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depressive disorders</title> <meta name="description" content="Search results for: major depressive disorders"> <meta name="keywords" content="major depressive disorders"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="major depressive disorders"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 8705</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: major depressive disorders</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8705</span> Prevalence of Cognitive Decline in Major Depressive Illness </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=U.%20B.%20Zubair">U. B. Zubair</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kiyani"> A. Kiyani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Depressive illness predispose individuals to a lot of physical and mental health issues. Anxiety and substance use disorders have been studied widely as comorbidity. Biological symptoms also now considered part of the depressive spectrum. Cognitive abilities also decline or get affected and need to be looked into in detail in depressed patients. Objective: To determine the prevalence of cognitive decline among patients with major depressive illness and analyze the associated socio-demographic factors. Methods: 190 patients of major depressive illness were included in our study to determine the presence of cognitive decline among them. Depression was diagnosed by a consultant psychiatrist by using the ICD-10 criteria for major depressive disorder. British Columbia Cognitive Complaints Inventory (BC-CCI) was the psychometric tool used to determine the cognitive decline. Sociodemographic profile was recorded and the relationship of various factors with cognitive decline was also ascertained. Findings: 70% of the patients suffering from depression included in this study showed the presence of some degree of cognitive decline, while 30% did not show any evidence of cognitive decline when screened through BCCCI. Statistical testing revealed that the female gender was the only socio-demographic parameter linked significantly with the presence of cognitive decline. Conclusion: Decline in cognitive abilities was found in a significant number of patients suffering from major depression in our sample population. Screening for this parameter f mental function should be done in depression clinics to pick it early. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20decline" title=" cognitive decline"> cognitive decline</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-demographic%20factors" title=" socio-demographic factors"> socio-demographic factors</a> </p> <a href="https://publications.waset.org/abstracts/117072/prevalence-of-cognitive-decline-in-major-depressive-illness" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117072.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8704</span> The Application of Conceptual Metaphor Theory to the Treatment of Depression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Uma%20Kanth">Uma Kanth</a>, <a href="https://publications.waset.org/abstracts/search?q=Amy%20Cook"> Amy Cook</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conceptual Metaphor Theory (CMT) proposes that metaphor is fundamental to human thought. CMT utilizes embodied cognition, in that emotions are conceptualized as effects on the body because of a coupling of one’s bodily experiences and one’s somatosensory system. Time perception is a function of embodied cognition and conceptual metaphor in that one’s experience of time is inextricably dependent on one’s perception of the world around them. A hallmark of depressive disorders is the distortion in one’s perception of time, such as neurological dysfunction and psychomotor retardation, and yet, to the author’s best knowledge, previous studies have not before linked CMT, embodied cognition, and depressive disorders. Therefore, the focus of this paper is the investigation of how the applications of CMT and embodied cognition (especially regarding time perception) have promise in improving current techniques to treat depressive disorders. This paper aimed to extend, through a thorough review of literature, the theoretical basis required to further research into CMT and embodied cognition’s application in treating time distortion related symptoms of depressive disorders. Future research could include the development of brain training technologies that capitalize on the principles of CMT, with the aim of promoting cognitive remediation and cognitive activation to mitigate symptoms of depressive disorder. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=conceptual%20metaphor%20theory" title=" conceptual metaphor theory"> conceptual metaphor theory</a>, <a href="https://publications.waset.org/abstracts/search?q=embodied%20cognition" title=" embodied cognition"> embodied cognition</a>, <a href="https://publications.waset.org/abstracts/search?q=time" title=" time"> time</a> </p> <a href="https://publications.waset.org/abstracts/121588/the-application-of-conceptual-metaphor-theory-to-the-treatment-of-depression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121588.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8703</span> Acupuncture for Major Depressive Disorders: A Systematic Review of the Randomized Clinical Trials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Derick%20Shi-Chen%20Ou">Derick Shi-Chen Ou</a>, <a href="https://publications.waset.org/abstracts/search?q=Liang-Yu%20Chen"> Liang-Yu Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Acupuncture, a potential alternative, and complementary therapy revealed insufficient evidence in depression treatment. The efficacy of acupuncture treatment was still uncertainty. To evaluate the effect of acupuncture in treating depression, the randomized controlled trials (RCTs) were examined. Methods: RCTs of the acupuncture therapy in treating major depression were searched from MEDLINE from 2007 to 2017. Keywords used for searching strategy included acupuncture, acupoint, and major depressive disorder. Results: Among the nine RCTs, four studies demonstrated great improvement in acupuncture treatment and five studies revealed the effectiveness of acupuncture intervention in medication. General trends suggest that acupuncture treatment is as effective as antidepressants with minimal side effects. Conclusion: Despite the promising results from the RCTs, there are still a variety of limitations, including small sample size, imprecise enrollment criteria, difficulties with blinding, randomization, short duration of study and lack of longitudinal follow-up. Therefore, the evidence that acupuncture as an alternative therapy for depression is inconclusive. More rigorously designed RCTs should be conducted in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acupuncture" title="acupuncture">acupuncture</a>, <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorders" title=" major depressive disorders"> major depressive disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=randomized%20clinical%20trials" title=" randomized clinical trials"> randomized clinical trials</a>, <a href="https://publications.waset.org/abstracts/search?q=antidepressants" title=" antidepressants"> antidepressants</a> </p> <a href="https://publications.waset.org/abstracts/87287/acupuncture-for-major-depressive-disorders-a-systematic-review-of-the-randomized-clinical-trials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87287.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">234</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8702</span> Stressful Events and Serious Mood Disorders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Horesh%20Reinman%20Netta">Horesh Reinman Netta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objectives: To examine the relationship between stressful life events and recurrent major depressive disorders Methods: Three groups of 50 subjects were assessed. One group had a recurrent major depressive disorder with melancholic features; the second group met the criteria for borderline personality disorder, and the third consisted of healthy controls. The Structured Clinical Interview for AXIS I DSM-IV Disorders sand the Structured Clinical Interview for AXIS II DSM-IV Disorders were used for diagnosis. The Israel Psychiatric Epidemiology Research Interview (IPERI) Life Event Scale and the Coddington Life Events Schedule (CLES) were used to measure life events which were confirmed with a confirmatory semi-structured interview. The Beck Depression Inventory and the Satisfaction from Life scales were also administered. Results : The total number of loss-related events in childhood and in the year preceding the first episode was significantly higher in the affective disorder group than in the two control groups. Total number of LE, uncontrolled and independent events were also more common in the depressed patients in the year preceding the first episode. No category of SLE was differentiated among any of the three groups during any period of time following the first depressive episode. Conclusions: SLE play an important role in the onset of affective disorders. There appear to be specific kinds of SLE occurring in childhood and in the year preceding a first episode that have particular significance. SLE may have a lesser role in the maintenance of this illness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modd%20dosorders" title="modd dosorders">modd dosorders</a>, <a href="https://publications.waset.org/abstracts/search?q=recurrent%20depression" title=" recurrent depression"> recurrent depression</a>, <a href="https://publications.waset.org/abstracts/search?q=stress" title=" stress"> stress</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20events" title=" life events"> life events</a> </p> <a href="https://publications.waset.org/abstracts/159177/stressful-events-and-serious-mood-disorders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159177.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8701</span> Non-Adherence to Antidepressant Treatment and Its Predictors among Outpatients with Depressive Disorders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Selam%20Mulugeta">Selam Mulugeta</a>, <a href="https://publications.waset.org/abstracts/search?q=Barkot%20Milkias"> Barkot Milkias</a>, <a href="https://publications.waset.org/abstracts/search?q=Mesfin%20Araya"> Mesfin Araya</a>, <a href="https://publications.waset.org/abstracts/search?q=Abel%20Worku"> Abel Worku</a>, <a href="https://publications.waset.org/abstracts/search?q=Eyasu%20Mulugeta"> Eyasu Mulugeta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Ethiopia, there is inadequate information on non-adherence to antidepressant treatment in patients with depressive disorders. Having awareness of the pattern of adherence is important in future prognosis, quality of life, and functionality in these patients. This hospital-based cross-sectional quantitative study was done on a sample of 216 consecutive outpatients with depressive disorders. Data were collected using questionnaires through in-person and phone call interviews. The 8-item Morisky scale was used to assess the pattern of medication adherence. Other specially developed tools were used to obtain sociodemographic and clinical information from electronic medical records and patient interviews. Data were analyzed using the Statistical Package for the Social Sciences Version - 25. Univariate and multivariable analyses were carried out to assess factors associated with non-adherence. 