical University for unsupervised contrastive learning on heterogeneous electronic health records (EHRs). Secondly, the fine-tuned model of DAP used case-control cohorts (17 491 patients) selected from 149 596 T2DM patients' EHRs in the Nanjing Health Information Platform (NHIP). The DAP model was validated in 1028 patients from PHS in NHIP. Evaluation included receiver operating characteristic area under the curve (ROC-AUC) and precision-recall area under the curve (PR-AUC), and decision curve analysis (DCA).

RESULTS

The pre-training step allowed the DAP model to converge at a faster rate. The fine-tuned DAP model significantly outperformed the baseline models (logistic regression, extreme gradient boosting, and random forest) with ROC-AUC of 0.91±0.028 and PR-AUC of 0.80±0.067 in 10-fold internal validation, and with ROC-AUC of 0.75 ± 0.045 and PR-AUC of 0.47 ± 0.081 in external validation. The DCA indicate the clinical potential of the DAP model.

CONCLUSION

The DAP model effectively predicted post-discharge depression and anxiety in T2DM patients from PHS, reducing data fragmentation and limitations. This study highlights the DAP model's potential for early detection and intervention in depression and anxiety, improving outcomes for diabetes patients.

GLP-1 receptor agonists, SGLT2 inhibitors and noncardiovascular mortality in type 2 diabetes: Insights from a meta-analysis

OBJECTIVE

Type-2 diabetes (T2D) poses a higher risk of noncardiovascular mortality in addition to the burden of cardiovascular mortality. The well-established cardiovascular benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) could solely explain their apparent effects on all-cause mortality in T2D. The present meta-analysis aims to pool their effects on noncardiovascular mortality in T2D and summarize the recent evidence on plausible pathways mediating these effects.

METHODS

PubMed, Embase, Web of Science, and clinical trial registries were searched for randomized controlled trials (RCTs) with ≥1-year duration in adults with T2D reporting both cardiovascular and all-cause mortality in treatment versus placebo arms (PROSPERO: CRD42022337559). Noncardiovascular mortality was calculated by subtracting cardiovascular mortality events from all-cause mortality and risk ratios (RRs) were calculated. Random-effects meta-analysis was done. GRADE framework was used to assess evidence quality.

RESULTS

We identified 17 eligible RCTs pooling data retrieved from 109,892 patients. Randomization to GLP-1 RA treatment versus placebo was associated with reduced noncardiovascular mortality (RR = 0.90; 95%CI: 0.81-0.99; I2 = 0 %; p < 0.05), consistent with their effects on cardiovascular mortality (RR = 0.88; 95%CI: 0.81-0.95; I2 = 0 %; p < 0.01) in T2D. Compared to placebo, SGLT2i significantly reduced noncardiovascular mortality (RR = 0.90; 95%CI: 0.82-0.99; I2 = 0 %; p < 0.05) along with cardiovascular mortality (RR = 0.84; 95%CI: 0.77-0.92; I2 = 28 %; p < 0.001). Subgroup analysis showed no significant effects of heart failure or renal function on treatment benefits of SGLT2i on noncardiovascular mortality (p value > 0.2 for subgroup differences).

CONCLUSION

The impact of GLP-1RAs and SGLT2i on mortality in people with T2D extends beyond their cardiovascular benefits.

Adjusting to the "new normal": How were mental health and self-care affected in patients with diabetes mellitus 1 year into the COVID-19 crisis? A longitudinal study

This study aimed to assess the long-term effect of the pandemic on mental health and self-care parameters in patients with diabetes during the COVID-19 pandemic in Brazil. After 18 months of pandemic, 118 participants remained in the study (mean age of 56.6 ± 13.4 years, 66.7% were women). We observed no change in the scores for mental health disorders screening. Regarding self-care, patients with type 1 diabetes showed an improvement in the adherence score compared to those found at the beginning of the pandemic (variation + 3.5 (-6.0 to +15.8) points, p = 0.02), and also compared to those with type 2 diabetes. Although the pandemic have negatively affected many people's mental health, especially in those with chronic diseases, our results show that patients with diabetes may have developed good coping and adaptive strategies to maintain diabetes control and symptom pattern of mental health disorders over the course of the pandemic.

