Table 2.
Linear Regression Modeling of Predictors, ICV:ECV Ratio (R 2 0.921)
| Variables | Standardized Beta Coefficient | t | Significance |
|---|---|---|---|
| Constant | 33.623 | <.0001 | |
| OH % of ECV | −0.799 | −19.198 | <.0001 |
| Fat mass, % of body weight | −0.623 | −13.863 | <.0001 |
| Diuretics, thiazide‐type (yes/no) | −0.143 | −3.356 | .001 |
| Body mass index, kg/m2 | 0.135 | 2.953 | .005 |
| Age | −0.090 | −2.052 | .045 |
Abbreviations: ECV, extracellular fluid volume; ICV, intracellular fluid volume; OH%, overhydration relative to the extracellular fluid volume; OH, overhydration as measured by bioimpedance. Result of linear regression modeling, with ICV:ECV as an independent variable in linear regression modeling with stepwise selection. Overall adjusted R 2 for the final model: 0.914. Excluded variables from the model (step 5) are sex, presence of diabetes mellitus, number of antihypertensive medications, and creatinine clearance (Cockroft‐Gault formula).