Results 31 to 40 of about 786,893 (341)

Brain aging in major depressive disorder

European Psychiatry, 2021
Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with Major Depressive Disorder (MDD).
L. Han, H. Schnack, R. Brouwer, D. Veltman, N. Van Der Wee, M.-J. Van Tol, M. Aghajani, B. Penninx   +7 more
doaj   +1 more source

A mega-Analysis of genome-wide association studies for major depressive disorder [PDF]

, 2013
Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD.
Lin, Danyu, Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium   +1 more
core   +2 more sources

Glutamate and GABA Homeostasis and Neurometabolism in Major Depressive Disorder

Frontiers in Psychiatry, 2021
Major depressive disorder (MDD) is a leading cause of distress, disability, and suicides. As per the latest WHO report, MDD affects more than 260 million people worldwide.
Ajay Sarawagi, N. Soni, A. Patel
semanticscholar   +1 more source

What patients with bipolar disorder and major depressive disorder perceive as adverse life events precipitating a current major depressive episode

South African Journal of Psychiatry, 2015
Background. Adverse life events (ALEs) as precipitants of a major depressive episode (MDE) have been the subject of many studies. These studies indicate an increase in ALEs in the 6 months preceding an MDE. Objectives.
Robyn Anne van Schoor, Pierre M Joubert
doaj   +1 more source

Major depressive disorder in detention officers

Revista de Saúde Pública, 2021
OBJECTIVE To identify factors associated with major depressive disorder (MDD) in detention officers. METHODS This cross-sectional study included all detention officers from the largest prison complex in the state of Bahia, Brazil.
Sheila Nascimento Santos, Kionna Oliveira Bernardes Santos, Fernando Martins Carvalho, Rita de Cássia Pereira Fernandes   +3 more
doaj   +2 more sources

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

CLASSIFICATION OF BIPOLAR DISORDER, MAJOR DEPRESSIVE DISORDER, AND HEALTHY STATE USING VOICE

Asian Journal of Pharmaceutical and Clinical Research, 2018
Objective: In this study, we propose a voice index to identify healthy individuals, patients with bipolar disorder, and patients with major depressive disorder using polytomous logistic regression analysis.Methods: Voice features were extracted from ...
Masakazu Higuchi, S. Tokuno, M. Nakamura, Shuji Shinohara, S. Mitsuyoshi, Y. Omiya, Naoki Hagiwara, Takeshi Takano, H. Toda, Taku Saito, H. Terashi, H. Mitoma   +11 more
semanticscholar   +1 more source

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

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