. Author manuscript; available in PMC: 2015 Apr 12.

Published in final edited form as: Occup Environ Med. 2014 Mar 13;71(5):338–345. doi: 10.1136/oemed-2013-101884

Table 3.

Effects of FRS on HRV by FRS Quartiles^*

	FRS

HRV indices	Q1	Q2	Q3	Q4	P_trend^†
SDNN	Ref	−0.16 −0.20, −0.11	−0.25 −0.29, −0.20	−0.33 −0.37, −0.28	<0.0001
RMSSD	Ref	−0.14 −0.19, −0.09	−0.21 −0.26, −0.16	−0.24 −0.29, −0.19	<0.0001
TP	Ref	−0.32 −0.42, −0.22	−0.54 −0.64, −0.44	−0.73 −0.83, −0.63	<0.0001
LF	Ref	−0.35 −0.47, −0.23	−0.66 −0.78, −0.53	−0.95 −1.07, −0.82	<0.0001
HF	Ref	−0.44 −0.57, −0.32	−0.68 −0.81, −0.54	−0.84 −0.98, −0.71	<0.0001
LF/HF	Ref	0.10 −0.01, 0.20	0.02 −0.09, 0.13	−0.10 −0.21, 0.01	0.126

Abbreviations: FRS, Framingham risk score; HF, high frequency; HRV, heart rate variability; LF, low frequency; LF/HF, LF to HF ratio; rMSSD, root mean square of successive differences in adjacent NN intervals; SDNN, standard deviation of NN intervals; TP, total power.

Variables are presented as beta coefficients (β) and 95% confidence intervals (CIs). Q1: FRS, 10-year % < 2; Q2: 2 ≤ FRS, 10-year % < 7.3; Q3: 7.3 ≤ FRS, 10-year % < 9; Q4: FRS, 10-year % ≥ 9.

^†

P value for the multivariable linear regression analysis adjusting for BMI, passive smoking, physical activity, alcohol consumption, and diet.