Persistent Feelings Of Sadness Research Articles

Dyslipidemia among psychiatric patients with depression – common possible reasons and treatment implications – review

Dyslipidemia is a medical term used to describe an abnormal level of lipids (fats) in the blood. This can include elevated levels of total cholesterol, low-density lipoprotein (LDL) cholesterol, high density protein lipoprotein (HDL) cholesterol and serum triglicerides. Depression, also known as depressive disorder, is a common mental illness. It is characterized by a persistent feeling of sadness, loss of pleasure, or lack of interest in activities that are present of at least two weeks and significantly impair patient everyday functioning. Dyslipidemia and depression can co-occur due to a complex interplay of shared risk factors, such as inflammation, metabolic syndrome, medication side effects, and lifestyle changes, suggesting a bidirectional relationship where each condition might contribute to the development or exacerbation of the other. Given these considerations, a comprehensive approach to managing dyslipidemia in psychiatric patients with depression is essential. This should include regular monitoring of lipid profiles and monitoring of anticholesterol and antidepressant drugs. Interestingly, simple lifestyle changes, such as a healthy diet and exercise, have an impact on the treatment of depression and dyslipidemia.

Spatio-temporal features based deep learning model for depression detection using two electrodes

Deep learning has made significant contributions to the medical field and has shown great potential in various applications. Its ability to process vast amounts of data and extraction of patterns has enabled breakthroughs in medical research, diagnosis and treatment. The application of deep learning plays a vital role in depression detection. Depression is a neurological disorder characterized by persistent feelings of sadness, hopelessness and a lack of interest. The prevalence of depression is a significant factor contributing to the rise in suicide cases on a global scale. The electroencephalogram (EEG) is a non-invasive technique used to detect depression. It records brain activity using multiple electrodes. The number of EEG electrodes used for measurement directly affects the instrumentation and measurement complexity of the experiment. The present manuscript proposes a deep learning model for depression detection, focusing on two electrodes named FP1 and FP2. The purpose of employing two electrodes is to enhance the system’s portability while reducing data acquisition time and system cost. EEG is spatio-temporal data and possesses inherent spatial and temporal features. The present manuscript proposes a methodology for extracting temporal and spatial features. The temporal feature extraction module extracts temporal features in the time domain and the spatial module extracts spatial features in the spatial domain. This manuscript presents a study on the applicability of two electrodes for depression detection. This research can enhance accessibility, user-friendliness and easier data collection and analysis. The proposed deep learning model is evaluated on two benchmark datasets. It achieves 93.41% classification accuracy, 92.54% precision, 93.23% recall, 93.06% F1 score and 97.80% area under the curve (AUC) for Hospital University Sains Malaysia dataset and for Multi-modal Open Dataset for Mental-disorder Analysis dataset it achieves 79.40% accuracy, 81.18% precision, 67.73% recall, 73.80% F1 score and 85.66% AUC.

Inulae Flos has Anti-Depressive Effects by Suppressing Neuroinflammation and Recovering Dysfunction of HPA-axis.

Depression is a debilitating mood disorder that causes persistent feelings of sadness, emptiness, and a loss of joy. However, the clinical efficacy of representative drugs for depression, such as selective serotonin reuptake inhibitors, remains controversial. Therefore, there is an urgent need for more effective therapies to treat depression. Neuroinflammation and the hypothalamic-pituitary-adrenal (HPA) axis are pivotal factors in depression. Inulae Flos (IF), the flower of Inula japonica Thunb, is known for its antioxidant and anti-inflammatory effects. This study explored whether IF alleviates depression in both in vitro and in vivo models. For in vitro studies, we treated BV2 and PC12 cells damaged by lipopolysaccharides or corticosterone (CORT) with IF to investigate the mechanisms of depression. For in vivo studies, C57BL/6 mice were exposed to chronic restraint stress and were administered IF at doses of 0, 100, and 300mg/kg for 2 weeks. IF inhibited pro-inflammatory mediators, such as nitric oxide, inducible nitric oxide synthase, and interleukins in BV2 cells. Moreover, IF increased the viability of CORT-damaged PC12 cells by modulating protein kinase B, a mammalian target of the rapamycin pathway. Behavioral assessments demonstrated that IF reduced depression-like behaviors in mice. We found that IF reduced the activation of microglia and astrocytes, and regulated synapse plasticity in the mice brains. Furthermore, IF lowered elevated CORT levels in the plasma and restored glucocorticoid receptor expression in the hypothalamus. Collectively, these findings suggest that IF can alleviate depression by mitigating neuroinflammation and recovering dysfunction of the HPA-axis.

