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. 2020 Oct 30;22(12):2239–2249. doi: 10.1111/jch.14089

Table 4.

Linear regression analysis for factors possibly associated with 24‐h cPP levels in the total population

Parameter Univariate analysis Multivariable analysis
β 95% CI p β 95% CI p
Age (per year increase) 0.142 −0.009 to 0.292 .064 0.061 −0.052 to 0.175 .287
Female 2.723 −0.370 to 5.815 .084 2.489 0.244 to 4.734 .030
BMI (per kg/m2 increase) 0.182 −0.061 to 0.425 .139 0.139 −0.040 to 0.318 .126
Active smoking −0.129 −3.845 to 3.588 .945
Diabetes 6.233 3.437 to 9.028 <.001 2.427 0.196 to 4.657 .033
Coronary heart disease 0.869 −3.138 to 4.875 .668
Stroke 4.109 −2.183 to 10.401 .198 4.226 −0.037 to 8.489 .052
Peripheral vascular disease −1.561 −6.041 to 2.918 .491
Heart failure 0.233 −7.456 to 7.923 .952
Dyslipidemia 4.082 0.768 to 7.396 .016 2.306 −0.135 to 4.746 .064
Antihypertensive treatment 5.685 −5.011 to 16.380 .294
eGFR (per ml/min/1.73 m2 increase) −0.014 −0.099 to 0.072 .753
24‐h Urine sodium (per mEq/L increase) 0.001 −0.0001 to 0.002 .088 −0.0001 −0.001 to 0.001 .537
24‐h SBP (mmHg) 0.435 0.338 to 0.532 <.001 0.404 0.304 to 0.505 <.001
24‐h DBP (mmHg) −0.065 −0.266 to 0.137 .527

Statistically significant P values are marked with bold.