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. Author manuscript; available in PMC: 2008 Aug 20.
Published in final edited form as: Maturitas. 2007 Apr 23;57(4):347–360. doi: 10.1016/j.maturitas.2007.03.003

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.