Table 4.
Results of the mixed linear model for the dependent variable IGFBP-1
| Effect | Parameter estimate | se | P value |
|---|---|---|---|
| Intercept | 8.890 | 0.057 | <0.0001 |
| Tanner I | 2.250 | 1.360 | 0.0099 |
| Tanner II | 2.098 | 0.269 | 0.0190 |
| Tanner III | 1.458 | 0.399 | 0.4639 |
| Age (Tanner I) | 1.550 | 0.026 | 0.0034 |
| Age (Tanner II) | 1.512 | 0.046 | 0.0269 |
| Age (Tanner III) | 0.971 | 0.067 | 0.1504 |
| Age (Tanner IV and V) | 0.397 | 0.050 | 0.4286 |
| Fat mass | −0.580 | 0.057 | <0.0001 |
| Lean mass | −1.111 | 0.240 | <0.0001 |
| Sex | −0.063 | 0.092 | 0.4963 |
| E2 | −0.079 | 0.041 | 0.0564 |
| Testosterone | −0.033 | 0.036 | 0.3518 |
| Ethnicity | 0.441 | 0.081 | <0.0001 |
Significant effects are in bold type. All continuously distributed variables were log transformed to correct for skewed distributions. Ethnicity and sex were coded in the models as follows: EA = 0; AA = 1; male = 0; female = 1. Age (Tanner), The age nested in the TS variable was used to account for changes in age within each TS.