Management Of Depression Research Articles

Biopsychosocial factors of depression among community-dwelling geriatric population with low perceived social support; a population-based study

BackgroundAlthough significant and disabling consequences are presented due to geriatric population-related depression, an insufficient comprehension of various biological, psychological, and social factors affecting this issue has been observed. Notably, these factors can contribute to geriatric population-related depression with low social support. This study aimed to identify factors associated with depression among the community-dwelling geriatric population with low social support in Malaysia.MethodsThis study used secondary data from a population-based health survey in Malaysia, namely the National Health Morbidity Survey (NHMS) 2018: Elderly Health. The analysis included 926 community-dwelling geriatric population aged 60 and above with low social support. The primary data collection was from August to October 2018, using face-to-face interviews. This paper reported the analysis of depression as the dependent variable, while various biological, psychological and social factors, guided by established biopsychosocial models, were the independent variables. Multiple logistic regression was applied to identify the factors. Analysis was performed using the complex sampling module in the IBM SPSS version 29.ResultsThe weighted prevalence of depression among the community-dwelling geriatric population aged 60 and above with low social support was 22.5% (95% CI: 17.3–28.7). This was significantly higher than depression among the general geriatric Malaysian population. The factors associated with depression were being single, as compared to those married (aOR 2.010, 95% CI: 1.063–3.803, p: 0.031), having dementia, as opposed to the absence of the disease (aOR 3.717, 95% CI: 1.544–8.888, p: 0.003), and having a visual disability, as compared to regular visions (aOR 3.462, 95% CI: 1.504–7.972, p: 0.004). The analysis also revealed that a one-unit increase in control in life and self-realisation scores were associated with a 32.6% (aOR: 0.674, 95% CI: 0.599–0.759, p < 0.001) and 24.7% (aOR: 0.753, 95% CI: 0.671–0.846, p < 0.001) decrease in the likelihood of developing depression, respectively.ConclusionThis study suggested that conducting depression screenings for the geriatric population with low social support could potentially prevent or improve the management of depression. The outcome could be achieved by considering the identified risk factors while implementing social activities, which enhanced control and self-fulfilment.

Management of Depression and Anxiety in Perioperative Medicine.

This Clinical Focus Review summarizes contemporary best practices, recent clinically relevant research, and pertinent unanswered questions related to perioperative screening and treatment of anxiety and depression.

Systematic Literature Review of the Impact of Dance/exercise Therapy on the Management of Depression

Systematic Literature Review of the Impact of Dance/exercise Therapy on the Management of Depression

Understanding and Addressing Male Postpartum Depression: Incidence, Causes, Diagnosis, and Management Strategies.

Pregnancy-related stress affects not only the woman but also her partner. The issue of postpartum depression in women is increasingly discussed, apart from its occurrence in men, which can develop up to 12 months after giving birth. Risk factors for depression in young fathers are numerous and include hormonal fluctuations, socioeconomic conditions, and co-occurrence of other diseases. Emerging depressive symptoms are nonspecific and can be missed even by experienced medical personnel. Currently, screening tests use questionnaires that do not consider male risk factors. Perhaps the development of more personalized diagnostic methods would enable early identification of men at risk and include preventive measures. The proposed treatment methods of postpartum depression, such as sertraline or cognitive-behavioral therapy, enable patients to recover and provide appropriate support. The disease can cause long-term consequences that negatively affect the development and functioning of the child's psyche. Behavioral disorders and emotional problems are observed in children whose fathers had postpartum depression. Moreover, partner relationships deteriorate and the father-child bond is impaired. Further research should focus on identifying risk factors in men from different social classes, considering environmental, personal, and ethnic characteristics, and on the effectiveness of postpartum depression treatment in men. This article aims to review the incidence, causes, diagnosis, and management of male postpartum depression.

