Table 3.

Effects of adjustment of the HRV metric by the approach proposed by Monfredi et al. (2014) on its correlation to HR, the unadjusted HRV, BMI, and age

	Slope of exponential relationship between HRV metric and HR	Correlation of HRV metric to HR before adjustment	Correlation of HRV metric to HR after adjustment	Correlation between unadjusted HRV and adjusted HRV metric	Correlation between BMI and HRV metric before adjustment	Correlation between BMI and HRV metric after adjustment	Correlation between age and HRV metric before adjustment	Correlation between age and HRV metric after adjustment
NTR
SDNN
During sleep	–0.027	–0.69	0.02	0.68	−0.15	−0.08	−0.35	−0.42
During work	–0.021	–0.52	0.02	0.82	−0.15	–0.18	−0.31	−0.45
During leisure time	–0.017	–0.62	0.02	0.75	−0.22	−0.26	–0.30	−0.49
RMSSD
During sleep	–0.039	–0.55	0.04	0.76	–0.12	–0.06	–0.35	–0.37
During work	–0.035	–0.53	0.03	0.79	–0.14	–0.17	–0.29	–0.42
During leisure time	–0.025	–0.52	0.02	0.81	–0.18	–0.20	–0.21	–0.33
RSA
During sleep	–0.020	–0.30	0.03	0.92	–0.08	–0.03	–0.37	–0.37
During work	–0.021	–0.36	0.03	0.88	–0.18	–0.20	–0.34	–0.42
During leisure time	–0.016	–0.39	0.02	0.89	–0.26	–0.29	–0.41	–0.49
MIDUS
SDNN
During baseline	–0.020	–0.40	0.01	0.89	–0.08	–0.06	–0.29	–0.39
During math	–0.019	–0.39	0.02	0.89	–0.11	–0.12	–0.27	–0.37
During Stroop	–0.017	–0.36	–0.01	0.91	–0.12	–0.13	–0.23	–0.31
RMSSD
During baseline	–0.032	–0.44	–0.01	0.85	0.03	0.05	–0.18	–0.27
During math	–0.032	–0.47	–0.03	0.85	0.01	0.01	–0.18	–0.32
During Stroop	–0.031	–0.45	–0.03	0.86	0.00	–0.01	–0.15	–0.24
HF
During baseline	–0.057	–0.24	–0.02	0.88	0.05	0.05	–0.15	–0.23
During math	–0.058	–0.29	–0.02	0.86	0.01	–0.01	–0.13	–0.24
During Stroop	–0.064	–0.26	–0.02	0.82	0.00	–0.02	–0.07	–0.14

Mean age was 34.1 (± 9.6) in NTR and 54.7 (± 12.3) in MIDUS. Mean BMI was 24.0 (± 4.1) in NTR and 30.0 (± 7.0) in MIDUS.