The epidemiology of depression across cultures

A cross-sectional study to assess the magnitude of depression among young adults at selected higher educational institutions in Tamil Nadu, India: A study protocol

BACKGROUND

One in ten young adults aged 20 to 24 years was diagnosed as suffering from DSM-IV disorder with associated impairment. Depression is a major challenge to public health around the world. The main aim of this project is to estimate the burden of depression among young adults and this is the first kind of study in nature that tends to establish a depression prevention resource center for young adults.

MATERIALS AND METHODS

A descriptive cross-sectional study will be conducted among 6922 young adults. A simple random sampling strategy will be used to obtain the study sample. The semi-structured tool will be used to obtain the result. Descriptive statistics and frequency percentages will be determined for categorical variables. Mean, median, and range will be calculated along with standard deviations (SD) and interquartile range (IQR). Percentage prevalence will be calculated for each categorical variable with a 95% confidence interval (CI). The P-value of <0.05 will be considered as statistically significant. A semi-structured questionnaire was developed and the questionnaires were translated into Tamil (for local relevancy), and back translated into English. Data regarding socio-demographic and mental health-related information, such as coping ability, problem-solving, personal history, academic performance, and treatment history will be collected.

ETHICS AND DISSEMINATION

The study was authorized by the Institutional Review Board (IRB), School of Public Health, SRMIST, and Institutional Ethics Committee (IEC) in Chengalpattu, Tamil Nadu, with the IEC Protocol Number: P0/2020/10/02. The ethics committee evaluated and rated the methods and tools used to assess depression among young adults.

Mental Health of the Russian Federation Population versus Regional Living Conditions and Individual Income

The objective of our study was to assess the impact of regional living conditions on the Russian population's mental health. For the analysis, we used data from the cross-sectional stage of a 2013-2014 study, "Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation (ESSE-RF)". The final sample included 18,021 men and women 25-64 years of age from 11 regions of Russia. Using principal component analysis, we performed an integral simultaneous assessment of stress, anxiety, and depression. To describe the regional living conditions, we utilized five regional indices, which were computed from publicly available data of the Federal State Statistics Service of Russia. Overall, mental health indicators were improved, on the one hand, with the deterioration of social conditions and an aggravation of the demographic depression in the region, but on the other hand, they were improved with an increase in economic and industrial development, along with economic inequality among the population. In addition, the impact of regional living conditions on mental health increased with a higher individual wealth. The obtained results provided new fundamental knowledge on the impact of the living environment on health, using the case study of the Russian population, which has been little studied in this regard.

Defining Clinical Trial Estimands: A Practical Guide for Study Teams with Examples Based on a Psychiatric Disorder

While the ICH E9(R1) Addendum on "Estimands and Sensitivity Analysis in Clinical Trials" was released in late 2019, the widespread implementation of defining and reporting estimands across clinical trials is still in progress and the engagement of non-statistical functions in this process is also in progress. Case studies are sought after, especially those with documented clinical and regulatory feedback. This paper describes an interdisciplinary process for implementing the estimand framework, devised by the Estimands and Missing Data Working Group (a group with clinical, statistical, and regulatory representation) of the International Society for CNS Clinical Trials and Methodology. This process is illustrated by specific examples using various types of hypothetical trials evaluating a treatment for major depressive disorder. Each of the estimand examples follows the same template and features all steps of the proposed process, including identifying the trial stakeholder(s), the decisions they need to make about the investigated treatment in their specific role and the questions that would support their decision making. Each of the five strategies for handling intercurrent events are addressed in at least one example; the featured endpoints are also diverse, including continuous, binary and time to event. Several examples are presented that include specifications for a potential trial design, key trial implementation elements needed to address the estimand, and main and sensitivity estimator specifications. Ultimately this paper highlights the need to incorporate multi-disciplinary collaborations into implementing the ICH E9(R1) framework.

Expecting the unexpected: a review of learning under uncertainty across development

Many of our decisions take place under uncertainty. To successfully navigate the environment, individuals need to estimate the degree of uncertainty and adapt their behaviors accordingly by learning from experiences. However, uncertainty is a broad construct and distinct types of uncertainty may differentially influence our learning. We provide a semi-systematic review to illustrate cognitive and neurobiological processes involved in learning under two types of uncertainty: learning in environments with stochastic outcomes, and with volatile outcomes. We specifically reviewed studies (N = 26 studies) that included an adolescent population, because adolescence is a period in life characterized by heightened exploration and learning, as well as heightened uncertainty due to experiencing many new, often social, environments. Until now, reviews have not comprehensively compared learning under distinct types of uncertainties in this age range. Our main findings show that although the overall developmental patterns were mixed, most studies indicate that learning from stochastic outcomes, as indicated by increased accuracy in performance, improved with age. We also found that adolescents tended to have an advantage compared with adults and children when learning from volatile outcomes. We discuss potential mechanisms explaining these age-related differences and conclude by outlining future research directions.

Association between phthalate exposure and the risk of depressive symptoms in the adult population of the United States

Previous research has suggested an association between phthalate exposure and depressive symptoms, but the evidence is limited. Our study aimed to examine the association between phthalate exposure and the risk of depressive symptoms in the US adult population. We used data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 to analyze the association between urinary phthalates and depressive symptoms. We included 11 urinary phthalate metabolites in our analysis and used the 9-item Patient Health Questionnaire (PHQ-9) to assess the presence of depression among study participants. Participants were divided into quartiles for each urinary phthalate metabolite, and we evaluated the association using a generalized linear mixed model with a logit link and binary distribution. A total of 7340 participants were included in the final analysis. After controlling for potential confounders, we found a positive association between the molar sum of di (2-ethylhexyl) phthalate (DEHP) metabolites and depressive symptoms, with an odds ratio of 1.30 (95% CI = 1.02-1.66) for the highest compared to the lowest quartile. In addition, we found positive associations of mono (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono (2-ethyl-5-carboxypentyl) phthalate (MECPP) with depressive symptoms, with odds ratios of 1.43 (95% CI = 1.12-1.81, p for trend = 0.02) and 1.44 (95% CI = 1.13-1.84, p for trend = 0.02), respectively, for the highest compared to the lowest quartile. In conclusion, this study is the first to identify a positive association between DEHP metabolites and the risk of depressive symptoms in the general adult population in the United States.

Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Major depressive disorder (MDD) is a common, heterogenous, and potentially serious psychiatric illness. Diverse brain cell types have been implicated in MDD etiology. Significant sexual differences exist in MDD clinical presentation and outcome, and recent evidence suggests different molecular bases for male and female MDD. We evaluated over 160,000 nuclei from 71 female and male donors, leveraging new and pre-existing single-nucleus RNA-sequencing data from the dorsolateral prefrontal cortex. Cell type specific transcriptome-wide threshold-free MDD-associated gene expression patterns were similar between the sexes, but significant differentially expressed genes (DEGs) diverged. Among 7 broad cell types and 41 clusters evaluated, microglia and parvalbumin interneurons contributed the most DEGs in females, while deep layer excitatory neurons, astrocytes, and oligodendrocyte precursors were the major contributors in males. Further, the Mic1 cluster with 38% of female DEGs and the ExN10_L46 cluster with 53% of male DEGs, stood out in the meta-analysis of both sexes.

Periodontal and peri-implant status and whole salivary interleukin 1-beta levels among individuals using selective serotonin reuptake inhibitors: an observational study

OBJECTIVE

Selective serotonin reuptake inhibitors (SSRI) are commonly used for managing psychological diseases such as depression. These disorders are also directly associated with periodontal and peri-implant diseases, namely periodontitis and peri-implantitis, respectively. It is hypothesized that there is no difference in periodontal and peri-implant clinicoradiographic status and unstimulated whole salivary interleukin (IL)-1β levels in participants using selective serotonin reuptake inhibitors (SSRI) and controls (individuals not using SSRI). The aim of the present observational case-control study was to compare periodontal and peri-implant clinicoradiographic statuses and whole salivary IL-1β in participants using SSRI and controls.

