The nature of clinical depression: symptoms, syndromes, and behavior analysis

Cognitive-behavioral statuses in depression and internet gaming disorder of adolescents: A transdiagnostic approach

To investigate the comorbidity of adolescent depression and Internet gaming disorder (IGD) and their shared and unique cognitive-behavioral factors (i.e., self-esteem, dysfunctional attitudes, hopelessness, and coping), a large-scale school-based survey was conducted among 3147 Chinese secondary school students in Hong Kong. Probable depression and IGD were screened using the Centre for Epidemiological Studies-Depression Scale and DSM-5 IGD checklist, respectively. Multinomial logistic regression was performed to identify the associations between different condition statuses and cognitive-behavioral factors. Four groups were identified, including comorbidity group (having probable depression and IGD), IGD group (having probable IGD alone), depression group (probable depression alone), and healthy group (neither condition). Comorbidity group showed the worst cognitive-behavioral statuses, followed by depression group and then IGD group. Compared with healthy group, those with lower self-esteem and higher hopelessness and dysfunctional attitudes were more likely to be classified into depression group and comorbidity group, while maladaptive coping was positively associated with all three disorder groups. The results suggest that depression and IGD may share common cognitive-behavioral mechanisms (e.g., maladaptive coping) but also own their uniqueness regarding specific factors (e.g., hopelessness and self-esteem). A transdiagnostic intervention approach targeting the common factors may effectively address the comorbidity.

Translation from Preclinical Research to Clinical Trials: Transdermal Drug Delivery for Neurodegenerative and Mental Disorders

Neurodegenerative diseases (NDs), particularly dementia, provide significant problems to worldwide healthcare systems. The development of therapeutic materials for various diseases has a severe challenge in the form of the blood-brain barrier (BBB). Transdermal treatment has recently garnered widespread favor as an alternative method of delivering active chemicals to the brain. This approach has several advantages, including low invasiveness, self-administration, avoidance of first-pass metabolism, preservation of steady plasma concentrations, regulated release, safety, efficacy, and better patient compliance. Topics include the transdermal method for therapeutic NDs, their classification, and the mechanisms that allow the medicine to enter the bloodstream through the skin. The paper also discusses the obstacles and potential outcomes of transdermal therapy, emphasizing the benefits and drawbacks of different approaches.

Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic

Background

Coronavirus disease 2019 pandemic pointed out significant mental symptoms of frontline healthcare workers (HCWs).

Objective

We aimed to estimate the prevalence and comorbidity of post-traumatic stress symptoms (PTSS), depression and anxiety symptoms in HCWs from Fangcang shelter hospitals during the pandemic.

Design

Demographic information, post-traumatic stress disorder checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Questionnaire (GAD-7) were obtained online based on stratified random sampling design during April 2022, with 284 eligible responses.

Method

Hierarchical regression analyses were applied to investigate independent variables associated with psychological status outcomes (PHQ-9, GAD-7 and PCL-5), and the network analyses were applied to explore the comorbidity using all items of PCL-5, PHQ-9 and GAD-7.

Results

(1) 10.56%, 13.03% and 8.10% of HCWs reported PTSS, depression and anxiety symptoms. Fifty-three (18.66%) HCWs experienced at least one mental health disorder, among which 26.42-37.74% HCWs had comorbidity of two or three mental disorders; (2) several influence factors of mental health were identified, including medical professions, working hours, contacted patients (p < 0.05); (3) prominent bridge symptoms between PTSS and depression were sleep problems, suicide ideation, concentration difficulties and recklessness. Comorbidity between PTSS and anxiety was thought to mainly stem from negative affect, such as afraid, anxious, annoyed and worrying. Depressed mood and worry might be good targets during treatment of comorbidity of depression and anxiety.

Conclusion

Our data suggest mild level of PTSS, depression and anxiety symptoms among HCWs during the pandemic and might give novel insights into assessment and intervention of comorbidity.

Prevalence of depression and clinical depressive symptoms in community-dwelling older adults with cognitive frailty

AIM

The present study determines the prevalence of depression and the extent of clinical depression symptoms among community-dwelling older adults with cognitive frailty and its associated factors.

METHODS

A total of 755 older adults aged ≥60 years were recruited. Their cognitive performance was determined using the Clinical Dementia Rating. Fried's criteria was applied to identify physical frailty, and the Beck Depression Inventory assessed their mental states.

RESULTS

A total of 39.2% (n = 304) of the participants were classified as cognitive frail. In this cognitive frail subpopulation, 8.6% (n = 26) had clinical depressive symptoms, which were mostly somatic such as disturbance in sleep pattern, work difficulty, fatigue, and lack of appetite. Older adults with cognitive frailty also showed significantly higher depression levels as compared with the noncognitive frail participants (t (622.06) = -3.38; P = 0.001). There are significant associations between depression among older adults with cognitive frailty and multimorbidity (P = 0.009), polypharmacy (P = 0.009), vision problems (P = 0.046), and hearing problems (P = 0.047). The likelihood of older adults with cognitive frailty who experience impairments to their vision and hearing, polypharmacy, and multimorbidity to be depressed also increased by 2, 3, 5, and 7-fold.

CONCLUSIONS

The majority of the Malaysian community-dwelling older adults were in a good mental state. However, older adults with cognitive frailty are more susceptible to depression due to impairments to their hearing and vision, multimorbidity, and polypharmacy. As common clinical depressive symptoms among older adults with cognitive frailty are mostly somatic, it is crucial for health professionals to recognize these and not to disregard them as only physical illness. Geriatr Gerontol Int 2024; 24: 225-233.

The Effectiveness of Cognitive Behavioral Therapy on Depression and Sleep Problems for Climacteric Women: A Systematic Review and Meta-Analysis

(1) Background: Women in their middle years undergoing perimenopause encounter a range of physical and psychological alterations attributed to hormonal changes. The prominent symptoms among menopausal women are depressive symptoms and sleep-related problems. The aim of this study was to conduct a meta-analysis examining the effects of Cognitive Behavioral Therapy (CBT) on women going through menopause, specifically focusing on depressive symptoms and sleep problems. We analyzed studies conducted both within the country and across international settings over the last decade. (2) Methods: A search of the literature was conducted-a targeted search, exclusively considering randomized controlled trials (RCTs) that were published within the timeframe spanning from 15 June 2013 to 15 June 2023. (3) Findings: Upon reviewing nine studies that satisfied our inclusion criteria and involved a total of 923 participants, it was noted that four of these studies incorporated diverse cognitive-behavioral strategies. Among the nine studies, a total of four were included in the meta-analysis: two measured depressive symptoms, and two measured sleep quality. The combined effect size for depressive symptoms was found to be 3.55 (95% confidence interval: -5.48, -1.61; p < 0.05), and for sleep quality, it was 0.78 (95% confidence interval: -1.32, -0.25; p = 0.004). (4) Conclusions: Our review emphasizes the necessity for conducting larger-scale studies focused on the application of CBT for women experiencing menopausal symptoms. Additionally, it is recommended to approach the interpretation of these results with caution due to discrepancies in methodology and the overall quality of the studies. Further clinical trials are necessary to establish the ideal number of CBT sessions needed for the effective treatment of depression in menopausal women. Future studies should cover a wider range of geographical locations, including more countries, and focus on various outcomes such as depressive symptoms and sleep quality.

