. 2021 Mar 3;18(5):2507. doi: 10.3390/ijerph18052507

Table 4.

Multiple linear regression model to predict HRV Total Power and HRV Triangular index (T-index) as a function of UFP and noise exposure parameters, and of personal and lifestyle covariates.

	HRV Total Power		HRV T Index
Predictors	β (se)	p	β (se)	p
Constant	−17795.8 (8627.2)	0.053	−34.652 (21.50)	0.122
UFP Concentration	0.229 (0.130)	0.092	0.003 (0.001)	0.418
Size	−12.21 (18.16)	0.508	-0.37 (0.045)	0.420
Total LDSA	−0.038 (0.014)	0.016	−7.8 × 10⁻⁵ (0.00003)	0.042
LAeq8hr	33.17 (39.56)	0.411	0.139 (0.099)	0.172
Lc Peak	153.03 (64.49)	0.027	0.362 (0.161)	0.035
Age	−92.95 (38.13)	0.024	−0.187 (0.095)	0.062
BMI	64.73 (92.96)	0.494	−0.40 (0.232)	0.864
Hypertension	−439.43 (611.93)	0.481	−1673 (1.525)	0.285
Smoking	−1305.9 (836.51)	0.133	−2158 (2.085)	0.312
R²	0.473		0.512
With Interaction Term 1 (Total LDSA × Lc Peak)
Total LDSA × Lc Peak	−0.002 (0.007)	0.739	−2.09 × 10⁻⁵ (1.7 × 10⁻⁵)	0.242
Total LDSA	0.283 (0.953)	0.769	0.003 (0.002)	0.255
Lc Peak	167.66 (78.89)	0.046	0.488 (0.190)	0.019
Age	−94.87 (39.37)	0.026	0.204 (0.095)	0.044
R²	0.476		0.545