Table 4.
Summary of covariate adjusted multiple and logistic regression models predicting CRP levels
| Variable | B (95% CI)a | SE | t | p | Odds Ratio (95% CI)b | p |
|---|---|---|---|---|---|---|
| Age | .001 (-.02, .04) | .002 | .67 | .50 | 1.00 (.98, 1.03) | .47 |
| Ethnicity | .02 (-.03, .08) | .03 | .81 | .41 | .80 (.55, 1.14) | .24 |
| Education | -.03 (-.06, -.01) | -.08 | -2.62 | .009 | 1.98 (1.12, 3.31) | .009 |
| Household income | .00 (.00, .00) | .01 | -.82 | .41 | 1.00 (1.00, 1.00) | .69 |
| Self-rated physical health | -.04 (-.06, -.01) | -.09 | -3.03 | .002 | .71 (.60, .84) | < .001 |
| Smoker status | .13 (.07, .20) | .12 | 3.99 | < .001 | .54 (.36, .82) | .004 |
| BMI (kg/m2) | .02 (.02, .03) | .31 | 10.67 | < .001 | 1.10 (1.07, 1.13) | < .001 |
| Mean systolic blood pressure | .00 (.00, .01) | .05 | 1.99 | .05 | 1.00 (1.01, 1.02) | .01 |
| Total diseases | -.02 (-.05, .01) | -.04 | -1.27 | .20 | .95 (.76, 1.19) | .66 |
| Total medications | .05 (.00, .11) | .06 | 1.96 | .05 | 1.17 (.82, 1.68) | .37 |
| Psychological distress | -.00 (-.03, .03) | .02 | -.28 | .78 | .93 (.76, 1.14) | .48 |
| C4 (married men vs. all others) | .09 (.05, .15) | .12 | 3.69 | < .001 | .56 (.39, .79) | .001 |
| C5 (married women vs. unmarried men and women) | -.04 (-.10, .03) | -.03 | 1.06 | .30 | .71 (.48, 1.08) | .11 |
| C6 (unmarried men vs. unmarried women) | .02 (-.05, .10) | .02 | .57 | .56 | .90 (.54, 1.51) | .70 |
Note.
a
Model predicting continuous, log-transformed CRP levels.
b
Model predicting CRP group membership; partcipants were classified into low- (CRP <=3.0 mg/L) and high-risk (CRP > 3.0 mg/L) groups. CI = Confidence Interval.
SE = Standard error. Ethnicity grouping compares Caucasians to all other participants; Education grouping compares those with less than a high school degree to all other participants. Due to missing data across the different variables, the sample size for this analysis was 1,115 participants.