Objective: Sleep complaints are often associated with anxiety and depression, but the specific complaints related to each syndrome are poorly characterized, especially in older adults. The objective was to identify subjective sleep characteristics specific to anxiety and depression in this population.
Methods: A random sample of 2393 individuals aged 65 years or older was used. Anxiety and depression were categorized using DSM-V criteria for phobias, panic disorder, generalized anxiety disorder, unspecified anxiety disorder, major depressive episode, and depressive episode with insufficient symptoms. Subjective sleep characteristics were measured using the Pittsburgh Sleep Quality Index. Logistic regression models predicting anxiety or depression were used to determine the independent sleep characteristics associated with each syndrome adjusting for age, sex, education level, cognitive functioning, anxiolytic/sedative/hypnotic use, antidepressants use, subjective health, chronic diseases, cardiovascular conditions, and anxiety or depression (as appropriate).
Results: Nearly all Pittsburgh Sleep Quality Index subscales were significantly associated with anxiety, but these subscales shared variance and only sleep duration in hours, sleep disturbance score, and daytime functioning score were independently related to anxiety. Within these significant subscales, the main specific sleep complaints associated with anxiety were daytime sleepiness and sleep disturbances related to coughing/snoring, feeling cold, and bad dreams. The use of sleeping medication was the only specific sleep characteristic associated with depression.
Conclusions: These results suggest that in older adults, symptoms of short sleep duration, daytime sleepiness and sleep disturbances are independently related to anxiety while the use of sleep medication is independently associated to depression.
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http://dx.doi.org/10.1002/gps.4106 | DOI Listing |
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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