Objective: Sleep disturbances are one of the most common behavioral problems in childhood. Sleep problems have an even greater prevalence in children with epilepsy and are one of the most common comorbid conditions in childhood epilepsy.
Materials & Methods: This descriptive-correlation study with the general goal of determining the effects of epilepsy on sleep habits of epileptic children was conducted in Hamadan, western Iran, in 2014. Sampling was done using convenience sampling techniques. Data were collected using the Early Childhood Epilepsy Severity Scale (E-Chess) and Children's Sleep Habits Questionnaire (CSHQ) and analyzed using SPSS and descriptive and inferential statistics.
Results: The mean score of sleep habits was 55/08±6/71. Bedtime resistance (12/14±2/93), parasomnias (11/02±1/84) and sleep anxiety (8/29±2/46) were the most frequent sleep disorders in the studied sample. Based on Pearson's r, there were significant positive bidirectional relationships between bedtime resistance (r =0.129, <0.019), parasomnias (r =0.298, <0.005), sleep-disordered breathing (r =0.295, <0.005), CSHQ total score (r =0.144, <0.022) on the one hand, and children's epilepsy severity on the other.
Conclusion: Sleep problems should not be overlooked, and a comprehensive review of the sleep habits of this group of patients should be conducted.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451861 | PMC |
Psychiatry Clin Psychopharmacol
December 2024
Sleep and Disorders Unit, Division of Clinical Neurophysiology, Department of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, İstanbul, Türkiye.
Background: Weighted blankets have recently introduced in the treatment on insomnia as a nonpharmacological integrative therapy. Here we prospectively evaluated the effects of weighted blankets on the sleep structure and heart rate variability (HRV) in patients with primary psychophysiological insomnia.
Methods: In this prospective polysomnographic (PSG) study between August 2021 and August 2022, patients were given weighted blankets (~10% of body weight) to use at home for 10 nights consecutively.
Vaccines (Basel)
November 2024
Department of Social and Environmental Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Background/objectives: Although the protective effects of zinc against COVID-19 are documented, its impact on COVID-19 vaccine immunogenicity remains unknown.
Methods: We conducted a prospective study involving a cohort of 79 Japanese individuals (aged 21-56 years; comprising three subcohorts) and measured their serum zinc levels pre-vaccination and anti-SARS-CoV-2 IgM/IgG levels pre- and post-vaccination over 4 months.
Results: Serum zinc concentrations ranged between 74-140 and 64-113 μg/dL in male and female individuals, respectively, with one male and 11 female participants exhibiting subclinical zinc deficiency (60-80 μg/dL).
Sensors (Basel)
December 2024
Centre for Sleep Medicine Kempenhaeghe, 5590 AB Heeze, The Netherlands.
Continuous respiration monitoring is an important tool in assessing the patient's health and diagnosing pulmonary, cardiovascular, and sleep-related breathing disorders. Various techniques and devices, both contact and contactless, can be used to monitor respiration. Each of these techniques can provide different types of information with varying accuracy.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Research Group for Implantable Microsystems, Faculty of Information Technology & Bionics, Pázmány Péter Catholic University, H-1083 Budapest, Hungary.
The aim of this work is to incorporate lanthanide-cored upconversion nanoparticles (UCNP) into the surface of microengineered biomedical implants to create a spatially controlled and optically releasable model drug delivery device in an integrated fashion. Our approach enables silicone-based microelectrocorticography (ECoG) implants holding platinum/iridium recording sites to serve as a stable host of UCNPs. Nanoparticles excitable in the near-infrared (lower energy) regime and emitting visible (higher energy) light are utilized in a study.
View Article and Find Full Text PDFSensors (Basel)
December 2024
ActiGraph LLC, Pensacola, FL 32502, USA.
Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. In this study, we applied a deep learning domain adversarial convolutional neural network (DACNN) model to this task and demonstrated that this new model outperformed existing sleep algorithms in classifying sleep-wake and estimating sleep outcomes based on wrist-worn accelerometry. This model generalized well to another dataset based on different wearable devices and activity counts, achieving an accuracy of 80.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!