Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment

Risk of Diabetes in Older Adults with Co-Occurring Depressive Symptoms and Cardiometabolic Abnormalities: Prospective Analysis from the English Longitudinal Study of Ageing

High depressive symptoms and cardiometabolic abnormalities are independently associated with an increased risk of diabetes. The purpose of this study was to assess the association of co-occurring depressive symptoms and cardiometabolic abnormalities on risk of diabetes in a representative sample of the English population aged 50 years and older. Data were from the English Longitudinal Study of Ageing. The sample comprised of 4454 participants without diabetes at baseline. High depressive symptoms were based on a score of 4 or more on the 8-item binary Centre for Epidemiologic Studies–Depression scale. Cardiometabolic abnormalities were defined as 3 or more cardiometabolic risk factors (hypertension, impaired glycemic control, systemic inflammation, low high-density lipoprotein cholesterol, high triglycerides, and central obesity). Cox proportional hazards regressions assessed the association between co-occurring depressive symptoms and cardiometabolic abnormalities with incidence of diabetes. Multiple imputation by chained equations was performed to account for missing data. Covariates included age, sex, education, income, smoking status, physical activity, alcohol consumption, and cardiovascular comorbidity. The follow-up period consisted of 106 months, during which 193 participants reported a diagnosis of diabetes. Diabetes incidence rates were compared across the following four groups: 1) no or low depressive symptoms and no cardiometabolic abnormalities (reference group, n = 2717); 2) high depressive symptoms only (n = 338); 3) cardiometabolic abnormalities only (n = 1180); and 4) high depressive symptoms and cardiometabolic abnormalities (n = 219). Compared to the reference group, the hazard ratio for diabetes was 1.29 (95% CI 0.63, 2.64) for those with high depressive symptoms only, 3.88 (95% CI 2.77, 5.44) for those with cardiometabolic abnormalities only, and 5.56 (95% CI 3.45, 8.94) for those with both high depressive symptoms and cardiometabolic abnormalities, after adjusting for socio-demographic, lifestyle and clinical variables. These findings suggest that those with high depressive symptoms and cardiometabolic abnormalities are at a particularly increased risk of type 2 diabetes.

Depressive symptoms are associated with higher rates of readmission or mortality after medical hospitalization: A systematic review and meta-analysis

Depressive symptoms during a medical hospitalization may be an overlooked prognostic factor for adverse events postdischarge. Our aim was to evaluate whether depressive symptoms predict 30-day readmission or death after medical hospitalization. We conducted a systematic review of studies that compared postdischarge outcomes by in-hospital depressive status. We assessed study quality and pooled published and unpublished data using random effects models. Overall, one-third of 6104 patients discharged from medical wards were depressed (interquartile range, 27%-40%). Compared to inpatients without depression, those discharged with depressive symptoms were more likely to be readmitted (20.4% vs 13.7%, risk ratio [RR]: 1.73, 95% confidence interval [CI]: 1.16-2.58) or die (2.8% vs 1.5%, RR: 2.13, 95% CI: 1.31-3.44) within 30 days. Depressive symptoms were common in medical inpatients and are associated with an increased risk of adverse events postdischarge. Journal of Hospital Medicine 2016;11:373-380. © 2016 The Authors Journal of Hospital Medicine published by Wiley Periodicals, Inc. on behalf of Society of Hospital Medicine.

Sociodemographic, clinical, and psychosocial factors associated with depression among type 2 diabetic outpatients in Black Lion General Specialized Hospital, Addis Ababa, Ethiopia: a cross-sectional study

BACKGROUND

Depression is a common comorbidity among patients with type 2 diabetes. There are several reports supporting a bidirectional association between depression and type 2 diabetes. However, there is limited data from non-western countries. Therefore, the aim of this study was to assess the sociodemographic, clinical, and psychosocial factors associated with co-morbid depression among type 2 diabetic outpatients presenting to Black Lion General Specialized Hospital, Addis Ababa, Ethiopia.

METHODS

This institution based cross-sectional study design was conducted on a random sample of 276 type 2 diabetic outpatients. Type 2 diabetes patients were evaluated for depression by administering a validated nine-item Patient Health Questionnaire (PHQ-9). Risk factors for depression among type 2 diabetes patients were identified using multiple logistic regression analysis.

RESULT

In total, 264 study participants were interviewed with a response rate of 95.6%. The prevalence of depression was 44.7%. In the multivariate analysis, the statistically significant risk factors for depression were monthly family income ≤ 650 (p-value = 0.056; OR = 2.0; 95% CI = 1.01, 4.2), presence of ≥3 diabetic complications (p-value = 0.03; OR = 3.3; 95% CI = 1.1, 10.0), diabetic nephropathy (p-value = 0.01; OR = 2.9; 95% CI = 1.2, 6.7), negative life events (p-value = 0.01; OR = 2.4; 95% CI = 1.2, 4.5), and poor social support (p-value = 0.001; OR = 2.7; 95% CI = 1.5, 5.0).

CONCLUSION

This study demonstrated that depression is a common co-morbid health problem with a prevalence rate of 44.7%. The presence of diabetic complications, low monthly family income, diabetic nephropathy, negative life event, and poor social support were the statistically significant risk factors associated with depression. We presume that the burden of mental health especially depression is high in the population with type 2 diabetes mellitus co-morbidity. Therefore, specific attention is needed to diagnose early and treat promptly.

[The depressive disorders during the early rehabilitation period following preceding ischemic stroke: the possibilities for the application of the enhanced external counterpulsation method]

The authors present arguments in favour of the necessity to reveal and treat the co-morbid conditions with special reference to depressive disorders in the patients during the early rehabilitation period following preceding ischemic stroke. They demonstrate the importance of the application of non-medicamentous therapy in combination with the standard medicamental treatment. Special emphasis is placed on the analysis of the data obtained during evaluation of the effectiveness of combined therapy with the use of the enhanced external counterpulsation method in the early post-stroke period. It is concluded that the early diagnostics and timely correction of anxio-depressive conditions promotes the efficiency of rehabilitative measures and improves the quality of life of the patients with such disorders.

5HT3 receptors: Target for new antidepressant drugs

5HT3 receptors (5HT3Rs) have long been identified as a potential target for antidepressants. Several studies have reported that antagonism of 5HT3Rs produces antidepressant-like effects. However, the exact role of 5HT3Rs and the mode of antidepressant action of 5HT3R antagonists still remain a mystery. Here, we provide a comprehensive overview of 5HT3Rs: (a) regional and subcellular distribution of 5HT3Rs in discrete brain regions, (b) preclinical and clinical evidence supporting the antidepressant effect of 5HT3R antagonists, and (c) neurochemical, biological and neurocellular signaling pathways associated with the antidepressant action of 5HT3R antagonists. 5HT3Rs located on the serotonergic and other neurotransmitter interneuronal projections control their release and affect mood and emotional behavior; however, new evidence suggests that apart from modulating the neurotransmitter functions, 5HT3R antagonists have protective effects in the pathogenic events including hypothalamic-pituitary-adrenal-axis hyperactivity, brain oxidative stress and impaired neuronal plasticity, pointing to hereby unknown and novel mechanisms of their antidepressant action. Nonetheless, further investigations are warranted to establish the exact role of 5HT3Rs in depression and antidepressant action of 5HT3R antagonists.

Depression and telomere length: A meta-analysis

BACKGROUND

Several recent studies have investigated the relationship between telomere length and depression with inconsistent results. This meta-analysis examined whether telomere length and depression are associated and explored factors that might affect this association.

