Table 5.
Multiple regression model for the prediction of log free androgen index (FAI) in African-American women aged 49 – 65 years. Data presented are correlation coefficients (β-coef) and associated standard error (S.E.) and P-values for each factor in the model. Model statistics show the final number of observations (N), the predictive value of the model (Adj. R2) and associated P-value
Log FAI Model | |||
---|---|---|---|
Factor | β-coef. | S.E. | P |
Log DHEAS | 0.818 | 0.152 | 0.000 |
Log adiponectin | -0.356 | 0.172 | 0.042 |
PT/bw knee ext (120°) | -0.016 | 0.013 | 0.223 |
PT/bw ankle ext (120°) | 0.014 | 0.032 | 0.662 |
Lean mass/height | 0.00003 | 0.00003 | 0.23 |
BMD total hip | -0.267 | 0.819 | 0.745 |
Meds_Beta-blocker | 0.218 | 0.358 | 0.545 |
Meds_Estrogen | -0.920 | 0.274 | 0.001 |
Model Statistics | |||
N | 99 | ||
Adj. R2 | 0.42 | ||
P | < 0.0001 |
DHEAS = dehydroepiandrosterone sulfate; SHBG = sex hormone-binding globulin; PT/bw = peak torque/body weight; BMD = bone mineral density.