Awareness, diagnosis, and treatment of depression

Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement

Speech signals are valuable biomarkers for assessing an individual's mental health, including identifying Major Depressive Disorder (MDD) automatically. A frequently used approach in this regard is to employ features related to speaker identity, such as speaker-embeddings. However, over-reliance on speaker identity features in mental health screening systems can compromise patient privacy. Moreover, some aspects of speaker identity may not be relevant for depression detection and could serve as a bias factor that hampers system performance. To overcome these limitations, we propose disentangling speaker-identity information from depression-related information. Specifically, we present four distinct disentanglement methods to achieve this - adversarial speaker identification (SID)-loss maximization (ADV), SID-loss equalization with variance (LEV), SID-loss equalization using Cross-Entropy (LECE) and SID-loss equalization using KL divergence (LEKLD). Our experiments, which incorporated diverse input features and model architectures, have yielded improved F1 scores for MDD detection and voice-privacy attributes, as quantified by Gain in Voice Distinctiveness G V   D and De-Identification Scores (DeID). On the DAIC-WOZ dataset (English), LECE using ComparE16 features results in the best F1-Scores of 80% which represents the audio-only SOTA depression detection F1-Score along with a G V   D of -1.1 dB and a DeID of 85%. On the EATD dataset (Mandarin), ADV using raw-audio signal achieves an F1-Score of 72.38% surpassing multi-modal SOTA along with a G V   D of -0.89 dB dB and a DeID of 51.21%. By reducing the dependence on speaker-identity-related features, our method offers a promising direction for speech-based depression detection that preserves patient privacy.

Unraveling the Role of the Blood-Brain Barrier in the Pathophysiology of Depression: Recent Advances and Future Perspectives

Depression is a highly prevalent psychological disorder characterized by persistent dysphoria, psychomotor retardation, insomnia, anhedonia, suicidal ideation, and a remarkable decrease in overall well-being. Despite the prevalence of accessible antidepressant therapies, many individuals do not achieve substantial improvement. Understanding the multifactorial pathophysiology and the heterogeneous nature of the disorder could lead the way toward better outcomes. Recent findings have elucidated the substantial impact of compromised blood-brain barrier (BBB) integrity on the manifestation of depression. BBB functions as an indispensable defense mechanism, tightly overseeing the transport of molecules from the periphery to preserve the integrity of the brain parenchyma. The dysfunction of the BBB has been implicated in a multitude of neurological disorders, and its disruption and consequent brain alterations could potentially serve as important factors in the pathogenesis and progression of depression. In this review, we extensively examine the pathophysiological relevance of the BBB and delve into the specific modifications of its components that underlie the complexities of depression. A particular focus has been placed on examining the effects of peripheral inflammation on the BBB in depression and elucidating the intricate interactions between the gut, BBB, and brain. Furthermore, this review encompasses significant updates on the assessment of BBB integrity and permeability, providing a comprehensive overview of the topic. Finally, we outline the therapeutic relevance and strategies based on BBB in depression, including COVID-19-associated BBB disruption and neuropsychiatric implications. Understanding the comprehensive pathogenic cascade of depression is crucial for shaping the trajectory of future research endeavors.

Pathways to care and barriers in treatment among patients with Dissociative disorders

INTRODUCTION

Dissociative disorder patients often present with sudden and embarrassing symptoms, and it is difficult for the patient and care giver to understand initially, recognize the need for help and reach for appropriate treatment timely. This can result in high risk of engaging in dangerous behaviors such as self-harm and suicidal acts, impaired global functioning, and poor quality of life. Knowledge about the types of barriers which are there in treatment seeking, can help in planning strategies for their removal and to facilitate the treatment process.

METHODS

Cross-sectional study among patients (n=133) with Dissociative disorders which were recruited from January 2023 to June 2023 in a tertiary care hospital. Pathways to care and barriers in treatment for Dissociative disorders were assessed by interviewing patients using semi-structured proforma. The Dissociative Experience Scale and World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0)) were used to assess disease severity and impact of illness on various domains of life respectively. Group comparison was made to assess differences in social- clinical profile of patients choosing different modalities of treatment.

RESULTS

133 patients of Dissociative disorders with mean age 29.6±9.2, showed their first-choice of help seeking from general practitioner/ neurologist (40.6%), traditional faith healers (35.3%), psychiatrist (18.1%) and 5.2% preferred alternative treatments. This trend changed with 2nd and 3rd contact of help seeking with greater preference for psychiatrist in their 2nd (n=45, 33.8%) and 3rd (n=69, 51.8%) contact. The median duration of untreated illness was 56 weeks (IQR 24-182 weeks). Social-clinical profile of patients varied with their choice of treatment, having lower education level (P = 0.013), longer duration of untreated illness (p=0.003), more severity of symptoms (p=0.032) and greater disability scores(p=0.002) in patients whose first treatment choice was traditional faith healers. More than 70% patients faced availability barriers, stigma, unawareness about mental illness and influence of others in treatment of choice as barriers in initiating and continuing treatment.

CONCLUSION

Patients with Dissociative disorders seek treatment from a multitude of healthcare providers including traditional faith healers, general physicians, and alternative medicine practitioners before reaching psychiatrist and undergoes various barriers in treatment. There is need to implement necessary measures for sensitization and awareness about Dissociative disorders to prevent prolonged and undue delays in initiation of appropriate management.

Anti-stigmatizing: a collaborative autoethnography on recovery from depression

Introduction

Despite extensive research on clinical treatments for depression, there remains a significant gap in understanding of the lived experiences and recovery journeys of those with depression. This study sought to explore the recovery process through an "anti-stigmatizing" lens, emphasizing the cultural-psychological mechanisms at play and the importance of personal narratives in shaping the recovery trajectory.

Methods

Using a collaborative autoethnographic approach, this report focuses on the first author's journey of depression recovery. This research methodology allows for an in-depth exploration of subjective experiences, with a specific emphasis on the interaction between societal stigma, personal identity, and mental-health challenges.

Results

It is found that the depression-recovery experience can be divided into four stages from an anti-stigma perspective: (1) encountering the public stigma of emotions; (2) internalizing the stigma to a self-stigma; (3) "decriminalizing" the expected stigma of a "depressed" identity through diagnosis; and (4) being able to cope with and understanding the public stigma relating to depression when facing it again. Key factors that were found to contribute to recovery were self-awareness, community empowerment, and recognition and acceptance by close friends and family.

Discussion

We propose a reconceptualization of depression that incorporates a societal perspective on internalized stigma. Recovery from depression is not merely a medical process; it also pertains to how the patient frees themselves from public stigma. The results strongly indicate the need for a paradigm shift toward a more inclusive and empathetic approach to mental-health care, and we emphasize the importance of personal narratives in depression recovery.

Line Managers' Perspectives and Responses when Employees Burn Out

PURPOSE

Little is known about whether burnout can be stopped at an emerging stage. To develop this knowledge, we focus on line managers' perspectives and responses when an employee who seems to be heading for burnout is still at work.

METHODS

We interviewed 17 line managers working in the educational and health care sectors, who had been confronted with the sickness absence of at least one employee due to burnout in the past. Interviews were transcribed, coded, and analyzed thematically.

RESULTS

During the period that the employee seemed to be developing burnout while still at work, line managers experienced three different, successive phases: picking up signals, role-taking, and re-evaluation. Line managers' personal frame of reference (e.g., having experience with burnout) seemed to influence whether and how they picked up signals of burnout. Line managers not picking up signals, did not take any action. When picking up the signals, the managers however generally took an active role: they started a conversation, changed work tasks, and - at a later stage - adapted the employee's job description, sometimes without consulting the employee. The managers felt powerless yet learned from the experience when subsequently re-evaluating the period during which employees developed symptoms of burnout. These re-evaluations resulted in an adapted personal frame of reference.

CONCLUSION

This study shows that improving line managers' frame of reference, e.g., by organizing meetings and/or training, may help them to detect early signals of burnout and take action. This is a first step to prevent the further development of early burnout symptoms.

A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech

The proposed method focuses on speaker disentanglement in the context of depression detection from speech signals. Previous approaches require patient/speaker labels, encounter instability due to loss maximization, and introduce unnecessary parameters for adversarial domain prediction. In contrast, the proposed unsupervised approach reduces cosine similarity between latent spaces of depression and pre-trained speaker classification models. This method outperforms baseline models, matches or exceeds adversarial methods in performance, and does so without relying on speaker labels or introducing additional model parameters, leading to a reduction in model complexity. The higher the speaker de-identification score (DeID), the better the depression detection system is in masking a patient's identity thereby enhancing the privacy attributes of depression detection systems. On the DAIC-WOZ dataset with ComparE16 features and an LSTM-only model, our method achieves an F1-Score of 0.776 and a DeID score of 92.87%, outperforming its adversarial counterpart which has an F1Score of 0.762 and 68.37% DeID, respectively. Furthermore, we demonstrate that speaker-disentanglement methods are complementary to text-based approaches, and a score-level fusion with a Word2vec-based depression detection model further enhances the overall performance to an F1-Score of 0.830.

Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches

As mental health (MH) disorders become increasingly prevalent, their multifaceted symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing a risk of underdiagnosis. While machine learning (ML) has been explored to mitigate these challenges, we hypothesized that multiple data modalities support more comprehensive detection and that non-intrusive collection approaches better capture natural behaviors. To understand the current trends, we systematically reviewed 184 studies to assess feature extraction, feature fusion, and ML methodologies applied to detect MH disorders from passively sensed multimodal data, including audio and video recordings, social media, smartphones, and wearable devices. Our findings revealed varying correlations of modality-specific features in individualized contexts, potentially influenced by demographics and personalities. We also observed the growing adoption of neural network architectures for model-level fusion and as ML algorithms, which have demonstrated promising efficacy in handling high-dimensional features while modeling within and cross-modality relationships. This work provides future researchers with a clear taxonomy of methodological approaches to multimodal detection of MH disorders to inspire future methodological advancements. The comprehensive analysis also guides and supports future researchers in making informed decisions to select an optimal data source that aligns with specific use cases based on the MH disorder of interest.

Multimorbidity and acute infectious diseases in urban and semi-urban settings in Peru: A mixed-methods study

Background

The co-occurrence of chronic diseases and acute infectious events exacerbates disability and diminishes quality of life, yet research in Low- and Middle-Income countries is scarce. We aimed to investigate the relationship between infectious events and multimorbidity in resource-constrained settings.

Methods

We conducted a sequential mixed-method study in Lima and Tumbes, Peru, with participants having multimorbidity from the CRONICAS Cohort Study. They completed a questionnaire on the occurrence, treatment, and health-seeking behaviour related to acute infectious events. Qualitative interviews explored the perceptions and links between multimorbidity and acute infectious events for a subgroup of participants.

Findings

Among individuals with multimorbidity, low awareness of chronic conditions and poor medication adherence. The cumulative incidence for respiratory and gastrointestinal infections, the most reported acute conditions, was 2.0 [95%CI: 1.8-2.2] and 1.6 [1.2-1.9] events per person per year, respectively. Individuals with cancer (6.4 [1.6-11.2] events per person per year) or gastrointestinal reflux (7.2 [4.4-10.1] events per person per year) reported higher cumulative incidence of infectious events than others, such as those with cardiovascular and metabolic conditions (5.2 [4.6-5.8] events per person per year). Those with three or more chronic conditions had a slightly higher cumulative incidence compared with individuals with two conditions (5.7 [4.4-7.0] vs 5.0 [4.4-5.6] events per person per year). Around 40% of individuals with multimorbidity sought healthcare assistance, while others chose drugstores or didn't seek help. Our qualitative analysis showed diverse perceptions among participants regarding the connections between chronic and acute conditions. Those who recognized a connection emphasized the challenges in managing these interactions.

Interpretation

Our study advances understanding of multimorbidity challenges in resource-limited settings, highlighting the impact of acute infections on patients' existing multimorbidity burden.

Emotion-dependent language featuring depression

BACKGROUND AND OBJECTIVES

Understanding language features of depression contributes to the detection of the disorder. Considering that depression is characterized by dysfunctions in emotion and individuals with depression often show emotion-dependent cognition, the present study investigated the speech features and word use of emotion-dependent narrations in patients with depression.

METHODS

Forty depression patients and forty controls were required to narrate self-relevant memories under five basic human emotions (i.e., sad, angry, fearful, neutral, and happy). Recorded speech and transcribed texts were analyzed.

RESULTS

Patients with depression, as compared to non-depressed individuals, talked slower and less. They also performed differently in using negative emotion, work, family, sex, biology, health, and assent words regardless of emotion manipulation. Moreover, the use of words such as first person singular pronoun, past tense, causation, achievement, family, death, psychology, impersonal pronoun, quantifier and preposition words displayed emotion-dependent differences between groups. With the involvement of emotion, linguistic indicators associated with depressive symptoms were identified and explained 71.6% variances of depression severity.

LIMITATIONS

Word use was analyzed based on the dictionary which does not cover all the words spoken in the memory task, resulting in text data loss. Besides, a relatively small number of depression patients were included in the present study and therefore the results need confirmation in future research using big emotion-dependent data of speech and texts.

CONCLUSIONS

Our findings suggest that consideration of different emotional contexts is an effective means to improve the accuracy of depression detection via the analysis of word use and speech features.

Breaking the vise of hopelessness: Targeting its components, antecedents, and context

Hopelessness is a painful cognitive state that is related to depression and suicide. Despite its importance, only unsystematic efforts have been made to specifically target hopelessness in interventions, and no comprehensive review is currently available to guide future clinical studies. In this narrative review, we first analyze the phenomenon of hopelessness, by highlighting its components (e.g., dismal expectations, blocked goal-directed processing, and helplessness), antecedents (e.g., inferential styles), and contextual factors (e.g., loneliness and reduced social support). Then, we review the currently available interventions and manipulations that target these mechanisms, either directly or indirectly, and we highlight both their strengths and lacunae. Finally, we propose possible avenues to improve our clinical toolbox for breaking the vise of hopelessness.

Development and usability evaluation of a mHealth application for albinism self-management

BACKGROUND

Reduced or absence of melanin poses physical, social, and psychological challenges to individuals with albinism. Mobile health (mHealth) applications have the potential to improve the accessibility of information and services while reducing time and costs. This study aimed to develop and evaluate a mHealth application for self-management of albinism.

METHODS

This applied study was conducted in two stages (development and evaluation) in 2022. Initially, the functional requirements were determined, and the conceptual model of the application was then developed using Microsoft Visio 2021. In the second phase, the application was evaluated using the Mobile Application Usability Questionnaire (MAUQ) involving patients with albinism to reflect their views on the usability of the application.

RESULTS

The key capabilities of the application included: reminders, alerts, educational content, useful links, storage and exchange of images of skin lesions, specialist finder, and notifications for albinism-relevant events. Twenty-one users with albinism participated in the usability testing of the application. The users were predominantly satisfied with the application (5.53 ± 1.10; Max: 7.00).

CONCLUSIONS

The findings of this study suggest that the developed mobile application could assist individuals with albinism to effectively manage their condition by considering the users' requirements and services that the application should deliver.

Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset

Depression is a disorder that if not treated can hamper the quality of life. EEG has shown great promise in detecting depressed individuals from depression control individuals. It overcomes the limitations of traditional questionnaire-based methods. In this study, a machine learning-based method for detecting depression among young adults using EEG data recorded by the wireless headset is proposed. For this reason, EEG data has been recorded using an Emotiv Epoc+ headset. A total of 32 young adults participated and the PHQ9 screening tool was used to identify depressed participants. Features such as skewness, kurtosis, variance, Hjorth parameters, Shannon entropy, and Log energy entropy from 1 to 5 sec data filtered at different band frequencies were applied to KNN and SVM classifiers with different kernels. At AB band (8-30 Hz) frequency, 98.43 ± 0.15% accuracy was achieved by extracting Hjorth parameters, Shannon entropy, and Log energy entropy from 5 sec samples with a 5-fold CV using a KNN classifier. And with the same features and classifier overall accuracy = 98.10 ± 0.11, NPV = 0.977, precision = 0.984, sensitivity = 0.984, specificity = 0.976, and F1 score = 0.984 was achieved after splitting the data to 70/30 ratio for training and testing with 5-fold CV. From the findings, it can be concluded that EEG data from an Emotiv headset can be used to detect depression with the proposed method.

Predictors of time to first symptomatic recovery of major depressive disordered patients: a case study at Jimma University Medical Center

BACKGROUND

Major Depressive Disorder is one of the most common mental disorders, and it is the main cause of disability worldwide with a prevalence ranging from 7 to 21%.

OBJECTIVE

The goal of this study was to predict the time it took for patients with severe depressive disorders at Jimma University Medical Center to experience their initial symptomatic recovery.

STUDY DESIGN

The researchers utilized a prospective study design.

METHODS

Patients with major depressive disorder were followed up on at Jimma University Medical Center from September 2018 to August 2020 for this study. The Gamma and Inverse Gaussian frailty distributions were employed with Weibull, Log-logistic, and Log-normal as baseline hazard functions. Akaike Information Criteria were used to choose the best model for describing the data.

