Depressive Symptomatology Research Articles

Development of a revised version of the SCRAM questionnaire to evaluate sleep, circadian rhythms, and mood characteristics

ABSTRACT Sleep quality, chronotype, and mood may be closely interconnected processes. Typically, such constructs are measured independently, leaving out important information regarding their intrinsic relationships. The Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire is a promising tool for measuring sleep, chronotype, understood as diurnal preference, and depressive symptomatology, and the interrelationships between them. Anxiety has also been linked to sleep quality, chronotype, and depression, but there is currently no scale that measures these constructs together. This study aims to validate a revised version of the SCRAM questionnaire (rSCRAM), incorporating items to measure anxious mood. 486 Italian participants were involved in two studies. In Study 1, principal component analysis (PCA) identified representative anxiety elements from validated questionnaires. In Study 2, after adding the anxiety elements, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) established a 4-factor, 16-item model. The rSCRAM demonstrated excellent psychometric properties: high internal consistency (α = 0.72–0.90) and a strong test-retest reliability of the scales over 2 weeks (r = 0.73–0.82), a high correlation for convergent validity, and low correlations for divergent validity. The rSCRAM questionnaire measures the constructs for which it was created and revised. Including the anxiety scale enhances its utility in assessing mental health constructs within a single instrument.

Early-Life Stress Influences the Transcriptional Activation of Alpha-2A Adrenergic Receptor and Associated Protein Kinase A Signaling Molecules in the Frontal Cortex of Rats.

Early life is a highly sensitive period associated with profound changes in brain structure and function. Adverse experiences of early-life stress (ELS) are prominent risk factors for the precipitation of major depressive disorder (MDD). In recent years, dysfunction of the central noradrenergic (NA) system and subsequent deficits in norepinephrine (NE) signaling have gained increasing attention in the pathophysiology of MDD. However, the role of the α-2A adrenergic receptor and its downstream second messenger signaling system has not been investigated in connection to early-life stress-induced depression, limiting valuable insights into neurobiological mechanisms underlying this disorder. In this study, we used maternal separation (MS) as a rodent model of ELS to investigate whether ELS-induced depressive behavior is related to the α-2A adrenergic receptor and its associated second messenger signaling cascade. To do so, we studied expression levels of the α-2A adrenergic receptor (Adra2a), G alpha proteins (stimulatory subunit-Gαs [Gnas] and inhibitory subunit-Gαi [Gnai1 and Gnai2]), and downstream protein kinase A (PKA) catalytic [Prkarcα and Prkarcβ] and regulatory subunits [Prkar1α, Prkar1β, Prkar2α, and Prkar2β]) in the frontal cortex (FC) of MS rats. We found reduced sucrose preference in MS animals, along with reduced transcript levels of Adra2a, Gnai2, Prkar1β, and Prkarcβ. These findings suggest that ELS exposure may contribute to depression symptomatology via alterations in the expression of key genes involved in the NA system, highlighting potential mechanisms underlying ELS-induced depressive behavior.

Abstract 4124182: Depression Symptomatology as Predictor of Incident Major Vascular Outcomes: Results from the Hispanic Community Health Study/Study of Latinos

Background: Cardiovascular disease (CVD) has consistently been associated with higher depression symptoms and disorders. Conversely, fewer studies have shown that depression predicts risk of incident CVD and mortality. Objective: To examine the association of depression symptoms with incident major adverse cardiovascular events (MACE) among Hispanics/Latinos living in US. Methods: MACE-free Hispanic Community Health Study/Study of Latinos participants who underwent baseline evaluation between 2008-2011 (n=15,180) were included. MACE was defined as the composite of incident stroke, myocardial infarction (MI), or decompensated heart failure (HF), adjudicated using standard criteria up to year 2019. Depression symptoms were assessed at baseline with a 10-item Center for Epidemiological Studies Depression Scale (CES-D 10, range 0-30 points, 5 points increments), with clinically significant depression defined as CES-D 10 ≥10 points. The incident rate ratio (IRR) of MACE across CES-D 10 scores was determined using Poisson regression models, adjusting for baseline sociodemographic characteristics and Framingham Risk Scores. Analyses were weighted for complex survey design and non-response. Results: The mean age (95% CI) was 40.4 (39.9-40.9) years, and the mean CES-D 10 score was 8.4, 95%CI (7.2-9.5) for those with MACE vs 6.9, 95%CI (6.7-7.0) for individuals without MACE (p<0.05). Clinically significant depression symptoms were present in 29% of the population. There were 321 total MACE outcomes that occurred between baseline and year 2019, with 120 MACE occurrences in individuals with CES-D 10 ≥10 points. In the fully adjusted model, increasing CES-D 10 was associated with higher incidence of MACE (for all: IRR 1.22, 95% CI (1.10-1.36); for those with CES-D 10 scores ≥10: IRR 1.62, 95% CI (1.21-2.17). Additionally, participants with CES-D 10 scores ≥10 were 1.4 times more likely to develop MACE compared to those with CES-D 10 scores <10 (HR 1.41, 95% CI=1.13-1.83, Figure). Among MACE sub-components, incident HF was twice as high in the population with CES-D 10 ≥10 points versus those with CES-D 10 <10 points (HR 2.36, 95% CI (1.58-3.51)). Conclusion: The findings of this cohort study indicate that depression symptomatology is associated with incident overall MACE and HF, and that clinically significant depression symptoms further increased risk for MACE and HF, making early treatment of depression a possible target for decreasing CVD incidence.

