*<p>Model (2) included all biomarkers, age, ethnicity, and key covariates, including smoking status (never vs. former, pack-years of cigarette smoking), education, use of medications (estrogen, statins, aspirin) and dietary supplements, and number of children. Model (3) shows the top 5 predictors from Model (2).</p><p>Abbreviations: IGFBP1 (insulin-like growth factor binding protein 1); LAR (leptin to high-molecular-weight adiponectin ratio); PAI1 (plasminogen activator inhibitor-1); SHBG (sex hormone binding globulin); sLEPR (soluble leptin receptor).</p
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
<p>Model 0: no adjustment.</p><p>Model 1: adjusted for age.</p><p>Model 2: adjusted for age, body ma...
BACKGROUND:The conventional measurement of obesity utilises the body mass index (BMI) criterion. Alt...
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
BACKGROUND:Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not f...
Background: Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not ...
<div><h3>Background</h3><p>Characterization of abdominal and intra-abdominal fat requires imaging, a...
<p>The additional contribution of adiponectin to predicting risk of high CIMT Model I include the ag...
<p>Model 1: unadjusted.</p><p>Model 2: adjusted for age and sex.</p><p>Model 3: adjusted for age, se...
<p>Logistic regression analysis: regression coefficients (B), standard errors (SE), odds ratios (OR)...
Objective: To study the association between head circumference z-score (HCz) and nutritional status/...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
Background: The conventional measurement of obesity utilises the body mass index (BMI) criterion. Al...
<p>Model I: adjusted for age.</p><p>Model II: model I+waist circumference and smoking history (and m...
<p>Leptin and the glucose-to-insulin ratio (G:I) in predicting body condition using multinomial logi...
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
<p>Model 0: no adjustment.</p><p>Model 1: adjusted for age.</p><p>Model 2: adjusted for age, body ma...
BACKGROUND:The conventional measurement of obesity utilises the body mass index (BMI) criterion. Alt...
<p>Total, abdominal (trunk-to-periphery fat ratio or TPFR), visceral and hepatic adiposity measureme...
BACKGROUND:Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not f...
Background: Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not ...
<div><h3>Background</h3><p>Characterization of abdominal and intra-abdominal fat requires imaging, a...
<p>The additional contribution of adiponectin to predicting risk of high CIMT Model I include the ag...
<p>Model 1: unadjusted.</p><p>Model 2: adjusted for age and sex.</p><p>Model 3: adjusted for age, se...
<p>Logistic regression analysis: regression coefficients (B), standard errors (SE), odds ratios (OR)...
Objective: To study the association between head circumference z-score (HCz) and nutritional status/...
<p>Total model R<sup>2</sup> for each body compartment and partial correlation coefficients (95% CI)...
Background: The conventional measurement of obesity utilises the body mass index (BMI) criterion. Al...
<p>Model I: adjusted for age.</p><p>Model II: model I+waist circumference and smoking history (and m...
<p>Leptin and the glucose-to-insulin ratio (G:I) in predicting body condition using multinomial logi...
For a human body to function properly it is essential to have a certain amount of body fat. Fat serv...
<p>Model 0: no adjustment.</p><p>Model 1: adjusted for age.</p><p>Model 2: adjusted for age, body ma...
BACKGROUND:The conventional measurement of obesity utilises the body mass index (BMI) criterion. Alt...