An attempt to explain the bidirectional association between ischaemic heart disease, stroke and depression: a cohort and meta-analytic approach

Prevalence and network structure of depression, anxiety and adverse doctor-patient relationship risks among patients with physical diseases: A cross-sectional study

BACKGROUND

Mental health issues among patients with physical diseases are increasingly common. This study investigated the prevalence of depression, anxiety, and adverse doctor-patient relationship risks (ADRR) among patients with physical diseases, and the central and bridge symptoms of this network structure.

METHODS

A total of 14,344 patients with physical diseases enrolled in this survey. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Psychological Safety Questionnaire were used to evaluate anxiety, depression, and ADRR. The "qgraph" package in R 4.4.3 was used to construct a network model to identify central and bridge symptoms.

RESULTS

The prevalence rates of depression, anxiety, and ADRR were found to be 9.52 % (95 % confidence interval (CI): 9.04-10.00 %), 19.35 % (95 % CI: 18.71-20.00 %), and 4.29 % (95 % CI: 3.96-4.62 %), respectively. Within the network structure, the central symptoms identified were 'Sad mood,' 'Restlessness,' and 'Excessive worry,' which also served as the bridge symptoms. The flow network analysis revealed that ADRR exhibited the strongest associations with 'Anhedonia', 'Restlessness', and 'Suicidal ideation'. Additionally, 'Suicidal ideation' shows strongest correlations with 'Guilt', 'Concentration', and 'Restlessness'.

LIMITATION

The generalizability of the study's findings is constrained, as the sample consisted exclusively of inpatients, potentially limiting applicability to non-hospitalized individuals with physical illnesses.

CONCLUSION

This study provides novel insights into the comorbidity of depression, anxiety, and ADRR at the symptom level in patients with physical diseases through the application of network analysis. The identification of bridge symptoms highlights potential targets for interventions aimed at addressing the comorbidity among these disorders.

A mutation in the transmembrane domain of Adenylate cyclase 3 impairs enzymatic function to cause sex-specific depression- and anxiety-like behaviors and food seeking in a rat model

We have previously demonstrated that a transmembrane domain mutation in Adenylate cyclase 3 ( Adcy3 ) causes increased adiposity and negative emotion-like behaviors in a rat model. We set out to replicate and expand upon our previous study by conducting comprehensive behavioral testing, and we also investigated the molecular changes that result from this mutation. Rats with a mutation in the second transmembrane helix of ADCY3 (Adcy3 mut/mut ) and wild-type rats were fed a high-fat diet for 12 weeks. We measured body weight, body composition, and depression-like and anxiety-like behaviors using the following tests: sucrose splash test, sucrose preference test, forced swim test, open field test, elevated plus maze, successive alleys test, and novelty-suppressed feeding. We also measured serum leptin levels, hypothalamic cyclic AMP (cAMP) production, and membrane fraction ADCY3 content. Adcy3 mut/mut male and female rats had increased adiposity. Adcy3 mut/mut males showed increased despair- and anxiety-like behaviors, food seeking, and higher leptin levels relative to wild-type males. Adcy3 mut/mut females showed only mildly increased anxiety-like behaviors relative to wild-type females. Adcy3 mut/mut rats of both sexes had decreased cAMP production in the hypothalamus, with no changes in ADCY3 content in the membrane fraction. We conclude that the transmembrane domain of ADCY3 plays a critical role regulating adiposity and behavior, as well as cAMP production. There were key differences between males and females for the observed phenotypes. This study supports the idea that Adcy3 contributes to emotion-like behaviors and potentially mental health disorders, and that the transmembrane domain of ADCY3 is important for protein function.

Contribution of depression and cardiometabolic diseases and the role of depression treatment in survival and functioning in older adults

Background

Achieving survival free from physical disability or neurocognitive impairment, known as disability-free survival (DFS), is a key public health goal. This study aimed to (1) determine the long-term interactive effects of depression and cardiometabolic diseases (CMDs) on DFS, and (2) explore any associated antidepressant treatment effect on improvements in DFS among older adults.

Methods

We used data from the ASPREE trial and its observational follow-ups (2010-2019), involving community-dwelling adults aged ≥ 70 years (≥65 for U.S. minorities). Time-updated Cox models were used to estimate the combined effect of depression and CMDs (type 2 diabetes, dyslipidemia, hypertension, chronic kidney disease, metabolic-associated steatotic liver disease, and major adverse cardiovascular events) as well as cardiometabolic multimorbidity (≥2 CMDs) on DFS. To evaluate the improvement in DFS associated with antidepressant treatment in individuals with depression, we estimated the number needed to treat (NNT) to achieve a one-year increase in DFS through antidepressant therapy.

Findings

18,739 participants (mean [SD] age, 75.1 [4.6] years; 56.0% female) were included, with a median follow-up of seven years; individuals with both depression and CMDs demonstrated a significantly lower DFS compared to those without either condition. In individuals with depressive symptoms, antidepressant use was associated with a median increase in DFS of 2.95 years (95% CI, 2.12-3.04), with an estimated NNT of 8.05 (95% CI, 5.63-14.86) associated with a one-year increase in DFS.

Interpretation

Integrating depression treatment into chronic disease management, when appropriate, is associated with an improvement in DFS among older adults.

Funding

Deakin University Postgraduate Research Scholarship.

Few Patients Are Treated for Both Obesity and Depression

OBJECTIVES

Understanding the epidemiology of treatment for patients with co-occurring depression and obesity can inform care quality. The objective of the study was to identify how patients with obesity and newly diagnosed depression are treated and whether treatment is associated with body mass index change.

METHODS

This cohort study included adults with obesity and newly diagnosed depression who had ≥2 primary care visits between 2015 and 2020 at a large integrated health system. Treatment within 45 days of a depression diagnosis was identified, including antiobesity medication and group or individual weight management visits (eg, bariatric medicine); antidepressant prescriptions; or visits with a psychologist, social worker, or psychiatrist. Patients were grouped into treatment groups: none, depression only, weight management only, or both. Generalized structural equation models were used to identify the association between treatment group and body mass index change at 6 and 12 months, accounting for demographic and health characteristics as fixed variables and clinician identifier as a random variable.

RESULTS

Of the 13,729 adults, 43% received depression treatment, 3% received weight management treatment, and 4% received both. Individuals who received weight management treatment only lost more weight at 6 months (β = -1.0 kg/m2) and 12 months (β = -1.07 kg/m2) than individuals with no treatment. Individuals who had both treatments lost more weight than individuals with depression treatment alone (6 months: β = -1.07 kg/m2; 12 months: β = -1.21 kg/m2) and underwent a similar average change than those who received weight management treatment alone (P > 0.05).

CONCLUSIONS

There is an opportunity to increase treatment for obesity among patients with newly diagnosed depression.

Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BACKGROUND

Older adults with heart disease often experience higher rates of comorbid anxiety and depression. This study examined depression and anxiety network structures among older adults with heart disease and their heart disease free peers.

METHODS

Network analyses of secondary cross-sectional data from the 2017 to 2018 wave of CLHLS were used to construct groups of older adults with and without heart disease using propensity score matching. Depression and anxiety symptoms were assessed using Center for Epidemiological Studies Depression Scale and Generalized Anxiety Disorder Scale, respectively. Central symptoms and bridge symptoms were identified using expected influence.

RESULTS

1689 older adults with heart disease and matched control sample of 1689 older adults without heart disease were included. The prevalence and severity of depression and anxiety were significantly higher in older adults with heart disease compared to the control group. There was no significant difference in overall structures of depression and anxiety network models between two the groups. Key central symptoms and bridge symptoms within these groups were highly similar; GAD 2 "Uncontrollable worrying" and GAD 4 "Trouble relaxing" were identified as the most central symptoms, while GAD 1 "Nervousness" and CESD 1 "Feeling bothered" were identified as key bridge symptoms across both network models.

CONCLUSION

Depression and anxiety are more prevalent in older adults with heart disease than demographically-matched heart disease free controls. However, network structures of these symptoms do not differ between two groups. Accordingly, depression and anxiety psychosocial interventions developed for older adults without heart disease may also benefit older adults with heart disease.

