Depressive Symptoms In Individuals Research Articles

Correlations of Depressive Symptoms with Glycemic Control in Patients with type 2 Diabetes in Karbala City Iraq

Background: Diabetes mellitus is a well-known co-occurring illness that has been around for 21 centuries. Diabetes mellitus and depression symptoms can both have an impact on a person's capacity to complete daily tasks. Objectives: To evaluate correlations of depressive indications with deprived glycemic control in patients with type 2 Diabetes Mellitus in Karbala city Iraq. Methods: A cross-sectional research aiming to examine depression symptoms in 200 persons suffering from type 2 diabetes mellitus. Before the interview, each participant gave verbal informed permission. The Patient Health Questionnaire-9 (PHQ-9) was rummage-sale to amount the individual's symptoms of depression. All names were left blank on the surveys. By employing Spearman's rho correlation, depression was found to be connected with tests of liver and kidney function. Results: 200 diabetic patients aged 30-65 showed no significant differences in variables such age, monthly income, duration, social status, medications, and concomitant disease. Significant differences exist between education levels and family history. Mild positive statistically significant association between depression and HbA1c in diabetics versus healthy people. However, FSG, FSI, and HOMA-IR are not significantly different between healthy and diabetic persons (p>0.05). Conclusions: Poor glycemic control in individuals with type 2 diabetes is associated with depression, indicating that early identification is critical for maintaining glycemic control and averting future difficulties. To fully comprehend the effects of depression therapy, more study is required.

An e-mental health intervention to reduce depression symptoms in individuals with obesity: study protocol for the randomized, controlled, two-armed, confirmatory LightMood trial

BackgroundPatients with obesity often experience psychological distress, specifically depression symptoms. Due to various barriers, such as limitations of healthcare offers, digital interventions, for example medical apps, can provide a suitable approach to support affected people. In the envisaged prospective randomized controlled trial, we aim to examine the efficacy of the LightMood intervention. The LightMood intervention is a manualized and user-centered, digital intervention for patients with obesity, with a duration of 4 months, which contains elements of cognitive behavioral therapy and mindfulness-based and skills-based exercises. We expect the LightMood intervention to be superior to treatment as usual (TAU) in terms of reducing depression symptoms.MethodsThe trial incorporates four distinct measurement time points: the baseline assessment, the post-treatment assessment, and 1- and 3-month follow-up assessments. Furthermore, we implemented in-treatment assessments for both groups. Participants will be randomized into two groups (LightMood intervention vs TAU). The aim is to include 128 participants (64 per group) in the study. Inclusion criteria are patients who are obese, at least 18 years old, with a private Internet access, and with adequate digital literacy and show depression symptoms (PHQ ≥ 10). Exclusion criteria are weekly outpatient individual psychotherapy, obesity surgery within the last year or planned within the next 7 months, no private Internet access, and the prescription of a new psychotropic drug within the last 2 weeks. The primary outcome is the post-assessment reduction in depression symptoms. Secondary outcomes will include the improvement in self-efficacy, quality of life, mindfulness, reduction in eating disorder symptoms, and body mass index (BMI). Furthermore, we expect a positive development of depression symptoms throughout the different time points (T1, T2, and T3) in patients with obesity.DiscussionLightMood is an evidence-based, efficient, low-threshold online intervention that aims to reduce depression symptoms in people with obesity. Online interventions could offer a promising alternative to conventional face-to-face therapy. The primary objective of the current study is to add essential insight into the feasibility, efficacy, effectiveness, and acceptance of e-mental health interventions for people with obesity and depression symptoms.Trial registrationGerman Clinical Trial Register (DRKS), DRKS00029219. Registered on May 19, 2023

Correlation of allostatic load and perceived stress with clinical features in first-episode schizophrenia

