Table 2.
Hierarchical multiple regression analyses predicting change in stress (post – baseline) after lifestyle-based intervention (N=169).
| Independent variable | ΔR2 | β a |
|---|---|---|
| Step 1: demographic variables | 0.05 | |
| Education | ||
| Less than high school graduateb | ||
| High school graduate | 0.07 | |
| Some college or technical school | 0.11 | |
| Four years of college or more | 0.22∗ | |
| Gender | ||
| Maleb | ||
| Female | 0.08 | |
| Race | ||
| Whiteb | ||
| African American | 0.11 | |
| Hispanic/Latino | 0.20∗ | |
| Asian | −0.03 | |
| Others | 0.10 | |
| Age (years) | −0.04 | |
| Monthly income | ||
| $0–$999b | ||
| $1,000–$1,999 | −0.08 | |
| $2,000–$2,999 | −0.04 | |
| $3,000 or more | 0.09 | |
|
| ||
| Step 2 | 0.20∗∗∗ | |
| Stress at baseline (points) | −0.49∗∗∗ | |
|
| ||
| Step 3 | <0.01 | |
| Control groupb | ||
| Intervention group | 0.03 | |
| Total R2 | 0.25∗∗∗ | |
Note. aβ shown is for the last step. bReference category. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.