scholarly journals General dental practitioners' knowledge and opinions of snoring and sleep-related breathing disorders

BDJ ◽  
2021 ◽  
Vol 231 (9) ◽  
pp. 569-574
Author(s):  
Charlotte Leigh ◽  
Maurice Faigenblum ◽  
Peter Fine ◽  
Robert Blizard ◽  
Albert Leung
Keyword(s):  
Sleep Disturbances ◽  
Postgraduate Education ◽  
Knowledge Score ◽  
Vital Role ◽  
Sleep Related Breathing Disorders ◽  
Breathing Disorders ◽  
Dental Practitioners ◽  
Social Media Platforms ◽  
Risk Patients ◽  
Dental Curriculum

AbstractAims There is increasing recognition that sleep disturbances can affect lifestyle, economy and health. General dental practitioners (GDPs) can play a vital role in helping to identify at-risk patients through screening as well as aid in the management of these conditions. The aim of this study was to assess the knowledge of UK-based GDPs in relation to sleep-related breathing disorders (SRBDs).Material and methods A questionnaire was developed to assess GDPs' knowledge of SRBDs and their current practice in relation to the management of SRBDs, and identify the factors associated with improved knowledge and management. A volunteer sample was recruited from social media platforms and conference attendees.Results In total, 152 GDPs completed the questionnaire; 101 (66% [95% CI 59%,74%]) agreed that GDPs should ask their patients about sleep disorders, while only 82 (54% [95% CI 46%,62%]) confirmed that they actually asked their patients about the problem. On a 22-point knowledge scale, the mean score was 12.93 (95%CI 12.23, 13.63). Postgraduate education (F = 5.47; p = 0.001), increasing age (r = 0.23; p = 0.005) and GDP workplace (F = 4.98; p = 0.008) contributed to a higher knowledge score. GDPs were strongly in favour of having more information (N = 141; 93% [95% CI 87%,97%]).Conclusion Although GDPs' knowledge of SRBDs was better than anticipated, they clearly felt a need for further information and training. There is a compelling case to include this subject in the undergraduate dental curriculum.

Neuromuscular disorders and sleep

2017 ◽  
Author(s):  
Katerina Sajgalikova ◽  
Erik K. St. Louis ◽  
Peter Gay
Keyword(s):  
Sleep Disturbances ◽  
Sleep Disordered Breathing ◽  
Neuromuscular Disorders ◽  
Management Strategies ◽  
Neuromuscular Disorder ◽  
Sleep Related Breathing Disorders ◽  
Breathing Disorders ◽  
And Control ◽  
Prompt Diagnosis ◽  
Lateral Sclerosis

This chapter examines the range of sleep disturbances seen in patients with neuromuscular disorders, particularly emphasizing sleep-related breathing disorders which may be a presenting manifestation of neuromuscular disorders, and which significantly contribute to morbidity and mortality in this patient population. It provides an overview of physiological and pathological alterations in neuromuscular breathing mechanisms and control during sleep. The symptoms and forms of sleep disordered breathing (SDB) seen in specific neuromuscular disorders such as amyotrophic lateral sclerosis, myopathies, and disorders of neuromuscular junction transmission are reviewed. The chapter concludes with a discussion of management strategies for neuromuscular disorder patients with SDB, which is common in such patients, requiring generalists, neurologists, and sleep physicians to work together toward prompt diagnosis and optimal treatment approaches.

scholarly journals Analysis of sleep characteristics in post-polio syndrome patients

2010 ◽  
Vol 68 (4) ◽  
pp. 535-540 ◽  
Author(s):  
Tatiana Mesquita e Silva ◽  
Gustavo Antonio Moreira ◽  
Abrahão Augusto Juviniano Quadros ◽  
Márcia Pradella-Hallinan ◽  
Sergio Tufik ◽  
...  
Keyword(s):  
Motor Neurons ◽  
Sleep Disturbances ◽  
Sleep Latency ◽  
Periodic Limb Movements ◽  
Sleep Related Breathing Disorders ◽  
Arousal Index ◽  
Abnormal Movements ◽  
Breathing Disorders ◽  
Sleep Analysis ◽  
Carbon Dioxide Levels