BackgroundStress plays an important role in the etiology of schizophrenia. However, the mechanisms by which chronic physiological stress and perceived stress relate to the clinical features of schizophrenia may differ. We aimed to elucidate the relationships among chronic physiological stress indexed by allostatic load (AL), perceived stress, and clinical symptoms in individuals with first-episode schizophrenia (FES). MethodsIndividuals with FES (n = 90, mean age = 28.26years old, 49%female) and healthy controls (111, 28.88, 51%) were recruited. We collected data of 13 biological indicators to calculate the AL index, assessed subjective stress with the Perceived Stress Scale-14 (PSS-14), and compared AL and perceived stress between groups. Patients with FES were also evaluated with the Positive and Negative Syndrome Scale (PANSS) and the Calgary Depression Scale for Schizophrenia (CDSS). ResultsIndividuals with FES had higher AL and PSS score than healthy controls. There were no significant correlations between AL and PSS score in either patients or controls. Among individuals with FES, the AL index was associated with the severity of positive symptoms, while the PSS score was positively associated with CDSS score. Both elevated AL and PSS were correlated with the occurrence of schizophrenia. ConclusionsPhysiological stress, as reflected by AL, may be more related to positive symptoms, while perceived stress appear to be associated with depressive symptoms in individuals with FES. Longitudinal studies are necessary to explore the relationships between interventions for different stressor types and specific clinical outcomes in FES.

Traffic-related pollution and symptoms of depression and anxiety among Chinese adults: A population-based study

BackgroundLimited understanding exists regarding the associations of traffic-related pollution with depression and anxiety symptoms in individuals residing within low- and middle-income countries. MethodsData for this study were extracted from the Psychology and Behavior Investigation of Chinese Residents (PBICR) survey, implemented between June 20 and August 31, 2023. We determined residential proximity to major roadways through self-reports and evaluated depression symptoms using the Patient Health Questionnaire-9 (PHQ-9), along with anxiety symptoms assessed through the Generalized Anxiety Disorder-7 (GAD-7). We examined the associations between residential proximity to major roadways and depression and anxiety symptoms using logistic regressions and generalized linear models, while controlling for potential confounding variables. ResultsThis study comprised a total of 22,723 participants. The adjusted odds ratios (OR) for depression symptoms were 1.34 (95 % confidence interval (CI) 1.20, 1.51), 1.29 (95 % CI 1.17, 1.43), 1.34 (95 % CI 1.20, 1.49), and 1.32 (95 % CI 1.17, 1.49) among individuals residing within <50 m, 50–100 m, 101–200 m, and 201–300 m, respectively, in comparison to those residing >300 m from a major roadway. Individuals residing <50 m, 50–100 m, 101–200 m, and 201–300 m from a major roadway exhibited adjusted OR for anxiety symptoms of 1.49 (95 % CI 1.30, 1.69), 1.21 (95 % CI 1.07, 1.37), 1.38 (95 % CI 1.21, 1.56), and 1.38 (95 % CI 1.20, 1.59), respectively, in contrast to those residing >300 m. ConclusionsThis study provides valuable insights into the associations between environmental factors and mental health. The findings underscore the importance of integrating environmental considerations into comprehensive mental health frameworks, especially for individuals residing near high-traffic areas.

The efficacy of integrated transdiagnostic treatment in reducing worry, anxiety, depressive and emotional regulation in patients with generalized anxiety disorder

Introduction: Generalized anxiety disorder (GAD) is a prevalent mental health condition, characterized by an individual’s excessive and persistent worry about various social situations. It is a common problem which can induce numerous physical and mental alterations in the person affected. Aim: The current study aimed to evaluate the efficacy of an integrated transdiagnostic treatment approach in alleviating symptoms of worry, anxiety, and depression and improving emotional regulation in patients diagnosed with GAD. Method: In this semi-experimental study, a pretest-posttest, control group design with a follow-up was employed. The research population consisted of all clients aged 18-51 years with GAD in Sanandaj, Iran, during 2018. The research sample comprised 20 patients diagnosed with GAD based on the criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). These diagnoses were confirmed through structured interviews conducted by a psychiatrist and a clinical psychologist. The samples were selected via convenience sampling and randomly allocated into experimental and control groups. The research utilized several assessment tools, including the Beck Depression Inventory (1961), the Beck Anxiety Inventory (1988), the Pennsylvania Anxiety Inventory (1990), and the Emotional Regulation Inventory (2008). The collected data were analyzed using the analysis of covariance test in SPSS Version 24 software. Results: According to the results, the integrated transdiagnostic treatment had an impact on reducing anxiety and depression. However, it was not effective in alleviating anxiety and improving emotional regulation in patients with GAD (P≤0.001). Conclusion: The integrated transdiagnostic treatment method utilized in this study proved to be effective in alleviating worry and depression in patients diagnosed with GAD. Consequently, it is recommended for use in the therapeutic management of worry and depression symptoms in individuals suffering from GAD.