Association between cardiorenal syndrome and depressive symptoms among the US population: a mediation analysis via lipid indices

BACKGROUND

Cardiovascular diseases (CVD), chronic kidney disease (CKD), and lipids are positively correlated with the presence of depressive symptoms. However, investigation into the complex link that exists between cardiorenal syndrome (CRS) and lipid indices and depression remains scarce.

METHODS

This study analyzed data from 11, 729 adults in the National Health and Nutritional Examination Surveys from 2005 to 2018. Weighted regression analysis was employed to examine the relationships between CRS and depression, CRS and the Patient Health Questionnaire-9 score, and lipid indices with depression. The restricted cubic spline analysis was used to determine whether there is a linear association between lipid indices and depression. Smooth curve fitting was employed to illustrate the relationship between lipids, depression, and cardiorenal diseases. Subgroup and sensitivity analyses were also conducted to enhance the stability of the results. Finally, we applied mediation analysis to explore whether the Atherogenic Index of Plasma (AIP), triglyceride glucose (TyG) index, and remnant cholesterol (RC) mediate the association between CRS and depression.

RESULTS

After applying propensity score matching (PSM), 1,509 adults remained in the study. After PSM, more remarkable results were rendered that CRS was associated with depression compared with non-CRS (OR: 1. 240, 95% CI: 1. 237 ~ 1. 243), only-CVD (OR: 0. 646, 95% CI: 0. 644 ~ 0. 649), and only-CKD (OR: 1.432, 95% CI: 1.428 ~ 1.437) in a fully corrected model. Smooth curve fitting shows that the intersection point of the lines of CRS and non-CRS occurs at a higher value on the horizontal axis than the intersection point of the lines representing CVD and non-CVD. In the fully corrected model, AIP, TyG, and RC did not independently mediate the association between CRS and depression.

CONCLUSION

There was a significant association between CRS and depression and a linear relationship between AIP, TyG, and RC and depression. However, the above lipid indicators did not mediate the association between CRS and depression.

Understanding Major Depressive Disorder in Singapore: Insights from the second Singapore Mental Health Study (SMHS 2016)

BACKGROUND

Major Depressive Disorder (MDD) poses significant public health challenges globally and in Southeast Asia, with substantial impairment and disease burden. Understanding its prevalence and associated risk factors is crucial for effective intervention.

METHODS

This study aims to describe the prevalence shifts, correlates, and comorbidities of MDD in Singapore. Data were collected from the second Singapore Mental Health Study (SMHS 2016), a national cross-sectional survey comprising 6126 adult residents. The WHO Composite International Diagnostic Interview assessed MDD and comorbidities. Statistical analyses, including logistic regression, were conducted to examine the associations and trends.

RESULTS

The lifetime weighted prevalence of MDD in SMHS 2016 was 6.2 %, with an overall increase from 5.8 % in 2010. Significant associations were found between MDD and age, marital status, and comorbid physical disorders. Young adults and divorced/separated individuals exhibited higher MDD prevalence. Chronic pain was significantly associated with MDD.

LIMITATIONS

The study's cross-sectional design limits causal inference, and selective non-response might affect prevalence estimates. However, the study benefits from a large, nationally representative sample and standardized methodologies.

CONCLUSIONS

Young and middle-aged adults, and divorced/separated individuals demonstrate elevated MDD prevalence, warranting targeted interventions. Individuals with comorbidities, particularly chronic pain, constitute a high-risk and vulnerable population. Comprehensive assessment and treatment plans should involve multidisciplinary teams and integrated care approaches to better address the complex needs of these individuals. Our study also highlights specific interventions for schools, families, communities, and workplaces. Despite Singapore's relatively low prevalence compared to Western nations, MDD remains cross-culturally valid emphasizing the need for early intervention and preventive public health measures.

Proceedings of PRINCETON IV: PDE5 inhibitors and cardiac health symposium

INTRODUCTION

Prior consensus meetings have addressed the relationship between phosphodiesterase type 5 (PDE5) inhibition and cardiac health. Given significant accumulation of new data in the past decade, a fourth consensus conference on this topic was convened in Pasadena, California, on March 10 and 11, 2023.

OBJECTIVES

Our meeting aimed to update existing knowledge, assess current guidelines, and make recommendations for future research and practice in this area.

METHODS

An expert panel reviewed existing research and clinical practice guidelines.

RESULTS

Key findings and clinical recommendations are the following: First, erectile dysfunction (ED) is a risk marker and enhancer for cardiovascular (CV) disease. For men with ED and intermediate levels of CV risk, coronary artery calcium (CAC) computed tomography should be considered in addition to previous management algorithms. Second, sexual activity is generally safe for men with ED, although stress testing should still be considered for men with reduced exercise tolerance or ischemia. Third, the safety of PDE5 inhibitor use with concomitant medications was reviewed in depth, particularly concomitant use with nitrates or alpha-blockers. With rare exceptions, PDE5 inhibitors can be safely used in men being treated for hypertension, lower urinary tract symptoms and other common male disorders. Fourth, for men unresponsive to oral therapy or with absolute contraindications for PDE5 inhibitor administration, multiple treatment options can be selected. These were reviewed in depth with clinical recommendations. Fifth, evidence from retrospective studies points strongly toward cardioprotective effects of chronic PDE5-inhibitor use in men. Decreased rates of adverse cardiac outcomes in men taking PDE-5 inhibitors has been consistently reported from multiple studies. Sixth, recommendations were made regarding over-the-counter access and potential risks of dietary supplement adulteration. Seventh, although limited data exist in women, PDE5 inhibitors are generally safe and are being tested for use in multiple new indications.

CONCLUSION

Studies support the overall cardiovascular safety of the PDE5 inhibitors. New indications and applications were reviewed in depth.

Bidirectional Associations Between Cardiometabolic Multimorbidity and Depression and Mediation of Lifestyles: A Multicohort Study

Background

Cardiometabolic multimorbidity (CMM) and depression are major health concerns, and the onset of either condition may heighten the risk of developing the other.

Objectives

The goal of this study was to characterize the reciprocal associations between CMM and depression among middle-aged and older adults.

Methods

This multicohort study used harmonized data from 5 prospective cohorts from China, South Korea, the United States, the United Kingdom, and Europe. Cardiometabolic diseases (CMDs) (including diabetes, heart diseases, and stroke) and depression were assessed at baseline and at 7 to 8 years' follow-up. Lifestyle factors, including physical activity, alcohol consumption, and smoking status, were regarded as potential mediators. Two sets of analyses, CMM-depression analyses (n = 67,188) and depression-CMM analyses (n = 65,738), were conducted to explore the bidirectional associations between CMM and depression.

Results

In the CMM-depression analyses, 16,596 (24.7%) individuals developed depression. Participants with a single CMD (HR: 1.24; 95% CI:1.19-1.29) and CMM (HR: 1.52; 95% CI: 1.42-1.63) at baseline had higher risks of depression occurring. Physical activity and alcohol consumption significantly mediated 7.5% and 6.9% of the CMM-depression association, respectively. In the depression-CMM analyses, 1,461 (2.2%) participants developed CMM. The HR for developing CMM was 1.31 (95% CI: 1.14-1.50) in patients with depression, with increased risk of developing more CMDs. Physical activity and alcohol consumption mediated 12.0% and 7.1% of the depression-CMM association. The bidirectional relationships were more pronounced in Western countries than in Asian countries.

Conclusions

CMM and depression were bidirectionally associated. The mediated effects of lifestyle factors were larger in the depression-lifestyle-CMM pathway than in the CMM-lifestyle-depression pathway.

High-density lipoprotein cholesterol abnormalities correlate with severe fatigue in major depressive disorder: A cross-sectional study

OBJECTIVES

This cross-sectional study aimed to characterize the differences of metabolic profiles and atherogenicity between various levels of fatigue severity in patients with major depressive disorder (MDD), and examine the extent to which metabolic abnormality correlates with fatigue severity.