A systematic review on the use of phytotherapy in managing clinical depression

Introduction: The use of medicinal plants in the management of depression, also known as phytotherapy or herbal medicine for depression, is an area of growing interest in the field of mental health and complementary medicine. Methods: This study used a systematic assessment of pertinent literature to assess the effectiveness of medicinal herbs in treating mild to severe depression. A comprehensive literature search was conducted to identify randomized controlled trials (RCTs) that reported data on the intervention, control group, adverse events, outcome measurements, and main findings. A summary and analysis were done on the included research data. Results: We included 23 RCTs investigating the efficacy of herbal medicines, including Crocus sativus, Lavandula angustifolia, Melissa officinalis, and Echium amoenum, in treating depression. In general, saffron showed encouraging outcomes when used to treat mild to severe depression. With no discernible variations in the reported adverse effects, it proved to be equally efficacious as well-known antidepressants like imipramine and fluoxetine. However, it is noteworthy that not all trials yielded favorable results. Conclusion: More investigation is required to fully understand the mechanisms of action, ideal dosage schedules, long-term effects, and relative efficacy of medicinal plants in depressive treatment.

Potential Herbal Remedies for Treatment of Depression: A Mini Review

Background:: Depression is a psychiatric and mood disorder that impacts a person's mental health and behavior and is frequently linked to suicide. As per the World Health Organization's estimate, depressive disorder will be the main cause of mental disorders by the year 2030, and it has a huge impact on the burden of disease in the world. To treat depression, there are pharmacological and nonpharmacological therapy alternatives. With little to no consideration of other neurochemicals altered in depression, most antidepressant preparations are based on the monoamines, neuroendocrine, and neuro-inflammation concepts. Objective:: The present study aims to provide comprehensive data related to depression, the factors associated, the mechanism involved, herbal plants effective for managing depression, and novel formulations along with patents and clinical trials. Methods:: A thorough assessment of herbs and novel formulations that have been proven effective in treating depression was conducted. After extensive review, the present study includes a mechanism of action of herbal plants showing antidepressant effects, novel formulations, patents, and clinical trials related to depression. Results:: Numerous studies reported that diverse herbal plants have been found to have a positive effect on depression management, such as Panax ginseng, Melissa officinalis, Piper methysticum, Schinus molle L, Kielmeyera coriacea Mart, Elaeocarpus ganitrus, Hypericum perforatum, Lavandula angustifolia Mill, Crocus Sativus L. Conclusion:: Herbal plant research could help establish the potential of isolated compounds from plants with medicinal properties for managing depressive illnesses.

Cariprazine Augmentation in Treatment-Resistant Bipolar Depression: Data from a Retrospective Observational Study.

Treatment-resistant bipolar depression is one of the leading problems in psychiatry with serious consequences on patients functioning, quality of life and resource utilization. Despite this, there is a lack of consensus on diagnostic criteria and treatment algorithms. The objective of the present study is to assess the acute effectiveness and tolerability of cariprazine in the management of treatment resistant bipolar depression. This is a four weeks retrospective multicentric observational study on patients with treatment resistant bipolar depression receiving cariprazine in augmentation to the current treatment. Cariprazine dosage changed during the follow-up period according to clinical judgment. Since data followed a non-normal distribution, non-parametric tests were used to pursue the analysis. The effectiveness of cariprazine was assessed through the mean change in Hamilton Depression rating scale (HAM-D) scores from baseline to endpoint. For missing values, a "Last Observation Carried Forward" approach was applied. Fifty-one patients were enrolled. Four patients (7.8%) discontinued cariprazine mainly due to adverse events. Mean cariprazine dose was 1.7 mg/day. The mean HAM-D score decreased significantly from baseline (T0) to week 4 (T4) at each evaluation point. Fourty-five one percent of the patients benefited of cariprazine add-on strategy: 23.5% achieved a clinical response and 21.6% were remitters. Among the completers, 70.6% experienced at least one adverse event. All side effects were mild to moderate. Cariprazine seems to be an effective and well tolerated option in the management of patients with treatment resistant bipolar depression.