The evolution of the subjective well-being of the general population during the COVID-19 pandemic period: the case of Belgium

The consequences of the COVID-19 pandemic period on a nation's well-being remain inadequately understood, especially over time. Therefore, this research aims to map the changes in the subjective well-being (SWB) of the general Belgian adult population during the COVID-19 pandemic. Analyses of variances (ANOVA) were performed to evaluate the changes in SWB during the pandemic at five different time points during the period from February 2020 until December 2022 using repeated cross-sectional representative samples of the Belgian population. The differences over time in subjective well-being were investigated in terms of life evaluation, positive affect, and negative affect. The changes in autonomy, competence, relatedness, loneliness and peace of mind were also explored as explanatory variables. Moderation analyses were performed to investigate the differential changes in well-being for different age groups. Our results show the subjective well-being of the Belgian population decreased during the COVID-19 pandemic, notably during the second lockdown and the fifth wave. Furthermore, younger individuals are significantly more susceptible to negative changes in well-being during the pandemic period. Finally, our results show that peace of mind is an important predictor of all SWB components during the pandemic. Based on these results several policy recommendations are formulated.

Insomnia and depression levels among Malaysian undergraduate students in the Faculty of Medicine and Health Sciences (FMHS), Universiti Putra Malaysia (UPM) during Movement Control Order (MCO)

Rapid outbreak of coronavirus disease 2019 has caused the implementation of the movement control order (MCO) which aimed to reduce the spread in Covid-19 infections. While some may find it easy to adjust to the new norm, others found it difficult to switch from their normal routines and habits as according to the MCO SOP. This resulted in a more frequent insomnia and depression that subsequently impacted their mental health. Insomnia and depression levels are examined in this study as they relate to the Covid-19 Pandemic and the MCO among Malaysian undergraduate health sciences students at the Faculty of Medicine and Health Sciences, UPM. Random sampling methods were utilised with consideration of inclusion and exclusion criteria. The Patient Health Questionnaire-9 (PHQ-9) and the Insomnia Severity Index (ISI) were the instrument packages used in this investigation. An internet platform was used to distribute the questionnaire. Based on the results, it is concluded that depression and insomnia are significantly correlated, with a p-value of 0.05. This study also revealed the link between the severity of insomnia and the severity of depression among UPM students studying health sciences. The percentage of students with depression and insomnia was rather high (54.9% and 33.9%, respectively), and this occurred during the second wave of Covid-19 cases in Malaysia.

A Dynamic Probabilistic Model for Heterogeneous Data Fusion: A Pilot Case Study from Computer-Aided Detection of Depression

The present paper, in the framework of a search for a computer-aided method to detect depression, deals with experimental data of various types, with their correlation, and with the way relevant information about depression delivered by different sets of data can be fused to build a unique body of knowledge about individuals' mental states facilitating the diagnosis and its accuracy. To this aim, it suggests the use of a recently introduced «limiting form» of the kinetic-theoretic language, at present widely used to describe complex systems of objects of the most diverse nature. In this connection, the paper mainly aims to show how a wide range of experimental procedures can be described as examples of this «limiting case» and possibly rendered by this description more effective as methods of prediction from experience. In particular, the paper contains a simple, preliminary application of the method to the detection of depression, to show how the consideration of statistical parameters connected with the analysis of speech can modify, at least in a stochastic sense, each diagnosis of depression delivered by the Beck Depression Inventory (BDI-II).

Global research trends and mapping knowledge structure of depression in dialysis patients

BACKGROUND

Depression is one of the most common and important psychological issues faced by dialysis patients. It can make it more difficult for them to adhere to their treatment regimen, which, in turn, can worsen their physical symptoms and lead to poorer health outcomes.

AIM

To examine the evolution and growth of publications related to dialysis and depression. The objectives were to identify the number of publications, the top active countries, the contributed institutions, funding agencies and journals, as well as to perform citation and research theme analysis.

METHODS

The search was conducted using the Scopus database for publications related to dialysis and depression between 1970 and 2022. Subsequently, bibliometric analysis was carried out on the data obtained using VOSviewer software, version 1.6.9. This analysis included visualization analysis, co-occurrence analysis and examination of publication trends in dialysis and depression.

RESULTS

We identified 800 publications that met the search criteria. The number of publications related to dialysis and depression has increased significantly in the past two decades. The USA led the way with 144 publications, which is 18% of all publications on this topic. Turkey came second with 88 publications (11%), followed by China with 55 publications (6.88%) and Iran with 52 publications (6.5%). Analysis of the research theme identified three main clusters related to gender differences in prevalence, identification of depression as a risk factor, and effective interventions to relieve depression. Future research direction analysis shows a shift toward effective interventions to relieve depression in dialysis patients.

CONCLUSION

This study provides a comprehensive overview of growth, trends and research themes related to dialysis and depression that could help researchers identify gaps in the literature and develop future research.

Network analysis of frontal lobe alpha asymmetry confirms the neurophysiological basis of four subtypes of depressive behavior

Introduction

Although depression is widespread carries a major disease burden, current treatments remain non-universally effective, arguably due to the heterogeneity of depression, and leading to the consideration of depressive "subtypes" or "depressive behavior subtypes." One such model of depressive behavior (DB) subtypes was investigated for its associations with frontal lobe asymmetry (FLA), using a different data analytic procedure than in previous research in this field.

Methods

100 community volunteers (54 males, 46 females) aged between 18 yr. and 75 years (M = 32.53 yr., SD = 14.13 yr) completed the Zung Self-rating Depression Scale (SDS) and underwent 15 min of eyes closed EEG resting data collection across 10 frontal lobe sites. DB subtypes were defined on the basis of previous research using the SDS, and alpha-wave (8-13 Hz) data produced an index of FLA. Data were examined via network analysis.

Results

Several network analyses were conducted, producing two models of the association between DB subtypes and FLA, confirming unique neurophysiological profiles for each of the four DB subtypes.

Discussion

As well as providing a firm basis for using these DB subtypes in clinical settings, these findings provide a reasonable explanation for the inconsistency in previous FLA-depression research.

EEG frontal lobe asymmetry as a function of sex, depression severity, and depression subtype

To investigate possible contributors to the inconsistent association between frontal lobe asymmetry (FLA) and depression, EEG data were collected across five frontal sites, and examined for their associations with four subtypes of depression (Depressed mood, Anhedonia, Cognitive depression, Somatic depression). One hundred community volunteers (54 males, 46 females) aged at least 18 yr completed standardized scales for depression and anxiety, and gave EEG data under Eyes Open and Eyes Closed conditions. Results indicated that, although there was no significant correlation between the differences in EEG power across each of the five pairs of frontal sites and total depression scores, there were several meaningful correlations (accounting for at least 10% of the variance) between specific EEG site differences data and each of the four depression subtypes. There were also different patterns of association between FLA and the depression subtypes according to sex, and total depression severity. These findings help to explain the apparent inconsistency in previous FLA-depression results, and argue for a more nuanced approach to this hypothesis.

Cucurbita maxima Seeds Reduce Anxiety and Depression and Improve Memory

The current study was planned to assess the neuropharmacological benefits of the Cucurbita maxima seed. These seeds have been conventionally used for the nutritional as well as amelioration of various diseases. However, there was a need to provide a pharmacological basis for such use. Four central nervous system-related functions, that is, anxiety, depression, memory, and motor coordination, were evaluated, and the levels of brain biogenic amines were also assessed. Anxiety was evaluated through selected experimental models, such as light and dark apparatus, elevated plus maze, head dip, and open field test. The head dip test was mainly used to assess exploratory behavior. Depression was assessed by two animal models, that is, the forced swim test and tail suspension test. Memory and learning ability were assessed by the passive avoidance test, stationary rod apparatus, and Morris's water maze test. Motor skilled learning was assessed by stationary rod and rotarod apparatus. Reversed phase high-pressure liquid chromatography was used to determine biogenic amine levels. Results reveal that C. maxima exhibited anxiolytic and antidepressant effects with memory improvement. There was a reduction in the weight of the animal following chronic administration. Furthermore, no remarkable effects were observed on motor coordination. Norepinephrine was found elevated, which may be linked to its antidepressant effects. These biological effects of C. maxima may be due to the presence of secondary metabolites, such as cucurbitacin, beta-sitosterol, polyphenolic compounds, citrulline, kaempferol, arginine, β-carotene, quercetin, and other antioxidants. The outcomes of the present study authenticate that the chronic use of C. maxima seeds reduces the intensity of neurological problems like anxiety and depression.

