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Table 4 Multiple regression analysis models (stepwise method) with the SBP and DBP as a dependent variable (Model 1 and Model 2, respectively) to estimate the predictive value of anthropometric measurements, inflammatory biomarker, and body composition parameters

From: Very low-calorie ketogenic diet (VLCKD): an antihypertensive nutritional approach

Parameters

Multiple Regression analysis

 

R2

β

t

*p-value

Model 1- SBP

    

∆hs - CRP levels

0.381

0.621

9.21

< 0.001

∆FM

0.418

0.210

3.07

0.003

Variables excluded: ∆BMI, ∆WC, ∆PhA, and ∆TBW

Model 2—DBP

    

∆hs-CRP levels

0.199

0.452

5.89

< 0.001

Variables excluded: ∆BMI, ∆PhA, ∆Na / K ratio, and ∆ECW

  1. * A p value in bold type denotes a significant difference (p < 0.05).
  2. SBP systolic blood pressure, hs - CRP high - sensitivity C - reactive protein, FM fat mass, BMI body mass index, WC waist circumference, PhA phase angle, TBW total body water, DBP diastolic blood pressure, Na sodium, K potassium, ECW Extracellular water.