Skip to main content
. 2016 May 27;116:1421–1432. doi: 10.1007/s00421-016-3399-6

Table 3.

Stepwise multiple linear regression models for popliteal BFR

B SE B Stand β R SEE Sig F change
(A) Model 1a
 Block 1
  Constant 34.83 15.87
  MAP 0.85 0.18 0.58* 0.58 9.75 0.001
 Block 2
  Constant 11.02 16.99
  MAP 0.74 0.17 0.51*
  BMI 1.49 0.53 0.33* 0.67 9.06 0.007
 Block 3
  Constant 21.48 22.04
  MAP 0.76 0.17 0.52*
  BMI 1.99 0.85 0.44*
  Thigh circumference −0.41 0.54 −0.14 0.67 9.11 0.457
(B) Model 2b
 Block 1
  Constant 39.62 15.58
  DBP 0.99 0.21 0.57* 0.57 9.89 0.001
 Block 2
  Constant 4.65 17.07
  DBP 0.92 0.19 0.53*
  BMI 1.78 0.50 0.39* 0.69 8.83 0.001
 Block 3
  Constant 5.88 23.16
  DBP 0.92 0.19 0.53*
  BMI 1.83 0.84 0.40*
  Thigh circumference −0.04 0.53 −0.15 0.69 8.93 0.936
(C) Model 3c
 Block 1
  Constant 39.63 15.59
  DBP 0.99 0.21 0.57* 0.57 9.90 0.001
 Block 2
  Constant −7.71 23.24
  DBP 0.95 0.20 0.55*
  Thigh circumference 0.87 0.33 0.30* 0.64 9.31 0.012

a R 2 = 0.34 Block 1, ∆R 2 = 0.102 Block 2, ∆R 2 = 0.00 Block 3. * P < 0.05

b R 2 = 0.32 Block 1, ∆R 2 = 0.092 Block 2 (P < 0.05), ∆R 2 = 0.00 Block 3 (P = 0.937). * P < 0.05

c R 2 = 0.32 Block 1, ∆R 2 = 0.092. * P < 0.05