"Don't [ruminate], be happy": A cognitive perspective linking depression and anhedonia

Anhedonia, a lack of pleasure in things an individual once enjoyed, and rumination, the process of perseverative and repetitive attention to specific thoughts, are hallmark features of depression. Though these both contribute to the same debilitating disorder, they have often been studied independently and through different theoretical lenses (e.g., biological vs. cognitive). Cognitive theories and research on rumination have largely focused on understanding negative affect in depression with much less focus on the etiology and maintenance of anhedonia. In this paper, we argue that by examining the relation between cognitive constructs and deficits in positive affect, we may better understand anhedonia in depression thereby improving prevention and intervention efforts. We review the extant literature on cognitive deficits in depression and discuss how these dysfunctions may not only lead to sustained negative affect but, importantly, interfere with an ability to attend to social and environmental cues that could restore positive affect. Specifically, we discuss how rumination is associated to deficits in working memory and propose that these deficits in working memory may contribute to anhedonia in depression. We further argue that analytical approaches such as computational modeling are needed to study these questions and, finally, discuss implications for treatment.

A Narrative Review on REM Sleep Deprivation: A Promising Non-Pharmaceutical Alternative for Treating Endogenous Depression

Endogenous depression represents a severe mental health condition projected to become one of the worldwide leading causes of years lived with disability. The currently available clinical and non-clinical interventions designed to alleviate endogenous depression-associated symptoms encounter a series of inconveniences, from the lack of intervention effectiveness and medication adherence to unpleasant side effects. In addition, depressive individuals tend to be more frequent users of primary care units, which markedly affects the overall treatment costs. In parallel with the growing incidence of endogenous depression, researchers in sleep science have discovered multiple links between rapid eye movement (REM) sleep patterns and endogenous depression. Recent findings suggest that prolonged periods of REM sleep are associated with different psychiatric disorders, including endogenous depression. In addition, a growing body of experimental work confidently describes REM sleep deprivation (REM-D) as the underlying mechanism of most pharmaceutical antidepressants, proving its utility as either an independent or adjuvant approach to alleviating the symptoms of endogenous depression. In this regard, REM-D is currently being explored for its potential value as a sleep intervention-based method for improving the clinical management of endogenous depression. Therefore, this narrative review represents a comprehensive inventory of the currently available evidence supporting the potential use of REM-D as a reliable, non-pharmaceutical approach for treating endogenous depression, or as an adjuvant practice that could improve the effectiveness of currently used medication.

Introducing a depression-like syndrome for translational neuropsychiatry: a plea for taxonomical validity and improved comparability between humans and mice

Depressive disorders are the most burdensome psychiatric disorders worldwide. Although huge efforts have been made to advance treatment, outcomes remain unsatisfactory. Many factors contribute to this gridlock including suboptimal animal models. Especially limited study comparability and replicability due to imprecise terminology concerning depressive-like states are major problems. To overcome these issues, new approaches are needed. Here, we introduce a taxonomical concept for modelling depression in laboratory mice, which we call depression-like syndrome (DLS). It hinges on growing evidence suggesting that mice possess advanced socioemotional abilities and can display non-random symptom patterns indicative of an evolutionary conserved disorder-like phenotype. The DLS approach uses a combined heuristic method based on clinical depression criteria and the Research Domain Criteria to provide a biobehavioural reference syndrome for preclinical rodent models of depression. The DLS criteria are based on available, species-specific evidence and are as follows: (I) minimum duration of phenotype, (II) significant sociofunctional impairment, (III) core biological features, (IV) necessary depressive-like symptoms. To assess DLS presence and severity, we have designed an algorithm to ensure statistical and biological relevance of findings. The algorithm uses a minimum combined threshold for statistical significance and effect size (p value ≤ 0.05 plus moderate effect size) for each DLS criterion. Taken together, the DLS is a novel, biologically founded, and species-specific minimum threshold approach. Its long-term objective is to gradually develop into an inter-model validation standard and microframework to improve phenotyping methodology in translational research.

Contributions of age and clinical depression to metacognitive performance

One aspect of metacognition is the ability to judge the accuracy of our own performance, even in the absence of external feedback, which is often measured using confidence ratings. Past research suggests that confidence is lower in Major Depressive Disorder (MDD). Less is known about the ability of MDD patients to discriminate correct from incorrect performance (metacognitive efficiency). The metacognitive performance of aged MDD patients (62-89y) was compared to an age-matched control group. A younger control group (21-28y) was included to also explore the relationshipbetweenageandmetacognitive performance. We found no difference in confidence bias nor metacognitive efficiency between MDD patients and age-matched controls.We found age-related differences in metacognition:normal aging was associated with higher confidencebut lower metacognitive efficiency. The overconfidence was specifically driven by overconfidence in incorrect trials. Our results point to the importance ofage while investigating the relation between MDD and metacognitive performance.

A Cross-Sectional Study on the Prevalence of Depressive Symptoms and Its Associated Sociodemographic Factors in Peru during the COVID-19 Pandemic

The present study aims to analyze the prevalence of depressive symptoms and its sociodemographic-associated factors in Peruvian adults. Data was extracted from a nation-wide representative survey in which depression symptoms were measured with the PHQ-9 and sociodemographic information was extracted from household data. Depression severity rates were estimated for each symptom, and responses were modeled through the Rating Scale Model to obtain a depression measure used as dependent variable on a Generalized Mixed Linear Model. The most frequent depression symptoms were emotional, such as discouragement, sad mood, hopelessness, and lack of pleasure when doing activities. Our model showed that, after controlling the effects of all the variables considered, the most relevant predictors were gender, education level, physiographic region, age, marital status, and number of coresidents. Higher depression levels were found in women, people who did not complete higher education, participants living in the Highlands, older adults, single participants, and people living alone. Thus, interventions to promote or prevent depression severity during similar situations as the pandemic should focus on specific sociodemographic groups and their particular needs.

Cerebellar Microstructural Abnormalities in Parkinson's Disease: a Systematic Review of Diffusion Tensor Imaging Studies

Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the neural fibers of the CNS. This technique can study white matter (WM) microstructure in neurodegenerative disorders, including Parkinson's disease (PD). Previous neuroimaging studies have suggested cerebellar involvement in the pathogenesis of PD, and these cerebellum alterations can correlate with PD symptoms and stages. Using the PRISMA 2020 framework, PubMed and EMBASE were searched to retrieve relevant articles. Our search revealed 472 articles. After screening titles and abstracts, and full-text review, and implementing the inclusion criteria, 68 papers were selected for synthesis. Reviewing the selected studies revealed that the patterns of reduction in cerebellum WM integrity, assessed by fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity measures can differ symptoms and stages of PD. Cerebellar diffusion tensor imaging (DTI) changes in PD patients with "postural instability and gait difficulty" are significantly different from "tremor dominant" PD patients. Freezing of the gate is strongly related to cerebellar involvement depicted by DTI. The "reduced cognition," "visual disturbances," "sleep disorders," "depression," and "olfactory dysfunction" are not related to cerebellum microstructural changes on DTI, while "impulsive-compulsive behavior" can be linked to cerebellar WM alteration. Finally, higher PD stages and longer disease duration are associated with cerebellum white matter alteration depicted by DTI. Depiction of cerebellar white matter involvement in PD is feasible by DTI. There is an association with disease duration and severity and several clinical presentations with DTI findings. This clinical-imaging association may eventually improve disease management.

