Table 4c. Regression models examining the patterning of race, SES, and sex and their pairwise interactions with allostatic load scores in the total sample, using either the simple summary scoring algorithm (versions i and iii) or the MIDUS approach (versions iv and vi).1.
Results from linear regression models where AL was created using MIDUS method of construction (version iv)1
| AL score (version iv)2 | Independent associations | Pairwise interactions | ||||
|---|---|---|---|---|---|---|
|
| ||||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
|
| ||||||
| Intercept 3 | 0.82 (0.78, 0.98) | 1.09 (0.98, 1.21) | 0.86 (0.73, 0.98) | 0.93 (0.79, 1.07) | 0.80 (0.66, 0.94) | 0.97 (0.80, 1.14) |
| non-Black | male | high SES | non-Black male | non-Black and high SES | male and high SES | |
|
Race (non-Hispanic Black vs. non-Black) |
0.51 (0.34, 0.68) | - | - | 0.44 (0.20, 0.67) | 0.28 (−0.02, 0.59) | - |
|
Sex (female vs. male) |
- | −0.07 (−0.24, 0.10) | - | −0.10 (−0.30, 0.10) | - | −0.24 (−0.49, 0.01) |
|
Cumulative life course SES3 (low vs. high) |
- | - | 0.35 (0.18, 0.52) | - | 0.17 (−0.03, 0.37) | 0.22 (−0.01, 0.45) |
| Race*Sex | - | - | - | 0.15 (−0.19, 0.49) | - | - |
| Race*SES | - | - | - | - | 0.24 (−0.14, 0.61) | - |
| Sex*SES | - | - | - | - | - | 0.28 (−0.06, 0.61) |
1
Associations obtained from linear regression model; estimated AL scores for a given group can be calculated by summing relevant betas
2
Version iv: MIDUS approach, with medication correction and no sex- and/or age-specific high-risk quartiles for any biomarkers
3
Italiscized description under the intercept values identifies the subgroup for which the exponentiated intercept provides an AL score