Table 3.
Multiple Linear Regression Model (Using Imputed Data) Predicting General Health
| General health (N=398) | ||
|---|---|---|
| Block 1 | Block 2 | |
| B (s.e.) | B (s.e.) | |
| Control variables | ||
| Routine checkup in past 2 years (y/n) | 0.01 (0.13) | 0.08 (0.13) |
| Exercise in past month (y/n) | 0.50a (0.12) | 0.51a (0.12) |
| Health insurance (y/n) | −0.14 (0.14) | −0.11 (0.14) |
| Annual household income | 0.22a (0.05) | 0.20a (0.05) |
| No. of adults in household | −0.07 (0.05) | −0.07 (0.04) |
| No. of children in household | 0.05 (0.07) | 0.05 (0.06) |
| Race (white/POC) | −.05 (0.13) | <0.01 (0.13) |
| Depression (ever told by provider) | −0.45a (0.10) | −0.40a (0.10) |
| Predictor variables | ||
| Noninclusive PCP scale | −0.05 (0.03) | |
| Delay care—fear discrimination | −0.26b (0.12) | |
| Model results (original data only) | ||
| F value | 9.41a | 8.61a |
| Adjusted R2 | 0.19 | 0.21 |
Before imputation, in Blocks 1 and 2 of the general health model, the number of adults in the household was significant at the p<0.05 level. Constant not displayed here.
a
p<0.001.
b
p<0.05.
POC, person of color.