Investigation of the effect of goal-oriented dance movement therapy on depressive symptoms in people with schizophrenia: a rater-blinded randomised controlled study

Background/Aims Depression is a common symptom in schizophrenia and can negatively affect treatment. The aim of this study was to examine the effects of goal‑oriented dance or movement therapy on depressive symptoms in individuals diagnosed with schizophrenia. Methods The study was designed as a randomised controlled rater‑blinded study, in which 32 individuals diagnosed with schizophrenia were randomly assigned to either the intervention (dance movement therapy) group or control group. The intervention consisted of twice‑weekly goal‑oriented dance movement therapy sessions, with each session lasting approximately 40–50 minutes, for a total of 8 weeks. Depressive symptoms were evaluated using the Calgary Depression Scale for Schizophrenia. Results The depressive symptoms before and after the intervention were compared. No significant differences between groups were observed at baseline. There was no change in the control group, whereas a significant improvement on depressive symptoms was observed in the total Calgary Depression Scale for Schizophrenia score in the dance movement therapy group after the intervention. Conclusions Goal‑oriented dance movement therapy is an effective treatment for the depressive symptoms in schizophrenia patients in addition to conventional treatments. Although the results are favourable, further studies are needed to test its effectiveness. Implications for practice In the traditional treatment of schizophrenia, it is important to evaluate depression and support the treatment with approaches such as dance movement therapy.

Clinical value and mechanistic analysis of HIIT on modulating risk and symptoms of depression: A systematic review

BackgroundThe exact causal mechanisms of depression remain unclear due to the complexity of the triggers, which has led to limitations in treating depression using modern drugs. High-intensity interval training (HIIT) is as effective as medication in treating depression without toxic side effects. Typically, HIIT requires less time commitment (i.e., shorter exercise duration) and exhibits pronounced benefits on depressive symptoms than other forms of physical exercise. This review summarizes the risk reduction and clinical effects of HIIT for depression and discusses the underlying mechanisms, providing a theoretical basis for utilizing HIIT in treating depression. MethodsA database search was conducted in PubMed, Embase, Web of Science, and Scopus from inception up to October 2022. The methodological quality of the included literature was evaluated by the physiotherapy evidence database (PEDro) scale criteria. The review focused on evaluating the changes in depression risk or symptoms of HIIT interventions in healthy individuals, patients with depression, and patients with other disorders co-morbid with depression. Consequently, the mechanisms associated with depression related HIIT were summarized. ResultsA total of 586 participants (52 % female; mean age: 43.58±8.93 years) from 22 studies were included. Implementing HIIT using different exercise types alleviates depressive symptoms in individuals with depression and in individuals with depression who have exhibited comorbidities and reduced depression scale scores in subjects immediately after acute exercise. In addition, the long-interval HIIT and short-interval HIIT in the treatment of patients with cardiovascular or psychiatric disorders may reduce depressive symptoms via complex exercise-related changes on several levels, including by effecting the following measures: releasing monoamines, reducing neuronal death, inducing neurogenesis, modulating the functional homeostasis of the HPA axis, and enhancing the level of inflammation in the body. ConclusionHIIT is a relatively safe and effective antidepressant, which may involve multiple neurobiological mechanisms (release of monoamines, reducing neuronal death, inducing neurogenesis, modulating the functional homeostasis of the HPA axis, and enhancing the level of inflammation in the body), thereby reducing the risk or symptoms of depression in participants.

