Table 4d. 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 negative binomial regression models where AL created using MIDUS method of construction (version vi)1
AL score (version vi)2 | Independent associations | Pairwise interactions | ||||
---|---|---|---|---|---|---|
| ||||||
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| ||||||
Intercept 3 | 0.90 (0.79, 1.00) | 0.94 (0.83, 1.05) | 0.85 (0.73, 0.98) | 0.80 (0.66, 0.94) | 0.82 (0.68, 0.96) | 0.84 (0.68, 1.01) |
non-Black | male | high SES | non-Black male | non-Black and high SES | male and high SES | |
Race (non-Hispanic Black vs. non-Black) |
0.49 (0.32, 0.66) | - | - | 0.38 (0.15, 0.61) | 0.15 (−0.15, 0.45) | - |
Sex (female vs. male) |
- | 0.26 (0.10, 0.43) | - | 0.20 (−0.00, 0.39) | - | 0.02 (−0.23, 0.26) |
Cumulative life course SES3 (low vs. high) |
- | - | 0.38 (0.21, 0.54) | - | 0.16 (−0.04, 0.36) | 0.17 (−0.05, 0.40) |
Race*Sex | - | - | - | 0.26 (−0.08, 0.59) | - | - |
Race*SES | - | - | - | - | 0.39 (−0.02, 0.76) | - |
Sex*SES | - | - | - | - | - | 0.41 (−0.09, 0.74) |
Associations obtained from linear regression model; estimated AL scores for a given group can be calculated by summing relevant betas
Version vi: MIDUS approach, with medication correction and no sex- and/or age-specific high-risk quartiles for any biomarkers
Italiscized description under the intercept values identifies the subgroup for which the exponentiated intercept provides an AL score