Long-Term Effects of Repeated Social Defeat Stress on Brain Activity during Social Interaction in BALB/c Mice

Understanding the long-term effects of stress on brain function is crucial for understanding the mechanisms of depression. The BALB/c mouse strain has high susceptibility to stress and is thus an effective model for depression. The long-term effects of repeated social defeat stress (SDS) on BALB/c mice, however, are not clear. Here, we investigated the effects of repeated SDS in male BALB/c mice over the subsequent two weeks. Some defeated mice immediately exhibited social avoidance, whereas anxiety-like behavior was only evident at later periods. Furthermore, defeated mice segregated into two groups based on the level of social avoidance, namely, avoidant and nonavoidant mice. The characteristic of avoidance or nonavoidance in each individual was not fixed over the two weeks. In addition, we developed a semi-automated method for analyzing c-Fos expression in the mouse brain to investigate the effect of repeated SDS on brain activity more than two weeks after the end of the stress exposure. Following social interaction, c-Fos expression was reduced in several brain regions in the defeated mice compared with control mice. The correlation of c-Fos expression among these brain areas, with exception of the medial prefrontal cortex (mPFC) and central amygdala (CeA), was increased in defeated mice, suggesting increased synchrony. Notably, c-Fos expression in the lateral habenula (LHb) was different between mice that exhibited social avoidance from immediately after the repeated SDS and those that exhibited social avoidance only at later periods. These observations provide insight into the long-term effects of social stress on behavior and brain activity.

A Machine Learning Approach Detecting Digital Behavioural Patterns of Depression Using Non-intrusive Smartphone Data - A Complementary Path to PHQ-9 Assessment: A Prospective Observational Study

BACKGROUND

Depression is a major global cause of morbidity, an economic burden and the greatest health challenge leading to chronic disability. Mobile monitoring of mental conditions has long been a sought-after metric to overcome the problems associated with the screening, diagnosis and monitoring of depression and its heterogeneous presentation. The widespread availability of smartphones has made it possible to use its data to generate digital behavioral models which can be used for both clinical and remote screening and monitoring purposes, providing a tentative and scalable solution to the pressing global need for early and effective solutions. This study is novel because it adds to the field by conducting a trial using private and non-intrusive sensors that can help detect and monitor depression in a continuous passive manner.

OBJECTIVE

This study demonstrates a novel mental behavioral profiling metric (Mental Health Similarity Score) derived from analyzing passively monitored, private and non-intrusive smartphone usage data, to identify and track depressive behavior and its progression. The analysis is performed using machine learning models trained on different levels of depression severity measured through the PHQ-9 (Patient Health Questionnaire-9) questionnaire.

METHODS

Smartphone data sets and self-reported 9-item PHQ depression assessments were collected from 558 smartphone users on the Android operating system in an observational study over an average of 10.7 days (SD=23.7). We quantified 37 digital behavioral markers from the passive smartphone data set and explored the relationship between the digital behavioral markers and depression using correlation coefficients and random forest models. We leveraged 4 supervised machine learning (ML) classification algorithms with hyperparameter optimization, fifteen-fold cross-validation, bootstrapping and imbalanced data handling to predict depression and its severity using PHQ-9 scores as the ground truth. We also quantified an additional 3 digital markers from gyroscope sensors and explored its feasibility in improving the model's accuracy in detecting depression.

RESULTS

Of the 558 participants, 254 (46%) were males and 286 (51%) were females and 18 (3%) preferred not to say. Participants age distribution is as follows: 474 (85%) users between the ages of 18-25, 29 (5%) aged between 26-35, 42 (7%) aged between 36-55, 10 (2%) were aged between 56-64 and 3 (<1%) above 64 years of age. Of the 558 reported PHQ-9 assessments, 63 responses were non-depressed (scored <5), 124 responses indicated mild depression (scored 5-9), 162 indicated moderate depression (scored 10-14), 131 indicated moderately severe (scored 15-19) and 78 indicated severe depression (scored 20-27), as identified by the PHQ-9 cut off points. Gender imbalance was present within each of the 5 severity groups, with a male majority in the non-depressed and mild groups and female majority in the moderate, moderately severe, and severe groups. Of the 469 individuals that reported having 'No Diagnosis' as their current diagnostic status in their demographic's questionnaire, 307 (65%) scored moderate to severe depression (PHQ-9 scores >=10). The PHQ-9 two class (none vs. severe) model achieved the following metrics: precision 85-89%; recall 85-89%; F1 87%, and overall accuracy is 87%. The PHQ-9 three class (none vs. mild vs. severe) model achieved the following metrics: precision 74-86%; recall 76-83%; F1 75-84%, and overall accuracy is 78%. A significant positive Pearson correlation was found between PHQ-9 questions 2, 6 and 9 within the severely depressed users and the mental behavioral profiling metric (r=0.73). The PHQ-9 question specific (questions 2,6, and 9) model achieved the following metrics: precision 76-80%; recall 75-81%; F1 78-89%, and overall accuracy is 78%. When adding a gyroscope sensor as a feature, the Pearson correlation between 2,6 and 9 dropped from r= 0.73 to r=0.46. Mean activity (P=3.08e-4) and average gap activity (P=1.69e-4) features from the gyroscope sensors had statistically significant differences between none and severe individuals. The PHQ-9 two class model + gyro features achieved the following metrics: precision 74-78%; recall 67-83%; F1 72-78%, and overall accuracy is 76%.

CONCLUSIONS

Our results demonstrate that the Mental Health Similarity Score can be used to identify and track depressive behavior and its progression with high accuracy. Therefore, the current and traditional methods of assessing depression can be coupled with digital behavioral markers to have a significant impact in mitigating depression and its far-reaching consequences.

CLINICALTRIAL

COVID-19: Detecting depression signals during stay-at-home period

The new coronavirus outbreak has been officially declared a global pandemic by the World Health Organization. To grapple with the rapid spread of this ongoing pandemic, most countries have banned indoor and outdoor gatherings and ordered their residents to stay home. Given the developing situation with coronavirus, mental health is an important challenge in our society today. In this paper, we discuss the investigation of social media postings to detect signals relevant to depression. To this end, we utilize topic modeling features and a collection of psycholinguistic and mental-well-being attributes to develop statistical models to characterize and facilitate representation of the more subtle aspects of depression. Furthermore, we predict whether signals relevant to depression are likely to grow significantly as time moves forward. Our best classifier yields F-1 scores as high as 0.8 and surpasses the utilized baseline by a considerable margin, 0.173. In closing, we propose several future research avenues.

Self-stigma in patients with major depressive disorder: An exploratory study from India

BACKGROUND

One of the barriers to effective care in patients with depression is stigma associated with having a mental disorder, which also acts as a barrier to recovery and increases the disability.

AIMS

To study the stigma and disabilities experienced by the patients with depressive disorders seeking treatment in a tertiary care hospital.

METHODOLOGY

Fifty patients diagnosed to have depressive disorder as per ICD-10 were recruited by convenient sampling. To measure the stigma, the Discrimination and Stigma Scale -12 was applied. The severity of depression was determined by applying Hamilton Depression Rating Scale (HAMD). The disability was calculated by using WHO Disability Assessment Schedule 2.0.

RESULTS

Fifty percentages of the participants reported unfair treatment and they experienced discrimination in at least one life domain. There was significant positive correlation between unfair treatment subscale of stigma and disability. Around one fourth of the participants reported to be treated unfairly by their own families. Seventy percent reported to have concealed their mental health problems, 54% have stopped themselves from having a close personal relationship and 32% didn't apply for work in anticipating discrimination. Experienced and anticipated discrimination were significantly associated with concealing the mental health problem.

CONCLUSION

Stigma due to having depression acts as a barrier to vocational & social integration and functional recovery. Concealment of the diagnosis of depression is itself barrier for help seeking and to receiving appropriate treatment. Small sample size and adopting the purposive sampling method are the limitations of the study.