Pre- and post-COVID 19 outbreak relationship between physical activity and depressive symptoms in Spanish adults with major depressive disorder: a secondary analysis of the RADAR-MDD cohort study

AimTo evaluate the longitudinal association of sedentary behavior, light and moderate-to-vigorous physical activity (MVPA) participation with depressive symptoms and whether their possible association changed depending on the pandemic phase.MethodsThis longitudinal study conducted secondary analysis from the Spanish cohort of the Remote Assessment of Disease and Relapse – Major Depressive Disorder (RADAR-MDD) study. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-8). Sedentary behavior and physical activity were estimated via wrist-worn devices. Linear mixed models evaluated the longitudinal associations of sedentary behavior and physical activity (light and moderate-to-vigorous intensities) with depressive symptoms.ResultsIn total, 95 participants (67.5% women, 53.0 [±10.5] years of age on average) were monitored pre-COVID-19 and included in the analyses. Pre-COVID-19, 73.7% of participants presented depression, and, on average, participated in 13.2 (±1.08) hours/day of sedentary behavior, 2.42 (±0.90) hours/day of light physical activity and 23.6 (±19.80) minutes/day of MVPA. Considering all the observations (from November 2019 to October 2020), an additional hour/day of sedentary behavior was longitudinally associated with higher depressive symptoms [βstd = 0.06, 95% confidence interval (CI) 0.10 to 0.47], whereas an additional hour/day in light physical activity was associated with lower depressive symptoms (βstd = −0.06, 95% CI −0.59 to −0.15). Time in MVPA was not associated with depressive symptomatology. The association of sedentary behavior and light physical activity with depressive symptoms was significant only during pre-COVID-19 and COVID-19 relaxation periods, whereas during the strictest periods of the pandemic with regards to the restrictions (lockdown and de-escalation), the association was not observed.ConclusionSedentary behavior and light physical activity were longitudinally associated with depressive symptoms in participants with a history of MDD. The incorporation of light physical activity should be stimulated in adults with a history of MDD. Neither sedentary behavior nor light physical activity were associated with depressive symptoms during the most restrictive COVID-19 phases, whereas sedentary behavior (positively) and light physical activity (negatively) were associated with depressive symptoms in persons with MDD before and after the COVID-19 pandemic.

Dyadic Coping in Aging: Linking Self-Perceptions of Aging to Depression

Negative self-perceptions of aging have been linked to poorer health and quality of life and predict significantly depressive symptomatology. The support provided by the partner may have an impact on the effects of self-perceptions of aging on depressive symptoms; a close relationship can go along with additional stress or resources and benefits. The present study analyzes the relationship between negative self-stereotypes and depressive symptomatology, considering positive and negative dyadic coping (DC) as moderator variables in this association. Method: Participants were 365 individuals (convenience sample) 40 years or older (M = 60.86) involved in a partner relationship. Participants completed a questionnaire that included the following variables: negative self-perceptions of aging, positive DC (e.g., “My partner shows empathy and understanding to me”), negative DC (e.g., “When I am stressed, my partner tends to withdraw”), and depressive symptomatology. Two moderation models were tested by linear regression. Results: The effect of negative self-perceptions of aging on depressive symptoms was moderated by positive and negative DC only in women. The effect of negative self-perceptions of aging appears to be smaller among those women with higher levels of positive DC and lower levels of negative DC. Conclusions: Positive DC might buffer the association between negative self-perceptions of aging and depressive symptoms. Negative DC might amplify this association, as it is associated with lower well-being among women who express negative self-perceptions of aging. Implications: Training couples in strategies for providing supportive dyadic coping may be a resource to buffer the negative effect of negative self-perceptions of aging on well-being.

