The affective and somatic side of depression: subtypes of depressive symptoms show diametrically opposed associations with glycemic control in people with type 1 diabetes

Efficacy and Safety of Antidiabetic Agents for Major Depressive Disorder and Bipolar Depression: A Meta-Analysis of Randomized, Double-Blind, Placebo-Controlled Trials

BACKGROUND

This meta-analysis aimed to determine the efficacy and safety of antidiabetic agents in the treatment of major depressive disorder and bipolar depression.

METHODS

Randomized controlled trials (RCTs) of antidiabetic agents in major depressive disorder or bipolar depression were searched in three electronic databases and three clinical trial registry websites from their inception up to October 2023. The differences in changes in the depression rating scale scores from baseline to endpoint or pre-defined sessions, response rate, remission rate, rate of side effects and dropout rate between antidiabetic agents and placebo were meta-analyzed.

RESULTS

Six RCTs involving 399 participants were included in the final meta-analysis, which did not find that antidiabetics outperformed the placebo in reducing depressive symptoms. The standardized mean difference (SMD) in the depression scores from baseline to endpoint was 0.25 (95% CI -0.1, 0.61). However, a subgroup analysis found a significant difference between antidiabetics and placebos in reducing depressive symptoms in Middle Eastern populations, with an SMD of 0.89 (95% CI 0.44, 1.34).

CONCLUSIONS

The current meta-analysis does not support the efficacy of antidiabetics being superior to the placebo in the treatment of unipolar and bipolar depression. However, a subgroup analysis indicates that patients from the Middle East may benefit from adding an antidiabetic medication to their ongoing medication(s) for their depression. Larger studies with good-quality study designs are warranted.

Impact of insulin and insulin resistance on brain dopamine signalling and reward processing- an underexplored mechanism in the pathophysiology of depression?

Type 2 diabetes and major depressive disorder (MDD) are the leading causes of disability worldwide and have a high comorbidity rate with fatal outcomes. Despite the long-established association between these conditions, the underlying molecular mechanisms remain unknown. Since the discovery of insulin receptors in the brain and the brain's reward system, evidence has accumulated indicating that insulin modulates dopaminergic (DA) signalling and reward behaviour. Here, we review the evidence from rodent and human studies, that insulin resistance directly alters central DA pathways, which may result in motivational deficits and depressive symptoms. Specifically, we first elaborate on the differential effects of insulin on DA signalling in the ventral tegmental area (VTA) - the primary DA source region in the midbrain - and the striatum as well as its effects on behaviour. We then focus on the alterations induced by insulin deficiency and resistance. Finally, we review the impact of insulin resistance in DA pathways in promoting depressive symptoms and anhedonia on a molecular and epidemiological level and discuss its relevance for stratified treatment strategies.

Adjusted Cutoff Scores Increase Sensitivity of Depression Screening Measures in Adolescents With Type 1 Diabetes

OBJECTIVE

To measure the acceptability and diagnostic accuracy of commonly used depression screening measures to determine ideal cutoff scores that sensitively identify depressive disorders in adolescents with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

One hundred adolescents (12-17 years old) completed a reference standard, semistructured diagnostic interview and both long and short versions of five commonly used depression screening measures in the United States. To assess feasibility and acceptability, we used screener completion time and participant ratings, respectively. We used descriptive statistics, area under the receiver operating characteristic (ROC) curve analyses, and paired-sample area differences under the ROC curve to assess each measure's diagnostic validity against our reference standard and to determine ideal cutoff scores for this sample.

RESULTS

Adolescents had a mean age of 15.0 ± 1.7 years, time since T1D diagnosis of 6.0 ± 4.1 years, and glycated hemoglobin (HbA1c) of 8.9 ± 1.8%. Sixty percent of adolescents were male, 15% endorsed a current depressive disorder, and 15% endorsed lifetime suicidality. Measures demonstrated low sensitivity (0.33-0.67) to detect current depressive disorders using preexisting cutoff scores. However, adjusted cutoff scores increased sensitivity and reduced false negatives. All depression screening measures demonstrated "good" to "excellent" predictive validity, and the Children's Depression Inventory-2 Short version demonstrated significantly greater diagnostic accuracy than the Patient Health Questionnare-2 item version for adolescents.

CONCLUSIONS

Clinics should consider using screening measures with the greatest diagnostic accuracy as identified in this study and adjusting measure cutoff scores to increase sensitivity and reduce false negatives.

