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. 2019 Jul 16;16(14):2530. doi: 10.3390/ijerph16142530

Table 4.

Unadjusted and multivariable regression models (Adjusted for gender, age, BMI and smoking status) estimating the effects of a 1% increase in DNA methylation on cardiovascular outcomes (Peak VO2/Kg, PAS at rest and PAD at rest).

N Unadjusted Models Multivariable Models
β a (95% CI) p-Value β a (95% CI) p-Value
Peak VO2/Kg (mL min−1 Kg−1)
ALU 134 0.3 (0.01, 0.6) 0.045 0.38 (0.13, 0.64) 0.004
LINE-1 118 0.37 (0.02, 0.72) 0.039 0.31 (−0.01, 0.63) 0.059
NOS3 122 0.08 (−0.07, 0.24) 0.299 0.04 (−0.1, 0.18) 0.553
EDN1 130 0.95 (−0.06, 1.96) 0.064 0.93 (0.02, 1.83) 0.046
NOS2 130 0.17 (0.03, 0.3) 0.014 0.16 (0.04, 0.27) 0.009
ICAM1 128 0.06 (−0.25, 0.37) 0.699 0.08 (−0.21, 0.36) 0.587
TLR2 132 0 (−0.1, 0.11) 0.935 0 (−0.11, 0.09) 0.823
TNF 132 0.16 (0.02, 0.31) 0.029 0.14 (0.01, 0.27) 0.042
Systolic blood pressure at rest (mmHg)
ALU 134 −0.4 (−0.92, 0.14) 0.146 −0.5 (−1.02, 0.05) 0.074
LINE-1 118 −0.9 (−1.6, −0.14) 0.021 −0.9 (−1.59, −0.12) 0.023
NOS3 122 −0.1 (−0.36, 0.21) 0.582 0 (−0.31, 0.26) 0.854
EDN1 130 −3.0 (−4.93, −0.99) 0.004 −3.0 (−4.89, −1.02) 0.003
NOS2 130 −0.4 (−0.63, −0.1) 0.007 −0.4 (−0.65, −0.13) 0.004
ICAM1 128 −0.1 (−0.73, 0.52) 0.740 −0.2 (−0.86, 0.4) 0.474
TLR2 132 0.1 (−0.11, 0.32) 0.344 0.11 (−0.11, 0.32) 0.323
TNF 132 0 (−0.31, 0.29) 0.940 0.01 (−0.29, 0.31) 0.957
Diastolic blood pressure at rest (mmHg)
ALU 134 −0.4 (−0.81, 0.08) 0.104 −0.3 (−0.77, 0.1) 0.125
LINE-1 118 −0.6 (−1.19, 0.06) 0.074 −0.5 (−1.11, 0.12) 0.112
NOS3 122 −0.2 (−0.42, 0.05) 0.125 −0.1 (−0.34, 0.12) 0.328
EDN1 130 −2.0 (−3.62, −0.29) 0.022 −1.7 (−3.34, −0.12) 0.035
NOS2 130 −0.3 (−0.51, −0.07) 0.012 −0.3 (−0.5, −0.08) 0.008
ICAM1 128 −0.1 (−0.65, 0.41) 0.654 −0.2 (−0.7, 0.35) 0.506
TLR2 132 0.07 (−0.11, 0.24) 0.465 0.05 (−0.12, 0.22) 0.555
TNF 132 −0.1 (−0.36, 0.14) 0.378 −0.1 (−0.34, 0.15) 0.459

a To estimate the effects of DNA methylation on cardiovascular outcomes, the level of each sequence methylation was examined in relation to cardiovascular outcomes. This association was verified on all the measures performed in the study, regardless of whether they were measured on samples taken at baseline (i.e., T0) or after physical training (T1). In the models, the two samples collected at different times are exchangeable, thus assuming that DNA methylation levels produced similar modifications at the two time points.