METHODS

Studies measuring telomere length in subjects with clinically significant unipolar depression were included. A comprehensive search strategy identified studies in PubMed, MEDLINE, PsycINFO, Global Health, The Cochrane Library, and Web of Science. A structured data abstraction form was used and studies were appraised for inclusion or exclusion using a priori conditions. Analyses were conducted using standardized mean differences in a continuous random effects model.

RESULTS

Thirty-eight studies (N=34,347) met the inclusion criteria. The association between depression and telomere length was significant, with a Cohen's d effect size of -0.205 (p<0.0001, I(2)=42%). Depression severity significantly associated with telomere length (p=0.03). Trim and fill analysis indicated the presence of publication bias (p=0.003), but that the association remained highly significant after accounting for the bias. Subgroup analysis revealed depression assessment tools, telomere measurement techniques, source tissue and comorbid medical conditions significantly affected the relationship.

LIMITATIONS

Other potentially important sub-groups, including antidepressant use, have not been investigated in sufficient detail or number yet and thus were not addressed in this meta-analysis.

CONCLUSIONS

There is a negative association between depression and telomere length. Further studies are needed to clarify potential causality underlying this association and to elucidate the biology linking depression and this cellular marker of stress exposure and aging.

Obesity and Its Potential Effects on Antidepressant Treatment Outcomes in Patients with Depressive Disorders: A Literature Review

Accumulating evidence regarding clinical, neurobiological, genetic, and environmental factors suggests a bidirectional link between obesity and depressive disorders. Although a few studies have investigated the link between obesity/excess body weight and the response to antidepressants in depressive disorders, the effect of weight on treatment response remains poorly understood. In this review, we summarized recent data regarding the relationship between the response to antidepressants and obesity/excess body weight in clinical studies of patients with depressive disorders. Although several studies indicated an association between obesity/excess body weight and poor antidepressant responses, it is difficult to draw definitive conclusions due to the variability of subject composition and methodological differences among studies. Especially, differences in sex, age and menopausal status, depressive symptom subtypes, and antidepressants administered may have caused inconsistencies in the results among studies. The relationship between obesity/excess body weight and antidepressant responses should be investigated further in high-powered studies addressing the differential effects on subject characteristics and treatment. Moreover, future research should focus on the roles of mediating factors, such as inflammatory markers and neurocognitive performance, which may alter the antidepressant treatment outcome in patients with comorbid obesity and depressive disorder.

Depression in diabetic patients attending University of Gondar Hospital Diabetic Clinic, Northwest Ethiopia

BACKGROUND

Diabetes mellitus, frequently associated with comorbid depression, contributes to the double burden of individual patients and community. Depression remains undiagnosed in as many as 50%-75% of diabetes cases. This study aimed to determine the prevalence and associated factors of depression among diabetic patients attending the University of Gondar Hospital Diabetic Clinic, Northwest Ethiopia.

METHODS

An institution-based cross-sectional study was conducted from March to May 2014 among 422 sampled diabetic patients attending the University of Gondar Hospital Diabetic Clinic. The participants were selected using systematic random sampling. Data were collected by face-to-face interview using a standardized and pretested questionnaire linked with patient record review. Depression was assessed using the Patient Health Questionnaire-9. Data were entered to EPI INFO version 7 and analyzed by SPSS version 20 software. Binary logistic regression analysis was performed to identify factors associated with depression.

RESULTS

A total of 415 diabetic patients participated in the study with a response rate of 98.3%. The prevalence of depression among diabetic patients was found to be 15.4% (95% confidence interval (CI): 11.7-19.2). Only religion (adjusted odds ratio [AOR] =2.65 and 95% CI: 1.1-6.0) and duration of diabetes (AOR =0.27 and 95% CI: 0.07-0.92) were the factors associated with depression among diabetic patients.

CONCLUSION

The prevalence of depression was low as compared to other similar studies elsewhere. Disease (diabetes) duration of 10 years and above and being a Muslim religion follower (as compared to Christian) were the factors significantly associated with depression. Early screening of depression and treating depression as a routine component of diabetes care are recommended. Further research with a large sample size, wider geographical coverage, and segregation of type of diabetes mellitus is recommended.

A novel herbal treatment reduces depressive-like behaviors and increases brain-derived neurotrophic factor levels in the brain of type 2 diabetic rats

BACKGROUND

Radix Puerariae and hawthorn fruit have been demonstrated to treat diabetes. They offer potential benefits for preventing depression in diabetes.

OBJECTIVE

The aim of this study was to investigate whether the combination of Radix Puerariae and hawthorn fruit (CRPHF) could prevent depression in a diabetic rat model generated by feeding the rats with a high-fat diet and a low-dose streptozotocin (STZ).

METHODS

The CRPHF was provided by the Shanghai Chinese Traditional Medical University. Twenty-four rats were randomly divided into four groups: normal control, normal-given-CRPHF (NC), diabetic control, and diabetic-given-CRPHF (DC) groups. The type 2 diabetic model was created by feeding the rats with a high-fat diet for 4 weeks followed by injection of 25 mg/kg STZ. CRPHF was given at 2 g/kg/d to the rats of NC and DC groups by intragastric gavage daily for 4 weeks after the type 2 diabetic model was successfully created. Body weight, random blood glucose (RBG), oral glucose tolerance test, total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured during the study. Depressive-like behavior was evaluated at the end of the treatment by using the open field test (OFT), the elevated plus-maze test (EPMT), locomotor activity test (LAT), and forced swimming test (FST). Levels of extracellular signal-regulated protein kinase (ERK) and brain-derived neurotrophic factor (BDNF) in the prefrontal cortex were evaluated by using Western blot.

RESULTS

1) CRPHF reduced RBG and improved glucose tolerance in diabetic rats; 2) CRPHF reduced TC and TG but did not significantly change HDL-C or LDL-C in diabetic rats; 3) CRPHF reversed the loss in body weights observed in diabetic rats; 4) CRPHF reduced depressive-like behavior as measured by OFT, EPMT, LAT, and FST; 5) BDNF was upregulated, and ERK was activated in the prefrontal cortex of diabetic rats treated with CRPHF.

CONCLUSION

CRPHF has the potential of preventing depression in patients with diabetes.

Relationship between diabetic nephropathy and depression: a cross-sectional analysis using the Diabetes Study from the Center of Tokyo Women's Medical University (DIACET)

OBJECTIVE

We conducted this cross-sectional study to investigate the relationship between stage of diabetic nephropathy and likelihood or severity of depression in patients with diabetes.

RESEARCH DESIGN AND METHODS

We studied 2212 patients with diabetes (mean age 60.9 years; 928 women; 1838 patients with type 2 diabetes). Presence and severity of depression was examined using the Patient Health Questionnaire-9 (PHQ-9). Patients were classified into 5 stages of nephropathy, according to albuminuria and estimated glomerular filtration rate (eGFR); patients in stage 5 undergoing dialysis and kidney transplantation were analyzed separately (stages 5D and 5T). The relationship between stage of nephropathy and depression was examined using analysis of covariance and multivariate logistic regression analysis.

RESULTS

Both least square mean PHQ-9 scores and prevalence of patients with PHQ-9 scores ≥5 points (mild depression) and ≥10 points (moderate or severe depression) increased from stage 1 to 5D, and then declined in stage 5T. Multivariate ORs for mild or greater depression increased in patients in stages 3, 4, and 5D in reference to those in stage 1, which declined in patients in stage 5T. Albuminuria was significantly, but eGFR was not, associated with higher PHQ-9 scores and the PHQ-9 scores ≥5 or ≥10 after adjustment for clinical findings.

CONCLUSIONS

In patients with diabetes, progression of nephropathy is likely to be associated with increased risk and severity of depression, which may be reduced after successful kidney transplantation. Albuminuria may be more strongly associated with depression than eGFR.