Association between impulsivity and depressive symptoms in recently detoxified patients with alcohol dependence

Background: Depression and impulsivity are etiologically linked to alcohol dependence (AD) and are known to affect course and outcomes. The relationship between impulsivity and depressive symptoms has been investigated only in a few studies of individuals with AD. Aim: This study aimed to explore the association between impulsivity and depressive symptoms in patients with AD. Materials and Methods: Our study was conducted in the inpatient setup of a tertiary care psychiatry institute. The study design is cross-sectional. The Barratt Impulsiveness Scale (BIS-11) and stop signal task (SST) were used to assess levels of global impulsivity and behavioral impulsivity, respectively, among 60 recently detoxified inpatients with AD. The Hamilton Depression Rating Scale (HAM-D) was used to measure depressive symptoms. The results were analyzed to examine the association of depressive symptoms with impulsivity. Pearson’s coefficient of correlation or Spearman’s rank correlation and linear regression analysis were performed to explore the association between quantitative variables. Results: Patients with higher HAM-D scores were found to have significantly higher score on all three subscales of the BIS-11. The attention impulsivity subscale had the strongest correlations (r = 0.53, P &lt; 0.001). Depressive symptoms were more strongly correlated with cognitive impulsivity (r = 0.54, P&lt; 0.0001) compared with motor impulsivity and were not significantly associated with behavioral impulsivity. Adjusting for other variables, cognitive impulsivity was found to be the strongest predictor of the severity of depressive symptoms. Conclusions: The study showed a strong association between impulsivity and depressive symptoms in individuals with AD. This relationship may apply more to cognitive impulsivity, reflecting the role of impulsive decisions compared with impulsive actions.

Depressive Symptoms and Binge Eating in Children: Examining Symptom Specificity in a Population-based Sample of Male and Female Children

Introduction: Binge eating and compensatory behaviors have significant adverse health implications and are understudied among children. Studies have shown overlap between depressive symptoms and binge eating and compensatory behaviors, but little research has examined sex differences in depressive symptom specificity and binge eating and compensatory behaviors. The present study examined the associations between depressive symptoms and binge eating and compensatory behaviors among male and female children. Methods: Population-based data of 6,975 children ages 9 – 10 years and their caregivers from the multisite Adolescent Brain Cognitive Development (ABCD) study were analyzed. The Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) was utilized to measure binge eating, compensatory behavior, and depressive symptoms. Results: There was an association between presence of anhedonia with increased likelihood of binge eating among females and males. There were no significant associations between individual depressive symptoms and compensatory symptoms among females or males. Lifetime DSM-5 major depressive disorder was associated with binge eating in males and females and compensatory behaviors in females. Discussion: This study provides new knowledge of the specificity of the association between depressive symptoms and binge eating in female compared to male children. Anhedonia may be a key clinical target to reducing binge eating in female and male children.

Understanding of Depressive Symptomatology across Major Depressive Disorder and Bipolar Disorder: A Network Analysis.

Background and Objectives: Depressive symptoms are prominent in both major depressive disorder (MDD) and bipolar disorder (BD). However, comparative research on the network structure of depressive symptoms in these two diagnostic groups has been limited. This study aims to compare the network structure of depressive symptoms in MDD and BD, providing a deeper understanding of the depressive symptomatology of each disorder. Materials and Methods: The Zung Self-Rating Depressive Scale, a 20-item questionnaire, was administered to assess the depressive symptoms in individuals with MDD (n = 322) and BD (n = 516). A network analysis was conducted using exploratory graph analysis (EGA), and the network structure was analyzed using regularized partial correlation models. To validate the dimensionality of the Zung SDS, principal component analysis (PCA) was adopted. Centrality measures of the depressive symptoms within each group were assessed, followed by a network comparison test between the two groups. Results: In both diagnostic groups, the network analysis revealed four distinct categories, aligning closely with the PCA results. "Depressed affect" emerged as the most central symptom in both MDD and BD. Furthermore, non-core symptoms, "Personal devaluation" in MDD and "Confusion" in BD, displayed strong centrality. The network comparison test did not reveal significant differences in the network structure between MDD and BD. Conclusions: The absence of significant differences in the network structures between MDD and BD suggests that the underlying mechanisms of depressive symptoms may be similar across these disorders. The identified central symptoms, including "Depressed affect", in both disorders and the distinct non-core symptoms in each highlight the complexity of the depressive symptomatology. Future research should focus on validating these symptoms as therapeutic targets and incorporate various methodologies, including non-metric dimension reduction techniques or canonical analysis.

