Table 2. Correlations Between all Variables (N = 3848).
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
---|---|---|---|---|---|---|---|---|---|---|
1 | Gender | — | .05** | −.00 | −.03 | −.07*** | .09*** | .06*** | −.08*** | −.10*** |
2 | Race | — | −.06*** | −.04* | -.00 | −.05** | .06*** | −.03 | −.07*** | |
3 | Health | — | −.17*** | .23*** | .14*** | −.09*** | .31*** | .20*** | ||
4 | Age | — | −.14*** | .09*** | −.23*** | −.06*** | −.27*** | |||
5 | Education | — | .05** | .03 | .15*** | .17*** | ||||
6 | Support | — | −.37*** | .39*** | .04* | |||||
7 | Strain | — | −.29*** | .11*** | ||||||
8 | Control | — | .15*** | |||||||
9 | Activity | — |
Note.
P ≤ .05,
P ≤ .01,
P ≤ .001.
Gender was dichotomized such that 0 = male and 1 = female; race was dichotomized such that 0 = Caucasian and 1 = other racial background; and education was dichotomized such that 0 = high school graduation or less and 1 = some college or more.