The main post-polio syndrome (PPS) symptoms are new weakness, new atrophy, fatigue, pain and sleep disturbances. Polysomnography is the gold standard for sleep analysis. OBJECTIVE: To analyze sleep patterns in PPS patients. METHOD: Sixty patients (mean age 46.8±11.3 years) at the Federal University of São Paulo (UNIFESP/EPM) complaining of sleep disturbances were evaluated by means of polysomnography, performed at the Sleep Institute. RESULTS: Sleep efficiency was lower due to high sleep latency and arousal index. The apnea and hypopnea index (AHI) and the periodic limb movements (PLM) index were higher. Sleep architecture was also impaired. There were no abnormalities of oxygen saturation, carbon dioxide levels, respiratory rate or heart rate. CONCLUSION: New post-polio sleep disturbances were isolated symptoms. It appears that these symptoms were not due to post-polio features, but rather, that they were due to dysfunction of the surviving motor neurons in the brainstem. Abnormal dopamine production, which is responsible for many sleep-related breathing disorders and abnormal movements, may also have been implicated in the present findings.

Essential Dental Public Health

2013 ◽  
Author(s):  
Blánaid Daly ◽  
Paul Batchelor ◽  
Elizabeth Treasure ◽  
Richard Watt
Keyword(s):  
Public Health ◽  
Health Promotion ◽  
Vital Role ◽  
Evidence Based ◽  
Dental Public Health ◽  
Oral Health Promotion ◽  
Dental Practitioners ◽  
The World ◽  
The Subject ◽  
Based Medicine

Public health is a key concern of modern dental practitioners as they continue to play a vital role in the health of populations across the world. The second edition of Essential Dental Public Health identifies the links between clinical practice and public health with a strong emphasis on evidence-based medicine. Fully revised and updated for a second edition, this textbook is split into four parts covering all the need-to-know aspects of the subject: the principles of dental public health, oral epidemiology, prevention and oral health promotion, and the governance and organization of health services. Essential Dental Public Health is an ideal introduction to the field for dentistry undergraduates, as well as being a helpful reference for postgraduates and practitioners.

scholarly journals EXPRESS: Hypoxemia during Sleep and Overnight Rostral Fluid Shift in Pulmonary Arterial Hypertension: a pilot study

2021 ◽  
pp. 204589402199693
Author(s):  
Etienne-Marie Jutant ◽  
David Montani ◽  
Caroline Sattler ◽  
Sven Günther ◽  
Olivier Sitbon ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Pilot Study ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Central Sleep Apnea ◽  
The Body ◽  
Fluid Shift ◽  
Sleep Related Breathing Disorders ◽  
Breathing Disorders ◽  
Pulmonary Arterial

Introduction. Sleep-related breathing disorders, including sleep apnea and hypoxemia during sleep, are common in pulmonary arterial hypertension (PAH), but the underlying mechanisms remain unknown. Overnight fluid shift from the legs to the upper airway and to the lungs promotes obstructive and central sleep apnea, respectively, in fluid retaining states. The main objective was to evaluate if overnight rostral fluid shift from the legs to the upper part of the body is associated with sleep-related breathing disorders in PAH. Methods. In a prospective study, a group of stable patients with idiopathic, heritable, related to drugs, toxins, or treated congenital heart disease PAH underwent a polysomnography and overnight fluid shift measurement by bioelectrical impedance in the month preceding or following a one-day hospitalization according to regular PAH follow-up schedule with a right heart catheterization. Results. Among 15 patients with PAH (women: 87%; median [25th;75th percentiles] age: 40 [32;61] years; mean pulmonary arterial pressure 56 [46;68] mmHg; pulmonary vascular resistance 8.8 [6.4;10.1] Wood units), 2 patients had sleep apnea and 8 (53%) had hypoxemia during sleep without apnea. The overnight rostral fluid shift was 168 [118;263] mL per leg. Patients with hypoxemia during sleep had a greater fluid shift (221 [141; 361] mL) than those without hypoxemia (118 [44; 178] mL, p = 0.045). Conclusion. This pilot study suggests that hypoxemia during sleep is associated with overnight rostral fluid shift in PAH.