METHODS

We recruited 119 patients with MDD and assessed fatigue severity using Krupp's Fatigue Severity Scale. Blood samples were collected to determine plasma levels of fasting glucose, high-density lipoprotein cholesterol (HDL-C), triglycerides, total cholesterol and low-density lipoprotein cholesterol. The atherogenic index of plasma (AIP) was calculated as log10 (triglycerides/HDL-C).

RESULTS

MDD with severe fatigue were more likely to be younger (43.3 ± 10.3 years vs. 49.4 ± 8.5 years, p = 0.001), had a younger age of onset (34.7 ± 9.7 years vs. 40.7 ± 9.5 years, p = 0.001), demonstrated higher HAMD scores (18.0 ± 7.6 vs. 10.9 ± 7.5, p < 0.001), as well as lower HDL-C levels (48.5 ± 10.8 vs. 55.3 ± 13.9, p = 0.003), a greater prevalence of low HDL-C (43.9% vs. 22.6%, p = 0.015) and higher AIP levels (0.4 ± 0.3 vs. 0.3 ± 0.3, p = 0.046). Both a decreased plasma HDL-C level (OR = 0.95, 95% CI = 0.91-0.99, p = 0.009) and a diagnosis of low HDL-C (OR = 3.29, 95% CI = 1.27-8.57, p = 0.015) were significantly correlated with an increased risk of fatigue severity.

CONCLUSION

HDL-C could potentially protect patients with MDD from severe fatigue and the associated risk of cardiovascular disease.

Health outcomes and healthcare utilization associated with four undiagnosed chronic conditions: evidence from nationally representative survey data in Sri Lanka

Background

Low awareness of chronic conditions raises the risk of poorer health outcomes and may result in healthcare utilization and spending in response to symptoms of undiagnosed conditions. Little evidence exists, particularly from lower-middle-income countries, on the health and healthcare use of undiagnosed people with an indication of a condition. This study aimed to compare health (physical, mental, and health-related quality of life (HRQoL)) and healthcare (inpatient and outpatient visits and out-of-pocket (OOP) medical spending) outcomes of undiagnosed Sri Lankans with an indication of coronary heart disease (CHD), hypertension, diabetes, and depression with the outcomes of their compatriots who were diagnosed or had no indication of these conditions.

Methods

This study used a nationally representative survey of Sri Lankan adults to identify people with an indication of CHD, hypertension, diabetes, or depression, and ascertain if they were diagnosed. Outcomes were self-reported measures of physical and mental functioning (12-Item Short Form Survey (SF-12)), HRQoL (EQ-5D-5L), inpatient and outpatient visits, and OOP spending. For each condition, we estimated the mean of each outcome for respondents with (a) no indication, (b) an indication without diagnosis, and (c) a diagnosis. We adjusted the group differences in these means for socio-demographic covariates using ordinary least squares (OLS) regression for physical and mental function, Tobit regression for HRQoL, and a generalized linear model (GLM) for healthcare visits and OOP spending.

Results

An indication of each of CHD and depression, which are typically symptomatic, was associated with a lower adjusted mean of physical (CHD -2.65, 95% CI -3.66, -1.63; depression -5.78, 95% CI -6.91, -4.64) and mental functioning (CHD -2.25, 95% CI -3.38, -1.12; depression -6.70, 95% CI -7.97, -5.43) and, for CHD, more annual outpatient visits (2.13, 95% CI 0.81, 3.44) compared with no indication of the respective condition. There were no such differences for indications of hypertension and diabetes, which are often asymptomatic.

Conclusions

Living with undiagnosed CHD and depression was associated with worse health and, for CHD, greater utilization of healthcare. Diagnosis and management of these symptomatic conditions can potentially improve health partly through substitution of effective healthcare for that which primarily responds to symptoms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s44263-024-00075-0.

The mediating role of sleep disturbance in the relationship between depression and cardiovascular disease

Background

Studies suggest that both depression and disrupted sleep disturbance are linked to cardiovascular disease (CVD). However, the precise role of sleep disturbance in the connection between depression and CVD is poorly understood. Therefore, we sought to examine the associations among these factors and further explore the mediating role of sleep disturbance in the association between depression and CVD.

Methods

This study included data from 29,831 adults (≥20 years old). Multifactorial logistic regression analyses were conducted to examine the relationships among depression, sleep disturbance, and CVD. Additionally, bootstrap tests were used to investigate whether the association between depression and CVD was mediated by sleep disturbance.

Results

Our research showed that individuals who experienced depression or sleep disturbance had a notably greater likelihood of developing CVD than those who did not have these issues (depression: OR: 2.21, 95% CI=1.96-2.49; sleep disturbance: OR: 1.74, 95% CI=1.6-1.9). Even after adjusting for potential confounders, depression was still positively associated with the risk of sleep disturbance (OR: 4.07, 95% CI=3.73-4.44). Furthermore, sleep disturbance significantly mediated the association between depression and CVD, with a mediating effect of 18.1%.

Conclusion

Our study demonstrated that depression, sleep disturbance, and CVD are interrelated. The increased risk of CVD among patients with depression may be attributed to the mediating role of sleep disturbance. This finding underscores the importance of interventions focused on sleep disturbances as a means to address the connection between depression and CVD.

Mediation of the association between depression and coronary heart disease by metabolic syndrome components

BACKGROUND

Depression is associated with incident coronary heart disease (CHD) via a pathway that may be causal, but the mechanisms underlying this association are unclear. We assessed the extent to which metabolic syndrome (MetS) and its components (i.e., elevated waist circumference, low high-density lipoprotein [HDL] cholesterol, elevated triglycerides, elevated blood pressure, and elevated fasting plasma glucose) may mediate this association.

METHODS

Data were Framingham Heart Study Research Materials obtained from the National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository Information Coordinating Center. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) representing the total effect (aHRTE) of probable depression, measured via the Centers for Epidemiological Studies - Depression scale, on incident CHD over approximately 18 years. Using inverse odds ratio weighting, we decomposed this estimate into natural direct effects (aHRNDE) and natural indirect effects (aHRNIE) through potential mediators (measured approximately three years after depression).

RESULTS

Probable depression was associated with incident CHD (aHRTE=1.45, 95% confidence interval [CI]: 0.93, 2.25), and elevated waist circumference partially mediated this association (aHRNDE=1.34, 95% CI: 0.76-2.32; aHRNIE=1.08, 95% CI: 0.63-1.91). We did not find evidence of additional mediation by additional MetS components.

CONCLUSIONS

Elevated waist circumference appears to play a role in the association between depression and CHD.

Heartache and Heartbreak: An Observational and Mendelian Randomization Study

BACKGROUND

Depression has a significant effect on cardiovascular disease (CVD), but uncertainties persist regarding which modifiable risk factors mediate the causal effects. We aim to determine whether depression is causally linked to CVD and which modifiable risk factors play potential mediating roles.

METHODS

We used a two-sample Mendelian randomization (MR) approach and NHANES 2007-2018 data to estimate the effects of depression on various CVD cases and investigated 28 potential mediators of the association between depression and CVD.

RESULTS

The results of our MR analysis indicated that genetically determined depression was associated with increased risk of several CVD, including coronary heart disease (odds ratio (OR) = 1.14; 95% confidence interval (CI): 1.05,1.22), myocardial infarction (OR = 1.19; 95% CI, 1.09,1.31), atrial fibrillation (OR = 1.14; 95% CI, 1.06,1.22), and stroke (OR = 1.13; 95% CI, 1.05,1.22). However, there was no causal association between depression and heart failure. Four out of 28 cardiometabolic risk factors, including hyperlipidemia, hypertension, diabetes, and prescription opioid use, were identified as mediators of the association between depression and various CVDs. Observational association analyses from NHANES data yielded consistent results.

CONCLUSION

Our findings demonstrated that depression has a causal detrimental effect on various CVDs. Four causal mediators (hyperlipidemia, hypertension, diabetes, and prescription opioid use) were screened to explain the causal effect. Implementing targeted management strategies for these risk factors may be warranted to mitigate the public health burden of CVD among individuals with depression.