A REVIEW ARTICLE ON DEPRESSION WITH SPECIAL REFERENCE TO KAPHAJA UNMADA

Depression, a prevalent mental disorder, is characterised by symptoms such as a persistent feeling of sadness, diminished interest or enjoyment, self-perceived guilt or low self-esteem, disrupted sleep patterns or appetite, decreased energy levels, and difficulties with concentration. Despite advances in diagnostics and therapeutics, depression is quickly becoming a public health crisis. At the height of the COVID-19 pandemic, the prevalence of depression shows a sharp rise. Mind encroaches on physical health through our behaviour and body chemistry. Manasa Vikara is considered an abnormal mental condition characterized by impairment of cognitive functions. The most elaborately dealt Mano Vyadhi in Ayurveda is Unmada. The symptoms caused by the aggravated dosas that spread to the higher channels of the body resemble intoxication and are classified as "Unmada." A broad spectrum of diseases is included under Unmada by various Acharyas. In the Ayurvedic perspective, Depression can be explained under Kaphaja Unmada.

Erbal Alternatives for Managing Depression: Mechanisms and Efficacy

Depressive disorder, commonly known as depression, is a prevalent and often debilitating mental health condition. It is characterized by persistent feelings of sadness, hopelessness, and a loss of interest or pleasure in daily activities. Depression is a leading cause of disability in adults, with treatment options primarily consisting of psychotherapy and pharmaceutical interventions. However, the adverse effects associated with conventional antidepressants can lead to treatment non-adherence in a significant proportion of patients. This paper reviews the symptoms, pathophysiology, diagnosis, and standard treatments for depression, including various classes of antidepressant medications and their associated adverse events. It highlights the urgent need for alternative therapies, particularly in cases where conventional treatment proves ineffective. In recent years, herbal medicines have gained attention as potential options for managing depression. This review explores the therapeutic agents used in the treatment of depression, such as curcumin, carvacrol, resveratrol, ferulic acid, and proanthocyanins. These natural compounds have demonstrated promising antidepressant effects in preclinical studies, with mechanisms of action involving the regulation of the HPA axis, modulation of monoamine neurotransmitters, and promotion of neurogenesis and neurotropic factors. The paper discusses the bioavailability and absorption challenges of these herbal compounds and proposes innovative delivery methods to enhance their effectiveness. For instance, buccal delivery has shown promise in increasing the absorption of resveratrol, improving its bioavailability. In conclusion, this review emphasizes the growing body of scientific evidence supporting the use of herbal alternatives in managing depression. These phytochemicals offer potential benefits in addressing depressive symptoms through multiple mechanisms, including neuroprotection and neurogenesis. As research in this field continues to evolve, herbal treatments may provide a valuable adjunct or alternative to traditional therapies for individuals struggling with depression, particularly in cases of treatment resistance or intolerance to standard medications.

The dynamic interaction between symptoms and pharmacological treatment in patients with major depressive disorder: the role of network intervention analysis