Coping Techniques and Family Empowerment in Lowering Diabetes Distress, Depression, and Personal Care Management Among Individuals Having Diabetes Type 2 Kahuripan Health Centre Working Area, Tasikmalaya City

Coping Techniques and Family Empowerment in Lowering Diabetes Distress, Depression, and Personal Care Management Among Individuals Having Diabetes Type 2 Kahuripan Health Centre Working Area, Tasikmalaya City

Do we need a more individualised approach to the management of comorbid depression and diabetes?

SUMMARYDiabetes and depression have a bidirectional relationship, but some antidepressants (such as the tricyclics) may have detrimental effects in diabetes that are exacerbated by behavioural changes associated with depression. This month's Cochrane Review evaluated the efficacy of psychological and pharmacological treatments of comorbid depression in diabetes and found that such interventions have a moderate and clinically significant effect on depression outcomes in people with diabetes. However, conclusions were limited by significant heterogeneity within examined populations and interventions, and significant risk of bias within trials. This commentary critically appraises the review and aims to contextualise its findings.

Regional gray matter changes in steatotic liver disease provide a neurobiological link to depression: A cross-sectional UK Biobank cohort study

BackgroundSteatotic liver disease (SLD) is characterized by excessive accumulation of lipids in the liver. It is associated with elevated risk of hepatic and cardiometabolic diseases, as well as mental disorders such as depression. Previous studies revealed global gray matter reduction in SLD. To investigate a possible shared neurobiology with depression, we examined liver fat-related regional gray matter alterations in SLD and its most significant clinical subgroup metabolic dysfunction-associated steatotic liver disease (MASLD). MethodsWe analyzed regional cortical thickness and area obtained from brain MRI in 29,051 participants in UK Biobank. Liver fat amount was computed as proton density fat fraction (PDFF) from liver MRI scans. We examined the relationship between brain structure and PDFF, adjusting for sociodemographic, physical, lifestyle, and environmental factors, as well as alcohol intake and a spectrum of cardiometabolic covariates. Finally, we compared patterns of brain alterations in SLD/MASLD and major depressive disorder (MDD) using previously published results. ResultsPDFF-related gray matter alterations were region-specific, involving both increases and decreases in cortical thickness, and increased cortical area. In several regions, PDFF effects on gray matter could also be attributed to cardiometabolic covariates. However, PDFF was consistently associated with lower cortical thickness in middle and superior temporal regions and higher cortical thickness in pericalcarine and right frontal pole regions. PDFF-related alterations for the SLD and the MASLD group correlated with those observed in MDD (Pearson r = 0.45–0.54, p < 0.01). ConclusionThese findings suggest the presence of shared biological mechanisms linking MDD to SLD and MASLD. They might explain the well-known elevated risk of depression in these groups and support early lifestyle interventions and treatment of metabolic risk factors for the successful management of the interconnected diseases depression and SLD/MASLD.

Harnessing Data Analytics for Enhanced Understanding and Management of Depression Disorders in Mental Health Care

Depression is a widespread and incapacitating mental health condition that affects millions of people around the world.The integration of data analytics into mental health care presents a transformative opportunity to enhance the understanding, diagnosis, and management of depression. This paper explores the application of data analytics in identifying patterns and trends from diverse data sources such as electronic health records (EHRs) and social media. Through advanced techniques including machine learning, natural language processing (NLP), and predictive modeling, data analytics facilitates early detection of depressive symptoms, the development of personalized treatment plans, and continuous patient monitoring. Additionally, the aggregation and analysis of large- scale data provide valuable insights for public health strategies aimed at reducing the prevalence and impact of depression. This paper highlights the critical role of interdisciplinary collaboration in leveraging data analytics to improve mental health outcomes and underscores the importance of robust safeguards to ensure patient confidentiality and trust. Keywords Data Analytics, Depression, Mental Health, Predictive Modeling, Machine Learning, Natural Language Processing, Electronic Health Records