Adherence to a Mediterranean Diet Is Inversely Associated with Anxiety and Stress but Not Depression: A Cross-Sectional Analysis of Community-Dwelling Older Australians

Diet quality may be an important modifiable risk factor for mental health disorders. However, these findings have been inconsistent, particularly in older adults. We explored the independent associations between adherence to a Mediterranean diet (MedDiet) and severity of symptoms related to depression, anxiety and stress in older adults from Australia. This was a cross-sectional analysis of older Australians ≥ 60 years. MedDiet adherence was assessed using the Mediterranean Diet Adherence Screener (MEDAS), and the Depression, Anxiety and Stress Scale (DASS-21) was used to assess the severity of negative emotional symptoms. A total of n = 294 participants were included in the final analyses (70.4 ± 6.2 years). Adherence to a MedDiet was inversely associated with the severity of anxiety symptoms (β = -0.118; CI: -0.761, -0.012; p = 0.043) independent of age, gender, BMI, physical activity, sleep, cognitive risk and ability to perform activities of daily living. Furthermore, MedDiet adherence was inversely associated with symptoms of stress (β = -0.151; CI: -0.680, -0.073; p = 0.015) independent of age, gender, BMI, physical activity and sleep. However, no relationship between MedDiet adherence and depressive symptoms was observed. We showed that adherence to a MedDiet is inversely associated with the severity of symptoms related to anxiety and stress but not depression. Exploring these findings with the use of longitudinal analyses and robust clinical trials are needed to better elucidate these findings in older adults.

Income inequality and depressive symptoms among Chinese adults: a quasi-experimental study

OBJECTIVE

There is a lack of causal evidence on the impact of income inequality on depressive symptoms. The impact of China's Targeted Poverty Alleviation (TPA) policy on depressive symptoms is also unclear. Using a quasi-experimental design, this study aims to investigate the causal effects of TPA and income inequality on depressive symptoms among Chinese adults.

STUDY DESIGN

This is a population-based study.

METHODS

Three waves (2012, 2016, and 2018) of the China Family Panel Studies (CFPS), a nationally representative sample of China, were included in this study. We performed difference-in-difference (DID) models to assess the effect of TPA and income inequality on depressive symptoms. We further conducted the mixed effect models to examine the impact of income inequality on depressive symptoms. The study considered a range of spatial factors and spatial splines to address spatial autocorrelations.

RESULTS

This study included valid measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D-8] score) from 14,442 adults of CFPS. The DID results indicated that at the provincial level, the CES-D-8 score of the TPA treatment group was on average 0.570 (95% confidence interval [CI]: 0.358-0.783) less than the control group. Furthermore, a 0.1 increase in Gini index would lead to a 0.256 (95% CI: 0.064-0.448) increase in CES-D-8 score. The mixed effect model showed that income inequality was a risk factor for depressive symptoms at the provincial level (excess risk = 5.602% [95% CI: 3.047%-8.219%]).

CONCLUSIONS

Our findings suggest that income inequality adversely affects mental health, but China's Targeted Poverty Alleviation improves the mental health of the Chinese population.

Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management

Populations with common physical diseases - such as cardiovascular diseases, cancer and neurodegenerative disorders - experience substantially higher rates of major depressive disorder (MDD) than the general population. On the other hand, people living with MDD have a greater risk for many physical diseases. This high level of comorbidity is associated with worse outcomes, reduced adherence to treatment, increased mortality, and greater health care utilization and costs. Comorbidity can also result in a range of clinical challenges, such as a more complicated therapeutic alliance, issues pertaining to adaptive health behaviors, drug-drug interactions and adverse events induced by medications used for physical and mental disorders. Potential explanations for the high prevalence of the above comorbidity involve shared genetic and biological pathways. These latter include inflammation, the gut microbiome, mitochondrial function and energy metabolism, hypothalamic-pituitary-adrenal axis dysregulation, and brain structure and function. Furthermore, MDD and physical diseases have in common several antecedents related to social factors (e.g., socioeconomic status), lifestyle variables (e.g., physical activity, diet, sleep), and stressful live events (e.g., childhood trauma). Pharmacotherapies and psychotherapies are effective treatments for comorbid MDD, and the introduction of lifestyle interventions as well as collaborative care models and digital technologies provide promising strategies for improving management. This paper aims to provide a detailed overview of the epidemiology of the comorbidity of MDD and specific physical diseases, including prevalence and bidirectional risk; of shared biological pathways potentially implicated in the pathogenesis of MDD and common physical diseases; of socio-environmental factors that serve as both shared risk and protective factors; and of management of MDD and physical diseases, including prevention and treatment. We conclude with future directions and emerging research related to optimal care of people with comorbid MDD and physical diseases.

Green space exposure on depression and anxiety outcomes: A meta-analysis

BACKGROUND

The development of urbanization has led to emerging mental health issues. Green space was becoming increasingly important for mental health. Previous studies have demonstrated the value of green space for a variety of outcomes connected to mental health. However, uncertainty remains regarding the association between green spaces and the risk of depression and anxiety outcomes. This study aimed to integrate present evidence from observational studies to define the association of exposure to green space with depression and anxiety.

METHODS

A thorough electronic search of PubMed, Web of Science and Embase database was performed. We transformed the odds ratio (OR) of different green increments into per 0.1 unit increase in normalized difference vegetation index (NDVI) and per 10% increase in percentage of green space. Cochrane's Q and I2 statistics were used to assess study heterogeneity, and random-effects models were employed to calculate combined effect estimation OR with 95% confidence intervals (CIs). Pooled analysis was completed using Stata 15.0.

RESULTS

According to this meta-analysis, a 10% increase in the proportion of green space was linked to a lower risk of depression (merged OR (95% CI) = 0.963 (0.948, 0.979)) and anxiety (merged OR (95% CI) = 0.938 (0.858, 1.025)) and a 0.1 unit increase in NDVI was linked to a lower risk of depression (merged OR (95% CI) = 0.931 (0.887, 0.977)).

CONCLUSIONS

Results of this meta-analysis supported improving green space exposure in preventing depression and anxiety. Higher green space exposure might be helpful for depression and anxiety disorders. Therefore, improving or preserving green space should be regarded as a promising intervention for public health.

Bidirectional Association Between Probable Depression and Multimorbidity Among Middle-Aged and Older Adults in Thailand

Introduction

The purpose of this study was to assess the bidirectional association between multimorbidity (MM) and probable depression in a longitudinal study in Thailand.

Methods

We analyzed longitudinal data of participants 45 years and older from two consecutive waves (in 2015 and 2017) of Health, Aging, and Retirement in Thailand (HART). Probable depression was assessed using the Center for Epidemiological Studies Depression scale. Logistic regression analysis was conducted to assess the association between baseline probable depression and incident physical MM, and baseline physical MM and incident probable depression.

Results

In all, 2712 participants without MM at baseline and 2684 without probable depression at baseline were included. At follow-up 15.6% of probable depression cases and 11.4% of nonprobable depression cases developed physical MM, and at follow-up 13.3% of physical MM cases and 8.9% of nonphysical MM cases developed probable depression. In the final logistic regression analysis, adjusted for age, sex, marital status, income, education, body mass index, physical activity, smoking tobacco, alcohol use, and social engagement, probable depression at baseline was positively associated with incident physical MM (aOR: 1.50, 95% CI: 1.09 to 2.06), and physical MM at baseline was positively associated with incident probable depression (aOR: 1.47, 95% CI: 1.07 to 2.02).

Discussion

Baseline physical MM increases the risk of incident probable depression and baseline probable depression increases the risk of incident physical MM among middle-aged and older adults in Thailand.

Depressive symptoms occurring after stroke by age, sex and socioeconomic status in six population-based studies: Longitudinal analyses and meta-analyses

AIMS

Population-based cohort studies that examined the effects of stroke on depressive symptoms in elderly participants with and without stroke in different countries/regions had yielded scant evidence. The objectives of this multi-cohort study were to identify the relationships between stroke and depressive symptoms and to assess the pooled risks of depressive symptoms in total populations and in stratified samples by age, sex, education levels, and total household income in large-scale studies.