RESULTS

This study comprised 366 patients, with 54.1% of them experiencing their first symptomatic recovery from a severe depressive disorder. The median time from the onset of symptoms to symptomatic recovery was 7 months. In the study area, there was a clustering effect in terms of time to first symptomatic recovery from major depressive disorder. According to the Log-normal Inverse-Gaussian frailty model, marital status, chewing khat, educational status, work status, substance addiction, and other co-variables were significant predictors of major depressive disorder (p-value < 0.05).

CONCLUSION

The best model for describing the time to the first symptomatic recovery of major depressive disorder is the log-normal Inverse-Gaussian frailty model. Being educated and working considerably were the variables that reduces the time to first symptomatic recovery from major depressive disorder; whereas being divorced, chewing khat, substance abused and other co-factors were the variables that significantly extends the time to first symptomatic recovery.

Antidepressant Effect of Crocin in Mice with Chronic Mild Stress

This study aimed to investigate the antidepressant property of crocin (Crocetin digentiobiose ester) using a chronic mild stress (CMS)-induced depression model in experimental mice. The tail suspension test (TST) and the sucrose preference test were used to evaluate the antidepressant effect on albino mice of either sex after three weeks of CMS. The period of immobility in the TST and percentage preference for sucrose solution were recorded. By monitoring brain malondialdehyde (MDA) level, catalase (CAT) activity, and reduced glutathione (GSH) level, the antioxidant potential was assessed. Three dosages of crocin (4.84, 9.69, and 19.38 mg/kg) were evaluated. When compared to controls, animals that received crocin administration during three periods of CMS had considerably shorter immobility times during the TST. Crocin treatment also raised the percentage preference for sucrose solution in a dose-dependent manner, bringing it to parity with the conventional antidepressant, imipramine. Animals that received a high dose of crocin had a much greater spontaneous locomotor activity. Furthermore, a high dose of crocin remarkably lowered plasma corticosterone and nitrite levels brought on by CMS. Additionally, high doses of crocin given during CMS greatly enhanced reduced glutathione levels while considerably reducing the brain’s MDA and catalase activities. In conclusion, high doses of crocin may have an antidepressant effect in an animal model through several mechanisms. However, further studies should be carried out to explore the role of neurotransmitters for their antidepressant property.

Moving beyond referrals to strengthen late-life depression care: a qualitative examination of primary care clinic and community-based organization partnerships

BACKGROUND

National guidelines have called for greater integration of primary care and behavioral health services, with more recent attention to social care and community-based services. Under growing resource constraints healthcare organizations have tended to rely on referrals to external entities to address social care needs. Traditional referral models, however, may not be equipped to provide for the complex needs of older adults with depression. The Care Partners Project was designed to strengthen late-life depression care through integrated partnerships between primary care clinics and community-based organizations. We sought to understand how these integrated partnerships, with shared tasks and accountability across organizations, changed the nature of depression care for older adults.

METHODS

We conducted 65 in-depth, semi-structured interviews and six focus groups with service providers involved in the project, including care managers, primary care providers, and psychiatric consultants, and applied inductive and deductive qualitative thematic analysis to develop themes around participants' experiences with the partnered initiative.

RESULTS

We found the partnerships established by the Care Partners Project reshaped late-life depression care in two ways: (1) bidirectional communication across organizations facilitated greater recognition among providers of intersecting medical and social needs associated with late-life depression; and (2) depression care became more coordinated and effective as care teams established or strengthened relationships across organizations.

CONCLUSIONS

These findings highlight the ways cross-organizational health and social care partnerships that move beyond traditional referrals can strengthen late-life depression care and enhance organizational capacities.

Specialized Biopsychosocial Care in Inpatient Somatic Medicine Units-A Pilot Study

Introduction

Specialized biopsychosocial care concepts are necessary to overcome the dualism between physical and psychosocial treatment in acute care hospitals. For patients with complex and chronic comorbid physical and mental health problems, neither standardized psychiatric/psychosomatic nor somatic care units alone are appropriate to their needs. The “Nuremberg Integrated Psychosomatic Acute Unit” (NIPA) has been developed to integrate treatment of both, psychosocial and physical impairments, in an acute somatic care setting.

Method

NIPA has been established in inpatient internal medical wards for respiratory medicine, oncology and gastroenterology. One to two patients per ward are regularly enrolled in the NIPA treatment while remaining in the same inpatient bed after completion of the somatic care. In a naturalistic study design, we evaluated treatment effects by assessment of symptom load at admission and at discharge using the Patient Health Questionnaire (PHQ) and the Generalized Anxiety Disorder Scale-7 (GAD-7). Furthermore, we assessed the severity of morbidity using diagnosis data during treatment. At discharge, we measured satisfaction with treatment through the Patient Satisfaction Questionnaire (ZUF-8).

Results

Data from 41 NIPA patients were analyzed (18–87 years, 76% female). Seventy-eight percent suffered from at least moderate depression and 49% from anxiety disorders. Other diagnoses were somatoform pain disorder, somatoform autonomic dysfunction, eating disorder and posttraumatic stress disorder. Hypertension, chronic lung diseases and musculoskeletal disorders as well as chronic oncological and cardiac diseases were the most common somatic comorbidities. Treatment resulted in a significant reduction of depressive mood (admission: M = 10.9, SD = 6.1, discharge: M = 7.6, SD = 5.3, d = 0.58, p = 0.001), anxiety (admission: M = 10.6, SD = 4.9, discharge: M = 7.3, SD = 4.1, d = 0.65, p< 0.001) and stress (admission: M = 6.0, SD = 3.6, discharge: M = 4.1, SD = 2.5, d = 0.70, p< 0.001). Somatic symptom burden was reduced by NIPA treatment (admission: M = 10.9, SD = 5.8, discharge: M = 9.6, SD = 5.5, d = 0.30), albeit not statistically significant (p = 0.073) ZUF-8 revealed that 89% reported large or full satisfaction and 11% partial dissatisfaction with treatment.

Discussion

NIPA acute care is bridging the gap for patients in need of psychosocial treatment with complex somatic comorbidity. Further long-term evaluation will show whether psychosocial NIPA care is able to reduce the course of physical illness and hospital costs by preventing hospitalization and short-term inpatient re-admissions.

Long-Term Potentiation-Like Visual Synaptic Plasticity Is Negatively Associated With Self-Reported Symptoms of Depression and Stress in Healthy Adults

Long-term potentiation (LTP) is one of the most extensively studied forms of neuroplasticity and is considered the strongest candidate mechanism for memory and learning. The use of event-related potentials and sensory stimulation paradigms has allowed for the translation from animal studies to non-invasive studies of LTP-like synaptic plasticity in humans. Accumulating evidence suggests that synaptic plasticity as measured by stimulus-specific response modulation is reduced in neuropsychiatric disorders such as major depressive disorder (MDD), bipolar disorders and schizophrenia, suggesting that impaired synaptic plasticity plays a part in the underlying pathophysiology of these disorders. This is in line with the neuroplasticity hypothesis of depression, which postulate that deficits in neuroplasticity might be a common pathway underlying depressive disorders. The current study aims to replicate and confirm earlier reports that visual stimulus-specific response modulation is a viable probe into LTP-like synaptic plasticity in a large sample of healthy adults (n = 111). Further, this study explores whether impairments in LTP-like synaptic plasticity is associated with self-reported subclinical depressive symptoms and stress in a healthy population. Consistent with prior research, the current study replicated and confirmed reports demonstrating significant modulation of visual evoked potentials (VEP) following visual high-frequency stimulation. Current results further indicate that reduced LTP-like synaptic plasticity is associated with higher levels of self-reported symptoms of depression and perceived stress. This indicate that LTP-like plasticity is sensitive to sub-clinical levels of psychological distress, and might represent a vulnerability marker for the development of depressive symptoms.

