title: Prediction equation for calculating fat mass in young Indian adults.
abstract: OBJECTIVE
  Accurate measurement or prediction of fat mass is useful in physiology, nutrition and clinical medicine. Most predictive equations currently used to assess percentage of body fat or fat mass, using simple anthropometric measurements were derived from people in western societies and they may not be appropriate for individuals with other genotypic and phenotypic characteristics. We developed equations to predict fat mass from anthropometric measurements in young Indian adults.
  
  
  METHODS
  Fat mass was measured in 60 females and 58 males, aged 20 to 29 yrs by using hydrostatic weighing and by simultaneous measurement of residual lung volume. Anthropometric measure included weight (kg), height (m) and 4 skinfold thickness [STs (mm)]. Sex specific linear regression model was developed with fat mass as the dependent variable and all anthropometric measures as independent variables.
  
  
  RESULTS
  The prediction equation obtained for fat mass (kg) for males was 8.46+0.32 (weight) - 15.16 (height) + 9.54 (log of sum of 4 STs) (R2= 0. 53, SEE=3.42 kg) and - 20.22 + 0.33 (weight) + 3.44 (height) + 7.66 (log of sum of 4 STs) (R2=0.72, SEE=3.01kg) for females.
  
  
  CONCLUSIONS
  A new prediction equation for the measurement of fat mass was derived and internally validated in young Indian adults using simple anthropometric measurements.
authors.affiliation: Department of Sports Medicine and Physiotherapy, Guru Nanak Dev University Amritsar, India.
authors.forename: Jaspal Singh
authors.initials: JS
authors.lastname: Sandhu
authors.forename: Giniya
authors.initials: G
authors.lastname: Gupta
authors.forename: Shweta
authors.initials: S
authors.lastname: Shenoy