Employment status of multiple sclerosis patients in Japan

Aims We conducted a questionnaire survey on Japanese MS patients to determine the relationship of fatigue, depression, and physical activity limitations with the employment status. Materials and Methods The study was conducted to assess the Patient Reported Outcome of MS patients treated with disease modifying drug ≥6 months by recruiting MS patients from a web-based patient panel. Multiple regression analysis was performed by using items described in the Work Productivity and Activity Impairment Questionnaire-General Health Version 2.0 (WPAI-GH) and Fatigue Severity Scale (FSS), Quick Inventory of Depressive Symptomatology (Self-Report) (QIDS-SR), and Patient Determined Disease Step (PDDS). Results Employment rates decreased after MS development and were more pronounced in the group with advanced physical disability with PDDS score ≥ 3. Health-related activity limitations were higher with advanced disability. In the analysis of the 5 subdomains of WPAI-GH by FSS score, the domains “due to health reasons”, “disability rates during work”, “overall work disability among the employed”, and” health-related limitations” all increased with higher FSS scores.” In WPAI-GH by QIDS-SR, the work disability rate was higher in the depressed group than in the normal group, and health-related activity limitations increased with the greater depression. Limitations This is a cross-sectional survey and data are based on PRO, hence are subjective and are collected based on patients' overall responses. Some bias could be attributed to memory and literacy rates as this is an online survey. Conclusions The results suggested that the onset of MS prevented patients from working and forced them to resign from their jobs or give up full-time work. The rate of employment tended to be lower in the group with advanced limitations; suggesting that controlling the progression of limitations may lead to lower turnover, and the rate of health-related activity limitations was correlated with the degree of physical activity limitations, depression, and fatigue, respectively.

Neuropsychiatric Manifestations of COVID-19 Disease and Post Covid Syndrome: The Role of N Acetyl-cysteine and Acetyl-L-carnitine.

COVID-19 is associated with neuropsychiatric symptoms, such as anosmia, anxiety, depression, stress-related reactions, and psychoses. The illness can cause persistent cognitive impairment and "brain fog", suggesting chronic brain involvement. Clinical entities of ongoing symptomatic COVID-19 and Post COVID Syndrome (PCS) mainly present neuropsychiatric symptoms such as dysgeusia, headache, fatigue, anxiety, depression, sleep disturbances, and post-traumatic stress disorder. The pathophysiology of COVID-19-related brain damage is unclear, but it is linked to various mechanisms such as inflammation, oxidative stress, immune dysregulation, impaired glutamate homeostasis, glial and glymphatic damage, and hippocampal degeneration. Noteworthy is that the metabotropic receptor mGluR2 was discovered as a mechanism of internalisation of SARS-CoV-2 in Central Nervous System (CNS) cells. N-acetylcysteine (NAC) and acetyl-L-carnitine (ALC) are two supplements that have already been found effective in treating psychiatric conditions. Furthermore, NAC showed evidence in relieving cognitive symptomatology in PCS, and ALC was found effective in treating depressive symptomatology of PCS. The overlapping effects on the glutamatergic system of ALC and NAC could help treat COVID-19 psychiatric symptoms and PCS, acting through different mechanisms on the xc-mGluR2 network, with potentially synergistic effects on chronic pain and neuro-astrocyte protection. This paper aims to summarise the current evidence on the potential therapeutic role of NAC and ALC, providing an overview of the underlying molecular mechanisms and pathophysiology. It proposes a pathophysiological model explaining the effectiveness of NAC and ALC in treating COVID-19-related neuropsychiatric symptoms.

Depression, health-related quality of life and life satisfaction in patients with heart failure

