Depressive symptoms and the risk of type 2 diabetes: the Atherosclerosis Risk in Communities study

Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction

Diabetes Mellitus, one of the leading causes of death worldwide, has no cure to date and can lead to severe health complications, such as retinopathy, limb amputation, cardiovascular diseases, and neuronal disease, if left untreated. Consequently, it becomes crucial to be able to monitor and predict the incidence of diabetes. Machine learning approaches have been proposed and evaluated in the literature for diabetes prediction. This paper proposes an IoT-edge-Artificial Intelligence (AI)-blockchain system for diabetes prediction based on risk factors. The proposed system is underpinned by blockchain to obtain a cohesive view of the risk factors data from patients across different hospitals and ensure security and privacy of the user's data. We provide a comparative analysis of different medical sensors, devices, and methods to measure and collect the risk factors values in the system. Numerical experiments and comparative analysis were carried out within our proposed system, using the most accurate random forest (RF) model, and the two most used state-of-the-art machine learning approaches, Logistic Regression (LR) and Support Vector Machine (SVM), using three real-life diabetes datasets. The results show that the proposed system predicts diabetes using RF with 4.57% more accuracy on average in comparison with the other models LR and SVM, with 2.87 times more execution time. Data balancing without feature selection does not show significant improvement. When using feature selection, the performance is improved by 1.14% for PIMA Indian and 0.02% for Sylhet datasets, while it is reduced by 0.89% for MIMIC III.

Cognitive impairment and depression precede increased HDL-C levels in middle-aged and older Chinese adults: cross-lagged panel analyses

BACKGROUND

High-density lipoprotein cholesterol (HDL-C) is widely recognized for its protective effects against cognitive decline. However, recent studies have presented conflicting results, with some suggesting no significant cognitive benefits or even an increased risk of dementia associated with high HDL-C levels. For those who suffer from depression, the cognitive benefits of HDL-C may be diminished or reversed. The purpose of this study is to investigate the associations between HDL-C, cognitive ability, and depressive symptoms in middle-aged and older Chinese adults.

METHODS

The datasets utilized were sourced from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011 and 2015, comprising 4,302 participants. Cross-lagged models were employed to explore the temporal sequence between cognitive performance and HDL-C levels, and to examine the interplay among depression, cognition, and HDL-C. Confounding factors such as sociodemographic characteristics, sleep conditions, and history of chronic diseases were controlled for.

RESULTS

The analysis revealed unidirectional effects of baseline impaired cognition and greater severity of depression on increased HDL-C levels at follow-up (β =  - 0.036 and β = 0.028, respectively, P < 0.05). However, higher baseline HDL-C levels did not significantly predict cognitive performance or depression 4 years later (β =  - 0.008 and β = 0.023, respectively, P > 0.05). Depressive symptoms and cognition were found to have a significant bidirectional association (β =  - 0.026 and β =  - 0.053, respectively, P < 0.05).

CONCLUSIONS

Cognitive impairment and depression are associated with higher HDL-C levels, whereas higher HDL-C levels do not appear to protect against cognitive decline or depressive symptoms. These findings underscore the importance of preserving cognitive and mental health, which may lower the likelihood of cardiovascular disease and dementia. Future studies should validate these findings and develop targeted interventions tailored to specific populations.

Anxiety and Depression Associated With Increased Cardiovascular Disease Risk Through Accelerated Development of Risk Factors

Background

Prior studies have incompletely assessed whether the development of cardiometabolic risk factors (CVDRF) (hypertension, hyperlipidemia, and diabetes mellitus) mediates the association between anxiety and depression (anxiety/depression) and cardiovascular disease (CVD).

Objectives

The authors aimed to evaluate the following: 1) the association between anxiety/depression and incident CVDRFs and whether this association mediates the increased CVD risk; and 2) whether neuro-immune mechanisms and age and sex effects may be involved.

Methods

Using a retrospective cohort design, Mass General Brigham Biobank subjects were followed for 10 years. Presence and timing of anxiety/depression, CVDRFs, and CVD were determined using ICD codes. Stress-related neural activity, chronic inflammation, and autonomic function were measured by the assessment of amygdalar-to-cortical activity ratio, high-sensitivity CRP, and heart rate variability. Multivariable regression and mediation analyses were employed.

Results

Among 71,214 subjects (median age 49.6 years; 55.3% female), 27,048 (38.0%) developed CVDRFs during follow-up. Pre-existing anxiety/depression associated with increased risk of incident CVDRF (OR: 1.71 [95% CI: 1.59-1.83], P < 0.001) and with a shorter time to their development (β = -0.486 [95% CI: -0.62 to -0.35], P < 0.001). The development of CVDRFs mediated the association between anxiety/depression and CVD events (log-odds: 0.044 [95% CI: 0.034-0.055], P < 0.05). Neuro-immune pathways contributed to the development of CVDRFs (P < 0.05 each) and significant age and sex effects were noted: younger women experienced the greatest acceleration in the development of CVDRFs after anxiety/depression.

Conclusions

Anxiety/depression accelerate the development of CVDRFs. This association appears to be most notable among younger women and may be mediated by stress-related neuro-immune pathways. Evaluations of tailored preventive measures for individuals with anxiety/depression are needed to reduce CVD risk.

Happiness across the borders-A cross-sectional study among patients with psoriasis and atopic dermatitis in Europe

BACKGROUND

Dermatological research has traditionally concentrated on evaluating mental comorbidities, neglecting positive concepts like happiness. Initial studies indicate that psoriasis and atopic dermatitis (AD) impair the happiness of those affected. Considering global happiness variations, this study aimed to explore the disease- and country-specific differences in disease-related quality of life and happiness, and potential influential factors on heuristic happiness among psoriasis and AD patients in Europe.

METHODS

A cross-sectional multicentre study was conducted in dermatology departments of university-affiliated hospitals in eight European countries (Austria, Germany, Italy, Malta, Poland, Portugal, Romania and Ukraine) between October 2021 and February 2023. Adult psoriasis and AD patients completed a standardized questionnaire in their native languages, providing data on demographics, disease-related characteristics, disease-related quality of life (Dermatology Life Quality Index, DLQI), heuristic happiness, positive affect (PA), negative affect (NA) and satisfaction with life (SWL). Descriptive analysis and quantile regression were performed.

RESULTS

Between psoriasis (n = 723) and AD (n = 316) patients almost no differences were observed in happiness, SWL and NA, except for DLQI and small differences in PA, with AD patients reporting greater impact than psoriasis patients. Country-wise variation emerged in DLQI, heuristic happiness, PA, NA and SWL with Austrian patients displaying the highest levels of happiness, satisfaction and positivity, coupled with higher treatment care and lower disease severity. Quantile regression revealed varying coefficients for predictor variables across quantiles, indicating, for example positive effects on heuristic happiness associated with current or previous receipt of systemic therapies at different quantiles.

CONCLUSION

This study shows notable happiness differences across European countries and significant disease-related variations, particularly with AD patients being more impaired than psoriasis patients. The findings highlight the need for equality in treatment access and support the development of targeted positive psychological interventions to enhance happiness considering country-specific distinctions in future research and health policies for psoriasis and AD patients.

Depressive disorder subtypes, depressive symptom clusters, and risk of obesity and diabetes: A systematic review

BACKGROUND

Overlapping but divided literatures suggest certain depression facets may pose greater obesity and diabetes risk than others. Our objectives were to integrate the major depressive disorder (MDD) subtype and depressive symptom cluster literatures and to clarify which facets are associated with the greatest cardiometabolic disease risk.