Nutrition and Mental Well-Being: Exploring Connections and Holistic Approaches

Quality of life, well-being, and psycho-emotional balance are closely related to the quality of the diet, the level of physical activity, the quality of rest, but also the absence of the consumption of narcotic substances and tobacco, or alcohol abuse. Based on the distribution of a questionnaire that included 30 questions, we aimed to statistically evaluate several factors that influence mental health and vices. It recorded a total of 1719 valid responses, which came from 78.3% female respondents and 21.7% male respondents. After processing the anthropometric data, it was observed that the majority of respondents are of normal weight (63.87%) and come from women in particular (36.13%). Based on the answers recorded, although over 60% of the respondents participating in the study are up to 40 years old, there is an increased tendency towards sedentarism (over 58% of the respondents declaring that they do sports very rarely or not at all), a low tendency regarding optimal consumption of vegetables and fruits, many respondents do not hydrate properly, which is why approximately 60% of respondents feel frequently tired, and over 32% are frequently nervous. The increased level of stress among the respondents and emotional eating are also generated by inadequate rest, reduced physical activity, and a diet that does not help the efficient detoxification of the body.

Promoting kidney health in people with type 2 diabetes: part 2

The incidence of chronic kidney disease is increasing internationally with many risk factors for chronic kidney disease also being risk factors for type 2 diabetes. Nurses should use primary, secondary and tertiary prevention to minimise the incidence of chronic kidney disease when caring for individuals with type 2 diabetes. This article is the second in a two-part series on the interrelationship between these long-term conditions. Part 1 addressed the significance of using primary prevention to promote kidney health in adults living with type 2 diabetes; part 2 will discuss the use of secondary and tertiary prevention relevant to these long-term conditions.

Intervention Effects of Physical Activity on Type 2 Diabetic Patients Potentially Infected with COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has clearly had a great influence on the lifestyles of the population, especially on patients with type 2 diabetes mellitus. During the COVID-19 outbreak, many countries/regions implemented social-isolation measures, leading to an increase in negative behaviors and impairing the capability of diabetic patients to resist COVID-19, ultimately causing severe prognoses. Moreover, as the epidemic progressed, multiple studies emphasized the significance of physical exercise in the management of type 2 diabetic patients infected with COVID-19. In this study, we selected research from 1 December 2019 to 9 August 2023 that focused on COVID-19-infected diabetic patients to investigate the impact of type 2 diabetes on the immune functions, inflammation factor levels, lung injuries, and mental disorders of such patients, as well as to assess the risk of novel coronavirus pneumonia in these patients. Additionally, the effects of high-intensity, moderate-intensity, and low-intensity exercises on novel coronavirus pneumonia infection in type 2 diabetic patients and the mechanisms of the effects of such exercise were considered. We concluded that elderly diabetic patients with COVID-19 should perform low-intensity exercises to facilitate their recoveries. This study offers guidance for a proper understanding of the dangers of diabetes and the use of appropriate measures to reduce the risk of novel coronavirus pneumonia infections in type 2 diabetic patients.

Real-world evidence on health-related quality of life in patients with type 2 diabetes mellitus using sulphonylureas: An analysis of the Joint Asia Diabetes Evaluation (JADE) Register

AIMS

To describe health-related quality of life (HRQoL) and identify associated factors in patients with type 2 diabetes mellitus (T2DM) treated with oral glucose-lowering drugs (OGLDs).

METHODS

This retrospective, cross-sectional analysis included adults with T2DM from 11 Asian countries/regions prospectively enrolled in the Joint Asian Diabetes Evaluation (JADE) Register (2007-2019) with available EuroQol-5D (EQ-5D-3L) data.