Background: The Patient Health Questionnaire 9 (PHQ9) has been recognized as an effective tool for identification of patients with heart failure (HF) at risk for lower health-related quality of life (HRQoL). We aimed to compare HRQoL levels, overall satisfaction with health and life, disease severity variables, sociodemographic variables and behavioural risk factors between patients with HF with different levels of depressive symptomatology. Methods: In a >55 years-old general population cross-sectional HF prevalence study, 1851 subjects were screened and those with NTproBNP ≥125 pg/mL (n=930) underwent detailed diagnostic visit to confirm or rule out HF as per 2016 European Society of Cardiology guidelines. HRQoL (the ShortForm 12 Health Survey, SF12; EQ5D3L), depressive symptoms (Patient Health Questionnaire, PHQ9) and satisfaction with life (Satisfaction With Life Scale, SWLS) were also assessed. Patient with HF (75±8 years, 54 % male, New York Heart Association (NYHA) functional class IIII, with mean left ventricular ejection fraction (LVEF) 56±13) were divided into three groups based on the severity of depressive symptomatology as per PHQ9 score (none: score 04, mild: score 59, and moderate-to-severe: score 1027). Multiple group comparisons and pairwise post hoc analyses were performed. Results: Results indicated significant between group differences in NYHA status (p<0.001), number of comorbidities (p=0.006), functional capacity (p=0.01), as well as HRQoL variables (p=0.05 to 0.001) and SWLS score (p<0.05), with nondepressed group generally showing better physical and subjective indicators of health and wellbeing compared with the mild and moderate-to-severe group. Conclusions: Results indicate that even patients with HF with clinically non-significant levels of depressive symptomatology show significantly impaired psychosocial status (diminished HRQoL, lower life satisfaction).

Comparative efficacy of interpersonal psychotherapy and antidepressant medication for adult depression: a systematic review and individual participant data meta-analysis.

Interpersonal psychotherapy (IPT) and antidepressant medications are both first-line interventions for adult depression, but their relative efficacy in the long term and on outcome measures other than depressive symptomatology is unknown. Individual participant data (IPD) meta-analyses can provide more precise effect estimates than conventional meta-analyses. This IPD meta-analysis compared the efficacy of IPT and antidepressants on various outcomes at post-treatment and follow-up (PROSPERO: CRD42020219891). A systematic literature search conducted May 1st, 2023 identified randomized trials comparing IPT and antidepressants in acute-phase treatment of adults with depression. Anonymized IPD were requested and analyzed using mixed-effects models. The prespecified primary outcome was post-treatment depression symptom severity. Secondary outcomes were all post-treatment and follow-up measures assessed in at least two studies. IPD were obtained from 9 of 15 studies identified (N = 1536/1948, 78.9%). No significant comparative treatment effects were found on post-treatment measures of depression (d = 0.088, p = 0.103, N = 1530) and social functioning (d = 0.026, p = 0.624, N = 1213). In smaller samples, antidepressants performed slightly better than IPT on post-treatment measures of general psychopathology (d = 0.276, p = 0.023, N = 307) and dysfunctional attitudes (d = 0.249, p = 0.029, N = 231), but not on any other secondary outcomes, nor at follow-up. This IPD meta-analysis is the first to examine the acute and longer-term efficacy of IPT v. antidepressants on a broad range of outcomes. Depression treatment trials should routinely include multiple outcome measures and follow-up assessments.

Evaluation of Anxiety, Depression, and Health-Related Quality of Life in Female and Male Patients With Newly Diagnosed Type 2 Diabetes

Introduction: Depending on the disease’s stage, type 2 diabetes can impact anxiety, depression, and health-related quality of life. This study aimed to compare the health-related quality of life, anxiety, and depression of men and women recently diagnosed with type 2 diabetes to that of healthy controls. Methods: There were 100 newly diagnosed type 2 diabetic patients (50 females and 50 males), as well as 100 healthy controls (50 females and 50 males). Each participant receives three questionnaires: the Short-Form Health Survey (SF-36), the Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI). Results: Compared to controls, patients’ scores on the SF-36 for total, physical, and mental health were lower for both genders. Compared to controls, the female patients’ BAI and BDI scores were greater. Both male and female diabetes patients had a negative correlation between their SF-36 total score and fasting plasma glucose. Additionally, the female patients’ fasting plasma glucose and BDI score showed a positive correlation. Conclusions: In both genders, patients with recently diagnosed type 2 diabetes had a lower health-related quality of life compared to controls. However, the anxiety and depression levels of only female diabetic patients worsened when compared to controls. We suggest considering gender differences in the symptomatology of anxiety and depression among newly diagnosed type 2 diabetic patients to develop more effective ways to manage their condition, such as comprehensive and early intervention.

