Results 41 to 50 of about 827,746 (374)

Prevalence and correlates of depressive disorders in people with Type 2 diabetes: results from the International Prevalence and Treatment of Diabetes and Depression (INTERPRET‐DD) study, a collaborative study carried out in 14 countries [PDF]

, 2018
Aims To assess the prevalence and management of depressive disorders in people with Type 2 diabetes in different countries. Methods People with diabetes aged 18–65 years and treated in outpatient settings were recruited in 14 countries and underwent
Ahmed, H. U., Alvarez, A., Bahendeka, S., Basangwa, D., Boborov, A. E., Boden, S., Bulgari, V., Burti, L., Chaturvedi, S. K., Cimino, L. C., de Girolamo, G., Gaebel, W., Gondek, T. M., Guinzbourg de Braude, M., Guntupalli, A., Heinze, M. G., Hong, X., Ji, L., Kamala, T., Khan, A., Kiejna, A., Kokoszka, A., Lalic, N. M., Lecic Tosevski, D., Li, M., Lloyd, C. E., Mankovsky, B., Musau, A., Mussig, K., Ndetei, D., Nouwen, A., Rabbani, G., Sartorius, N., Shevchuk, M., Srikanta, S. S., Starostina, E. G., Taj, R., Vukovic, O., Wolwer, W., Xin, Y.   +39 more
core   +2 more sources

DEPA: Self-Supervised Audio Embedding for Depression Detection [PDF]

In Proceedings of the 29th ACM International Conference on Multimedia. Association for Computing Machinery, New York, NY, USA, 2021, 2019
Depression detection research has increased over the last few decades, one major bottleneck of which is the limited data availability and representation learning. Recently, self-supervised learning has seen success in pretraining text embeddings and has been applied broadly on related tasks with sparse data, while pretrained audio embeddings based on ...
arxiv   +1 more source

Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

JAMA psychiatry, 2015
IMPORTANCE Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC).
R. Kaiser, J. Andrews-Hanna, T. Wager, D. Pizzagalli   +3 more
semanticscholar   +1 more source

A gene co-expression network-based analysis of multiple brain tissues reveals novel genes and molecular pathways underlying major depression.

PLoS Genetics, 2019
Major depression is a common and severe psychiatric disorder with a highly polygenic genetic architecture. Genome-wide association studies have successfully identified multiple independent genetic loci that harbour variants associated with major ...
Zachary F Gerring, Eric R Gamazon, Eske M Derks, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium   +3 more
doaj   +1 more source

Do Suicide Attempts of Mood Disorder Patients Directly Increase the Risk for a Reattempt?

Frontiers in Psychiatry, 2020
Background: Preceding suicide attempts strongly predict future suicidal acts. However, whether attempting suicide per se increases the risk remains undetermined.
Kari I. Aaltonen, Kari I. Aaltonen, Tom Rosenström, Tom Rosenström, Pekka Jylhä, Pekka Jylhä, Irina Holma, Irina Holma, Mikael Holma, Mikael Holma, Sanna Pallaskorpi, Sanna Pallaskorpi, Kirsi Riihimäki, Kirsi Suominen, Maria Vuorilehto, Maria Vuorilehto, Erkki T. Isometsä, Erkki T. Isometsä   +17 more
doaj   +1 more source

Differential diagnosis of bipolar disorder and major depressive disorder [PDF]

, 2014
BackgroundPatients with bipolar disorder spend approximately half of their lives symptomatic and the majority of that time suffering from symptoms of depression, which complicates the accurate diagnosis of bipolar disorder.MethodsChallenges in the ...
Hirschfeld, R.M.
core   +1 more source

Patient-reported outcomes in major depressive disorder with suicidal ideation: a real-world data analysis using PatientsLikeMe platform

BMC Psychiatry, 2020
Background The current analysis utilized data collected via an online patient community platform, PatientsLikeMe (PLM) to compare patient-reported experiences in patients with major depressive disorder (MDD) with suicidal ideation (MDSI) to those with ...
Stephane Borentain, Abigail I. Nash, Rachna Dayal, Allitia DiBernardo   +3 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  

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, A. Fournier, Tammy Sisitsky, C. Pike, R. Kessler   +4 more
semanticscholar   +1 more source

Serum level of soluble interleukin 6 receptor is a useful biomarker for identification of treatment‐resistant major depressive disorder

Neuropsychopharmacology Reports, 2020
Aim A substantial proportion of major depressive disorder patients are treatment‐resistant to antidepressant therapy, who require augmentation drugs, or other treatments including electroconvulsive therapy or transcranial magnetic stimulation ...
Katsuhiko Yamasaki, Tomonori Hasegawa, Masatoshi Takeda   +2 more
doaj   +1 more source