title: Effects of lean and fat mass on bone mineral density and arterial stiffness in elderly men.
abstract: CONCLUSIONS
  The role of body composition on arterial stiffness and osteoporosis remains unclear, especially in the elderly male population. Our results indicate that elderly men with high lean mass and low fat mass exhibit the best arterial and bone profile with the lowest arterial stiffness and the highest bone mineral density.
  
  
  BACKGROUND
  The aim of this study was to evaluate the influence of fat and lean mass on both arterial stiffness and bone mass density (BMD) in elderly men.
  
  
  METHODS
  This study was performed in 169 French males over 60 years old. Aortic stiffness was assessed by carotid/femoral pulse wave velocity (PWV). BMD and body composition were determined with a dual-energy X-ray absorptiometry device in the lumbar spine L1-L4, femoral neck, and total body.
  
  
  RESULTS
  Lean mass was positively correlated with the three T scores accounting for 11.6%, 26.6%, and 12.2% of the variability in the lumbar spine L1-L4, femoral neck, and total body BMD T scores, respectively. Fat mass had no effect on BMD. However, fat mass was positively correlated with aortic PWV, accounting for 9.8% of its variability. Lean mass was not a determinant of PWV. Hypertension, diabetes, and dyslipidemia were associated with higher PWV but had no effect on BMD.
  
  
  CONCLUSIONS
  In males from a general population over 60 years of age, bone and arterial aging are differently influenced by lean and fat mass. Our results indicate that elderly men with high lean mass and low fat mass exhibit the best arterial and bone profile with the lowest arterial stiffness and the highest BMD.
authors.affiliation: Department of Medicine and Geriatrics, Brabois Hospital, University Hospital of Nancy, Nancy, France. a.benetos@chu-nancy.fr
authors.forename: A
authors.initials: A
authors.lastname: Benetos
authors.forename: A
authors.initials: A
authors.lastname: Zervoudaki
authors.forename: A
authors.initials: A
authors.lastname: Kearney-Schwartz
authors.forename: C
authors.initials: C
authors.lastname: Perret-Guillaume
authors.forename: V
authors.initials: V
authors.lastname: Pascal-Vigneron
authors.forename: P
authors.initials: P
authors.lastname: Lacolley
authors.forename: C
authors.initials: C
authors.lastname: Labat
authors.forename: G
authors.initials: G
authors.lastname: Weryha
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods; D050154:Adiposity / Q000502:physiology; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D000886:Anthropometry / Q000379:methods; D001011:Aorta / Q000503:physiopathology; D001783:Blood Flow Velocity / Q000502:physiology; D001823:Body Composition / Q000502:physiology*; D015519:Bone Density / Q000502:physiology*; D002318:Cardiovascular Diseases / Q000503:physiopathology; D004548:Elasticity; D006801:Humans; D008297:Male; D008875:Middle Aged; D010024:Osteoporosis / Q000503:physiopathology*; D013851:Thinness / Q000503:physiopathology; D014655:Vascular Resistance / Q000502:physiology*