Virtual connection and real community: the qualitative experience of participating in a videoconferencing-based psychotherapy group for postpartum depression and anxiety

BackgroundGroup psychotherapy, an effective treatment for common postpartum mental disorders (e.g. depression, anxiety), has increasingly been delivered virtually since the pandemic. This study aims to understand experiential aspects of participating in videoconferencing-based group psychotherapy in the postpartum period.MethodsOur urban academic ambulatory hospital has delivered group psychotherapy for women (cis and trans) and non-binary individuals of female sex with postpartum depressive and anxiety symptomatology via videoconferencing since 2020. One therapist-facilitator conducts weekly 60-min group therapy sessions with 5-6 participants for eight weeks. Group participants were invited to complete a semi-structured qualitative interview on their experience. Using an interpretive description approach, we conducted reflexive thematic analysis to code anonymized transcripts and construct themes. Facilitator interviews were used for triangulation and additional context.ResultsOf 134 patients in video psychotherapy groups over 11 months, 14 completed an interview, as did all group facilitators (n = 3). Overall, participants felt the experience with videoconferencing group therapy was beneficial for their mental health. Three themes were constructed: (1) “Moving Towards a New Normal”: The group helped participants normalize feelings and experiences around transition to parenthood, and accessing health care virtually was now considered to be normal practice, although some wanted an element of choice. (2) “Virtual Connection, Real Community”: Connections were made virtually, yet participants felt a real sense of community. Facilitators played an important role fostering an environment in which participants could create lasting bonds. Participants noted challenges with feeling comfortable virtually and provided pragmatic and structural suggestions for enhancing the creation of community. (3) “Trade-offs to Virtual Engagement”: Participants made positive and negative trade-offs (e.g. no informal interactions, travel, isolation at home, childcare challenges) to maximize their experience and were able to be more authentic in their self-presentation to the group.ConclusionsPeople with postpartum depression and anxiety who participated in videoconferencing-based group psychotherapy appreciated the sense of community within their groups to normalize their experience transitioning to parenthood. Participants had to make trade-offs to access virtual groups, but felt the experience was worthwhile and helped improve their mental health. Findings will help inform continued delivery of virtual group mental health services.

CROSS-NATIONAL MEASUREMENT INVARIANCE OF THE PATIENT HEALTH QUESTIONNAIRE-4 (PHQ-4) AS A SCREENING MEASURE FOR DEPRESSION AND ANXIETY SYMPTOMS IN 12 LATIN AMERICAN COUNTRIES

The Patient Health Questionnaire-4 (PHQ-4) is a widely used instrument to measure symptoms of depression and anxiety in general, but not much is known about its cross-cultural utility in Latin America. The present study evaluated the measurement invariance of the PHQ-4 in adult samples (N = 5441) from 12 Latin American countries (Paraguay, El Salvador, Chile, Ecuador, Colombia, Uruguay, Peru, Mexico, Cuba, Guatemala, Argentina, and Bolivia). The two-factor structure presented a superior fit to the one-factor structure. This provides evidence to support a two-dimensional model of anxious and depressive symptomatology of the PHQ-4, with a good estimate of reliability. The configural, metric, scalar and strict invariance of the PHQ-4 was supported, suggesting that participants from all countries attribute the same meaning to the latent constructs anxiety and depression and their scores can be compared. Additionally, support was provided for the hypothesis that the presence of depressive symptoms significantly predicts subjective well-being. However, the presence of anxiety symptoms fails to significantly predict participants well-being. It is concluded that the PHQ-4 provides a largely comparable measure of anxiety and depression symptoms in a large sample of Latin American countries.

The role of gender factors influencing multiple dimensions of somatic symptoms in major depressive disorder patients with suicidal ideation: insights from the Chinese NSSD study

BackgroundThe study aimed to explore the influence of gender on the prevalence of various somatic symptoms and their associations with suicidal ideation (SI) among patients with major depressive disorder (MDD).MethodsWe recruited 3,275 patients with MDD from the National Survey on Symptomatology of Depression (NSSD), among whom 1,745 patients had SI. The clinical characteristics and the prevalence of somatic symptoms across 20 dimensions in MDD patients with SI were compared between male and female patients. Spearman correlation analysis and logistic regression analysis were used to explore the relationship between somatic symptoms and SI.ResultsIn patients with SI, 32.2% of female participants attributed the onset of MDD to physical concerns, whereas 27% of male patients held a similar perspective (P = 0.032). Female patients exhibited a higher prevalence of early insomnia (64.6% vs. 70.2%) and a lower prevalence of hypersomnia (17.2% vs. 12.9%) and urinary system symptoms (25.0% vs. 17.8%). Logistic regression analysis indicated that female patients displayed a broader range of somatic symptoms identified as risk factors for SI, including increased appetite, respiratory symptoms, circulatory system symptoms, limb pain, and various others.ConclusionThis study unveils gender-specific patterns in somatic symptoms among MDD patients with SI, highlighting the clinical significance of these symptoms in diagnosis and intervention. Understanding how physical concerns contribute to MDD, especially among females, underscores the need for tailored clinical approaches. Recognizing and addressing these symptoms could guide more effective suicide prevention strategies and enhance MDD management in clinical practice.

