Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolaemia with population groups and body mass index by gender.</p
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...
<p>Model 1 included waist, SBP, DBP, fasting glucose, HDL cholesterol and triglycerides along with d...
<p><sup></sup> Reference group in Italics.</p><p><sup></sup> Logistic regression model for each vari...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
<p>Multiple linear regression models (with introducing an interaction term between gender and BMI as...
Multivariate logistic regression analysis to assess relationships between associated risk factor and...
Multivariable binary logistic regression model of factors associated with controlled levels of blood...
<p>Model 1: not adjusted</p><p>Model 2: adjusted for age, gender and BMI</p><p>Model 3: adjusted for...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>BMI: body mass index. Model I included diabetes, hypertension, and age. Model II included diabete...
<p>N/A: this factor is not applicable for the gender specific model. Men: quadratic terms for BMI an...
Regression models of log-10 transformed lipid abundances as a function of age, BMI, sex and age by s...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>Data represent odds of lower eGFR category (mild renal impairment) with log-transformed values of...
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...
<p>Model 1 included waist, SBP, DBP, fasting glucose, HDL cholesterol and triglycerides along with d...
<p><sup></sup> Reference group in Italics.</p><p><sup></sup> Logistic regression model for each vari...
Adjusted logistic regression models for association of diabetes, hypertension and hypercholesterolae...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
<p>Multiple linear regression models (with introducing an interaction term between gender and BMI as...
Multivariate logistic regression analysis to assess relationships between associated risk factor and...
Multivariable binary logistic regression model of factors associated with controlled levels of blood...
<p>Model 1: not adjusted</p><p>Model 2: adjusted for age, gender and BMI</p><p>Model 3: adjusted for...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>BMI: body mass index. Model I included diabetes, hypertension, and age. Model II included diabete...
<p>N/A: this factor is not applicable for the gender specific model. Men: quadratic terms for BMI an...
Regression models of log-10 transformed lipid abundances as a function of age, BMI, sex and age by s...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>Data represent odds of lower eGFR category (mild renal impairment) with log-transformed values of...
<p>Note: All models are additionally adjusted for gender, age, marital status, and subjective health...
<p>Model 1 included waist, SBP, DBP, fasting glucose, HDL cholesterol and triglycerides along with d...
<p><sup></sup> Reference group in Italics.</p><p><sup></sup> Logistic regression model for each vari...