Table 4. Multiple linear regression for estimating the relation between irisin and related factors .
| Model 1 a | Model 2 b | M odel 3 c | Model 4 d | |||||
| Variables | β | p | β | p | β | P value | β | p |
| Leptin | -0.01 | 0.471 | -0.02 | 0.292 | - | - | - | - |
| Age (years) | -0.01 | 0.536 | - | - | - | - | - | - |
| Gender | 0.05 | 0.927 | - | - | - | - | - | - |
| Groups e | 0.78 | 0.001* | 0.77 | 0.001* | 0.99 | 0.042* | 0.75 | 0.001* |
| weight | -0.02 | 0.021* | -0.03 | 0.014* | 0.07 | 0.493 | - | - |
| WC f | -0.02 | 0.083 | -0.02 | 0.084 | 0.04 | 0.265 | - | - |
| BMI f | -0.11 | <0.001* | -0.11 | 0.006* | -0.36 | 0.241 | - | - |
| SBP f | 0.001 | 0.962 | 0.002 | 0.925 | - | - | - | - |
| FBS f | -0.09 | 0.198 | -0.009 | 0.247 | -0.001 | 0.983 | - | - |
| TG f | -0.003 | 0.013* | -0.003 | 0.025* | -0.002 | 0.206 | - | - |
| HDL f | 0.001 | 0.954 | 0.001 | 0.962 | - | - | - | - |
| MetS component | -0.27 | 0.053 | -0.26 | 0.073 | 0.35 | 0.178 | - | - |
| Fat mass | -0.04 | 0.055 | -0.04 | 0.046* | -0.18 | 0.604 | - | - |
| Fat free mass | 0.06 | 0.012* | 0.08 | 0.014* | 0.3 | 0.402 | - | - |
| Trunk fat | -0.03 | 0.238 | -0.03 | 0.219 | - | - | - | - |
| Fat index | -0.12 | 0.061 | -0.15 | 0.034* | 0.61 | 0.549 | - | - |
a Crude model
b Adjusted for demographic variables such as sex and age
cAdjusted model (all variables with p-value < 0.2 entered the model such as sex, groups, weight, WC, BMI, SBP, TG, HDL, MetS component, BMR, fat mass, fat free mass, trunk fat).
d Multivariate backward linear regression model.
e: study groups including; 1: MetS patient, 2: healthy obese, 3: normal weight without MetS
fWC: Waist Circumference, BMI: Body Mass Index, SBP: Systolic Blood Pressure, FBS: Fasting Blood Sugar, TG: Triglyceride, HDL: High Density Lipoprotein
*Significant at p value <0.05.