Background: Sudden sensorineural hearing loss (SSNHL) occurs as an unexplained, rapid loss of hearing that can cause significant stress in the affected individual. This study aims to assess the risk of depressive disorders in SSNHL patients.
Methods: From the National Health Insurance Research Database (NHIRD) in Taiwan, we identified new SSNHL patients diagnosed by an otolaryngologist between January 01, 2000, and December 31, 2008. A control group was composed of individuals who had never suffered from SSNHL. A total of 1717 SSNHL patients and 6868 individuals without SSNHL who were matched by sex, age and index date were followed until December 31, 2009, unless otherwise diagnosed with depressive disorders by a psychiatrist or deceased.
Results: The results found that after adjusting for patients' age, sex, comorbidities, urbanization, and monthly income, SSNHL patients are 2.17 times more at risk (95% confidence interval [CI], 1.51-3.08, p<.001) for depressive disorders then control patients, especially in younger age groups (<60 years old).
Conclusions: Our study indicated an increased risk of developing depressive disorders in patients with SSNHL, particularly for younger patients. Symptoms of depression should be regularly evaluated in patients with SSNHL.
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http://dx.doi.org/10.1016/j.jad.2016.03.020 | DOI Listing |
J Affect Disord
January 2025
Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Anhui Province, Hefei 230022, China; Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China. Electronic address:
Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but the underlying neuromodulatory mechanisms remain largely unknown. Functional stability represents a newly developed method based on the dynamic functional connectivity framework. This study aimed to explore ECT-evoked changes in functional stability and their relationship with clinical outcomes.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
View Article and Find Full Text PDFJ Affect Disord
January 2025
University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Canada. Electronic address:
Aim: Major depressive disorder (MDD) is characterized by altered activity in various higher-order regions like the anterior cingulate and prefrontal cortex. While some findings also show changes in lower-order sensory regions like the occipital cortex in MDD, the latter's exact neural and temporal, e.g.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen university, 510080, Guangzhou, China; Guangdong Engineering Technology Research Center of Nutrition Translation, 510080, Guangzhou, China. Electronic address:
The association between childhood trauma (CT), stressful life events (SLE) and the onset and severity of major depressive disorder (MDD) has not been extensively studied. This study aimed to investigate the separate and combined association of CT and SLE with the onset and severity of MDD. A total of 503 patients with MDD and 503 controls were included.
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