An Elevated FIB-4 Score Is Associated with an Increased Incidence of Depression among Outpatients in Germany

Background: Liver disease and depression are known to be closely associated. Non-invasive tests (NIT), such as the FIB-4 score, have been recommended by different guidelines to rule out advanced fibrosis and to stratify the risk of liver-related outcomes in patients with chronic liver diseases. However, the predictive value of an elevated FIB-4 score regarding the development of depression and/or anxiety disorders among the general population is unknown. Methods: By using the Disease Analyzer database (IQVIA), which compiles diagnoses and laboratory values as well as basic medical and demographic data of patients followed in general practices in Germany, we identified 370,756 patients with available lab values for FIB-4 score calculation between 2005 and 2019. Patients with an FIB-4 score < 2 were matched 1:1 to patients with an FIB-4 index ≥ 2 by age, sex and yearly consultation frequency. Results: In regression analysis, the incidence rate ratio (IRR) of depression was significantly higher among patients with an FIB-4 score ≥ 2.0 compared to patients with a lower FIB-4 score <2.0 (IRR: 1.12, p < 0.001). This association was significant for both female (IRR: 1.10, p = 0.004) and male (IRR: 1.15, p < 0.001) patients and strongest in the age groups ≤50 years (IRR: 1.42, p < 0.001) and 51-60 years (IRR: 1.34, p < 0.001). There was no significant association between an elevated FIB-4 score ≥ 2.0 and the incidence of depression among patients aged 60 years and older. There was no significant increase in the IRR of anxiety disorders for patients with high or low FIB-4 scores. Conclusion: Our study suggests a previously unknown association between an elevated FIB-4 score and an increased incidence of depression. This finding suggests that the FIB-4 score is not only a valuable tool for the prediction of liver-specific endpoints but also may be of relevance for the prediction of extrahepatic comorbidities, which in turn may argue for clinical screening programs in patients with an elevated FIB-4.

Measuring Brain Response to Transcutaneous Vagus Nerve Stimulation (tVNS) using Simultaneous Magnetoencephalography (MEG)

Objective: Transcutaneous vagus nerve stimulation (tVNS) is form of non-invasive brain stimulation that delivers a sequence of electrical pulses to the auricular branch of the vagus nerve, and is used increasingly in the treatment of a number of health conditions such as epilepsy and depression. Recent research has focused on the efficacy of tVNS to treat different medical conditions, but there is little conclusive evidence concerning the optimal stimulation parameters.There are relatively few studies that have combined tVNS with a neuroimaging modality, and none that have attempted simultaneous magnetoencephalography (MEG) and tVNS due to the presence of large stimulation artifacts produced by the electrical stimulation which are many orders of magnitude larger than underlying brain activity. Approach: The aim of this study is to investigate the utility of MEG to gain insight into the regions of the brain most strongly influenced by tVNS and how variation of the stimulation parameters can affect this response in healthy participants. Main Results: We have successfully demonstrated that MEG can be used to measure brain response to tVNS. We have also shown that varying the stimulation frequency can lead to a difference in brain response, with the brain also responding in different anatomical regions depending on the frequency. Significance: The main contribution of this paper is to demonstrate the feasibility of simultaneous pulsed tVNS and MEG recording, allowing direct investigation of the changes in brain activity that result from different stimulation parameters. This may lead to the development of customised therapeutic approaches for the targeted treatment of different conditions.

A Comparative Study on Safety and Efficacy of Desvenlafaxine Versus Sertraline in Depression

Background

Depression is one of the most predominant mental health issues that are prevalent now. Therefore, many clinical trials were being conducted to find the safest, most effective, and tolerable anti-depressant. This study aims to compare desvenlafaxine and sertraline regarding their safety and efficacy in treating depression.

Methodology

The patients who were diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria were included in the study and were divided into two groups. The severity of depression in these patients was evaluated using Beck Depression Inventory and Hamilton depression scale (HAM-D) before and after the treatment (four weeks).

Results

About 64% of the study sample were males, and 36% were females, with 77% of the patients in the desvenlafaxine group taking 100 mg dosage and about 74% patients taking 50 mg dosage in the sertraline group. The patients in both groups showed statistically significant (p < 0.00001) improvement after using these drugs.

Conclusion

Both desvenlafaxine and sertraline showed their efficacy in treating depression by improving the clinical outcome in patients. Sertraline was marginally better in clinical results. Finally, it is advisable to carry out more randomized trials to improve the patient’s quality of life.

Depression in psoriatic arthritis: Related to socio-demographics, comorbid loads or disease activity?

AIM

Psychological distress commonly occurs in patients with psoriatic arthritis (PsA). The primary objective of this study was to determine the prevalence of depression in PsA. The secondary objective was to explore its associated factors, including socio-demographics, disease activity data and comorbidities.

METHODS

Patients with PsA fulfilling the Classification Criteria for Psoriatic Arthritis were consecutively recruited from local rheumatology clinics. Depression was assessed by a self-administered Chinese-Cantonese version of the Hospital Anxiety and Depression Scale (HADS).

RESULTS

Two hundred and eight eligible patients with PsA were recruited, with 82 females and 126 males. Depression was found in 62 (29.8%) of them. The univariate model identified these associated factors: (1) Psoriasis Area and Severity Index score; (2) disease activity measurement, that is tender and swollen joint count, erythrocyte sedimentation rate, C-reactive protein, Disease Activity in Psoriatic Arthritis (DAPSA) score, Leeds Enthesitis Index and tender dactylitis count; (3) quality of life measurement, that is Health Assessment Questionnaire - Disability Index (HAQ-DI), pain and general health perception; (4) PsA duration; and (5) body mass index. The final regression model identified DAPSA and HAQ-DI were closely associated with depression, P = .007 and P = .02 respectively. Moderate and strong correlations with HADS score were found with DAPSA (Kendall's tau-b coefficient [τb] = 0.25) and HAQ-DI (τb = 0.4) respectively. No associations with depression were found between age, living and employment status, gender, demographics, inflammatory markers, disease duration, skin involvement and comorbidities, in term of Charlson's Comorbidity Index.

CONCLUSION

Depression was prevalent among PsA patients and it was closely correlated with disease activity and physical function impairment. Achieving low disease activity and maintaining physical function in patients with PsA may mitigate the psychological burden. The present study also highlighted the unmet needs of strategies to identify this common phenomenon.

Impacts of acupressure treatment on depression: A systematic review and meta-analysis

BACKGROUND

Depression is recognized as a major public health problem with a substantial impact on individuals and society. Complementary therapies such as acupressure may be considered a safe and cost-effective treatment for people with depression. An increasing body of research has been undertaken to assess the effectiveness of acupressure in various populations with depression, but the evidence thus far is inconclusive.

AIM

To examine the efficacy of acupressure on depression.

METHODS

A systematic literature search was performed on PubMed, PsycINFO, Scopus, Embase, MEDLINE, and China National Knowledge (CNKI). Randomized clinical trials (RCTs) or single-group trials in which acupressure was compared with control methods or baseline in people with depression were included. Data were synthesized using a random-effects or a fixed-effects model to analyze the impacts of acupressure treatment on depression and anxiety in people with depression. The primary outcome measures were set for depression symptoms. Subgroups were created, and meta-regression analyses were performed to explore which factors are relevant to the greater or lesser effects of treating symptoms.

RESULTS

A total of 14 RCTs (1439 participants) were identified. Analysis of the between-group showed that acupressure was effective in reducing depression [Standardized mean differences (SMDs) = -0.58, 95%CI: -0.85 to -0.32, P < 0.0001] and anxiety (SMD = -0.67, 95%CI: -0.99 to -0.36, P < 0.0001) in participants with mild-to-moderate primary and secondary depression. Subgroup analyses suggested that acupressure significantly reduced depressive symptoms compared with different controlled conditions and in participants with different ages, clinical conditions, and duration of intervention. Adverse events, including hypotension, dizziness, palpitation, and headache, were reported in one study.

CONCLUSION

The evidence of acupressure for mild-to-moderate depressive symptoms was significant. Importantly, the findings should be interpreted with caution due to study limitations. Future research with a well-designed mixed method is required to consolidate the conclusion and provide an in-depth understanding of potential mechanisms underlying the effects.

A tailored Internet-delivered modular intervention based on cognitive behavioral therapy for depressed older adults: a study protocol for a randomized controlled trial

Background

Depression is most common among the elderly and is associated with major impairment. With limited accessible treatments available, remotely provided interventions are needed. Internet-based interventions have been proven effective for a number of mental and somatic health problems. However, the elderly population has received relatively limited attention in previous studies. This study aims to address this gap by investigating the effectiveness of a tailored Internet-delivered modular intervention based on cognitive behavioral therapy (CBT).

Methods

A minimum of 60 participants will be recruited and randomly assigned to groups in a two-armed parallel controlled trial with a waiting list. The intervention group will have access to an 8-week therapist-supported modular intervention. The waiting list group will be instructed to wait for 8 weeks and then granted access to the intervention for 8 weeks. Pre, post, and 3-, 12-, and 24-month follow-up assessments are planned for measuring changes in depression symptoms, anxiety symptoms, and psychological well-being using PHQ-9, GDS, GAD-7, and WHO-5. Primary outcomes of all the participants will be analyzed using the intention-to-treat principle, and within- and between-group effect sizes will be calculated.