Poor health and functioning in patients with axial spondyloarthritis during the COVID-19 pandemic and lockdown: REUMAVID study (phase 1)

Aim:

To evaluate the overall health and functioning in patients with axial spondyloarthritis (axSpA) and related factors affecting these during the COVID-19 pandemic and lockdown measures.

Methods:

Data from 587 axSpA patients participating in the first phase (April–July 2020) of the REUMAVID study who completed the ASAS Health Index (ASAS-HI) were analysed. REUMAVID is a cross-sectional study that collects data through an online survey to assess the impact of the COVID-19 pandemic on patients with rheumatic and musculoskeletal diseases across seven European countries. Poor health was defined as ASAS-HI ⩾ 12. The World Health Organization Five well-being index, self-perceived health status and change in health status during COVID-19 pandemic were evaluated as secondary outcomes. Logistic regression models were used to identify the factors associated with poor health.

Results:

According to the ASAS-HI, 147 (25.0%) patients reported poor health. Pain and moving around were the main affected categories. In addition, 14.0% reported their self-perceived health status as ‘bad’ or ‘very bad’ and 46.8% as worse than before the pandemic. In the multivariate analysis, smoking (OR = 1.98), diabetes (OR = 4.89) and taking painkillers (OR = 2.82) or corticosteroids use (OR = 2.20) were significantly associated with poor health, while engaging in physical activity (OR = 0.54) and being actively employed (OR = 0.48) were inversely associated with this.

Conclusions:

During the first wave of the COVID-19 pandemic, one in four axSpA patients reported poor health and functioning, while the self-perceived health status of almost half of these patients worsened. Nonsmoking, physical activity and being employed were associated with better outcomes.

The Relationship Between Depression and Multifactorial Control and Microvascular Complications in Vietnamese with Type 2 Diabetes Mellitus Aged 30-60 Years

BACKGROUND

Depression is a common mental disorder in people with type 2 diabetes mellitus (T2DM). Depression and T2DM have a reciprocal interaction through many factors, of which the most important is the multifactorial control and microvascular complications of T2DM.

AIM

This research aims to determine the rate of depression and the association between depression and multifactorial control and microvascular complications in patients with T2DM aged 30-60 years in Vietnam.

METHODS

A cross-sectional and descriptive study was conducted on 231 outpatients with T2DM at Bach Mai hospital, Hanoi, Vietnam. Depression severity was measured with the Patient Health Questionnaire-9 (PHQ-9).

RESULTS

The rate of depression in patients with T2DM aged 30-60 years was 16.9% (in which, the rate of mild depression was 15.2% and moderate depression was 1.7%; no serious depression). The prevalence of depression was higher in female patients than in male patients (p = 0.049). There is a statistically significant difference in the rate of depression by age, duration of diabetes, and treatment method for type 2 diabetes. Poor HbA1c control and microvascular complications increase the risk of depression (OR = 2.37; 95% CI 1.11-5.02, p = 0.033 and OR = 2.62; 95% CI 1.15-5.93, p = 0.027, respectively). When the multivariate analysis was performed, it was shown that sex, treatment for glycemic control, and microvascular complications had a statistically significant influence on PHQ-9 score.

CONCLUSION

In Vietnam, there are 16.9% of patients with T2DM aged 30-60 years suffer from depression. Poor HbA1c control, the presence of microvascular complications, and without antihyperglycemic treatment increase the risk of developing depression.

The Impact of Social Support on Students’ Behavior in the Context of Iraqi Medical Education

BACKGROUND: Mental health problems are reflected and linked to human behavior in many aspects. Medical students are susceptible to a wide variety of events that compromise their mental well-being, social life as well as their academic achievements. AIM: This study aimed to find the impact of social support on medical students’ behavior in Iraq via assessing their depression, anxiety, and stress status. METHODS: A cross-sectional online survey-based study targeted all medical students in Iraq. The employed questionnaires covered mental health status of participants by evaluating their perceptions of depression, anxiety, and stress using. Data were analyzed using the Statistical Analysis System. RESULTS: The study revealed a significant influence of social support on students’ perceptions of depression and anxiety, but not of their perception of stress. CONCLUSION: Lending social support to medical student is crucial to improve their depression and anxiety with all the positive results that the support brings to their behavior and social life. However, they need more than the social support to keep them safe from academic and daily life stressors.

A Narrative Review on Dialectical Behavior Therapy for Patients with Depressive Difficulties

Background:

Dialectical behavior therapy (DBT) is a type of cognitive behavioral therapy (CBT) that was earlier intended to treat only patients with borderline personality disorder (BPD), but researchers have found DBT to treat several psychological disorders, including depression.

Aim:

The article aims to review the clinical shreds of evidence regarding the use of DBT to treat depression.

Methods:

PubMed literature search was done by applying the year filter range, 2010 to 2021. Another filter applied was "Randomized controlled trial", so that the strength of evidence could be enhanced. The keywords used were "Dialectical Behavior Therapy" AND "Depression

Results:

33 articles were found, out of which only 20 relevant articles were reviewed. DBT was found to alleviate depressive symptoms associated with different psychological disorders like bipolar disorder and BPD but the number of studies that validated the afore-mentioned were less than those studies which showed that DBT had no significant effect on the patients with depressive difficulties. The long-term effect of DBT for treating depression is under a suspect, as studies showed DBT got ineffective during the follow-ups

Conclusion:

DBT shows benefits in depression but further studies are still required to validate this concretely as DBT did not show a significant effect when compared to its control counterparts. There is much need for future studies which can evaluate the long-term efficacy of DBT in depression is another challenging area because follow-up data did not favor DBT.

Neurogenesis-dependent antidepressant-like activity of Hericium erinaceus in an animal model of depression

Background

Depression is a severe neuropsychiatric disorder that affects more than 264 million people worldwide. The efficacy of conventional antidepressants are barely adequate and many have side effects. Hericium erinaceus (HE) is a medicinal mushroom that has been reported to have therapeutic potential for treating depression.

Methods

Animals subjected to chronic restraint stress were given 4 weeks HE treatment. Animals were then screened for anxiety and depressive-like behaviours. Gene and protein assays, as well as histological analysis were performed to probe the role of neurogenesis in mediating the therapeutic effect of HE. Temozolomide was administered to validate the neurogenesis-dependent mechanism of HE.

Results

The results showed that 4 weeks of HE treatment ameliorated depressive-like behaviours in mice subjected to 14 days of restraint stress. Further molecular assays demonstrated the 4-week HE treatment elevated the expression of several neurogenesis-related genes and proteins, including doublecortin, nestin, synaptophysin, brain-derived neurotrophic factor (BDNF), tropomyosin receptor kinase B (TrkB), phosphorylated extracellular signal-regulated kinase, and phosphorylated cAMP response element-binding protein (pCREB). Increased bromodeoxyuridine-positive cells were also observed in the dentate gyrus of the hippocampus, indicating enhanced neurogenesis. Neurogenesis blocker temozolomide completely abolished the antidepressant-like effects of HE, confirming a neurogenesis-dependent mechanism. Moreover, HE induced anti-neuroinflammatory effects through reducing astrocyte activation in the hippocampus, which was also abolished with temozolomide administration.

Conclusion

HE exerts antidepressant effects by promoting neurogenesis and reducing neuroinflammation through enhancing the BDNF-TrkB-CREB signalling pathway.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13020-021-00546-8.

