Table 2 Coefficients from linear regression models predicting SMU over FtF.
Predictor | Model 1 | Model 2 | Model 3 | Model 4 | ||||
|---|---|---|---|---|---|---|---|---|
b (p) | 95% CI | b (p) | 95% CI | b (p) | 95% CI | b (p) | 95% CI | |
CRP | .16 (.033) | [.01, .31] | .17 (.028) | [.02, .33] | .19 (.019) | [.03, .36] | .14 (.07) | [− .01, .29] |
Gender | .37 (.19) | [− .18, .92] | .37 (.19) | [− .18, .91] | .14 (.58) | [− .38, .66] | ||
Age | − .02 (.64) | [− .12, .07] | − .02 (.68) | [− .12, .08] | − .01 (.80) | [− .10, .08] | ||
M_edu | .10 (.51) | [− .19, .38] | .08 (.60) | [− .21, .37] | .10 (.47) | [− .17, .37] | ||
F_edu | .05(.69) | [− .20, .30] | .06 (.64) | [− .19, .31] | .05 (.70) | [− .19, .28] | ||
Income | − .04 (.45) | [− .15, .07] | − .05 (.40) | [− .16, .06] | − .03 (.53) | [− .14, .07] | ||
BMI | − .02 (.40) | [− .08, .03] | − .03 (.33) | [− .08, .03] | ||||
Depr | .95 (< .001) | [.52, 1.39] | ||||||
R2 | .04 | .06 | .07 | .20 | ||||