METHODS

Users of SSRI and controls were included. In all participants, periodontal (plaque index [PI], gingival index [GI], probing depth [PD], clinical attachment loss [AL] and marginal bone loss [MBL]) and peri-implant (modified PI [mPI], modified GI [mGI], PD and crestal bone loss [CBL]) were assessed. Unstimulated whole saliva was collected and IL-1β levels were determined. Information related to duration of implants in function, duration of depressive symptoms and treatment of depression was retrieved from healthcare records. Sample-size was estimated using 5% error and group comparisons were performed. P < 0.05 was considered statistically significant.

RESULTS

Thirty-seven SSRI users and 35 controls were assessed. Individuals using SSRI had a history of depression of 4.2 ± 2.5 years. The mean age of SSRI-users and controls were 48.7 ± 5.7 and 45.3 ± 5.1 years, respectively. Tooth brushing twice daily was reported by 75.7% and 62.9% SSRI-users and controls, respectively. There was no statistically significant difference in PI, mPI, GI, mGI, PD, clinical AL, numbers of MT and mesial and distal MBL and CBL among individuals using SSRI compared with controls (Tables 3 and 4). The unstimulated whole salivary flow rate in individuals using SSRI and controls was 0.11 ± 0.003 and 0.12 ± 0.001 ml/min, respectively. Whole salivary IL-1β levels in individuals using SSRI and controls were 57.6 ± 11.6 pg/ml and 34.6 ± 5.2 pg/ml, respectively.

CONCLUSION

Users of SSRI and controls demonstrate healthy periodontal and peri-implant tissue statuses with no marked differences in whole salivary IL-1β levels provided oral hygiene is stringently maintained.

Research trends of exercise therapy of college students in depression from 2002 to 2022: a bibliometric analysis

Background

Depression is a serious psychological disorder that college students are experiencing. College students' depression problems, which can be caused by various factors, have been easily ignored and untreated. In recent years, exercise, as a low-cost and easily accessible method for treating depression, has attracted widespread attention. The purpose of this study is to use bibliometrics to explore the hotspots and trends in the field of exercise therapy of college students in depression from 2002 to 2022.

Methods

We retrieved relevant literature from the Web of Science (WoS), PubMed, and Scopus databases, and generated a ranking table to describe the core productivity in the field. We used VOSViewer software to generate network maps of authors, countries, co-cited journals, and co-occurring keywords to help us better understand the scientific collaboration patterns, potential disciplinary foundations, as well as research hotspots and trends in this field.

Results

From 2002 to 2022, a total of 1,397 articles related to exercise therapy of college students in depression were selected. The key findings of this study are as follows: (1) the number of publications has gradually increased, especially after 2019; (2) United States and its affiliated higher education institutions have made significant contributions to the development of this field; (3) there are multiple research groups in this field, but their connections are relatively limited; (4) the field is relatively interdisciplinary, primarily a convergence of behavioral science, public health, and psychology; (5) based on co-occurring keyword analysis, six main themes were summarized: health-promoting factors, body image, negative behaviors, increased stress, depression coping strategies, and diet.

Conclusion

Our study illustrates the research hotspots and trends for the research of exercise therapy of college students in depression, presents some challenges and new insights, and provides valuable information for further research.

Glucocorticoid Receptor (GR) antagonism as disease-modifying treatment for MDD with childhood trauma: protocol of the RESET-medication randomized controlled trial

BACKGROUND

Major depressive disorder (MDD) is a heterogeneous psychiatric disorder. Childhood trauma (CT, emotional/physical/sexual abuse or neglect before the age of 18) is one of the largest and most consistent risk factors for development and poor course of MDD. Overactivity of the HPA-axis and the stress hormone cortisol is thought to play a role in the vulnerability for MDD following exposure to CT. Rodent experiments showed that antagonism of the glucocorticoid receptor (GR) at adult age reversed the effects of early life stress. Similarly, we aim to target MDD in individuals with CT exposure using the GR antagonist mifepristone.

METHODS

The RESET-medication study is a placebo-controlled double-blind randomized controlled trial (RCT) which aims to include 158 adults with MDD and CT. Participants will be randomized (1:1) to a 7-day treatment arm of mifepristone (1200 mg/day) or a control arm (placebo). Participants are allowed to receive usual care for MDD including antidepressants. Measurements include three face-to-face meetings at baseline (T0), day 8 (T1), week 6 (T2), and two online follow-up meetings at 12 weeks (T3) and 6 months (T4). A subgroup of participants (N = 80) are included in a fMRI sub-study (T0, T2). The main study outcome will be depressive symptom severity as measured with the Inventory of Depressive Symptomatology-Self Rated (IDS-SR) at T2. Secondary outcomes include, among others, depressive symptom severity at other time points, disability, anxiety, sleep and subjective stress. To address underlying mechanisms mifepristone plasma levels, cortisol, inflammation, epigenetic regulation and fMRI measurements are obtained.

DISCUSSION

The RESET-medication study will provide clinical evidence whether GR antagonism is a disease-modifying treatment for MDD in individuals exposed to CT. If effective, this hypothesis-driven approach may extend to other psychiatric disorders where CT plays an important role.

TRIAL REGISTRATION

The trial protocol has been registered 01-02-2022 on ClinicalTrials.gov with ID "NCT05217758".

Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students

BACKGROUND

Since the onset of the COVID-19 pandemic in early 2020, the importance of timely and effective assessment of mental well-being has increased dramatically. Machine learning (ML) algorithms and artificial intelligence (AI) techniques can be harnessed for early detection, prognostication and prediction of negative psychological well-being states.

METHODS

We used data from a large, multi-site cross-sectional survey consisting of 17 universities in Southeast Asia. This research work models mental well-being and reports on the performance of various machine learning algorithms, including generalized linear models, k-nearest neighbor, naïve Bayes, neural networks, random forest, recursive partitioning, bagging, and boosting.

RESULTS

Random Forest and adaptive boosting algorithms achieved the highest accuracy for identifying negative mental well-being traits. The top five most salient features associated with predicting poor mental well-being include the number of sports activities per week, body mass index, grade point average (GPA), sedentary hours, and age.

CONCLUSIONS

Based on the reported results, several specific recommendations and suggested future work are discussed. These findings may be useful to provide cost-effective support and modernize mental well-being assessment and monitoring at the individual and university level.

Evaluation of nutritional status and clinical depression classification using an explainable machine learning method

Introduction

Depression is a prevalent disorder worldwide, with potentially severe implications. It contributes significantly to an increased risk of diseases associated with multiple risk factors. Early accurate diagnosis of depressive symptoms is a critical first step toward management, intervention, and prevention. Various nutritional and dietary compounds have been suggested to be involved in the onset, maintenance, and severity of depressive disorders. Despite the challenges to better understanding the association between nutritional risk factors and the occurrence of depression, assessing the interplay of these markers through supervised machine learning remains to be fully explored.

Methods

This study aimed to determine the ability of machine learning-based decision support methods to identify the presence of depression using publicly available health data from the Korean National Health and Nutrition Examination Survey. Two exploration techniques, namely, uniform manifold approximation and projection and Pearson correlation, were performed for explanatory analysis among datasets. A grid search optimization with cross-validation was performed to fine-tune the models for classifying depression with the highest accuracy. Several performance measures, including accuracy, precision, recall, F1 score, confusion matrix, areas under the precision-recall and receiver operating characteristic curves, and calibration plot, were used to compare classifier performances. We further investigated the importance of the features provided: visualized interpretation using ELI5, partial dependence plots, and local interpretable using model-agnostic explanations and Shapley additive explanation for the prediction at both the population and individual levels.