METHODS

We conducted a systematic review of published studies examining associations of ≥2 MDD subtypes or symptom clusters with obesity or diabetes risk outcomes. We report which facets the literature is "in favor" of (i.e., having the strongest or most consistent results).

RESULTS

Forty-five articles were included. Of the MDD subtype-obesity risk studies, 14 were in favor of atypical MDD, and 8 showed similar or null associations across subtypes. Of the symptom cluster-obesity risk studies, 5 were in favor of the somatic cluster, 1 was in favor of other clusters, and 5 were similar or null. Of the MDD subtype-diabetes risk studies, 7 were in favor of atypical MDD, 3 were in favor of other subtypes, and 5 were similar or null. Of the symptom cluster-diabetes risk studies, 7 were in favor of the somatic cluster, and 5 were similar or null.

LIMITATIONS

Limitations in study design, sample selection, variable measurement, and analytic approach in these literatures apply to this review.

CONCLUSIONS

Atypical MDD and the somatic cluster are most consistently associated with obesity and diabetes risk. Future research is needed to establish directionality and causality. Identifying the depression facets conferring the greatest risk could improve cardiometabolic disease risk stratification and prevention programs.

Temporal associations of BMI and glucose parameters with depressive symptoms among US adults

As the prevalence of obesity, diabetes, and depression increases, it is important to examine how their associations are changing overtime. We investigated the temporal trends in the association between depressive symptoms, body mass index (BMI) and glucose profile parameters using data from 2005 to 2018 National Health and Nutrition Examination Survey. Depressive symptoms were assessed using the Patient Health Questionnaire. A total of 32,653 participants were included. Risk of depressive symptoms increased with higher BMI (aOR = 1.586, 95 % CI [1.364, 1.843]), insulin (aOR = 1.327, 95 % CI [1.159, 1.519]), HbA1c (aOR = 1.330, 95 % CI [1.116, 1.585]), or fasting glucose (aOR = 1.565, 95 % CI [1.247, 1.964]) levels compared to those with low levels. Sex differences were found, as overweight males had lower odds of depressive symptoms compared to healthy males, while overweight and obese females had higher odds compared to healthy females. High BMI and glucose parameters were consistently associated with higher depressive symptoms prevalence over time. Temporal variations were observed in the depressive symptoms-BMI and depressive symptoms-HbA1c associations, particularly at the 2007-2008 cycle. This study provides analytic insights into population level trends concerning physical and mental health problems.

Association between depression and risk of type 2 diabetes and its sociodemographic factors modifications: A prospective cohort study in southwest China

BACKGROUND

Depression may be associated with the risk of developing type 2 diabetes. The goal of this study was to explore the association of severe of depression with the risk of type 2 diabetes in adults in Guizhou, China.

METHODS

A 10-year prospective cohort study of 7158 nondiabetes adults aged 18 years or older was conducted in Guizhou, southwest China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) of depression and incident type 2 diabetes. A quantile regression (QR) analytical approach were applied to evaluate the associations of PHQ-9 score with plasma glucose values.

RESULTS

A total of 739 type 2 diabetes cases were identified during a median follow-up of 6.59 years. The HR (95% CI) per 1-SD increase for baseline PHQ-9 score was 1.051 (1.021, 1.082) after multivariable adjustment. Compared with participants without depression, those with mild or more advanced depression had a higher risk of incident type 2 diabetes (HR:1.440 [95% CI, 1.095, 1.894]). Associations between depression with type 2 diabetes were suggested to be even stronger among women or participants aged ≥45 years (p < .05). There are significant positive associations of PHQ-9 score with 2-h oral glucose tolerance test blood glucose levels.

CONCLUSION

Depression significantly increased the risk of incident type 2 diabetes, especially in women, participants aged ≥45 years, Han ethnicity, and urban residents. These findings highlighted the importance and urgency of depression health care.

The Impact of a Collaborative Care Model on Health Trajectories among Patients with Co-Morbid Depression and Diabetes: The INDEPENDENT Study

Context

Collaborative care models for depression have been successful in a variety of settings, but their success may differ by patient engagement. We conducted a post-hoc analysis of the INDEPENDENT trial to investigate the role of differential engagement of participants on health outcomes over 3 years.

Settings and Design

INDEPENDENT study was a parallel, single-blinded, randomised clinical trial conducted at four socio-economically diverse clinics in India. Participants were randomised to receive either active collaborative care or usual care for 12 months and followed up for 24 months.

Method

We grouped intervention participants by engagement, defined as moderate (≤7 visits) or high, (8 or more visits) and compared them with usual care participants. Improvements in composite measure (depressive symptoms and at least one of three cardio-metabolic) were the primary outcome.

Statistical Analysis

Mean levels of depression and cardio-metabolic measures were analysed over time using computer package IBM SPSS Statistics 25.

Results

The composite outcome was sustained the highest in the moderate engagers [27.5%, 95% confidence interval (CI): 19.5, 36.7] and the lowest in high engagers (15.8%, 95% CI: 8.1, 26.8). This pattern was observed for individual parameters - depressive symptoms and glycosylated haemoglobin. Progressive reductions in mean depressive symptom scores were observed for moderate engagers and usual care group from baseline to 36 months. However, in high engagers of collaborative care, mean depressive symptoms were higher at 36 months compared to 12 months.

Conclusion

Sustained benefits of collaborative care were larger in participants with moderate engagement compared with high engagement, although a majority of participants relapsed on one or more outcome measures by 36 months. High engagers of collaborative care for co-morbid depression and diabetes may need light touch interventions for longer periods to maintain health and reduce depressive symptoms.

Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses

Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.

Genetic liability to mental disorders in relation to the risk of hypertension

Background

Observational studies have indicated that psychosocial factors contribute to hypertension; however, the causality of these associations remains unclear due to reverse causality and confounders. We aim to assess the causal associations of mental health disorders with hypertension.

Methods

Instrumental variables of anxiety disorder, attention deficit/hyperactivity disorder, autism spectrum disorder, depression, obsessive-compulsive disorder, post-traumatic stress disorder, schizophrenia, and subjective well-being measure were obtained from the corresponding largest genome-wide association studies. Summary statistics for the association of essential hypertension were obtained from the FinnGen Study (42,857 cases and 162,837 controls) and UK Biobank cohort (54,358 cases and 408,652 controls). The multiplicative random-effects inverse-variance weighted method was utilized as the primary analysis and three other statistical methods were conducted in the supplementary analyses. The results were combined using the fixed-effects method.

Results

In the pooled analyses, genetic liability to depression was associated with higher risk of hypertension (odds ratio [OR], 1.25; 95% confidence interval [CI], 1.17-1.35; p < 0.001). Besides, a suggestive association was found between genetically predicted higher weighted neuroticism sum-score and increased risk of hypertension (OR, 1.16; 95% CI, 1.02-1.33; p < 0.05). No associations were found for other mental health disorders. Sensitivity analyses revealed consistent evidence as the main results.

Conclusion

We provide consistent evidence for the causal effect of genetic liability to depression on hypertension, which highlights the importance of blood pressure measurement and monitoring in patients with depression.

Health Effects of Happiness in China

The demand for improving health status of Chinese residents is growing with the rapid economic development. Happiness, which could be improved by some brief, self-administered, and cost-effective interventions, is reported to be associated with mortality, longevity, and self-rated health. Therefore, it is essential to assess the effect of happiness on health in China. Using data from the Chinese General Social Survey 2017, the present study explored the effect of happiness on health among Chinese residents after controlling for demographic variables, socioeconomic factors, social relationships, locations, and insurance plan. The happiness effect across subsamples by age and resident type and the mediator role of happiness were also evaluated. Based on an ordered probit regression model, we found that the effect of happiness on health was significantly positive in full sample and all subsamples. Using a structural equation model, we demonstrated that happiness could partially mediate the relationship between socioeconomic factors, social relationships factors, and health. Our data supplement the existing literature on the relationship between happiness and health and provide evidence for policymakers and stakeholders focusing on happiness as a health strategy to improve overall societal wellbeing.