Discussion

Internet-based interventions could help address the existing treatment gap for depressed older adults. However, to date, the effectiveness of Internet-based CBT (ICBT) for depressed older adults has only been tested in a few studies. This trial will demonstrate if Internet-based CBT is effective for this population when compared to a waiting list control. Further analysis of secondary outcomes and participant behavior in the intervention will potentially reveal effectiveness moderating factors.

Trial registration

ClinicalTrials.gov NCT04728204. Registered on 15 January 2021. https://www.clinicaltrials.gov/ct2/show/NCT04728204?term=NCT04728204&draw=2&rank=1

Socioeconomic Factors Related to Prevalence, Severity, and Contact Coverage of Depression in Primary Health Care

Background

We determine factors related to the prevalence, severity, and contact coverage of depression using the Patient Health Questionnaire-9.

Methods

This cross-sectional study included 1059 individuals who applied to primary health care in Ankara before the onset of pandemic restrictions. Contact coverage was evaluated to include mental health care users.

Results

The prevalence of depression was 22.9%. Individuals who were unemployed (OR: 3.832; 95% CI: 2.053-7.151), women (OR: 1.646; 95% CI: 1.158-2.340), those without social support (OR: 1.933; 95% CI: 1.219-3.065), those who did not receive formal education (OR: 2.631; 95 % CI: 1.312-5.275), lower-income group (OR: 1.528; 95% CI: 1.071-2.180), and unmarried or divorced (OR: 2.644; 95% CI: 1.324-5.281) were found to be at risk of developing depression. Based on the linear regression model including patients diagnosed with depression, individuals who were unemployed (standardized β: 0.190), women (standardized β: 0.075), those without social support (standardized β: 0.096), and those who were unmarried or single (standardized β: 0.147) had the highest scale scores. Contact coverage for depression was 31.0%. Contact coverage was more likely in the upper-income group (OR: 2.239, 95% CI: 1.173-4.273).

Conclusion

Although depression is common among primary health care applicants, contact coverage is low. Developing screening programs for depression in primary health care may help improve community mental health. Socioeconomic factors that contribute to the emergence, severity, and contact coverage of depression indicate health inequalities. The development and severity of depression are mostly due to unemployment, which suggests the importance of employment-enhancing policies.

Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data

Major depressive disorder (MDD) is complex and multifactorial, posing a major challenge of tailoring the optimal medication for each patient. Current practice for MDD treatment mainly relies on trial and error, with an estimated 42-53% response rates for antidepressant use. Here, we sought to generate an accurate predictor of response to a panel of antidepressants and optimize treatment selection using a data-driven approach analyzing combinations of genetic, clinical, and demographic factors. We analyzed the response patterns of patients to three antidepressant medications in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, and employed state-of-the-art machine learning (ML) tools to generate a predictive algorithm. To validate our results, we assessed the algorithm's capacity to predict individualized antidepressant responses on a separate set of 530 patients in STAR*D, consisting of 271 patients in a validation set and 259 patients in the final test set. This assessment yielded an average balanced accuracy rate of 72.3% (SD 8.1) and 70.1% (SD 6.8) across the different medications in the validation and test set, respectively (p < 0.01 for all models). To further validate our design scheme, we obtained data from the Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) of patients treated with citalopram, and applied the algorithm's citalopram model. This external validation yielded highly similar results for STAR*D and PGRN-AMPS test sets, with a balanced accuracy of 60.5% and 61.3%, respectively (both p's < 0.01). These findings support the feasibility of using ML algorithms applied to large datasets with genetic, clinical, and demographic features to improve accuracy in antidepressant prescription.

Examining the Prevalence of Peripartum Depressive Symptoms in a Border Community

Introduction: Depression is one of the most common complications in pregnancy, affecting 10% to 20% of women. Untreated peripartum depression increases the risk of adverse life events, more considerable distress, homelessness, and illness later in life. This study explored the prevalence of peripartum depression and associated demographic characteristics in a population of low-income, Healthy Start program participants in one New Mexico county along the U.S.-Mexico border where knowledge of depression prevalence is lacking. Materials and Methods: Healthy Start caseworkers routinely administered the 10-item Edinburgh Postnatal Depression Scale (EPDS) to all pregnant and recently pregnant program participants between 2009 and 2017. Scores for the first prenatal screen, first postpartum screen, and all screens for 1453 women were studied. A score of >10 points out of a possible 30 indicated a positive screen. Screening outcome was examined in relation to age, race, ethnicity, primary language, and trimester of the prenatal screen. Crude and adjusted odds ratios were generated from logistic regression models. Results: Overall, 16.4% of women screened positive for depression. English-speaking women, non-Hispanic white women, and those ages >35 years were more likely to screen positive. Women >35 years also had higher odds of reporting thoughts of self-harm than younger women. Conclusion: In this low-income border population, non-Hispanic white, English-speaking women over the age of 35 were at the greatest risk of peripartum depression. These findings underscore the need for peripartum depression screening in this population.

Factors affecting utilization of mental health services from Primary Health Care (PHC) facilities of western hilly district of Nepal

AIM

To explore the factors affecting mental health service utilization from Primary Health Care facilities of Arghakhanchi district, a western hilly district of Nepal.

BACKGROUND

Mental health service utilization has many facilitating and hindering factors present at different socio-ecological levels. Stigma and lack of awareness in the community have been identified as the major barriers for mental health service demand and access worldwide.

METHODS

A cross-sectional qualitative study was conducted in Arghakhanchi district of Nepal in July-August 2019 that collected information through face-to-face In-depth and Key Informant Interviews of three categories of participants selected judgmentally. Thirty-two purposively selected participants from the three categories were interviewed using validated interview guidelines. Thematic analysis was performed using RQDA package for EZR software. Validation of translated transcripts, member checking and inter-coder percent agreement were performed to maintain rigor in the study.

RESULTS

Mental health stigma and inadequate awareness were identified as major factors that caused barriers for mental health service utilization at community level. They also influenced different factors at other socio-ecological levels to act as barriers. Awareness in community along with accessibility and availability of comprehensive mental health services were recommended by the participants for increasing service utilization from Primary Health Care facilities.

CONCLUSION

Individual, family and community awareness could help reduce and/or eliminate mental health stigma. Accessibility of health facilities and availability of comprehensive mental health services in Primary Health Care facilities could help increase service utilization from those facilities.

Association between BDNF Polymorphism and Depressive Symptoms in Patients Newly Diagnosed with Type 2 Diabetes Mellitus

PURPOSE

Little is known about the relationship between brain-derived neurotrophic factor (BDNF) gene polymorphisms and psychiatric symptoms in diabetes patients. We investigated the effects of BDNF Val/66/Met polymorphism, glucose status, psychological susceptibility, and resilience on anxiety and depression symptoms in patients newly diagnosed with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

We examined biochemical factors and BDNF polymorphism in 89 patients who were newly diagnosed with T2DM. Psychiatric symptoms were investigated with the Hospital Anxiety and Depression Scale (HADS), and the Connor-Davidson Resilience Scale (CD-RISC) and Impact of Event Scale (IES) were used to assess psychological resilience and susceptibility to psychological distress, respectively. Logistic regression analyses were conducted to investigate factors associated with psychiatric symptoms.

RESULTS

We determined that 62 patients (70%) were Met-carriers. No significant differences were found between the Val/Val homozygous and Met-carrier groups regarding age, sex, body mass index, and clinical factors related to glycemic control and lipid profiles. HADS-anxiety and HADS-depression scores and IES factor scores were higher in the Met-carrier than the Val/Val homozygous group. Hemoglobin A1c (HbA1c) level was significantly inversely correlated with the severity of depressive symptoms. Resilience factors showed significant inverse correlations, and IES factors showed positive correlations with depressive symptom severity. In the logistic regression analysis model, depressive symptoms were significantly associated with HbA1c and BDNF polymorphism, whereas only the hyperarousal factor of the IES scale was associated with anxiety.

CONCLUSION

Depressive symptoms are associated with the presence of the Met-carriers and lower HbA1c in patients newly diagnosed with T2DM.