A Pathophysiological Intersection of Diabetes and Alzheimer's Disease

Diabetes is among the most prevalent diseases of the modern world and is strongly linked to an increased risk of numerous neurodegenerative disorders, although the exact pathophysiological mechanisms are not clear yet. Insulin resistance is a serious pathological condition, connecting type 2 diabetes, metabolic syndrome, and obesity. Recently, insulin resistance has been proven to be connected also to cognitive decline and dementias, including the most prevalent form, Alzheimer's disease. The relationship between diabetes and Alzheimer's disease regarding pathophysiology is so significant that it has been proposed that some presentations of the condition could be termed type 3 diabetes.

Sleep and depressive symptoms in adolescents with type 1 diabetes not meeting glycemic targets

AIMS

Adolescents with type 1 diabetes (T1D) are at risk for problems with self-management and suboptimal glycemic control, and depressive symptoms and sleep disturbances predict poorer diabetes outcomes. Despite evidence for associations between adolescent depressive symptoms and sleep in the general population, few studies have investigated this link in the vulnerable group of adolescents with T1D not meeting glycemic targets. The current study sought to assess both depressive symptoms and sleep in relation to diabetes indicators in adolescents with T1D.

METHODS

120 adolescents (ages 13-17 years) with above target glycemic control completed measures of depressive symptoms, sleep duration and quality, and self-management; parents also reported on adolescents' diabetes management. Clinical data (i.e., HbA1c) were extracted from medical records.

RESULTS

In our sample, 40% of adolescents reported at least mild depressive symptoms, and 26% reported clinically significant sleep disturbances. Adolescents with sleep disturbances were more likely to report at least mild symptoms of depression, and both depressive symptoms and sleep quality were associated with poorer diabetes management. No significant differences emerged regarding HbA1c or frequency of blood glucose monitoring.

CONCLUSIONS

The current findings highlight the importance of clinical assessment of both depressive symptoms and sleep in the vulnerable group of adolescents with T1D.

Association between diabetes and mood disorders and the potential use of anti-hyperglycemic agents as antidepressants

Epidemiological and mechanistic studies support the association between Diabetes Mellitus and mood disorders, such as Major Depressive Disorder and Bipolar Disorder. This association is especially relevant in specific domains of depressive psychopathology, such as disturbances in reward systems and cognitive functions. Several anti-hyperglycemic agents have demonstrated effects on depressive symptoms and cognitive decline and this efficacy is probably the result of an action in shared brain targets between these two groups of conditions. These medications include subcutaneous insulin, intranasal insulin, metformin, and liraglutide. The study of the mechanisms involved in the relationship between Diabetes Mellitus and mood disorders offers a new avenue of investigation, and this understanding can be applied when examining whether antidiabetic agents can be repurposed as antidepressants and mood stabilizers. The objective of this narrative review is to critically appraise the literature surrounding drugs commonly used as anti-hyperglycemic agents and their effects on the brain, while discussing their potential as a new treatment for mental illnesses, and specifically, mood disorders.

Differences in the cluster of depressive symptoms between subjects with type 2 diabetes and individuals with a major depressive disorder and without diabetes

BACKGROUND

Depressive disorder encompasses a wide spectrum of somatic and psychological symptoms. It is not known whether there are differences regarding the cluster of depressive symptomatology between subjects with depression with and without T2DM.

PURPOSE

To explore whether the cluster of depression that prevails among depressive subjects with T2DM differs from individuals with depression, but without T2DM.

METHODS

87 T2DM patients with a pathological Beck Depression Inventory test (BDI) were compared with 50 age- and gender-matched individuals with a major depressive disorder. All 21 items expressed in the BDI were compared between the two groups.

RESULTS

The score obtained after administering the BDI was comparable between patients with T2DM and significant depressive symptoms and the control group (18.8 ± 2.7 vs 18.9 ± 3.4; p = 0.9). Subjects with T2DM had higher scores compared with the control group in the following items: sadness (1.4 ± 0.9 vs 0.9 ± 0.9; p = 0.011), difficulty in concentration (1.3 ± 0.8 vs 0.8 ± 0.8; p = 0.01), indecisiveness (1.1 ± 0.8 vs 0.5 ± 0.9; p = 0.012), worries about their health (1.3 ± 0.9 vs 0.6 ± 0.9; p < 0.0001), fatigue (1.2 ± 0.6 vs 0.8 ± 0.7; p = 0.003) and loss of sexual appetite (2.7 ± 0.6 vs 1.2 ± 1.3; p = 0.0001). Suicidal ideation was significantly lower among subjects with T2DM compared with the control group (0.1 ± 0.3 vs 0.6 ± 0.8; p = 0.0001).