90% of the participants had a primary diagnosis of major depressive disorder. Based on the 8-item Morisky Medication Adherence Scale, the prevalence of non-adherence was found to be 84.7%. Living distance between 11 to 50 km from the hospital (AOR= 11, 95% CI (29,46.6)), post-secondary level of education (AOR= 8.3, 95% CI (1, 64.4)) and taking multiple medications (AOR= 6.1, 95% CI (1, 34.9)) were found to have significantly increased odds of non-adherence. Non-adherence was significantly associated with factors such as increased living distance from the hospital, relatively higher educational level, and polypharmacy. Proper and patient-centered psychoeducation, addressing the communication gap between patients and doctors, adherence to prescribing guidelines, avoiding polypharmacy unless indicated & working on accessibility of treatment is essential to decrease non-adherence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depressive%20disorders" title="depressive disorders">depressive disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a>, <a href="https://publications.waset.org/abstracts/search?q=medication%20adherence" title=" medication adherence"> medication adherence</a>, <a href="https://publications.waset.org/abstracts/search?q=Addis%20Ababa" title=" Addis Ababa"> Addis Ababa</a> </p> <a href="https://publications.waset.org/abstracts/135239/non-adherence-to-antidepressant-treatment-and-its-predictors-among-outpatients-with-depressive-disorders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135239.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8700</span> The Association among Obesity, Lipid Profiles and Depression Severity in Patients with Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=In%20Hee%20Shim">In Hee Shim</a>, <a href="https://publications.waset.org/abstracts/search?q=Dong%20Sik%20Bae"> Dong Sik Bae</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Obesity and unfavorable lipid profile may be linked to depressive disorders. This study compared the levels of obesity, lipid profiles and depression severity of patients with depressive disorders. Methods: This study included 156 patients diagnosed with a depressive disorder who were hospitalized between March 2012 and February 2016. The patients were categorized into mild to moderate and severe depressive groups, based on Hamilton Depression Rating Scale scores (Mild to moderate depression 8-23 vs. severe depression ≥ 24). The charts of the patients were reviewed to evaluate body mass index and lipid profiles, including total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides (TG), confounding factors, such as other general medical disorders (hypertension, diabetes mellitus, and dyslipidemia), except smoking status (insufficient data). Demographic and clinical characteristics, such as age, sex, comorbidities, family history of mood disorders, psychotic features, and prescription patterns were also assessed. Results: Compared to the mild to the moderate depressive group, patients with severe depression had significantly lower rate of male and comorbidity. The patients with severe depression had a significantly lower TG than patients in the mild to moderate depressive group. After adjustment for the sex and comorbidity, there were no significant differences between the two groups in terms of the obesity and lipid profiles, including TG. Conclusion: These results did not show a significant difference in the association between obesity, lipid profiles and the depression severity. The role of obesity and lipid profiles in the pathophysiology of depression remains to be clarified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=HAM-D" title=" HAM-D"> HAM-D</a>, <a href="https://publications.waset.org/abstracts/search?q=lipid%20profiles" title=" lipid profiles"> lipid profiles</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/62955/the-association-among-obesity-lipid-profiles-and-depression-severity-in-patients-with-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62955.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8699</span> Narrative Review Evaluating Systematic Reviews Assessing the Effect of Probiotic Interventions on Depressive Symptoms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Nadeem">Ibrahim Nadeem</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Rahman"> Mohammed Rahman</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasser%20Ad-Dab%E2%80%99Bagh"> Yasser Ad-Dab’Bagh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmood%20Akhtar"> Mahmood Akhtar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Depression is one of the most prevalent mental illnesses and is often associated with various other medical disorders. In this review, we aim to evaluate existing systematic reviews that investigate the use of probiotics as a treatment for depressive symptoms. Five online databases were searched for relevant studies up to December 2017. Systematic reviews that included randomized controlled trials assessing the efficacy of probiotics in the treatment of depressive symptoms were included. Seven systematic reviews met the inclusion criteria. Three of these reviews conducted meta-analyses, out of which, two found probiotics to significantly improve depressive symptoms in the sample population. Two meta-analyses conducted subgroup analysis based on health status, and both found probiotics to significantly decrease depressive symptoms in patients with major depressive disorder, but only one review found it to significantly decrease in healthy patients. Another subgroup analysis was conducted based on age, and found probiotics to produce significant effects on subjects under the age of 60, but close to no effect on patients over the age of 65. Out of the four reviews that conducted qualitative analysis, three reviews concluded that probiotics have the potential to be used as a treatment. Due to the differences in clinical trials, a definitive effect of probiotics on depressive symptoms cannot be concluded. Nonetheless, probiotics seem to produce a significant therapeutic effect for subjects with pre-existing depressive symptoms. Further studies are warranted for definitive conclusions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=gut-brain%20axis" title=" gut-brain axis"> gut-brain axis</a>, <a href="https://publications.waset.org/abstracts/search?q=gut%20microbiota" title=" gut microbiota"> gut microbiota</a>, <a href="https://publications.waset.org/abstracts/search?q=probiotic" title=" probiotic"> probiotic</a>, <a href="https://publications.waset.org/abstracts/search?q=psychobiotic" title=" psychobiotic"> psychobiotic</a> </p> <a href="https://publications.waset.org/abstracts/95947/narrative-review-evaluating-systematic-reviews-assessing-the-effect-of-probiotic-interventions-on-depressive-symptoms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95947.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">139</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8698</span> The Role of Hypothalamus Mediators in Energy Imbalance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maftunakhon%20Latipova">Maftunakhon Latipova</a>, <a href="https://publications.waset.org/abstracts/search?q=Feruza%20Khaydarova"> Feruza Khaydarova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is considered a chronic metabolic disease that occurs at any age. Regulation of body weight in the body is carried out through complex interaction of a complex of interrelated systems that control the body's energy system. Energy imbalance is the cause of obesity and overweight, in which the supply of energy from food exceeds the energy needs of the body. Obesity is closely related to impaired appetite regulation, and a hypothalamus is a key place for neural regulation of food consumption. The nucleus of the hypothalamus is connected and interdependent on receiving, integrating and sending hunger signals to regulate appetite. Purpose of the study: to identify markers of food behavior. Materials and methods: The screening was carried out to identify eating disorders in 200 men and women aged 18 to 35 years with overweight and obesity and to check the effects of Orexin A and Neuropeptide Y markers. A questionnaire and questionnaires were conducted with over 200 people aged 18 to 35 years. Questionnaires were for eating disorders and hidden depression (on the Zang scale). Anthropometry is measured by OT, OB, BMI, Weight, and Height. Based on the results of the collected data, 3 groups were divided: People with obesity, People with overweight, Control Group of Healthy People. Results: Of the 200 analysed persons, 86% had eating disorders. Of these, 60% of eating disorders were associated with childhood. According to the Zang test result: Normal condition was about 37%, mild depressive disorder 20%, moderate depressive disorder 25% and 18% of people suffered from severe depressive disorder without knowing it. One group of people with obesity had eating disorders and moderate and severe depressive disorder, and group 2 was overweight with mild depressive disorder. According to laboratory data, the first group had the lowest concentration of Orexin A and Neuropeptide U in blood serum. Conclusions: Being overweight and obese are the first signal of many diseases, and prevention and detection of these disorders will prevent various diseases, including type 2 diabetes. Obesity etiology is associated with eating disorders and signal transmission of the orexinorghetic system of the hypothalamus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=endocrinology" title=" endocrinology"> endocrinology</a>, <a href="https://publications.waset.org/abstracts/search?q=hypothalamus" title=" hypothalamus"> hypothalamus</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a> </p> <a href="https://publications.waset.org/abstracts/161375/the-role-of-hypothalamus-mediators-in-energy-imbalance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161375.