title: Predictors of low bone mineral density in the elderly: the role of dietary intake, nutritional status and sarcopenia.
abstract: OBJECTIVE
  The aims of this study were to investigate the relationship between sarcopenia, dietary intake, nutritional indices and hip bone mineral density (BMD) in the elderly, and to estimate the risk of low BMD due to specific independent predictor thresholds.
  
  
  METHODS
  Body mass index (BMI), serum albumin, energy and protein intake were studied in 352 elderly outpatients (216 women aged 73.5+/-5.3 years and 136 men aged 73.9+/-5.6 years). BMD at different hip sites and appendicular skeletal muscle mass (ASMM) were assessed by dual-energy X-ray absorptiometry.
  
  
  RESULTS
  The prevalence of osteoporosis was 13% in men and 45% in women, while the prevalence of sarcopenia (50%) and hypoalbuminemia (5%) were similar in both genders. BMI, albumin and ASMM were significantly associated with BMD in both genders: so was protein intake, but only in men. By multiple regression analysis, the variables that retained their independent explanatory role on total hip BMD, were BMI and protein intake in men, and BMI and albumin in women. By logistic regression analysis, men risked having a low BMD with a BMI <22 (OR=12) and a protein intake <65.7 g/day (OR=3.7). Women carried some risk already in the BMI 25-30 class (OR=5), and a much greater risk in the BMI <22 class (OR=26). Albumin <40 g/l also emerged as an independent risk factor (OR=2.6).
  
  
  CONCLUSIONS
  BMI in both genders, albumin in women and protein intake in men have an independent effect on BMD. BMI values <22 are normal for younger adults but carry a higher risk of osteoporosis in the elderly, particularly in women. Age-related sarcopenia does not seem to be involved in bone mass loss.
authors.affiliation: Department of Medical and Surgical Sciences, Geriatrics Unit, University of Padova, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Coin
authors.forename: E
authors.initials: E
authors.lastname: Perissinotto
authors.forename: G
authors.initials: G
authors.lastname: Enzi
authors.forename: M
authors.initials: M
authors.lastname: Zamboni
authors.forename: E M
authors.initials: EM
authors.lastname: Inelmen
authors.forename: A C
authors.initials: AC
authors.lastname: Frigo
authors.forename: E
authors.initials: E
authors.lastname: Manzato
authors.forename: L
authors.initials: L
authors.lastname: Busetto
authors.forename: A
authors.initials: A
authors.lastname: Buja
authors.forename: G
authors.initials: G
authors.lastname: Sergi
mesh_terms: D015502:Absorptiometry, Photon; D000368:Aged; D000375:Aging / Q000502:physiology; D015992:Body Mass Index; D015519:Bone Density / Q000187:drug effects / Q000502:physiology*; D004044:Dietary Proteins / Q000008:administration & dosage; D002149:Energy Intake / Q000502:physiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D009133:Muscular Atrophy / Q000453:epidemiology* / Q000378:metabolism / Q000473:pathology; D015596:Nutrition Assessment; D009752:Nutritional Status; D010024:Osteoporosis / Q000453:epidemiology* / Q000378:metabolism / Q000473:pathology; D011237:Predictive Value of Tests; D015995:Prevalence; D012307:Risk Factors; D012709:Serum Albumin / Q000378:metabolism; D012720:Severity of Illness Index; D012737:Sex Factors
chemical_list: D004044:Dietary Proteins; D012709:Serum Albumin