<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as odds ratio (95% confidence interval). Quartile cut points (Q1-Q4) were based on individuals without diabetes.</p>a<p>Age model adjusts for age.</p>b<p>Covariate model adjusts for gender, race/ethnicity, age, BMI, waist circumference, self-reported activity level, and poverty index ratio.</p>c<p>Covariate 2 model adjusts for gender, race/ethnicity, age, BMI, waist circumference, self-reported activity level, poverty index ratio, and trunk to leg fat mass ratio.</p>d<p>Full model adjusts for all variables in <sup>b</sup> and insulin, triglycerides, HDL, systolic blood pressure, and diastolic blood pressure.</p>e<p>Full 2 model adjusts for all var...
Background and Objectives: Diabetes is a chronic and common metabolic disease which has no curative ...
<p>Abbreviations: BMI, body mass index; WC, waist circumference; ABSI, a body shape index; AIC, Akai...
<p>P value were calculated from the logistic regression models. Model 1 is unadjusted; Model 2 is ad...
<p>Each ROC curve displays the sensitivity versus one minus specificity for each logistic regression...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
<p>The prevalence of diabetes (A), high triglycerides (B), low HDL (C), and high blood pressure (D) ...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
<p>The prevalence of diabetes (A), high triglycerides (B), low HDL (C), and high blood pressure (D) ...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
1<p>Model excludes subjects with diagnosed T2DM. Final model covariates entered in order: dyslipidae...
<p>Results of multiple logistic regression analyses, odds ratios and 95% confidence intervals for in...
<p>Regression logistic models: Odds Ratio for one SD increase in anthropometric measurements. Model ...
The number of people with diabetes is increasing all over the world. A misconception that diabetes i...
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
a<p>Logistic regression of T2D (n = 116) against NGT (n = 168) on lipid classes adjusted for age, se...
Background and Objectives: Diabetes is a chronic and common metabolic disease which has no curative ...
<p>Abbreviations: BMI, body mass index; WC, waist circumference; ABSI, a body shape index; AIC, Akai...
<p>P value were calculated from the logistic regression models. Model 1 is unadjusted; Model 2 is ad...
<p>Each ROC curve displays the sensitivity versus one minus specificity for each logistic regression...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
<p>The prevalence of diabetes (A), high triglycerides (B), low HDL (C), and high blood pressure (D) ...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
<p>The prevalence of diabetes (A), high triglycerides (B), low HDL (C), and high blood pressure (D) ...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
1<p>Model excludes subjects with diagnosed T2DM. Final model covariates entered in order: dyslipidae...
<p>Results of multiple logistic regression analyses, odds ratios and 95% confidence intervals for in...
<p>Regression logistic models: Odds Ratio for one SD increase in anthropometric measurements. Model ...
The number of people with diabetes is increasing all over the world. A misconception that diabetes i...
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
a<p>Logistic regression of T2D (n = 116) against NGT (n = 168) on lipid classes adjusted for age, se...
Background and Objectives: Diabetes is a chronic and common metabolic disease which has no curative ...
<p>Abbreviations: BMI, body mass index; WC, waist circumference; ABSI, a body shape index; AIC, Akai...
<p>P value were calculated from the logistic regression models. Model 1 is unadjusted; Model 2 is ad...