Results

The best model achieved an accuracy of 86.18% for XGBoost and an area under the curve of 84.96% for the random forest model in original dataset and the XGBoost algorithm with an accuracy of 86.02% and an area under the curve of 85.34% in the quantile-based dataset. The explainable results revealed a complementary observation of the relative changes in feature values, and, thus, the importance of emergent depression risks could be identified.

Discussion

The strength of our approach is the large sample size used for training with a fine-tuned model. The machine learning-based analysis showed that the hyper-tuned model has empirically higher accuracy in classifying patients with depressive disorder, as evidenced by the set of interpretable experiments, and can be an effective solution for disease control.

The prevalence and factors associated with mental disorders in a community setting in central Uganda

BACKGROUND

Mental disorders are known to predict poverty, morbidity and mortality. In resource limited settings, low levels of mental health literacy (MHL) and high mental illness stigma (MIS) have been sighted as possible factors that may impede access to mental health care. However, little has been done to examine the association between mental disorders and these factors (MHL and MIS) in sub-Saharan Africa.

METHODS

We assessed for the prevalence of major depressive disorders (MDD), substance use disorders (SUD), post-traumatic stress disorder (PTSD), generalized anxiety disorder (GAD), documented MHL and MIS among 814 participants from 24 villages in central Uganda. We conducted regression analyses to examine the association between the prevalence of mental disorders, demographic factors as well as MIS and MHL.

RESULTS

Over two thirds of the participants 581 (70%) were female. The mean age of the participants was 38 years (SD± 13.5). The prevalence of mental disorders ranged from 6.8-32%. Participants who were older were less likely to screen positive for GAD (OR 0.98; 0.96-0.99), female gender was protective against SUD (OR 0.46; 0.3-0.68) and those with MDD had lower education level (OR 0.23; 0.1-0.53). The mean MIS score was 11.3 (SD± 5.4) with a range of 6-30 and the mean MHL score was 21.7 (SD ±3.0) with a range of 10-30. MIS was negatively associated with GAD [β = -1.211 (-2.382 to -0.040)]. There no statistically significant association between MHL and a mental disorder.

CONCLUSION

There was a high prevalence of mental disorders in the community that we studied. Adequate resources should be allocated to address this burden.

Prevalence and risk factors of thyroid dysfunction in outpatients with overweight or obese first-episode and drug-naïve major depressive disorder

BACKGROUND

Thyroid dysfunction is common in patients with major depressive disorder (MDD). However, few studies have examined risk factors for thyroid dysfunction in overweight or obese first-episode and drug-naïve (FEDN) MDD patients. This study aimed to investigate the prevalence and risk factors of thyroid dysfunction in FEDN MDD patients with comorbid high body mass index (BMI).

METHODS

A total of 1718 FEDN MDD patients were included. Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) positive subscale were used to assess the clinical symptoms of the patients. In addition, metabolic parameters and thyroid hormone levels were measured.

RESULTS

The prevalence of thyroid dysfunction was approximately 1.75 times higher in MDD patients with comorbid overweight or obesity (72.3 %) than in patients without high BMI (58.8 %). The HAMD score, HAMA score, systolic blood pressure (BP), fasting blood glucose (FBG), thyroid peroxidase antibody (TPOAb), total cholesterol (TC), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C), were risk factors for thyroid dysfunction in MDD patients with high BMI. The combination of HAMD, FBG, TC, LDL-C, and systolic BP had a high AUC value of 0.76 differentiating patients with and without thyroid dysfunction.

LIMITATION

Causality cannot be drawn due to cross-sectional design.

CONCLUSIONS

This study demonstrated a high prevalence of thyroid dysfunction in FEDN MDD patients with high BMI. Severity of depression and anxiety, levels of systolic BP, FBG, TPOAb, TC, HDL-C and LDL-C appear to be associated with thyroid dysfunction in FEDN MDD patients with high BMI.

Changes of gut microbiota reflect the severity of major depressive disorder: a cross sectional study

Disturbed gut microbiota is a potential factor in the pathogenesis of major depressive disorder (MDD), yet whether gut microbiota dysbiosis is associated with the severity of MDD remains unclear. Here, we performed shotgun metagenomic profiling of cross-sectional stool samples from MDD (n = 138) and healthy controls (n = 155). The patients with MDD were divided into three groups according to Hamilton Depression Rating Scale 17 (HAMD-17), including mild (n = 24), moderate (n = 72) and severe (n = 42) individuals, respectively. We found that microbial diversity was closely related to the severity of MDD. Compared to HCs, the abundance of Bacteroides was significantly increased in both moderate and severe MDD, while Ruminococcus and Eubacterium depleted mainly in severe group. In addition, we identified 99 bacteria species specific to severity of depression. Furthermore, a panel of microbiota marker comprising of 37 bacteria species enabled to effectively distinguish MDD patients with different severity. Together, we identified different perturbation patterns of gut microbiota in mild-to-severe depression, and identified potential diagnostic and therapeutic targets.

Local field potentials in major depressive and obsessive-compulsive disorder: a frequency-based review

Objectives

The purpose of this paper is to provide a mini-review covering the recent progress in human and animal studies on local field potentials (LFPs) of major depressive disorder (MDD) and obsessive-compulsive disorder (OCD).

Materials and methods

PubMed and EMBASE were searched to identify related studies. Inclusion criteria were (1) reported the LFPs on OCD or MDD, (2) published in English, and (3) human or animal studies. Exclusion criteria were (1) review or meta-analysis or other literature types without original data and (2) conference abstract without full text. Descriptive synthesis of data was performed.

Results

Eight studies on LFPs of OCD containing 22 patients and 32 rats were included: seven were observational studies with no controls, and one animal study included a randomized and controlled phase. Ten studies on LFPs of MDD containing 71 patients and 52 rats were included: seven were observational studies with no controls, one study with control, and two animal studies included a randomized and controlled phase.

Conclusion

The available studies revealed that different frequency bands were associated with specific symptoms. Low frequency activity seemed to be closely related to OCD symptoms, whereas LFPs findings in patients with MDD were more complicated. However, limitations of recent studies restrict the drawing of definite conclusions. Combined with other measures such as Electroencephalogram, Electrocorticography, or Magnetoencephalography and long-term recordings in various physiological states (rest state, sleep state, task state) could help to improve the understanding of potential mechanisms.

Probiotics for the treatment of depression and its comorbidities: A systemic review

Depression is one of the most common psychiatric conditions, characterized by significant and persistent depressed mood and diminished interest, and often coexists with various comorbidities. The underlying mechanism of depression remain elusive, evidenced by the lack of an appreciate therapy. Recent abundant clinical trials and animal studies support the new notion that the gut microbiota has emerged as a novel actor in the pathophysiology of depression, which partakes in bidirectional communication between the gut and the brain through the neuroendocrine, nervous, and immune signaling pathways, collectively known as the microbiota-gut-brain (MGB) axis. Alterations in the gut microbiota can trigger the changes in neurotransmitters, neuroinflammation, and behaviors. With the transition of human microbiome research from studying associations to investigating mechanistic causality, the MGB axis has emerged as a novel therapeutic target in depression and its comorbidities. These novel insights have fueled idea that targeting on the gut microbiota may open new windows for efficient treatment of depression and its comorbidities. Probiotics, live beneficial microorganisms, can be used to modulate gut dysbiosis into a new eubiosis and modify the occurrence and development of depression and its comorbidities. In present review, we summarize recent findings regarding the MGB axis in depression and discuss the potential therapeutic effects of probiotics on depression and its comorbidities.