Effects of electroconvulsive therapy on inflammatory markers and depressive symptoms in adolescents with major depressive disorder.

Limited research exists on the use of electroconvulsive therapy (ECT) for adolescents with major depressive disorder (MDD). This study investigates the effects of ECT on inflammatory markers in adolescents aged 13-18 suffering from severe MDD, evaluating its efficacy in modulating cellular inflammatory markers and ameliorating depressive symptoms. A cohort of 38 adolescents with severe MDD received standard antidepressant therapy along with 6-8 ECT sessions spanning two weeks. A control group of 29 age-matched, healthy individuals was also assessed for comparative purposes. The investigation measured variations in depressive symptomatology and inflammatory marker levels (IL-1β, IL-6, IL-10) pre- and post-intervention. Post-ECT, a substantial decrease in pro-inflammatory cytokines (IL-1β and IL-6) and an increase in the anti-inflammatory cytokine (IL-10) were noted. Participants who responded to the treatment showed a significant decline in HAMD-17 scores, which accentuates ECT's therapeutic potential. Comparative analysis indicated a significant correlation between post-treatment inflammatory marker alterations and clinical improvement, implying that shifts in inflammatory state might serve as predictors of treatment response. Moreover, the mitigation of depressive symptoms exhibited a moderate correlation with post-treatment decrements in IL-1β and IL-6 levels, underscoring MDD's intricacy and ECT's comprehensive impact. While initial inflammatory marker levels did not predict the response to ECT, the post-treatment measures appeared to be linked to clinical improvement. These findings suggest ECT's potential effectiveness in treating severe MDD in adolescents and point to the possible predictive value of inflammatory markers in therapeutic outcomes. The study contributes to our understanding of the biopsychosocial framework of MDD and indicates that ECT may be a viable treatment option for this population.

Safety and efficacy of sertraline in depression among adults undergoing dialysis: A systematic review and meta-analysis

Background: Depression is prevalent among patients with end-stage renal disease (ESRD) undergoing dialysis, with significant implications for their quality of life and treatment compliance. Traditional treatments for depression, including various therapies and pharmacological interventions, have limitations due to their adverse effects. Sertraline, a selective serotonin re-uptake inhibitor (SSRI), offers a promising alternative, but its efficacy and safety in this population require thorough evaluation. Objective: This meta-analysis aims to assess the effectiveness and adverse effects of sertraline in treating depressive episodes in dialysis patients compared to placebo. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a comprehensive search of databases, including PubMed, Cochrane Library, and Science Direct, up to June 20, 2024. We included randomized controlled trials (RCTs) that compared sertraline with placebo in dialysis patients with depression. Two researchers independently performed data extraction and risk of bias assessment. Statistical analysis was conducted using ReviewManager 5.4.1, employing a random effects model. Results: Four RCTs involving 468 participants were included. Sertraline significantly reduced depressive symptoms, as measured by the Quick Inventory of Depressive Symptomatology (QIDS) and Beck Depression Inventory-II (BDI-II) scores, at 6 and 12 weeks compared to placebo. Improvements in kidney disease-specific quality of life (KDQOL-36) scores were also noted. However, sertraline was associated with a higher risk of adverse events compared to placebo. Conclusions: Sertraline effectively reduces depressive symptoms and improves the quality of life in dialysis patients with ESRD. Despite the increased risk of adverse events, the overall benefits make sertraline a viable treatment option for this population. Larger, more comprehensive studies are needed to confirm these findings and optimize sertraline use in clinical practice.

