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- W2002124534 abstract "<h3>Introduction</h3> Predictive equations for DXA measures of total and abdominal adiposity from simple anthropometry for an Indian population will enable more accurate estimates of adiposity to be derived in other studies. <h3>Methods</h3> Using 1230 men and 636 women from Hyderabad, India, multiple linear regression was performed to generate predictive equations for DXA measures of total body fat (grams) and total abdominal fat in the L1–L4 intervertebral region (grams). Equations were developed separately for each sex on a training set (60% of sample) and tested on the validation set (40% of sample). <h3>Results</h3> For total body fat in males, a simple equation based on two variables (height and weight) gave an R<sup>2</sup> of 0.83 and SEE (SE of the estimate) (square root of the sum of observed- predicted values/number of observations) of 2200 g whereas a more complex equation (additionally including triceps skinfold, waist circumference and calf skinfold) gave an R<sup>2</sup> of 0.94 (SEE=1600 g). In females, hip circumference and calf skinfold alone explained 92% of the variance in total body fat (SEE 2300 g) increasing to 95% with waist circumference, subscapular skinfold, weight and calf circumference included (SEE 1800 g). Waist circumference was the best predictor of fat in the L1–L4 region for both sexes (R<sup>2</sup>=0.88 and 0.89 respectively); more complex equations achieved an R<sup>2</sup> of 93%. Predictive equations for both traits produced an SEE<0.5 SDs, indicating good accuracy. <h3>Conclusion</h3> DXA measures of adiposity can be derived with a high degree of precision from simple anthropometric measures in an Indian population." @default.
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- W2002124534 date "2011-08-01" @default.
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- W2002124534 title "P2-303 Development of predictive equations for DXA measures of adiposity in an Indian population" @default.
- W2002124534 doi "https://doi.org/10.1136/jech.2011.142976k.36" @default.
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