The ASHA (Hope) Project: Testing an Integrated Depression Treatment and Economic Strengthening Intervention in Rural Bangladesh: A Pilot Randomized Controlled Trial

Depression, a debilitating disorder, is highly prevalent among low-income women in low- and middle-income countries. Standard psychotherapeutic approaches may be helpful, but low treatment uptake, low retention, and transient treatment effects reduce the benefit of therapy. This pilot randomized controlled trial examined the effectiveness and feasibility of an integrated depression treatment/economic strengthening intervention. The study took place in two villages in the Sirajganj district in rural Bangladesh. Forty-eight low-income women with depressive symptoms (Patient Health Questionnaire (PHQ-9) score ≥ 10) were recruited and randomized to intervention or control arms. The intervention included a six-month group-based, fortnightly depression management and financial literacy intervention, which was followed by a cash-transfer of $186 (equivalent to the cost of two goats) at 12 months' follow-up. The cash transfer could be used to purchase a productive asset (e.g., agricultural animals). The control arm received no intervention. Findings showed significant reduction in depression scores in the intervention group. The mean PHQ-9 score decreased from 14.5 to 5.5 (B ± SE, -9.2 ± 0.8 95% CI -10.9, -7.5, p < 0.01) compared to no change in the control group. Most other psycho-social outcomes, including tension, self-esteem, hope, social-support, and participation in household economic decision-making, also improved with intervention. An integrated depression treatment and financial empowerment intervention was found to be highly effective among rural low-income women with depression. Next steps involve formal testing of the model in a larger trial.

Maternal psychosocial predictors of pacifier use in a mother-infant interaction task: An observational study from the MPEWS pregnancy cohort

The prevalence of pacifier use is high but when it occurs outside of the recommended sleep context, it becomes more controversial. Using 211 mother-infant dyads recorded as part of the Mercy Pregnancy and Emotional Wellbeing Study, we examined the maternal psychosocial predictors of pacifier use within an interaction task (i.e., ten minutes face-to-face followed by 30-minutes unstructured play). Predictors included maternal emotional availability measured with the Emotional Availability Scales; depression measured by the Structured Clinical Interview for the DSM-IV-TR Clinician Version; and maternal history of childhood trauma measured by the Childhood Trauma Questionnaire. An unadjusted odds ratio demonstrated that women classified as non-emotionally available to their infants were three-and-a-half-times more likely to use a pacifier. Multivariate logistic regression including all maternal psychosocial predictors demonstrated that even when adjusting for cessation of breastfeeding, maternal emotional availability remained the only significant predictor of pacifier use. This is the first time that predictors of pacifier use have been examined with a sample of clinically depressed women, as well as women with childhood trauma history. The results provide preliminary evidence that women who are not emotionally available might be more likely to rely on a pacifier during mother-infant interaction.

Effects of electroacupuncture therapy for depression: Study protocol for a multicentered, randomized controlled trial

INTRODUCTION

As a major public health problem, depression has a negative impact on individuals and society. The aim of this well-designed trial is to evaluate the efficacy and safety of electroacupuncture (EA) treatment for depression.

METHODS/DESIGN

A 3-arm parallel, nonblinded, randomized controlled trial will be performed in 4 hospitals (centers). A total of 144 participants will be divided into 3 groups: EA group, manual acupuncture (MA) group, and western medicine group. Participants in EA group and MA group will receive 12 sessions of acupuncture treatment for 4 weeks. Participants allocated to western medicine group will only take 20 mg fluoxetine orally per day for 4 weeks. The primary outcome is Hamilton Depression Scale. Secondary outcomes are Self-Rating Depression Scale, Depression Scale of traditional Chinese medicine (Depression Scale of Traditional Chinese Medicine), brain fMRI and blood biomarkers including neurotransmitters serotonin, dopamine, noradrenaline, inflammatory cytokines inerleukin (IL)-1β, tumor necrosis factor-α, IL-6, and neurotrophin BDNF. All the outcomes will be assessed at baseline, 4 weeks after EA treatment onset and 6-month follow-up.

DISCUSSION

The results of this trial will verify the efficacy and safety of EA treatment for depressive patients and provide acupuncturists and clinicians with robust clinical evidence.

TRIAL REGISTRATION

Chinese Clinical Trial Registry identifier: ChiCTR1900023420. Version 1. Registered on 26 May 2019. http://www.chictr.org.cn/edit.aspx?pid=37621&htm=4.

The effectiveness and safety of acupuncture for depression: An overview of meta-analyses

PURPOSE

To provide an overview of existing meta-analysis (MAs) on the efficacy and safety of acupuncture for depression, and assess the methodological quality and the strength of evidence of the included MAs.

METHODS

We searched MAs of randomized trials that have evaluated the effects of acupuncture on depression in three international and three Chinese databases from their inception until August 2019. The methodological quality of included MAs was evaluated with the Assessing the Methodological Quality of Systematic Reviews 2 (AMSTAR-2), and the strength of evidence with the Grading of Recommendations, Assessment, Development and Evaluation (GRADE). We used the intra-class correlation coefficient (ICC) to assess reviewer agreement in the pre-experiment.

RESULTS

We included 31 MAs and 59 RCTs. The results of included MAs were conflicting, our meta-analyses found that acupuncture may confer small benefit in reducing the severity of depression by end of treatment than no treatment/wait list/treatment as usual(SMD -0.74, 95% CI -1.06 to -0.41, eight trials, 624 participants), control acupuncture (invasive, non-invasive sham controls) (SMD 0.27, 95% CI -0.51 to -0.04, 20 trials, 1055 participants), antidepressants(Selective serotonin reuptake inhibitors (SSRI)/ Tetracyclic antidepressants(TCAs)) (SMD -0.28, 95% CI -0.46 to -0.10, 30 trials, 3068 participants), acupuncture plus antidepressants versus antidepressants(SSRI/TCAs) (SMD -0.99, 95% CI -1.37 to -0.61, 17 trials, 1110 participants). Subgroup analyses showed that there was no difference between electro-acupuncture and invasive control (P = 0.37), electro-acupuncture and non-invasive control (P = 0.90), manual acupuncture and Tetracyclic antidepressants (P = 0.57), electro-acupuncture and Tetracyclic antidepressants (P = 0.07). Six MAs concluded that acupuncture reduced the incidence of adverse events compared with antidepressants. The evaluation with AMSTAR-2 showed that the quality of included MAs was low or critically low. The results of the GRADE evaluation showed that the strength of evidence was low to very low for most outcomes.

CONCLUSIONS

Although acupuncture appears to be more effective and safer than no treatment, control acupuncture and antidepressants, the quality of the available evidence was very low. Further methodologically rigorous and adequately powered primary studies are needed to confirm the effectiveness of acupuncture for depression.

Recognition and treatment of depression in older adults admitted to acute hospitals in England

Levels of awareness and treatment of depression in older adults admitted to acute hospitals are unclear. This study aims to examine the proportion of older adults diagnosed with depression in acute hospitals, treatment, referral, and communication between secondary and primary healthcare services following discharge. Retrospective examination of records of 766 older adults admitted to 27 acute hospitals in England was carried out. Ninety-eight (12.7%, 95% confidence interval (CI) = 10.6-15.3) records included a diagnosis of depression of which eight (1.0%, 95% CI = 0.5-2.0) had a new diagnosis made during their hospital admission. All newly diagnosed and 76 (84.4%, 95% CI = 75.5-90.5) of those with an existing diagnosis of depression were prescribed antidepressant medication. Six (75.0%, 95% CI = 40.9-92.8) of those with a new diagnosis, and 21 (23.3%, 95% CI = 15.8-33.0) with an existing diagnosis of depression were referred to liaison psychiatry. References to mental health were made in 50 (51.0%, 95% CI = 41.2-60.6) discharge letters sent to primary care. Very few older adults admitted to acute hospitals in this study were diagnosed with depression during their inpatient stay. Opportunities for improving the mental and physical health of such patients appear to be being missed.

Quercetin and Related Chromenone Derivatives as Monoamine Oxidase Inhibitors: Targeting Neurological and Mental Disorders

Monoamine oxidase inhibitions are considered as important targets for the treatment of depression, anxiety, and neurodegenerative disorders, including Alzheimer’s and Parkinson’s diseases. This has encouraged many medicinal chemistry research groups for the development of most promising selective monoamine oxidase (MAO) inhibitors. A large number of plant isolates also reported for significant MAO inhibition potential in recent years. Differently substituted flavonoids have been prepared and investigated as MAO-A and MAO-B inhibitors. Flavonoid scaffold showed notable antidepressant and neuroprotective properties as revealed by various and established preclinical trials. The current review made an attempt to summarizing and critically evaluating the new findings on the quercetin and related flavonoid derivatives functions as potent MAO isoform inhibitors.

Effect of Medicaid Expansion on Health Insurance Coverage and Access to Care Among Adults With Depression

OBJECTIVE

Multiple studies have detailed the relationship between Medicaid expansion under the Affordable Care Act and various health and financial outcomes. However, fewer studies have examined Medicaid expansion's effects on individuals with psychiatric diagnoses. This study sought to determine the relationship between Medicaid expansion and various health and financial outcomes among low-income adults with depression.