CONCLUSIONS

Subjects with T2DM and a positive screening for depression presented a different cluster of depression compared with depressed subjects without T2DM, with a predominance of somatic-biological depressive symptoms rather than psychological-cognitive cluster and negative emotions, such as suicidal ideation.

Longitudinal Changes in Depression Symptoms and Glycemia in Adults With Type 1 Diabetes

OBJECTIVE

This study assessed longitudinal change in depression symptoms over ≥4 years in adults with type 1 diabetes and examined the association between change in depression symptom status and glycemia.

RESEARCH DESIGN AND METHODS

Adults in the T1D Exchange registry with HbA_1c and Patient Health Questionnaire (PHQ-8) at 1 year (baseline) and 5 years post-enrollment (follow-up; n = 2,744, mean age, 42 years; 57% female, 92% white; mean HbA_1c, 7.6% [58 mmol/mol]) were included. Depression status was defined as Persistent Elevated Depression Symptoms (EDS) (EDS at baseline and follow-up), Resolved EDS (EDS at baseline, no EDS at follow-up), New Onset EDS (no EDS at baseline, EDS at follow-up), and Not Depressed (no EDS at baseline or follow-up).

RESULTS

Overall, 131 (5%) had Persistent EDS, 122 (4%) had Resolved EDS, 168 (6%) had New Onset EDS, and 2,323 (85%) were Not Depressed. Of those with EDS (PHQ ≥ 10) at baseline, 53% had EDS at follow-up; of those not depressed at baseline, 7% had EDS at follow-up. An increase in PHQ-8 was associated with an increase in HbA_1c (P < 0.001). Although HbA_1c increased in all groups, the increase was less in the Resolved EDS and Not Depressed groups (P = 0.001). Persistent EDS and New Onset EDS groups were more likely to experience diabetic ketoacidosis (DKA) (P < 0.001).

CONCLUSIONS

T1D Exchange registry data provide evidence for relationships over time between persistently, and newly developing EDSs and worsening glycemic control, and suggest relationships between depression symptoms and the occurrence of severe hypoglycemia and DKA. Successful treatment of depression symptoms may lead to better long-term diabetes outcomes.

Depressive symptom dimensions and medication non-adherence in suboptimally controlled type 2 diabetes

AIMS

Research suggests differential effects for somatic and cognitive-affective depressive symptoms in predicting health outcomes. This study evaluated differential relations with medication non-adherence among disadvantaged, and predominantly immigrant adults with sub-optimally controlled type 2 diabetes (T2D).

METHODS

Health plan members taking oral diabetes medication and who had A1c ≥ 7.5% were recruited for a trial of telephonic self-management support. A subset (n = 376; age, M = 55.6 ± 7.2 years; A1c M = 9.1% ± 1.6) completed the Patient Health Questionnaire-8 (PHQ-8). Diabetes medication adherence was measured by self-report and claims-based records. Multivariable logistic regression modeled depressive symptoms and odds of non-adherence using pre-intervention data.

RESULTS

A positive PHQ-8 screen (OR = 2.72 [95%CI: 1.56-4.73]) and each standard deviation increase in PHQ-8 score (OR = 1.40 [95%CI: 1.11-1.75]) were associated with non-adherence, with no independent effects for somatic versus cognitive-affective symptoms. Exploration of individual symptoms identified three significantly associated with non-adherence in covariate-adjusted models; after adjustment for likely presence of clinical depression, only fatigue was independently associated with non-adherence (OR = 1.71 [95%CI: 1.06-2.77]).

CONCLUSIONS

Findings support depression symptom severity as a significant correlate of medication non-adherence among disadvantaged adults with T2D. Support was limited for differential associations for symptom dimensions, but findings suggest that fatigue may be associated with non-adherence independent of the likely presence of depression.

Is type of depressive symptoms associated with patient-perceived need for professional psychological care in depressed individuals with diabetes?

Aims

The objective of this study is to investigate whether type of depressive symptoms (i.e. cognitive-affective or somatic) is related to a patient-perceived need for professional psychological care in individuals with diabetes.

Methods

In total 2266 participants were recruited as part of the screening procedure for a multi-center randomized controlled trial on the treatment of depressive symptoms among individuals with diabetes. Individuals were invited to complete Beck Depression Inventory-II (BDI-II). Patients with elevated depressive symptoms (BDI-II ≥14) were interviewed about their psychological care need. Based on their care needs patients were categorized into: unmet need, no need, met need and unclear need. These groups were compared on type of depressive symptoms, as categorized into cognitive-affective symptoms and somatic symptoms.