Positive association between serious psychiatric outcomes and complications of diabetes mellitus in patients with depressive disorders

OBJECTIVES

Depression and diabetes are closely biologically and behaviorally intertwined. We examined the impact of comorbid diabetes mellitus on the incidence of serious psychiatric outcomes among patients with depression.

METHODS

We used claims data from the Korean Health Insurance Review & Assessment Service database of patients who were diagnosed with depression within one year of an index prescription for antidepressants between January 2007 and June 2008. We investigated the association between the comorbidity of diabetes mellitus and serious psychiatric outcomes of depression, such as psychiatric hospitalization, psychiatric emergency room visits, and suicide attempts.

RESULTS

Among 200,936 patients with depression, 74,160 (36.9%) had diabetes mellitus, including 57,418 (28.6%) with complications. The incidence of serious psychiatric outcomes was 3.3% in patients with depression without diabetes and 6.7% in patients with depression and diabetes mellitus. Patients with depression and diabetes mellitus complications showed higher rates of serious outcomes than that did those without diabetes mellitus complications (odds ratio, 1.19; 95% confidence interval, 1.11-1.13). Similarly, depressed patients with micro and macrovascular diabetic complications were more likely to experience serious outcomes than those without diabetes mellitus complications (odds ratio, 2.2; 95% confidence interval, 2.07-2.34).

CONCLUSIONS

Our results showed that comorbid diabetes mellitus can increase the risk of serious outcomes of depression, such as suicide and hospitalization, and thus may alter the antidepressants prescription patterns and healthcare service use among patients with depressive disorders.

Flourishing: American Indian Positive Mental Health

Positive mental health (PMH) is an important construct for understanding the full continuum of mental health. Some socially disadvantaged populations experience a paradoxically high level of PMH despite negative social experiences including discrimination. The purpose of this study is to examine the prevalence and culturally salient correlates of PMH among a cross-sectional sample of 218 American Indian adults living with type 2 diabetes mellitus. Although 17.1 percent of individuals in this sample met Patient Health Questionnaire (PHQ-9) criteria for depression, 51.5 percent were in flourishing PMH. Perceived discrimination was negatively associated with PMH, and participation in traditional cultural activities was positively associated with PMH. Traditional cultural activities did not appear to buffer the impact of discrimination on PMH. This study contributes to strengths-based research with American Indian communities, furthers our understanding of correlates of PMH, and documents comparatively high rates of flourishing mental health in our sample relative to previously published studies with diverse samples.

Association Between Specific Depression Symptoms and Glycemic Control Among Patients With Comorbid Type 2 Diabetes and Provisional Depression

OBJECTIVE

To determine whether specific depression symptoms are associated with glycemic control independent of potential demographic and clinical covariates among primary care patients with comorbid type 2 diabetes and provisional threshold or subthreshold depression.

METHOD

We examined a convenience sample of patients diagnosed with type 2 diabetes and provisional threshold or subthreshold depression (N = 82) at 2 family health centers. Cases were identified using a population-based registry of patients diagnosed with type 2 diabetes (ICD-9 codes 250.00 for controlled type 2 diabetes and 250.02 for uncontrolled type 2 diabetes). Data from patients with a primary care provider appointment from the beginning of April 2011 through the end of June 2012 and with at least one 9-item Patient Health Questionnaire (PHQ-9) depression screener and a glycated hemoglobin A1c (HbA1c) laboratory test between 2 weeks before and 10 weeks after PHQ-9 screening were eligible for inclusion. We defined provisional threshold or subthreshold depression using PHQ-9 scoring criteria, which were designed to yield provisional diagnostic information about major depressive disorder based on DSM-5 diagnostic criteria.

RESULTS

Patients reporting higher severity of sleep problems on the PHQ-9 had significantly higher HbA1c levels (mean = 8.48, SD = 2.17) compared to patients reporting lower severity or absence of this symptom (mean = 7.19, SD = 1.34, t 48.88 = -3.13, P = .003). Problems with sleep contributed unique variance on glycemic control (β = 0.27, P = .02) when controlling for potential clinical and demographic covariates, with those reporting more sleep difficulties having higher HbA1c levels.

CONCLUSIONS

For patients with type 2 diabetes and provisional threshold or subthreshold depression, it may be prudent to aggressively address sleep problems as a potential mechanism toward improving diabetes control.

Does glimepiride alter the pharmacokinetics of sildenafil citrate in diabetic nephropathy animals: investigating mechanism of interaction by molecular modeling studies

The present study evaluates possible drug interactions between glimepiride (GLIM) and sildenafil citrate (SIL) in streptozotocin (STZ)-induced diabetic nephropathic (DN) animals and also postulates the possible mechanism of interaction based on molecular modeling studies. Diabetic nephropathy was induced by single dose of STZ (60 mg kg(-1), i.p.) and was confirmed by assessing blood and urine biochemical parameters 28 days after induction. Selected DN animals were used to explore the drug interaction between GLIM (0.5 mg kg(-1), p.o.) and SIL (2.5 mg kg(-1), p.o.) on the 29th and 70th day of the protocol. Possible drug interaction was assessed by evaluating the plasma drug concentration using HPLC-UV and changes in biochemical parameters in blood and urine were also determined. The mechanism of the interaction was postulated from the results of a molecular modeling study using the Maestro module of Schrodinger software. DN was confirmed as there was significant alteration in blood and urine biochemical parameters in STZ-treated groups. The concentration of SIL increased significantly (P < 0.001) in rat plasma when co-administered with GLIM on the 70th day of the protocol. Molecular modeling revealed important interactions with rat serum albumin and CYP2C9. GLIM has a strong hydrophobic interaction with binding site residues of rat serum albumin compared to SIL, whereas for CYP2C9, GLIM forms a stronger hydrogen bond than SIL with polar contacts and hydrophobic interactions. The present study concludes that bioavailability of SIL increases when co-administered chronically with GLIM in the management of DN animals, and the mechanism is supported by molecular modeling studies.

An Overview of Links Between Obesity and Mental Health

The American Medical Association recently recognized obesity as both an illness and a leading cause of preventable death and chronic disease. This association is not only linked to physical health outcomes, however, as obesity has also been extensively associated with mental illness as well. Both obesity and severe mental illness decrease quality of life and are associated with an increase in disability, morbidity, and mortality, and when they occur together, these adverse health outcomes are magnified. Despite educational campaigns, increased awareness, and improved treatment options, the high prevalence of mental illness and comorbid obesity remains a serious problem. This review examines this overlap, highlighting clinical and biological factors that have been linked to this association in order to improve our understanding and help elucidate potential therapeutic avenues.

Depressive Symptoms, Family Functioning and Quality of Life in Chinese Patients with Type 2 Diabetes

OBJECTIVE

Patients with type 2 diabetes mellitus often have depression or depressive symptoms, impaired family functioning and poor quality of life. This study aimed to examine relationships among psychological variables, including depressive symptoms, family functioning and quality of life, for Chinese patients with type 2 diabetes and to explore the influencing factors on quality of life for these patients.

METHOD

In this cross-sectional study, 257 patients with type 2 diabetes and 259 nondiabetic community controls completed the Beck Depression Inventory, the Family Assessment Device, and the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form.

RESULTS

Patients with type 2 diabetes reported significant family impairment in the dimension of affective involvement compared with nondiabetic community controls (p<0.05). Mean Family Assessment Device scores were negatively associated with quality of life scores among patients with type 2 diabetes. Age, depressive symptoms, duration of diabetes, communication, affective involvement and behavioural control were associated with quality of life in patients with type 2 diabetes.

CONCLUSIONS

The results indicate that having type 2 diabetes was associated with some difficulties with family functioning and that poor family functioning was associated with a poorer quality of life. Additional factors, including older age, depressive symptoms, duration of diabetes, and some dimensions of family functioning, were found to be associated with quality of life in Chinese individuals with type 2 diabetes.