RESULTS

Of 47,895 included patients, 42,813 were treated with OGLDs + lifestyle modifications (LSM) and 5,082 with LSM only. Among those treated with OGLDs, 60% received sulphonylureas (SUs), of whom 47% received gliclazide. The OGLD + LSM group had a lower mean EQ-5D-3L index score than the LSM-only group (p < 0.001). The most affected EQ-5D-3L dimensions in OGLD + LSM-treated patients were pain/discomfort (26.2%) and anxiety/depression (22.6%). On multivariate analysis, good HRQoL was positively associated with male sex, education level, balanced diet and regular exercise, and negatively with complications/comorbidities, self-reported hypoglycaemia, smoking, HbA1c, age, body mass index and disease duration. Patients receiving gliclazide vs non-gliclazide SUs had lower HbA1c and better HRQoL in all dimensions (p < 0.001).

CONCLUSIONS

Demographic, physical and psychosocial-behavioural factors were associated with HRQoL in patients with T2DM. Our real-world data add to previous evidence that gliclazide is an effective OGLD, with most treated patients reporting good HRQoL. A plain language summary of this manuscript is available here.

Depression Following Acute Coronary Syndrome: A Review

Depression is common among patients with acute coronary syndrome (ACS). Although multiple studies have confirmed that depression is an independent risk factor for poor outcomes in ACS, general awareness of this issue is still limited. Ongoing research has described detailed aspects of depression in ACS, with various mechanistic hypotheses put forward to explain the complexity of this comorbidity. Several investigations have explored management strategies in this subgroup of patients, including screening for depression, antidepressant treatment, and cardiac rehabilitation. However, evidence of long-term improvement in clinical outcomes is still scarce, and a more comprehensive understanding of the underlying mechanisms that link depression with ACS is required to further improve disease management.

Depressive symptoms decrease health-related quality of life of patients with coronary artery disease and diabetes: a 12-month follow up study in primary care

OBJECTIVE

Health-related quality of life (HRQoL) is a multidimensional patient-related outcome. Less is known about the role of depressive symptoms on HRQoL in chronic diseases. This follow-up study analyzed depressive symptoms' association with HRQoL change measured with 15D in patients with chronic diseases.

DESIGN AND SETTING

A total of 587 patients from the Siilinjärvi Health Center, Finland were followed up due to the treatment of hypertension (HA), coronary artery disease (CAD) or diabetes (DM). Depressive symptoms were based on Beck Depression Inventory (BDI) (BDI ≥10 =depressive symptoms). HRQoL was assessed at the baseline and after 12 months.

RESULTS

There were 244 patients with HA (mean age 70 years, 59% women); 103 patients (72 years, 38%) with CAD and 240 with DM (67 years, 52%). The change from baseline to the 12-month follow-up in 15D was significantly different between patients without and with depressive symptoms in CAD (p < 0.001) and DM (p = 0.024). In CAD with depressive symptoms, the change was -0.064 (95% CI: -0.094 to -0.035) and in DM -0.018 (95% CI: -0.037 to 0.001). In the 15 HRQoL dimensions of 15D, a depressive symptoms-related decrease was found in three dimensions with HA, in 9 with CAD and in 7 with DM. As a function of the BDI at baseline, the 15D score decreased significantly among patients with CAD and DM.

CONCLUSIONS

Depressive symptoms impact negatively on future HRQoL among primary care patients with coronary artery disease and diabetes emphasizing that mood should be acknowledged in their care and follow-up.

TRIAL REGISTRATION

Clinical Trials registration number: NCT02992431, registered December 14th 2016.

State-Specific Prevalence of Depression Among Adults With and Without Diabetes - United States, 2011-2019

INTRODUCTION

In 2019 among US adults, 1 in 9 had diagnosed diabetes and 1 in 5 had diagnosed depression. Since these conditions frequently coexist, compounding their health and economic burden, we examined state-specific trends in depression prevalence among US adults with and without diagnosed diabetes.

METHODS

We used data from the 2011 through 2019 Behavioral Risk Factor Surveillance System to evaluate self-reported diabetes and depression prevalence. Joinpoint regression estimated state-level trends in depression prevalence by diabetes status.