METHODS

The associations in the overall participants in the six cohorts were examined using univariate and multivariable Cox proportional hazards models. The relationships in the population subgroups of the cohorts were determined using multivariable Cox regression models. Crude hazard ratios (HRs) were estimated, and adjusted or time-varying HRs were calculated and then pooled by meta-analyses.

RESULTS

During a median follow-up time of 3.8 (interquartile range [IQR]: 2.2-4.5) -7.9 (IQR: 4.0-8.0) years, 18267 participants out of 62150 participants developed incident cases of depressive symptoms. In the univariate Cox regression analyses, stroke was consistently linked to depressive symptoms across all studies, with HRs ranging from 1.39 (95% confidence interval [CI]: 1.04-1.85) to 1.84 (95% CI: 1.38-2.46). Adjusted HRs varied between 1.19 (95% CI: 0.89-1.59) and 1.48 (95% CI: 1.00-1.98), and time-varying HRs remained largely unchanged. According to the meta-analysis of overall HRs, stroke survivors were more likely than non-survivors to develop depressive symptoms (pooled HR: 1.35 (95% CI: 1.26-1.44)).

CONCLUSIONS

In general, stroke significantly increased the risk of depressive symptoms in total and stratified participants in most cohorts. In the future, extensive research will be needed to assess the variations in associations between various population subgroups.

The Association between Symptoms of Depression and Anxiety, Quality of Life, and Diabetic Kidney Disease among Chinese Adults: A Cross-Sectional Study

Depression and anxiety are common comorbid symptoms among patients with diabetic kidney disease (DKD). Little is known about the influence of poor psychological conditions on the disease progression and quality of life (QOL) in DKD patients. This study aimed to investigate the prevalence of, and risk factors for, depression and anxiety in Chinese DKD patients, and to analyze their impact on the renal function, proteinuria, and QOL. A total of 620 adult patients with Type 2 diabetes and DKD being treated at a tertiary hospital in East China were recruited. Depression and anxiety symptoms were assessed by the Zung Self-Rating Depression Scale and Anxiety Scale. Among the DKD participants, 41.3% had symptoms of depression and 45.0% had anxiety symptoms. A poor education, physical inactivity, stroke, low serum albumin, CKD stage 3-4, macroalbuminuria, and a poor QOL were independent risk factors for depression in the DKD patients. Whereas a higher education, physical inactivity, diabetic retinopathy and neuropathy, low hemoglobin, CKD stage 3-4, and a poor QOL were risk factors for anxiety. Depression and anxiety scores among the DKD patients were negatively correlated with the eGFR and QOL scores. Moreover, depression and anxiety symptoms were independent risk factors for DKD patients with CKD stage 3-4 and a poor QOL. Our findings suggest a high prevalence of depression and anxiety among Chinese DKD patients, and the severity of psychological symptoms is closely linked to the deterioration of renal function and the QOL. The early screening and intervention of psychopathological disorders is thus strongly recommended for improving the QOL and clinical outcomes among DKD patients.

Indigenous population and major depressive disorder in later life: a study based on the data from Longitudinal Ageing Study in India

BACKGROUND

Existing evidence suggests that the indigenous older population who live with their families and friends might experience lesser depressive symptoms due to better emotional support and well-being. The present study aimed to investigate the differentials in the prevalence of the major depressive disorder among tribal and non-tribal older populations in India and to explore the contribution of socio-demographic, health-related, and household factors in such disparities.

METHODS

A cross-sectional study was conducted using data from the Longitudinal Aging Study in India (2017-18). The analytical sample included 30,637 older adults, among whom 5,025 and 25,612 belonged to the Scheduled Tribe (ST) and non-Scheduled Tribe (non-ST) social groups, respectively. Major depressive disorder assessed by the Composite International Diagnostic Interview short-form (CIDI-SF) scale was the outcome variable. Descriptive statistics, bivariate and multivariable regression and, decomposition analyses were conducted.

RESULTS

About 4.8% and 8.9% of older adults from the ST and non-ST social groups had major depression. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression. Findings from differences due to characteristics (E) revealed that if the regional differences were minimized, it would decrease the ST-non-ST gap in major depression by about 19.6%. Similarly, equal self-rated health status and chronic conditions among ST and non-ST groups would decrease the gap in major depression by almost 9.6% and 7.9%, respectively. Additionally, an equal status of Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL) among older adults would decrease the gap in major depression by about 3.8% and 3% respectively. Also, findings from differences due to coefficients (C) revealed that if older adults from the ST group had the same status of ADL as of older adults from the non-ST group, it would decrease the gap in major depression by about 11.8%.

CONCLUSION

The findings revealed a greater prevalence of major depression in older adults belonging to the non-ST group than the ST group. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression and these factors along with health-related variables contributed to significant ST-non-ST gap in depression, advantageous to tribal population; suggesting further research on the coping mechanisms of mental illnesses among indigenous population in India.

Screening for Psychological Distress and Risk of Cardiovascular Disease and Related Mortality: A SYSTEMATIZED REVIEW, META-ANALYSIS, AND CASE FOR PREVENTION

BACKGROUND

Psychological distress-elevated symptoms of depression, anxiety, post-traumatic stress disorder (PTSD), or psychosocial stress-has been associated with risk for cardiovascular disease (CVD). Despite increasing attention to the importance of these factors for CVD prevention, the state of this science requires updated synthesis to enable practice recommendations. Moreover, it is unknown whether psychological distress based on screeners, validated self-report instruments that efficiently identify those who may require mental health services or additional support, is associated with incident CVD.

METHODS

MEDLINE, Embase, and PsycInfo were searched for studies published 2017-2022, including adults without a past psychiatric diagnosis, who were screened at baseline for depression, anxiety, PTSD, stress, or general mental health symptoms, and followed for >6 mo to determine their risk for incident CVD (ie, atrial fibrillation, acute coronary syndrome, coronary heart disease, peripheral vascular disease, heart failure, or a composite). A meta-analysis was used to aggregate results to determine whether clinically significant levels of psychological distress were associated with CVD onset.

RESULTS

The search identified 28 investigations that represented 658 331 participants (58% women). Fifteen studies had adequate data for the primary meta-analysis, which indicated that those reporting high psychological distress showed a 28% greater risk of incident CVD compared with those with low or no distress.

CONCLUSIONS

Rapid screening for psychological distress is a helpful and efficient approach to understanding the CVD risk profile of an individual. Additional investigations are needed to improve prospective evidence concerning psychosocial stress. Conducting analyses by sex may better elucidate the benefits of psychological distress screening for men and women, respectively, and encourage more widespread adoption in CVD prevention.

Traditional Chinese Medicine Body Constitutions as Predictors for Depression: A Systematic Review and Meta-Analysis

Traditional Chinese medicine body constitution (TCMBC) reflects a person's vulnerability to diseases. Thus, identifying body constitutions prone to depression can help prevent and treat depression. The review aimed to assess and summarize the existing evidence that explores the relationship between TCMBC and depression. Psychology and Behavioral Sciences Collection, MEDLINE, PubMed, CNKI, Wanfang, SinoMed, Embase, VIP, CINAHL, and CMJ were searched from inception to April 2021. Observational studies assessing the association between TCMBC and depression were selected. The quality of the included studies were assessed using the Newcastle-Ottawa Scale (NOS). Eighteen studies were included in the systematic review and thirteen in the meta-analysis. The pooled odd ratios of developing depression for Qi-stagnation, Qi-deficiency, Yang-deficiency, Yin-deficiency, and Balanced constitutions were 3.12 (95% CI, 1.80-5.40; I2 = 94%), 2.15 (95% CI, 1.54-3.01; I2 = 89%), 1.89 (95% CI, 0.71-5.03; I2 = 81%), 1.41 (95% CI, 0.91-2.20; I2 = 57%), and 0.60 (95% CI, 0.40-0.90; I2 = 94%), respectively. The findings suggest that the evaluation of a person's TCMBC could be useful the in prevention and treatment of depression. However, more case-control and cohort studies are required to further confirm the association between TCMBC and depression.