Study of fatigue, depression, and associated factors in type 2 diabetes mellitus in industrial workers

INTRODUCTION

Type 2 diabetes mellitus is a significant health problem and imposes great physical, financial and psychological burden among the affected population. Among people with diabetes, fatigue is a pervasive and distressing complaint, which is further accentuated by presence of depression.

OBJECTIVE

To assess the prevalence of fatigue and depression and associated clinical and socio demographic correlates in type 2diabetes.

MATERIALS AND METHODS

This cross sectional study included 100 patients of diabetes type 2 and equal number of healthy controls between the ages of 18 to 70 years. A detailed evaluation of socio demographic and clinical parameters was made. Participants were also assessed for presence of depression and fatigue using PHQ-9 and Fatigue Severity Scale(FSS)respectively.

RESULTS

Fatigue and depression was found in 68 % and 53 % of diabetic participants. Diabetic patients were 10.37 times and 4.80 times more likely to suffer from fatigue and depression respectively. Both fatigue and depression were found to be significantly associated with duration of illness, fasting and post prandial blood glucose level, diabetic complications and Body Mass Index (BMI). Fatigue was also strongly correlated with depression in study sample.

CONCLUSIONS

Fatigue and depression are reasonably correlated with type 2 diabetes. Various clinical parameters of diabetes are strongly associated with both fatigue and depression. Fatigue itself has significant correlation with depression in type 2 diabetes. Regular monitoring of biochemical parameters are paramount to predict the development of fatigue and depression in type 2 diabetes.

Poor sleep quality is associated with increased arterial stiffness in Japanese patients with type 2 diabetes mellitus

BACKGROUND

While poor sleep quality can worsen cardiovascular risk factors such as glucose and lipid profiles in patients with type 2 diabetes mellitus (T2DM), the relationship between sleep quality and atherosclerosis remains largely unknown. The aim of this study was to examine this relationship.

METHODS

The study participants comprised 724 Japanese T2DM outpatients free of history of cardiovascular diseases. The relationships between sleep quality (assessed by the Pittsburgh Sleep Quality Index (PSQI)) and various clinical and laboratory parameters were investigated.

RESULTS

The mean PSQI was 5.1 ± 3.0 (±SD). Patients were divided into three groups based on the total PSQI score; subjects with good sleep quality (n = 462), average sleep quality (n = 185), and poor sleep quality (n = 77). In the age/gender-adjusted model, patients with poor sleep quality tended to be obese, evening type and depressed. However, other lifestyles showed no significant trends. Alanine aminotransferase, fasting blood glucose, HbA1c, systolic blood pressure, urinary albumin excretion, and brachial-ankle pulse wave velocity (baPWV) tended to be higher in patients with poor sleep quality. High baPWV was the only parameter that correlated with poor sleep in a model adjusted for several other lifestyle factors.

CONCLUSIONS

Our study indicates that poor sleep quality in T2DM patients correlates with increased arterial wall stiffness, a marker of atherosclerosis and a risk factor for cardiovascular diseases.

Psychosocial experiences of chronic illness in individuals with an intellectual disability: A systematic review of the literature

BACKGROUND

Increased life expectancy has led to an increase in diagnoses of chronic illness in people with an intellectual disability; despite this increase, research about the psychological impact is rare. This review explored the psychosocial experiences of chronic illness in adults with an intellectual disability, revealing potential predictors and moderators of these experiences.

METHODS

Online databases were systematically searched to identify relevant literature, using predefined inclusion criteria. Of the 25,058 titles initially identified, 4 were included, that is, those collecting data on people with an intellectual disability and diagnosed with cancer (n = 2), chronic pain (n = 1) and diabetes (n = 1).

RESULTS

Narrative synthesis of the data identified six themes, namely, (1) delayed diagnosis, (2) information, communication and understanding, (3) negative psychological consequences, (4) negative physical consequences, (5) social perception and (6) social support.

CONCLUSIONS

There are unmet needs within this population, including a lack of assistance in understanding their illness. A substantial gap in the literature should be addressed through further empirical work.

Beyond Comorbidity: A Critical Perspective of Syndemic Depression and Diabetes in Cross-cultural Contexts

This article examines the comorbidity concept in medical anthropology. I argue that the dearth of articles on comorbidity in medical anthropology may result from the rise of syndemic theory. Syndemics recognize how social realities shape individual illness experiences as well as distribution of diseases across populations. I discuss synergistic interactions foundational to the syndemics construct through my research of depression and diabetes comorbidity in vulnerable populations from urban United States, India, and South Africa. I argue that social and economic factors that cluster with depression and diabetes alone and together exemplify the biosocial processes that are at the heart of syndemics. In doing so, I illustrate how social, cultural, and economic factors shape individual-level experiences of co-occurring diseases despite similar population-level trends. Finally, I discuss the relevance of syndemics for the fields of medicine and public health while cautioning what must not be lost in translation across disciplines.

Aberrant functional connectivity of default-mode network in type 2 diabetes patients

OBJECTIVES

Type 2 diabetes mellitus is associated with increased risk for dementia. Patients with impaired cognition often show default-mode network disruption. We aimed to investigate the integrity of a default-mode network in diabetic patients by using independent component analysis, and to explore the relationship between network abnormalities, neurocognitive performance and diabetic variables.

METHODS

Forty-two patients with type 2 diabetes and 42 well-matched healthy controls were included and underwent resting-state functional MRI in a 3 Tesla unit. Independent component analysis was adopted to extract the default-mode network, including its anterior and posterior components. Z-maps of both sub-networks were compared between the two groups and correlated with each clinical variable.

RESULTS

Patients showed increased connectivity around the medial prefrontal cortex in the anterior sub-network, but decreased connectivity around the posterior cingulate cortex in the posterior sub-network. The decreased connectivity in the posterior part was significantly correlated with the score on Complex Figure Test-delay recall test (r = 0.359, p = 0.020), the time spent on Trail-Making Test-part B (r = -0.346, p = 0.025) and the insulin resistance level (r = -0.404, p = 0.024).

CONCLUSION

Dissociation pattern in the default-mode network was found in diabetic patients, which might provide powerful new insights into the neural mechanisms that underlie the diabetes-related cognitive decline.

KEY POINTS

• Type 2 diabetes mellitus is associated with impaired cognition • Default- mode network plays a central role in maintaining normal cognition • Network connectivity within the default mode was disrupted in type 2 diabetes patients • Decreased network connectivity was correlated with cognitive performance and insulin resistance level • Disrupted default-mode network might explain the impaired cognition in diabetic population.

Psychiatric comorbidity in diabetes type 1: a cross-sectional observational study

OBJECTIVE

This study aims to investigate the prevalence of psychiatric disorders, i.e., the presence of signs and symptoms of anxiety and depression in type 1 diabetic patients, as well as to investigate the prevalence of psychiatric disorders in insulin dependent patients.

METHODS

A cross-sectional observational study of 110 diabetic outpatients (mean = 58.3, SD = 14.5; 50 male and 60 female) was conducted in a public health clinic with patients diagnosed with diabetes mellitus who were under the medical supervision of an endocrinologist. The patients were evaluated through the Mini International Neuropsychiatric Interview and the Hospital Anxiety and Depression Scale(HADS).

RESULTS

With respect to anxiety symptoms, we found a prevalence of 60% (n = 66) among patients, while in depression symptoms we found a prevalence of 53.6% (n = 59) concerning the 110 patients evaluated. More specifically, we found 28.2% (n = 31) of patients without depression or anxiety, 13.6% (n = 15) of patients with depression, 16.4% (n = 18) of patients with anxiety and 41.8% (n = 46) of patients with depression combined with anxiety. The most remarkable data were generalized anxiety disorder (22.7%), dysthymia (18.2%), panic disorder (8.2%) and social phobia (5.5%).

