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. 2017 Apr 21;19(9):910–918. doi: 10.1111/jch.13008

Table 4.

Linear Regression With PWV as the Dependent Variable

Characteristics Unadjusted Adjusted Model 1a Adjusted Model 2a Adjusted Model 3a Adjusted Model 4a
Coefficient β (SE) P Value Coefficient β (SE) P Value Coefficient β (SE) P Value Coefficient β (SE) P Value Coefficient β (SE) P Value
Age, y 0.122 (0.024) <.001 0.121 (0.025) <.001 0.136 (0.022) <.001 0.138 (0.022) <.001 0.127 (0.022) <.001
BMI, kg/m2 –0.025 (0.059) .668 –0.110 (0.054) .040 –0.074 (0.046) .103 –0.077 (0.045) .091 –0.074 (0.047) .113
Office mean BP, mm Hg 0.009 (0.017) .581 0.019 (0.014) .178
24‐h mean BP, mm Hg 0.064 (0.018) <.001 0.076 (0.015) <.001
Daytime mean BP, mm Hg 0.061 (0.019) .001 0.075 (0.015) <.001
Nighttime mean BP, mm Hg 0.066 (0.017) <.001 0.066 (0.015) <.001
Diabetes 0.028 (0.587) .962 0.172 (0.515) .738 0.102 (0.443) .818 0.108 (0.442) .807 0.118 (0.454) .796
Former smoking 0.115 (0.741) .876 0.611 (0.666) .359 0.294 (0.565) .603 0.338 (0.562) .548 0.202 (0.582) .728
Current smoking –1.279 (0.574) .026 –1.462 (0.498) .003 –1.135 (0.422) .007 –1.149 (0.420) .006 –1.114 (0.432) .010
OSA (AHI ≥15) 1.392 (0.503) .006 1.050 (0.468) .025 0.799 (0.407) .050 0.859 (0.405) .034 0.741 (0.419) .077
Female sex 0.230 (0.521) .659 0.316 (0.503) .529 0.696 (0.444) .117 0.794 (0.444) .073 0.450 (0.454) .321
eGFR –0.025 (0.013) .051 –0.004 (0.013) .788 0.011 (0.012) .382 0.009 (0.012) .474 0.012 (0.013) .327

Abbreviations: AHI, apnea‐hypopnea index; BMI, body mass index; eGFR, estimated glomerular filtration rate; OSA, obstructive sleep apnea; PWV, pulse wave velocity; SE, standard error. P values in bold indicate statistical significance.

a

All variables were included simultaneously in adjusted models with the following differences: adjusted model 1: using office mean blood pressure (BP); adjusted model 2: using 24‐hour mean BP; adjusted model 3: using daytime mean BP; and adjusted model 4: using nighttime mean BP.