Major Depressive Disorder and Oxidative Stress: A Review of Peripheral and Genetic Biomarkers According to Clinical Characteristics and Disease Stages

Major depressive disorder (MDD) is currently the main cause of disability worldwide, but its pathophysiology remains largely unknown, especially given its high heterogeneity in terms of clinical phenotypes and biological characteristics. Accordingly, its management is still poor. Increasing evidence suggests that oxidative stress, measured on various matrices such as serum, plasma or erythrocytes, has a critical role in MDD. The aim of this narrative review is to identify serum, plasma and erythrocyte biomarkers of oxidative stress in MDD patients according to disease stage and clinical features. Sixty-three articles referenced on PubMed and Embase between 1 January 1991, and 31 December 2022, were included. Modifications to antioxidant enzymes (mainly glutathione peroxidase and superoxide dismutase) in MDD were highlighted. Non-enzymatic antioxidants (mainly uric acid) were decreased in depressed patients compared to healthy controls. These changes were associated with an increase in reactive oxygen species. Therefore, increased oxidative damage products (principally malondialdehyde, protein carbonyl content and 8-hydroxy-2'-deoxyguanosine) were present in MDD patients. Specific modifications could be identified according to disease stages and clinical features. Interestingly, antidepressant treatment corrected these changes. Accordingly, in patients in remission from depression, oxidative stress markers were globally normalized. This narrative review suggests the particular interest of oxidative stress biomarkers for MDD care that may contribute to the heterogeneity of the disease and provide the opportunity to find new therapeutic targets.

Identification of novel biomarkers linking depressive disorder and Alzheimer's disease based on an integrative bioinformatics analysis

BACKGROUND

Previous reports revealed that a history of major depressive disorder (MDD) increased the risk of Alzheimer's disease (AD). The immune disorder is associated with MDD and AD pathophysiology. We aimed to identify differentially expressed immune-related genes (DEIRGs) that are involved in the pathogenesis of MDD and AD.

METHODS

We downloaded mRNA expression profiles (GSE76826 and GSE5281) from the Gene Expression Omnibus (GEO) database. The R software was used to identify DEIRGs for the two diseases separately. Functional enrichment analysis and PPI network of DEIRGs were performed. Finally, the relationship between shared DEIRGs and immune infiltrates of AD and MDD were analyzed, respectively.

RESULTS

A total of 121 DEIRGs linking AD and MDD were identified. These genes were significantly enriched in immune-related pathways, such as the JAK-STAT signaling pathway, regulation of chemotaxis, chemotaxis, cytokine-cytokine receptor interaction, and primary immunodeficiency. Furthermore, three shared DEIRGs (IL1R1, CHGB, and NRG1) were identified. Correlation analysis between DEIRGs and immune cells revealed that IL1R1 and NRG1 had a negative or positive correlation with some immune cells both in AD and MDD.

CONCLUSION

Both DEIRGs and immune cell infiltrations play a vital role in the pathogenesis of AD and MDD. Our findings indicated that there are common genes and biological processes between MDD and AD, which provides a theoretical basis for the study of the comorbidity of MDD and AD.

Premenarchal anorexia nervosa: clinical features, psychopharmacological interventions, and rehospitalization analysis in a 1-year follow-up, controlled study

Premenarchal anorexia nervosa (AN) represents a specific subtype of AN, defined by an onset before the menarche in females, involving unique endocrine and prognostic features. The scarce data on this condition lack case-control and follow-up studies. This is a case-control, observational, naturalistic study, involving participants with premenarchal AN (premenarchal girls presenting to the study center newly diagnosed with AN) treated with a multidisciplinary hospital intervention, compared to postmenarchal AN individuals on clinical, endocrine, psychopathological, and treatment variables. The rate of rehospitalizations on a 1-year follow-up after discharge and respective prognostic factors were assessed with a Kaplan-Meier analysis and Cox regression model. The sample included 234 AN participants (43, 18.4% with premenarchal and 191, 81.6% with postmenarchal AN). When compared to postmenarchal, premenarchal AN individuals presented with lower depressive scores (Self-Administered Psychiatric Scales for Children and Adolescents (SAFA)) (U = 1387.0, p = 0.010) and lower luteinizing hormone (LH) levels (U = 3056.0, p = 0.009) and were less frequently treated with antidepressants (X² = 5.927, p = 0.015). A significant predictive model of the risk of rehospitalization (X² = 19.192, p = 0.004) identified a higher age at admission (B = 0.522, p = 0.020) and a day-hospital (vs inpatient) treatment (B = 3957, p = 0.007) as predictive factors for rehospitalization at 1-year, independent from the menarchal status.   Conclusion: This study reports the clinical and treatment characteristics of premenarchal AN in one of the largest samples available in the current literature. Specific clinical features and prognostic factors for rehospitalization at 1-year follow-up were identified. Future studies should longitudinally investigate treatment-dependent modifications in endocrine and psychopathological measures in this population. What is Known: • Premenarchal Anorexia Nervosa (AN) is a subtype of AN characterized by its onset before menarche in females and is associated with unique endocrine and prognostic features. What is New: • Individuals with premenarchal AN may display specific clinical profiles, with lower depressive symptoms and luteinizing hormone levels than postmenarchal controls.

Dysbiosis of the Gut Microbiota and Kynurenine (Kyn) Pathway Activity as Potential Biomarkers in Patients with Major Depressive Disorder

With increasing attention paid to the concept of the microbiota-gut-brain axis, mounting evidence reveals that the gut microbiota is involved in a variety of neurological and psychiatric diseases. However, gut microbiota changes in major depressive disorder (MDD) patients and their association with disease mechanisms remain undefined. Fifty MDD patients and sixty healthy controls were recruited from the Shanghai Healthy Mental Center, China. Fecal samples were collected, and the compositional characteristics of the intestinal flora were determined in MDD patients by MiSeq sequencing. Venous blood was collected for the detection of plasma indoleamine-2,3-dioxygenase (Ido), kynurenine (Kyn) and tryptophan (Trp) levels. Stool samples of bacterial 16S sequencing was carried out. A total of 2,705,809 optimized sequences were obtained, with an average of 54,116 per sample. More unique OTUs were observed at the family, genus and species levels in the control group compared with the MDD cases. Further analysis showed significant changes in the α- and β-diversities and relative abundance levels of gut microbial entities in MDD patients, as well as elevated amounts of Ido and Kyn indicating Kyn pathway activation, KEGG bacterial 16S function prediction analysis shows a variety of amino acids and metabolic (including Ido, Trp and Kyn) changes in the body of patients with MDD. These may result in increased neurotoxic metabolites and reduced generation of serotonin in the disease process. These changed factors may potentially be utilized as biomarkers for MDD in the future, playing more important roles in the disease course.

Stressor or succour? Examining the association between conflict, livestock assets, and farmers' mental health in Nigeria

Farmers are disproportionately vulnerable to violent attacks in the conflict situation in Nigeria, with potential traumatising effects due to the destruction of agricultural livelihoods. In this study, we conceptualise the links between conflict exposure, livestock assets, and depression, using a cross-sectional nationally representative survey of 3021 Nigerian farmers to quantify the relationships. We highlight three main findings. First, conflict exposure is significantly associated with farmers exhibiting depressive symptoms. Second, holding higher herds of livestock, more cattle, and more sheep and goats while exposed to conflict is associated with higher risk of depression. Third, keeping more poultry is negatively associated with depressive symptoms. Finally, this study accentuates the significance of psychosocial support for farmers in conflict situations. The relationships between different livestock species and farmers' mental health may interest further research in strengthening the evidence.

Longitudinal depression screening of frontline critical care nurses during the COVID-19 pandemic: A mixed-methods study

PURPOSE

To evaluate the severity and longitudinal trends of depression in critical care nurses caring for patients with COVID-19 in the US during a global pandemic.

METHODS

The study employed longitudinal mixed methods. Using the Patient Health Questionnaire (PHQ-9), nurses were sent electronic surveys at baseline, 1 month, and between 3 and 6 months to measure the severity and trends of depression during the prevaccination stage of the COVID-19 pandemic. One-on-one interviews were conducted with critical care nurses to evaluate their depressive symptoms.

