<p>Robust regression analysis was performed to identify factors that are independently associated with brown-adipose-tissue (BAT, log scale). An initial robust regression model included age, sex, body mass index (BMI), visceral fat areas (VFA), subcutaneous fat areas (SFA), waist circumferences (WC), visceral/total fat areas (V/T) and log (TMN). Those variables that did not make significant contributions to the models were deleted in a stage-wise manner, yielding the final models. The final model is shown including 2 significant predictors, Log(TMN) and waist circumferences.</p
<p>Multiple linear regression models (MLR) were established to estimate fatty acid composition of su...
<p>(A) adjustment for age, HOMA-IR and height;</p><p>(B) adjustment for age, weight and BMI;</p><p>(...
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
<p>All models were adjusted for sex, age and total fat. Covariates are listed with parameter estimat...
<p>Variables included in the model were age, sex, smoking, alcohol, physical activity, SBP, DBP, tot...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
We compared six methods for regression on log-normal heteroscedastic data with respect to the estima...
<p>Results are reported as standardized regression coefficient (β). The Model<sup>1</sup> used in an...
<p>Multiple logistic regression analysis (final model): factors associated with “marked concerns wit...
<p>The residuals are adjusted for a 2-level factor variable for Sex, and age in model 3a. The residu...
<p>Multiple linear regression analysis of epicardial fat area (EFA) and adipokines.</p
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
<p>Model 1 includes WC, HC and age as independent variables.</p><p>Model 2 includes WC, thigh circum...
<p>CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...
<p>Multiple linear regression models (MLR) were established to estimate fatty acid composition of su...
<p>(A) adjustment for age, HOMA-IR and height;</p><p>(B) adjustment for age, weight and BMI;</p><p>(...
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
<p>All models were adjusted for sex, age and total fat. Covariates are listed with parameter estimat...
<p>Variables included in the model were age, sex, smoking, alcohol, physical activity, SBP, DBP, tot...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
We compared six methods for regression on log-normal heteroscedastic data with respect to the estima...
<p>Results are reported as standardized regression coefficient (β). The Model<sup>1</sup> used in an...
<p>Multiple logistic regression analysis (final model): factors associated with “marked concerns wit...
<p>The residuals are adjusted for a 2-level factor variable for Sex, and age in model 3a. The residu...
<p>Multiple linear regression analysis of epicardial fat area (EFA) and adipokines.</p
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
<p>Model 1 includes WC, HC and age as independent variables.</p><p>Model 2 includes WC, thigh circum...
<p>CI = confidence interval; %BF = percentage body fat; gender: men = 1, women = 0; BMI = body mass ...
<p>Multiple linear regression models (MLR) were established to estimate fatty acid composition of su...
<p>(A) adjustment for age, HOMA-IR and height;</p><p>(B) adjustment for age, weight and BMI;</p><p>(...
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...