A systematic literature review of the impact of music therapy on the management of depression in patients with chronic diseases

A systematic literature review of the impact of music therapy on the management of depression in patients with chronic diseases

Leveraging Medical Knowledge Graphs and Large Language Models for Enhanced Mental Disorder Information Extraction

The accurate diagnosis and effective treatment of mental health disorders such as depression remain challenging owing to the complex underlying causes and varied symptomatology. Traditional information extraction methods struggle to adapt to evolving diagnostic criteria such as the Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) and to contextualize rich patient data effectively. This study proposes a novel approach for enhancing information extraction from mental health data by integrating medical knowledge graphs and large language models (LLMs). Our method leverages the structured organization of knowledge graphs specifically designed for the rich domain of mental health, combined with the powerful predictive capabilities and zero-shot learning abilities of LLMs. This research enhances the quality of knowledge graphs through entity linking and demonstrates superiority over traditional information extraction techniques, making a significant contribution to the field of mental health. It enables a more fine-grained analysis of the data and the development of new applications. Our approach redefines the manner in which mental health data are extracted and utilized. By integrating these insights with existing healthcare applications, the groundwork is laid for the development of real-time patient monitoring systems. The performance evaluation of this knowledge graph highlights its effectiveness and reliability, indicating significant advancements in automating medical data processing and depression management.

Conceptual Framework for the Psychosocial Management of Depression in Adolescents in the North West Province, South Africa

Background A conceptual framework is imperative in the understanding of the psychosocial management of depression in adolescents, owing to the ability to effectively present and demonstrate the linking of concepts for an in-depth understanding of the phenomenon. Objectives This study aims To develop and validate a conceptual framework for the psychosocial management of depression in adolescents in the North West Province, South Africa. Methods A qualitative, exploratory, descriptive, contextual research design was followed in two phases: the empirical phase (phase 1) and the development of a conceptual framework phase (phase 2). Phase 1 consisted of two steps: firstly, a systematic review (referred to as step 1), followed by qualitative, exploratory, descriptive, and contextual research (referred to as step 2). The outcomes from the empirical phase served as the foundation for developing a conceptual framework for the psychosocial management of depression in adolescents, North West Province, South Africa. In Phase 2, the development of this conceptual framework was guided by addressing the six crucial questions introduced by Dickoff et al. (1968) regarding Practical Orientation and validated by Chinn and Kramer’s five criteria questions. Results The conceptual framework focused on mental health practitioners, immediate and extended family members of adolescents, social workers, psychologists and peer groups of adolescents, adolescents diagnosed with depression, mental health institutions, homes of adolescents, schools, religious institutions, and communities. Conclusion The conceptual framework for the psychosocial management of depression in adolescents provides comprehensive insights capable of enhancing the recovery process for adolescents dealing with depression. Implementing this conceptual framework has the potential to enhance professional practice, elevate the quality of care provided, and contribute to expanding the body of knowledge within the field of mental health.

Screening for depression in chronic haemodialysis patients as a part of care in dialysis setting: a cross-sectional study.

Depressive disorder is common among haemodialysis patients. The purpose of this study was to explore approaches to diagnosing depression in the context of a real-life setting, with the view of creating practical recommendations. It also aimed to evaluate the prevalence of depression and dementia. We conducted a cross-sectional study in two Dialysis Centres in Poland. Cognitive functions were evaluated using Mini-Mental State Examination (MMSE). The screening for depressive symptoms was assessed using Beck Depression Inventory II (BDI-II). The diagnosis of major depressive disorder was confirmed by a psychiatrist using Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). Sociodemographic and clinical data were also collected. Initially, 136 patients agreed to participate in the study. Dementia was found in 13% of the study group. Sixty-two patients did not agree to perform all the proposed tests and were not included in the analysis, which eventually consisted of 70 patients. According to BDI-II, depressive symptoms were present in 35.7% of patients, while the diagnosis of major depressive disorder (MDD) was confirmed by the psychiatrist in 25.7%. According to the ROC analysis the optimal cut-off score for diagnosing MDD using BDI-II was ≥13 points. This study suggests that the regular screening for depressive symptoms, followed by a psychiatric consultation in selected patients, might improve diagnosing depression with the goal of achieving a higher quality of life and a lower mortality rate. It may also be a cost-effective model for the management of depression among the haemodialysis population.

