Compared to Individuals with Mild to Moderate Obstructive Sleep Apnea (OSA), Individuals with Severe OSA Had Higher BMI and Respiratory-Disturbance Scores

被引：27

作者：

Rezaie, Leeba ^{[1
]}

Maazinezhad, Soroush ^{[1
,2
]}

Fogelberg, Donald J. ^{[3
]}

Khazaie, Habibolah ^{[1
]}

Sadeghi-Bahmani, Dena ^{[1
,4
,5
,6
]}

Brand, Serge ^{[1
,5
,7
,8
,9
]}

机构：

[1] Kermanshah Univ Med Sci, Sleep Disorders Res Ctr, Kermanshah 67146, Iran

[2] Kermanshah Univ Med Sci, Sch Nursing & Midwifery, Kermanshah 67146, Iran

[3] Univ Washington, Sch Med, Dept Rehabil Med, Seattle, WA 98195 USA

[4] Univ Alabama Birmingham, Dept Phys Therapy, Birmingham, AL 35209 USA

[5] Psychiat Univ Hosp Basel, Ctr Affect Stress & Sleep Disorders ZASS, CH-4002 Basel, Switzerland

[6] Univ Basel, Dept Clin Res, CH-4031 Basel, Switzerland

[7] Kermanshah Univ Med Sci, Hlth Inst, Subst Abuse Prevent Res Ctr, Kermanshah 67146, Iran

[8] Univ Tehran Med Sci, Sch Med, Tehran 25529, Iran

[9] Univ Basel, Dept Sport Exercise & Hlth, Div Sport Sci & Psychosocial Hlth, CH-4052 Basel, Switzerland

来源：

LIFE-BASEL | 2021年 / 11卷 / 05期

关键词：

anthropometry; obstructive sleep apnea; polysomnography; severity; POSITIVE AIRWAY PRESSURE; QUALITY-OF-LIFE; PHYSICAL-ACTIVITY; DAYTIME SLEEPINESS; PERSIAN VERSION; CARDIOVASCULAR-DISEASE; RISK-FACTORS; PREVALENCE; EXERCISE; INDEX;

D O I：

10.3390/life11050368

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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, X-2-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.

引用

页数：17

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