The effect of a low-calorie diet on depressive symptoms in individuals with overweight or obesity: a systematic review and meta-analysis of interventional studies.

Individuals with overweight or obesity are at a high risk for so-called 'atypical' or immunometabolic depression, with associated neurovegetative symptoms including overeating, fatigue, weight gain, and a poor metabolic profile evidenced e.g. by dyslipidemia or hyperglycemia. Research has generated preliminary evidence for a low-calorie diet (LCD) in reducing depressive symptoms. The aim of the current systematic review and meta-analysis is to examine this evidence to determine whether a LCD reduces depressive symptoms in people with overweight or obesity. Eligible studies were identified through PubMed, ISI Web of Science, and PsycINFO until August 2023. Standardized mean differences (SMDs) were derived using random-effects meta-analyses for (1) pre-post LCD comparisons of depression outcomes, and (2) LCD v. no-diet-control group comparisons of depression outcomes. A total of 25 studies were included in the pre-post meta-analysis, finding that depression scores were significantly lower following a LCD (SMD = -0.47), which was not significantly moderated by the addition of exercise or behavioral therapy as a non-diet adjunct. Meta-regressions indicated that a higher baseline BMI and greater weight reduction were associated with a greater reduction in depression scores. The intervention-control meta-analysis (n = 4) found that overweight or obese participants adhering to a LCD showed a nominally lower depression score compared with those given no intervention (SMD = -0.29). There is evidence that LCDs may reduce depressive symptoms in people with overweight or obesity in the short term. Future well-controlled intervention studies, including a non-active control group, and longer-term follow-ups, are warranted in order to make more definitive conclusions.

Trajectories of Depressive Individual Symptoms over Time during Transcranial Photobiomodulation

Transcranial photobiomodulation (t-PBM) is an innovative, non-invasive treatment for depression. This study aimed to investigate the changes in individual depressive symptoms during t-PBM treatment and identify the symptoms that improved in those who responded to treatment. The research analyzed data from two trials, the Evaluation of Light-emitting diodes Therapeutic Effect in Depression-2 and -3, focusing on patients with major depressive disorder. The patients received t-PBM treatment on the F3 and F4 regions of the scalp over eight weeks, with symptoms assessed weekly using the Quick Inventory for Depression Symptomatology (QIDS). A response was defined as a 50% or greater reduction in the QIDS score at eight weeks from baseline. Out of the 21 patients analyzed, 4 responded at eight weeks. Neurovegetative symptoms, including sleep disturbances and change in appetite, improved in ≥50% of the patients who had these symptoms at baseline. However, core depressive symptoms, including a depressed mood and lack of energy, persisted in about 80–90% of the patients. The responders showed a more than 75% improvement in these core depressive symptoms. These findings suggest that t-PBM treatment may uniquely alleviate certain neurovegetative symptoms in depression, and the improvement in core depressive symptoms might be linked to a clinical response to this treatment.

