Table 2.
Correlations between mean changes in anthropometric measurements and mean changes in laboratory measurements, and multivariate linear regression analysis to identify the best correlation changes in HOMA-IR score
| Correlation Analysis | Multivariate Linear Regression Analysis | ||||||||
| Variables | ΔFBG | ΔInsulin | ΔHOMA-IR | ΔHOMA-IR* | |||||
| p | r | p | r | p | r | b (SE)* | β* | p* | |
| ΔBW | 0.010 | 0.254 | 0.020 | 0.230 | <0.001 | 0.362 | - | - | - |
| ΔBMI | 0.007 | 0.264 | 0.012 | 0.247 | <0.001 | 0.371 | 0.344 (0.145) | 0.299 | 0.020 |
| ΔTAT% | 0.020 | 0.231 | 0.416 | - | 0.203 | - | -0.152 (0.103) | -0.310 | 0.143 |
| ΔVAT | 0.001 | 0.316 | 0.005 | 0.275 | 0.001 | 0.324 | 0.308 (0.136) | 0.435 | 0.026 |
| ΔTBAT mass | 0.067 | - | 0.226 | - | 0.092 | - | - | - | - |
| ΔTBAT% | 0.240 | - | 0.545 | - | 0.936 | - | -0,103 (0.071) | -0.166 | 0.148 |
| ΔNC | 0.265 | - | 0.230 | - | 0.202 | - | 0.020 (0.111) | 0.066 | 0.523 |
| ΔWC | 0.033 | 0.212 | 0.421 | - | 0.211 | - | 0.071 (0.039) | 0.062 | 0.606 |
| ΔHC | 0.015 | 0.240 | 0.398 | - | 0.122 | - | -0.026 (0.041) | -0.073 | 0.532 |
“Δ”symbol at the front of a variable indicates the mean change in the variable after dieting. “-” sign indicates lack of correlation between variables (p>0.05). *Dependent variable is ΔHOMA-IR score. BW: body weight, BMI: body mass index, TAT: trunk adipose tissue, VAT: visceral adipose tissue, TBAT: total body adipose tissue, NC: neck circumference, WC: waist circumference, HC: hip circumference, FBG: fasting blood glucose, HOMA-IR: homeostatic model assessment of insulin resistance.