IntroductionThe Major Depressive Disorder (MDD) is a mental health disorder that affects millions of people worldwide. It is characterized by persistent feelings of sadness, hopelessness, and a loss of interest in activities that were once enjoyable. MDD is a major public health concern and is the leading cause of disability, morbidity, institutionalization, and excess mortality, conferring high suicide risk. Pharmacological treatment with Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin Noradrenaline Reuptake Inhibitors (SNRIs) is often the first choice for their efficacy and tolerability profile. However, a significant percentage of depressive individuals do not achieve remission even after an adequate trial of pharmacotherapy, a condition known as treatment-resistant depression (TRD).MethodsTo better understand the complexity of clinical phenotypes in MDD we propose Network Intervention Analysis (NIA) that can help health psychology in the detection of risky behaviors, in the primary and/or secondary prevention, as well as to monitor the treatment and verify its effectiveness. The paper aims to identify the interaction and changes in network nodes and connections of 14 continuous variables with nodes identified as "Treatment" in a cohort of MDD patients recruited for their recent history of partial response to antidepressant drugs. The study analyzed the network of MDD patients at baseline and after 12 weeks of drug treatment.ResultsAt baseline, the network showed separate dimensions for cognitive and psychosocial-affective symptoms, with cognitive symptoms strongly affecting psychosocial functioning. The MoCA tool was identified as a potential psychometric tool for evaluating cognitive deficits and monitoring treatment response. After drug treatment, the network showed less interconnection between nodes, indicating greater stability, with antidepressants taking a central role in driving the network. Affective symptoms improved at follow-up, with the highest predictability for HDRS and BDI-II nodes being connected to the Antidepressants node.ConclusionNIA allows us to understand not only what symptoms enhance after pharmacological treatment, but especially the role it plays within the network and with which nodes it has stronger connections.

Self-esteem and optimism in patients with major depression disorder: a cross-sectional study.

Depressive disorders are common mental illnesses characterized by persistent feelings of sadness, hopelessness, and loss of interest in activities. Self-esteem refers to the appraisal of one's worth and personality, whereas optimism reflects a positive attitude and the expectation of positive outcomes. Therefore, the present study aims to determine the average self-esteem and optimism of patients with depression in 2022. The present study is a single center and prospective descriptive-analytical study in which 121 patients out of 154 participants with major depression using convenience sampling were studied. Recruitment started on 10 June 2022 and ended on 12 July 2022. Data were collected using a demographic questionnaire, the Rosenberg Self-Esteem Scale (RSES), and the Revised Life Orientation Test (LOT -R). Data analysis was performed using statistical tests and the Pearson correlation coefficient with SPSS software version 21. The mean and SD of patients' self-esteem scores were 14.68±1.30, and the mean and SD for optimism scores were 9.90±1.68. Pearson correlation analysis showed that educational level had a significant inverse relationship with patients' self-esteem scores (r=-0.009, P=0.03), and sex had a significant relationship with patients' optimism scores (r=0.175, P=0.008). Considering the importance of self-esteem and optimism in the recovery and return to society of patients with major depression, it is necessary to take measures to strengthen and increase self-esteem and optimism in these patients.

Changes in neurotrophic signaling pathways in brain areas of the chronic mild stress rat model of depression as a signature of ketamine fast antidepressant response/non-response

Major Depressive Disorder (MDD) is a highly debilitating disorder characterized by a persistent feeling of sadness and anhedonia. Traditional antidepressants have a delayed onset of action and lack of efficacy in up to one third of patients, leading to treatment resistant depression (TRD). Recent years have witnessed a revolutionary treatment of TRD with the introduction of the fast-acting antidepressant ketamine. However, ketamine's mechanisms of action are still poorly understood. Here, we used the chronic mild stress animal model of depression on male rats to investigate the involvement of neurotrophic signaling pathways in stress vulnerability/resilience and fast antidepressant response/non-response to acute subanesthetic ketamine. We performed our analysis on both the hippocampus and the prefrontal cortex, two brain areas implicated in stress-related disorders, considering different subcellular fractions. We measured the activation by phosphorylation of protein kinase B (AKT), extracellular signal-regulated kinases (ERKs), glycogen synthase kinase-3 beta (GSK3 β), mammalian target of rapamycin (mTOR), and eukaryotic elongation factor 2 (eEF2), key effectors in the regulation of neuroplasticity and glutamatergic transmission which were previously associated to ketamine's fast antidepressant effect. We showed here for the first time that both stress and ketamine induced brain area and subcellular fraction specific changes in these pathways. Our study represents the first attempt to identify molecular mechanisms underlying the response/non-response to ketamine in an animal model of depression. This approach could give a crucial contribution to the study of etiopathogenetic mechanisms as well as to the identification of novel targets for the development of innovative therapeutic strategies.

