title: [Bone mineral density and its association with body composition and metabolic biomarkers of insulin-glucose axis, bone and adipose tissue in women].
abstract: BACKGROUND
  There are few studies integrating the common causes of osteoporosis and obesity (disorders of body composition). A first step is to investigate correlations between their biological phenotypes to determine their common integrative physiology.
  
  
  OBJECTIVE
  To correlate the variation of bone mineral density with phenotypes of body composition and biomarkers of bone physiology, insulin-glucose axis, and adipose tissue.
  
  
  METHODS
  Cross-sectional study of 75 women (aged 18-45 years).
  
  
  METHODS
  Body mass index, waist, fat mass, lean mass (dual-energy X-ray absorptiometry), glucose, insulin, osteocalcin, leptin, tumor necrosis factor alpha.
  
  
  METHODS
  multivariate general linear model, SPSS v.22, p<0.05.
  
  
  RESULTS
  Age: 32.08±7.33. Bone mineral content multivariate general linear model 1 with two phenotypes excluded (glucose, insulin): osteocalcin (β=-0.228, p=0.011), lean mass (β=0.606, p=0.001) and fat mass (β=1.237, p=0.001) in 62.0%. The bone mineral density multivariate general linear model 2 with three phenotypes excluded (body mass index, glucose, tumor necrosis factor alpha): insulin (β=0.250, p=0.024), osteocalcin (β=-0.362, p=0.001), lean mass (β=0.512, p=0.001) and fat mass (β=0.701, p=0.001) in 46.3%.
  
  
  CONCLUSIONS
  Results show that body composition with an increased lean mass is beneficial to bone. This study reaffirms the importance of performing regular exercise to prevent muscle loss.
authors.affiliation: Centro de Investigación en Nutrición y Salud Pública, Facultad de Salud Pública y Nutrición, Universidad Autónoma de Nuevo León, Monterrey, N.L., México.
authors.forename: Edna J
authors.initials: EJ
authors.lastname: Nava-González
authors.affiliation: Subdirección de Posgrado e Investigación, Facultad de Enfermería, Universidad Autónoma de Nuevo León, Monterrey, N.L., México.
authors.forename: Ricardo M
authors.initials: RM
authors.lastname: Cerda-Flores
authors.affiliation: Servicio de Endocrinología del Hospital Universitario de Monterrey «Dr. José Eleuterio González», Monterrey, N.L., México.
authors.forename: Pedro A
authors.initials: PA
authors.lastname: García-Hernández
authors.affiliation: Servicio de Endocrinología del Hospital Universitario de Monterrey «Dr. José Eleuterio González», Monterrey, N.L., México.
authors.forename: Gloria A
authors.initials: GA
authors.lastname: Jasso-de la Peña
authors.affiliation: Department of Genetics, Texas Biomedical Research Institute, San Antonio, Tx., EE.UU.
authors.forename: Raul A
authors.initials: RA
authors.lastname: Bastarrachea
authors.affiliation: Subdirección de Posgrado e Investigación, Facultad de Enfermería, Universidad Autónoma de Nuevo León, Monterrey, N.L., México.
authors.forename: Esther C
authors.initials: EC
authors.lastname: Gallegos-Cabriales
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods; D000273:Adipose Tissue / Q000502:physiology*; D000293:Adolescent; D000328:Adult; D015415:Biomarkers / Q000378:metabolism; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D015519:Bone Density / Q000502:physiology*; D003430:Cross-Sectional Studies; D005260:Female; D005947:Glucose / Q000378:metabolism; D006801:Humans; D007328:Insulin / Q000378:metabolism; D016014:Linear Models; D008875:Middle Aged; D055815:Young Adult
chemical_list: D015415:Biomarkers; D007328:Insulin; D005947:Glucose