CONCLUSION

The need for accurate assessments about the presence of symptoms related to psychopathology in patients with type 1 diabetes is evident.

Depressive symptoms, antidepressant medication use, and new onset of diabetes in participants of the diabetes prevention program and the diabetes prevention program outcomes study

OBJECTIVE

To assess in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study whether diagnosis of diabetes predicted elevated depressive symptoms (DS) or use of antidepressant medicine (ADM) following diagnosis; whether diabetes status or duration had significant effect on DS or ADM use; and to determine the associations between A1C, fasting plasma glucose (FPG), normalization of FPG, and DS or ADM use after diagnosis.

METHODS

Diabetes Prevention Program participants in three treatment arms (intensive life style, metformin, placebo) were assessed for diabetes, glucose control, ADM use, and DS, measured using the Beck Depression Inventory (BDI). Among 3234 participants, 1285 developed diabetes. Depression levels were measured before and after diabetes diagnosis.

RESULTS

Neither DS nor use of ADM increased after diagnosis; higher FPG was associated with greater ADM use in the intensive life style arm; a 10-mg/dl rise in FPG is associated with greater odds of ADM use. Higher FPG and A1C were associated with higher BDI scores in all three arms; A 10-mg/dl rise in FPG had a 0.07 increase in BDI. A 1% higher A1c was associated with a 0.21-point increase in BDI. Normalization of FPG was associated with lower BDI. When FPG had normalized, there was a decrease of 0.30 points in the BDI score compared when FPG had not normalized.

CONCLUSIONS

Contrary to clinical attributions, diabetes diagnosis did not show an immediate impact on BDI scores or ADM use. Higher glucose levels after diagnosis were associated with a small but significantly higher BDI score and more ADM use.

TRIAL REGISTRATION

DPPOS: NCT00038727; DPP: NCT00004992.

Trends in the prevalence of depression in hospitalized patients with type 2 diabetes in Spain: analysis of hospital discharge data from 2001 to 2011

BACKGROUND

This study aims to describe trends in the prevalence of depression among hospitalized patients with type 2 diabetes in Spain, 2001-2011.

METHODS

We selected patients with a discharge diagnosis of type 2 diabetes using national hospital discharge data. Discharges were grouped by depression status. Prevalence of depression globally and according to primary diagnoses based on the Charlson comorbidity index (CCI) were analyzed. We calculated length of stay (LOHS) and in-hospital mortality (IHM). Multivariate analysis was adjusted by age, year and comorbidity.

RESULTS

From 2001 to 2011, 4,723,338 discharges with type 2 diabetes were identified (4.93% with depression). Prevalence of depression in diabetic patients increased from 3.54% in 2001 to 5.80% in 2011 (p<0.05). The prevalence of depression was significantly higher in women than in men in each year studied and increased from 5.22% in 2001 to 9.24% in 2011 (p<0.01). The highest prevalence was observed in the youngest age group (35-59 years). The median LOHS decreased significantly over this period. Men with diabetes and depression had higher IHM than women in all the years studied (p<0.05). Older age and greater comorbidity were significantly associated with a higher risk of dying, among diabetic patients with concomitant depression.

CONCLUSIONS

Prevalence of depression increased significantly among hospitalized diabetic patients from 2001 to 2011 even if the health profile and LOHS have improved over this period. Programs targeted at preventing depression among persons with diabetes should be reinforced in Spain.

High on food: the interaction between the neural circuits for feeding and for reward

Hunger, mostly initiated by a deficiency in energy, induces food seeking and intake. However, the drive toward food is not only regulated by physiological needs, but is motivated by the pleasure derived from ingestion of food, in particular palatable foods. Therefore, feeding is viewed as an adaptive motivated behavior that involves integrated communication between homeostatic feeding circuits and reward circuits. The initiation and termination of a feeding episode are instructed by a variety of neuronal signals, and maladaptive plasticity in almost any component of the network may lead to the development of pathological eating disorders. In this review we will summarize the latest understanding of how the feeding circuits and reward circuits in the brain interact. We will emphasize communication between the hypothalamus and the mesolimbic dopamine system and highlight complexities, discrepancies, open questions and future directions for the field.

The association between diabetes and depression: a very disabling condition

Rates of depression are significantly increased in diabetic patients, and even more in the elderly. About 20-30% of patients with diabetes suffer from clinically relevant depressive disorders, 10% of which being affected by the major depression disorder. Moreover, people with depression seem to be more prone to develop an associated diabetes mellitus, and depression can worsen glycemic control in diabetes, with higher risk to develop complications and adverse outcomes, whereas improving depressive symptoms is generally associated with a better glycemic control. Thus, the coexistence of depression and diabetes has a negative impact on both lifestyle and quality of life, with a reduction of physical activity and an increase in the request for medical care and prescriptions, possibly increasing the healthcare costs and the susceptibility to further diseases. These negative aspects are particularly evident in the elderly, with further decrease in the mobility, worsening of disability, frailty, geriatric syndromes and increased mortality. Healthcare providers should be aware of the possible coexistence of depression and diabetes and of the related consequences, to better manage the patients affected by these two pathological conditions.

Depression, metabolic control, and antidepressant medication in young patients with type 1 diabetes

OBJECTIVE

Recent literature suggests an association between type 1 diabetes (T1D) and depression. So far, most studies explored this link in adult populations, with few data being available on diabetes and depression from minors and young adults. This study aimed to look for associations between symptoms of depression/antidepressant treatment and metabolic outcomes of T1D.

METHODS

We conducted an observational study using the German diabetes database (Diabetes-Patienten-Verlaufsdokumentation--DPV) and searched for patients up to the age of 25 yr, with depressive symptoms and/or receiving antidepressant medication.

RESULTS

Of 53 986 T1D patients below the age of 25 yr, antidepressant medication and/or depressive symptoms were reported in 419 (0.78%). After adjustment for age, gender, diabetes duration and center heterogeneity, minors and young adults with depressive symptoms showed worse outcome parameters such as a higher rate of severe hypoglycemia (0.56 vs. 0.20/patient year, p = 0.005) and more episodes of diabetic ketoacidosis (0.20 vs. 0.07/patient year, p < 0.001). Hemoglobin A1c (HbA1c) was higher in the depression group (74.50 vs. 67.58 mmol/mol, p < 0.001) and young patients with T1D and depression showed longer duration of inpatient treatment (7.04 vs. 3.10 hospital days/patient year, p < 0.001) and more frequent admissions to hospital care (0.63 vs. 0.32/patient year, p < 0.001). Antidepressant medication was recorded in 52.3% of the depressed patients, with selective serotonin reuptake inhibitors (SSRIs) being the most widely described class of antidepressants (29.1%).

CONCLUSIONS

Our findings demonstrate an adverse treatment outcome for young patients with T1D and comorbid depressive symptoms underlining an urgent need for collaborative mental and somatic health care for patients with T1D and depression.

Diabetes to cardiovascular disease: is depression the potential missing link?

The etiopathological consequences of diabetes and its imperative sequels have been explored extensively in the scientific arena of cardiovascular diabetology. Innumerable risk covariates and confounders have been delineated for the primary and secondary prevention of diabetes and cardiovascular diseases (CVD). However, an intricate interaction of depression on them has been largely overlooked. Depression influences and participates in each and every step that worsens the diabetic state for developing cardiovascular complications. The dilemma is that it coexists, remains silent and generally not considered as relevant clinical parameter amenable to intervention. In this review, it is highlighted that depression has strong association and linkages with both diabetes and CVD and it should be considered and diagnosed at every stage of the diabetes to CVD continuum. Careful attention to the diagnosis and management of these disease states would contribute in lessening the CVD burden of the society.

