<p>Dependent Variable: Ln_Fibrinogen</p><p>Independent Variables: Tertiles of Counts/minute. Tertiles of METS/hours/week.</p><p>Adjusted variables: Sex (1: male; 0: female); lnAge; Waist circumference. (cm); Alcohol (g/week); Total cholesterol. (mg/dL); Lipid lowering drugs (1:yes; 0:no); Mean blood pressure (mmHg)</p
a<p>Dependent Variable: Systolic Blood Pressure as a Continuous Variable.</p><p>Multivariate Analyse...
Multivariate linear regression analysis evaluating the association between physical inactivity and t...
<p>Serum AST and ALT values in all males (A, D), in males with VO<sub>100</sub> (B, E), and in males...
<p>Multivariate linear regression analysis of the bacterial groups significantly different between a...
<p>Data are presented as unstandardized βeta –Coefficients (95% confidence interval). βeta –Coeffici...
<p>The analysis also included gender, BMI, diabetes, systolic pressure, CCR, eGFR, creatinine, BUN, ...
<p>Model 1 (solid line): adjusted for month of measurement and sex. Model 2 (dashed, short): adjuste...
To analyze the relationship between regular physical activity, as assessed by accelerometer and 7-da...
<p>The analyses also included age, duration of exercise, creatinine, waist to hip ratio, fat percent...
To analyze the relationship between regular physical activity, as assessed by accelerometer and 7-da...
Disease (MONICA) Augsburg survey in 1989-1990 (#1=4,940), the association between nephelometric plas...
<p>*Counts per minute and time in activity bouts were not adjusted for MVPA as they were too correla...
a<p>Stepwise multiple regression analysis was used to select the independent variables in this model...
<p>Model 1 adjusted for age and gender.</p><p>Model 2 adjusted for age, gender and C-reactive protei...
<p>Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Mode...
a<p>Dependent Variable: Systolic Blood Pressure as a Continuous Variable.</p><p>Multivariate Analyse...
Multivariate linear regression analysis evaluating the association between physical inactivity and t...
<p>Serum AST and ALT values in all males (A, D), in males with VO<sub>100</sub> (B, E), and in males...
<p>Multivariate linear regression analysis of the bacterial groups significantly different between a...
<p>Data are presented as unstandardized βeta –Coefficients (95% confidence interval). βeta –Coeffici...
<p>The analysis also included gender, BMI, diabetes, systolic pressure, CCR, eGFR, creatinine, BUN, ...
<p>Model 1 (solid line): adjusted for month of measurement and sex. Model 2 (dashed, short): adjuste...
To analyze the relationship between regular physical activity, as assessed by accelerometer and 7-da...
<p>The analyses also included age, duration of exercise, creatinine, waist to hip ratio, fat percent...
To analyze the relationship between regular physical activity, as assessed by accelerometer and 7-da...
Disease (MONICA) Augsburg survey in 1989-1990 (#1=4,940), the association between nephelometric plas...
<p>*Counts per minute and time in activity bouts were not adjusted for MVPA as they were too correla...
a<p>Stepwise multiple regression analysis was used to select the independent variables in this model...
<p>Model 1 adjusted for age and gender.</p><p>Model 2 adjusted for age, gender and C-reactive protei...
<p>Model 1: not adjusted; Model 2: adjusted for age, gender, BMI, systolic BP and diastolic BP; Mode...
a<p>Dependent Variable: Systolic Blood Pressure as a Continuous Variable.</p><p>Multivariate Analyse...
Multivariate linear regression analysis evaluating the association between physical inactivity and t...
<p>Serum AST and ALT values in all males (A, D), in males with VO<sub>100</sub> (B, E), and in males...