Anxiety in the elderly in the context of the COVID-19 pandemic

Anxiety is a complex phenomenon. It involves aversive components in behavioral contingencies and can manifest in both respondent and operant contexts. Anxiety is a common emotion that serves as a warning signal in challenging situations but can become uncontrollable, leading to physical and mental health issues, especially in the elderly. Anxiety disorders are characterized by excessive fear and constant worry, often linked to genetic, environmental, and age-related factors. These disorders can negatively affect the quality of life and increase the risk of suffering and disability, especially in the elderly. Research has shown an inverse relationship between clinical anxiety and the quality of life in older individuals, leading to higher distress levels, functional impairment, and increased healthcare costs. Anxiety is also associated with memory problems in the elderly, further impacting their well-being. The COVID-19 pandemic has highlighted the impact of anxiety on the emotional well-being of the elderly. Social isolation during the pandemic has led to symptoms of depression, loneliness, and anxiety in both young and older individuals. Changes in daily routines, uncertainty about the future, and grief due to loss of loved ones have intensified these emotional responses. The pandemic has exacerbated the immune system's decline in older individuals, further affecting their emotional well-being. Psychosocial consequences of social isolation are not exclusive to the pandemic and have been observed in previous episodes of isolation. The loss of friends or family members of the same age during the pandemic has intensified emotional responses, including sadness, post-traumatic stress syndrome, and persistent grieving symptoms. In conclusion, anxiety is a multifaceted phenomenon that profoundly impacts the physical, mental, and emotional well-being of the elderly. The COVID-19 pandemic has emphasized the importance of addressing anxiety in this population, not only for their immediate well-being but also for the potential long-term consequences. Targeted interventions and support systems are crucial to help the elderly manage and mitigate anxiety effectively.

Art therapy for individuals with autism spectrum disorder and depression: effectiveness and future directions

This paper explores the effectiveness of art therapy as a form of psychotherapy to relieve depressive symptoms in individuals with autism spectrum disorder (ASD). Research has long indicated that individuals with autism are susceptible to developing mental health comorbidities, especially depression. Even though art therapy caters to the special needs of the neurodivergent population, and produces significant mental health benefits, past literature of art therapy and ASD has a primary focus on performance related outcomes. By reviewing relevant studies and research, this paper seeks to shed light on the potential therapeutic effects of art therapy for individuals with autism and comorbid depression. The advantages of art therapy over other common interventions, including cognitive behavioural therapy and mindfulness practices, are also discussed. Given the existing challenges in diagnosing and treating comorbid psychological conditions with ASD, such information is crucial in guiding practitioners to enhance the quality and effectiveness of both existing and future intervention strategies for this disadvantaged population.

Maternal Iron and Vitamin D Status during the Second Trimester Is Associated with Third Trimester Depression Symptoms among Pregnant Participants in the APrON Cohort

BackgroundThe maternal status of multiple micronutrients during pregnancy and postpartum and their potential associations with maternal health outcomes are largely undescribed. ObjectivesThis study aimed to examine associations between maternal iron and vitamin D status, individually and in combination, on depression symptoms in pregnant individuals. MethodsThe Alberta Pregnancy Outcomes and Nutrition cohort study included pregnant participants and their children from Calgary and Edmonton, Canada. Iron biomarkers (serum ferritin [SF], soluble transferrin receptor, and hepcidin) were measured via immunoassays and vitamin D [25-hydroxyvitamin D3 (25(OH)D3) and 3-epi-25-hydoxyvitamin D3 (3-epi-25(OH)D3)] metabolites were quantifed using liquid chromatography with tandem mass spectroscopy. Four categories of maternal iron and vitamin D status during the second trimester were conceptualized using concentrations of SF and total 25-hydoxyvitamin D [25(OH)D], respectively. Maternal Edinburgh Postnatal Depression Scale (EPDS) scores during the third trimester (n = 1920) and 3 mo postpartum (n = 1822) were obtained. ResultsConcentrations of maternal 25(OH)D3, 3-epi-25(OH)D3, and the ratio of both metabolites were significantly higher during the second trimester compared with their status at 3 mo postpartum. Higher second trimester maternal concentrations of SF (β: −0.8; 95% confidence interval [CI]: −1.5, −0.01), hepcidin (β: −0.5; 95% CI: −0.9, −0.2), and 25(OH)D3 (β: −0.01; 95% CI: −0.02, −0.004) predicted lower maternal EPDS scores during the third trimester. Pregnant individuals with a low iron (SF <15 μg/L) and replete vitamin D (25(OH)D ≥75 nmol/L) (β: 1.1; 95% CI: 0.03, 2.1) or low iron (SF <15 μg/L) and vitamin D (25(OH)D <75 nmol/L) (β: 2.2; 95% CI: 0.3, 4.2) status during midpregnancy had higher third trimester EPDS scores compared with those that were replete in both micronutrients. ConclusionsA higher midpregnancy maternal iron and vitamin D status, independently or in combination, predicted fewer maternal depression symptoms in the third trimester. Concentrations of maternal 25(OH)D3 and 3-epi-25(OH)D3 may be lower in the postpartum period compared with midpregnancy.