A Narrative Review of the Association Between Depression and Heart Disease Among Women: Prevalence, Mechanisms of Action, and Treatment

PURPOSE OF REVIEW

Sex and gender differences exist with regard to the association between depression and cardiovascular disease (CVD). This narrative review describes the prevalence, mechanisms of action, and management of depression and CVD among women, with a particular focus on coronary heart disease (CHD).

RECENT FINDINGS

Women versus men with incident and established CHD have a greater prevalence of depression. Comorbid depression and CHD in women may be associated with greater mortality, and treatment inertia. Proposed mechanisms unique to the association among women of depression and CHD include psychosocial, cardiometabolic, behavioral, inflammatory, hormonal, and autonomic factors. The literature supports a stronger association between CHD and the prevalence of depression in women compared to men. It remains unclear whether depression treatment influences cardiovascular outcomes, or if treatment effects differ by sex and/or gender. Further research is needed to establish underlying mechanisms as diagnostic and therapeutic targets.

An examination of modifiable risk factors in stroke survivors, with a view to recurrent stroke prevention

BACKGROUND

Stroke is a major public health problem worldwide, as more people survive their initial stroke event and subsequently live with chronic disability. While extensive research has focused upon preventing primary strokes comparatively little research has examined secondary stroke prevention.

METHODS

We analysed data collected from a survey of 576 participants from the 45 and Up Study who had a clinical diagnosis of stroke. Health status was assessed using a variety of validated instruments. Demographics and modifiable risk factors, including health behaviours and diagnosed conditions, were also measured. Logistic regression model building was used to examine the relationship between each modifiable risk factor and the independent variables of demographics and health status measures.

RESULTS

The average time since the most recent stroke for study participants was 10.4 (SD = 8.9) years, with the majority of participants (73.2%) having had only one stroke in total. Regression modelling revealed that health-related hardiness, quality of life, depression and fatigue scores were all statistically significantly associated with heart disease, anxiety, depression and physical activity. For stroke characteristics, years since the most recent stroke was associated with heart disease and the number of strokes was associated with anxiety/nervous disorder, diabetes and alcohol consumption.

CONCLUSION

Among other identified targets for secondary stroke prevention, fatigue and depressive symptoms appear to be common factors affecting several modifiable stroke risk factors. Addressing fatigue and depressive symptoms may therefore have a positive effect on secondary stroke prevention strategies in post stroke adults. All practitioners providing care for post-stroke adults can work towards improving these health factors thereby enhancing and prioritising secondary stroke prevention strategies.

Associations between depressive symptoms and sleep duration for predicting cardiovascular disease onset: A prospective cohort study

BACKGROUND

The joint effects of depressive symptoms and sleep on the risk of cardiovascular disease (CVD) are not well understood. The purpose of this study was to assess the combined impact of depressive symptoms and sleep duration on the incidence of CVD among middle-aged and older Chinese individuals.

METHODS

Data were from the China Health and Longitudinal Study conducted in 2013, 2015, and 2018. A total of 9595 participants aged ≥ 45 years without a history of CVD in 2013 were included. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale (elevated depressive symptoms cutoff ≥ 10). Average sleep duration was self-reported. Logistic regression analyses adjusted for age, sex, marital status, education and other potential confounders were conducted.

RESULTS

In total, 1072 (11.2%) participants reported CVD incidents over the 5-year period. Elevated depressive symptoms (OR = 1.49, 95% CI = 1.30-1.72) and short sleep duration (OR = 1.21, 95% CI = 1.05-1.40) were independently associated with an increased CVD risk in the fully adjusted model. Individuals with short sleep duration/low depressive symptoms (OR = 1.34, 95% CI = 1.12-1.60), short sleep duration/elevated depressive symptoms (OR = 1.70, 95% CI = 1.41-2.50), or long sleep duration/elevated depressive symptoms (OR = 2.13, 95% CI = 1.38-3.27) were more likely to develop CVD than those with normal sleep duration/low depressive symptoms.

LIMITATIONS

Depressive symptoms and sleep duration were self-reported.

CONCLUSIONS

A stronger risk of CVD was found when depressive symptoms and short or long sleep durations occurred together, suggesting that an integrated approach to sleep and depressive symptoms might be a feasible strategy for the prevention of CVD.

Influence of the Interaction Between Depressive Symptoms and Sleep Disorders on Cardiovascular Diseases Occurrence

Purpose

Depressive symptoms and sleep disorders were independent risk factors for cardiovascular diseases (CVD). However, few studies have examined the combined effects of depressive symptoms and sleep disorders on CVD. We aimed to evaluate the association between depressive symptoms, sleep disorders and CVD occurrence.

Methods

Data on 30,398 participants were extracted from the National Health and Nutritional Examination Survey (NHANES) database (2005–2018). Univariate and multivariate analyses were used for assessing the association of depressive symptoms, sleep disorders, and CVD occurrence. Three indexes, including the relative excess risk of interaction (RERI), attributable proportion of interaction (API), and synergy index (SI), were used to analyze the interaction.

Results

Of 30,398 participants, 11,544 (37.98%) participants had CVD and 18,854 (62.02%) did not. Except for gender, the differences were significant between CVD and non-CVD participants in all variables (all P<0.001). Depressive symptoms [odds ratio (OR)=1.73; 95% confidence intervals (CI):1.57–1.91] and sleep disorders (OR=1.76; 95% CI:1.65–1.88) were associated with an increased risk of CVD after adjusting all confounders. Patients with both depressive symptoms and sleep disorders (OR=2.64; 95% CI:2.32–3.00) had a higher risk of CVD than those without. There may be a synergistic interaction between depression and sleep disorders on the CVD occurrence (SI=1.763; 95% CI:1.299–2.394), and the proportion of CVD caused by this interaction was 26.9% (API=0.269; 95% CI:0.148–0.389). In addition, only moderate depressive symptoms may interact with sleep disorders in the occurrence of CVD.

Conclusion

There may be a synergistic interaction between depressive symptoms and sleep disorders, and the synergistic interaction may increase the occurrence of CVD.

Sociodemographic moderation of the association between depression and stroke incidence in a retrospective cohort of 0.4 million primary care recipients with hypertension

BACKGROUND

Previous research has suggested an association between depression and subsequent acute stroke incidence, but few studies have examined any effect modification by sociodemographic factors. In addition, no studies have investigated this association among primary care recipients with hypertension.

METHODS

We examined the anonymized records of all public general outpatient visits by patients aged 45+ during January 2007-December 2010 in Hong Kong to extract primary care patients with hypertension for analysis. We took the last consultation date as the baseline and followed them up for 4 years (until 2011-2014) to observe any subsequent acute hospitalization due to stroke. Mixed-effects Cox models (random intercept across 74 included clinics) were implemented to examine the association between depression (ICPC diagnosis or anti-depressant prescription) at baseline and the hazard of acute stroke (ICD-9: 430-437.9). Effect modification by age, sex, and recipient status of social security assistance was examined in extended models with respective interaction terms specified.

RESULTS

In total, 396 858 eligible patients were included, with 9099 (2.3%) having depression, and 10 851 (2.7%) eventually hospitalized for stroke. From the adjusted analysis, baseline depression was associated with a 17% increased hazard of acute stroke hospitalization [95% confidence interval (CI) 1.03-1.32]. This association was suggested to be even stronger among men than among women (hazard ratio = 1.29, 95% CI 1.00-1.67).

CONCLUSION

Depression is more strongly associated with acute stroke incidence among male than female primary care patients with hypertension. More integrated services are warranted to address their needs.

Association of major depressive disorder with chronic diseases and multimorbidity in Brazilian adults, stratified by gender: 2019 National Health Survey

OBJECTIVE

To analyze the association of major depressive disorder with chronic non-communicable diseases and multimorbidity in Brazilian adults, stratified by gender, as well as examine the interaction between gender and chronic non-communicable diseases in association with major depressive disorder.