The Impact of COVID-19 Incidence on Motivation to Participate in a Triathlon

The COVID-19 pandemic has caused many changes that have influenced the lives of people around the world and have left their mark in the world of sports, as well. Numerous restrictions resulted in the cancellation of the organization of many sports events, and the players themselves had restricted access to training. The main goal of the study was to identify the motivation to participate in a triathlon between athletes who have undergone COVID-19, those who have never been infected and those who do not know if they have ever caught the virus and to evaluate the differences between them. The assessment of the motives for participating in a sports event was conducted according to four types of orientation: social, experience, factual and results to check what benefits for well-being and self-improvement are brought about by participation in a triathlon as a mass sports event. The desire to feel unity, to develop passion, to integrate with other people and to get away from everyday life were the most important motives for those who have never been infected. It turns out that 100% of the respondents who had a history of COVID-19 disease indicated the desire to prove themselves. The desire to maintain good physical condition and health was reported by the majority of researched people, but again, all respondents (100%) who had been infected with COVID-19 indicated these motives as the most important.

Aerobic exercise with diet induces hormonal, metabolic, and psychological changes in postmenopausal obese women

Physical activity and diet are recommended lifestyle strategies to improve human health. Consequently, this study aimed to investigate the impact of aerobic exercise combined with dietary restriction on hormonal, metabolic, and psychological variables in postmenopausal women. Eligible 60 women were enrolled and assigned into two equal groups; the experimental group performed aerobic exercise three times per week for 12 weeks with diet restriction, and the control group only received the same diet program. Serum levels of sex hormones, insulin resistance, and depression scores were measured before and after the intervention.

Results

All measured variables were significantly changed in the experimental group compared to the control group (P = 0.001).

Conclusion

Changes in sex hormones are a biological marker of metabolic complications such as insulin resistance, which can be reduced with exercise and diet. In addition, they are effective therapeutic interventions in the treatment of mild depression.

Trial registration

Registration identifier number of this study is: NCT05136742 on https://register.ClinicalTrials.gov.

The Association of Burnout and Vital Exhaustion With Type 2 Diabetes: A Systematic Review and Meta-Analysis

OBJECTIVE

This study aimed to investigate the association of burnout and vital exhaustion with measures of glycemic control and type 2 diabetes (T2D) in a systematic review and meta-analysis.

METHODS

PubMed, Embase, and PsycINFO were searched from inception to April 2, 2020. Data extraction and quality assessment were performed using the Effective Public Health Practice Project tool. When possible, results were meta-analyzed using random-effects models and rated using the Grading of Recommendations, Assessment, Development and Evaluation.

RESULTS

A total of 5317 titles/abstracts were screened, 140 articles were read full text, of which 29 studies were included. Eighteen studies were cross-sectional, three prospective and eight were case-control studies. Burnout and vital exhaustion were significantly associated with T2D, with a pooled odds ratio of 1.8 (95% confidence interval [CI] = 1.4 to 2.4, I2 = 79%; 9 studies). Glycated hemoglobin A1c levels were not significantly higher in people with burnout and vital exhaustion, compared to those without, with a pooled standardized mean difference of 0.35 (95% CI = -0.62 to 1.33, I2 = 98%; 7 studies). In addition, no differences in glucose levels were observed (standardized mean difference = 0.02, 95% CI = -0.26 to 0.30, I2 = 90%; 9 studies). Sensitivity analyses showed no decrease in heterogeneity when excluding studies with low quality (I2glucose = 89%) or studies with a study n < 40 population (I2T2D = 77%). The level of Grading of Recommendations, Assessment, Development and Evaluation evidence was moderate to low quality because of 18 studies having a cross-sectional design.

CONCLUSIONS

Burnout and vital exhaustion might be associated with a higher risk of T2D, but not with glycemic control. Methodological shortcomings and high heterogeneity of the studies included complicate the interpretation of our results.

Association of risk factors with type 2 diabetes: A systematic review

Diabetes is the leading cause of severe health complications and one of the top 10 causes of death worldwide. To date, diabetes has no cure, and therefore, it is necessary to take precautionary measures to avoid its occurrence. The main aim of this systematic review is to identify the majority of the risk factors for the incidence/prevalence of type 2 diabetes mellitus on one hand, and to give a critical analysis of the cohort/cross-sectional studies which examine the impact of the association of risk factors on diabetes. Consequently, we provide insights on risk factors whose interactions are major players in developing diabetes. We conclude with recommendations to allied health professionals, individuals and government institutions to support better diagnosis and prognosis of the disease.

Relationships between depression and anxiety symptoms and adipocyte-derived proteins in postmenopausal women

INTRODUCTION

Studies on the association between adiponectin and leptin and anxiety and depression among postmenopausal women are limited. Therefore, the present study specifically evaluates the mutual relationships between adiponectin and leptin and anxiety and depression in postmenopausal women.

PARTICIPANTS AND DESIGN

In this cross-sectional study, a total of 190 women aged 40-65 years were enrolled. Depression symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and anxiety symptoms were evaluated using the Hamilton Anxiety Rating Scale (HAM-A). Fasting specimens were collected to measure sex hormone, glucose, insulin, and adipokine levels. Multiple linear regression analysis was performed to evaluate the associations between depression and anxiety and adipocyte-derived hormones.

SETTINGS

The study was performed in a hospital medical center.

RESULTS

Among 190 enrolled postmenopausal women, Spearman's rank correlation analysis revealed significant correlations between CES-D and HAM-A (r = 0.715, P < 0.0001), between CES-D and adiponectin (p = 0.009) and leptin (p = 0.015), and between HAM-A and adiponectin (p = 0.01) and leptin (p = 0.001). The subjects with CES-D ≥ 16 and with HAM-A ≥ 18 had higher adiponectin levels than those with CES-D < 16 and HAM-A < 18, respectively. After adjusting for age, body mass index, exercise, alanine amino transferase and parameters of lipid profiles, Log adiponectin levels were found to be significantly associated with both CES-D and HAM-A, and Log leptin levels were only significantly associated with HAM-A.

CONCLUSIONS

The data show that adiponectin and leptin levels are significantly associated with depression and anxiety symptoms. These results suggest that higher adiponectin and lower leptin levels may serve as potential markers related to anxiety and mood in postmenopausal women. More future research that is designed to deal with the important confounders (e.g., population heterogeneity) is needed to investigate comprehensively on these associations.

50 Years of Behavioral Science in Diabetes: A 2020 Vision of the Future

This article is adapted from a speech Dr. de Groot delivered in June 2020 as President, Health Care & Education, of the American Diabetes Association at the Association's 80th Scientific Sessions, which was held online as a result of coronavirus disease 2019. Dr. de Groot is an Associate Professor of Medicine in the Division of Endocrinology, Diabetes and Metabolism at Indiana University (IU) School of Medicine. She serves as the Acting Director of the IU Diabetes Translational Research Center. Dr. de Groot is the 2020 recipient of the Rachmiel Levine Medal for Leadership from the American Diabetes Association.In the year 2020, we marked the 50th anniversary of the field of behavioral science in diabetes in the modern era. Over this relatively short period of time, this field has charted the psychosocial landscape of prediabetes and diabetes by establishing the prevalence and impact of emotional and behavioral aspects of diabetes. Interventions to address these conditions have been developed that span the T2 to T4 translational research spectrum ranging from the intrapsychic to population-based interventions. Policies ranging from standards of care to Medicare benefits have been implemented. A review of research in the area of diabetes and depression is provided as an example of innovations in this field. Behavior is the foundation of all interventions we make in diabetes and prediabetes. As a mature science, it is critical to stemming the tide of diabetes and its outcomes. To make additional strides, we must rebalance our focus and augment funding for behavioral interventions for individuals, communities, and health care systems in conjunction with other forms of treatment.