The Impact of Study Mode (Online vs. Hybrid) on Early Symptoms of Depression and Coping Strategies among University Students in Poland in Time of COVID-19 Pandemic-Preliminary Study

Introduction: mental health has been one of the most important issues surrounding the COVID-19 pandemic; mental disorders can be exacerbated by isolation during lockdowns or online learning. The aim of this study was to analyze the relationship between non-clinical (early) symptoms of depressed moods, personality traits, and coping strategies, as well as whether the learning mode (online versus hybrid) differentiates the experiences of these early symptoms and coping strategies. Methods: 114 university students aged 19 to 34, whose education model was changed from stationary to hybrid or online due to COVID-19 restrictions, participated in the study. The participants completed the online questionnaire, which consisted of two sections: (1) demographic questions to characterize the subjects and 44 questions based on the literature review. (2) Mini-COPE Inventory. Results: the study showed that the fully online study mode has a negative impact on the mental health of students; hybrid students are more likely to use active and positive coping strategies, which effectively help to control negative thoughts and/or reduce negative mental states. Conclusions: the COVID-19 pandemic has had significant psychological effects that will extend to coming years; therefore, implementing systemic psychological care is of utmost importance.

Clinical phenotypes of depressed patients with evidence of inflammation and somatic symptoms

Whether depressed patients with evidence of inflammation are more appropriate candidates for immunotherapies is being tested in several clinical trials, which are selecting patients based on elevated C-reactive protein (CRP) and inflammation-related symptoms. However, studies of the clinical and phenotypic profile of depressed patients with elevated CRP are relatively scarce. We have investigated detailed clinical characteristics of 84 depressed patients, grouped as those with (CRP≥3 mg/L) and without (CRP<3 mg/L) inflammation. All patients met the International Classification of Diseases 10th Revision criteria for current depressive episode and had somatic symptoms of depression. We report that depressed patients with inflammation are more likely to be older (P=0.04), have higher body mass index (P<0.01), and be on non-selective serotonin reuptake inhibitor antidepressants (P=0.04). After adjusting for potential confounders, the inflammation group had higher depression severity (adjusted mean difference, 8.82; 95% CI, 3.91–13.72), somatic symptoms (adjusted mean difference, 3.25; 95% CI, 1.58–4.92), state anxiety (adjusted mean difference, 9.25; 95% CI, 3.82–14.67), perceived stress (adjusted mean difference, 4.58; 95% CI, 1.98–7.18), and fatigue (adjusted mean difference, 9.71; 95% CI, 3.09–6.33), but not anhedonia. The inflamed group also had poorer quality of life (adjusted mean difference, −0.18; 95% CI, −0.32–0.05). At individual depressive symptom level, the inflammation group had increased guilty feelings (adjusted odds ratio [OR], 7.28; 95% CI, 2.09–31.17), pessimism (adjusted OR, 5.38; 95% CI, 1.53–22.73), concentration difficulties (adjusted OR, 4.56; 95% CI, 1.32–19.02), and indecisiveness (adjusted OR, 4.21; 95% CI, 1.15–18.54). Our findings highlight the clinical features associated with inflammation in depressed patients with somatic symptoms, including poor quality of life, supporting the need for intervention targeting this group. These results could also aid patient and outcome selection in future clinical trials testing immunotherapies in depression. Replication of these findings in larger samples is required.

•

We studied clinical features of depressed patients with somatic symptoms with/without evidence of inflammation .

•

Elevated CRP (≥3mg/L) was associated with higher age, higher BMI, and non-SSRI treatment.

•

Elevated CRP (≥3mg/L) was associated with higher depression severity, fatigue, state anxiety, and stress.

•

Elevated CRP (≥3mg/L) was associated with poorer subjective wellbeing and quality of life.

•

Elevated CRP (≥3mg/L) was associated with both somatic and psychological symptoms of depression.

Behavioural activation and trial-based cognitive therapy may be beneficial to reduce suicidal ideation in major depressive disorder: A post hoc study from a clinical trial

WHAT IS KNOWN AND OBJECTIVE

The suicidality spectrum is a clinical challenge because of the difficulty of its management and its association with mortality. Few studies have investigated psychotherapies for reducing the components of suicidality. In this study, we compared the effect of behavioural activation (BA), trial-based cognitive therapy (TBCT) - both added to antidepressant (AD) treatment - and treatment as usual (TAU) in mitigating suicidal ideation in patients with major depressive disorder (MDD).

METHODS

A post hoc study was conducted with data from a randomized clinical trial. Secondary analyses compared the treatments using scores from the items that evaluated suicidal ideation with the HAM-D (HAM-D-3) and BDI (BDI-9). A composite measurement was constructed by summing the scores from the two items (HAM-D-3 plus BDI-9).

RESULTS AND DISCUSSION

Seventy-six patients were analysed (BA + AD = 24; TBCT + AD = 26 and TAU = 26). In HAM-D-3, the BA + AD group showed a statistically greater reduction than the TAU group. In BDI-9, the three groups did not show significant differences. In the HAM-D-3 plus BDI-9, TBCT + AD reduced ideations more than the TAU group. There were no differences among the psychotherapies in any of the measures. Sensitivity analyses showed improvement in suicidal ideation in both psychotherapies compared to TAU.

WHAT IS NEW AND CONCLUSION

This is one of the few studies that evaluated the effect of BA and TBCT in lowering suicidal ideation. Adding these therapies to ADs seems to decrease suicidal ideation. We suggest the possible beneficial effects of BA and TBCT in the management of suicidal ideation in patients with recurrent MDD. Our findings need further studies to confirm these results.

Trauma-focused treatments for depression. A systematic review and meta-analysis

BACKGROUND

Trauma-focused treatments (TFTs) have demonstrated efficacy at decreasing depressive symptoms in individuals with PTSD. This systematic review and meta-analysis evaluated the effectiveness of TFTs for individuals with depression as their primary concern.

METHODS

A systematic search was conducted for RCTs published before October 2019 in Cochrane CENTRAL, Pubmed, EMBASE, PsycInfo, and additional sources. Trials examining the impact of TFTs on participants with depression were included. Trials focusing on individuals with PTSD or another mental health condition were excluded. The primary outcome was the effect size for depression diagnosis or depressive symptoms. Heterogeneity, study quality, and publication bias were also explored.

RESULTS

Eleven RCTs were included (n = 567) with ten of these using EMDR as the TFT and one using imagery rescripting. Analysis suggested these TFTs were effective in reducing depressive symptoms post-treatment with a large effect size [d = 1.17 (95% CI: 0.58~ 1.75)]. Removal of an outlier saw the effect size remain large [d = 0.83 (95% CI: 0.48~ 1.17)], while the heterogeneity decreased (I2 = 66%). Analysis of the 10 studies that used EMDR also showed a large effect [d = 1.30 (95% CI: 0.67~1.91)]. EMDR was superior to non trauma-focused CBT [d = 0.66 (95% CI: 0.31~1.02)] and analysis of EMDR and imagery rescripting studies suggest superiority over inactive control conditions [d = 1.19 (95% CI: 0.53~ 1.86)]. Analysis of follow-up data also supported the use of EMDR with this population [d = 0.71 (95% CI: 1.04~0.38)]. No publication bias was identified.

CONCLUSIONS

Current evidence suggests that EMDR can be an effective treatment for depression. There were insufficient RCTs on other trauma-focused interventions to conclude whether TFTs in general were effective for treating depression. Larger studies with robust methodology using EMDR and other trauma-focused interventions are needed to build on these findings.