Perkembangan Terkini Perilaku Bunuh Diri pada Orang dengan Depresi

Abstract: Suicide is one of the leading causes of injury and death worldwide. Suicide is the fourth most common cause of death among young people worldwide. Suicidal behavior is caused by a complex interaction of several risk factors. One of the most common risk factors is psychiatric disorders, especially in people with depression. Depressive conditions are described as mood disorders that cause persistent feelings of sadness and loss of interest that can affect daily life and trigger suicidal thoughts. Several efforts can be made to treat depression and suicide prevention, starting with screening, pharmacological treatment, and non-pharmacological. However, there has been no significant effect in reducing the incidence of suicide. This is because the association of suicidal behavior in individuals with depression is not only caused by a simple etiology but is the result of a complex interactionof various factors.

Depression, anxiety and quality of life of Afghan women living in urban areas under the Taliban government: a cross-sectional study

ObjectivesAccording to the World Health Organization, depression is a common mental health illness that is characterised by a persistent feeling of sadness and loss of interest. The present study examined...

Targeting Mitochondrial Homeostasis: The Role of Acupuncture in Depression Treatment.

Depression is a common mental health disorder characterized by persistent feelings of sadness, loss of interest or pleasure, and a range of physical and cognitive symptoms. It affects people of all ages and can significantly impact their daily functioning and quality of life. Mitochondrial homeostasis plays an important role in the pathogenesis of depression. Mitochondrial homeostasis includes mitophagy, mitochondrial oxidative stress, mitoptosis, mitochondrial biogenesis, and mitochondrial dynamics. The regulation of mitochondrial homeostasis is the key link in the prevention and treatment of depression. In this article, we focus on the core link of depression-mitochondrial homeostasis and summarize the research progress of acupuncture targeting mitochondrial homeostasis in the treatment of depression in recent years, so as to provide ideas and experimental basis for the research and formulation of more appropriate depression treatment strategies. Acupuncture has been found to regulate mitochondrial homeostasis (by modulating mitochondrial autophagy, reducing mitochondrial oxidative stress, inhibiting mitochondrial fission, inducing mitochondrial biogenesis, and maintaining mitochondrial dynamics), alleviate depression-like behavior, and regulate signal pathways and key proteins. Here, we highlight the role of acupuncture in the treatment of depression. A comprehensive exploration of the impact of acupuncture on mitochondrial homeostasis could potentially present a novel mechanism for treating depression and offer fresh perspectives for the treatment of patients with clinical depression.

A comparative overview of SSRI-sertraline and SNRI-desvenlafaxine

Depression is a mood disorder that causes a persistent feeling of sadness and loss of interest. The common features of all the depressive disorders are sadness, emptiness, or irritable mood, accompanied by somatic and cognitive changes that significantly affect the individual’s capacity to function. Depression is commonly treated in primary care, and SSRI drugs are frequently used as the first line of treatment. Selective Serotonin Reuptake Inhibitors (SSRIs) have the advantage of the ease of dosing and low toxicity in overdose. They are also the first-line medications for late-onset depression. Selective Serotonin and Norepinephrine Reuptake Inhibitors (SNRIs), which include venlafaxine, desvenlafaxine, duloxetine, and levomilnacipran can be used as first-line agents, particularly in patients with significant fatigue or pain syndromes associated with the episode of depression. SNRIs also have an important role as second-line agents in patients who have not responded to SSRIs. The pharmacokinetics, pharmacodynamics, uses, side effects, and contraindications of desvenlafaxine, an SNRI, and sertraline, an SSRI are compared in this article.