The Efficacy of Bibliotherapy in Depression Management: A Systematic Review of Randomized Clinical Trials

&lt;p&gt; Aim: This systematic review critically evaluates the efficacy of bibliotherapy in addressing mental health concerns across various populations and intervention modalities. &lt;/p&gt; &lt;p&gt; Methods: A comprehensive bibliographic search was conducted, identifying 20 articles from databases PubMed, Scopus, and Google Scholar, representing studies published in English between 1990 and 2022. The selected randomized clinical trials were subjected to rigorous evaluation using Cochrane's Risk of Bias tool to assess methodological quality. Inclusion criteria focused on RCTs examining bibliotherapy programs for depression treatment. The selected studies were analyzed based on their comparison of bibliotherapy outcomes with standard treatments or no intervention. Follow-up periods ranging from 2 weeks to 3 years were considered. &lt;/p&gt; &lt;p&gt; Results: Out of 413 retrieved results, 20 articles were included, reporting 3354 subjects. The methodological quality of the studies, assessed using Cochrane's Risk of Bias tool, was found to be sound. Bibliotherapy demonstrated significant improvements in depressive symptoms in older patients as studied in 3 long-term bibliotherapy RCTs and 7 shortterm bibliotherapy RCTs. In young patients, 3 long-term bibliotherapy RCTs have shown significant improvement in depressive symptoms over 6 months to 2 years, whereas 7 short-term bibliotherapy RCTs also showed significant improvement within a brief timeframe. The review explores bibliotherapy's efficacy in managing occupational stress and its potential as a therapy for depression in populations with chronic physical illnesses. &lt;/p&gt; &lt;p&gt; Conclusion: The findings imply that bibliotherapy could serve as an affordable and prompt intervention, potentially reducing the need for additional medications. However, the study emphasizes the importance of further research to strengthen the evidence base, particularly in diverse populations and settings.&lt;/p&gt;

Biomarkers in the Diagnosis and Prediction of Medication Response in Depression and the Role of Nutraceuticals.

Depression continues to be a significant and growing public health concern. In clinical practice, it involves a clinical diagnosis. There is currently no defined or agreed upon biomarker/s for depression that can be readily tested. A biomarker is defined as a biological indicator of normal physiological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention that can be objectively measured and evaluated. Thus, as there is no such marker for depression, there is no objective measure of depression in clinical practice. The discovery of such a biomarker/s would greatly assist clinical practice and potentially lead to an earlier diagnosis of depression and therefore treatment. A biomarker for depression may also assist in determining response to medication. This is of particular importance as not all patients prescribed with medication will respond, which is referred to as medication resistance. The advent of pharmacogenomics in recent years holds promise to target treatment in depression, particularly in cases of medication resistance. The role of pharmacogenomics in routine depression management within clinical practice remains to be fully established. Equally so, the use of pharmaceutical grade nutrients known as nutraceuticals in the treatment of depression in the clinical practice setting is largely unknown, albeit frequently self-prescribed by patients. Whether nutraceuticals have a role in not only depression treatment but also in potentially modifying the biomarkers of depression has yet to be proven. The aim of this review is to highlight the potential biomarkers for the diagnosis, prediction, and medication response of depression.

Preliminary study on cytotoxicity of selegiline on different cancer cell lines: exploration of the induction of ROS-independent apoptosis in breast cancer cells.

