Table 6.
Regression for whites only. HUI3 = f(gender, proxy reporting, education, martial status, income, missing income, BMI, age, US without health insurance, country)
| Estimated Coefficient | Standard Error | T-Statistic | P-Value | |
| Constant | 0.89 | 0.02 | 57.31 | 0.00 |
| Gender (Female) | -0.01 | 0.01 | -1.84 | 0.07 |
| Proxy report | -0.14 | 0.03 | -4.52 | 0.00 |
| High school | 0.07 | 0.01 | 4.84 | 0.00 |
| College | 0.06 | 0.02 | 3.73 | 0.00 |
| University | 0.10 | 0.01 | 6.54 | 0.00 |
| Widow | -0.03 | 0.01 | -2.12 | 0.03 |
| Divorce | -0.05 | 0.01 | -4.15 | 0.00 |
| Single | 0.00 | 0.01 | -0.56 | 0.57 |
| Lowest income | -0.07 | 0.01 | -5.29 | 0.00 |
| Lower middle income | -0.04 | 0.01 | -3.12 | 0.00 |
| Higher middle income | 0.01 | 0.01 | 1.14 | 0.25 |
| Highest income | 0.02 | 0.01 | 2.81 | 0.01 |
| Missing Income | -0.01 | 0.01 | -0.67 | 0.51 |
| BMI0 (underweight) | -0.03 | 0.02 | -1.33 | 0.18 |
| BMI1 (overweight) | 0.00 | 0.01 | -0.15 | 0.88 |
| BMI2 (obese) | -0.06 | 0.01 | -6.02 | 0.00 |
| Age (45–64) | -0.05 | 0.01 | -7.42 | 0.00 |
| Age1 (65–74) | -0.05 | 0.01 | -5.19 | 0.00 |
| Age2 (75+) | -0.12 | 0.02 | -7.20 | 0.00 |
| US no insurance | -0.02 | 0.01 | -1.16 | 0.25 |
| Country (USA) | -0.02 | 0.01 | -2.92 | 0.00 |
Adjusted R20.14
Omitted categories: middle income quintile ($28,800–$41,999); BMI 18.5–24.9 (normal weight); Age 18–44; less than high school; male; married