RESULTS

Forty-eight nurses completed the questionnaire at baseline, 40 completed 1-month surveys, and 20 completed the 3 to 6 month surveys. The mean PHQ-9 score was 5.85, 6.20, and 8.30 at baseline, at 1 month, and at 3 to 6 months, respectively. PHQ-9 scores increased significantly over time (estimate = 1.120, P = .037). The probability of participants being moderately to severely depressed was 0.980 (P = .049) at baseline, 0.990 (P = .013) at 1 month, and 1.0 (P = .002) at 3 to 6 months. Fourteen nurses were included in a single, one-on-one interview. Eight major themes were found in qualitative analyses. For example, nurses expressed fear of spreading COVID-19 to their loved one and community. Common themes identified within the interviews included uncertainty, limited human interaction, fluctuations in mood, life is in my hands, a threat to others, positive and negative coping, nurses as scapegoats, and emerging vulnerability to COVID-19 exposure. All 14 nurses who were interviewed denied accessing any mental health services.

CONCLUSIONS

More research is needed to evaluate critical care nurses who care for patients with COVID-19 and their levels of depression to improve practice at the bedside further and develop policies to promote their well-being.

M, Silambanan S, Kantipudi SJ, Sathianathan R, R. P. Development and Validation of Yoga Protocol for Patients with Depression

Background

Scientific evidence suggests that yoga is beneficial for treating mental health disorders. To the best of our knowledge, minimal studies have been done on the development of a yoga module for the specific clinical aspects of depression and there is no particular study on yoga protocol development for mild depression and moderate depression.

Purpose

The primary aim of this study is to develop specific yoga protocol modules for treating patients affected with mild and moderate depression.

Methods

Yoga protocols for treating mild and moderate depression were developed using classical yoga texts, previous literature, and with the help of yoga experts. 26 practices for mild depression and 35 practices for moderate depression were identified, each of which was scored as (a) not essential, (b) useful but not essential, and (c) essential, and content validity ratio (CVR) determined using Lawshe's formula for the validation.

Results

Expert's opinion revealed that 13 out of 28 practices and 12 out of 35 practices showed significant CVR (>0.60) for mild and moderate depression.

Conclusions

The yoga practices developed based on experts' opinion is the first step toward the development of a validated protocol for mild and moderate depression. This will be assessed for its effectiveness through a randomized controlled study to confirm the module's efficiency.

Fingerprint patterns in neuropsychological disorder depression among south Indian population

Depression is a pervasive mental health disorder characterized by persistent sadness and an inability to enjoy activities that were once enjoyable. This study compares the dermatoglyphic patterns of depressed patients with those of healthy, normal individuals in order to determine if dermatoglyphic patterns can be used as biomarkers for early diagnosis and prompt intervention of depression. A total of 100 depressive disorder patients of both sexes between the ages of 18 and 60 were selected for the study. Dermatoglyphic patterns of individual digits were analyzed using the "Ink and Paper" technique. The Whorl, Loop, and Arch patterns, as well as the AFRC, TFRC, and a-b ridge count, were examined using One-Way ANOVA significance and a Chi-Square test using SPSS 20.0. The results showed that the right hand in the depressive diseased group had decreased numbers of Whorls in the 2nd and 5th digits, and decreased numbers of Loops in all five digits. Similarly, decreased numbers of Whorls were found in the 1st, 2nd, 4th, and 5th digits of the left hand, as well as decreased Loops in the 4th digit. However, there were no changes in the Arches of either hand when compared to the control group. The AFRC and TFRC were significantly decreased (p<0.0001), but there was no significant decrease in the a-b ridge count in the depressive diseased group when compared to the control group. Dermatoglyphics, a noninvasive method, can serve as a screening indicator for depressive individuals, the appearance of the decreased count of whorls and loops parameters might be used as an exploratory sign.

Working alliance in low-intensity internet-based cognitive behavioral therapy for depression in primary care in Spain: A qualitative study

Introduction

Psychotherapies delivered via the Internet have been promoted as an alternative for improving access to psychological treatments. A conceptual working alliance model of blended (i.e., traditional face-to-face consultation combined with Internet-delivered psychotherapy) cognitive-behavioral therapy (b-CBT) for depression has been developed in the UK. However, little is known about how this important therapeutic process, namely the working alliance (WA), is developed and maintained in Internet-delivered cognitive-behavioral therapy without face-to-face consultation (i-CBT). The aim of this study was to evaluate the validity of the WA model of b-CBT in Spanish patients with depression receiving i-CBT.

Methods

Forty-one patients suffering from mild-moderate depression were interviewed to assess their experiences of an i-CBT program. Interviews were conducted with participants who received a self-guided application (n = 9), and low-intensity support (n = 10). Three group interviews were also conducted with patients who either did not start the program (n = 8) or did not complete it (n = 6), and with patients who did complete it (n = 8).

Results

Qualitative thematic content analysis was performed using the constant comparative method, which revealed four main themes: “bond,” “goals,” “task,” and “usability heuristics,” all consistent with the existing literature. However, a new subcategory emerged, called “anonymity,” which may highlight the social stigma that mental illness still has in the Spanish context.

Conclusion

Results suggest that the development and maintenance of the WA through i-CBT could offer a better experience of the therapeutic process and improve the clinical impact.

Clinical Trial Registration

Clinicaltrials.gov, identifier: NCT01611818.

Emotion regulation as a mediator on the relationship between emotional awareness and depression in elementary school students

As a cognitive skill, emotional awareness plays a fundamental role in emotional intelligence and significant effect on the development of individuals’ social adaptation. However, the role of emotional awareness in children’s social adaptation, especially emotional development, remains unclear, the current study sought to determine the significant influence of emotional awareness in children’s emotional development. By using cross-sectional and longitudinal study designs, the current study explored the relationship between emotional awareness and children’s depression, as well as the mediation effect of emotion regulation on this relationship. The sample comprised 166 Chinese elementary school students (89 girls and 77 boys) ranging from 8 to 12 years old. After adjusting for demographic variables (gender, grade, etc.), the results showed that children with high emotional awareness were less likely to adopt expressive suppression as an emotion regulation strategy and had lower depression levels currently and in the future. In contrast, children with low emotional awareness were more likely to use suppression strategies and showed higher depression levels. Thus, the results indicated that emotional awareness could predict children’s current and future depression status. Meanwhile, emotional regulation strategies are an important mediating variable explaining the relationship between emotional awareness and children’s depression. Implications and limitations were also discussed.

Right-side frontal-central cortical hyperactivation before the treatment predicts outcomes of antidepressant and electroconvulsive therapy responsivity in major depressive disorder

Major depressive disorder places a great burden on healthcare resources worldwide. Antidepressants are the first-line treatment for major depressive disorder, but if patients don't respond adequately, brain stimulation therapy may be needed as second-line treatment. Digital phenotyping in patients with major depressive disorder will aid in the timely prediction of treatment effectiveness. This study explored electroencephalographic (EEG) signatures that diversify depression treatment responsivity, including antidepressant administration or brain stimulation therapy. Resting-state, pre-treatment EEG sequences from depressive patients who received fluoxetine treatment (n = 55; 26 remitters and 29 poor responders) or electroconvulsive therapy (ECT, n = 58; 36 remitters and 22 nonremitters) were recorded on 19 channels. Twenty-nine EEG segments were obtained from each patient per recording electrode. Power spectral analysis was conducted for feature extraction and showed the highest predictive accuracy for fluoxetine or ECT outcomes. Both occurred with beta-band oscillations within right-side frontal-central (F1-score = 0.9437) or prefrontal areas of the brain (F1-score = 0.9416), respectively. Significantly higher beta-band power was observed among patients who lacked adequate treatment response than the remitters, specifically at 19.2 Hz or 24.5 Hz for fluoxetine administration or ECT outcome, respectively. Our findings indicated that pre-treatment, right-side cortical hyperactivation is associated with poor outcomes of antidepressant-based or ECT-based treatment in major depression. Whether depression treatment response rates can be improved by reducing the high-frequency EEG power in corresponding areas of the brain to provide a protective effect against depression recurrence warrants further study.

