A 6-year prospective clinical cohort study on the bidirectional association between frailty and depressive disorder [PDF]
, 2021 Introduction: Depressive disorder has been conceptualised as a condition of accelerated biological ageing. We operationalised a frailty index (FI) as marker for biological ageing aimed to explore the bidirectional, longitudinal association between ...
Aprahamian, Ivan +8 more
core +1 more source
White Matter Alterations in Depressive Disorder
Frontiers in Immunology, 2022 Depressive disorder is the most prevalent affective disorder today. Depressive disorder has been linked to changes in the white matter. White matter changes in depressive disorder could be a result of impaired cerebral blood flow (CBF) and CBF self ...
Enling He +5 more
doaj +1 more source
Non-verbal Facial Action Units-based Automatic Depression Classification [PDF]
arXiv, 2022 Depression is a common mental disorder that causes people to experience depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth. Traditional clinical depression diagnosis methods are subjective and time consuming. Since depression can be reflected by human facial expressions, We propose a non-verbal facial behavior-based ...
arxiv
SOCIAL PREDICTORS OF DEPRESSIVE DISORDERS IN ADOLESCENTS [PDF]
, 2020 The role of social-demographic and psychological factors in predicting of depressive disorder development in adolescents (infantilism, impaired cognitive social functioning, impaired family relations) is clarified.
Tetiana Matkovska
core +3 more sources
BMC Psychiatry, 2023 Objective The aim was to determine the prevalence of depressive disorder and associated psychological factors among adolescents living with HIV/AIDS. Methods One hundred and five adolescents with HIV were assessed for self-esteem, internalized HIV stigma
Lawal RO +5 more
doaj +1 more source
Neural Networks with Different Initialization Methods for Depression Detection [PDF]
arXiv, 2022 As a common mental disorder, depression is a leading cause of various diseases worldwide. Early detection and treatment of depression can dramatically promote remission and prevent relapse. However, conventional ways of depression diagnosis require considerable human effort and cause economic burden, while still being prone to misdiagnosis.
arxiv
Adherence to highly active antiretroviral therapy in depressed patients with HIV/AIDS attending a Nigerian university teaching hospital clinic [PDF]
, 2010 Objective: Key words: Medication adherence; Depressive disorder; Highly Active Antiretroviral Therapy; HIV infectionTo determine the prevalence of depressive disorder in patients with HIV/AIDS receiving HAART; to determine the effect of depressive ...
Baiyewu, O, Olisah, VO, Sheikh, TL
core +2 more sources
An Ambient Intelligence-based Approach For Longitudinal Monitoring of Verbal and Vocal Depression Symptoms [PDF]
arXiv, 2023 Automatic speech recognition (ASR) technology can aid in the detection, monitoring, and assessment of depressive symptoms in individuals. ASR systems have been used as a tool to analyze speech patterns and characteristics that are indicative of depression. Depression affects not only a person's mood but also their speech patterns.
arxiv
Maintenance deep transcranial magnetic stimulation sessions are associated with reduced depressive relapses in patients with unipolar or bipolar depression [PDF]
, 2015 Introduction: Deep transcranial magnetic stimulation (dTMS) is a new form of TMS allowing safe stimulation of deep brain regions. The objective of this preliminary study was to assess the role of dTMS maintenance sessions in protecting patients with ...
ANGELETTI, Gloria +11 more
core +2 more sources
The economic burden of adults with major depressive disorder in the United States (2005 and 2010).
Journal of Clinical Psychiatry, 2015 BACKGROUND The economic burden of depression in the United States--including major depressive disorder (MDD), bipolar disorder, and dysthymia--was estimated at $83.1 billion in 2000.
P. Greenberg +4 more
semanticscholar +1 more source