title: The relations between physical ability and bone mass in women aged over 65 years.
abstract: In this cross-sectional study of 55 women (mean age 73.54 +/- 5.87), the magnitude of the relation between different indices of physical ability and confounding factors to bone density were determined. Physical fitness was assessed by direct measurement of maximal oxygen consumption (VO2 max), isokinetic muscle strength, and quadriceps and psoas muscle surfaces and densities using computed tomography. Anthropometry, chronological and gynecological ages, and dietary calcium intake were also recorded. The bone mineral density (BMD) was evaluated at the axial level (lumbar spine and proximal femur) and at the peripheral level (radius and tibia, cancellous and cortical compartments). Parameters related to physical ability proved to be the best predictors of BMD in radial and tibial cancellous compartments, spine, femoral neck, and trochanter, accounting for 15-27.5% of the total variance. The VO2 max was a major determinant of the femoral mineral density and one of the predictors of radial and tibial cancellous compartments. Psoas parameters were strongly related to spine mineral density and also constituted a predictor of radius (cancellous) and tibia mineral densities. The arm muscle strength could predict, though weakly, the BMD of axial skeleton, whereas thigh muscle strength only predicted the BMD of inferior limbs. No correlation was observed between current dietary calcium intake and BMD. Age-postmenopause and fertile life remained predictive of BMD at mostly cancellous sites, whereas anthropometry exerted important effects on radial and tibial cortices. The study suggests distinct sets of relations between physical ability and the BMD variables. Subjects with greater and denser psoas muscles had greater spine BMD, and those with higher VO2 max had greater proximal femur BMD.
authors.affiliation: GIP Exercice Faculté de Médecine, Saint-Etienne, France.
authors.forename: L
authors.initials: L
authors.lastname: Vico
authors.forename: J F
authors.initials: JF
authors.lastname: Pouget
authors.forename: P
authors.initials: P
authors.lastname: Calmels
authors.forename: J C
authors.initials: JC
authors.lastname: Chatard
authors.forename: M
authors.initials: M
authors.lastname: Rehailia
authors.forename: P
authors.initials: P
authors.lastname: Minaire
authors.forename: A
authors.initials: A
authors.lastname: Geyssant
authors.forename: C
authors.initials: C
authors.lastname: Alexandre
mesh_terms: D015502:Absorptiometry, Photon; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D015519:Bone Density / Q000502:physiology*; D003430:Cross-Sectional Studies; D005260:Female; D005269:Femur / Q000502:physiology; D006801:Humans; D008159:Lumbar Vertebrae / Q000502:physiology; D018482:Muscle, Skeletal / Q000502:physiology; D010101:Oxygen Consumption / Q000502:physiology; D010809:Physical Fitness / Q000502:physiology*; D011884:Radius / Q000502:physiology; D012044:Regression Analysis; D013131:Spine / Q000502:physiology; D013977:Tibia / Q000502:physiology; D014057:Tomography, X-Ray Computed