Table 5.
Multiple Linear Regression Coefficients for Adult Blood Pressure (mm Hg) Per 1 Unit Increase in Current Weight, Weight at Age 18, Weight Change From 18 Years to Current, and Conditional Relative Weight (CRW)
| Simple Models* | Adjusted Models† | Combined Models 1‡ | Combined Models 2§ | |||||
|---|---|---|---|---|---|---|---|---|
| β (95% CI) | P Value | β (95% CI) | P Value | β (95% CI) | P Value | β (95% CI) | P Value | |
| Systolic blood pressure | ||||||||
| Current weight | 0.46 (0.37, 0.55) | <0.001 | 0.56 (0.42, 0.70) | <0.001 | ||||
| Weight at age 18 | 0.17 (0.05, 0.28) | 0.005 | 0.15 (0.03, 0.28) | 0.018 | 0.52 (0.36, 0.67) | <0.001 | 0.36 (0.22, 0.49) | <0.001 |
| Weight change from 18 years to current | 0.49 (0.39, 0.60) | <0.001 | 0.30 (0.17, 0.42) | <0.001 | 0.60 (0.45, 0.75) | <0.001 | ||
| Conditional relative weight|| | 0.57 (0.46, 0.68) | <0.001 | 0.44 (0.30, 0.59) | <0.001 | 0.60 (0.45, 0.75) | <0.001 | ||
| Diastolic blood pressure | ||||||||
| Current weight | 0.32 (0.25, 0.38) | <0.001 | 0.35 (0.25, 0.45) | <0.001 | ||||
| Weight at age 18 | 0.09 (0.01, 0.18) | 0.041 | 0.08 (−0.02, 0.18) | 0.106 | 0.31 (0.19, 0.43) | <0.001 | 0.21 (0.11, 0.31) | <0.001 |
| Weight change from 18 years to current | 0.36 (0.28, 0.44) | <0.001 | 0.20 (0.11, 0.30) | <0.001 | 0.39 (0.27, 0.50) | <0.001 | ||
| Conditional relative weight|| | 0.41 (0.33, 0.49) | <0.001 | 0.30 (0.19, 0.40) | <0.001 | 0.39 (0.27, 0.50) | <0.001 | ||
Only included subjects without antihypertension medication use (n=1169).
Simple models: blood pressure was regressed on current weight, weight at age 18, weight change from 18 years to current, and conditional relative weight, respectively; without adjustment for covariates.
Adjusted models: blood pressure was regressed on current weight, weight at age 18, weight change from 18 years to current, and conditional relative weight, respectively; adjusted for age, height, and waist circumference.
Combined models 1: included weight at age 18 and weight change from 18 years to current into 1 regression model, adjusted for age, height, and waist circumference.
Combined models 2: included weight at age 18 and conditional relative weight into 1 regression model, adjusted for age, height, and waist circumference.
Conditional relative weight (CRW): calculated as a residual of current weight regressed on weight at age 18. CRW=Exact current weight−Expected current weight; Expected current weight=a+b×weight at age 18.