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. 2021 Feb 25;12:571229. doi: 10.3389/fendo.2021.571229

Table 6.

Regression analysis on the effect of prolactin upon hormonal and metabolic outcomes in patients with non-PCOS.

Variables PRL Age BMI R R2 Adjusted R2
Waist–hip ratio −0.427 −0.790 1.315 0.081 0.007 −0.002
Basal serum LH (nmol/L) −0.569 −4.056** −4.874** 0.38 0.057 0.053
LH/FSH −0.348 −5.951** −5.951** 0.230 0.053 0.049
T (nmol/L) 1.157 −3.468* 1.428 0.152 0.023 0.019
FPG (mmol/L) −0.315 1.427 4.780** 0.192 0.037 0.037
FINS (pmol/L) 1.497 −1.986 12.772** 0.439 0.439 0.189
HOMA-IR(log10) 1.319 −1.483 12.514** 0.430 0.185 0.182
HOMA-β 0.945 −2.221* 9.423** 0.343 0.118 0.114

Multiple regression analyses were performed with metabolic and hormonal outcomes as dependent variables and prolactin, age, and BMI as explanatory variables.

Data are presented as B-values (P-levels): *P < 0.05, **P< 0.001.