BPRS domains, items and subgroups analyses, and CGI-I ratings in pooled data from non-interventional studies of aripiprazole once-monthly in schizophrenia (REACT study)

BACKGROUND

Patients with schizophrenia may benefit from treatment with long-acting injectable (LAI) formulations of antipsychotics. Aripiprazole once-monthly (AOM) is an LAI that was tested in two non-interventional studies in Germany and Canada.

METHODS

Here, we report on analyses of pooled data from the two non-interventional studies. Patients were treated with AOM under real-life conditions. Data were analyzed for a timeframe of 6 months. We analyzed data on Brief Psychiatric Rating Scale (BPRS) domains and items, BPRS total scores in various patient subgroups (male vs. female patients, patients with disease duration ≤ 5 years and > 5 years, patients with different levels of disease severity at baseline), Clinical Global Impression - Improvement (CGI-I) ratings for the total population and subgroups, and comorbidities for the total population.

RESULTS

Data from 409 patients were included. 65.5% of the patients had comorbidities. Improvements were found in all BPRS domains and items. Furthermore, improvements were similar for male and female patients, patients with disease duration ≤ 5 years and > 5 years, and across different levels of disease severity at baseline. Numerically, more favorable results were found for younger patients, female patients, and those with shorter disease duration.

CONCLUSIONS

AOM can be an effective treatment in the broad range of patients, across sexes, regardless of patient age and duration of disease, independently of disease severity, and across symptoms.

TRIAL REGISTRATION

NCT02131415 (May 6, 2014), vfa non-interventional studies registry 15960N.

Network analysis of somatic symptoms in Chinese patients with depressive disorder

Introduction

Network theory conceptualizes somatic symptoms as a network of individual symptoms that are interconnected and influenced by each other. In this conceptualization, the network's central symptoms have the strongest effect on other symptoms. Clinical symptoms of patients with depressive disorders are largely determined by their sociocultural context. To our knowledge, no previous study has investigated the network structure of somatic symptoms among Chinese patients with depressive disorders. The aim of this study was to characterize the somatic symptoms network structure in patients with depressive disorders in Shanghai, China.

Method

A total of 177 participants were recruited between October 2018 and June 2019. The Chinese version of the Patient Health Questionnaire-15 was used to assess somatic symptoms. In order to quantify the somatic symptom network structure, indicators of “closeness,” “strength,” and “betweenness” were employed as identifiers for network-central symptoms.

Result

The symptoms of “feeling your heart pound or race,” “shortness of breath,” and “back pain” had the highest centrality values, indicating that these symptoms were central to the somatic symptom networks. Feeling tired or mentally ill had the strongest positive correlation with insomnia or other sleep problems (r = 0.419), followed by chest pain and breathlessness (r = 0.334), back pain, and limb or joint pain (r = 0.318).

Discussion

Psychological and neurobiological research that offers insights into somatic symptoms may focus on these central symptoms as targets for treatment and future research.

The roles of extracellular vesicles in major depressive disorder

Major depressive disorder (MDD) is a serious mental disease characterized by depressed mood, loss of interest and suicidal ideation. Its rising prevalence has rendered MDD one of the largest contributors to the global disease burden. However, its pathophysiological mechanism is still unclear, and reliable biomarkers are lacking. Extracellular vesicles (EVs) are widely considered important mediators of intercellular communication, playing an important role in many physiological and pathological processes. Most preclinical studies focus on the related proteins and microRNAs in EVs, which can regulate energy metabolism, neurogenesis, neuro-inflammation and other pathophysiological processes in the development of MDD. The purpose of this review is to describe the current research progress of EVs in MDD and highlight their potential roles as biomarkers, therapeutic indicators and drug delivery carriers for the treatment of MDD.

Fast antidepressant action of ketamine in mouse models requires normal VGLUT1 levels from prefrontal cortex neurons

The NMDA antagonist ketamine demonstrated a fast antidepressant activity in treatment-resistant depression. Pre-clinical studies suggest that de novo synthesis of the brain-derived neurotrophic factor (BDNF) in the PFC might be involved in the rapid antidepressant action of ketamine. Applying a genetic model of impaired glutamate release, this study aims to further identify the molecular mechanisms that could modulate antidepressant action and resistance to treatment. To that end, mice knocked-down for the vesicular glutamate transporter 1 (VGLUT1+/-) were used. We analyzed anhedonia and helpless behavior as well as the expression of the proteins linked to glutamate transmission in the PFC of mice treated with ketamine or the reference antidepressant reboxetine. Moreover, we analyzed the acute effects of ketamine in VGLUT1+/- mice pretreated with chronic reboxetine or those that received a PFC rescue expression of VGLUT1. Chronic reboxetine rescued the depressive-like phenotype of the VGLUT1+/- mice. In addition, it enhanced the expression of the proteins linked to the AMPA signaling pathway as well as the immature form of BDNF (pro-BDNF). Unlike WT mice, ketamine had no effect on anhedonia or pro-BDNF expression in VGLUT1+/- mice; it also failed to decrease phosphorylated eukaryote elongation factor 2 (p-eEF2). Nevertheless, we found that reboxetine administered as pretreatment or PFC overexpression of VGLUT1 did rescue the antidepressant-like activity of acute ketamine in the mice. Our results strongly suggest that not only do PFC VGLUT1 levels modulate the rapid-antidepressant action of ketamine, but also highlight a possible mechanism for antidepressant resistance in some patients.

Serum NOX1 and Raftlin as new potential biomarkers of Major Depressive Disorder: A study in treatment-naive first episode patients

INTRODUCTION

Biological factors are known to be important in understanding the pathogenesis of Major Depressive Disorder (MDD). Oxidative stress and neuroinflammation pathways are likely to play a critical role here.

METHODS

We undertook a study to investigate two novel biomarkers - serum NADPH oxidase 1 (NOX1) and Raftlin levels - in treatment-naive, smoking-free first episode patients with MDD compared to healthy controls (HCs) matched for age, sex and body mass index.

RESULTS

We found increased NOX1 and Raftlin levels in MDD patients compared to HCs. Both parameters showed very good diagnostic performance in the MDD group. In addition, we found a significant positive correlation between depression severity (HAMD) scores and both biomarker levels in the patient group.

CONCLUSION

To the best of our knowledge, this is the first human study to evaluate serum NOX1 and Raftlin levels in depression. NOX1, an important source of reactive oxygen species (ROS), and Raftlin, which may play a role in the inflammatory process, represent novel potential biomarkers of MDD. These findings support the implication of oxidative stress and inflammatory processes in patients with MDD, and indicate that the deteriorated ROS-antioxidant balance can be regulated via NOX1 in patients with depression.

MiR-1281 is involved in depression disorder and the antidepressant effects of Kai-Xin-San by targeting ADCY1 and DVL1

Kai-Xin-San (KXS) is a Chinese medicine formulation that is commonly used to treat depression caused by dual deficiencies in the heart and spleen. Recent studies indicated that miRNAs were involved in the pathophysiology of depression. However, there have been few studies on the mechanism underlying the miRNAs directly mediating antidepressant at clinical level, especially in nature drugs and TCM compound. In this study, we identified circulating miRNAs defferentially expressed among the depression patients (DPs), DPs who underwent 8weeks of KXS treatment and health controls (HCs). A total of 45 miRNAs (17 were up-regulated and 28 were down-regulated) were significantly differentially expressed among three groups. Subsequently, qRT-PCR was used to verify 10 differentially expressed candidate miRNAs in more serum samples, and the results showed that 6 miRNAs (miR-1281, miR-365a-3p, miR-2861, miR-16-5p, miR-1202 and miR-451a) were consistent with the results of microarray. Among them, miR-1281, was the novel dynamically altered and appeared to be specifically related to depression and antidepressant effects of KXS. MicroRNA-gene-pathway-net analysis showed that miR-1281-regulated genes are mostly key nodes in the classical signaling pathway related to depression. Additionally, our data suggest that ADCY1 and DVL1 were the targets of miR-1281. Thus, based on the discovery of miRNA expression profiles in vivo, our findings suggest a new role for miR-1281 related to depression and demonstrated in vitro that KXS may activate cAMP/PKA/ERK/CREB and Wnt/β-catenin signal transduction pathways by down-regulating miR-1281 that targets ADCY1 and DVL1 to achieve its role in neuronal cell protection.