The effect of crime on mental health in South Africa

AbstractThis paper examines the impact of district‐level crime rates in South Africa on individual depression symptoms. We use panel data from the National Income Dynamics Survey collected between 2008 and 2014 and estimate an individual fixed effects regression model, thus controlling for characteristics of the individual's environment that could affect crime and mental health. We find that an increase of one standard deviation in property (violent) crime is associated with a 7.2 (8.7) percentage point increase in the probability of depression symptoms. Analysis of potential mechanisms suggests that indirect exposure to crime likely affects mental health by increasing stress rather than by changing physical health or labor market outcomes.

Impact of interleukin-1β single nucleotide polymorphisms and depressive symptoms in individuals with chronic viral hepatitis.

Elevated levels of interleukin 1β (IL-1β) have been identified in patients with chronic viral hepatitis and have been associated with depressive symptoms. Given the high prevalence of depression in this patient population, this study sought to explore the potential influence of IL-1β genetic variations on the severity of depressive symptoms. In a cohort of 181 Taiwanese patients with chronic viral hepatitis, we investigated the impact of five common IL-1β single nucleotide polymorphisms (SNPs), including rs16944, rs1143627, rs1143630, rs1143643, and rs3136558, on depressive symptoms using the Beck's Depression Inventory-II. Additionally, we analyzed the primary domains of IL-1β-related depressive symptoms according to Beck's six symptom categories of depression. Our analysis revealed significant associations between depressive symptoms and three intronic IL-1β SNPs. After controlling for age, sex, marital status, and education level, patients with the rs1143630 GG, rs1143643 CC, and rs3136558 AA genotypes demonstrated higher severity of depressive symptoms in the domains of indecision (p = 0.004), agitation (p = 0.001), and feelings of punishment (p = 0.005), respectively, compared to rs1143630 GA+AA, rs1143643 CT, and rs3136558 AG+GG genotypes. According to Beck's categorization, these symptoms can be classified into three dimensions: disturbances in emotion regulation, energy, and cognition. Our findings demonstrate the association between IL-1β polymorphisms and depressive symptoms and suggest a potential underlying mechanism for specific depressive symptoms within the chronic viral hepatitis population. These insights could improve our understanding and treatment of depressive symptoms in individuals with viral hepatitis.

Electroconvulsive therapy improves somatic symptoms before mood in patients with depression: A directed network analysis

BackgroundThe recent network perspective of depression conceptualizes depression as a dynamic network of causally related symptoms, that contrasts with the traditional view of depression as a discrete latent entity that causes all symptoms. Electroconvulsive therapy (ECT) is an effective treatment for severe depression, but little is known about the temporal trajectories of symptom improvement during a course of ECT. ObjectiveTo gain insight into the dynamics of depressive symptoms in individuals treated with ECT. MethodsThe Quick Inventory of Depressive Symptomatology (QIDS) was used to assess symptoms twice a week in 68 participants with a unipolar or bipolar depression treated with ECT, with an average of 12 assessments per participant. Dynamic time warping (DTW) was used to analyze individual time series data, which were subsequently aggregated to calculate a directed symptom network and the in- and out-strength for each symptom. ResultsParticipants had a mean age of 49.6 (SD = 12.8) and 60% were female. Somatic symptoms (e.g., decreased weight) and suicidal ideation showed the highest out-strength values, indicating that their improvement tended to precede improvements in mood symptoms, which showed high in-strength. Sad mood had the highest in-strength, and thus appeared to be the last symptom to improve during ECT treatment (p < 0.001). ConclusionThis study addresses a gap in the existing literature on ECT, by first analysing the temporal trajectories of symptoms within individual patients and subsequently aggregating them to the group level. The results show that somatic symptoms tend to improve before mood symptoms during ECT.

