title: Relation of central fat mass to obstructive sleep apnea in the elderly.
abstract: OBJECTIVE
  Obesity is a recognized risk factor for obstructive sleep apnea syndrome (OSAS). We evaluated whether total trunk and central fat mass (CFM) is associated with OSAS in elderly subjects.
  
  
  METHODS
  Cross-sectional.
  
  
  METHODS
  Body composition assessment by dual-energy X-ray absorbsiometry (DEXA).
  
  
  METHODS
  749 volunteers aged 67.2 ± 0.8 years (59.4% women).
  
  
  METHODS
  All participants underwent evaluation of their body composition by DEXA in parallel with clinical and polygraphic assessments. The presence of OSAS was defined by an apnea plus hypopnea index (AHI) ≥ 15.
  
  
  RESULTS
  A total of 44.8% of the population had an AHI < 15, and 55.2% presented OSAS. OSAS subjects were more frequently overweight and had a higher total trunk fat mass and central fat mass (CFM). Correlation analyses revealed that body mass index (r = 0.27, P < 0.001), neck circumference (r = 0.35, P < 0.001), and CFM (r = 0.23, P < 0.001) were significantly related to AHI. Logistic regression analysis indicated that in mild OSAS cases (> 15AHI < 30), BMI (OR: 1.10; 95% CI: 1.03-1.18; P = 0.008), and male gender (OR: 1.49; 95% CI: 1.05-2.12, P = 0.03) were key factors explaining an AHI between 15 and 30. In severe cases (AHI > 30), male gender (OR: 3.65; 95% CI: 2.40-5.55; P < 0.001) and CFM (OR: 1.10; 95% CI: 1.03-1.19; P = 0.009) were significant independent predictors of OSAS.
  
  
  BACKGROUND
  NCT 00759304 and NCT 00766584.
  
  
  CONCLUSIONS
  Although central fat mass plays a role in the occurrence of severe OSAS in men older than 65 years of age, its low discriminative sensitivity in mild OSAS cases does not warrant systematic use of DEXA for the diagnosis of OSAS.
authors.affiliation: Health Research Unit, High School of Health, University of Applied Sciences Western Switzerland, Lausanne, Switzerland. francis.degache@hesav.ch
authors.forename: Francis
authors.initials: F
authors.lastname: Degache
authors.forename: Emilia
authors.initials: E
authors.lastname: Sforza
authors.forename: Virginie
authors.initials: V
authors.lastname: Dauphinot
authors.forename: Sébastien
authors.initials: S
authors.lastname: Celle
authors.forename: Arnauld
authors.initials: A
authors.lastname: Garcin
authors.forename: Philippe
authors.initials: P
authors.lastname: Collet
authors.forename: Vincent
authors.initials: V
authors.lastname: Pichot
authors.forename: Jean-Claude
authors.initials: JC
authors.lastname: Barthélémy
authors.forename: Frédéric
authors.initials: F
authors.lastname: Roche
mesh_terms: D050153:Abdominal Fat / Q000000981:diagnostic imaging*; D015502:Absorptiometry, Photon / Q000379:methods; D000368:Aged; D000704:Analysis of Variance; D001823:Body Composition; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D005602:France; D015577:Geriatric Assessment / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D016017:Odds Ratio; D050177:Overweight / Q000150:complications* / Q000503:physiopathology; D017286:Polysomnography / Q000379:methods; D012307:Risk Factors; D012720:Severity of Illness Index; D017678:Sex Distribution; D020181:Sleep Apnea, Obstructive / Q000150:complications* / Q000503:physiopathology
keywords: Sleep-related breathing disorders; body composition; elderly; fat mass; obesity; obstructive sleep apnea
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