Transdermal Route: A Viable Option for Systemic Delivery of Antidepressants

The high rise in the population suffering from depression depicts the need for improved and highly effective treatment options for this condition. Efforts to develop existing drugs into user-friendly dosage forms with a number of advantages in major depressive states, including but not limited to: sustained drug release, reduced drug dosing frequency, improved tolerance and adherence, suitability for use in diverse populations and different treatment scenarios, as well as less central nervous system side effects are required. One such non-invasive drug delivery route that could provide the aforementioned benefits in the treatment of depression is the transdermal route. A number of conventional and emerging transdermal delivery strategies have been investigated for some potent antidepressants and results depict the potential of this route as a viable means for systemic delivery of therapeutically relevant doses of the tested agents, with Emsam®, the commercially available patch of selegiline, being an evidence for the same. The investigated approaches include the formulation of transdermal patches, use of vesicular drug carriers, pro-drug approach, microemulsification, chemical as well as physical enhancement technologies. This review provides a comprehensive account of the rationale, developments made till date, scope and future prospects of delivering antidepressants via the transdermal1 route of administration.

Parental Depression and Contextual Selection: The Case of School Choice

Parental depression constricts children's development, but the mechanisms implicated-beyond daily parenting tactics-remain unknown. Today, parents must evaluate and select environmental contexts for child-rearing within increasingly complex residential and educational markets. Depression may hamper parents' abilities to navigate this terrain, constraining information collection and impairing child-oriented decision-making. In turn, depressed parents' children may lack access to developmentally enriching neighborhood, school, and child care settings. K-12 school sorting offers a strategic case to assess these expectations, given proliferating nontraditional options and school quality data. Analyses using the Los Angeles Family and Neighborhood Survey (N = 2,754) linked to administrative data suggest that depressed parents' children attend magnet, charter, or private schools at lower rates than similarly situated children of nondepressed parents; depression-based disparities appear largest among Latino and Black families. The study motivates future research examining whether the depression-contextual selection link mediates intergenerational processes and exacerbates segregation.

Having versus not having social interactions in patients diagnosed with depression or social phobia and controls

Humans need meaningful social interactions, but little is known about the consequences of not having them. We examined meaningful social interactions and the lack thereof in patients diagnosed with major depressive disorder (MDD) or social phobia (SP) and compared them to a control group (CG). Using event-sampling methodology, we sampled participants’ everyday social behavior 6 times per day for 1 week in participants’ natural environment. We investigated the quality and the proportion of meaningful social interactions (when they had meaningful social interactions) and degree of wishing for and avoidance of meaningful social interactions (when they did not have meaningful social interactions). Groups differed on the quality and avoidance of meaningful social interactions: Participants with MDD and SP reported perceiving their meaningful social interactions as lower quality (in terms of subjective meaningfulness) than the CG, with SP patients reporting even lower quality than the MDD patients. Further, both MDD and SP patients reported avoiding meaningful social interactions significantly more often than the CG. Although the proportion of meaningful social interactions was similar in all groups, the subjective quality of meaningful social interactions was perceived to be lower in MDD and SP patients. Future research might further identify what variables influenced the reinforcement of the MDD and SP patients so that they engaged in the same number of meaningful social interactions even though the quality of their meaningful social interactions was lower. Increasing awareness of what happens when patients do or do not have meaningful social interactions will help elucidate a potentially exacerbating or maintaining factor of the disorders.

The efficacy and acceptability of curcumin for the treatment of depression or depressive symptoms: A systematic review and meta-analysis

INTRODUCTION

Curcumin, a potential natural substance is a promising complementary and alternative therapeutic intervention for depression or depressive symptoms. We undertook a systematic review and meta-analysis to evaluate the efficacy and acceptability.

METHODS

PubMed, EMBASE, PsycInfo, Web of Science, Cochrane Library and ClinicalTrials.gov were searched from the inception up until March 4, 2020. The Outcomes were depressive symptoms, response rates, drop-out rates, and adverse effects.

RESULTS

A total of 594 patients from ten trials were subjected to meta-analysis. Three trials were judged to be at high risk of bias, four at unclear risk of bias and three at low risk of bias. Most of the domains for risk of bias were at low risk or unclear risks and three domains at high risks. The pooling results suggested a significant difference in depression or depressive symptoms(SMD= -0.32, 95% CI: -0.50 to -0.13, I²=15%, n=594) and response rates (OR=3.20, 95% CI: 1.28-7.99, I²=35%, n=271). However, there was no difference between drop-out rates (OR=1.06, 95% CI: 0.58-1.93, I²=0%, n=594), digestive symptoms (OR=1.27, 95% CI: 0.69-2.32, I²=0%, n=284) and neurological symptoms (OR=1.08, 95% CI: 0.49-2.36, I²=0%, n=284). Subgroup analysis showed depression was associated with a reduction(SMD= -0.35, 95% CI: -0.56 to -0.15, I²=7%, n=432) but depressive symptoms were not (SMD= -0.17, 95% CI: -0.61 to 0.26, I²=40%, n=162).

CONCLUSIONS

The evidence quality is low, indicating that there is great uncertainty about the efficacy and acceptability of curcumin for the treatment of depression or depressive symptoms.

Impact of COVID-19 pandemic on mental health: An international study

BACKGROUND

The COVID-19 pandemic triggered vast governmental lockdowns. The impact of these lockdowns on mental health is inadequately understood. On the one hand such drastic changes in daily routines could be detrimental to mental health. On the other hand, it might not be experienced negatively, especially because the entire population was affected.

METHODS

The aim of this study was to determine mental health outcomes during pandemic induced lockdowns and to examine known predictors of mental health outcomes. We therefore surveyed n = 9,565 people from 78 countries and 18 languages. Outcomes assessed were stress, depression, affect, and wellbeing. Predictors included country, sociodemographic factors, lockdown characteristics, social factors, and psychological factors.

RESULTS

Results indicated that on average about 10% of the sample was languishing from low levels of mental health and about 50% had only moderate mental health. Importantly, three consistent predictors of mental health emerged: social support, education level, and psychologically flexible (vs. rigid) responding. Poorer outcomes were most strongly predicted by a worsening of finances and not having access to basic supplies.

CONCLUSIONS

These results suggest that on whole, respondents were moderately mentally healthy at the time of a population-wide lockdown. The highest level of mental health difficulties were found in approximately 10% of the population. Findings suggest that public health initiatives should target people without social support and those whose finances worsen as a result of the lockdown. Interventions that promote psychological flexibility may mitigate the impact of the pandemic.

Impact of COVID-19 pandemic on mental health: An international study

BACKGROUND

The COVID-19 pandemic triggered vast governmental lockdowns. The impact of these lockdowns on mental health is inadequately understood. On the one hand such drastic changes in daily routines could be detrimental to mental health. On the other hand, it might not be experienced negatively, especially because the entire population was affected.

METHODS

The aim of this study was to determine mental health outcomes during pandemic induced lockdowns and to examine known predictors of mental health outcomes. We therefore surveyed n = 9,565 people from 78 countries and 18 languages. Outcomes assessed were stress, depression, affect, and wellbeing. Predictors included country, sociodemographic factors, lockdown characteristics, social factors, and psychological factors.

RESULTS

Results indicated that on average about 10% of the sample was languishing from low levels of mental health and about 50% had only moderate mental health. Importantly, three consistent predictors of mental health emerged: social support, education level, and psychologically flexible (vs. rigid) responding. Poorer outcomes were most strongly predicted by a worsening of finances and not having access to basic supplies.

CONCLUSIONS

These results suggest that on whole, respondents were moderately mentally healthy at the time of a population-wide lockdown. The highest level of mental health difficulties were found in approximately 10% of the population. Findings suggest that public health initiatives should target people without social support and those whose finances worsen as a result of the lockdown. Interventions that promote psychological flexibility may mitigate the impact of the pandemic.

The dysregulation of the hypothalamic-pituitary-adrenal axis in diet-induced prediabetic male Sprague Dawley rats

BACKGROUND

Altered function of the hypothalamic-pituitary-adrenal (HPA) axis in type 2 diabetic patients, a condition preceded by pre-diabetes, has been shown to increase the risk of depression as well as cause downstream effects resulting in upregulation of gluconeogenesis and dyslipidemia. In addition, stress, either psychological from managing diabetes or lifestyle related, further activates the HPA axis causing an exaggerated stress response. This study investigated the activity of the HPA axis in selected markers of glucose handling, and the stress response relative to components of the HPA axis in a diet-induced pre-diabetic rat model.