Improving Mild to Moderate Depression With an App-Based Self-Guided Intervention: Protocol for a Randomized Controlled Trial.

Depression is one of the most prevalent mental disorders and frequently co-occurs with other mental disorders. Despite the high direct and indirect costs to both individuals and society, more than 80% of those diagnosed with depression remain with their primary care physician and do not receive specialized treatment. Self-guided digital interventions have been shown to improve depression and, due to their scalability, have a large potential public health impact. Current digital interventions often focus on specific disorders, while recent research suggests that transdiagnostic approaches are more suitable. This paper presents the protocol for a study that aims to assess the efficacy of a self-guided transdiagnostic app-based self-management intervention in patients with mild or moderate depression with and without comorbid mental disorders. Specifically, we are investigating the impact of the intervention on symptoms of depression, quality of life, anxiety symptoms, and mental health-related patient empowerment and self-management skills. The intervention under investigation, MindDoc with Prescription, is a self-guided digital intervention aimed at supporting individuals with mild to moderate mental disorders from the internalizing spectrum, including depression. The app can be used as a low-threshold psychosocial intervention. Up to 570 adult patients will be randomized to either receive the intervention in addition to care as usual or only care as usual. We are including adults with a permanent residency in Germany and mild or moderate depression according to International Classification of Diseases, 10th Revision, criteria (F32.0, F32.1, F33.0, and F33.1). Clinical interviews will be conducted to confirm the diagnosis. Data will be collected at baseline as well as 8 weeks and 6 months after randomization. The primary outcome will be depression symptom severity after 8 weeks. Secondary outcomes will be quality of life, anxiety symptom severity, and patient empowerment and self-management behaviors. Data will be analyzed using multiple imputations, using the intention-to-treat principle, while sensitivity analyses will be based on additional imputation strategies and a per-protocol analysis. Recruitment for the trial started on February 7, 2023, and the first participant was randomized on February 14, 2023. As of September 5, 2023, 275 participants have been included in the trial and 176 have provided the primary outcome. The rate of missing values in the primary outcome is approximately 20%. Data from this efficacy trial will be used to establish whether access to the intervention is associated with an improvement in depression symptoms in individuals diagnosed with mild or moderate depression. The study will contribute to expanding the evidence base on transdiagnostic digital interventions. German Registry of Clinical Trials DRKS00030852; https://drks.de/search/de/trial/DRKS00030852. DERR1-10.2196/46651.

P051 Associations between Chronotype and Symptoms of Depression in Patients attending an Outpatient Sleep Clinic

Abstract Introduction Chronotype (or morningness-eveningness), individuals’ time-of-the-day preference for activity, has been associated with depressive symptoms. This cross-sectional study examined the association between chronotype and symptoms of depression in outpatients attending a sleep disorders clinic. Method The sample included individuals attending an outpatient sleep disorders clinic and provided opt-out consent for their data to be used for research purposes. Individuals included in the analyses provided demographic data, their typical weekly total sleep time (TST), and complete responses prior to treatment on the reduced Morningness-Eveningness Questionnaire (rMEQ; for chronotype), and the PROMIS depression scale. Results A total of 1641 (44.5% female, Mage = 45.20 years, SDage = 16.06 years) participants were included. On average, the sample scored intermediate chronotype (M = 14.73, SD = 4.35) and higher depressive symptom scores that were half a standard deviation higher compared to community norms (M = 55.80, SD = 10.01). Multiple linear regression controlling for age, sex, and TST showed that greater eveningness preferences predicted higher symptoms of depression, p&amp;lt;0.01, explaining 2.76% additional variance in depression scores above that of the covariates. Discussion Overall, sleep clinic outpatients had an intermediate chronotype and above average depressive symptoms. The findings are consistent with existing literature in other populations indicating that eveningness may be a risk factor for greater symptoms of depression. Future studies need to explore whether interventions to alter chronotype may benefit symptoms of depression in individuals with sleep complaints.