Evaluating the efficacy of support groups in the metaverse for Ukrainian refugees: a protocol for a randomized clinical trial

BackgroundThe Ukrainian crisis, sparked by the Russian invasion, has generated one of the most extensive refugee crises in modern history. Addressing the mental health challenges of Ukrainian refugees is critical to promoting their resilience and successful integration into host communities. Traditional support group interventions might be challenging to implement for geographically dispersed populations, making the metaverse an innovative and inclusive platform for providing much-needed support to such populations.Methods/designDisplaced Ukrainian refugee adults (18 years or older) without current psychiatric diagnoses or current involvement in therapeutic interventions are included in the study. Participants are randomized to one of three conditions: (1) Metaverse Support Groups, (2) In-Person Support Groups, or (3) Waitlist. Both intervention groups (Metaverse and In-Person) undergo 5 support group sessions, and data are collected at baseline, mid-intervention, post-intervention, and 3-month follow-up. Primary outcomes are depressive symptomatology and anxiety. Secondary outcomes are perceived social support, well-being, and gender-based violence awareness.DiscussionTo our knowledge, this is the first attempt to test the efficacy of support groups in the Metaverse for the Ukrainian refugee population. This study can thus add substantially to the body of knowledge on effective interventions and policies for refugees.Trial registrationClinicalTrials.gov Identifier: NCT06142032 (https://clinicaltrials.gov/study/NCT06142032). Registered on November 8, 2023.

Examining the Effects of Cognitive Behavioral Therapy With a Virtual Agent on User Motivation and Improvement in Psychological Distress and Anxiety: Two-Session Experimental Study.

Cognitive behavioral therapy (CBT) is a valuable treatment for mood disorders and anxiety. CBT methods, such as cognitive restructuring, are employed to change automatic negative thoughts to more realistic ones. This study extends on previous research conducted by the authors, focused on the process of correcting automatic negative thoughts to realistic ones and reducing distress and anxiety via CBT with a virtual agent. It was aimed to investigate whether the previously applied virtual agent would achieve changes in automatic negative thoughts when modifications to the previous experimental paradigm are applied and when user motivation is taken into consideration. Furthermore, thepotential effects of existing participant knowledge concerning CBT or automatic thoughts were explored. A single-group, 2-session experiment was conducted using a within-group design. The study recruited 35 participants from May 15, 2023, to June 2, 2023, via Inter Group Corporation, with data collection following from June 5 to June 20, 2023, at Nara Institute of Science and Technology, Japan. There were 19 male and 16 female participants (age range: 18-50 years; mean 33.66, SD 10.77 years). Participants answered multiple questionnaires covering depressive symptomatology and other cognitive variables before and after a CBT session. CBT was carried out using a virtual agent, who participants conversed with using a CBT dialogue scenario on the topic of automatic negative thoughts. Session 2 of the experiment took place 1 week after session 1. Changes in distress and state anxiety were analyzed using a Wilcoxon signed-rank test and t-test for paired samples. The relationships of motivation with cognitive changes and distress or anxiety changes were investigated via correlation analysis. Multiple linear regression was used to analyze the potential predictive qualities of previous knowledge of CBT and automatic negative thoughts regarding outcome measures. Significant reductions in distress (all P<.001) and state anxiety (all P<.003) emerged throughout the first and second experimental sessions. The CBT intervention increased participants' recognition of their negative thinking and their intention to change it, namely their motivation to change it. However, no clear correlations of motivation with changes in distress or anxiety were found (all P>.04). Participants reported moderate subjective changes in their cognition, which were in part positively correlated with their motivation (all P<.007). Lastly, existing knowledge of CBT did not predict reductions in distress during the first session of the experiment (P=.02). CBT using a virtual agent and a CBT dialogue scenario was successful in reducing distress and anxiety when talking about automatic negative thoughts. The promotion of client motivation needs to be critically considered when designing interventions using CBT with a virtual agent, and further experimental investigations on the causal influences between motivation and outcome measures need to be conducted.

Feasibility, acceptability, and fidelity of remote-delivered abbreviated mindfulness-based cognitive therapy interventions for patients with migraine and depressive symptoms.