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8697</span> Violence-Health Nexus: Examining the Impact of Ethnic Violence on Mental Health Disorders, A Global Perspective</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saqib%20Amina">Saqib Amina</a>, <a href="https://publications.waset.org/abstracts/search?q=Waqas%20Mehmoodb"> Waqas Mehmoodb</a>, <a href="https://publications.waset.org/abstracts/search?q=Iftikhar%20Yasinc"> Iftikhar Yasinc</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study analyzes the robust association between ethnic violence and mental health from a global perspective (201-countries across the world) by using the panel data for the period 1970 to 2020. Mental health has been determined through various dimensions such as mental disorders, anxiety disorder, depressive disorder, schizophrenia, and bipolar disorder. The empirical findings show that ethnic violence has a significant positive association with all types of mental health indicators, including mental disorders, anxiety disorder, depressive disorder, schizophrenia, and bipolar disorder. The study also reveals that institutional quality may reduce the effect of mental health disorders in a better way than promoting democracy. This study suggests the non-stigmatizing social form of community-based support services instead of a stigmatizing the concept of mental illnesses that promotes hospitalization and drug treatment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ethnic%20violence" title="ethnic violence">ethnic violence</a>, <a href="https://publications.waset.org/abstracts/search?q=unemployment" title=" unemployment"> unemployment</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20health" title=" mental health"> mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=violence" title=" violence"> violence</a> </p> <a href="https://publications.waset.org/abstracts/167551/violence-health-nexus-examining-the-impact-of-ethnic-violence-on-mental-health-disorders-a-global-perspective" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167551.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">171</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8696</span> Forced Displacement and Mental Health Problems in Refugees Residing in Quetta for Decades</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Silsila%20Sherzad">Silsila Sherzad</a>, <a href="https://publications.waset.org/abstracts/search?q=Hazrat%20Ali%20Khan"> Hazrat Ali Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Tabasum%20Sherzad"> Tabasum Sherzad</a>, <a href="https://publications.waset.org/abstracts/search?q=Hazratullah"> Hazratullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanaullah"> Sanaullah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: To study the prevalence of common Mental health disorders among forcibly displaced people and to compare with the common mental health disorders among host community members. Study design: Analytical Study. Place of study: Balochistan institute of psychiatry and behavioral sciences, Quetta, Baluchistan, Pakistan. Methodology: Data from the Outpatient department were analyzed to numerate both the host community and refugees. Out of 4120, 354 refugee patients were identified using their proof registration (POR) card and for 3776 of the host community using their computerized national identity card (CNIC), data was analyzed for the prevalence of mental health disorders among them. Results: This study states that Afghan Refugees presented to OPD services of Balochistan institute of psychiatry and behavioral sciences, 47% were diagnosed as Major depressive disorder with/without psychosis, 19% with Generalized anxiety disorder, 5% were diagnosed as Bipolar Affective disorder, 5% With schizophrenia, 4% as Post-traumatic stress disorder, 3% as migraine, 3% conversion disorder, 2% Obsessive-compulsive disorder, 1% somatoform disorder and 10% of them presented with other psychiatric disorders, while in host community 21% were diagnosed as Major depressive disorder with/without psychosis, 24% as Generalized anxiety disorder, 12% as somatoform disorder, 10% as Obsessive-compulsive disorder, 8% as migraine, 7% as conversion disorder, 4% as Bipolar Affective disorder, 3% as schizophrenia, 3% as Mental and behavioral disorder due to substance misuse and rest of 7% presented with other psychiatric disorders. Conclusion: The conclusion of this study states that mental health disorders are more common among refugees than in other populations. The result of this study shows that there is a big difference in the prevalence of mental health disorders among displaced people and the rest of the population. Some Mental health disorders are present in a higher percentage among displaced people rather than among the host community, while some other disorders are present in a lower percentage among displaced people rather than among the host community. This study also highlights that further studies are needed to determine risk and protective factors within the host community. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forced%20displacement" title="forced displacement">forced displacement</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20health" title=" mental health"> mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=Afghan%20refugees" title=" Afghan refugees"> Afghan refugees</a>, <a href="https://publications.waset.org/abstracts/search?q=depression" title=" depression"> depression</a> </p> <a href="https://publications.waset.org/abstracts/162813/forced-displacement-and-mental-health-problems-in-refugees-residing-in-quetta-for-decades" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162813.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">110</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8695</span> A Comparative Study between Behaviour Activation, Rational Emotive Behaviour Therapy and Waiting List Control for Major Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shweta%20Jha">Shweta Jha</a>, <a href="https://publications.waset.org/abstracts/search?q=Digambar%20Darekar"> Digambar Darekar</a>, <a href="https://publications.waset.org/abstracts/search?q=Krishna%20Kadam"> Krishna Kadam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Major Depressive Disorder (MDD) is one of the most common of psychiatric disorders. It has a wide range of symptoms, aetiologies and risk factors, and these reasons make MDD affect not only the primary patient, but also their family, caregivers and associates; by negatively impacting their self dignity, economic condition and self-confidence. Thus, it is important to help individuals suffering from MDD learn adaptive mechanism and deal effectively with their environment, with that aim this study focused on a comparative therapeutic intervention using Behaviour Activation (BA), Rational Emotive Behaviour Therapy (REBT) and Waiting list control (WLC) for management of MDD. This study apart from enhancing personal skills will also help us understand which therapeutic method would be more beneficial in treating and prolonging relapse in patients with MDD in Indian population. Fifteen individuals following application of inclusion and exclusion criteria were selected as study samples. They were randomly assigned to three treatment groups. Ten sessions of therapy, forty-five minutes each according to the proposed sessions plan were conducted for each group. The individuals selected as samples were re–assessed after 2 months and 6 months post intervention. The overall result showed that individuals treated with BA and REBT showed more improvement in comparison to those in WLC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behaviour%20activation" title="behaviour activation">behaviour activation</a>, <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title=" major depressive disorder"> major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=rational%20emotive%20behaviour%20therapy" title=" rational emotive behaviour therapy"> rational emotive behaviour therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=therapeutic%20intervention" title=" therapeutic intervention"> therapeutic intervention</a> </p> <a href="https://publications.waset.org/abstracts/55129/a-comparative-study-between-behaviour-activation-rational-emotive-behaviour-therapy-and-waiting-list-control-for-major-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55129.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">254</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8694</span> An Investigation of the Effects of Emotional Experience Induction on Mirror Neurons System Activity with Regard to Spectrum of Depressive Symptoms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elyas%20Akbari">Elyas Akbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Jafar%20Hasani"> Jafar Hasani</a>, <a href="https://publications.waset.org/abstracts/search?q=Newsha%20Dehestani"> Newsha Dehestani</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Khaleghi"> Mohammad Khaleghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Moradi"> Alireza Moradi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the present study was to assess the effect of emotional experience induction in the mirror neurons systems (MNS) activity with regard to the spectrum of depressive symptoms. For this purpose, at first stage, 449 students of Kharazmi University of Tehran were selected randomly and completed the second version of the Beck Depression Inventory (BDI-II). Then, 36 students with standard Z-score equal or above +1.5 and equal or equal or below -1.5 were selected to construct two groups of high and low spectrum of depressive symptoms. In the next stage, the basic activity of MNS was recorded (mu wave) before presenting the positive and negative emotional video clips by Electroencephalography (EEG) technique. The findings related to emotion induction (neutral, negative and positive emotion) demonstrated that the activity of recorded mirror neuron areas had a significant difference between the depressive and non-depressive groups. These findings suggest that probably processing of negative emotions in depressive individuals is due to the idea that the mirror neurons in motor cortex matched up the activity of cognitive regions with the person’s schema. Considering the results of the present study, it could be said that the MNS provides a substrate where emotional disorders can be studied and evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotional%20experiences" title="emotional experiences">emotional experiences</a>, <a href="https://publications.waset.org/abstracts/search?q=mirror%20neurons" title=" mirror neurons"> mirror neurons</a>, <a href="https://publications.waset.org/abstracts/search?q=depressive%20symptoms" title=" depressive symptoms"> depressive symptoms</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20and%20positive%20emotion" title=" negative and positive emotion"> negative and positive emotion</a> </p> <a href="https://publications.waset.org/abstracts/65035/an-investigation-of-the-effects-of-emotional-experience-induction-on-mirror-neurons-system-activity-with-regard-to-spectrum-of-depressive-symptoms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65035.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">358</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8693</span> Stress and Marital Satisfaction of Parents to Children Diagnosed with Autism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oren%20Shtayermman">Oren Shtayermman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current investigation expended on research among parents caring for a child who is diagnosed with an autism spectrum disorder (ASD). An online web survey was used to collect data from 253 parents caring for a child with a diagnosis of ASD. Both parents reported on elevated levels of parental stress associated with caring for the child on the spectrum. In addition, lower levels of marital satisfaction were found in both parents. About 13% of the parents in the sample met the diagnostic criteria for Major Depressive Disorder and About 15% of the parents met the diagnostic criteria for Generalized Anxiety Disorder. Although the majority of the sample was females (94%) significant differences were found between males and females in relation to meeting the diagnostic criteria for Major Depressive Disorder and for Generalized Anxiety Disorder. Higher levels of stress were associated with higher number of Generalized Anxiety Disorder symptoms and higher number of Major Depressive Disorder symptoms. Findings from this study indicate how vulnerable parents and especially females are in relation to caring to a child diagnosed with ASD. Educational Objectives: At the conclusion of the paper, the readers should be able to: -Identify levels of stress and marital satisfaction among parents caring for a child diagnosed with autism spectrum disorder, -Recognize the impact of stress on the development of mental health issues, -Name the two most common mood and anxiety related disorders associated with caring for a child diagnosed with an autism spectrum disorder. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autism" title="autism">autism</a>, <a href="https://publications.waset.org/abstracts/search?q=stress" title=" stress"> stress</a>, <a href="https://publications.waset.org/abstracts/search?q=parents" title=" parents"> parents</a>, <a href="https://publications.waset.org/abstracts/search?q=children" title=" children"> children</a> </p> <a href="https://publications.waset.org/abstracts/46126/stress-and-marital-satisfaction-of-parents-to-children-diagnosed-with-autism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46126.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">315</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8692</span> Determining the Prevalence and Correlates of Depression among Transgenders of a Developing Country</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Usama%20Bin%20%20Zubair">Usama Bin Zubair</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Azeem"> Muhammad Azeem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Depression has been one of the most commonly diagnosed mental health disorders in Pakistan. A Census conducted by the government of Pakistan in 2017 showed that more than 10000 trans-genders live in Pakistan. HIV, illicit substance use and mental health issues, including depression, have been the main health problems faced by them. Trans-gender population has been suffering from depressive illness more than normal population all over the world. Aim: To assess the prevalence of depression among the transgender population and analyze the relationship of socio-demographic factors with depression. Subjects and Methods: The sample population comprised of one hundred and forty-two transgender people of Rawalpindi and Islamabad. Beck depressive inventory II (BDI-II) was used to record the presence and severity of the depressive symptoms. Depressive symptoms were categorized as mild, moderate and severe. Relationship of the age, smoking, family income, illicit substance use and education were studied with the presence of depressive symptoms among these transgender people of twin cities of Pakistan. Results: A total of 142 transgender people were included in the final analysis. The mean age of the study participants was 39.55 ± 6.18. Out of these, 45.1% had no depressive symptoms while 31.7% had mild, 12.7% had moderate and 10.6% had severe depressive symptomatology. After applying the binary logistic regression, we found that the presence of depressive symptoms had a significant association with illicit substance use among the target population. Conclusion: This study showed a high prevalence of depressive symptoms among the transgender population in the twin cities of Pakistan. Use of illicit substances like tobacco, cannabis, opiates, and alcohol should be discouraged to prevent mental health problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=transgender" title=" transgender"> transgender</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=sociodemographic%20factors" title=" sociodemographic factors"> sociodemographic factors</a> </p> <a href="https://publications.waset.org/abstracts/117076/determining-the-prevalence-and-correlates-of-depression-among-transgenders-of-a-developing-country" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117076.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">121</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8691</span> Mental Disorders and Physical Illness in Geriatric Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vinay%20Kumar">Vinay Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Kishor"> M. Kishor</a>, <a href="https://publications.waset.org/abstracts/search?q=Sathyanarayana%20Rao%20Ts"> Sathyanarayana Rao Ts</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Growth of elderly people in the general population in recent years is termed as ‘greying of the world’ where there is a shift from high mortality & fertility to low mortality and fertility, resulting in an increased proportion of older people as seen in India. Improved health care promises longevity but socio-economic factors like poverty, joint families and poor services pose a psychological threat. Epidemiological data regarding the prevalence of mental disorders in geriatric population with physical illness is required for proper health planning. Methods: Sixty consecutive elderly patients aged 60 years or above of both sexes, reporting with physical illness to general outpatient registration counter of JSS Medical College and Hospital, Mysore, India, were considered for the Study. With informed consent, they were screened with General Health Questionnaire (GHQ-12) and were further evaluated for diagnosing mental disorders according to WHO International Classification of Diseases (ICD-10) criteria. Results: Mental disorders were detected in 48.3%, predominantly depressive disorders, nicotine dependence, generalized anxiety disorder, alcohol dependence and least was dementia. Most common physical illness was cardiovascular disease followed by metabolic, respiratory and other diseases. Depressive disorders, substance dependence and dementia were more associated with cardiovascular disease compared to metabolic disease and respiratory diseases were more associated with nicotine dependence. Conclusions: Depression and Substance use disorders among elderly population is of concern, which needs to be further studied with larger population. Psychiatric morbidity will adversely have an impact on physical illness which needs proper assessment and management. This will enhance our understanding and prioritize our planning for future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Geriatric" title="Geriatric">Geriatric</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20disorders" title=" mental disorders"> mental disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20illness" title=" physical illness"> physical illness</a>, <a href="https://publications.waset.org/abstracts/search?q=psychiatry" title=" psychiatry"> psychiatry</a> </p> <a href="https://publications.waset.org/abstracts/55972/mental-disorders-and-physical-illness-in-geriatric-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55972.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">286</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8690</span> Randomized Controlled Trial of Group Cognitive Behavioral Therapy for Depressive Symptoms among Menopausal Chinese Women</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jing%20Ding">Jing Ding</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study will propose a Randomized Controlled Trial (RCT) that will assess the efficacy of group Cognitive Behavioral Therapy (CBT) in treating depressive symptoms among menopausal women in China. Considering the high prevalence of menopausal symptoms and depressive disorders among this population, the present study is intended to explore whether group CBT can provide relief for these psychological disturbances commonly linked with hot flashes and night sweats during menopause. Thus, participants will be recruited through gynecologic and psychological outpatient clinics in Beijing, China, and then randomly assigned to either the CBT intervention group or the waitlist control group. The primary outcome measures for major depression will include the PHQ-9, while for menopausal symptoms, the main outcome measure will be the KMI. Secondary measures will include the assessment of sleep quality, quality of life, and general well-being. The current study offers evidence-based intervention for non-pharmacological menopausal symptoms in women and underlines the benefits that group CBT can have, both at a mental health level and for physical symptoms during menopause. This study could set the stage for the wider clinical practice of CBT with this demographic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=group%20CBT" title="group CBT">group CBT</a>, <a href="https://publications.waset.org/abstracts/search?q=depression" title=" depression"> depression</a>, <a href="https://publications.waset.org/abstracts/search?q=women%27s%20mental%20health" title=" women's mental health"> women's mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=menopause" title=" menopause"> menopause</a> </p> <a href="https://publications.waset.org/abstracts/192665/randomized-controlled-trial-of-group-cognitive-behavioral-therapy-for-depressive-symptoms-among-menopausal-chinese-women" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192665.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">15</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8689</span> Suicide in Late-Life Major Depressive Disorder: A Review of Structural and Functional Neuroimaging Studies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenqiu%20Cao">Wenqiu Cao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Suicide prevention is a global problem that needs to be taken seriously. Investigating the mechanisms of suicide in major depressive disorder (MDD) separately through neuroimaging technology is essential for effective suicide prevention. And it’s particularly urgent in geriatric depressive patients since older adults are more likely to use rapidly deadly means, and suicidal behavior is more lethal for older adults. The current study reviews five studies related to suicide in geriatric MDD that uses neuroimaging methodology in order to analyze the relevant neurobiological mechanisms. The majority of the studies found significant white matter and grey matter reduction or lesion widespread in multiple brain regions, including the frontal and parietal regions, the midbrain, the external capsule, and the cerebellum. Regarding the cognitive impairment in geriatric MDD, the reward signals were found weakened in the paralimbic cortex. The functional magnetic resonance imaging (fMRI) studies also found hemodynamic changes in the right dorsolateral prefrontal cortex (DLPFC), orbitofrontal cortex (OFC), and right frontopolar cortex (FPC) regions in late-life MDD patients with suicidal ideation. Future studies should consider the age of depression onset, more accurate measurements of suicide, larger sample size, and longitudinal design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=brain%20imaging" title="brain imaging">brain imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=geriatric%20major%20depressive%20disorder" title=" geriatric major depressive disorder"> geriatric major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=suicidality" title=" suicidality"> suicidality</a>, <a href="https://publications.waset.org/abstracts/search?q=suicide" title=" suicide"> suicide</a> </p> <a href="https://publications.waset.org/abstracts/126891/suicide-in-late-life-major-depressive-disorder-a-review-of-structural-and-functional-neuroimaging-studies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126891.