METHODS

Based on a sample of 65,803 adults from the 2019 National Health Survey, we estimated the prevalence of major depressive disorder (≥10 points in the Patient Health Questionnaire) according to the presence of chronic non-communicable diseases and multimorbidity (≥2 chronic diseases). Prevalence ratios and their respective confidence intervals were calculated by Poisson regression, and multiplicative interaction terms were used to assess the role of gender in the associations.

RESULTS

The prevalence of major depressive disorder among Brazilian adults (18-59 years) was 10.9%, with a statistically significant difference between men (6.0%) and women (15.4%) (p<0.001). Individuals with any chronic non-communicable disease and multimorbidity showed a higher prevalence of major depressive disorder, both in the general population and in each gender. However, the association of major depressive disorder with chronic non-communicable diseases tended to be stronger among men. Data also showed an interaction between the male gender and multimorbidity or specific diseases, such as arthritis or rheumatism, heart disease, and chronic kidney disease, in association with major depressive disorder.

CONCLUSION

The results reveal a significant association between major depressive disorder and chronic non-communicable diseases in both genders and raise the hypothesis that the effects of multimorbidity and certain diseases may be greater on the mental health of men.

Exploring the use of psychotropic medication in cardiac patients with and without anxiety and its association with 1-year mortality

AIMS

Comorbid psychiatric disorders and the use of psychotropic medication are common among cardiac patients and have been found to increase the risk of mortality. The aims of this study were: (i) to describe the use of psychotropic medication among cardiac patients with and without symptoms of anxiety, (ii) to estimate the association between use of psychotropic medication prior to hospital admission and all-cause, 1-year mortality following discharge, and (iii) to estimate the risk of mortality among users and non-users of psychotropic medication with or without self-reported symptoms of anxiety.

METHODS AND RESULTS

Cardiac patients from the DenHeart survey were included, providing information on self-reported symptoms of anxiety. From national registers, information on the use of psychotropic medication 6 months prior to hospitalization and mortality was obtained. By logistic regression analyses, the association between the use of psychotropic medication, anxiety, and all-cause, 1-year mortality was estimated. The risk of subsequent incident use of psychotropic medication among patients with and without anxiety was furthermore explored. All analyses were fully adjusted. A total of 12 913 patients were included, of whom 18% used psychotropic medication, and 3% died within 1 year. The use of psychotropic medication was found to be associated with increased 1-year all-cause mortality [odds ratio 1.90 (95% confidence interval, 1.46-2.46)]. Patients with symptoms of anxiety were significantly more likely to use psychotropic medication following hospital discharge [2.47 (2.25-2.72)].

CONCLUSION

The use of psychotropic medication was associated with 1-year mortality. Thus, the use of psychotropic medication might explain some of the association between anxiety and mortality; however, the association is probably mainly a reflection of the underlying mental illness, rather than the use of psychotropic medication.

Metabolomic profiles discriminating anxiety from depression

OBJECTIVE

Depression has been associated with metabolomic alterations. Depressive and anxiety disorders are often comorbid diagnoses and are suggested to share etiology. We investigated whether differential metabolomic alterations are present between anxiety and depressive disorders and which clinical characteristics of these disorders are related to metabolomic alterations.

METHODS

Data were from the Netherlands Study of Depression and Anxiety (NESDA), including individuals with current comorbid anxiety and depressive disorders (N = 531), only a current depression (N = 304), only a current anxiety disorder (N = 548), remitted depressive and/or anxiety disorders (N = 897), and healthy controls (N = 634). Forty metabolites from a proton nuclear magnetic resonance lipid-based metabolomics panel were analyzed. First, we examined differences in metabolites between disorder groups and healthy controls. Next, we assessed whether depression or anxiety clinical characteristics (severity and symptom duration) were associated with metabolites.

RESULTS

As compared to healthy controls, seven metabolomic alterations were found in the group with only depression, reflecting an inflammatory (glycoprotein acetyls; Cohen's d = 0.12, p = 0.002) and atherogenic-lipoprotein-related (e.g., apolipoprotein B: Cohen's d = 0.08, p = 0.03, and VLDL cholesterol: Cohen's d = 0.08, p = 0.04) profile. The comorbid group showed an attenuated but similar pattern of deviations. No metabolomic alterations were found in the group with only anxiety disorders. The majority of metabolites associated with depression diagnosis were also associated with depression severity; no associations were found with anxiety severity or disease duration.

CONCLUSION

While substantial clinical overlap exists between depressive and anxiety disorders, this study suggests that altered inflammatory and atherogenic-lipoprotein-related metabolomic profiles are uniquely associated with depression rather than anxiety disorders.

Depression in disabling medical conditions - current perspectives

Chronic diseases commonly entail disability and are highly comorbid with mental health problems, particularly depression. Prevalence of depression across different disabling conditions affecting adult patients, as well as risk factors for depression in these patient groups are reviewed in the current work, with a particular focus on the literature published in the past 5 years. The prevalence of depression in disabling conditions is higher than in the general population and is associated with different factors. Examples of disease-specific factors include neurological implications of stoke, diabetic related conditions (e.g. amputation), limitations imposed by vision loss caused by age-related eye diseases, fatigue in rheumatoid arthritis, and pain in cancer. Common factors identified across different conditions include pre-morbid depression, history of mental health problems, poor social support, disease-related disability, multi-morbidity, and less adaptive coping strategies. We also reviewed studies suggesting a potential bidirectional relationship between depression and chronic disease, particularly for stroke, cardiovascular disease, diabetes, and potential factors mediating that relationship. Current findings suggested that long-term depression might be associated with an increased risk of subsequent physical health problems, although the nature of that relationship and its underlying mechanisms are still unclear.

Psychological Impact of the Pandemic on Ambulatory Cardiometabolic Patients Without Evidence of SARS-CoV-2 Infection. The CorCOVID Latam Psy Study

BACKGROUND

The COVID-19 pandemic's mental health consequences remain unknown.

AIM

To assess the mental health status of ambulatory cardiometabolic patients during COVID-19 pandemic lockdown in Spanish speaking Latin American countries.

METHODS

Cardiometabolic patients without COVID-19 evidence in 13 Latin American countries answered a survey between June 15th and July 15th, 2020. The Diagnosis Manual of Mental Disorders fifth edition was used to identify the presence of major depressive symptoms.

RESULTS

The sample included 4216 patients, 1590 (37.71%; IC95% 36.24-39.19) were considered suffering major depression. Female gender, consuming ≥5 medications day, physical activity <100 minutes weekly, low fruits and vegetables intake, poor treatment adherence, reduced food consumption were independently associated to the presence of major depressive symptoms.

CONCLUSIONS

The CorCOVID Latam Psy study showed that one-third of the Latin American Spanish speaking population is suffering from major depressive symptoms during the COVID-19 outbreak.

Neuropsychiatric Complications after Stroke

Neuropsychiatric disturbances represent a common and uniquely challenging consequence of stroke. These disorders arise at the intersection of lesion-related brain dysfunction and psychological distress related to the event and its aftermath, making it difficult to identify what symptom is a direct physiological consequence of the stroke. Depression, anxiety, fatigue, apathy, emotionalism, and anger are the most common of these syndromes, and posttraumatic stress disorder related to the stroke event has become increasingly recognized as a relevant entity. Mania, obsessive-compulsive disorder, and psychosis are less commonly encountered but potentially highly debilitating conditions that may be underrecognized. Early identification and treatment may mitigate functional impairment and improve quality of life. Evidence-based guidelines from the general population are often relied upon to guide treatment. Further research is needed to understand and tailor treatment of these disorders in the poststroke population.

Genetic Liability to Depression and Risk of Coronary Artery Disease, Myocardial Infarction, and Other Cardiovascular Outcomes

Background

Observational studies have indicated that depression is associated with coronary artery disease (CAD) and myocardial infarction. Nevertheless, causal associations between depression and cardiovascular diseases remain controversial. Hence, we conducted a Mendelian randomization and mediation analysis to evaluate the associations of depression‐related genetic variants with CAD and myocardial infarction.