scholarly journals Comparison of Frequency and Severity of Sleep-Related Breathing Disorders in Children with Simple Obesity and Paediatric Patients with Prader–Willi Syndrome

2021 ◽  
Vol 11 (2) ◽  
pp. 141
Author(s):  
Agnieszka Lecka-Ambroziak ◽  
Marta Wysocka-Mincewicz ◽  
Anna Świercz ◽  
Małgorzata Jędrzejczak ◽  
Mieczysław Szalecki
Keyword(s):  
Insulin Resistance ◽  
Apnea Hypopnea Index ◽  
Oral Glucose ◽  
Prader Willi Syndrome ◽  
Model Assessment ◽  
Sleep Related Breathing Disorders ◽  
Breathing Disorders ◽  
Simple Obesity ◽  
Rhgh Treatment ◽  
Group 1

Sleep-related breathing disorders (SRBDs) can be present in children with simple obesity and with Prader–Willi syndrome (PWS) and influence an individual diagnostic and treatment approach. We compared frequency and severity of SRBDs in children with simple obesity and with PWS, both without and on recombinant human growth hormone (rhGH) treatment, and correlation of SRBDs with insulin resistance tests. A screening polysomnography-polygraphy (PSG), the oral glucose tolerance test (OGTT) and homeostasis model assessment of insulin resistance (HOMA-IR) were analysed in three groups of patients—with simple obesity (group 1, n = 30, mean age 14.2 years), patients with PWS without the rhGH therapy (group 2, n = 8, mean age 13.0 years) and during the rhGH treatment (group 3, n = 17, mean age 8.9 years). The oxygen desaturation index (ODI) was significantly higher in groups 2 and 3, compared to group 1 (p = 0.00), and hypopnea index (HI) was higher in group 1 (p = 0.03). Apnea–hypopnea index (AHI) and apnea index (AI) results positively correlated with the insulin resistance parameters in groups 1 and 3. The PSG values worsened along with the increasing insulin resistance in children with simple obesity and patients with PWS treated with rhGH that may lead to a change in the patients’ care.

scholarly journals Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 556
Author(s):  
Thaer Thaher ◽  
Mahmoud Saheb ◽  
Hamza Turabieh ◽  
Hamouda Chantar
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Feature Selection ◽  
Language Processing ◽  
User Profile ◽  
Vital Role ◽  
Classification Model ◽  
Fake News ◽  
False Information ◽  
Social Media Platforms

Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive information about a person, organization, or service. Twitter is one of the most widely used social media platforms, especially in the Arab region, where the number of users is steadily increasing, accompanied by an increase in the rate of fake news. This drew the attention of researchers to provide a safe online environment free of misleading information. This paper aims to propose a smart classification model for the early detection of fake news in Arabic tweets utilizing Natural Language Processing (NLP) techniques, Machine Learning (ML) models, and Harris Hawks Optimizer (HHO) as a wrapper-based feature selection approach. Arabic Twitter corpus composed of 1862 previously annotated tweets was utilized by this research to assess the efficiency of the proposed model. The Bag of Words (BoW) model is utilized using different term-weighting schemes for feature extraction. Eight well-known learning algorithms are investigated with varying combinations of features, including user-profile, content-based, and words-features. Reported results showed that the Logistic Regression (LR) with Term Frequency-Inverse Document Frequency (TF-IDF) model scores the best rank. Moreover, feature selection based on the binary HHO algorithm plays a vital role in reducing dimensionality, thereby enhancing the learning model’s performance for fake news detection. Interestingly, the proposed BHHO-LR model can yield a better enhancement of 5% compared with previous works on the same dataset.

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