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

PURPOSE/BACKGROUND

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

METHODS/PROCEDURES

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

FINDINGS/RESULTS

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

IMPLICATIONS/CONCLUSIONS

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

50 Years of Behavioral Science in Diabetes: A 2020 Vision of the Future

Editor's Note: This article is adapted from a speech Dr. de Groot delivered in June 2020 as President, Health Care & Education, of the American Diabetes Association. She delivered her address at the Association's 80th Scientific Sessions, which was held online as a result of the coronavirus disease 2019.

Influence of Affect on Physical Activity: An Integrative Review

Affective states, such as feelings of anger and excitement, are linked to health outcomes and behaviors. The benefits of physical activity for individual affect is known; however, how affect influences physical activity participation is less understood. Using Whittemore and Knafl's framework, this integrative review examines the influence of affect on adult physical activity. using six databases, 19 articles published between 1997 and 2019. Themes found include support for the influence of positive affect on increased physical activity, a temporal aspect of affect, a variety of measurement tools, and varying uses of theoretical frameworks across studies. Advanced practice nurses and registered nurses may improve patient health behaviors, such as physical activity, by incorporating affect-focused assessments. Review findings support consideration of affect in physical activity counseling. Further research using theory-driven methods and consistent affect assessments is needed to test the complex relationship between affect and physical activity.

Epidemiology of Atrial Fibrillation in the 21st Century: Novel Methods and New Insights

Accompanying the aging of populations worldwide, and increased survival with chronic diseases, the incidence and prevalence of atrial fibrillation (AF) are rising, justifying the term global epidemic. This multifactorial arrhythmia is intertwined with common concomitant cardiovascular diseases, which share classical cardiovascular risk factors. Targeted prevention programs are largely missing. Prevention needs to start at an early age with primordial interventions at the population level. The public health dimension of AF motivates research in modifiable AF risk factors and improved precision in AF prediction and management. In this review, we summarize current knowledge in an attempt to untangle these multifaceted associations from an epidemiological perspective. We discuss disease trends, preventive opportunities offered by underlying risk factors and concomitant disorders, current developments in diagnosis and risk prediction, and prognostic implications of AF and its complications. Finally, we review current technological (eg, eHealth) and methodological (artificial intelligence) advances and their relevance for future prevention and disease management.

Changes in Emotional Vitality as a Predictor of Levels and Change in Allostatic Load: Longitudinal Results From the Whitehall II Cohort Study

OBJECTIVE

Increasing evidence has shown an association between reduced psychological well-being and long-term morbidity. However, longitudinal studies addressing potential biobehavioral mechanisms, such as physiological function, are lacking. The aim of this study is to examine the association between changes in emotional vitality on levels and changes in allostatic load (AL), a measure of multisystem physiological dysregulation, as well as its composite risk markers.

METHODS

Participants comprised 5919 British civil servants from phases 3, 5, and 7 of the Whitehall II study. Psychological well-being was operationalized as emotional vitality. AL was measured using nine biomarkers of the cardiovascular, metabolic, and immune system. Linear mixed-effect models were used to determine the association between changes in emotional vitality between phases 3 and 5 and subsequent levels and change in AL from phases 5 to 7. Generalized linear models were used to address the association between changes in emotional vitality and individual risk markers.

RESULTS

Increase in emotional vitality was associated with a lower mean level of AL, whereas the AL slope was not markedly affected. Among the included risk markers, only interleukin-6 was weakly associated with changes in emotional vitality, with a 7% reduced risk of high levels of interleukin-6 per one-unit increase in emotional vitality.

CONCLUSION

This study found that an increase in emotional vitality was associated with subsequent lower levels, but not rate of change, of AL over time. Further research is needed to address the relationship between trajectories of psychological well-being and physiological dysregulation.

Prescribing Placebos: An Experimental Examination of the Role of Dose, Expectancies, and Adherence in Open-Label Placebo Effects

Background

Recent evidence indicates that placebo effects can occur even when patients know that they are taking a placebo, termed the open-label placebo effect.

Aim

To assess whether placebo dose (one pill per day vs. four pills per day), treatment expectancies, and adherence contribute to open-label placebo effects.

Method

Healthy undergraduate participants were randomly assigned to take one or four open-label placebo pills per day or to a no-treatment control group. Placebo-treated participants took a 5-day course of an open-label placebo described as enhancing physical (symptoms and sleep) and psychological (positive and negative emotional experience) well-being. Expectancies about placebo effectiveness and well-being were assessed at baseline, and well-being and adherence were assessed after the 5-day course of treatment.

Results

Medium-to-large open-label placebo effects were evidenced in all well-being outcomes including sleep quality. Dose did not influence these effects. Both treatment expectancies and adherence were significant independent predictors of enhanced well-being in the two psychological well-being outcomes and the experience of physical symptoms, but sleep quality improved independently.

Conclusions

This is the first study to demonstrate the effect of open-label placebos in improving well-being and sleep quality and to show that open-label placebo reposes do not appear to be dose-dependent, but for most well-being outcomes are independently predicted by both positive expectancies and treatment adherence.

Bidirectional association between depressive symptoms and type 2 diabetes mellitus: The China Health and Retirement Longitudinal Study

OBJECTIVE

To prospectively examine the bidirectional relationship between depressive symptoms and type 2 diabetes mellitus (T2DM) among middle-aged and elderly Chinese.

METHODS

Participants were enrolled in 2011-2012 (Wave 1) and followed up in 2013-2014 (Wave 2) and 2015-2016 (Wave 3) in the China Health and Retirement Longitudinal Study. Depressive symptoms were evaluated by the Chinese language version of 10-item Center for Epidemiological Studies Depression Scale (CESD-10) at three waves. T2DM was assessed by biochemical biomarkers at Wave 1 and reported physician-diagnosis at Wave 2 and 3. Cox proportional hazards regression was applied to calculate hazard ratio (HR) and 95% confidence intervals (CIs) for the bidirectional association.

RESULTS

Participants with baseline depressive symptoms were 1.33 times as likely to develop T2DM (HR, 1.33; 95% CI: 1.06, 1.66), compared to their counterparts after adjusting for demographic characteristics and T2DM risk factors. The risk of T2DM increased linearly with higher severity of depression as determined by a higher CESD-10 score (P for trend ≪ 0.001). In addition, baseline T2DM was associated with increased risk of incident depressive symptoms (1.15; 1.00, 1.31) and persistent depressive symptoms (1.35; 1.03, 1.77).

CONCLUSION

There is a positive bidirectional association between depressive symptoms and T2DM in middle-aged and elderly Chinese.

