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Table 4 Coefficients of determination (R2) and residual correlations (ρ) by section of the selected path analysis model (via stepwise regression)

From: A structural equation model to assess the pathways of body adiposity and inflammation status on dysmetabolic biomarkers via red cell distribution width and mean corpuscular volume: a cross-sectional study in overweight and obese subjects

  

Inflammation markers

(first level mediators)

Red Blood markers

(second level mediators)

Outcomes

CRP

ROS

Slope

Lag-time

RDW

MCV

Insulin

HOMA

HDL

BGL

Inflammationmarkers

(first level mediators)

CRP

0.108

(P = 0.027)

0.097

(P = 0.294)

0.160

(P = 0.033)

−0.020

(P = 0.708)

ROS

 

0.018

(P < 0.001)

Slope

  

0.059

(P < 0.001)

−0.233

(P = 0.013)

Lag-time

   

0.213

(P < 0.001)

Red Blood-markers (second level mediators)

RDW

    

0.252

(P < 0.001)

0.000

(P = 0.998)

MCV

     

0.042

(P < 0.001)

Outcomes

Insulin

      

0.029

(P < 0.001)

0.981

(P < 0.001)

−0.171

(P = 0.040)

0.021

(P = 0.629)

HOMA

       

0.032

(P < 0.001)

−0.157

(P = 0.055)

0.141

(P = 0.003)

HDL

        

0.052

(P < 0.001)

0.104

(P = 0.293)

BGL

         

0.009

(P = 0.107)

  1. R2’s are on the diagonal, residual correlations (ρ) in the upper triangular matrix (in bold: P < 0.05)
  2. CRP C-Reactive Protein, ROS Reactive Oxygen Species, RDW Red Cell Distribution Width, MCV Mean Corpuscular Volume, HOMA Homeostasis Model Assessment, HDL high-density lipoprotein cholesterol, BGL Blood Glucose Level