Table 2. Linear Regression Models.
| Model 1. a Depedent variable: weight b Z-score, R2=0.59 | β-Standarized | P Value |
|---|---|---|
| Adipocyte volume c | 0.50 | < 0.001 |
| SREBP-1c expression c, d | 0.57 | < 0.001 |
| Activity index | 0.29 | 0.006 |
| SCD-1 expression c , d | -0.30 | 0.02 |
| Model 2. a Dependent variable: adipocyte volume c R2=0.59 | ||
| Normalized weight d | 0.43 | < 0.001 |
| SCD-1 activity | 0.27 | 0.009 |
| Adiponectin expression c, d | -0.43 | < 0.001 |
| CB1 receptor expression c, d | 0.37 | 0.001 |
| PPARg expression c, d | -0.33 | 0.003 |
aVariables related to the weight Z-score (model 1) and to adipocyte volume (model 2). Method: stepwise. Variables included in each analysis: Model 1: adipocyte volume, preadipocyte number, SREBP-1c expression, PPARg expression, CB1 receptor expression, Adiponectin expression, SCD-1 expression, INS receptor expression, IRS1 expression, osteocalcin expression, activity index. Model 2: weight Z-score, preadipocyte number, SREBP-1c expression, PPARg expression, CB1 receptor expression, Adiponectin expression, SCD-1 expression, INS receptor expression, IRS1 expression, osteocalcin expression, activity index.
bWeight normalized for gender and age
cThese variables were transformed using logarithms
dThe gene expressions are relativized to the expression of β-actin