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

We present a publicly available dataset of 227 healthy participants comprising a young (N=153, 25.1±3.1 years, range 20-35 years, 45 female) and an elderly group (N=74, 67.6±4.7 years, range 59-77 years, 37 female) acquired cross-sectionally in Leipzig, Germany, between 2013 and 2015 to study mind-body-emotion interactions. During a two-day assessment, participants completed MRI at 3 Tesla (resting-state fMRI, quantitative T1 (MP2RAGE), T2-weighted, FLAIR, SWI/QSM, DWI) and a 62-channel EEG experiment at rest. During task-free resting-state fMRI, cardiovascular measures (blood pressure, heart rate, pulse, respiration) were continuously acquired. Anthropometrics, blood samples, and urine drug tests were obtained. Psychiatric symptoms were identified with Standardized Clinical Interview for DSM IV (SCID-I), Hamilton Depression Scale, and Borderline Symptoms List. Psychological assessment comprised 6 cognitive tests as well as 21 questionnaires related to emotional behavior, personality traits and tendencies, eating behavior, and addictive behavior. We provide information on study design, methods, and details of the data. This dataset is part of the larger MPI Leipzig Mind-Brain-Body database.

Depressive symptoms and adipokines in women: Study of women's health across the nation

Small clinical studies suggest depression is associated with alterations in adiponectin and leptin, adipocyte-derived secretory proteins involved in metabolic regulation; however, longitudinal data on these association are lacking. This study examined cross-sectional and longitudinal associations of depressive symptoms and major depressive disorder (MDD) with adiponectin and leptin in healthy middle-aged women (mean (SD) age, 45.6 (2.5) years). Cross-sectional analyses included 575 women with baseline adipokine data; longitudinal analyses included 262 women with 2-4 adipokine measurements over 5 years. The 20-item Center for Epidemiologic Studies Depression scale (CES-D) was used to assess depressive symptoms; history of MDD was determined by the Structured Clinical Interview for DSM-IV. Adipokines were assayed from stored serum specimens; values were log-transformed for analyses. Linear and repeated measure random effects regression models evaluated associations of baseline CES-D scores with baseline adipokine concentrations and changes over time, respectively. Secondary analyses evaluated the relation of MDD history with adipokine concentrations. Mean (SD) baseline concentrations of adiponectin and leptin were 9.90 (4.92) μg/mL and 27.02 (20.06) ng/mL; both increased over time (p < .0001). CES-D scores were associated with lower adiponectin at baseline (per 1-SD: estimate=-0.04, SE=.02, p=.03) and over time (per 1-SD: estimate=-0.055, SE = .024, p=.02). Associations were unchanged in risk factor-adjusted models. Women with elevated CES-D scores (≥16) had 6.9% (95% CI: -1.1%, 14.3%; p = .089) lower median adiponectin at baseline and 11.5% (95% CI: 1.5%, 20.4%, p = .025) lower median adiponectin over time in adjusted models, compared to women with CES-D<16. Rate of change in adipokines did not vary by baseline depressive symptoms or MDD history. Depressive symptoms and MDD history were unrelated to leptin. In women at midlife, depressive symptoms are associated with lower adiponectin, a critical anti-inflammatory biomarker involved in metabolic and cardiovascular conditions.

Incidence of cardiovascular diseases and type-2-diabetes mellitus in patients with psychiatric disorders

OBJECTIVE

To assess the incidence of cardiovascular diseases (CVD) and type-2-diabetes in patients with psychiatric disorders.

METHODS

A population-based study was conducted using the Swedish national health registries. Patients were identified from the Electronic Medical Records (EMR) in 20 primary care centers and were categorized in four diagnosis cohorts according to their first psychiatric diagnosis: bipolar disorder, schizophrenia, major depressive disorder, or other mood disorder. A control cohort of patients with no psychiatric disorders followed in the same primary care centers was also identified. Incident CVD and type-2-diabetes were defined as the presence of a diagnosis of CVD or diabetes during the follow-up period in patients without prior event.

RESULTS

The age and sex standardized incidence rate of CVD was 13.5 per 1000 patient-year in the patients with any psychiatric disorder versus 6.3 per 1000 patient-year in the controls. A similar trend was observed for incident diabetes (5.7 versus 3.4 per 1000 patient-year, respectively). The bipolar disorder and the schizophrenia cohorts showed the highest standardized incidence rates.

CONCLUSION

Incidence of CVD and to a lesser extent type-2-diabetes was particularly high in patients with psychiatric disorders. This carries strong clinical implications for the prevention of CVD and type-2-diabetes in these patients.

Factors related to metabolic parameters in medicated patients with major depressive disorder--a naturalistic study

The aim of this study was to examine the metabolic parameters, including body mass index (BMI), homeostasis model assessment-estimated insulin resistance (HOMA-IR), homeostasis model assessment-estimated pancreatic β-cell function (HOMA-β), and lipid plasma level, in medicated patients with major depressive disorder (MDD) and to assess factors related to metabolic parameters in patients with MDD. 121 patients with MDD and 63 controls were recruited. The Hamilton Depression Rating Scale (HDRS), Wisconsin Card Sorting Test (WCST), Continuous Performance Test (CPT), and Finger-Tapping Test (FTT), were administered. BMI, HOMA-IR, and HOMA-β were calculated as modifiable metabolic parameters. The FTT results and BMI in depressed patients were significantly poorer and lower, respectively, than those of the controls. However, no significant differences were noted between MDD patients and controls included metabolic parameters and other neuropsychological tests. Among depressed patients, higher BMI is significantly related with lower education, no tobacco use, and male. The result demonstrated metabolic parameters could be neutral among medicated patients with MDD, particularly in non-elderly Asian individuals. The deficits of psychomotor speed could be more prominent than other cognitive alterations in patient with MDD.

Affect, inflammation, and health in urban at-risk civilians

Positive and negative affect are both associated with health outcomes. Using validated measures, we examined associations between affect, self-reported measures of health, and objective measures of systemic inflammation in a cross-sectional sample of outpatient subjects recruited from an urban county hospital. Participants (n = 1055) recruited from the Grady Trauma Project in Atlanta, GA underwent standardized interviews including self-report measures of psychiatric symptoms and physical health. A subset (n = 246) consented to an assay of serum C-reactive protein (CRP). Regression models including positive affect as the predictor variable with covariates of age, gender, income, trauma load, depression and PTSD symptoms, were significantly associated with physical health domain scales of the Short Form-36 Health Survey (SF-36) of general health (R2 = 0.212; p < 0.001) and physical functioning (R2 = 0.154; p = 0.013). No association was observed using negative affect as the predictor variable. While greater serum CRP concentrations were associated with less positive affect (r = -0.137; p = 0.038), this relationship did not remain significant (p = 0.250) when controlling for demographic variables, body mass index, trauma load, and psychiatric symptoms. Future studies using larger samples or samples with more variance for CRP and positive and negative affect may be helpful in investigating the relationship between CRP and positive and negative affect. Our results support the hypothesis that positive affect contributes beneficially to physical health. Development of strategies to enhance positive affect in at-risk populations may be a meaningful way to improve their health.

Association between major depressive episode and risk of type 2 diabetes: A large prospective cohort study in Chinese adults

OBJECTIVE

We aimed to prospectively evaluate the association between major depressive episode (MDE) and risk of type 2 diabetes in a Chinese population.

METHODS

We used data from the China Kadoorie Biobank study, in which 461,213 participants free of diabetes, coronary heart disease, stroke, and cancer were followed from baseline (2004-2008) to December 31, 2013. A modified Chinese version of Composite International Diagnostic Interview Short-Form (CIDI-SF) was used to assess past year MDE. Participants who responded positive to depression screening questions but did not meet the diagnosis criteria were considered as having depressive symptoms only. Incident diabetes cases were identified through linkage with established regional disease registries and national health insurance databases. Cox proportional hazards regression model was used to calculate hazard ratio (HR) and 95% confidence interval (CI) for the association after adjusting for diabetes risk factors.

