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Compared to Individuals With Mild to Moderate Obstructive Sleep Apnea (Osa), Individuals With Severe Osa Had Higher Bmi and Respiratory-Disturbance Scores Publisher



Rezaie L1 ; Maazinezhad S1, 2 ; Fogelberg DJ3 ; Khazaie H1 ; Sadeghibahmani D1, 4, 5, 6 ; Brand S1, 5, 7, 8, 9
Authors
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Authors Affiliations
  1. 1. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, 67146, Iran
  2. 2. School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, 67146, Iran
  3. 3. Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, 98195, WA, United States
  4. 4. Departments of Physical Therapy, University of Alabama at Birmingham, Birmingham, 35209, AL, United States
  5. 5. Center for Affective, Stress and Sleep Disorders (ZASS), Psychiatric University Hospital Basel, Basel, 4002, Switzerland
  6. 6. Department of Clinical Research, University of Basel, Basel, 4031, Switzerland
  7. 7. Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, 67146, Iran
  8. 8. School of Medicine, Tehran University of Medical Sciences, Tehran, 25529, Iran
  9. 9. Division of Sport Science and Psychosocial Health, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland

Source: Life Published:2021


Abstract

Objective: Individuals with obstructive sleep apnea (OSA) are at increased risk to suffer from further somatic and sleep-related complaints. To assess OSA, demographic, anthropometric, and subjective/objective sleep parameters are taken into consideration, but often separately. Here, we entered demographic, anthropometric, subjective, and objective sleep-and breathing-related dimensions in one model. Methods: We reviewed the demographic, anthropometric, subjective and objective sleep-and breathing-related data, and polysomnographic records of 251 individuals with diagnosed OSA. OSA was considered as a continuous and as categorical variable (mild, moderate, and severe OSA). A series of correlational computations, X2-tests, F-tests, and a multiple regression model were performed to investigate which demographic, anthropometric, and subjective and objective sleep dimensions were associated with and predicted dimensions of OSA. Results: Higher apnea/hypopnea index (AHI) scores were associated with higher BMI, higher daytime sleepiness, a higher respiratory disturbance index, and higher snoring. Compared to individuals with mild to moderate OSA, individuals with severe OSA had a higher BMI, a higher respiratory disturbance index (RDI) and a higher snoring index, while subjective sleep quality and daytime sleepiness did not differ. Results from the multiple regression analysis showed that an objectively shorter sleep duration, more N2 sleep, and a higher RDI predicted AHI scores. Conclusion: The pattern of results suggests that blending demographic, anthropometric, and subjective/objective sleep-and breathing-related data enabled more effective discrimination of individuals at higher risk for OSA. The results are of practical and clinical importance: demographic, anthropometric, and breathing-related issues derived from self-rating scales provide a quick and reliable identification of individuals at risk of OSA; objective assessments provide further certainty and reliability. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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