RESULTS

In 2019, the overall prevalence of depression in US adults with and without diabetes was 29.2% (95% CI, 27.8%-30.6%) and 17.9% (95% CI, 17.6%-18.1%), respectively. From 2011 to 2019, the depression prevalence was relatively stable for adults with diabetes (28.6% versus 29.2%) but increased for those without diabetes from 15.5% to 17.9% (average annual percent change [APC] over the 9-year period = 1.6%, P = .015). The prevalence of depression was consistently more than 10 percentage points higher among adults with diabetes than those without diabetes. The APC showed a significant increase in some states (Illinois: 5.9%, Kansas: 3.5%) and a significant decrease in others (Arizona: -5.1%, Florida: -4.0%, Colorado: -3.4%, Washington: -0.9%). In 2019, although it varied by state, the depression prevalence among adults with diabetes was highest in states with a higher diabetes burden such as Kentucky (47.9%), West Virginia (47.0%), and Maine (41.5%).

CONCLUSION

US adults with diabetes are more likely to report prevalent depression compared with adults without diabetes. These findings highlight the importance of screening and monitoring for depression as a potential complication among adults with diabetes.

Higher metabolic variability increases the risk of depressive disorder in type 2 diabetes mellitus: a longitudinal nationwide cohort study

BACKGROUND AND OBJECTIVES

While variabilities in metabolic parameters (METv) have been linked to adverse health outcomes in type 2 DM, their association with depression is yet to be studied. This research aimed to investigate the association between METv and depressive disorder in patients with type 2 DM.

METHODS

The study involved a nationwide cohort of 1,119,631 type 2 DM patients who had undergone three or more serial health examinations between 2005 and 2012. At each visit, body mass index (BMI), fasting glucose (FG), systolic blood pressure (BP), and total cholesterol (TC) were measured and stratified into quartiles, with Q4 being the highest and Q1 the lowest. The risk of depressive disorder was evaluated using Cox proportional hazard regression models, which accounted for METs in the indexes, after adjusting for sex, income status, lifestyle habits, medical comorbidities, DM severity, and baseline levels of BMI, FG, BP, and TC.

RESULTS

During a mean follow-up period of 6.00 ± 2.42 years, 239,477 (21.4%) cases of type 2 DM patients developed depressive disorder. The risk of developing depressive disorder was gradually increased as the number of METv increased (HR 1.18; 95% CI 1.13, 1.23 for the group with the highest METv in all parameters compared to those with the lowest METv in all parameters). In the subgroup analysis, the risk of developing depressive disorder was 43% higher in men (HR 1.43; 95% CI 1.34, 1.51), and 31% higher in those younger than 65 years of age (HR 1.31; 95% CI 1.23, 1.39) in the group with the highest number of METv compared to the group with the lowest number of METv.

CONCLUSION

In type 2 DM, higher METv was an independent risk factor for depressive disorder. This risk is notably elevated in men and individuals under the age of 65 years.

The evaluation of cognitive-behavioral therapy-based intervention on type 2 diabetes patients with comorbid metabolic syndrome: a randomized controlled trial

BACKGROUND

Cognitive behavior therapy (CBT) has been applied in intervention research in diabetes patients with satisfying results. However, there was no research on type 2 diabetes (T2DM) patients with comorbidities. This study aimed to investigate the effectiveness of CBT on psychological variables, behavior variables, quality of life, sleep quality, and physical variables among adult T2DM patients with comorbid metabolic syndrome (MS).

METHODS

281 patients aged 18-75 years were recruited from Ningbo First Hospital in China from October 2021 to March 2022. Patients were randomized to the intervention group (IG, N = 148) or control group (CG, N = 133). Patients in the IG received 12 CBT-based sessions during a six-month intervention time. Patients in the CG received the usual care only. Univariate General Linear Model was used to analyze the effect of CBT-based interventions. The analysis was conducted by SPSS Version 28.