Prevalence of Depression among Type 2 Diabetic Outpatients in Black Lion General Specialized Hospital, Addis Ababa, Ethiopia

Background. The emotional consequences of diabetes have been scrutinized by a number of investigative teams and there are varying reports about the association of depression with type 2 diabetes mellitus. However, there is limited data about this in Ethiopia. Therefore, the purpose of this study was to assess the prevalence of comorbid depression among type 2 diabetic outpatients. Methods and Materials. Institution based cross-sectional study design was conducted on a random sample of 276 type 2 diabetic outpatients from Black Lion General Specialized Hospital. Systematic random sampling technique was used to get these individual patients from 920 type 2 diabetic outpatients who have an appointment during the data collection period. Patients' depression status was measured using Patient Health Questionnaire 9 (PHQ 9). Result. Totally 264 type 2 diabetic outpatients were interviewed with a response rate of 95.6%. The prevalence of depression among type 2 diabetic outpatients was 13%. Based on PHQ 9 score, 28.4% (75) fulfilled the criteria for mild depression, 12.1% (32) for moderate depression, 2.7% (7) for moderately severe depression, and 1.5% (4) for severe depression. But 45.8% (121) of patients had no clinically significant depression. Conclusion. This study demonstrated that depression is a common comorbid health problem in type 2 diabetic outpatients with a prevalence rate of 13%.

Mood and its association with metabolic health in adolescents: a longitudinal study, EarlyBird 65

BACKGROUND

Mood comprises two main traits - positive and negative affect, both associated with depression and anxiety. Studies in children have linked depression with obesity, but the association with metabolic health is unclear.

OBJECTIVE

To explore the relationship between mood and metabolic health in adolescents.

METHODS

We studied 208 healthy children (115 boys) enrolled in the longitudinal EarlyBird Diabetes Study, and reviewed at 7 and 16 yr. Participants completed the Positive Affect and Negative Affect Schedule - Child Form (PANAS-C) at 16yr to assess positive and negative affect, together representing mood. Measures at 7 and 16 yr: body mass index (BMI), fat (%; dual energy X-ray absorptiometry), physical activity (accelerometer), metabolic risk z-score comprising homeostasis model assessment-insulin resistance (HOMA-IR), triglycerides, total cholesterol/high density lipoprotein (HDL) ratio and blood pressure. Pubertal development was determined by age at peak height velocity.

RESULTS

Positive affect was higher in boys than girls, (50 vs. 46, p = 0.001), negative affect higher in girls than boys (26 vs. 22, p < 0.001). Those with lower mood were fatter (r = -0.24, p < 0.001), had higher HOMA-IR (r = -0.12, p = 0.05), higher cholesterol:HDL ratio (r = -0.14, p = 0.02), were less active (r = 0.20, p = 0.003) and had earlier pubertal development (r = 0.19, p = 0.004). Inverse associations between mood and metabolic risk z-score and change in metabolic risk z-score 7-16yr (β = -0.26, p = 0.006, and -0.40, p = 0.004, respectively) were independent of adiposity, physical activity and puberty and sex.

CONCLUSIONS

Low mood in healthy children is associated with poorer metabolic health independently of adiposity. These findings may have implications for the physical and mental health of contemporary youngsters, given their increasing obesity and cardiometabolic risk.

Ondansetron, a 5HT3 receptor antagonist reverses depression and anxiety-like behavior in streptozotocin-induced diabetic mice: possible implication of serotonergic system

Increased prevalence and high comorbidity of depression-like mood disorders and diabetes have prompted investigation of new targets and potential contributing agents. There is considerable evidence supporting the inconsistent clinical efficacy and persistent undesirable effects of existing antidepressant therapy for depression associated with diabetes. Therefore, the present study was aimed at investigating the effect of ondansetron, a selective 5HT3 receptor antagonist in attenuating depression and anxiety-like behavior comorbid with diabetes. Experimentally, Swiss albino mice were rendered diabetic by a single intraperitoneal (i.p.) injection of streptozotocin (STZ, 200 mg/kg). After 8 weeks, diabetic mice received a single dose of vehicle/ondansetron (0.5 and 1 mg/kg, p.o.)/fluoxetine (the positive control, 10 mg/kg p.o.) for 28 days. Thereafter, behavioral studies were conducted to test depression-like behavior using forced swim test (FST) and anxiety-like deficits using hole-board and light-dark tests, followed by biochemical estimation of serotonin content in discrete brain regions. The results demonstrated that, STZ-induced diabetic mice exhibited increased duration of immobility and decreased swimming behavior in FST, reduced exploratory behavior during hole-board test and increased aversion to brightly illuminated light area in light-dark test as compared to non-diabetic mice, while ondansetron (similar to fluoxetine) treatment significantly reversed the same. Biochemical assay revealed that ondansetron administration attenuated diabetes-induced neurochemical impairment of serotonin function, indicated by elevated serotonin levels in discrete brain regions of diabetic mice. Collectively, the data indicate that ondansetron may reverse depression and anxiety-like behavioral deficits associated with diabetes in mice and modulation of serotonergic activity may be a key mechanism of the compound.

Association between bone mineral density and type 1 diabetes mellitus: a meta-analysis of cross-sectional studies

A few studies have investigated the relationship between type 1 diabetes mellitus (T1DM) and bone mineral density (BMD) values. This meta-analysis was performed to explore differences between T1DM and healthy individuals in BMD values measured at five bone sites.We searched the database of PubMed for cross-sectional studies about the association of T1DM and BMD, and a meta-analysis was conducted.The results suggested significant association between T1DM and decreased BMD values of total body. The pooled mean differences (MDs) were -0.06 [95% confidence interval (CI): -0.11, -0.01] for all people. As for the association between T1DM and spine BMD values, the pooled MDs were -0.04 (95% CI: -0.07, -0.01) for males and -0.03 (95% CI: -0.06, 0.00) for females <20 years old. As for femur BMD values, the pooled MDs were -0.06 (95% CI: -0.13, 0.00) for all people, -0.03 (95% CI: -0.06, -0.01) for females and -0.04(95% CI: -0.05, -0.02) for males. As for hip BMD values, the pooled MDs were -0.06 (95% CI: -0.08, -0.04) for females. As for forearm BMD values, the pooled MDs were -0.01 (95% CI: -0.02, 0.00) for females.The results of this meta-analysis suggest the overall association between T1DM and reduced BMD values. Notably, the influence of T1DM on BMD seems to depend on gender or patient's age. Reduced BMD values may occur early after T1DM diagnosis. Future clinical and basic research studies are needed to further understand the mechanisms of decreased BMD values in T1DM patients.

Is the association between depressive symptoms and glucose metabolism bidirectional? Evidence from the English Longitudinal Study of Ageing

OBJECTIVE

To examine whether the prospective association between depressive symptoms and glucose metabolism is bidirectional.

METHODS

We used a national sample of 4238 community-dwelling individuals 50 years or older from the English Longitudinal Study of Ageing. Participants were categorized into normoglycemic, impaired glucose metabolism (IGM), and undiagnosed and diagnosed diabetes using glycated hemoglobin and self-reported doctor diagnosis. Subthreshold and elevated depressive symptoms were defined by a score between 2 and 3 and 4 or higher, respectively, on the eight-item Center for Epidemiological Studies-Depression scale.

