title: Body mass index continues to accurately predict percent body fat as women age despite changes in muscle mass and height.
abstract: OBJECTIVE
  Body mass index (BMI) is commonly used to predict obesity in clinical practice because it is suggested to closely correlate with percent body fat (%BF). With aging, women lose both lean mass and height. Because of this, many clinicians question whether BMI is an accurate predictor of obesity in aging women. In evaluating the equation for BMI (weight/height(2)), it is clear that both variables can have a dramatic effect on BMI calculation. We evaluated the relationship between BMI and %BF, as measured by dual-energy x-ray absorptiometry, in the setting of age-related changes in height loss and body composition in women. Our objective is to determine whether BMI continues to correlate with %BF as women age.
  
  
  METHODS
  Study participants were identified using data from five osteoporosis clinical trials, where healthy participants had full-body dual-energy x-ray absorptiometry scans. Deidentified data from 274 women aged between 35 and 95 years were evaluated. %BF, weight, age, tallest height, actual height, and appendicular lean mass were collected from all participants. BMI was calculated using the actual height and the tallest height of each study participant. %BF was compared with BMI and stratified for age.
  
  
  RESULTS
  BMI calculated using the tallest height and BMI calculated using actual height both had strong correlations with %BF.
  
  
  CONCLUSIONS
  Surprisingly, the effects of changes in height and lean body mass balance each other out in BMI calculation. There continues to be a strong correlation between BMI and %BF in adult women as they age.
authors.affiliation: From the 1Department of OB/GYN, University of New York at Buffalo, Buffalo, NY; 2Department of Medicine, University of Wisconsin, Madison, WI; 3Department of OB/GYN, University of Wisconsin, Madison, WI; and 4Department of Orthopedics, University of New York at Buffalo, Buffalo, NY.
authors.forename: Tova
authors.initials: T
authors.lastname: Ablove
authors.forename: Neil
authors.initials: N
authors.lastname: Binkley
authors.forename: Sarah
authors.initials: S
authors.lastname: Leadley
authors.forename: James
authors.initials: J
authors.lastname: Shelton
authors.forename: Robert
authors.initials: R
authors.lastname: Ablove
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue / Q000033:anatomy & histology*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D001827:Body Height / Q000502:physiology*; D015992:Body Mass Index; D001835:Body Weight; D005260:Female; D006801:Humans; D008875:Middle Aged; D018482:Muscle, Skeletal / Q000033:anatomy & histology* / Q000502:physiology; D009765:Obesity / Q000503:physiopathology; D012307:Risk Factors