Epidemiological trends towards a 'graying' population make the issue of insomnia in the elderly an increasingly important research and clinical topic. It is often challenging to determine how much of a psychiatric dimension there is to a clinical condition that is best viewed as both as a symptom and a true psychosomatic entity in its own right. To categorize insomnia as either psychiatric or medically based risks oversimplification of the complexities of sleep disruption in the elderly. Normal senescence-related changes in sleep architecture and circadian rhythms must be considered, as well as the frequent medical comorbidities that may affect sleep. Psychiatric diagnoses to consider include mood and anxiety disorders, which may be affected equally by physiological and psychological changes implicit in old age. Sleep disruption related to dementia is of particular interest to clinicians involved with patients in long-term care facilities. Insomnia may occasionally be iatrogenically induced or exacerbated, and particularly antidepressants must be carefully selected for this reason. Light therapy and behavior therapies are important in multimodal treatment of insomnia, and sleep hygiene includes both regular physical and social activities to preserve entrainment of circadian rhythms affecting sleep.
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http://dx.doi.org/10.1016/S1087-0792(03)00022-4 | DOI Listing |
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
Cureus
December 2024
Faculty of Medical Sciences, The University of the West Indies, St. Augustine, TTO.
A 38-year-old paint technician who worked rotating shifts reported mild sleep disruptions and increased fatigue. The company's medical staff reviewed his work patterns, rest habits, and home environment. They introduced a personalized sleep hygiene program and adjusted his break schedule, allowing short, structured rest periods.
View Article and Find Full Text PDFAlcohol
January 2025
Department of Neuroscience, The Scripps Research Institute, La Jolla CA 92037. Electronic address:
Disturbance in sleep and activity rhythms are significant health risks associated with alcohol use during adolescence. Many investigators support the theory of a reciprocal relationship between disrupted circadian rhythms, sleep patterns, and alcohol usage. However, in human studies it is difficult to disentangle other factors (i.
View Article and Find Full Text PDFFront Neurosci
January 2025
Department of Evidence-Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, Sichuan, China.
Introduction: Sleep deprivation (SD) significantly disrupts the homeostasis of the cardiac-brain axis, yet the neuromodulation effects of deep magnetic stimulation (DMS), a non-invasive and safe method, remain poorly understood.
Methods: Sixty healthy adult males were recruited for a 36-h SD study, they were assigned to the DMS group or the control group according to their individual willing. All individuals underwent heart sound measurements and functional magnetic resonance imaging scans at the experiment's onset and terminal points.
Health Econ
January 2025
Big Data Analysis Department, Central Bank of Chile, Santiago, Chile.
Under the evidence that the Daylight Saving Time (DST) regime does not accomplish its primary goal of saving energy, I analyze one of the main side effects, automobile accidents in Chile between 2002 and 2018. I use a Regression Discontinuity Design (RDD) exploiting the discrete nature of the transition into DST and a Difference-in-Difference (DID) approach, taking advantage of the changes in dates that the policy starts and ends over the years. I find a 2.
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