title: Estimation of deep-abdominal-adipose-tissue (DAAT) accumulation from simple anthropometric measurements in Indian men and women.
abstract: OBJECTIVE
  To develop gender-specific predictive equations to measure the amount of deep-abdominal-adipose-tissue (DAAT) accumulation from simple anthropometric measurements.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  A total of 120 healthy men and women (40-79 years).
  
  
  METHODS
  Body weights, circumferences, skinfolds, computed-Tomography (CT)-derived sagittal-diameters and the DAAT areas.
  
  
  RESULTS
  High significant correlations are seen between the indices of waist-circumferences, sagittal diameters and body weights to DAAT areas in both the sexes. Stepwise multiple regression analysis with all anthropometric measures gave 84% (SEE 38.7 cm(2)) of the variance in men and 72% (SEE 29 cm(2)) in women. Body weights, waist-circumferences and sagittal-diameters had more predictive power in men, and in women, the arm-circumferences replaced the sagittal diameters. Five models with categorical measures of circumferences, skinfolds, and sagittal diameters explained 74.8-82% of the variance in men and 62-70% in women. The simplest equation with least measurement indices, that is, body-weight, waist-circumference and body mass index explained 74% (SEE 27.7 cm(2)) of the variance in men: DAAT (cm(2))= -382.9+(1.09 x weight-(kg))+(6.04 x waist-(cm))+(-2.29 x BMI). For women, body-weight and waist-circumference explained 63% (SEE 31.79 cm(2)) of the variance: DAAT (cm(2))= -278+(-0.86 x weight-(kg))+(5.19 x waist-(cm)).
  
  
  CONCLUSIONS
  Body weight emerged as the outstanding index to measure the DAAT areas. Following anthropometric measures are the waist circumferences, sagittal diameters and BMI. Although the ability to estimate the amount of DAAT from anthropometry is limited, practical predictive models have been developed.
authors.affiliation: Department of Food sciences and Nutrition, Sri Venkateswara University, Tirupati, India. drbrundavani@hotmail.com
authors.forename: V
authors.initials: V
authors.lastname: Brundavani
authors.forename: S R
authors.initials: SR
authors.lastname: Murthy
authors.forename: A V
authors.initials: AV
authors.lastname: Kurpad
mesh_terms: D050153:Abdominal Fat / Q000033:anatomy & histology / Q000378:metabolism*; D000328:Adult; D000368:Aged; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D001835:Body Weight / Q000502:physiology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007194:India; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012737:Sex Factors; D014057:Tomography, X-Ray Computed; D049629:Waist-Hip Ratio