RESULTS

In the age-adjusted model, categories of depressive symptoms were associated with incident undiagnosed (odds ratio [OR] = 1.54 [95% confidence interval {CI} = 0.86-2.73] and OR = 1.91 [95% CI = 1.03-3.57] for subthreshold and elevated depressive symptoms, respectively) and diagnosed diabetes (OR = 1.53 [95% CI = 0.80-2.93] and OR = 3.03 [95% CI = 1.66-5.54], respectively) for 6 years of follow-up. The latter association remained significant after adjustment for covariates. Depressive symptoms were not associated with future IGM. Diagnosed diabetes was associated with future elevated depressive symptoms in participants aged 52 to 64 years (OR = 2.17, [95% CI = 1.33-3.56]), but not those 65 years and older (OR = 0.96, [95% CI = 0.59-1.57]) for 4 years of follow-up. Adjustment for covariates partially explained this association. IGM and undiagnosed diabetes were not associated with subsequent elevated depressive symptoms.

CONCLUSIONS

These data suggest that there is a bidirectional association between depressive symptoms and diagnosed diabetes in people aged 52 to 64 years but not in people 65 years and older.

Personality and diabetes mellitus incidence in a national sample

OBJECTIVE

To test whether personality traits were prospectively associated with type 2 diabetes incidence.

METHODS

The sample (n=6798) was derived from the National Health and Nutrition Examination Survey Epidemiological Follow-up Study cohort. We fit four logistic regression models to test whether neuroticism, extraversion, openness to experience, or the Type A behavior pattern predicted type 2 diabetes incidence. Model 1 included sex, age, and race/ethnicity. Model 2 added personality traits, Model 3 added depressive symptoms, and Model 4 added body mass index (BMI), hypertension, and cigarette smoking status as predictors.

RESULTS

In Model 1 age was associated with increased risk of diabetes (2% per year); being black as opposed to white was associated with a three-fold increase in risk. In Model 2 age and being black were still significant and extraversion was associated with decreased risk (17% per standard deviation [SD]). In Model 3 age, being black, and extraversion were still significant. In addition, neuroticism was associated with decreased risk (26% per SD) and depressive symptoms were associated with increased risk (28% per SD). In Model 4 age, being black, neuroticism, and depressive symptoms were still significant. BMI was associated with increased risk (14% per SD) and extraversion was no longer significant.

CONCLUSIONS

Higher neuroticism was associated with reduced type 2 diabetes risk even after controlling for race/ethnicity, age, depressive symptoms, and BMI. Extraversion and Type A behavior were not significant after including covariates.

Depression in patients with borderline personality disorder

Borderline personality disorder (BPD) and major depressive disorder (MDD) commonly co-occur, but the relationship between these disorders remains unclear. While BPD patients often suffer from depression, their subjective experience and treatment response are different from that experienced by MDD patients without BPD. Surveying the current literature on the interface of these two pathologies, we find that depression in BPD has distinct symptoms, treatment responses, remission predictors, and suicide risks. It tends to be subjectively more severe, more interpersonally fueled, and more persistent than MDD without BPD. BPD depression responds less well to biological treatments and may be fueled by the neurobiology of BPD. These findings suggest that clinicians should recognize the unique features of BPD depression and anticipate a clinical trajectory that may be different from MDD without BPD, keeping in mind that BPD depression tends not to improve until BPD improves.

Avaliação do funcionamento do eixo HPA em deprimidos por meio de medidas basais: revisão sistemática da literatura e análise das metodologias utilizadas

Objetivo Realizar revisão sistemática da literatura para conhecer a atividade do eixo hipotálamo-pituitária-adrenal (HPA) em deprimidos considerando-se as medidas basais dos hormônios e analisar criticamente as metodologias utilizadas. Métodos Foi realizada busca de artigos nas bases de dados PubMed e SciELO. Na primeira base de dados, introduziram-se as palavras-chave “depressive disorder” e “HPA axis”, e na segunda utilizaram-se os termos “depression” ou “depressão” e “HHA” ou “HPA axis”. Optou-se por pesquisa realizada em humanos adultos, em inglês e português, do ano 2000 até 2011. Resultados Dos 27 artigos selecionados, obtiveram-se como resposta do eixo HPA tanto hiperatividade como atividade desregulada, hipoatividade ou não alteração. Tais resultados dependem das variáveis e dos hormônios estudados, do fluido coletado – plasma, urina, saliva, líquido cefalorraquidiano – do horário de coleta, do número de coletas, da análise estatística utilizada, do subtipo de doença depressiva, entre outros. Conclusão: Os resultados não apresentam consenso em relação à atividade do eixo HPA. Considerando as variáveis estudadas, o eixo HPA, na maioria das vezes, apresenta-se disfuncional na presença da depressão.

An online positive affect skills intervention reduces depression in adults with type 2 diabetes

Positive affect predicts improved glycemic control and longevity in adults with type 2 diabetes. We tested DAHLIA, a self-paced online intervention for type 2 diabetes that teaches positive affect skills such as savoring, gratitude, and acts of kindness. Participants (n=49) were randomized to the 5-week DAHLIA course or an emotion-reporting waitlist control. DAHLIA was understood and accepted by participants and showed good retention (78%). At post-intervention, DAHLIA participants showed a significantly greater decrease in depression than controls (-4.3 vs. +0.6 points on the CES-D, p =.05). Secondary analyses found that this effect was considerably stronger in intervention recipients recruited online than those recruited in person. Intervention recipients recruited online also showed significantly increased positive affect, reduced negative affect, and reduced perceived stress. There were no effects on measures of diabetes-specific efficacy or sense of burden, or preliminary measures of health behaviors. This successful feasibility and efficacy trial provides support for a larger trial focusing more specifically on health behavior.

Depressive symptom clusters as predictors of 6-year increases in insulin resistance: data from the Pittsburgh Healthy Heart Project

OBJECTIVE

To examine longitudinal bidirectional associations between two depressive symptom clusters-the cognitive-affective and somatic-vegetative clusters--and insulin resistance, a marker of prediabetes.

METHODS

Participants were 269 adults aged 50 to 70 years without diabetes enrolled in the Pittsburgh Healthy Heart Project, a prospective cohort study. At baseline and 6-year visits, participants completed the Beck Depression Inventory-II (BDI-II) and underwent a blood draw to quantify fasting insulin and glucose. We examined baseline BDI-II total, cognitive-affective, and somatic-vegetative scores as predictors of 6-year change in the homeostatic model of assessment (HOMA) score, an estimate of insulin resistance computed from fasting insulin and glucose. We also examined baseline HOMA score as a predictor of 6-year change in BDI-II total and subscale scores.

RESULTS

Regression analyses, adjusted for demographic factors and baseline HOMA score, revealed that the baseline BDI-II somatic-vegetative score (β = 0.14, p = .025), but not the cognitive-affective (β = 0.001, p = .98) or total (β = 0.10, p = .11) scores, predicted 6-year HOMA change. This result persisted in models controlling for anxiety symptoms and hostility. Several factors were examined as candidate mediators; however, only change in body mass index was a significant mediator (p = .042), accounting for 23% of the observed association. Baseline HOMA score did not predict 6-year change in BDI-II total or subscale scores (all p values >.56).

CONCLUSIONS

Among adults aged 50 to 70 years, the somatic-vegetative symptoms of depression (e.g., fatigue, sleep disturbance, and appetite changes) may worsen insulin resistance and increase diabetes risk, partly, by increasing body mass index.