RESULTS

Results indicated that CBT-based intervention was superior in the following aspects: relieving depression symptoms: IG (4.11 ± 4.35 vs. 1.99 ± 2.12), CG (3.40 ± 3.26 vs. 2.32 ± 1.88), interaction effect (F = 4.074, P = 0.044); enhancing diabetes self-care behaviors: IG (26.79 ± 12.18 vs. 37.49 ± 10.83), CG (25.82 ± 13.71 vs. 31.96 ± 11.72), interaction effect (F = 5.242, P = 0.022); promoting the efficacy of CBT: IG (47.45 ± 6.83 vs. 50.76 ± 4.98), CG (46.74 ± 6.94 vs. 47.87 ± 5.11), interaction effect (F = 5.198, P = 0.023); improving subjective sleep quality: IG (0.93 ± 0.68 vs. 0.69 ± 0.63), CG (1.03 ± 0.72 vs. 1.01 ± 0.68), interaction effect (F = 3.927, P = 0.048).

CONCLUSIONS

The CBT-based intervention was beneficial in improving depression symptoms, diabetes self-care behaviors, the efficacy of CBT, and sleep quality in T2DM patients with comorbid MS. The downtrend of body mass index, systolic blood pressure, diastolic pressure, and glycated hemoglobin was larger in the intervention group but not to a significant level.

TRIAL REGISTRATION

This study has been prospectively registered at Australia New Zealand Clinical Trials Registry (Registration ID: ACTRN12621001348842 website: https://www.anzctr.org.au/trial/MyTrial.aspx ).

Prevalence of depression and association with all-cause and cardiovascular mortality among individuals with type 2 diabetes: a cohort study based on NHANES 2005-2018 data

BACKGROUND

Individuals with diabetes have increased risk of depression, but there are limited nationally representative studies on this topic. We aimed to investigate the prevalence and predictors of depression, as well as its impact on all-cause and cardiovascular mortality in adults with type 2 diabetes (T2DM) using a prospective cohort study and a representative sample of the U.S.

POPULATION

METHODS

We analyzed National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018 and linked it with the most recent publicly available National Death Index (NDI) data. Individuals aged 20 years or old who had depression measurements were included. Depression was defined as a Patient Health Questionnaire (PHQ-9) score ≥ 10, and categorized into moderate (10-14 points) and moderately severe to severe (≥ 15 points). Cox proportional hazard models were used to estimate the association between depression and mortality.

RESULTS

Among 5695 participants with T2DM, 11.6% had depression. Depression was associated with female gender, younger age, overweight, lower education, being unmarried, smoking, and a history of coronary heart disease and stroke. During a mean follow-up period of 78.2 months, 1161 all-cause deaths occurred. Total depression and moderately severe to severe depression significantly increased all-cause mortality (adjusted hazard ratio [aHR] 1.36, 95% CI [1.09-1.70]; 1.67 [1.19-2.34]) and non-cardiovascular mortality (aHR 1.36, 95% CI [1.04-1.78]; 1.78, 95% CI [1.20-2.64]), but not cardiovascular mortality. Subgroup analysis showed a significant association between total depression and all-cause mortality in males (aHR 1.46, 95% CI [1.08-1.98]) and those aged 60 years or older (aHR 1.35, 95% CI [1.02-1.78]). Any severity of depression was not significantly associated with cardiovascular mortality in age- or gender- stratified subgroups.

CONCLUSIONS

In a nationally representative sample of U.S. adults with T2DM, approximately 10% experienced depression. Depression did not significantly associate with cardiovascular mortality. However, comorbid depression in T2DM patients increased the risk of all-cause and non-cardiovascular mortality. The impact of depression on mortality varied across subgroups. Therefore, healthcare providers should consider incorporating depression screening and management into routine care, especially for subgroups with specific risk factors, due to the increased risk of all-cause mortality in T2DM patients with depression.

Impact of a diabetes pay-for-performance program on nonincentivized mental disorders: a panel study based on claims database analysis

BACKGROUND

Diabetes is one of the most prevalent chronic diseases with subsequent complications. The positive effects of diabetes pay-for-performance (P4P) programs on treatment outcomes have been reported. The program provides financial incentives based on physiological care indicators, but common mental disorder complications such as depression are not covered.