METHODS

Sprague Dawley Rats were randomly divided into non-pre-diabetic group (NPD) and pre-diabetic group (PD) (n = 6, per group) over a 20-week induction period and a further 12-week experimental period to get 32 weeks. At the end of the 20 and 32-week periods, glucose handling using the Homeostasis Model Assessment indices, adrenocorticotropic (ACTH) and corticosterone (CORT) concentrations were measured. Stress was induced and the forced swim test were performed in the 12-week experimental week. At the end of 32 weeks glucocorticoid and mineralocorticoid hippocampal receptors were also measured.

RESULTS

Impaired glucose handling in the PD group as well as increase in corticosterone was observed at the end of both 20 and 32-week periods by comparison to NPD groups. No changes were observed in ACTH concentration at week 20 while, at week 32, a decrease in plasma ACTH concentration was observed in the PD group by comparison to the NPD group. The stressed-induced animals were stressed using the forced swim test: the behaviour observed showed an increase in immobility time in the PD stressed group by comparison to the NPD group. This was followed by the observation of a decrease in ACTH and CORT concentration in the PD stressed group by comparison to the NPD stressed group. Mineralocorticoid and glucocorticoid receptors gene expression were elevated in the stressed PD group relative to the stressed NPD group.

CONCLUSION

These observations, together, suggest that diet-induced pre-diabetes is associated with impaired HPA axis activity and deteriorating response to stress.

The prevalence and associated factors of depression among medical students of Saudi Arabia: A systematic review

The main purpose of our review study was to estimate depression prevalence among Saudi Arabian medical students according to the published articles and try to reveal the main associated factors. A systematic search was performed through PubMed/Medline and Google Scholar databases. A review of 18 studies published between January 2010 and March 2019 was composed of the following selection of necessary articles approved by PICO (population, intervention, control, and outcomes) criteria. The prevalence of depression among medical students of Saudi Arabia ranged from 30.9% to 77.6% with a mean prevalence of 51.5%. Depression severity was evaluated by various questionnaires, so we summarized the extracted data and revealed that medical students tend to have moderate to severe depression to a greater extent than mild depressive symptoms (33.27% vs 29.9%). The findings of this review suggest a high incidence of depression among medical students and the influence of associate sociodemographic factors. Females are considered to be at a higher risk of depression. First-year medical students are the most susceptible to develop depressive symptoms. Smoking is strongly associated with depression severity. Marital status, eating habits, usage of stimulants, and sleep disturbances are within significant findings of our review study.

The Relevance of Operant Behavior in Conceptualizing the Psychological Well-Being of Captive Animals

The term "psychological well-being" is used in reference to husbandry with animals in human care settings such as research, agriculture, and zoos. This article seeks to clarify and conceptualize the term based upon two approaches that draw from several bodies of literature: the experimental analysis of behavior, experimental psychology, animal welfare and husbandry, farm animal behavior, zoo husbandry, and ethology. One approach focuses on the presence of problem behavior such as stereotypies, depressive-like behavior, and aggression, and emphasizes the conditions under which aberrant behavior in animals under human care occurs. The second approach examines what might be considered wellness by emphasizing opportunities to engage with its environment, or the absence of such opportunities, even if problematic behavior is not exhibited. Here, access to an interactive environment is relatively limited so opportunities for operant (voluntary) behavior could be considered. Designing for operant behavior provides opportunities for variability in both behavior and outcomes. Operant behavior also provides control over the environment, a characteristic that has been a core assumption of well-being. The importance of interactions with one's environment is especially evident in observations that animals prefer opportunities to work for items necessary for sustenance, such as food, over having them delivered freely. These considerations raise the importance of operant behavior to psychological well-being, especially as benefits to animals under human care.

Efficacy of trial-based cognitive therapy, behavioral activation and treatment as usual in the treatment of major depressive disorder: preliminary findings from a randomized clinical trial

INTRODUCTION

Major depressive disorder (MDD) is a prevalent, debilitating and disabling disorder, and its prevalence is increasing. Antidepressants (AD), cognitive-behavioral therapy (CBT) and behavioral activation (BA) are the main treatments for MDD. Trial-based cognitive therapy (TBCT) addresses and restructures dysfunctional negative core beliefs (CBs) and is a novel and promising approach.

OBJECTIVE

The aim of this study was to compare the efficacy of TBCT, BA and treatment as usual (TAU) in the treatment of MDD.

METHODS

A total of 76 patients with MDD were randomized into 1 of 3 groups and evaluated at baseline, after 6 weeks and at week 12 (final evaluation). The primary outcome was changing in HAM-D scores, and the secondary outcomes included scores on the BDI, CD-Quest, Sheehan Disability Scale (SDS) and WHOQOL.

RESULTS

Both TBCT and BA (which also included AD) were different from TAU (which included antidepressants alone) in reducing the HAM-D and BDI scores and other measures. TBCT and BA were different from TAU in the reduction of disability in SDS and WHOQOL physical domain scores. Besides limited by a small sample size, the dropout rate in the TAU arm was higher, and only 10 patients completed the 3 evaluations.

CONCLUSION

This trial provides evidence that TBCT and BA combined with antidepressants were more efficacious than the TAU (drug alone) in reducing the severity of depressive symptoms and disability, showing that this combination can be useful for clinical practice.

Effect of depression on health behavior among myocardial infarction survivors in the United States

Introduction

The purpose of this study was to evaluate the effect of depression on health behavior among myocardial infarction (MI) survivors.

Methods

This retrospective, cross-sectional study used publicly available 2015 Behavioral Risk Factor Surveillance System (BRFSS) data. Our study sample includes adults aged 50 years or older who completed the 2015 BRFSS survey and reported having MI. The BRFSS participants with a yes response to the question, Has a doctor, nurse, or other health care professional ever told you that you had a heart attack, also called a myocardial infarction? were identified as MI survivors. The presence or absence of depression among MI survivors was identified using a similar question. Health behaviors, the dependent variable of this study, included physical activity, smoking status, alcohol use, body mass index, last flu immunization, last physical checkup, last blood cholesterol check, heavy drinking, and vegetable and fruit consumption. Univariate (χ² tests) and multivariable (binomial logistic regression) analyses were used to assess the differences in health behaviors between MI survivors with or without depression.

Results

Our final study sample consists of 20 483 older adults with MI among whom 5343 (26.19%) reported having depression. Multivariable analyses reveal MI survivors with depression are more overweight, have less physical activity, and have higher likelihood of smoking but less odds of consuming alcohol compared to MI survivors without depression.

Discussion

In this nationally representative sample of adults aged over 50 years in the United States, MI survivors with depression exhibited poorer health behaviors compared to those without depression.

Association Between Treatment Seeking and Personal Knowledge of Others With Emotional or Mental Problems

OBJECTIVE

The aim of this study was to examine whether people who screened positive for depression were more likely to have sought treatment if they had personal knowledge of other individuals with emotional or mental problems or of individuals who have sought treatment for them.

METHODS

Participants who screened positive for current major depression (N=239) via an Internet-based depression screening study completed an online survey about seeking treatment for depression.

RESULTS

After the authors controlled for social support, stigma, and demographic variables, analyses showed that individuals who personally knew someone with emotional or mental problems either within or outside of their family were more likely to themselves have sought treatment for depression. The same was true for those who personally knew someone-again either within or outside of their family-who had sought treatment for emotional or mental problems.

CONCLUSIONS

Personal knowledge of others with emotional problems or who had sought treatment for them may play a role in decisions about one's own treatment.