The concept of drug repurposing is now widely utilized by biomedical scientists for drug discovery. An example of this is the use of selegiline (SEL), a monoamine oxidase inhibitor that was initially used for the management of depression but is now being considered for another purpose. This study compares the cytotoxic effects of SEL on different cancer cells. Further, the study explores the molecular mechanism of cell death, validating the possibility of its repurposing for cancer. Preliminary analysis of network pharmacological data was conducted in silico, followed by in vitro cytotoxicity tests on PC12, G361, MDA-MB231, MCF7, THP-1, and Hela cells under normoxic and hypoxic conditions, using the MTT assay. The mechanism of cell death was then confirmed by performing DAPI and FITC-conjugated Annexin V and Propidium Iodide (PI) staining assays. Additionally, ROS levels and PKC phosphorylation were also evaluated. In silico analysis has revealed that SEL is associated with ten genes linked to different cancer types. Specifically, SEL was most cytotoxic to neuronal pheochromocytoma, triple-negative human epithelial breast cancer cells, and ER+ and PR+ breast cancer cells. Furthermore, it was observed that this cell death occurred through ROS-independent apoptosis pathways. In addition, SEL was found to inhibit the phosphorylation of PKC, which may contribute to cell death. SEL induces apoptosis in breast cancer cells independently of reactive oxygen species and inhibits the phosphorylation of protein kinase C, which merits further exploration.

Assessment of depression in children and adolescents with Type 1 diabetes mellitus: Impact and intervention strategies.

Depression is a common comorbidity in children and adolescents with type 1 diabetes mellitus (T1DM), yet its prevalence, impact, and intervention strategies remain underexplored. This study aims to assess the prevalence of depression among children and adolescents with T1DM, investigate its impact on health outcomes, and explore potential intervention strategies. A convenient sampling method was employed to recruit 229 participants aged 6 to 18 years from a single center. Data collection involved validated assessments, demographic surveys, and diabetes-related factor examinations during routine clinic visits. The patient health questionnaire-9 was utilized to evaluate the severity of depressive symptoms. Associations between depression and sociodemographic variables, diabetes management factors, and health behaviors were analyzed using chi-squared tests and logistic regression analysis. The prevalence of depression among participants was 43.23%. Older age, lower parental education levels, lower household income, smoking, and comorbidities were identified as significant risk factors for depression. Associations were found between depression and diabetes management factors, including glycemic control and frequency of glucose monitoring. Depression is highly prevalent among children and adolescents with T1DM and is associated with sociodemographic factors, health behaviors, and diabetes management. Integrated approaches to care that address both physical and mental health aspects are crucial for improving outcomes in this population.

Intranasal bilosomes in thermosensitive hydrogel: advancing desvenlafaxine succinate delivery for depression management

Depression, the second biggest cause of disability worldwide, is widespread. Many antidepressant medications, including Desvenlafaxine Succinate (D.V.S.), function by elevating neurotransmitter levels at the synapse through the inhibition of reabsorption by neurons. However, the effectiveness of these treatments is often limited by their inability to reach the brain using conventional administration methods. Bilosome-stabilized nanovesicles containing bile salts have drawn much interest because of their adaptability and versatility in various applications. This study aimed to address this issue by formulating intranasal bilosomes incorporated into a mucoadhesive in situ gel to deliver D.V.S. directly to the brain for depression treatment. The desvenlafaxine-loaded bilosomes were developed using a thin film hydration method based on the l-optimal design. They were intended to provide a more convenient route of administration for antidepressants, enhancing bioavailability and brain targeting through intranasal delivery. The study assessed the optimized bilosomes for particle size (311.21 ± 0.42 nm), Zeta potential (–37.35 ± 0.43)and encapsulation efficiency (99.53 ± 0.41%) and further evaluated them in ex vivo and in vivo pharmacokinetics studies. Pharmacokinetic data reveal enhanced brain uptake compared to a free drug. A statistically optimized bilosome formulation was determined. The intranasal administration of mucoadhesive in situ gel containing desvenlafaxine succinate-loaded bilosomes facilitated direct nose-to-brain drug delivery, improving brain bioavailability.