Table 3.
Linear regression models for BMI status and biomarkers
| Univariate | Multivariable* | |||||||
|---|---|---|---|---|---|---|---|---|
| Beta | 95% LB | 95% UB | p-value | Beta | 95% LB | 95% UB | p-value | |
| Serum markers | ||||||||
| SHBG | −30.61 | −46.66 | −14.56 | <0.001 | −39.43 | −62.84 | −16.02 | 0.001 |
| Adiponectin | −279.05 | −449.89 | −108.22 | 0.002 | −239.79 | −478.61 | −0.97 | 0.049 |
| Leptin | 36.63 | 17.75 | 55.51 | <0.001 | 40.73 | 13.49 | 67.96 | 0.004 |
| Insulin | 6.74 | 3.98 | 9.49 | <0.001 | 6.71 | 3.45 | 9.97 | <0.001 |
| IGFBP1 | −2.64 | −3.58 | −1.70 | <0.001 | −3.38 | −4.79 | −1.97 | <0.001 |
| Log(IGFBP2) | −0.50 | −0.90 | −0.11 | 0.014 | −0.59 | −1.20 | 0.02 | 0.057 |
| Endometrial biomarkers | ||||||||
| Log(IGF-1) | −0.39 | −0.74 | −0.03 | 0.032 | −0.59 | −1.14 | −0.03 | 0.039 |
| Log(Survivin) | −0.45 | −0.90 | 0.00 | 0.049 | −0.72 | −1.42 | −0.02 | 0.045 |
| Log(RALDH2) | −0.24 | −0.48 | 0.00 | 0.049 | −0.26 | −0.63 | 0.10 | 0.154 |
| PR | −0.35 | −0.56 | −0.14 | 0.002 | −0.49 | −0.81 | −0.16 | 0.004 |
*
models adjusted by race/ethnicity, education, age at menarche, number of live births, history of oral contraceptive use, daily anti-inflammatory medication use; log transformations made on specific markers to ensure regression assumptions were met. Bold indicates statistical significance with p-value <0.05.