Results 31 to 40 of about 2,704,449 (214)
Familial aggregation of migraine and depression: Insights from a large Australian twin sample [PDF]
Free to read\ud \ud Objectives: This research examined the familial aggregation of migraine, depression, and their co-occurrence.\ud \ud Methods: Diagnoses of migraine and depression were determined in a sample of 5,319 Australian twins.
Heath, Andrew C+5 more
core +3 more sources
Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic
Key Points Question What is the burden of depression symptoms among US adults during the coronavirus disease 2019 (COVID-19) pandemic compared with before COVID-19, and what are the risk factors associated with depression symptoms?
Catherine K. Ettman+5 more
semanticscholar +1 more source
Background The treatment of major depressive disorder, a highly prevalent disorder associated with pronounced burden, is a large challenge to healthcare systems worldwide.
Caroline Oehler+6 more
doaj +1 more source
Towards More Efficient Depression Risk Recognition via Gait [PDF]
Depression, a highly prevalent mental illness, affects over 280 million individuals worldwide. Early detection and timely intervention are crucial for promoting remission, preventing relapse, and alleviating the emotional and financial burdens associated with depression. However, patients with depression often go undiagnosed in the primary care setting.
arxiv
Cardiac Depression Scale: Mokken scaling in heart failure patients [PDF]
Background: There is a high prevalence of depression in patients with heart failure (HF) that is associated with worsening prognosis. The value of using a reliable and valid instrument to measure depression in this population is therefore essential.
Hare, David L.+4 more
core +4 more sources
Neural Networks with Different Initialization Methods for Depression Detection [PDF]
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
An Ambient Intelligence-based Approach For Longitudinal Monitoring of Verbal and Vocal Depression Symptoms [PDF]
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
Background: While the antidepressant efficacy of guided digital interventions has been proven in randomized controlled trials, findings from routine care are less clear. Low adherence rates are common and limit the potential effectiveness.
Caroline Oehler+5 more
doaj
BackgroundEpimutations secondary to gene-environment interactions have a key role in the pathophysiology of major psychiatric disorders. In vivo and in vitro evidence suggest that mood stabilizers can potentially reverse epigenetic deregulations found in
Manuel Gardea-Resendez+6 more
doaj +1 more source
Re-work Program in Japan—Overview and Outcome of the Program
Background: The objective of this study was to examine the effect of the Japanese re-work program (RP) to aid in recurrent sick leave prevention.Methods: A multicenter retrospective cohort research was conducted for workers who returned to work (RTW ...
Yoko Ohki+5 more
doaj +1 more source