TABLE 2.
Multivariate linear regression models for predictor variables of BMI (n = 40).
Model A | Model B | ||||
Regression Coefficient (β) | p-value | Regression Coefficient (β) | p-value | ||
Proliferation (72hr) | −0.205 | 0.164 | Proliferation (72hr) | −0.148 | 0.310 |
Log-p16 | 0.149 | 0.489 | Log-p16 | 0.241 | 0.132 |
Log-p21 | 0.536 | 0.001*** | Log-p21 | 0.264 | 0.172 |
Log-p53 | 0.159 | 0.311 | Log-p53 | 0.205 | 0.157 |
PPARγ | −0.106 | 0.479 | PPARγ | 0.025 | 0.871 |
Log-MCP-1 | 0.125 | 0.396 | Log-IL-6 | 0.578 | <0.001*** |
***p ≤ 0.001 Forward Selection. PPARγ, peroxisome proliferator-activated receptor-γ; MCP, macrophage chemoattractant protein-1; IL-6, interleukin-6. Values in bold font represent the strongest correlates for the model.