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8688</span> Epigenetic Drugs for Major Depressive Disorder: A Critical Appraisal of Available Studies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aniket%20Kumar">Aniket Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Jacob%20Peedicayil"> Jacob Peedicayil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Major depressive disorder (MDD) is a common and important psychiatric disorder. Several clinical features of MDD suggest an epigenetic basis for its pathogenesis. Since epigenetics (heritable changes in gene expression not involving changes in DNA sequence) may underlie the pathogenesis of MDD, epigenetic drugs such as DNA methyltransferase inhibitors (DNMTi) and histone deactylase inhibitors (HDACi) may be useful for treating MDD. The available literature indexed in Pubmed on preclinical drug trials of epigenetic drugs for the treatment of MDD was investigated. The search terms we used were ‘depression’ or ‘depressive’ and ‘HDACi’ or ‘DNMTi’. Among epigenetic drugs, it was found that there were 3 preclinical trials using HDACi and 3 using DNMTi for the treatment of MDD. All the trials were conducted on rodents (mice or rats). The animal models of depression that were used were: learned helplessness-induced animal model, forced swim test, open field test, and the tail suspension test. One study used a genetic rat model of depression (the Flinders Sensitive Line). The HDACi that were tested were: sodium butyrate, compound 60 (Cpd-60), and valproic acid. The DNMTi that were tested were: 5-azacytidine and decitabine. Among the three preclinical trials using HDACi, all showed an antidepressant effect in animal models of depression. Among the 3 preclinical trials using DNMTi also, all showed an antidepressant effect in animal models of depression. Thus, epigenetic drugs, namely, HDACi and DNMTi, may prove to be useful in the treatment of MDD and merit further investigation for the treatment of this disorder. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DNA%20methylation" title="DNA methylation">DNA methylation</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20discovery" title=" drug discovery"> drug discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=epigenetics" title=" epigenetics"> epigenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title=" major depressive disorder"> major depressive disorder</a> </p> <a href="https://publications.waset.org/abstracts/74610/epigenetic-drugs-for-major-depressive-disorder-a-critical-appraisal-of-available-studies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74610.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">187</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8687</span> Insufficient Sleep as a Risk Factor for Substance Use Among Adolescents: The Mediating Role of Depressive Symptoms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aaron%20Kim">Aaron Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Nydia%20Hernandez"> Nydia Hernandez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite the known deficits in sleep duration among adolescents and the increasing prevalence of substance use behaviors among this group, relatively little is known about how insufficient sleep is related to various substance use behaviors and the underlying mechanisms. Informed by the literature suggesting the predictive role of insufficient sleep for substance use and depressive symptoms, we hypothesized that adolescents who lack sufficient sleep during school nights would report a higher level of depressive symptoms and substance use than their counterparts with sufficient sleep. We also hypothesized that depressive symptoms would explain the association of insufficient sleep with substance use, suggesting that mental health plays an important role as a mechanism between insufficient sleep and substance use. This study used the data drawn from the 2019 Youth Risk Behavior Surveillance System Data, which includes a nationally representative sample of U.S. high school students (N=13,677, 49.4% Female, 9th-12th graders). Self-report measures of insufficient sleep (sleeping<7 h on an average school night), depressive symptoms (yes/no), any past 30-day use of cigarette (yes/no), e-cigarette (yes/no), alcohol (yes/no), and marijuana (yes/no). Among the total sample, 47.9% of students reported that they did not have sufficient sleep on school nights, indicating sleeping less than 7 hours. Regarding depressive symptoms, 36.7% of students reported feeling sad or hopeless almost every day for two weeks or more in a row during the past 12 months. Also, the percentages of students who reported one or more times of cigarette use, e-cigarette use, alcohol use, and marijuana use in the past month were 5.32%, 30.11%, 26.83%, and 21.65%, respectively. For bivariate associations among these study variables, insufficient sleep was positively associated with other variables: depressive symptoms (r=.08, p<.001), cigarette use (r=.03, p<.001), e-cigarette use (r=.04, p<.001), alcohol use (r=.07, p<.001), and marijuana use (r=.08, p<.001). After controlling for students’ characteristics (i.e., age, gender, race/ethnicity, grades), sleeping less than 7 hours on school nights (vs. sleeping more than 7 hours) was significantly associated with the past 30-day use of alcohol and marijuana, whereas cigarette and e-cigarette uses were not. That is, the students who reported having an insufficient sleep on school nights had higher odds of alcohol (Odds Ratio [OR]=1.15, 95% Confidence Interval [CI]=1.014-1.301) and marijuana use (OR=1.36, 95% CI=1.132-1.543). In a subsequent analysis including depressive symptoms together with insufficient sleep, the association of insufficient sleep with alcohol use (OR=1.13, 95% CI=1.011-1.297) and marijuana use (OR=1.33, 95% CI=1.130-1.521) were attenuated and explained by depressive symptoms. Depressive symptoms significantly increased the odds of alcohol use by 32.2% (OR=1.32, 95% CI=1.131-1.557) and marijuana use by 202.1% (OR=2.02, 95% CI=1.672-2.502). These findings together suggest that insufficient sleep may contribute to increased risks of substance uses among adolescents. The current study also shows that psychological disorders of adolescents play important roles in understanding the association between insufficient sleep and substance use, suggesting insufficient sleep is related to substance use indirectly through depressive symptoms. This study indicates the importance of sleep deprivation among adolescents and screening for insufficient sleep in preventing/intervening in substance use. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adolescents" title="adolescents">adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=depressive%20symptoms" title=" depressive symptoms"> depressive symptoms</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep" title=" sleep"> sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=substance%20use" title=" substance use"> substance use</a> </p> <a href="https://publications.waset.org/abstracts/156404/insufficient-sleep-as-a-risk-factor-for-substance-use-among-adolescents-the-mediating-role-of-depressive-symptoms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156404.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8686</span> Factors of Major Depressive Disorder (MDD): Prevalence of Social Support on Stress within Parental Depression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Calvin%20Chiu">Calvin Chiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Samar%20Saade%20Needham"> Samar Saade Needham</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The factors associated with the development of major depressive disorder (MDD) have been an ongoing area of concern within the field of psychopathology. Among parents, the rise in stress factors for individuals receiving less social support contributes to an increase in MDD cases. Understanding the causal aspects of MDD through the interworking of stress development within social support disparities provides critical insights into preventive measures for depressive symptoms. The present study seeks to assess the impact of social support on stress formation within MDD. Such that single parents lacking social support prompt an increase in stress formation, which proliferates the progression of MDD. Participants in this study were 450 ethnic minority mothers and fathers experiencing health inequities during pregnancy and early childhood. Perceived stress, social support, and depression are assessed by multi-item questionnaires that produce score ranges for general findings. Results indicated that lower social support scores resulted in higher depression scores, and higher perceived stress scores produced higher depression scores. Furthermore, single parents reported higher depression scores. These findings overlap with studies on paternal depression and suggest that MDD is a product of stress accumulation due to declining social support systems. Future studies may specify effective social support systems for decreasing stress accumulation in MDD formation in preventive strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title="major depressive disorder">major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20formation" title=" stress formation"> stress formation</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive-behavioral%20outcomes" title=" cognitive-behavioral outcomes"> cognitive-behavioral outcomes</a>, <a href="https://publications.waset.org/abstracts/search?q=deficit-based%20behaviors" title=" deficit-based behaviors"> deficit-based behaviors</a> </p> <a href="https://publications.waset.org/abstracts/185820/factors-of-major-depressive-disorder-mdd-prevalence-of-social-support-on-stress-within-parental-depression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185820.