Table 4.
Summary of simple mediation models assessing the indirect effect of healthy eating, physical activity or medication adherence on the relationship between delay discounting and HbA1c.
| Bca 95% CIc | |||||||
|---|---|---|---|---|---|---|---|
| Mediator | Effect of DD on HbA1c | Effect of DD on mediator | Effect of Mediator on HbA1c | DD on HbA1c through mediator | Lower | Upper | Effect Ratiod |
| (Direct effect C’)a | (Path A)a | (Path B)a | (Indirect effect)b | ||||
| Healthy Eating Index | 0.017*(0.01) | −1.54 (0.06) | 0.00 (0.79) | −0.0007 | −0.007 | +0.005 | −0.0438 |
| Physical Activity | 0.015 (0.08) | −0.311* (0.04) | −0.002 (0.72) | 0.0007 | −0.002 | +0.007 | −0.0462 |
| Medication Adherence | 0.022* (0.02) | −2.32* (0.01) | 0.0012 (0.26) | −0.0028 | −0.001 | +0.002 | −0.1468 |
Standardized regression coefficients, p values in ().
The magnitude of the indirect effect is estimated by the product of the regression coefficients of the predictive variables from Path A (DD to mediator) and Path B (mediator to HbA1c).
BCa = bias-corrected and accelerated 95% confidence intervals obtained from 10,000 bootstrap resamples. Confidence intervals not containing zero suggest that the indirect effect is significant at the 0.95 level.
Effect ratio = indirect effect/total effect. The effect ratio quantifies the proportion of the total effect explained by the indirect effect.