: The risk assessment of Obstructive Sleep Apnea (OSA) and Excessive Daytime Sleepiness (EDS) in specific occupational populations is important due to its association with morbidity. The aim of the present study was to identify the risk of OSA development and EDS in a Greek nursing staff population. : In this cross-sectional study a total of 444 nurses, 56 males (age = 42.91 ± 5.76 years/BMI = 27.17 ± 4.32) and 388 females (age = 41.41 ± 5.92 years/BMI = 25.08 ± 4.43) working in a Greek secondary and tertiary hospital participated during the period from 18 January 2015 to 10 February 2015. The participants completed the Berlin Questionnaire (BQ), concerning the risk for OSA and the Epworth Sleepiness Scale (ESS), concerning the EDS. The work and lifestyle habits of the participants were correlated with the results of the questionnaires. : According to the BQ results 20.5% ( = 91) of the nursing staff was at high risk for OSA. Increased daytime sleepiness affected 27.7% ( = 123) of the nurses according to ESS results. Nurses at risk for Obstructive Sleep Apnea Syndrome (OSAS), positive for both BQ and ESS, were 7.66% ( = 34). Out of the nurses that participated 77% ( = 342) were working in shifts status and had significant meal instability (breakfast < 0.0001, lunch < 0.0001, dinner = 0.0008). : The population at high risk for OSA and EDS in the nursing staff was found to be 20% and 28% respectively. High risk for OSAS was detected in 7.66% of the participants. The high risk for OSA and EDS was the same irrespective of working in shift status. In specific, nursing population age was an independent predictor for high risk for OSA and skipping lunch an independent predictor of daytime sleepiness.
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http://dx.doi.org/10.3390/medicina55080468 | DOI Listing |
Nat Sci Sleep
March 2025
Department of Otorhinolaryngology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Purpose: Due to the lack of clear screening guidelines for different populations, identify strategies for obstructive sleep apnea (OSA) in the outpatient population are unclear, a large number of potential OSA outpatients have not been identified in time. The purpose of our study was to evaluate the applicability and accuracy of artificial intelligence sleep screening in outpatients and to provide a reference for OSA screening in different populations.
Methods: A type IV wearable artificial intelligence sleep monitoring (AISM) device was used to screen adults in the sleep clinic of the Sleep Medical Center for OSA screening, and the general demographic data of the patients were collected.
Front Nutr
February 2025
Department of General Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
Background: The relationship between the Metabolic Score for Insulin Resistance (METS-IR), a novel index integrating multiple metabolic parameters, and the risk of obstructive sleep apnea (OSA) remains under explored.
Methods: Analyses were conducted on data from 2,348 participants included in the National Health and Nutrition Examination Survey (NHANES) data from 2015 to 2018. Logistic regression, stratified analyses, curve-fitting analyses, and threshold effects analyses were employed to evaluate the association between METS-IR and the risk of OSA.
Respirology
March 2025
Lane Fox Respiratory Service, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Ann Otol Rhinol Laryngol
March 2025
Departments of Otolaryngology & Sleep Medicine, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Objective: The apnea-hypopnea index (AHI) defines obstructive sleep apnea (OSA) severity but fails to describe nuances in disease burden. The modified sleep apnea severity index (mSASI) combines patient anatomy, weight, sleep study metrics, and symptoms to provide a composite OSA index ranging from 1 to 3. While prior studies have associated mSASI with quality of life and hypertension, its utility in continuous positive pressure intolerant (CPAPi) surgical patients remains unexplored.
View Article and Find Full Text PDFIndian J Otolaryngol Head Neck Surg
January 2025
Otorhinolaryngology Department, Faculty of Medicine, Benha University, Benha, 13511 Qalyubia Egypt.
The research was designed to predict the relationship between the apnea-hypopnea index (AHI) as the main indicator of severity of obstructive sleep apnea syndrome (OSAS), and lipid panel test results. A cross-sectional observational study was done on 90 patients with suspected sleep-related breathing disorders as assumed by polysomnography. Patients were categorized into three equal groups depending on AHI: mild degree (5-15 events/hour), moderate degree (15-30 events/hour), and severe degree (> 30 events/hour).
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