Results

568 eligible individuals had elevated depressive symptoms, of whom 519 were reached. Among these depressed individuals, 19.7% (102 of 519) had an unmet need for psychological care. Participants with an unmet need were younger (p<0.001) and had higher total depression scores compared to the group with no need (p<0.001). They also scored higher on cognitive-affective symptoms (p<0.001), whereas somatic symptoms did not significantly differ (p = 0.232). Logistic regression revealed that cognitive-affective symptoms predicted an unmet need (p = 0.001). However, overall predictive capacity of type of depressive symptoms on care needs was weak.

Conclusions

Cognitive-affective symptoms of depression—but not somatic symptoms—were associated with an unmet need for psychological care among depressed individuals with diabetes. Future research is needed to reveal better predictors explaining the discrepancy between distress and low care needs in order to optimize screening procedures.

Prevalence and predictors of depression and anxiety in adult patients with type 1 diabetes in tertiary care setting

AIMS

To determine gender and age differences in the prevalence of depression and anxiety and their predictive factors in adult patients with type 1 diabetes (DM1).

METHODS

Random sample of DM1 adult patients from a tertiary care hospital cohort. To evaluate the presence of depression and anxiety, psychological evaluation was performed using structured clinical interview (MINI). For the specific evaluation of fear of hypoglycemia (FH), FH-15 questionnaire was used.

RESULTS

339 patients [51.6% male; 38.5 ± 12.9 years; HbA_1c 7.5 ± 1.1% (58.5 ± 14.2 mmol/mol); 20.1 ± 12.0 years of DM1] met the inclusion criteria. Prevalence of depression, anxiety, and FH in men vs. women was as follows (%): depression: 15.4 vs. 33.5 (p < 0.05); anxiety: 13.7 vs. 26.2 (p < 0.05); and FH: 42.8 vs. 46.0 (p = NS). Among midlife female patients, prevalence of depression and anxiety was higher compared to male. Moreover, comorbid depressive and anxious symptoms were also higher in midlife female patients compared to age-matched male patients (3.5 vs. 14%, p < 0.05). Apart from age-related vulnerability, female gender, poor glycemic control, and microvascular and macrovascular complications were predictive factors for depressive and anxious symptomatology. Unawareness hypoglycemia and anxiety-prone personality were predictor factors for FH.

CONCLUSIONS

In adults with DM1, prevalence of depression and anxiety is higher in women. Midlife patients, in particular women, show a significantly higher prevalence of anxiety symptoms and comorbid depression and anxiety. The presence of secondary complications and sustained poor glycemic control should alert to the possibility of these mental disorders, especially in the most vulnerable age population; clinical, gender and age-related patterns could help to design more effective psychological assessment and support in adult patients with DM1.

Sex differences in the association of psychological status with measures of physical activity and sedentary behaviour in adults with type 2 diabetes

AIM

To assess the association of psychological variables on leisure-time physical activity and sedentary time in men and women with type 2 diabetes mellitus (T2D).

METHODS

In this cross-sectional study, we evaluated 163 patients with T2D, consecutively recruited at the Diabetes Centre of the Verona General Hospital. Scores on depression and anxiety symptoms, psychosocial factors (including self-efficacy, perceived interference, perceived severity, social support, misguided support behaviour, spouse's positive behaviour), physical activity and time spent sitting were ascertained using questionnaires responses to the Beck Depression Inventory-II, Beck Anxiety Inventory, Multidimensional Diabetes Questionnaire, International Physical Activity Questionnaire.

RESULTS

Physical activity was significantly associated with higher social support in women and with increased self-efficacy in men. Sedentary time was significantly associated with higher perceived interference, anxiety and depressive symptoms, and with reduced diabetes self-efficacy in women, while it was associated solely with anxiety in men. Depressive symptoms and self-efficacy in women and anxiety symptoms in men were independent predictors of sedentary time when entered in a multivariable regression model also including age, BMI, haemoglobin A1c, diabetes duration, perceived interference and self-efficacy as covariates.

CONCLUSIONS

Lower self-efficacy and higher symptoms of depression were closely associated with increased sedentary time in women, but not in men, with T2D. It is possible that individualized behavioural interventions designed to reduce depressive symptoms and to improve diabetes self-efficacy would ultimately reduce sedentary behaviours, particularly in women with T2D.