Research Article

Association of Lifestyle and Body Composition on Risk Factors of Cardiometabolic Diseases and Biomarkers in Female Adolescents

Table 3

Multiple linear regression model referent to the association among inflammatory markers, lifestyle (LCA model), and cardiometabolic disease risk factors.

TNF-α
Independent variablesβ-Coefficient ln (exp)CI 95% ln (exp)Standardized β-coefficient ln (exp) valueR2Adjusted R2F test

LCA model
#Active & sedentary LS + Inactive & non-Sedentary LS
10.0440.038
Inactive & sedentary LS0.221 (1.24)0.069 (1.07)-0.374 (1.45)0.161 (1.17)0.005
hs-CRP0.31 (1.36)0.127 (1.13)-0.494 (1.63)0.187 (1.20)0.001

IL-6
Independent variableβ-Coefficient) ln (exp)CI 95% ln (exp)Standardized β-coefficient
ln (exp)
valueR2R2 adjustedF test
HOMA-IR0.319 (1.37)0.239 (1.26)-0.399 (1.49)0.0260.013

Leptin
Independent variableβ-Coefficient ln (exp)CI 95% ln (exp)Standardized β-coefficient ln (exp) valueR2R2 AdjustedF test
BF%0.064 (1.06)0.057 (1.05)-0.072 (1.07)0.431 (1.53)<0.0010.340.335<0.001
HOMA-IR0.101 (1.10)0.036 (1.03)-0.166 (1.18)0.186 (1.20)<0.001

The method for selecting variables was backward. #Class 1 and class 2 collapsed; Cardiometabolic markers that showed normal distribution after logarithmic transformation. Standardized β-coefficient was not used because with IL-6 only one variable showed association. ln: β-coefficient values presented for natural logarithm of independent variables; exp:: exp(β)-; TNF-α: tumor necrosis factor-α; IL-6: Interleukin-6; BF%: body fat percentage; hs-CRP: high sensitivity C-reactive protein; HOMA-IR: homeostasis model assessment–insulin resistance.