<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI) for anthropometric indices. All variables were adjusted for age and height. TBV = Total body volume, TAT = total adipose tissue, SAT = subcutaneous adipose tissue, VAT = visceral adipose tissue, CAT = coronary adipose tissue, SMT = skeletal muscle tissue, BMI = body mass index, WC = waist circumference, HC = hip circumference. <sup>1</sup><u>Predictors included</u>: BMI, WC, HC. All variables (predictors and outcome) adjusted by age and height with the residual method. <sup>2</sup>Partial correlation coefficients (95% CI) are reported for predictor variables.</p
Body composition is an important indicator for public health issues.The two main components, body fa...
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
Linear regression models were used to find Pearson correlation coefficients and part correlations, w...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
<p>BMI = body mass index, WC = waist circumference, HC = hip circumference, TBV = total body volume,...
In epidemiological studies, measures of body fat generally are obtained through anthropometric indic...
In epidemiological studies, measures of body fat generally are obtained through anthropometric indic...
<p>Model 1 includes WC, HC and age as independent variables.</p><p>Model 2 includes WC, thigh circum...
<p>TBV = total body volume, TAT = total adipose tissue, VAT = visceral adipose tissue, SAT = subcuta...
<p>Robust regression analysis was performed to identify factors that are independently associated wi...
*<p>Model (2) included all biomarkers, age, ethnicity, and key covariates, including smoking status ...
<p>(A) adjustment for age, HOMA-IR and height;</p><p>(B) adjustment for age, weight and BMI;</p><p>(...
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
(Submitted 14 December 2012 – Final revision received 2 May 2013 – Accepted 2 May 2013)International...
Comprehensive anthropometry was measured on six em- balmed cadavers (3 male, 3 female). The limbs we...
Body composition is an important indicator for public health issues.The two main components, body fa...
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
Linear regression models were used to find Pearson correlation coefficients and part correlations, w...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
<p>BMI = body mass index, WC = waist circumference, HC = hip circumference, TBV = total body volume,...
In epidemiological studies, measures of body fat generally are obtained through anthropometric indic...
In epidemiological studies, measures of body fat generally are obtained through anthropometric indic...
<p>Model 1 includes WC, HC and age as independent variables.</p><p>Model 2 includes WC, thigh circum...
<p>TBV = total body volume, TAT = total adipose tissue, VAT = visceral adipose tissue, SAT = subcuta...
<p>Robust regression analysis was performed to identify factors that are independently associated wi...
*<p>Model (2) included all biomarkers, age, ethnicity, and key covariates, including smoking status ...
<p>(A) adjustment for age, HOMA-IR and height;</p><p>(B) adjustment for age, weight and BMI;</p><p>(...
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
(Submitted 14 December 2012 – Final revision received 2 May 2013 – Accepted 2 May 2013)International...
Comprehensive anthropometry was measured on six em- balmed cadavers (3 male, 3 female). The limbs we...
Body composition is an important indicator for public health issues.The two main components, body fa...
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
Linear regression models were used to find Pearson correlation coefficients and part correlations, w...