This study was an open-label single-arm clinical trial evaluating the fidelity, feasibility, acceptability, and clinical signal of abbreviated mindfulness-based cognitive therapy (MBCT-brief) delivered either via telephone (MBCT-T) or by video conferencing (MBCT-V) for people with migraine and comorbid depressive symptoms. Migraine is commonly comorbid with elevated depressive symptoms. MBCT reduces depressive symptoms and shows promise to reduce migraine-related disability. An abbreviated and remotely delivered version of MBCT could increase access to care. People with migraine and elevated depressive symptoms were recruited from a large urban health system. Participants were assigned in blocks of eight to receive an evidence-based MBCT-brief treatment, including eight weekly group classes and home practice delivered via telephone (MBCT-T) or video (MBCT-V); MBCT-T was randomly selected for the first block. Sessions were recorded and coded for treatment fidelity. Feasibility was assessed via session attendance (primary), homework completion, recruitment rate, and survey completion rate. Acceptability was assessed via the eight-item Client Satisfaction Questionnaire (CSQ-8; primary), the Credibility/Expectancy Questionnaire (CEQ), the System Usability Scale (SUS), and items assessing survey acceptability. Participants completed the Headache Disability Inventory (HDI) and Quick Inventory of Depressive Symptomatology-Self Report 16-item (QIDS-SR16) at baseline, mid-treatment, and post-treatment. Feasibility and acceptability rates were compared to a priori benchmarks. Participants (n = 16) were all female with a mean (standard deviation [SD]) age of 45 (13) years, the majority of whom identified as White (13/16, 81%) and non-Hispanic (14/16, 88%). The intervention met the a priori criteria set for therapist fidelity to treatment protocol (mean [SD] MBCT-Treatment Acceptability and Competence Scale Adherence score 2.9 [0.2]), feasibility (mean [SD] session attendance was 7.9/8 [0.3]), and acceptability (mean [SD] CSQ-8 score 28.8 [3.3]) for the entire sample and for each treatment arm. The usability of the remote-delivery system was high across study participants (mean [SD] SUS score 84.8 [11.0]). Survey procedures were broadly deemed acceptable, with at least 80% participants either endorsing "Agree" or "Strongly Agree" across all items. Using Wilcoxon tests, we observed significant reductions in both the HDI (pre-treatment median [interquartile range] score 63 [40, 70] vs. post-treatment 36 [26, 54], p = 0.004) and the QIDS-SR16 (pre-treatment median [interquartile range] score 8 [5, 13] vs. post-treatment 4 [3, 6], p = 0.003). We found that remotely delivered MBCT-brief for migraine and depressive symptoms was feasible and acceptable to patients in both the telephone and video modalities. Intervention was associated with significant post-treatment reductions in headache-related disability and depressive symptomatology, findings that must be interpreted cautiously in the absence of a control group.

Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology.

Effective treatment of bipolar disorder (BD) requires prompt response to mood episodes. Preliminary studies suggest that predictions based on passive sensor data from personal digital devices can accurately detect mood episodes (e.g., between routine care appointments), but studies to date do not use methods designed for broad application. This study evaluated whether a novel, personalized machine learning approach, trained entirely on passive Fitbit data, with limited data filtering could accurately detect mood symptomatology in BD patients. We analyzed data from 54 adults with BD, who wore Fitbits and completed bi-weekly self-report measures for 9 months. We applied machine learning (ML) models to Fitbit data aggregated over two-week observation windows to detect occurrences of depressive and (hypo)manic symptomatology, which were defined as two-week windows with scores above established clinical cutoffs for the Patient Health Questionnaire-8 (PHQ-8) and Altman Self-Rating Mania Scale (ASRM) respectively. As hypothesized, among several ML algorithms, Binary Mixed Model (BiMM) forest achieved the highest area under the receiver operating curve (ROC-AUC) in the validation process. In the testing set, the ROC-AUC was 86.0% for depression and 85.2% for (hypo)mania. Using optimized thresholds calculated with Youden's J statistic, predictive accuracy was 80.1% for depression (sensitivity of 71.2% and specificity of 85.6%) and 89.1% for (hypo)mania (sensitivity of 80.0% and specificity of 90.1%). We achieved sound performance in detecting mood symptomatology in BD patients using methods designed for broad application. Findings expand upon evidence that Fitbit data can produce accurate mood symptomatology predictions. Additionally, to the best of our knowledge, this represents the first application of BiMM forest for mood symptomatology prediction. Overall, results move the field a step toward personalized algorithms suitable for the full population of patients, rather than only those with high compliance, access to specialized devices, or willingness to share invasive data.

Leisure activities, substance use and psychological health among Hungarian adolescents

ABSTRACT During the past several decades, adolescents’ leisure has undergone several important changes due to, for example, alternative modes of entertainment, such as video gaming and social media which have had a significant influence on their well-being. The aim of this study was to examine the relationships of adolescents’ leisure activities to their substance use and psychological health. Participants were middle and high school students (N = 2,239, aged between 12 and 18 years, M = 14.61 years, SD = 1.71; 51.8% females) using data drawn from the Szeged Youth Study 2022, Hungary. Peer-based leisure was positively associated with all types of substance use. Playing and gaming leisure showed a negative relationship with psychosomatic and depressive symptomatology. Aesthetic-sophisticated and family-based leisure proved the most beneficial for psychological health and health behaviour, and it was also the strongest predictor of adolescents’ life satisfaction. Arts, hobbies and internet use played a beneficial role.