We used a self-report questionnaire to identify outpatients with chronic symptoms of sleep disorders and/or high pretest probability for sleep apnea as well as for restless legs syndrome (RLS), insomnia, and narcolepsy. Surveys were presented to patients waiting for an appointment in Veterans Administration (VA) Medical Center clinics in Northeast Ohio, USA. Items addressed the frequency of snoring behavior; wake time sleepiness or fatigue and history of obesity/hypertension for high risk for sleep apnea (Netzer et al. 1999), along with other symptoms, were scored as positive vs negative risk for insomnia, narcolepsy, and RLS. Of the patients offered the surveys, 886 (59.2%) provided timely responses to the questionnaire. Mean age was 62.5 years (range, 19 to 85 years); 95% were males; mean body mass index was 29.3 kg/cm(2) (range, 15.1 to 57.5 kg/cm(2)); and mean Epworth Sleepiness Scale score was 8.3 (range, 1 to 22) with 4.6% having a score >17. Of the respondents, 47.4% met high-risk criteria for sleep apnea, 41.7% for insomnia, 19% for restless leg syndrome, and 4.7% for narcolepsy. Twenty-four percent reported use of sleeping pills or bedtime alcohol. Drowsy driving >3-4 days a week or every day was reported in 5.7%. VA primary care patients have high prevalence for pretest probability for sleep apnea. This population also reports chronic symptoms for other sleep disorders and for drowsy driving.
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http://dx.doi.org/10.1007/s11325-005-0016-z | DOI Listing |
Eur J Prev Cardiol
January 2025
Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
Aim: Sleep apnoea syndrome (SAS) is a common sleep disorder associated with heightened cardiovascular risks, yet sex-specific differences in these risks remain unclear.
Methods: This retrospective observational cohort study utilized the JMDC Claims Database, covering >5 million individuals in Japan. We analyzed data from 4,173,702 individuals (2,406,930 men, 1,766,772 women) after excluding those with central SAS, cardiovascular disease, and incomplete lifestyle questionnaire data.
J Contemp Dent Pract
October 2024
Department of Prosthodontics, Dr. D.Y. Patil Dental College & Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Aim: The current study aimed to assess the oropharyngeal space using cone-beam computed tomography (CBCT) and its effect on airway volume both before and after denture placement.
Materials And Methods: For this investigation, a total of 15 individuals with fully edentulous upper and lower ridges, ranging in age from 40 to 70, were taken into consideration. A recording of the pulmonary function test was made both prior to and following full denture recovery.
Epileptic Disord
January 2025
Section of Neurology, Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Eur J Orthod
December 2024
Professor, Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul 02453, Republic of Korea.
Objectives: We aimed to characterize a craniofacial skeletal phenotype (CSP) of adult obstructive sleep apnea (OSA) patients from a multidimensional perspective, exploring the impact of transverse skeletal discrepancy (TSD) on multivariable polysomnographic profiles.
Materials And Methods: This retrospective, cross-sectional study included 102 adult OSA patients. Sagittal, vertical, and transverse skeletal patterns were categorized on the cone beam computed tomography images.
J Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
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