METHODS

This study employed a natural experimental design to examine the spillover effects of diabetes P4P program on patients with nonincentivized depressive symptoms. The intervention group consisted of diabetes patients enrolled in the DM P4P program from 2010 to 2015. Unenrolled patients were selected by propensity score matching to form the comparison group. Difference-in-differences analyses were conducted to evaluate the effects of P4P programs. We employed generalized estimating equation (GEE) models, difference-in-differences analyses and difference-in-difference-in-differences analyses to evaluate the net effect of diabetes P4P programs. Changes in medical expenses (outpatient and total health care costs) over time were analysed for the treatment and comparison groups.

RESULTS

The results showed that enrolled patients had a higher incidence of depressive symptoms than unenrolled patients. The outpatient and total care expenses of diabetes patients with depressive symptoms were lower in the intervention group than in the comparison group. Diabetes patients with depressive symptoms enrolled in the DM P4P program had lower expenses for depression-related care than those not enrolled in the program.

CONCLUSIONS

The DM P4P program benefits diabetes patients by screening for depressive symptoms and lowering accompanying health care expenses. These positive spillover effects may be an important aspect of physical and mental health in patients with chronic disease enrolled in disease management programs while contributing to the control of health care expenses for chronic diseases.

Diabetes distress in a Medicaid sample: The role of psychosocial and health-related factors

AIMS

Diabetes-related distress can negatively affect disease management leading to worse complications, especially among marginalized populations. Prior studies mostly focus on distress' impact on diabetes outcomes, with few examining distress predictors. The current study examined the impact of social needs on distress on its own and after controlling for other socio-demographic, psychosocial, and health factors.

METHODS

Adult Medicaid beneficiaries with type 2 diabetes and a recent HbA1c test documented in claims data (<120 days) were recruited for a 12-month social needs intervention trial. Baseline survey data assessed diabetes distress, social needs, psychosocial factors and health factors. Descriptive statistics were obtained, and bivariate and multivariable logistic regression analyses were used to identify predictors of moderate to severe distress.

RESULTS

Bivariate analyses revealed social needs, stress, depression, comorbidity and comorbidity burden, poor self-rated health, insulin use, a self-reported HbA1c ≥ 9.0, and difficulty remembering to take diabetes medications were all positively associated with greater odds of diabetes distress; greater social support, diabetes self-efficacy, and age were negatively associated. Four variables remained significant in the multivariate model: depression, diabetes self-efficacy, self-reported HbA1c ≥ 9.0, and younger age.

CONCLUSIONS

Targeted distress screening efforts might prioritize people with HbA1c values >9.0, greater depression, and worse diabetes self-efficacy.

Association between mental health and self-care behavior among older adults with diabetes according to Behavioral Risk Factor Surveillance System 2019

AIM

To assess the association of mental health burden with diabetes-related self-care behaviors and healthcare utilization among older adults.

METHOD

This cross-sectional 2019 Behavioral Risk Factor Surveillance System (BRFSS) study included ≥ 65 years old adults with self-reported diabetes. Three groups were used based on the number of days in the past month affected by mental health: 0 days (no burden), 1-13 days (occasional burden), and 14-30 days (frequent burden). Primary outcome was performing ≥ 3 of 5 diabetes-related self-care behaviors. Secondary outcome was performing ≥ 3 of 5 healthcare utilization behaviors. Multivariable logistic regression was used in Stata/SE 15.1.

RESULTS

Of 14,217 included individuals, 10.2 % reported frequent mental health burden. Compared to 'no burden', 'occasional' and 'frequent burden' groups included more female, obese, not married persons with younger age of diabetes diagnosis, and reported more comorbidities, insulin use, cost-related barriers to see doctors, and diabetes-related eye issues (p < 0.05). 'Occasional/frequent burden' groups reported less self-care and healthcare utilization behaviors, except 30 % higher healthcare utilization was observed in the 'occasional burden' group compared to no burden (aOR 1.30, 95 %CI 1.08-1.58, p = 0.006).

CONCLUSIONS

Overall, mental health burden was associated with reduced participation in diabetes-related self-care and healthcare utilization behaviors in a stepwise manner, except occasional burden was associated with higher healthcare utilization.