RESULTS

We documented 8784 incident type 2 diabetes cases during a follow-up of 3291,908 person-years. We observed a higher incidence rate of type 2 diabetes in participants with MDE than those without, and the multivariable-adjusted HR was 1.31 (95% CI 1.04-1.66). Compared with participants without depressive symptoms, the HR (95% CI) was 1.19 (1.05-1.35) for participants with depressive symptoms only and 1.32 (1.05-1.68) for those with MDE.

LIMITATIONS

The prevelance of past year MDE based on CIDI-SF was low, which might result in a selection bias.

CONCLUSIONS

In our large prospective cohort study of Chinese adults, MDE was significantly and independently associated with an increased risk of type 2 diabetes.

Prevalence of Obesity, Prediabetes, and Diabetes in Sexual Minority Women of Diverse Races/Ethnicities: Findings From the 2014-2015 BRFSS Surveys

Purpose

The purpose of this study is to assess the weighted prevalence and odds ratios of obesity, prediabetes, and diabetes by (1) female sexual orientation (lesbian, bisexual, and straight) with racial/ethnic (Hispanic, non-Hispanic black, and non-Hispanic white) groups combined and (2) across and within racial/ethnic groups by sexual orientation.

Methods

A secondary analysis of pooled 2014-2015 Behavioral Risk Factor Surveillance System data from 28 states (N = 136 878) was conducted. Rao-Scott chi-square test statistics were computed and logistic regression models were developed to assess weighted prevalence and odds ratios of obesity, prediabetes, and diabetes with adjustments for demographics (age, income, and education), depression, and health care access factors.

Results

With racial/ethnic groups combined, lesbian and bisexual women, relative to straight women, had a significantly increased likelihood for obesity when controlling for demographics. Bisexual women were found to have significantly reduced odds for diabetes, compared with straight women, with adjustments for demographics, depression, and health care access factors. Compared with their non-Hispanic white counterparts, Hispanic lesbian women had significantly increased odds for obesity and diabetes, while non-Hispanic black bisexual women had a significantly greater likelihood for obesity, holding demographics, depression, and health care access factors constant. Non-Hispanic white lesbian women had an increased likelihood for obesity relative to their straight, ethnic/racial counterparts. Prediabetes subsample analysis revealed the prevalence was low across all female sexual orientation groups.

Conclusion

Sexual minority women, particularly those of color, may be at increased risk for obesity and diabetes. Research is needed to confirm the findings.

Sex-dependent independent prediction of incident diabetes by depressive symptoms

OBJECTIVE

To study the predictive value of depressive symptoms (DeprSs) in a general population of Turkey for type 2 diabetes.

METHODS

Responses to three questions served to assess the sense of depression. Cox regression analyses were used regarding risk estimates for incident diabetes, after exclusion of prevalent cases of diabetes. Mean follow-up consisted of 5.15 (±1.4) years.

RESULTS

Depressive symptoms were present at baseline in 16.2% of the whole study sample, threefold in women than men. Reduced physical activity grade was the only significant covariate at baseline in men, while younger age and lower blood pressure were significantly different in women compared with those without DeprS. In men, presence of DeprS predicted incident diabetes at a significant 2.58-fold relative risk (95% confidence interval 1.03; 6.44), after adjustment for age, systolic blood pressure, and antidepressant drug usage. When further covariates were added, waist circumference remained the only significant predictor, while DepS was attenuated to a relative risk of 2.12 (95% confidence interval 0.83; 5.40). DeprS was not associated with diabetes in women, whereas antidepressant drug usage only tended to be positively associated.

CONCLUSION

Gender difference existed in the relationship between DeprS and incident diabetes. DeprS predicted subsequent development of diabetes in men alone, not in women. Copyright © 2016 John Wiley & Sons, Ltd.

Risk of depression among Bangladeshi type 2 diabetic patients

OBJECTIVE

The objective of this study was to examine the strength and consistency of the relationship between depression and diabetes in Bangladeshi population.

METHODS

The study was conducted at the medicine department of Bangabandhu Shiekh Mujib Medical University (BSMMU) during May 2012 to May 2013. Equal number of type 2 diabetes mellitus (T2DM) patients and non-diabetic subjects (patient attendants) were recruited from outpatient department matching for age (±2 years) and gender. Demographic and anthropometric data were collected from all the subjects. Depression was assessed using, Hospital Anxiety and Depression Scale (HADS) questionnaire. A subject with a score above 8 was considered as depressive. Baseline characteristics of diabetic and non-diabetic participants were compared using chi square test. Multivariable logistic regression was performed to assess the association between diabetes and depression adjusting for all plausible confounders in the model.

RESULTS

24.8% non-diabetic and 56.2% diabetic subjects were found to have depression. Statistically significant difference was found in income, waist-to-hip ratio between diabetic and non-diabetic subjects (P<0.001). Diabetic patients show 7-fold greater odds of having depression in comparison to their non-diabetic counterpart [OR 7.0, 95% CI (3.4, 14.3)]. Female gender appeared as significant predictor of depression [OR 4.3, 95% CI (2.1, 8.9)].

CONCLUSIONS

In Bangladeshi population, people with diabetes are 7 times more likely to have co-existing depression in comparison to non-diabetic subjects. Further studies are required to establish the nature of the relationship between depression and T2DM.

Quantitative assessment of the bidirectional relationships between diabetes and depression

Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases.

Emotional states and future risk of venous thromboembolism

Emotional states of depression and loneliness are reported to be associated with higher risk and optimism with lower risk of arterial cardiovascular disease (CVD) and death. The relation between emotional states and risk of venous thromboembolism (VTE) has not been explored previously. We aimed to investigate the associations between self-reported emotional states and risk of incident VTE in a population-based, prospective study. The frequency of feeling depressed, lonely and happy/optimistic were registered by self-administered questionnaires, along with major co-morbidities and lifestyle habits, in 25,964 subjects aged 25–96 years, enrolled in the Tromsø Study in 1994–1995. Incident VTE-events were registered from the date of inclusion until September 1, 2007. There were 440 incident VTE-events during a median of 12.4 years of follow-up. Subjects who often felt depressed had 1.6-fold (95% CI:1.02–2.50) higher risk of VTE compared to those not depressed in analyses adjusted for other risk factors (age, sex , body mass index, oes-trogens), lifestyle (smoking, alcohol consumption, educational level) and co-morbidities (diabetes, CVD, and cancer). Often feeling lonely was not associated with VTE. However, the incidence rate of VTE in subjects who concurrently felt often lonely and depressed was higher than for depression alone (age-and sex-adjusted incidence rate: 3.27 vs. 2.21). Oppositely, subjects who often felt happy/optimistic had 40% reduced risk of VTE (HR 0.60, 95% CI: 0.41–0.87). Our findings suggest that self-reported emotional states are associated with risk of VTE. Depressive feelings were associated with increased risk, while happiness/ optimism was associated with reduced risk of VTE.

Association between Healthcare Utilization and Depression in Korean Women with Cardiovascular Conditions

OBJECTIVE

This study aimed to examine the associations between depression and both coronary artery disease (CAD) and cardiovascular risk factors (CVRs) in Korean women. Furthermore, this study sought to determine whether depression was associated with use of healthcare services in women with CAD or CVRs.

METHODS

This cross-sectional study was conducted on 26,335 women who were aged 19 years or older, and who participated in the Korean National Health and Nutrition Examination Survey (2007-2014). Associations of prior diagnosis of depression with CAD and CVRs and with nonutilization of healthcare services were investigated.

