Table 4 Multiple regression estimating covariate-adjusted main and interaction effect associations between each analyte against HRQL total.
Model | Analyte1 | Main effect model2 | Interaction model2 | ||
---|---|---|---|---|---|
Coefficient (95% CI) | p-value | Coefficient (95% CI) | p-value | ||
1 | ln(Adiponectin) | -0.02 (-0.14, 0.10) | 0.720 | -0.15 (-0.40, 0.11) | 0.255 |
 | ln(Adiponectin) x Age | – | – | 0.01 (-0.01, 0.04) | 0.273 |
2 | ln(ALP) | -0.13 (-0.22, -0.03) | 0.012 | 0.04 (-0.22, 0.30) | 0.740 |
 | ln(ALP) x Age | – | – | -0.02 (-0.04, 0.01) | 0.169 |
3 | ln(ALT) | -0.12 (-0.21, -0.03) | 0.007 | -0.01 (-0.28, 0.26) | 0.917 |
 | ln(ALT) x Age | – | – | -0.01 (-0.04, 0.02) | 0.402 |
4 | ln(Cholesterol) | 0.02 (-0.06, 0.11) | 0.585 | 0.17 (-0.01, 0.36) | 0.066 |
 | ln(Cholesterol) x Age | – | – | -0.02 (-0.04, 0.00) | 0.074 |
5 | FFA | 0.01 (-0.26, 0.29) | 0.920 | 0.41 (-0.31, 1.13) | 0.256 |
 | FFA x Age | – | – | -0.04 (-0.10, 0.03) | 0.235 |
6 | Glucose | -0.05 (-0.14, 0.03) | 0.223 | -0.19 (-0.38, 0.01) | 0.058 |
 | Glucose x Age | – | – | 0.02 (-0.01, 0.04) | 0.128 |
7 | IGF-1 | -0.06 (-0.17, 0.05) | 0.277 | -0.16 (-0.36, 0.03) | 0.104 |
 | IGF-1 x Age | – | – | 0.01 (-0.01, 0.03) | 0.219 |
8 | Insulin | -0.15 (-0.24, -0.06) | 0.002 | -0.22 (-0.42, -0.01) | 0.037 |
 | Insulin x Age | – | – | 0.01 (-0.01, 0.03) | 0.448 |
9 | Linoleic acid (18:2n6) | 0.07 (-0.20, 0.35) | 0.586 | 0.68 (-0.04, 1.40) | 0.064 |
 | Linoleic acid (18:2n6) x Age | – | – | -0.06 (-0.13, 0.01) | 0.075 |
10 | Oleic acid (18:1n9) | -0.17 (-0.43, 0.10) | 0.208 | -0.11 (-0.83, 0.60) | 0.750 |
 | Oleic acid (18:1n9) x Age | – | – | 0.00 (-0.07, 0.06) | 0.874 |
11 | Palmitic acid (16:0) | -0.06 (-0.33, 0.21) | 0.674 | 0.35 (-0.37, 1.08) | 0.331 |
 | Palmitic acid (16:0) x Age | – | – | -0.04 (-0.10, 0.02) | 0.225 |
12 | SFA | 0.14 (-0.14, 0.42) | 0.316 | 0.43 (-0.21, 1.06) | 0.183 |
 | SFA x Age | – | – | -0.03 (-0.09, 0.03) | 0.318 |