Latent Class Analysis of Depressive Symptom Phenotypes Among Black/African American Mothers

BACKGROUND

Depression is a growing global problem with significant individual and societal costs. Despite their consequences, depressive symptoms are poorly recognized and undertreated because wide variation in symptom presentation limits clinical identification-particularly among African American (AA) women-an understudied population at an increased risk of health inequity.

OBJECTIVES

The aims of this study were to explore depressive symptom phenotypes among AA women and examine associations with epigenetic, cardiometabolic, and psychosocial factors.

METHODS

This cross-sectional, retrospective analysis included self-reported Black/AA mothers from the Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure study (data collected in 2015-2020). Clinical phenotypes were identified using latent class analysis. Bivariate logistic regression examined epigenetic age, cardiometabolic traits (i.e., body mass index ≥ 30 kg/m 2 , hypertension, or diabetes), and psychosocial variables as predictors of class membership.

RESULTS

All participants were Black/AA and predominantly non-Hispanic. Over half of the sample had one or more cardiometabolic traits. Two latent classes were identified (low vs. moderate depressive symptoms). Somatic and self-critical symptoms characterized the moderate symptom class. Higher stress overload scores significantly predicted moderate-symptom class membership.

DISCUSSION

In this sample of AA women with increased cardiometabolic burden, increased stress was associated with depressive symptoms that standard screening tools may not capture. Research examining the effect of specific stressors and the efficacy of tools to identify at-risk AA women are urgently needed to address disparities and mental health burdens.

Dose-response association of total sedentary behaviour and television watching with risk of depression in adults: A systematic review and meta-analysis

BACKGROUND

Although sedentary behaviour has been increasingly linked to depression, evidence remains conflicted and meta-analysis of the dose-response associations in adults is lacking. We aimed to explore the quantitative dose-response association of total sedentary behaviour and television watching with depression among adults.

METHODS

We systematically searched PubMed, Embase and Web of Science for articles to identify observational studies that assessed the association of total sedentary behaviour and television watching with depression in adults. Summary risk ratios (RRs) and 95 % confidence intervals (CIs) were estimated for the dose-response association by using a fixed or random-effects model. Restricted cubic splines were used to evaluate the possible linear or non-linear relations.

RESULTS

We included 16 studies with 221,599 participants in this meta-analysis, 10 for total sedentary behaviour and 6 for television watching. The summary RR of depression for the highest versus lowest total sedentary behaviour and television watching were 1.42 (95 % CI: 1.22-1.67) and 1.26 (95 % CI: 1.14-1.40), respectively. We found a non-linear association between total sedentary behaviour and depression. For participants with total sedentary time 8 h/day and 9 h/day, the risk of depression was increased by 20 % (RR 1.20, 95 % CI 1.09-1.29) and 29 % (RR 1.29, 95 % CI 1.20-1.40), respectively. A linear dose-response association was observed between television watching and depression. For each 1 h/day increase in television watching, risk of depression was increased by 5 % (RR: 1.05, 95 % CI: 1.02-1.09).

CONCLUSIONS

Depression may be associated with increased time spent in total sedentary behaviour and television watching.

Global occurrence of depressive symptoms during the COVID-19 pandemic

OBJECTIVE

This study aimed to estimate the occurrence of depressive symptoms in a global population of young, middle-aged and older adults amid the COVID-19 pandemic. Study data also assessed the impact of the social restrictions caused by the pandemic on depressive symptomatology.

METHODS

A self-administered internet-based survey was completed by 111,225 individuals residing in 176 countries (March-April 2020). We retained: demographic data, depressive symptoms (PHQ8), anxieties specific to the COVID-19, personality traits (Big-Five Personality Questionnaire), comorbidity frequency, health quality, behavioral variables (i,e., staying at home, avoiding social gatherings, social distancing in the past week). Occurrence of depressive symptoms was estimated using standard cut-offs (total PHQ8 score ≥ 10). Hierarchical regression modeling examined correlates of depressive symptoms (PHQ8 score) in three groups stratified by age, i.e., 18-34, 35-54 and 55+ years.

RESULTS

Moderate to severe depressive symptoms were present in 27% of young, 15% middle-aged and 9% older adults. Younger age, female gender, not partnered, higher anxiety, and poorer health were associated with elevated depressive symptoms. Staying at home/not attending social gatherings were minor contributors to depressive symptoms in young and middle-aged adults. These were not significant in older adults. Social distancing was a marginal contributor in middle-aged and near significant in older adults, but not significant in young adults.

CONCLUSIONS

The occurrence of depressive symptoms is decreasing with advancing age. Increased risk of depressive symptoms was associated with being a younger adult, females, single/divorced, poorer health and higher anxiety. In all age groups, the presence of depressive symptoms was greater than global estimates preceding the COVID-19 pandemic. Social restrictions amid the COVID-19 pandemic were marginal risks for depressive symptoms.

The role of early life adversity and inflammation in stress-induced change in reward and risk processes among adolescents

BACKGROUND

Early life adversity (ELA) has long been associated with increased risk for stress-related psychopathology, particularly depression. The neuroimmune network hypothesis posits that ELA increases sensitivity to psychosocial stress, moderating the association between increases in peripheral markers of inflammation and decreases in reward outcomes linked to anhedonia and risk-taking behaviors. The present study examined this hypothesis in a sample of adolescents by using acute psychosocial stress to probe the role of inflammatory signaling in behavioral measures of reward and risk processing.

METHOD

80 adolescents [13.86 years (SD = 1.54); 45 % female], oversampled for ELA, underwent the Trier Social Stress Test for Children while providing blood samples immediately before and 60-minutes after stress onset. Blood samples were assayed for plasma IL-6. One hour before stress onset, and then 60 min after, participants completed computer-administered behavioral tasks measuring reward (Pirate Task) and risk (Balloon Analog Risk Task).

RESULTS

ELA moderated the association between increases in IL-6 and decreases in risk tolerance in pursuit of rewards (p = 0.003) and reward response bias (p = 0.04). Stress-induced increases in IL-6 were associated with decreases in pumps for rewards among adolescents exposed to high, relative to little or no, ELA. Further, greater IL-6 increases were associated with increases in bias toward high relative to low value rewards among adolescents with low adversity exposure but not among those exposed to higher adversity.

CONCLUSIONS

The present study provides the first evidence in a pediatric sample that ELA may alter the role of stress-induced inflammation in reward and risk processing, and may extend our understanding of why stress leads to depression in this high-risk population.