RESULTS

Women with depression had a higher prevalence of CAD and CVRs including obesity, hypertension, dyslipidemia, and metabolic syndrome than those without depression. In addition, depression was significantly associated with nonutilization of healthcare services in women with most CVRs.

CONCLUSION

Considering the high rate of comorbid depression with CAD or CVRs and the low lvels of health service utilization in depressed patients, screening for common CVRs, such as obesity, hypertension, and dyslipidemia, should be provided for patients with depression in mental health care settings.

The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) study: Design and methods to address mental healthcare gaps in India

INTRODUCTION

Depression and diabetes are highly prevalent worldwide and often co-exist, worsening outcomes for each condition. Barriers to diagnosis and treatment are exacerbated in low and middle-income countries with limited health infrastructure and access to mental health treatment. The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) study tests the sustained effectiveness and cost-effectiveness of a multi-component care model for individuals with poorly-controlled diabetes and depression in diabetes clinics in India.

MATERIALS AND METHODS

Adults with diabetes, depressive symptoms (Patient Health Questionnaire-9 score≥10), and ≥1 poorly-controlled cardiometabolic indicator (either HbA1c≥8.0%, SBP≥140mmHg, and/or LDL≥130mg/dl) were enrolled and randomized to the intervention or usual care. The intervention combined collaborative care, decision-support, and population health management. The primary outcome is the between-arm difference in the proportion of participants achieving combined depression response (≥50% reduction in Symptom Checklist score from baseline) AND one or more of: ≥0.5% reduction in HbA1c, ≥5mmHg reduction in SBP, or ≥10mg/dl reduction in LDL-c at 24months (12-month intervention; 12-month observational follow-up). Other outcomes include control of individual parameters, patient-centered measures (i.e. treatment satisfaction), and cost-effectiveness.

RESULTS

The study trained seven care coordinators. Participant recruitment is complete - 940 adults were screened, with 483 eligible, and 404 randomized (196 to intervention; 208 to usual care). Randomization was balanced across clinic sites.

CONCLUSIONS

The INDEPENDENT model aims to increase access to mental health care and improve depression and cardiometabolic disease outcomes among complex patients with diabetes by leveraging the care provided in diabetes clinics in India (clinicaltrials.gov number: NCT02022111).

Metabolic Effects of Antidepressant Treatment

INTRODUCTION

This study aimed to investigate body measurements, glucose-insulin metabolism, and lipid profile in patients with anxiety and depressive symptoms and also the effects of antidepressant drugs on these metabolic parameters.

METHODS

The study included 40 outpatients and 32 healthy controls. The patients received antidepressant treatment (sertraline, escitalopram, fluoxetine, and venlafaxine) for 8 weeks. Body measurements were performed, and lipid, fasting blood glucose, and insulin levels were measured before and after treatment in patients and once in healthy controls. Insulin resistance was evaluated using the homeostasis model assessment (HOMA) index.

RESULTS

Body mass index was higher in patients than in healthy controls, and there was no change in patients after treatment. In patients, high-density lipoprotein (HDL) cholesterol levels increased owing to the antidepressant treatment. Insulin level and HOMA index had a tendency to decrease with the treatment in patients and were similar to those of healthy controls before the treatment; however, they became lower than those of healthy controls after the treatment. There was an increase in waist circumference and total and HDL cholesterol levels, whereas there was a decrease in fasting blood glucose levels with treatment in patients using escitalopram. There was no change in body measurements and biochemical and hormone values in patients using fluoxetine, sertraline, and venlafaxine. There was an increase in weight, body mass index, and waist circumference after treatment in patients with depression; however, there was no change in patients with anxiety.

CONCLUSION

In patients with psychiatric disorders having anxiety and depressive symptoms, metabolic changes independent of drugs and the metabolic effects of drugs are present.

Female sex, young age, northern German residence, hypoglycemia and disabling diabetes complications are associated with depressed mood in the WHO-5 questionnaire - A multicenter DPV study among 17,563 adult patients with type 2 diabetes

BACKGROUND

Like other mental illnesses, depression is a culturally sensitive topic. Hence, findings cannot be transferred between countries. We investigated the frequency of depressed mood and its association with diabetes-related factors in a large type 2 diabetes (T2D) cohort from real-life care in Germany.

METHODS

17,563 adults (median [IQR]: 64.5[55.9-71.1] years) from the multicenter diabetes follow-up registry, DPV (diabetes prospective follow-up), were investigated. All had completed the WHO-5 questionnaire, a screening tool for depression. Logistic regression was applied to study the association of demographic and diabetes-related factors with depressed mood (SAS 9.4). P<0.05 was considered significant.

RESULTS

Using a WHO-5 cut-off of <13, 27.4% of patients were at risk for depressed mood. A clinical depression diagnosis was recognized in 8.4%. Female sex (OR: 1.5[95%-CI: 1.4-1.6]), young age (1.2[1.1-1.4]), longer diabetes duration (1.2[1.1-1.3]), and living in Northern Germany (1.3[1.2-1.4]) were each associated with increased odds for depressed mood. After adjusting for these confounders, worse glycemic control (1.4[1.3-1.5]), insulin use (1.3[1.2-1.4]), myocardial infarction (1.3[1.2-1.5]), stroke (1.8[1.5-2.0]), retinopathy (1.4[1.3-1.6]), renal failure (1.4[1.2-1.8]), diabetic foot syndrome (1.3[1.2-1.4]), severe hypoglycemia (1.5[1.2-1.9]), two or more inpatient admissions (2.1[1.8-2.4]), and longer duration of hospital stay (1-<14 days: 1.3[1.2-2.3]; >14 days: 2.1[1.9-2.3]) were related to depressed mood.

LIMITATION

Due to the cross-sectional design, no causality can be drawn.

CONCLUSIONS

In T2D, depressed mood is not uncommon. However, in routine care a clinical depression might be missed and regular screening is advisable. Besides the well-known associations with depressed mood, northern German residence and mainly life-compromising diabetes comorbidities were identified as related factors.

Psychological conditions in adults with diabetes

Type 1 (T1D) and Type 2 diabetes (T2D) represent a demanding set of biopsychosocial challenges for patients and their families, whether the age of disease onset occurs in childhood, adolescence, or adulthood. Psychological conditions, defined as syndromes, disorders, and diabetes-specific psychological issues affect a larger proportion of individuals with T1D and T2D compared to the general population. In this review, we summarize the prevalence, impact and psychological treatments associated with the primary categories of psychological conditions that affect adults with T1D and T2D: depressive symptoms and syndromes, anxiety disorders, eating behaviors and disorders and serious mental illness. The implications of the literature for psychologists are discussed, and priorities for future research to advance the science of psychological conditions for adults with T1D and T2D are identified. (PsycINFO Database Record

Baseline Depressive Symptoms, Completion of Study Assessments, and Behavior Change in a Long-Term Dietary Intervention Among Breast Cancer Survivors

Background

Depressive symptoms can lower adherence and change in dietary studies. Behavioral activation may reduce these effects.

Purpose

This study aims to assess relationships among depressive symptoms on adherence and dietary change in the Women’s Healthy Eating and Living (WHEL) Study

Methods

Secondary analyses from the WHEL Study, which achieved major dietary change in breast cancer survivors (N = 2817), were conducted. Logistic regressions were undertaken of baseline depressive symptoms (six-item Center for Epidemiologic Studies Depression Scale (CES-D)) with (1) completion of 1- and 4-year study assessments and (2) validated change in dietary behavior in the intervention group.