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">43</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8685</span> Effects of the Age, Education, and Mental Illness Experience on Depressive Disorder Stigmatization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soowon%20Park">Soowon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Min-Ji%20Kim"> Min-Ji Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jun-Young%20Lee"> Jun-Young Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Motivation: The stigma of mental illness has been studied in many disciplines, including social psychology, counseling psychology, sociology, psychiatry, public health care, and related areas, because individuals labeled as ‘mentally ill’ are often deprived of their rights and their life opportunities. To understand the factors that deepen the stigma of mental illness, it is important to understand the influencing factors of the stigma. Problem statement: Depression is a common disorder in adults, but the incidence of help-seeking is low. Researchers have believed that this poor help-seeking behavior is related to the stigma of mental illness, which results from low mental health literacy. However, it is uncertain that increasing mental health literacy decreases mental health stigmatization. Furthermore, even though decreasing stigmatization is important, the stigma of mental illness is still a stable and long-lasting phenomenon. Thus, factors other than knowledge about mental disorders have the power to maintain the stigma. Investigating the influencing factors that facilitate the stigma of psychiatric disease could help lower the social stigmatization. Approach: Face-to-face interviews were conducted with a multi-clustering sample. A total of 700 Korean participants (38% male), ranging in age from 18 to 78 (M(SD)age= 48.5(15.7)) answered demographical questions, Korean version of Link’s Perceived Devaluation and Discrimination (PDD) scale for the assessment of social stigmatization against depression, and the Korean version of the WHO-Composite International Diagnostic Interview for the assessment of mental disorders. Multiple-regression was conducted to find the predicting factors of social stigmatization against depression. Ages, sex, years of education, income, living location, and experience of mental illness were used as the predictors. Results: Predictors accounted for 14% of the variance in the stigma of depressive disorders (F(6, 693) = 20.27, p < .001). Among those, only age, years of education, and experience of mental illness significantly predicted social stigmatization against depression. The standardized regression coefficient of age had a negative association with stigmatization (β = -.20, p < .001), but years of education (β = .20, p < .001) and experience of mental illness (β = .08, p < .05) positively predicted depression stigmatization. Conclusions: The present study clearly demonstrates the association between personal factors and depressive disorder stigmatization. Younger age, more education, and self-stigma appeared to increase the stigmatization. Young, highly educated, and mentally ill people tend to reject patients with depressive disorder as friends, teachers, or babysitters; they also tend to think that those patients have lower intelligence and abilities. These results suggest the possibility that people from a high social class, or highly educated people, who have the power to make decisions, help maintain the social stigma against mental illness patients. To increase the awareness that people from high social classes have more stigmatization against depressive disorders will help decrease the biased attitudes against mentally ill patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depressive%20disorder%20stigmatization" title="depressive disorder stigmatization">depressive disorder stigmatization</a>, <a href="https://publications.waset.org/abstracts/search?q=age" title=" age"> age</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a>, <a href="https://publications.waset.org/abstracts/search?q=self-stigma" title=" self-stigma"> self-stigma</a> </p> <a href="https://publications.waset.org/abstracts/1376/effects-of-the-age-education-and-mental-illness-experience-on-depressive-disorder-stigmatization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1376.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">405</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8684</span> The Relationship between Life Event Stress, Depressive Thoughts, and Working Memory Capacity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eid%20Abo%20Hamza">Eid Abo Hamza</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Helal"> Ahmed Helal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: The objective is to measure the capacity of the working memory, ie. the maximum number of elements that can be retrieved and processed, by measuring the basic functions of working memory (inhibition/transfer/update), and also to investigate its relationship to life stress and depressive thoughts. Methods: The study sample consisted of 50 students from Egypt. A cognitive task was designed to measure the working memory capacity based on the determinants found in previous research, which showed that cognitive tasks are the best measurements of the functions and capacity of working memory. Results: The results indicated that there were statistically significant differences in the level of life stress events (high/low) on the task of measuring the working memory capacity. The results also showed that there were no statistically significant differences between males and females or between academic major on the task of measuring the working memory capacity. Furthermore, the results reported that there was no statistically significant effect of the interaction of the level of life stress (high/low) and gender (male/female) on the task of measuring working memory capacity. Finally, the results showed that there were significant differences in the level of depressive thoughts (high/low) on the task of measuring working memory. Conclusions: The current research concludes that neither the interaction of stressful life events, gender, and academic major, nor the interaction of depressive thoughts, gender, and academic major, influence on working memory capacity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=working%20memory" title="working memory">working memory</a>, <a href="https://publications.waset.org/abstracts/search?q=depression" title=" depression"> depression</a>, <a href="https://publications.waset.org/abstracts/search?q=stress" title=" stress"> stress</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20event" title=" life event "> life event </a> </p> <a href="https://publications.waset.org/abstracts/133300/the-relationship-between-life-event-stress-depressive-thoughts-and-working-memory-capacity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133300.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8683</span> Exploring White-Matter Hyperintensities in Patients with Psychiatric Disorders and Their Clinical Relevance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ubaid%20Ullah%20Kamgar">Ubaid Ullah Kamgar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajaz%20Ahmed%20Suhaff"> Ajaz Ahmed Suhaff</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Maqbool%20Dar"> Mohammad Maqbool Dar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The aim is to study the association of MRI findings of T₂/FLAIR white matter hyperintensities among patients with psychiatric disorders. Background and Rationale: MRI findings in psychiatric disorders can vary widely depending on specific disorders and individual differences. However, some general patterns have been observed, such as, in Depression - reduced volume in areas such as the prefrontal cortex and hippocampus; in Schizophrenia - enlarged ventricles, abnormalities in frontal and temporal lobes, as well as hippocampus and thalamus; in Bipolar Disorder – reduced volume in the prefrontal cortex and hippocampus and abnormalities in the amygdala; in OCD – abnormalities in the orbitofrontal cortex, anterior cingulate cortex and striatum. However, many patients show findings of white-matter hyper-intensities, which are usually considered non-specific in psychiatry. These hyperintensities are low attenuation in the deep and white matter. The pathogenic mechanisms of white matter hyperintensities are not well-understood and have been attributed to cerebral small vessel disease. The aim of the study is to study the association of the above MRI findings in patients with psychiatric disorders after ruling out neurological disorders (if any are found). Methodology: Patients admitted to psychiatric hospitals or presenting to OPDs with underlying psychiatric disorders, having undergone MRI Brain as part of investigations, and having T₂/FLAIR white-matter hyperintensities on MRI were taken to study the association of the above MRI findings with different psychiatric disorders. Results: Out of the 22 patients having MRI findings of T₂/FLAIR white-matter hyper-intensities, the underlying psychiatric comorbidities were: Major Depressive Disorder in 7 pts; Obsessive Compulsive Disorder in 5 pts; Bipolar Disorder in 5 pts; Dementia (vascular type) in 5pts. Discussion and conclusion: In our study, the white matter hyper-intensities were found mostly in MDD (32%), OCD (22.7%), Bipolar Disorder (22.7%) and Dementia in 22.7% of patients. In conclusion, the presence of white-matter hyperintensities in psychiatric disorders underscores the complex interplay between vascular, neurobiological and psychosocial factors. Further research with a large sample size is needed to fully elucidate their clinical significance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=white-matter%20hyperintensities" title="white-matter hyperintensities">white-matter hyperintensities</a>, <a href="https://publications.waset.org/abstracts/search?q=OCD" title=" OCD"> OCD</a>, <a href="https://publications.waset.org/abstracts/search?q=MDD" title=" MDD"> MDD</a>, <a href="https://publications.waset.org/abstracts/search?q=dementia" title=" dementia"> dementia</a>, <a href="https://publications.waset.org/abstracts/search?q=bipolar%20disorder." title=" bipolar disorder."> bipolar disorder.</a> </p> <a href="https://publications.waset.org/abstracts/183358/exploring-white-matter-hyperintensities-in-patients-with-psychiatric-disorders-and-their-clinical-relevance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183358.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">61</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8682</span> Pharmacodynamic Enhancement of Repetitive rTMS Treatment Outcomes for Major Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Mech">A. Mech</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Repetitive transcranial magnetic stimulation has proven to be a valuable treatment option for patients who have failed to respond to multiple courses of antidepressant medication. In fact, the American Psychiatric Association recommends TMS after one failed treatment course of antidepressant medication. Genetic testing has proven valuable for pharmacokinetic variables, which, if understood, could lead to more efficient dosing of psychotropic medications to improve outcomes. Pharmacodynamic testing can identify biomarkers, which, if addressed, can improve patients' outcomes in antidepressant therapy. Monotherapy treatment of major depressive disorder with methylated B vitamin treatment has been shown to be safe and effective in patients with MTHFR polymorphisms without waiting for multiple trials of failed medication treatment for depression. Such treatment has demonstrated remission rates similar to antidepressant clinical trials. Combining pharmacodynamics testing with repetitive TMS treatment with NeuroStar has shown promising potential for enhancing remission rates and durability of treatment. In this study, a retrospective chart review (ongoing) of patients who obtained repetitive TMS treatment enhanced by dietary supplementation guided by Pharmacodynamic testing, displayed a greater remission rate (90%) than patients treated with only NeuroStar TMS (62%). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=improved%20remission%20rate" title="improved remission rate">improved remission rate</a>, <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title=" major depressive disorder"> major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacodynamic%20testing" title=" pharmacodynamic testing"> pharmacodynamic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=rTMS%20outcomes" title=" rTMS outcomes"> rTMS outcomes</a> </p> <a href="https://publications.waset.org/abstracts/182184/pharmacodynamic-enhancement-of-repetitive-rtms-treatment-outcomes-for-major-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182184.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">57</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8681</span> Decisional Regret in Men with Localized Prostate Cancer among Various Treatment Options and the Association with Erectile Functioning and Depressive Symptoms: A Moderation Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Caren%20Hilger">Caren Hilger</a>, <a href="https://publications.waset.org/abstracts/search?q=Silke%20Burkert"> Silke Burkert</a>, <a href="https://publications.waset.org/abstracts/search?q=Friederike%20Kendel"> Friederike Kendel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Men with localized prostate cancer (PCa) have to choose among different treatment options, such as active surveillance (AS) and radical prostatectomy (RP). All available treatment options may be accompanied by specific psychological or physiological side effects. Depending on the nature and extent of these side effects, patients are more or less likely to be satisfied or to struggle with their treatment decision in the long term. Therefore, the aim of this study was to assess and explain decisional regret in men with localized PCa. The role of erectile functioning as one of the main physiological side effects of invasive PCa treatment, depressive symptoms as a common psychological side effect, and the association of erectile functioning and depressive symptoms with decisional regret were investigated. Men with localized PCa initially managed with AS or RP (N=292) were matched according to length of therapy (mean 47.9±15.4 months). Subjects completed mailed questionnaires assessing decisional regret, changes in erectile functioning, depressive symptoms, and sociodemographic variables. Clinical data were obtained from case report forms. Differences among the two treatment groups (AS and RP) were calculated using t-tests and χ²-tests, relationships of decisional regret with erectile functioning and depressive symptoms were computed using multiple regression. Men were on average 70±7.2 years old. The two treatment groups differed markedly regarding decisional regret (p<.001, d=.50), changes in erectile functioning (p<.001, d=1.2), and depressive symptoms (p=.01, d=.30), with men after RP reporting higher values, respectively. Regression analyses showed that after adjustment for age, tumor risk category, and changes in erectile functioning, depressive symptoms were still significantly associated with decisional regret (B=0.52, p<.001). Additionally, when predicting decisional regret, the interaction of changes in erectile functioning and depressive symptoms reached significance for men after RP (B=0.52, p<.001), but not for men under AS (B=-0.16, p=.14). With increased changes in erectile functioning, the association of depressive symptoms with decisional regret became stronger in men after RP. Decisional regret is a phenomenon more prominent in men after RP than in men under AS. Erectile functioning and depressive symptoms interact in their prediction of decisional regret. Screening and treating depressive symptoms might constitute a starting point for interventions aiming to reduce decisional regret in this target group. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=active%20surveillance" title="active surveillance">active surveillance</a>, <a href="https://publications.waset.org/abstracts/search?q=decisional%20regret" title=" decisional regret"> decisional regret</a>, <a href="https://publications.waset.org/abstracts/search?q=depressive%20symptoms" title=" depressive symptoms"> depressive symptoms</a>, <a href="https://publications.waset.org/abstracts/search?q=erectile%20functioning" title=" erectile functioning"> erectile functioning</a>, <a href="https://publications.waset.org/abstracts/search?q=prostate%20cancer" title=" prostate cancer"> prostate cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=radical%20prostatectomy" title=" radical prostatectomy"> radical prostatectomy</a> </p> <a href="https://publications.waset.org/abstracts/62967/decisional-regret-in-men-with-localized-prostate-cancer-among-various-treatment-options-and-the-association-with-erectile-functioning-and-depressive-symptoms-a-moderation-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62967.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">218</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8680</span> Educational Attainment Inequalities in Depressive Symptoms in More Than 100 000 Individuals in Europe</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adam%20Chlapecka">Adam Chlapecka</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Kagstrom"> Anna Kagstrom</a>, <a href="https://publications.waset.org/abstracts/search?q=Pavla%20Cermakova"> Pavla Cermakova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Increasing educational attainment (EA) could decrease the occurrence of depression. We investigated the relationship between EA and depressive symptoms in older individuals across four European regions. Methods: We studied 108 315 Europeans (54 % women, median age 63 years old) from the Survey on Health, Ageing and Retirement in Europe assessing EA (7 educational levels based on ISCED classification); and depressive symptoms (≥ 4 points on EURO-D scale). Logistic regression estimated the association between EA and depressive symptoms, adjusting for sociodemographic and health-related factors; testing for sex/age/region and education interactions. Results: Higher EA was associated with lower odds of depressive symptoms, independent of sociodemographic and health-related factors. A threshold of the lowest odds of depressive symptoms was detected at the first stage of tertiary education (OR 0.60; 95% CI 0.55-0.65; p<0.001; relative to no education). Central and Eastern Europe showed the strongest association (OR for high vs. low education 0.37; 95% CI 0.33-0.40; p<0.001) and Scandinavia the weakest (OR for high vs. low education 0.69; 95% CI 0.60-0.80; p<0.001). The association was strongest amongst younger individuals. There was a sex and education interaction only within Central and Eastern Europe. Conclusion: The level of EA is reflected in later-life depressive symptoms, suggesting that supporting individuals in achieving EA, and considering those with lower EA at increased risk for depression, could lead to the decreased burden of depression across the life course. Further educational support in Central and Eastern Europe may decrease the higher burden of depressive symptoms in women. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=depression" title="depression">depression</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=Europe" title=" Europe"> Europe</a> </p> <a href="https://publications.waset.org/abstracts/141865/educational-attainment-inequalities-in-depressive-symptoms-in-more-than-100-000-individuals-in-europe" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">202</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8679</span> Social Support and Depressive Symptoms in Participants of a University of the Third Age: Evidences From a Cross-Sectional Study in Brazil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ana%20Luiza%20Blanco">Ana Luiza Blanco</a>, <a href="https://publications.waset.org/abstracts/search?q=Juliana%20Cordeiro%20Carvalho"> Juliana Cordeiro Carvalho</a>, <a href="https://publications.waset.org/abstracts/search?q=T%C3%A1batta%20Renata%20Pereira%20Brito"> Tábatta Renata Pereira Brito</a>, <a href="https://publications.waset.org/abstracts/search?q=Ariene%20Angelini%20dos%20Santos%20Orlandi"> Ariene Angelini dos Santos Orlandi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ligiana%20Pires%20Corona"> Ligiana Pires Corona</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniella%20Pires%20Nunes"> Daniella Pires Nunes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Depressive symptoms are recurrent in older adults and affect the quality of life and well-being of individuals. One of the strategies to reduce depression is social support, but studies are still needed to determine which types of social support are most effective in moderating this effect in certain populations. The objective was to identify the relationship between social support and depressive symptoms in participants of a University of the Third Age. This is a cross-sectional study. Participants were 82 individuals (≥ 50 years) who responded to the Geriatric Depression Scale - GDS and the Medical Outcomes Study - MOS. Data collection was carried out from November 2020 to May 2021. The Chi-Square and Mann Whitney tests were used, at a significance level of 5% for data analysis. Among the participants, 83.4% were female, 57.3% were age between 60 to 69 years, 83.1% studied 12 year or more and 48.1% receive from 4 to 10 minimum wages. The prevalence of depressive symptoms was 12.2%. The type of support with the highest median score was affective (100 points) and the lowest, or emotional (87.5 points). The results showed that participants without depressive symptoms had higher median scores for informational support when compared to those with depressive symptoms (p=0.029). The other types of social support were not statistically significant. The findings suggested that informational support is related to depressive symptoms in older adults. Promote informational support and educational actions in Universities of the Third Age may be an important strategy for preventing depressive symptoms and improve the quality of life of this population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aged" title="aged">aged</a>, <a href="https://publications.waset.org/abstracts/search?q=depressive%20symptoms" title=" depressive symptoms"> depressive symptoms</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20support" title=" social support"> social support</a>, <a href="https://publications.waset.org/abstracts/search?q=university%20of%20the%20third%20age" title=" university of the third age"> university of the third age</a> </p> <a href="https://publications.waset.org/abstracts/153190/social-support-and-depressive-symptoms-in-participants-of-a-university-of-the-third-age-evidences-from-a-cross-sectional-study-in-brazil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153190.