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Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians.
Obesity (Silver Spring). 2008 Feb; 16(2):451-6.O

Abstract

OBJECTIVE

To develop accurate and reliable equations from simple anthropometric parameters that would predict percentage of total body fat (%BF), total abdominal fat (TAF), subcutaneous abdominal adipose tissue (SCAT), and intra-abdominal adipose tissue (IAAT) with a fair degree of accuracy.

METHODS AND PROCEDURES

Anthropometry, %BF by dual-energy X-ray absorptiometry (DXA) in 171 healthy subjects (95 men and 76 women) and TAF, IAAT, and SCAT by single slice magnetic resonance imaging (MRI) at L3-4 intervertebral level in 100 healthy subjects were measured. Mean age and BMI were 32.2 years and 22.9 kg/m(2), respectively. Multiple regression analysis was used on the training data set (70%) to develop equations, by taking anthropometric and demographic variables as potential predictors. Predicted equations were applied on validation data set (30%).

RESULTS

Multiple regression analysis revealed the best equation for predicting %BF to be: %BF = 42.42 + 0.003 x age (years) + 7.04 x gender (M = 1, F = 2) + 0.42 x triceps skinfold (mm) + 0.29 x waist circumference (cm) + 0.22 [corrected] x weight (kg) - 0.42 x height (cm) (R (2) = 86.4%). The most precise predictive equation for estimating IAAT was: IAAT (mm(2)) = -238.7 + 16.9 x age (years) + 934.18 x gender (M = 1, F = 2) + 578.09 x BMI (kg/m(2)) - 441.06 x hip circumference (cm) + 434.2 x waist circumference (cm) (R (2) = 52.1%). SCAT was best predicted by: SCAT (mm(2)) = -49,376.4 - 17.15 x age (years) + 1,016.5 x gender (M = 1, F = 2) +783.3 x BMI (kg/m(2)) + 466 x hip circumference (cm) (R (2) = 67.1).

DISCUSSION

We present predictive equations to quantify body fat and abdominal adipose tissue sub-compartments in healthy Asian Indians. These equations could be used for clinical and research purposes.

Authors+Show Affiliations

Department of Medicine, Maulana Azad Medical College, New Delhi, India.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

18239658

Citation

Goel, Kashish, et al. "Predictive Equations for Body Fat and Abdominal Fat With DXA and MRI as Reference in Asian Indians." Obesity (Silver Spring, Md.), vol. 16, no. 2, 2008, pp. 451-6.
Goel K, Gupta N, Misra A, et al. Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians. Obesity (Silver Spring). 2008;16(2):451-6.
Goel, K., Gupta, N., Misra, A., Poddar, P., Pandey, R. M., Vikram, N. K., & Wasir, J. S. (2008). Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians. Obesity (Silver Spring, Md.), 16(2), 451-6. https://doi.org/10.1038/oby.2007.55
Goel K, et al. Predictive Equations for Body Fat and Abdominal Fat With DXA and MRI as Reference in Asian Indians. Obesity (Silver Spring). 2008;16(2):451-6. PubMed PMID: 18239658.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predictive equations for body fat and abdominal fat with DXA and MRI as reference in Asian Indians. AU - Goel,Kashish, AU - Gupta,Nidhi, AU - Misra,Anoop, AU - Poddar,Pawan, AU - Pandey,Ravindra M, AU - Vikram,Naval K, AU - Wasir,Jasjeet S, PY - 2008/2/2/pubmed PY - 2008/5/8/medline PY - 2008/2/2/entrez SP - 451 EP - 6 JF - Obesity (Silver Spring, Md.) JO - Obesity (Silver Spring) VL - 16 IS - 2 N2 - OBJECTIVE: To develop accurate and reliable equations from simple anthropometric parameters that would predict percentage of total body fat (%BF), total abdominal fat (TAF), subcutaneous abdominal adipose tissue (SCAT), and intra-abdominal adipose tissue (IAAT) with a fair degree of accuracy. METHODS AND PROCEDURES: Anthropometry, %BF by dual-energy X-ray absorptiometry (DXA) in 171 healthy subjects (95 men and 76 women) and TAF, IAAT, and SCAT by single slice magnetic resonance imaging (MRI) at L3-4 intervertebral level in 100 healthy subjects were measured. Mean age and BMI were 32.2 years and 22.9 kg/m(2), respectively. Multiple regression analysis was used on the training data set (70%) to develop equations, by taking anthropometric and demographic variables as potential predictors. Predicted equations were applied on validation data set (30%). RESULTS: Multiple regression analysis revealed the best equation for predicting %BF to be: %BF = 42.42 + 0.003 x age (years) + 7.04 x gender (M = 1, F = 2) + 0.42 x triceps skinfold (mm) + 0.29 x waist circumference (cm) + 0.22 [corrected] x weight (kg) - 0.42 x height (cm) (R (2) = 86.4%). The most precise predictive equation for estimating IAAT was: IAAT (mm(2)) = -238.7 + 16.9 x age (years) + 934.18 x gender (M = 1, F = 2) + 578.09 x BMI (kg/m(2)) - 441.06 x hip circumference (cm) + 434.2 x waist circumference (cm) (R (2) = 52.1%). SCAT was best predicted by: SCAT (mm(2)) = -49,376.4 - 17.15 x age (years) + 1,016.5 x gender (M = 1, F = 2) +783.3 x BMI (kg/m(2)) + 466 x hip circumference (cm) (R (2) = 67.1). DISCUSSION: We present predictive equations to quantify body fat and abdominal adipose tissue sub-compartments in healthy Asian Indians. These equations could be used for clinical and research purposes. SN - 1930-7381 UR - https://www.unboundmedicine.com/medline/citation/18239658/Predictive_equations_for_body_fat_and_abdominal_fat_with_DXA_and_MRI_as_reference_in_Asian_Indians_ L2 - https://doi.org/10.1038/oby.2007.55 DB - PRIME DP - Unbound Medicine ER -