Diabetes and depression

Diabetes and depression occur together approximately twice as frequently as would be predicted by chance alone. Comorbid diabetes and depression are a major clinical challenge as the outcomes of both conditions are worsened by the other. Although the psychological burden of diabetes may contribute to depression, this explanation does not fully explain the relationship between these 2 conditions. Both conditions may be driven by shared underlying biological and behavioral mechanisms, such as hypothalamic-pituitary-adrenal axis activation, inflammation, sleep disturbance, inactive lifestyle, poor dietary habits, and environmental and cultural risk factors. Depression is frequently missed in people with diabetes despite effective screening tools being available. Both psychological interventions and antidepressants are effective in treating depressive symptoms in people with diabetes but have mixed effects on glycemic control. Clear care pathways involving a multidisciplinary team are needed to obtain optimal medical and psychiatric outcomes for people with comorbid diabetes and depression.

Characteristics of attempted suicide by patients with schizophrenia compared with those with mood disorders: a case-controlled study in northern Japan

Recent reports suggest a lifetime suicide risk for schizophrenia patients of approximately 5%. This figure is significantly higher than the general population suicide risk consequently, detection of those at risk is clinically important. This study was undertaken to define the characteristics of suicide attempts by schizophrenia patients compared with attempts by patients with mood disorders. All patients were diagnosed using the ICD-10 criteria. The study population comprised 65 patients with F2 disorders (schizophrenia, schizotypal and delusional disorders), i.e., “the F2 group”, and 94 patients with F3 disorders (mood disorders), i.e., “the F3 group”, who presented in the clinical setting of consultation-liaison psychiatry. The F2 group had a significantly younger mean age and significantly higher ratios of ‘past/present psychiatric treatment’ and ‘more than 3 months interruption of psychiatric treatment’. In contrast, the ratios of ‘physical disorder comorbidity’, ‘alcohol intake at suicide attempt’ and ‘suicide note left behind’ were significantly higher in the F3 group. The F2 group attempted suicide by significantly more serious methods. Furthermore, ‘hallucination-delusion’ was the most prevalent motive in the F2 group and was the only factor that showed a significant association with the seriousness of the method of suicide attempt (OR = 3.36, 95% CI: 1.05–11.33).

Endothelial dysfunction is associated with a greater depressive symptom score in a general elderly population: the Hoorn Study

BACKGROUND

Endothelial dysfunction (ED), low-grade inflammation (LGI) and oxidative stress (OxS) may be involved in the pathobiology of depression. Previous studies on the association of these processes in depression have yielded contradictory results. We therefore investigated comprehensively, in a population-based cohort study, the association between ED, LGI and OxS on the one hand and depressive symptoms on the other.

METHOD

We used data from the Hoorn Study and determined biomarkers of ED [flow-mediated dilatation (FMD), von Willebrand factor, soluble intercellular adhesion molecule 1 (sICAM-1), soluble vascular cell adhesion molecule 1, soluble thrombomodulin and soluble endothelial selectin], LGI [C-reactive protein, tumour necrosis factor-α, interleukin 6, interleukin 8, serum amyloid A, myeloperoxidase (MPO) and sICAM-1] and OxS (oxidized low density lipoprotein and MPO). Depressive symptoms were quantified by the Center for Epidemiologic Studies Depression Scale (CES-D) questionnaire (n = 493; age 68 years; 49.9% female). Regression analyses were performed with the use of biomarker Z scores. Adjustments were made for age, sex and glucose metabolism status (cohort stratification variables) and prior cardiovascular disease, hypertension, waist-to-hip ratio, cholesterol levels, education level, physical activity, dietary habits, and the use of antihypertensive and/or lipid-lowering medication and/or metformin (potential confounders).

RESULTS

After adjustment for age, sex and glucose metabolism status, one standard deviation increase in the ED Z score was associated with a 1.9 [95% confidence interval (CI) 0.7-3.1] higher CES-D score. Additional adjustments did not materially change this result. LGI and OxS were not associated with the CES-D score.

CONCLUSIONS

ED, as quantified by an array of circulating biomarkers and FMD, was independently associated with depressive symptoms. This study supports the hypothesis that ED plays an important role in the pathobiology of depression.

Abnormal screening for gestational diabetes, maternal mood disorder, and preterm birth

OBJECTIVE

Gestational diabetes mellitus (GDM) affects 7% of pregnant mothers, and those with GDM have increased rates of perinatal complications. Major depressive disorder (MDD) and its pharmacologic treatments are associated with obesity and adverse pregnancy outcomes. In this prospective study, we investigated the relationship between abnormal GDM screens, maternal mood disorders, and adverse outcomes.

METHODS

We examined mothers with MDD, those with bipolar disorder (BD), and healthy controls (HC) at 20, 30, and 36 weeks of gestation and delivery. We obtained demographic data and pre-pregnancy body mass index (BMI), and confirmed diagnoses with the Structured Clinical Interview for DSM-IV. We evaluated smoking, alcohol use, substance use, and medication treatments with the Longitudinal Interval Follow-up Evaluation interview. Mothers received the one-hour 50-g glucose challenge test (GCT) at 26-28 weeks of gestation. Outcome variables were preterm birth, birth weight (BW) and peripartum events.

RESULTS

We enrolled 62 HC, 50 BD, 41 past MDD, and 39 current MDD mother-infant pairs. Mean GCT levels and the frequency of abnormal GCT (>140 mg/dL) did not differ across groups. Rates of smoking (χ(2)  = 20.68, df = 3, p < 0.001), substance use (χ(2)  = 21.76, df = 3, p < 0.001), and pre-pregnancy obesity [BMI ≥ 30 (χ(2)  = 9.97, df = 3, p = 0.019)] differed significantly across groups. Mothers with BD received medications associated with weight gain significantly more often than others [13/45 (29%), p < 0.001). After adjusting for group differences, GCT levels were associated significantly with increased odds for preterm birth (odds ratio = 1.29, 95% confidence interval: 1.0-1.7, p = 0.05) and increased perinatal events (beta = 0.11, p = 0.04) but were not associated with BW.

CONCLUSIONS

In mothers with or without mood disorders, having increased GCT levels contributes to a higher likelihood for adverse pregnancy outcomes. Mothers with BD or current MDD can have additional risks for adverse outcomes and may benefit from early referral for high-risk services and supportive management in pregnancy.

Associations between DSM-IV mental disorders and diabetes mellitus: a role for impulse control disorders and depression

AIMS/HYPOTHESIS

No studies have evaluated whether the frequently observed associations between depression and diabetes could reflect the presence of comorbid psychiatric conditions and their associations with diabetes. We therefore examined the associations between a wide range of pre-existing Diagnostic Statistical Manual, 4th edition (DSM-IV) mental disorders with self-reported diagnosis of diabetes.

METHODS

We performed a series of cross-sectional face-to-face household surveys of community-dwelling adults (n = 52,095) in 19 countries. The World Health Organization Composite International Diagnostic Interview retrospectively assessed lifetime prevalence and age at onset of 16 DSM-IV mental disorders. Diabetes was indicated by self-report of physician's diagnosis together with its timing. We analysed the associations between all mental disorders and diabetes, without and with comorbidity adjustment.

RESULTS

We identified 2,580 cases of adult-onset diabetes mellitus (21 years +). Although all 16 DSM-IV disorders were associated with diabetes diagnosis in bivariate models, only depression (OR 1.3; 95% CI 1.1, 1.5), intermittent explosive disorder (OR 1.6; 95% CI 1.1, 2.1), binge eating disorder (OR 2.6; 95% CI 1.7, 4.0) and bulimia nervosa (OR 2.1; 95% CI 1.3, 3.4) remained after comorbidity adjustment.

CONCLUSIONS/INTERPRETATION

Depression and impulse control disorders (eating disorders in particular) were significantly associated with diabetes diagnosis after comorbidity adjustment. These findings support the focus on depression as having a role in diabetes onset, but suggest that this focus may be extended towards impulse control disorders. Acknowledging the comorbidity of mental disorders is important in determining the associations between mental disorders and subsequent diabetes.