Correlates of adolescent sole-, dual- and poly-use of cannabis, vaped nicotine, and combusted tobacco

BackgroundCompared to single substance use, adolescents’ use of multiple substances is associated with more severe dependence, cessation outcomes, and health risks. This study examined correlates of use and co-use of e-cigarettes, combusted tobacco, and cannabis among high school-aged (9th-12th grade, approximately aged 14–18) adolescents. MethodsWe analyzed the 2019 Massachusetts Youth Health Survey (MYHS) data to calculate the weighted means of any past 30-day sole-use of e-cigarettes, sole-use of combusted tobacco, sole-use of cannabis, dual-use of two of the above substances, and poly-use of all three substances. We then used weighted multinomial logistic regression to examine the associations between demographic, social and behavioral factors and sole-, dual-, and poly-use (vs. no use) of these substances. ResultsAmong N = 1614 respondents, any past 30-day dual-use of e-cigarettes and cannabis was the most prevalent (17.2%, SE: 1.3%). Sole-use of combusted tobacco was less than 1%, whereas 4.5% (SE: 0.7%) of respondents reported poly-use of e-cigarettes, cannabis, and combusted tobacco. Lower academic grades and self-reported depression (1 item on persistent feelings of sadness or hopelessness) were associated with increased odds of dual-use of e-cigarettes and cannabis and poly-use (vs. sole-use of any substance). Adolescents who self-reported having “any long-term emotional problems or learning disabilities” had greater odds of poly-use. ConclusionDifferent sets of correlates were associated with sole-, dual-, and poly-use, suggesting that certain adolescents may be more vulnerable than others to multiple substance use. Future research should examine potentially modifiable upstream influences, such as the home environment and socioeconomic factors that may affect the relationship between adolescent mental health, school performance, and multiple addictive substance use.

Prebiotics for depression: how does the gut microbiota play a role?

Depression, a mood disorder characterized by persistent feelings of sadness and aversion to activity that can interfere with daily life, is a condition of great concern. Prebiotics, which are non-digestible substances selectively utilized by host microorganisms for health benefits, have gained attention for their potential to improve overall wellness and alleviate various disorders including depression. This study aims to review clinical trials utilizing carbohydrate-type prebiotics such as inulin-type fructans, galactooligosaccharides (GOS), human milk oligosaccharides, resistant starch, prebiotic phytochemicals including epigallocatechin gallate (EGCG), chlorogenic acids, resveratrol, and prebiotic lipids (n-3 polysaturated fatty acids) to determine their effects on depression. Our findings suggest that GOS at a daily dosage of 5 g and eicosapentaenoic acid at or less than 1 g can effectively mitigate depressive symptoms. While EGCG exhibits potential antidepressant properties, a higher dosage of 3 g/d may be necessary to elicit significant effects. The plausible mechanisms underlying the impact of prebiotics on depression include the synthesis of neurotransmitters, production of short-chain fatty acids, and regulation of inflammation.

Systems Pharmacology-Based Research on the Mechanism of Danzhi Xiaoyao San in the Treatment of Depression

Depression is a common and serious mental disorder characterized by persistent feeling of sadness and loss of interest in activities. Despite conventional treatments can improve depression symptoms and prevent a recurrence, complementary and alternative therapies are necessary to be involved because of the detrimental effects of the current therapy. Traditional Chinese Medicine (TCM) formulas are considered to be a potential complementary method with special advantages for treating the multiple pathogenesis of depression in a holistic way. However, the underlying pharmacological mechanism of TCM formula on depression therapy remained elusive. Therefore, in current study, a systems pharmacology approach integrating Absorption, Distribution, Metabolism, and Excretion (ADME) filtering, target fishing, gene enrichment analysis, network pharmacology, and pathway analysis was developed to comprehensively explore the multiple therapeutic mechanisms of Danzhi Xiaoyao San (DZXYS) for the treatment of depression. Finally, 111 active components and 112 potential targets of DZXYS were identified through ADME filtering and target fishing. Gene enrichment analysis found that DZXYS played a significant role in treating depression through the regulation of multiple pathogenesis including neurotransmitter systems imbalance, brain derived neurotrophic factor, hypothalamic-pituitary-adrenal axis dysregulation, inflammation, and immune. Moreover, the compound-target and target-pathway networks were constructed to elucidate the therapeutic mechanism of DZXYS from the system perspective. This study proposes a promising way for facilitating in-depth understanding of the complicated therapeutic mechanism of TCM on depression.

