Table 2.
Model | Outcome | Predictor | b* | t | p |
---|---|---|---|---|---|
1 | Human milk insulina | Serum insulin, adjustedb | 0.50 | 2.97 | <.01 |
2 | Human milk insulina | Fat mass, adjustedc | 1.13 | 3.13 | <.01 |
3 | Human milk leptin | Serum leptin | 0.96 | 17.26 | <.0001 |
4 | Human milk leptin | Fat mass, adjustedd | 1.02 | 5.45 | <.0001 |
5 | Human milk adiponectin | Serum adiponectin, adjustede | 0.77 | 6.46 | <.0001 |
6 | Human milk adiponectin | Fat mass, adjustedf | 0.20 | 0.46 | .65 |
n = 24, one mother was a statistical outlier for human milk insulin and so her data were excluded from all milk insulin analyses.
Linear regression model was adjusted for duration of time from the last breastfeeding to the start of the human milk collection.
Linear regression model was adjusted for duration of time from the last breastfeeding to the start of the human milk collection and fat-free mass.
Linear regression model was adjusted for fat-free mass.
Linear regression model was adjusted for maternal age at measurement; n = 24, one mother was a statistical outlier and her data were excluded from this regression model.
Linear regression model was adjusted for maternal age at measurement and fat-free mass.