Methods and Results

Summary statistics from genome‐wide association studies of depression (807 553 individuals), and CAD (60 801 cases, including 43 676 with myocardial infarction, and 123 504 controls) were used. We pooled Mendelian randomization estimates using a fixed‐effects inverse‐variance weighted meta‐analysis and multivariable Mendelian randomization. The mediation effects of potential cardiovascular risk factors on depression‐CAD and myocardial infarction risk were investigated by using mediation analysis. We also explored the relationship of genetic liability to depression with heart failure, atrial fibrillation, and ischemic stroke. Genetic liability to depression was associated with higher CAD (odds ratio [OR], 1.14; 95% CI, 1.06–1.24; P=1.0×10⁻³) and myocardial infarction (OR, 1.21; 95% CI, 1.11–1.33; P=4.8×10⁻⁵) risks. Results were consistent in all sensitivity analyses. Type 2 diabetes mellitus and smoking demonstrated significant mediation effects. Furthermore, our Mendelian randomization analyses revealed that the genetic liability to depression was associated with higher risks of heart failure and small vessel stroke.

Conclusions

Genetic liability to depression is associated with higher CAD and myocardial infarction risks, partly mediated by type 2 diabetes mellitus and smoking. The potential preventive value of depression treatment on cardiovascular diseases should be investigated in the future.

Psychiatric and Psychological Interventions for Depression in Patients With Heart Disease: A Scoping Review

Depression in patients with cardiovascular disease is independently associated with progression of heart disease, major adverse cardiac events, and mortality. A wide variety of depression treatment strategies have been studied in randomized controlled trials as the field works to identify optimal depression treatments in this population. A contemporary scoping review of the literature can help to consolidate and synthesize the growing and disparate literature on depression treatment trials in people with cardiovascular disease. We conducted a scoping review utilizing a systematic search of the literature via 4 databases (PubMed, PsycINFO, EMBASE, and Google Scholar) from database inception to March 2020. We identified 42 relevant randomized controlled trials of depression treatment interventions in patients with cardiac disease (n=9181 patients with coronary artery disease, n=1981 patients with heart failure). Selective serotonin reuptake inhibitors appear to be safe in patients with cardiac disease and to have beneficial effects on depression (and some suggestion of cardiac benefit) in patients with coronary artery disease, with less evidence of their efficacy in heart failure. In contrast, psychotherapy appears to be effective for depression in coronary artery disease and heart failure, but with less evidence of cardiac benefit. Newer multimodal depression care management approaches that utilize flexible approaches to patients' care have been less studied but appear promising across cardiac patient groups. Selective serotonin reuptake inhibitors may be preferred in the treatment of patients with coronary artery disease, psychotherapy may be preferred in heart failure, and more flexible depression care management approaches have shown promise by potentially using both approaches based on patient needs.

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

BACKGROUND

Depression is frequently accompanied by other mental disorders and various somatic diseases; however, previous comorbidity studies often relied on self-reported data and have not simultaneously assessed the entire spectrum of mental and somatic diagnoses. The aim is to provide a complete picture of mental and somatic comorbidity of depression in routine outpatient care in a high income country with a relatively well equipped health care system.

METHODS

Using ambulatory claims data covering 87% of the German population (age 15+), we designed a cross-sectional study by identifying persons diagnosed with mild, moderate and severe depression in 2017 (N = 6.3 million) and a control group matched 4:1 on sex, 5-year age group and region of residence (N = 25.2 million). Stratified by severity, we calculated the prevalence of 202 diagnosis groups included in the ICD-10 in persons with depression as compared to matched controls using prevalence ratios (PR).

RESULTS

Nearly all mental disorders were at least twice as prevalent in persons with depression relative to controls, showing a dose-response relationship with depression severity. Irrespective of severity, the three most prevalent somatic comorbid diagnosis groups were 'other dorsopathies' (M50-M54), 'hypertensive diseases' (I10-I15) and 'metabolic disorders' (E70-E90), exhibiting PRs in moderate depression of 1.56, 1.23 and 1.33, respectively. Strong associations were revealed with diseases of the central nervous system (i.e. multiple sclerosis) and several neurological diseases, among them sleep disorders, migraine and epilepsy, most of them exhibiting at least 2- to 3-fold higher prevalences in depression relative to controls. Utilization of health care was higher among depression cases compared to controls.

CONCLUSIONS

The present study based on data from nearly the complete adolescent and adult population in Germany comprehensively illustrates the comorbidity status of persons diagnosed with depression as coded in routine health care. Our study should contribute to increasing the awareness of the strong interconnection of depression with all other mental and the vast majority of somatic diseases. Our findings underscore clinical and health-economic relevance and the necessity of systematically addressing the high comorbidity of depression and somatic as well as other mental diseases through prevention, early identification and adequate management of depressive symptoms.

Major depression and small vessel stroke: a Mendelian randomization analysis

BACKGROUND AND PURPOSE

Although observational studies have reported a positive association between depression and ischemic stroke, causality remains inconclusive. We aimed to assess the causal relationship of major depressive disorder (MDD) with ischemic stroke, especially with the small vessel stroke (SVS) subtype.

METHODS

We used 72 independent single-nucleotide polymorphisms associated with MDD in a genome-wide association study (GWAS) from the Psychiatric Genetics Consortium as instrumental variables. The corresponding data for ischemic stroke and its subtypes of European ancestry were available from the MEGASTROKE consortium of 34,217 ischemic stroke cases and 406,111 controls. Primary Mendelian randomization estimates were calculated with inverse-variance weighted method, and several alternate methods and multiple sensitivity analyses were also performed.

RESULTS

We found that genetic predisposition to higher risk of MDD was associated with higher risk of SVS, with an odds ratio of 1.33 (95% confidence interval, 1.08-1.65; p = 0.009) per log-odds increment in MDD risk, but not with large artery stroke (OR, 1.08; 95% CI 0.83-1.41; p = 0.559), cardioembolic stroke (OR, 0.98; 95% CI 0.80-1.20; p = 0.833), or all ischemic stroke (OR, 1.03; 95% CI 0.92-1.15; p = 0.633). The association of MDD with SVS was overall robust to sensitivity analyses.

CONCLUSIONS

We provided evidence for a possible causal effect of MDD on increased risk of SVS. Future researches are required to investigate whether rational intervention on depression may help to reduce societal burden of SVS.

Depressive symptoms and sleep problems as risk factors for heart disease: a prospective community study

AIMS

The goals of the present study were to examine the associations between depressive symptoms, sleep problems and the risk of developing heart disease in a Canadian community sample.

METHODS

Baseline data were from the CARTaGENE study, a community health survey of adults aged 40-69 years in Quebec, Canada. Incidence of heart disease was examined in N = 33 455 participants by linking survey data with administrative health insurance data. Incident heart disease was identified using the World Health Organization's International Classification of Diseases, 9th or 10th edition (ICD-9 and ICD-10) diagnostic codes for heart disease. Sleep problems were assessed with diagnostic codes for sleep disorders within the 2 years preceding the baseline assessment. Average sleep duration was assessed by self-report. Depressive symptoms were assessed with the nine-item Patient Health Questionnaire.

RESULTS

In total, 2448 (7.3%) participants developed heart disease over an average follow-up period of 4.6 years. Compared to those without depressive symptoms and with no sleep disorders, those with elevated depressive symptoms and a sleep disorder (HR = 2.60, 95% CI 1.83-3.69), those with depressive symptoms alone (HR = 1.40, 95% CI 1.25-1.57) and those with sleep disorders alone (HR = 1.33, 95% CI 1.03-1.73) were more likely to develop heart disease. Test of additive interaction suggested a synergistic interaction between depressive symptoms and sleep disorders (synergy index = 2.17 [95% CI 1.01-4.64]). When sleep duration was considered, those with long sleep duration and elevated depressive symptoms were more likely to develop heart disease than those with long sleep alone (HR = 1.77, 95% CI 1.37-2.28; and HR = 1.16, 95% CI 0.99-1.36, respectively).

CONCLUSIONS

Depression and diagnosed sleep disorders or long sleep duration are independent risk factors for heart disease and are associated with a stronger risk of heart disease when occurring together.