Examining the Levels of Depression among University Students during the Final Assignment

Depression is a psychological condition characterized by a persistent feeling of sadness, hopelessness, emptiness, and despair, which affects an individual's emotional state, thoughts, and behavior. This research aims to determine the extent of depression experienced by students during the post-pandemic while completing their final assignments. The study utilizes a Mixed Method Research (MMR) approach with a Sequential Explanatory design that combines qualitative and quantitative methods. The research participants consist of 200 students from the 2019 class at the State Islamic University of North Sumatra. The research was conducted from February 1-20, 2023, and followed up with interviews from February 21-23, 2023. The results reveal that male students experience a higher level of depression than female students. The faculty with the highest number of depressed students is the Faculty of Da'wah and Communication, with 76 students (38%), although the statistical significance is not established. The majority of the students (31.5%) experience moderate depression. The research identifies various factors that contribute to depression, including parental expectations, difficulty in understanding the research materials, lack of references, difficulty in meeting with lecturers, repeating research, financial constraints, loss, and laziness among students.

Depression Detection using AI, ML and NLP

Depression is a serious mental illness that can be debilitating. It can interfere with daily activities and cause feelings of sadness, hopelessness, and despair. It is a mental health condition that can range in severity from mild to severe. The severity of depression can be assessed based on the number, intensity, and duration of symptoms, as well as their impact on an individual's daily functioning. Mild depression typically involves symptoms such as feeling sad, low energy, and a lack of motivation. These symptoms may not significantly interfere with an individual's ability to function in their daily life, and they may still be able to maintain their social and occupational obligations. Moderate depression involves more severe and persistent symptoms, such as a sense of hopelessness, persistent feelings of sadness, and difficulty concentrating or making decisions. These symptoms may make it challenging to fulfill daily responsibilities, and may result in social isolation or problems at work or school. Severe depression involves symptoms that significantly impair an individual's ability to function in their daily life, such as suicidal thoughts, complete loss of interest in activities, and difficulty with basic tasks such as personal hygiene or eating. Severe depression is a medical emergency and requires immediate professional intervention to prevent harm to oneself or others

A cold war text for the COVID generation

A cold war text for the COVID generation

1. Racism, Intersectionality and Health: Examining Experiences of Racism at School with School Connectedness and Persistent Feelings of Sadness or Hopelessness Among U.S. High School Students

1. Racism, Intersectionality and Health: Examining Experiences of Racism at School with School Connectedness and Persistent Feelings of Sadness or Hopelessness Among U.S. High School Students

Prevalence of major depressive disorder and its associated factors among students of private higher secondary schools of science stream, Rajkot city, Gujarat: A cross-sectional study

Background: Major Depressive Disorder (MDD) is a mood disorder characterized by persistent feelings of sadness, hopelessness, worthlessness, and a loss of interest in activities. There is an emerging concern about the prevalence of MDD among high school students. Aims and Objectives: The objective of the study was to estimate the prevalence of MDD among students of private higher secondary schools and to find association between MDD with sociodemographic variables and other predictors of MDD. Materials and Methods: A cross-sectional study was conducted among the students of private higher secondary school of science stream in Rajkot city of Gujarat. A total of 1219 students were enrolled in the study. The students were screened for MDD by Patient Health Questionnaire (PHQ-9) modified for teens. Severity of the depression according to PHQ-9 scale had been described as Minimal Depression, Mild Depression, Moderate Depression, Moderately Severe Depression, and Severe Depression. Data were entered and analyzed using Microsoft excel 2007 and Epi info version 7.1.5.2. The Chi-square test was used to check association between MDD and its various predictors. Results: The prevalence of MDD was found to be 3.20% with highest proportion (9.21%) in Muslim students. Significant association found between MDD and its predictors such as physical illness, flow of ongoing study, and performance in study and addiction. Conclusion: It is recommended that the students should be assessed periodically to know their depression status and academic performance-related problems. Responsible factors should be identified and addressed with the help of parents, teachers, psychologists, and psychiatrists for prompt resolvement.