METHODS

This quasi-experimental study used a random-digit-dial survey of U.S. citizens ages 19-64 with incomes below 138% of the federal poverty level. Surveys were conducted in three southern states (two expansion states, Arkansas and Kentucky, and one nonexpansion state, Texas) between 2013 and 2016. The study sample consisted of those with a positive screen for depression-score of ≥2 on the two-item Patient Health Questionnaire (N=4,853). Survey-weighted difference-in-differences regressions were conducted with insurance status, health care access and utilization, and affordability of care as outcomes of interest. Subgroup analyses stratified the sample on the basis of the respondent's residence in a health professional shortage area (HPSA) in mental health and severity of depression.

RESULTS

Medicaid expansion was associated with a significant reduction in the proportion of adults with depression who lacked health insurance (-23 percentage points, 95% confidence interval=-32 to -14, p<.001). Medicaid expansion was also associated with significant reductions in delaying care and medications because of cost. These changes were similar regardless of residence in a mental health HPSA and severity of depression.

CONCLUSIONS

Medicaid expansion was associated with improved access to care and medication among persons with depression, even in areas with relative shortages of mental health professionals.

Association between a national primary care pay-for-performance scheme and suicide rates in England: spatial cohort study

BACKGROUND

Pay-for-performance policies aim to improve population health by incentivising improvements in quality of care.AimsTo assess the relationship between general practice performance on severe mental illness (SMI) and depression indicators under a national incentivisation scheme and suicide risk in England for the period 2006-2014.

METHOD

Longitudinal spatial analysis for 32 844 small-area geographical units (lower super output areas, LSOAs), using population-structure adjusted numbers of suicide as the outcome variable. Negative binomial models were fitted to investigate the relationship between spatially estimated recorded quality of care and suicide risk at the LSOA level. Incidence rate ratios (IRRs) were adjusted for deprivation, social fragmentation, prevalence of depression and SMI as well as other 2011 Census variables.

RESULTS

No association was found between practice performance on the mental health indicators and suicide incidence in practice localities (IRR=1.000, 95% CI 0.998-1.002). IRRs indicated elevated suicide risks linked with area-level social fragmentation (1.030; 95% CI 1.027-1.034), deprivation (1.013, 95% CI 1.012-1.014) and rurality (1.059, 95% CI 1.027-1.092).

CONCLUSIONS

Primary care has an important role to play in suicide prevention, but we did not observe a link between practices' higher reported quality of care on incentivised mental health activities and lower suicide rates in the local population. It is likely that effective suicide prevention needs a more concerted, multiagency approach. Better training in suicide prevention for general practitioners is also essential. These findings pertain to the UK but have relevance to other countries considering similar programmes.Declaration of interestNone.

Deficits in history taking skills among final year medical students in a family medicine course: A study from KSA

OBJECTIVES

History taking is considered an important diagnostic tool in medicine. Medical students should be competent in focused history-taking skills to reach initial diagnosis. The aim of this study was to identify deficits in history-taking skills among final year medical students in family medicine courses in Qassim University, KSA.

METHODS

All objective structured clinical examination (OSCE) sheets were collected and analysed to evaluate the history-taking component of the final examination from 2016 until January 2018.

RESULTS

A total of 94 OSCE sheets were evaluated. Achievement in some history taking skills of the students was low (differential diagnosis 31.9%, alarming symptoms of disease 39.4%, clarification of major complaint-associated symptoms 47.9%, and stress, anxiety, and depression screening 59.6%). However, the students' performances were better with respect to communication skills in general and exploration of the patients' ideas, concerns, and expectations. Significantly more male than female students had a better performance in some skills such as facilitating technique, appropriately exploring major complaint-associated symptoms, enquiring about differential diagnoses, and to rule out alarm symptoms.

CONCLUSIONS

In this study, the students' performance was generally better with respect to communication skills and psychosocial history. However, the students showed poor knowledge in other aspects of history-taking skills as they failed to formulate more than one hypothesis and to ask about alarm symptoms. Teaching communication and clinical reasoning skills and connecting physical and psychosocial aspects of patient care promotes understanding of the patient as a whole and should be taught in all courses of the clinical phase, with emphasis on bedside training.

Many Shades of Green: Assessing Awareness of Differences in Mental Health Care Needs Among Subpopulations of Military Veterans

The current study sought to examine access to services by various veteran subgroups: racial/ethnic minorities, females, rural populations, and LGBTQ (Lesbian, Gay, Bisexual, Transgender, and Queer). Generally, the Veteran Service Officers (VSOs) interviewed for this study did not feel that these subgroups were well served by the program and treatment options presently available, and that other groups such as males and urban veterans received better access to necessary psychosocial and medical care. This research extends studies that explore overall connection to services by further demonstrating barriers to receipt of services by specific subgroups of veterans, particularly those at risk for involvement in the criminal justice system.

Unmet needs in the depressed primary care elderly and their relation to severity of depression: results from the AgeMooDe study

OBJECTIVES

This study aims at examining the distribution of unmet environmental, physical, social and psychological care needs in a sample of the oldest old primary care patients with different levels of depression severity. Furthermore, the objective of this study was to analyze the association between specific unmet care needs and severity of depression.

METHOD

The sample of patients aged 75 years (n = 202) and more was derived from the multicenter prospective cohort study AgeMooDe ('Late-life depression in primary care: Needs, health care utilization and costs'). Patients were assessed via structured clinical interviews containing the German version of the Camberwell Assessment of Need for the Elderly (CANE) and the German Hospital Anxiety and Depression Scale (HADS-D). Descriptive statistics, Spearman correlation coefficients and binary logistic regression analyses were computed.

RESULTS

Unmet needs appeared to be substantially higher in the patient group with higher levels of depression severity according to the HADS-D score. Overall, there was weak positive linear correlation between depression and CANE total unmet needs. Except of the physical unmet needs category, all other CANE care categories showed little to moderate positive linear correlations with depression according to the HADS-D score. Depression and psychological unmet needs showed the strongest of all correlations, followed by social unmet needs. The binary logistic regression analysis revealed that patients having psychological unmet needs were 4.8 times more likely diagnosed with a probable depression.

CONCLUSION

Systematic needs assessment, especially psychological needs, may play a crucial role in the course of prevention and effective treatment of late-life depression in the primary care context.

Using Unannounced Standardized Patients to Explore Variation in Care for Patients With Depression

BACKGROUND

Physicians across specialties need to be skilled at diagnosing and treating depression, yet studies show underrecognition and inadequate treatment. Understanding the reasons requires specifying the influence of patient presentation, screening, and physician competence.

OBJECTIVE

We deployed an unannounced standardized patient (SP) case to assess clinic screening and internal medicine (IM) residents' practices in identifying, documenting, and treating depression.

METHODS

The SP represented a new patient presenting to the outpatient clinic, complaining of fatigue, with positive Patient Health Questionnaire (PHQ) items 2 and 9 and a family history of depression. The SPs assessed clinic screening and IM resident practices; appropriate treatment was assessed through chart review and defined as the resident doing at least 1 of the following: prescribing a selective serotonin reuptake inhibitor (SSRI), making a referral, or scheduling a 2-week follow-up.

RESULTS

Of 129 IM residents, 85 (66%) provided appropriate treatment, 79 (61%) appropriately referred, 59 (46%) prescribed an SSRI, and 49 (38%) scheduled a 2-week follow-up, while 40 (31%) did not add depression to the problem list. The IM residents who used PHQ-2 and PHQ-9 were more likely to appropriately (89%) versus inappropriately (50%) treat (P < .001). Compared with those who did not, residents who treated appropriately assessed depression symptoms more (P < .001) and had better communication (73% versus 50%, P = .02), patient centeredness (74% versus 42%, P = .03), and patient activation skills (35% versus 11%, P < .001).

CONCLUSIONS

The use of unannounced SPs helps identify targets for training residents to provide evidence-based treatment of depression.

Prevalence of unrecognized depression in patients with chronic pain without a history of psychiatric diseases

Background

We aimed to investigate the prevalence of unrecognized depression in patients with chronic pain, but with no history of psychiatric diseases.

Methods

Patients with chronic pain who did not have a history of psychiatric disease were selected for this study. The Beck Depression Index (BDI) was used to evaluate depression. Participants' socio-demographic characteristics and pain-related characteristics were also recorded.