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8678</span> Major Depressive Disorder: Diagnosis based on Electroencephalogram Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wajid%20Mumtaz">Wajid Mumtaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Aamir%20Saeed%20Malik"> Aamir Saeed Malik</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20Saad%20Azhar%20Ali"> Syed Saad Azhar Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Azhar%20Mohd%20Yasin"> Mohd Azhar Mohd Yasin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a technique based on electroencephalogram (EEG) analysis is presented, aiming for diagnosing major depressive disorder (MDD) among a potential population of MDD patients and healthy controls. EEG is recognized as a clinical modality during applications such as seizure diagnosis, index for anesthesia, detection of brain death or stroke. However, its usability for psychiatric illnesses such as MDD is less studied. Therefore, in this study, for the sake of diagnosis, 2 groups of study participants were recruited, 1) MDD patients, 2) healthy people as controls. EEG data acquired from both groups were analyzed involving inter-hemispheric asymmetry and composite permutation entropy index (CPEI). To automate the process, derived quantities from EEG were utilized as inputs to classifier such as logistic regression (LR) and support vector machine (SVM). The learning of these classification models was tested with a test dataset. Their learning efficiency is provided as accuracy of classifying MDD patients from controls, their sensitivities and specificities were reported, accordingly (LR =81.7 % and SVM =81.5 %). Based on the results, it is concluded that the derived measures are indicators for diagnosing MDD from a potential population of normal controls. In addition, the results motivate further exploring other measures for the same purpose. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title="major depressive disorder">major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis%20based%20on%20EEG" title=" diagnosis based on EEG"> diagnosis based on EEG</a>, <a href="https://publications.waset.org/abstracts/search?q=EEG%20derived%20features" title=" EEG derived features"> EEG derived features</a>, <a href="https://publications.waset.org/abstracts/search?q=CPEI" title=" CPEI"> CPEI</a>, <a href="https://publications.waset.org/abstracts/search?q=inter-hemispheric%20asymmetry" title=" inter-hemispheric asymmetry"> inter-hemispheric asymmetry</a> </p> <a href="https://publications.waset.org/abstracts/22303/major-depressive-disorder-diagnosis-based-on-electroencephalogram-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22303.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">546</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8677</span> A Case Report on the Course and Outcome of a Patient Diagnosed with Trichotillomania and Major Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziara%20Carmelli%20G.%20Tan">Ziara Carmelli G. Tan</a>, <a href="https://publications.waset.org/abstracts/search?q=Irene%20Carmelle%20S.%20Tan"> Irene Carmelle S. Tan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Trichotillomania (TTM) and Major Depressive Disorder (MDD) are two psychiatric conditions that frequently co-occur, presenting a significant challenge for treatment due to their complex interplay. TTM involves repetitive hair-pulling, leading to noticeable hair loss and distress, while MDD is characterized by persistent low mood and loss of interest or pleasure, leading to dysfunctionality. This case report examines the intricate relationship between TTM and MDD in a young adult female, emphasizing the need for a comprehensive, multifaceted therapeutic approach to address both disorders effectively. Case Presentation: The patient is a 21-year-old female college student and youth church leader who presented with chronic hair-pulling and depressive symptoms. Her premorbid personality was marked by low self-esteem and a strong need for external validation. Despite her academic and social responsibilities and achievements, she struggled with managing her emotional distress, which was exacerbated by her family dynamics and her role within her church community. Her hair-pulling and mood symptoms were particularly triggered by self-esteem threats and feelings of inadequacy. She was diagnosed with Trichotillomania, Scalp and Major Depressive Disorder. Intervention/Management: The patient’s treatment plan was comprehensive, incorporating both pharmacological and non-pharmacological interventions. Initial pharmacologic management was Fluoxetine 20mg/day up, titrated to 40mg/day with no improvement; hence, shifted to Escitalopram 20mg/day and started with N-acetylcysteine 600mg/day with noted significant improvement in symptoms. Psychotherapeutic strategies played a crucial role in her treatment. These included supportive-expressive psychodynamic psychotherapy, which helped her explore and understand underlying emotional conflicts. Cognitive-behavioral techniques were employed to modify her maladaptive thoughts and behaviors. Grief processing was integrated to help her cope with significant losses. Family therapy was done to address conflicts and collaborate with the treatment process. Psychoeducation was provided to enhance her understanding of her condition and to empower her in her treatment journey. A suicide safety plan was developed to ensure her safety during critical periods. An interprofessional approach, which involved coordination with the Dermatology service for co-management, was also a key component of her treatment. Outcome: Over the course of 15 therapy sessions, the patient demonstrated significant improvement in both her depressive symptoms and hair-pulling behavior. Her active engagement in therapy, combined with pharmacological support, facilitated better emotional regulation and a more cohesive sense of self. Her adherence to the treatment plan, along with the collaborative efforts of the interprofessional team, contributed to her positive outcomes. Discussion: This case underscores the significance of addressing both TTM and its comorbid conditions to achieve effective treatment outcomes. The intricate interplay between TTM and MDD in the patient’s case highlights the importance of a comprehensive treatment plan that includes both pharmacological and psychotherapeutic approaches. Supportive-expressive psychodynamic psychotherapy, Cognitive-behavioral techniques, and Family therapy were particularly beneficial in addressing the complex emotional and behavioral aspects of her condition. The involvement of an interprofessional team, including dermatology co-management, was crucial in providing holistic care. Future practice should consider the benefits of such a multidisciplinary approach to managing complex cases like this, ensuring that both the psychological and physiological aspects of the disorders are adequately addressed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive-behavioral%20therapy" title="cognitive-behavioral therapy">cognitive-behavioral therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=interprofessional%20approach" title=" interprofessional approach"> interprofessional approach</a>, <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title=" major depressive disorder"> major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=psychodynamic%20psychotherapy" title=" psychodynamic psychotherapy"> psychodynamic psychotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=trichotillomania" title=" trichotillomania"> trichotillomania</a> </p> <a href="https://publications.waset.org/abstracts/188942/a-case-report-on-the-course-and-outcome-of-a-patient-diagnosed-with-trichotillomania-and-major-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188942.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">30</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8676</span> Integrating Dynamic Brain Connectivity and Transcriptomic Imaging in Major Depressive Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qingjin%20Liu">Qingjin Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinpeng%20Niu"> Jinpeng Niu</a>, <a href="https://publications.waset.org/abstracts/search?q=Kangjia%20Chen"> Kangjia Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiao%20Li"> Jiao Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Huafu%20Chen"> Huafu Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Liao"> Wei Liao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Functional connectomics is essential in cognitive science and neuropsychiatry, offering insights into the brain's complex network structures and dynamic interactions. Although neuroimaging has uncovered functional connectivity issues in Major Depressive Disorder (MDD) patients, the dynamic shifts in connectome topology and their link to gene expression are yet to be fully understood. To explore the differences in dynamic connectome topology between MDD patients and healthy individuals, we conducted an extensive analysis of resting-state functional magnetic resonance imaging (fMRI) data from 434 participants (226 MDD patients and 208 controls). We used multilayer network models to evaluate brain module dynamics and examined the association between whole-brain gene expression and dynamic module variability in MDD using publicly available transcriptomic data. Our findings revealed that compared to healthy individuals, MDD patients showed lower global mean values and higher standard deviations, indicating unstable patterns and increased regional differentiation. Notably, MDD patients exhibited more frequent module switching, primarily within the executive control network (ECN), particularly in the left dorsolateral prefrontal cortex and right fronto-insular regions, whereas the default mode network (DMN), including the superior frontal gyrus, temporal lobe, and right medial prefrontal cortex, displayed lower variability. These brain dynamics predicted the severity of depressive symptoms. Analyzing human brain gene expression data, we found that the spatial distribution of MDD-related gene expression correlated with dynamic module differences. Cell type-specific gene analyses identified oligodendrocytes (OPCs) as major contributors to the transcriptional relationships underlying module variability in MDD. To the best of our knowledge, this is the first comprehensive description of altered brain module dynamics in MDD patients linked to depressive symptom severity and changes in whole-brain gene expression profiles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorder" title="major depressive disorder">major depressive disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=module%20dynamics" title=" module dynamics"> module dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=magnetic%20resonance%20imaging" title=" magnetic resonance imaging"> magnetic resonance imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=transcriptomic" title=" transcriptomic"> transcriptomic</a> </p> <a href="https://publications.waset.org/abstracts/190173/integrating-dynamic-brain-connectivity-and-transcriptomic-imaging-in-major-depressive-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190173.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">25</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorders&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorders&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=major%20depressive%20disorders&page=4">4</a></li> <li class="page-item"><a class="page-link" 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