Skip to main content
. 2010 Apr;99(4):604–611. doi: 10.1111/j.1651-2227.2009.01657.x

Table 2.

Linear Regression Models showing the effect of BMI, p-glucose, SBP, DBP and physical activity on each HRV parameter (a) in the non-clinical sample (b) in the clinical sample

HF
LF
SDNN
Beta (CI) Beta (CI) Beta (CI)
(a) Non-clinical sample
BMI 0.12 (−0.16 to 0.40) ns −0.19 (−0.47 to 0.09) ns −0.05 (−0.33 to 0.23) ns
p-glucose −0.01 (−0.27 to 0.25) ns 0.00 (−0.27 to 0.26) ns −0.06 (−0.32 to 0.21) ns
SBP 0.06 (−0.26 to 0.38) ns 0.23 (−0.09 to 0.55) ns 0.13 (−0.19 to 0.45) ns
DBP −0.37 (−0.68 to −0.07) −0.35 (−0.66 to −0.04) −0.41 (−0.71 to 0.10)
Physical activity 0.35 (0.09 to 0.61) 0.30 (0.04 to 0.56) 0.31 (0.05 to 0.56)
(b) Clinical sample
BMI −0.03 (−0.32 to 0.27) ns −0.25 (−0.53 to 0.03) ns −0.22 (−0.50 to 0.07) ns
p-glucose −0.05 (−0.36 to 0.26) ns 0.04 (−0.25 to 0.34) ns 0.07 (−0.24 to 0.37) ns
SBP −0.12 (−0.49 to 0.26) ns −0.11 (−0.48 to 0.25) ns −0.10 (−0.47 to 0.27) ns
DBP 0.02 (−0.37 to 0.41) ns 0.14 (−0.23 to 0.51) ns 0.05 (−0.33 to 0.43) ns
Physical activity −0.07 (−0.36 to 0.23) ns −0.12 (−0.40 to 0.16) ns −0.08 (−0.36 to 0.21) ns