Objective: The aim of this study was to assess the level of anxiety and depression in patients with non-secreting adrenal incidentaloma.
Material And Methods: The study group comprised 26 patients (16 women, 10 men, mean age 45, SD 11 yrs). The Polish version of the State-Trait Anxiety Inventory was used to assess anxiety level, and the Beck Depression Inventory was used to measure depression symptoms.
Results: The anxiety level was increased (median: 45.6 for state, and 46.5 for trait), and mild depression was present, with 13.5 scores on Beck's scale.
Conclusions: Adrenal incidentaloma is associated with increased anxiety and depression.
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Eur Geriatr Med
January 2025
School of Medicine, Trinity College Dublin, Dublin, Ireland.
Purpose: As the global population of older adults rises, the United Nations Decade of Healthy Ageing (2021-2030) advocates for disease prevention, management, and enhancing overall wellbeing in older adults. We reviewed the MEDLINE literature under the MeSH term "music therapy" (MT), for its role in promoting healthy ageing.
Methods: A systematic search of the MEDLINE biomedical database (Ovid) was conducted using "MT" and "Ageing" as keywords, retrieving relevant full-text studies in English.
Sci Rep
January 2025
Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.
Altitude training has been widely adopted. This study aimed to establish a mice model to determine the time point for achieving the best endurance at the lowland. C57BL/6 and BALB/c male mice were used to establish a mice model of hypoxic training with normoxic training mice, hypoxic mice, and normoxic mice as controls.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital), Yantai, Shandong 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China. Electronic address:
Purpose: To elucidate the structural-functional connectivity (SC-FC) coupling in white matter (WM) tracts in patients with major depressive disorder (MDD).
Methods: A total of 178 individuals diagnosed with MDD and 173 healthy controls (HCs) were recruited for this study. The Euclidean distance was calculated to assess SC-FC coupling.
Curr Vasc Pharmacol
January 2025
Department of Cardiology, Ippokrateio University Hospital, Athens, Greece.
Introduction/objective: Emotional, mental, or psychological distress, defined as increased symptoms of depression, anxiety, and/or stress, is common in patients with chronic diseases, such as cardiovascular (CV) disease (CVD).
Methods: Literature was reviewed regarding data from studies and meta-analyses examining the impact of emotional stress on the occurrence and outcome of several CVDs (coronary disease, heart failure, hypertension, arrhythmias, stroke). These influences' pathophysiology and clinical spectrum are detailed, tabulated, and pictorially illustrated.
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