Table 3.
Association of different phospholipid species and total triglycerides with OC usage and cortisol.
| Compound | OC usage | cortisol | p-value for mediationd | |||||
|---|---|---|---|---|---|---|---|---|
| Model 1a | Model 2b | Model 3a | ||||||
| Mis., % | b(95%-CI) for OC usage | pc | b(95%-CI) for OC usage | pc | b(95%-CI) for cortisol | pc | ||
| Triglycerides | 1.7 | 0.37(0.18; 0.57) | 0.0001 | 0.27(0.06; 0.48) | 0.0129 | 0.22(0.11; 0.34) | 0.0001 | 0.020 |
| 1-linoleoylglycerophosphocholine (18:2n6) | 0.4 | −0.23(−0.37; −0.10) | 0.0009 | −0.17(−0.33; 0.00) | 0.0548 | −0.14(−0.24; −0.04) | 0.006 | 0.122 |
| 1-palmitoylglycerophosphate | 8.3 | 0.36(0.17; 0.56) | 0.0002 | 0.16(−0.06; 0.38) | 0.1425 | 0.28(0.16; 0.39) | 2.26e-06 | 0.001 |
| 2-linoleoylglycerophosphocholine | 0.4 | −0.24(−0.39; −0.10) | 0.0011 | −0.14(−0.32; 0.05) | 0.1539 | −0.17(−0.27; −0.08) | 0.0004 | 0.029 |
| 1-palmitoylglycerophosphoinositol | 17.0 | 0.44(0.30; 0.59) | 5.99e-09 | 0.29(0.08; 0.49) | 0.0061 | 0.29(0.20; 0.38) | 1.30e-09 | 0.007 |
| 1-palmitoylglycerophosphoethanolamine | 0.4 | 0.32(0.19; 0.44) | 1.08e-06 | 0.15(0.00; 0.29) | 0.0486 | 0.24(0.15; 0.33) | 1.62e-07 | 0.004 |
| 2-palmitoylglycerophosphoethanolamine | 20.9 | 0.30(0.14; 0.46) | 0.0002 | 0.13(−0.07; 0.33) | 0.1969 | 0.24(0.13; 0.33) | 1.12e-05 | 0.001 |
| 1-oleoylglycerophosphoinositol | 9.6 | 0.36(0.18; 0.54) | 0.0001 | 0.24(0.02; 0.46) | 0.0350 | 0.23(0.11; 0.35) | 0.0002 | 0.045 |
| 1-docosapentaenoylglycerophosphocholine (22:5n3) | 1.3 | −0.41(−0.60; −0.22) | 3.88e-05 | −0.28(−0.51; −0.05) | 0.0170 | −0.25(−0.38; −0.12) | 0.0001 | 0.033 |
| 1-docosahexaenoylglycerophosphoethanolamine | 0.4 | 0.24(0.12; 0.35) | 5.05e-05 | 0.12(−0.02; 0.26) | 0.0812 | 0.17(0.10; 0.25) | 7.65e-06 | 0.005 |
aModel 1: adjusted for age, waist circumference, blood cell counts, fasting time and time of blood sampling. bModel 2: adjusted for age, waist circumference, blood cell counts, fasting time, time of blood sampling and cortisol. cUncorrected p-values; Bonferroni threshold = 0.0012 (correcting for 41 test). dBootstrap derived p-value using 1000 replications for the significance of the indirect effect (difference between regression weights of OC intake between model 1 and model 2).