Results

In the comparison group (vs. intervention), depressive symptoms lowered completion of dietary recalls and clinic visits [4 years: odds ratio (OR) = 2.0; 95 % confidence interval (CI) = 1.4–3.0]. The behaviorally oriented intervention achieved major change in those furthest from study targets, although changes were lower in those with depressive symptoms: fruit/vegetable (+37.2 %), fiber (+49.0 %), and fat (−22.4 %).

Conclusions

Behavioral activation in dietary change interventions can overcome the impact of depressive symptoms.

An 8-Year Prospective Study of Depressive Symptoms and Change in Insulin From Adolescence to Young Adulthood

OBJECTIVE

To evaluate whether depressive symptoms predict change in fasting insulin among adolescents followed into young adulthood. We hypothesized that higher depressive symptoms would predict increased insulin and that puberty and race/ethnicity would moderate this relationship.

METHODS

Data came from the Princeton School District Study, a school-based longitudinal cohort of non-Hispanic black and white adolescents (2001-2011). Depressive symptoms, fasting insulin, and body mass index were measured at baseline (adolescence) and 8 years later (young adulthood) in 685 participants. Puberty was assessed using a validated protocol measuring sex steroids and physical changes. The primary outcome was change in fasting insulin. Analyses accounted for age, sex, race, parental education, baseline insulin, body mass index z score, puberty, and time to follow-up.

RESULTS

At baseline, depressive symptoms were correlated with insulin (ρ = 0.13, p = .001). High baseline insulin predicted insulin change (B = -11.50, standard error [SE] = 2.30, p < .001). Depressive symptoms also predicted insulin change, but only for pubertal adolescents (B = -0.23, SE = 0.11, p = .038). This relationship was moderated by race (p = .047); depressive symptoms predicted insulin change only among pubertal black adolescents (p = .030), not white (p = .49), and in the direction opposite that hypothesized (Bblacks = -0.51, SE = 0.23). Post hoc analyses revealed that pubertal black adolescents with high depressive symptoms had the highest baseline insulin, which stayed high across the follow-up period.

CONCLUSIONS

Among pubertal black adolescents, elevated depressive symptoms are associated with increased risk for sustained hyperinsulinemia from adolescence into adulthood. These youths may be particularly vulnerable for Type 2 diabetes.

Adverse childhood events and current depressive symptoms among women in Hawaii: 2010 BRFSS, Hawaii

Research on the association between adverse childhood events (ACEs) and depression among women in Hawaii is scarce. ACEs have been linked to unfavorable health behaviors such as smoking and binge drinking which are more prevalent in the state compared to the US overall. The concomitant presence of ACEs with smoking or binge drinking may explain the excess depression prevalence in Hawaii compared to the national average. Using data of women residing in the state (2010 Hawaii Behavioral Risk Factor Surveillance System Survey), we examined the association between ACEs count or type (household dysfunction and physical, verbal and sexual abuse) and current depressive symptoms (CDS), in addition to modification by current smoking status (smoked >100 cigarettes in a lifetime and currently smoke) and binge drinking (consumed ≥4 alcoholic beverage within the past month and in ≥1 occasion(s)). Evaluation of ACEs before age 18 consisted of 11 indicators. Eight indicators of the Patient Health Questionnaire (PHQ-8) were used to assess CDS. All analyses utilized logistic regression taking into account sampling design. The odds ratio of having CDS between those with versus without ACEs increased per increasing number of ACEs (1 ACE: OR = 2.11, CI = 1.16-3.81; 2 ACEs: OR = 2.90, CI = 1.51-5.58; 3 or 4 ACEs: OR = 3.94, CI = 2.13-7.32; 5+ ACEs: OR = 4.04, CI = 2.26-7.22). Household dysfunction (OR = 2.10, CI = 1.37-3.23), physical abuse (OR = 1.67, CI = 1.08-2.59), verbal abuse (OR = 3.21, CI = 2.03-5.09) and sexual abuse (OR = 1.68, CI = 1.04-2.71) were all positively associated with CDS. Verbal abuse had the strongest magnitude of association. Neither current smoking status nor binge drinking modified the relationship between ACEs count (or type) and CDS. In conclusion, the presence of ACEs among women in Hawaii was indicative of CDS in adulthood, notably verbal abuse. Further, a dose response existed between the number of ACEs and the odds for CDS. The concomitant exposure to ACEs and current smoking status or binge drinking did not elevate odds for CDS.

Sex differences in the association between depression, anxiety, and type 2 diabetes mellitus

BACKGROUND

Depression and anxiety have been inconsistently associated with diabetes. Sex differences in the biological and behavioral correlates of these forms of distress could partially explain these inconsistencies. We investigated sex-specific associations between depression/anxiety symptoms and diabetes in two separate samples.

METHODS

The First National Health and Nutrition Examination Survey enrolled 3233 participants aged 25 to 74 years from 1971 to 1974. Depression and anxiety symptoms were measured via General Well Being schedule subscales. Incident diabetes for 17 years was defined by the following: a) death certificate, b) participant self-report, or c) health care facility discharge. The Detroit Neighborhood Health Study enrolled 1054 participants 18 years or older from 2008 to 2010. The Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 assessed depression and anxiety. Participants' self-reported physician-diagnosed prevalent diabetes.

RESULTS

In the First National Health and Nutrition Examination Survey, the risk ratio (RR; 95% confidence interval) for incident diabetes among men with high versus low anxiety symptoms was 0.85 (0.56-1.29) and that among women was 2.19 (1.17-4.09; p for interaction = .005). RRs comparing high versus low depressive symptoms for men and women were 0.69 (0.43-1.100) and 2.11 (1.06-4.19); p for interaction = .007. In the Detroit Neighborhood Health Study, the RRs for prevalent diabetes comparing those with high versus low anxiety symptoms were 0.24 (0.02-2.42) for men and 1.62 (0.61-4.32) for women (p for interaction = < .001), whereas RRs for depression were 1.30 (0.46-3.68) for men and 2.32 (1.10-4.89) for women (p for interaction = .16).

CONCLUSIONS

In two separate samples, depressive symptoms were related to increased diabetes risk among women but not men. Although less robust, findings for anxiety were differentially associated with diabetes by sex.

Relationship between hypothalamic-pituitary-adrenal axis dysregulation and insulin resistance in elderly patients with depression

Cortisol dysregulation has been proposed to be involved in depression. Hypothalamic-pituitary-adrenal (HPA) axis dysregulation associated with major depressive disorder (MDD) was previously reported to be higher in the elderly. Furthermore, insulin resistance and the prevalence of type 2 diabetes are known to increase with aging. The aim of the present study was to determine whether a relationship existed between plasma cortisol levels following the dexamethasone/corticotrophin-releasing hormone (DEX/CRH) test and insulin resistance evaluated by the homeostasis model assessment of insulin resistance (HOMA-R) in elderly MDD subjects. Fifteen unmedicated MDD inpatients and 17 age- and sex-matched healthy controls participated in this study. After overnight fasting, blood samples were collected to measure plasma glucose and insulin concentrations, estimate HOMA-R, and perform the DEX/CRH test to evaluate HPA axis function. The value of the area under the time curve of plasma cortisol concentrations (CortAUC) and peak cortisol values (Cortpeak) following the administration of DEX/CRH both correlated with HOMA-R in MDD group. In contrast, neither CortAUC nor Cortpeak correlated with HOMA-R in controls. This is the first study to directly demonstrate the relationship between HPA axis dysregulation assessed with the DEX/CRH test and the index of insulin resistance estimated as HOMA-R in elderly MDD patients.