Effectiveness of physical activity in managing co-morbid depression in adults with type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Physical activity may be effective in alleviating depressive symptoms and improving glycaemic control; however, evidence to guide practice is limited. The current review was conducted to assess the effects of physical activity on depression and glycaemic control in people with type 2 diabetes mellitus.

METHODS

Randomized controlled clinical trials, from the earliest record to October 2021, which recruited adults with the diagnosis of type 2 diabetes mellitus and compared physical activity with no interventions or usual care for the management of depression were included. The outcomes were change in depression severity and glycaemic control.

RESULTS

In 17 trials, including 1362 participants, physical activity was effective in reducing the severity of depressive symptoms (SMD = -057; 95%CI = -0.80, -0.34). However, physical activity did not have a significant effect in improving markers of glycaemic control (SMD = -0.18; 95%CI = -0.46, 0.10).

LIMITATIONS

There was substantial heterogeneity in the included studies. Furthermore, risk of bias assessment showed that most of the included studies were of low quality.

CONCLUSIONS

Physical activity can effectively reduce the severity of depressive symptoms, nonetheless, it appears that physical activity is not significantly effective in improving glycaemic control in adults who have both type 2 diabetes mellitus and depressive symptoms. The latter finding is surprising, however, given the limited evidence on which this is based, future research on the effectiveness of physical activity for depression in this population should include high quality trials with glycaemic control as an outcome.

Cost-Effectiveness of Semaglutide vs. Empagliflozin, Canagliflozin, and Sitagliptin for Treatment of Patients with Type 2 Diabetes in Denmark: A Decision-Analytic Modelling Study

OBJECTIVE

The aim was to evaluate the cost-effectiveness of oral and subcutaneous semaglutide versus other oral glucose-lowering drugs (i.e., empagliflozin, canagliflozin, and sitagliptin) for the management of type 2 diabetes (T2D) in Denmark using clinically relevant treatment intensification rules.

METHODS

A Markov-type cohort model for evaluating the cost-effectiveness of treatment pathways for T2D was used to produce cost-effectiveness estimates based on four head-to-head trials. Evidence from PIONEER 2 and 3 trials was used to evaluate the cost-effectiveness of oral semaglutide vs. empagliflozin and sitagliptin. Evidence from SUSTAIN 2 and 8 trials was used to evaluate the cost-effectiveness of subcutaneous semaglutide vs. sitagliptin and canagliflozin. Base case analyses used trial product estimands of treatment efficacy to avoid the confounding effects of rescue medication use during trials. Deterministic scenario analyses and probabilistic sensitivity analyses were conducted to assess robustness of cost-effectiveness estimates.

RESULTS

Semaglutide-based treatment regimens were consistently associated with higher lifetime diabetes treatment costs, lower costs of complications, and higher lifetime accumulated QALYs. The PIONEER 2 analysis estimated the cost-effectiveness of oral semaglutide vs. empagliflozin was DKK 150,618/QALY (€20,189). The PIONEER 3 analysis estimated the cost-effectiveness of oral semaglutide vs. sitagliptin was DKK 95,093/QALY (€12,746). The SUSTAIN 2 analysis estimated the cost-effectiveness of subcutaneous semaglutide vs. sitagliptin was DKK 79,982/QALY (€10,721). The SUSTAIN 8 analysis estimated the cost-effectiveness of subcutaneous semaglutide vs. canagliflozin was DKK 167,664/QALY (€22,474).

CONCLUSIONS

Daily oral and weekly subcutaneous semaglutide are likely to both increase cost and health benefits, but are likely to do so under commonly considered cost-effectiveness thresholds.

TRIAL REGISTRATIONS

Clinicaltrials.gov: NCT02863328 (PIONEER 2; registered August 11, 2016); NCT02607865 (PIONEER 3; registered November 18, 2015); NCT01930188 (SUSTAIN 2; registered August 28, 2013); NCT03136484 (SUSTAIN 8; registered May 2, 2017).