Results

The study included 94 consecutive patients with chronic pain (28 men and 66 women). Based on the BDI scores, 33/94 (35.1%) patients with chronic pain had comorbid depression. The prevalence of depression was significantly higher in our cohort than it was in the general population (P < 0.001). The standardized incidence ratio, adjusted for age and sex, was 2.77 in men and 2.60 in women. Patients who were unmarried (odds ratio [OR] = 3.714, P = 0.044), and who had subjective sleep disturbance (OR = 8.885, P < 0.001), were more likely to have moderate to severe depression. Patients with high education levels (OR = 0.244, P = 0.016), and who were economically active (OR = 0.284, P = 0.023), were less likely to have moderate to severe depression.

Conclusions

Our results indicate that unrecognized depression in patients with chronic pain is common. Therefore, pain physicians should actively seek to identify these problems rather than relying on the patient to volunteer such information.

Is Depression a Modifiable Risk Factor for Diabetes Burden?

The purpose of this review article was to examine the empirical evidence supporting depression as a risk factor for diabetes complications and associated burden. A database search using keywords located recent clinical and population studies addressing the association between depression and type 2 diabetes. Both cross-sectional and cohort studies were reviewed. Depression appears to exacerbate the progression of type 2 diabetes. The evidence is strong supporting the hypothesis that depression in persons with diabetes increases the risk of diabetes-related burden, including suboptimal glycemic control, complications, functionality, mortality, and health care utilization. Screening for depression among patients with diabetes should be increased in primary care. Newer approaches to diabetes care management may help to slow the progression of diabetes.

Acupuncture for depression

BACKGROUND

Depression is recognised as a major public health problem that has a substantial impact on individuals and on society. People with depression may consider using complementary therapies such as acupuncture, and an increasing body of research has been undertaken to assess the effectiveness of acupuncture for treatment of individuals with depression. This is the second update of this review.

OBJECTIVES

To examine the effectiveness and adverse effects of acupuncture for treatment of individuals with depression.To determine:• Whether acupuncture is more effective than treatment as usual/no treatment/wait list control for treating and improving quality of life for individuals with depression.• Whether acupuncture is more effective than control acupuncture for treating and improving quality of life for individuals with depression.• Whether acupuncture is more effective than pharmacological therapies for treating and improving quality of life for individuals with depression.• Whether acupuncture plus pharmacological therapy is more effective than pharmacological therapy alone for treating and improving quality of life for individuals with depression.• Whether acupuncture is more effective than psychological therapies for treating and improving quality of life for individuals with depression.• Adverse effects of acupuncture compared with treatment as usual/no treatment/wait list control, control acupuncture, pharmacological therapies, and psychological therapies for treatment of individuals with depression.

SEARCH METHODS

We searched the following databases to June 2016: Cochrane Common Mental Disorders Group Controlled Trials Register (CCMD-CTR), Korean Studies Information Service System (KISS), DBPIA (Korean article database website), Korea Institute of Science and Technology Information, Research Information Service System (RISS), Korea Med, Korean Medical Database (KM base), and Oriental Medicine Advanced Searching Integrated System (OASIS), as well as several Korean medical journals.

SELECTION CRITERIA

Review criteria called for inclusion of all published and unpublished randomised controlled trials comparing acupuncture versus control acupuncture, no treatment, medication, other structured psychotherapies (cognitive-behavioural therapy, psychotherapy, or counselling), or standard care. Modes of treatment included acupuncture, electro-acupuncture, and laser acupuncture. Participants included adult men and women with depression diagnosed by Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV), Research Diagnostic Criteria (RDC), International Statistical Classification of Diseases and Related Health Problems (ICD), or Chinese Classification of Mental Disorders Third Edition Revised (CCMD-3-R). If necessary, we used trial authors' definitions of depressive disorder.

DATA COLLECTION AND ANALYSIS

We performed meta-analyses using risk ratios (RRs) for dichotomous outcomes and standardised mean differences (SMDs) for continuous outcomes, with 95% confidence intervals (CIs). Primary outcomes were reduction in the severity of depression, measured by self-rating scales or by clinician-rated scales, and improvement in depression, defined as remission versus no remission. We assessed evidence quality using the GRADE method.

MAIN RESULTS

This review is an update of previous versions and includes 64 studies (7104 participants). Most studies were at high risk of performance bias, at high or unclear risk of detection bias, and at low or unclear risk of selection bias, attrition bias, reporting bias, and other bias.Acupuncture versus no treatment/wait list/treatment as usualWe found low-quality evidence suggesting that acupuncture (manual and electro-) may moderately reduce the severity of depression by end of treatment (SMD -0.66, 95% CI -1.06 to -0.25, five trials, 488 participants). It is unclear whether data show differences between groups in the risk of adverse events (RR 0.89, 95% CI 0.35 to 2.24, one trial, 302 participants; low-quality evidence).Acupuncture versus control acupuncture (invasive, non-invasive sham controls)Acupuncture may be associated with a small reduction in the severity of depression of 1.69 points on the Hamilton Depression Rating Scale (HAMD) by end of treatment (95% CI -3.33 to -0.05, 14 trials, 841 participants; low-quality evidence). It is unclear whether data show differences between groups in the risk of adverse events (RR 1.63, 95% CI 0.93 to 2.86, five trials, 300 participants; moderate-quality evidence).Acupuncture versus medicationWe found very low-quality evidence suggesting that acupuncture may confer small benefit in reducing the severity of depression by end of treatment (SMD -0.23, 95% CI -0.40 to -0.05, 31 trials, 3127 participants). Studies show substantial variation resulting from use of different classes of medications and different modes of acupuncture stimulation. Very low-quality evidence suggests lower ratings of adverse events following acupuncture compared with medication alone, as measured by the Montgomery-Asberg Depression Rating Scale (MADRS) (mean difference (MD) -4.32, 95% CI -7.41 to -1.23, three trials, 481 participants).Acupuncture plus medication versus medication aloneWe found very low-quality evidence suggesting that acupuncture is highly beneficial in reducing the severity of depression by end of treatment (SMD -1.15, 95% CI -1.63 to -0.66, 11 trials, 775 participants). Studies show substantial variation resulting from use of different modes of acupuncture stimulation. It is unclear whether differences in adverse events are associated with different modes of acupuncture (SMD -1.32, 95% CI -2.86 to 0.23, three trials, 200 participants; very low-quality evidence).Acupuncture versus psychological therapyIt is unclear whether data show differences between acupuncture and psychological therapy in the severity of depression by end of treatment (SMD -0.5, 95% CI -1.33 to 0.33, two trials, 497 participants; low-quality evidence). Low-quality evidence suggests no differences between groups in rates of adverse events (RR 0.62, 95% CI 0.29 to 1.33, one trial, 452 participants).

AUTHORS' CONCLUSIONS

The reduction in severity of depression was less when acupuncture was compared with control acupuncture than when acupuncture was compared with no treatment control, although in both cases, results were rated as providing low-quality evidence. The reduction in severity of depression with acupuncture given alone or in conjunction with medication versus medication alone is uncertain owing to the very low quality of evidence. The effect of acupuncture compared with psychological therapy is unclear. The risk of adverse events with acupuncture is also unclear, as most trials did not report adverse events adequately. Few studies included follow-up periods or assessed important outcomes such as quality of life. High-quality randomised controlled trials are urgently needed to examine the clinical efficacy and acceptability of acupuncture, as well as its effectiveness, compared with acupuncture controls, medication, or psychological therapies.

Preferences for Depression Treatment Including Internet-Based Interventions: Results From a Large Sample of Primary Care Patients

Background: To date, little is known about treatment preferences for depression concerning new media. This study aims to (1) investigate treatment preferences for depression including internet-based interventions and (2) examine subgroup differences concerning age, gender and severity of depression as well as patient-related factors associated with treatment preferences. Methods: Data were derived from the baseline assessment of the @ktiv-trial. Depression treatment preferences were assessed from n = 641 primary care patients with mild to moderate depression regarding the following treatments: medication, psychotherapy, combined treatment, alternative treatment, talking to friends and family, exercise, self-help literature, and internet-based interventions. Depression severity was specified by GPs according to ICD-10 criteria. Ordinal logistic regression models were conducted to identify associated factors of treatment preferences. Results: Patients had a mean age of 43.9 years (SD = 13.8) and more than two thirds (68.6%) were female. About 43% of patients had mild depression while 57% were diagnosed with moderate depression. The majority of patients reported strong preferences for psychotherapy, talking to friends and family, and exercise. About one in five patients was very likely to consider internet-based interventions in case of depression. Younger patients expressed significantly stronger treatment preferences for psychotherapy and internet-based interventions than older patients. The most salient factors associated with treatment preferences were the patients' education and perceived self-efficacy. Conclusions: Patients with depression report individually different treatment preferences.Our results underline the importance of shared decision-making within primary care. Future studies should investigate treatment preferences for different types of internet-based interventions.