NMDA receptors as therapeutic targets for depression treatment: Evidence from clinical to basic research

Ketamine, functioning as a channel blocker of the excitatory glutamate-gated N-methyl-d-aspartate (NMDA) receptors, displays compelling fast-acting and sustained antidepressant effects for treatment-resistant depression. Over the past decades, clinical and preclinical studies have implied that the pathology of depression is associated with dysfunction of glutamatergic transmission. In particular, the discovery of antidepressant agents modulating NMDA receptor function has prompted breakthroughs for depression treatment compared with conventional antidepressants targeting the monoaminergic system. In this review, we first summarized the signalling pathway of the ketamine-mediated antidepressant effects, based on the glutamate hypothesis of depression. Second, we reviewed the hypotheses of the synaptic mechanism and network of ketamine antidepressant effects within different brain areas and distinct subcellular localizations, including NMDA receptor antagonism on GABAergic interneurons, extrasynaptic and synaptic NMDA receptor-mediated antagonism, and ketamine blocking bursting activities in the lateral habenula. Third, we reviewed the different roles of NMDA receptor subunits in ketamine-mediated cognitive and psychiatric behaviours in genetically-manipulated rodent models. Finally, we summarized the structural basis of NMDA receptor channel blockers and discussed NMDA receptor modulators that have been reported to exert potential antidepressant effects in animal models or in clinical trials. Integrating the cutting-edge technologies of cryo-EM and artificial intelligence-based drug design (AIDD), we expect that the next generation of first-in-class rapid antidepressants targeting NMDA receptors would be an emerging direction for depression therapeutics. This article is part of the Special Issue on 'Ketamine and its Metabolites'.

The interactive association of adverse childhood experiences and polygenic susceptibility with depressive symptoms and chronic inflammation in older adults: a prospective cohort study

BACKGROUND

Adverse childhood experiences (ACEs) and genetic liability are important risk factors for depression and inflammation. However, little is known about the gene-environment (G × E) mechanisms underlying their aetiology. For the first time, we tested the independent and interactive associations of ACEs and polygenic scores of major depressive disorder (MDD-PGS) and C-reactive protein (CRP-PGS) with longitudinal trajectories of depression and chronic inflammation in older adults.

METHODS

Data were drawn from the English longitudinal study of ageing (N~3400). Retrospective information on ACEs was collected in wave3 (2006/07). We calculated a cumulative risk score of ACEs and also assessed distinct dimensions separately. Depressive symptoms were ascertained on eight occasions, from wave1 (2002/03) to wave8 (2016/17). CRP was measured in wave2 (2004/05), wave4 (2008/09), and wave6 (2012/13). The associations of the risk factors with group-based depressive-symptom trajectories and repeated exposure to high CRP (i.e. ⩾3 mg/L) were tested using multinomial and ordinal logistic regression.

RESULTS

All types of ACEs were independently associated with high depressive-symptom trajectories (OR 1.44, 95% CI 1.30-1.60) and inflammation (OR 1.08, 95% CI 1.07-1.09). The risk of high depressive-symptom trajectories (OR 1.47, 95% CI 1.28-1.70) and inflammation (OR 1.03, 95% CI 1.01-1.04) was also higher for participants with higher MDD-PGS. G×E analyses revealed that the associations between ACEs and depressive symptoms were larger among participants with higher MDD-PGS (OR 1.13, 95% CI 1.04-1.23). ACEs were also more strongly related to inflammation in participants with higher CRP-PGS (OR 1.02, 95% CI 1.01-1.03).

CONCLUSIONS

ACEs and polygenic susceptibility were independently and interactively associated with elevated depressive symptoms and chronic inflammation, highlighting the clinical importance of assessing both ACEs and genetic risk factors to design more targeted interventions.

Depression symptoms reducing return to work: a meta-analysis of prospective studies

Objectives. This study was conducted to estimate the risk of return to work for people who experience symptoms of depression based on the pool of prospective data. Methods. All online articles in PubMed and Scopus which were accessible before November 2019 were searched. The odds ratios of each of the studies were pooled together to obtain an overall odds ratio. The pool of studies was with random effects. The analysis was performed based on the depression symptoms scale, type of disease and duration of follow-up. Two other aspects were examined in the analysis, one being the bias in the publication of studies and the other being the level of heterogeneity that was examined. Results. Thirty-five studies were selected for the meta-analysis. The pooled odds ratio indicates that the odds of return to work in people with depressive symptoms is 31% lower than in those without depressive symptoms. The funnel plot shows that there is asymmetry. The Egger test result was significant (p < 0.001) and there is publication bias. Conclusion. Depression symptoms after sick leave due to physical illness is a risk factor for not returning to work.

Use of Intrinsic Capacity Domains as a Screening Tool in Public Health

The World Health Organization (WHO) created the concept of Integrated Care for Older People and one of its constructs is intrinsic capacity (IC). The study aimed to carry out a screening with the tools designated by the WHO to assess the IC domains and whether they can be used as indicators for decision-making on integrated care for older people based on risk categorization. The interaction between the risk category and the domain scores was verified. One hundred and sixty three (163) community-dwelling older people of both genders were evaluated. Domains assessed: cognitive, psychological, vitality, locomotion, and sensory. Scores indicating a low, moderate and high risk were assigned to each domain. For all domains, there were individuals in all risk groups. Effect of risk on the domains: cognitive [χ²(2) = 134.042; p < 0.001], psychological [χ²(2) = 92.865; p < 0.001], vitality [χ²(2) = 129.564; p < 0.001], locomotion [χ²(2) = 144.101; p < 0.001], and sensory [χ²(2) = 129.037; p < 0.001]. Scores of the CI domains were affected by the risk category. There were individuals in all risk groups, demonstrating the importance of screening as a public health strategy, making it possible to know which risk category each elderly person belongs to and thus develop strategies in the short-, medium- and long-term.

Adaptation, Validity, and Reliability of the Patient Health Questionnaire (PHQ-9) in the Kurdistan Region of Iraq

AIM

The Patient Health Questionnaire (PHQ-9) is widely used for detecting and screening depression in Iraq. However, no psychometric assessment has been performed on any Iraqi version. This study aims at studying the reliability and validity of the Iraqi Kurdish version of the PHQ-9 as tool for identifying depression.

METHODS

A cross-sectional study design was used; data were collected from 872 participants (49.3% female and 51.7% male) at Primary Health Care Centers (PHCCs) in the host community as well as from Internal Displaced Persons (IDPs) and refugee camps. Sociodemographic information was obtained; PHQ-9 for the diagnosis and screening of depression and Self Reporting Questionnaire 20 items (SRQ-20) for the screening of common mental illnesses were administered. Validity and reliability analyses were performed.

RESULTS

In total, 19% of the participants had a PHQ-9 total score equal to or higher than the clinical cut-off of 10 for diagnosing depressive disorder. The internal consistency of the PHQ-9 was good (Cronbach's alpha coefficient was 0.89). Good concurrent validity for PHQ-9 compared with SRQ-20 (71%, p < 0.001) was found.

CONCLUSIONS

The PHQ-9 demonstrates good psychometric properties and proves to be a good tool for detecting and screening depression.

Weapons of stress reduction: (R,S)-ketamine and its metabolites as prophylactics for the prevention of stress-induced psychiatric disorders

Exposure to stress is one of the greatest contributing factors to developing a psychiatric disorder, particularly in susceptible populations. Enhancing resilience to stress could be a powerful intervention to reduce the incidence of psychiatric disease and reveal insight into the pathophysiology of psychiatric disorders. (R,S)-ketamine and its metabolites have recently been shown to exert protective effects when administered before or after a variety of stressors and may be effective, tractable prophylactic compounds against psychiatric disease. Drug dosing, sex, age, and strain in preclinical rodent studies, significantly influence the prophylactic effects of (R,S)-ketamine and related compounds. Due to the broad neurobiological actions of (R,S)-ketamine, a variety of mechanisms have been proposed to contribute to the resilience-enhancing effects of this drug, including altering various transcription factors across the genome, enhancing inhibitory connections from the prefrontal cortex, and increasing synaptic plasticity in the hippocampus. Promisingly, select data have shown that (R,S)-ketamine may be an effective prophylactic against psychiatric disorders, such as postpartum depression (PPD). Overall, this review will highlight a brief history of the prophylactic effects of (R,S)-ketamine, the potential mechanisms underlying its protective actions, and possible future directions for translating prophylactic compounds to the clinic. This article is part of the Special Issue on 'Ketamine and its Metabolites'.