Table 2.
SES Proxy | Effect of SES on BMI (Total Effect)a | Effect of SES on FR (Path A)a | Effect of FR on BMI (Path B)a | SES on BMI through FR (Indirect Effect)b | Bca 95% CIc
|
Effect Ratiod | |
---|---|---|---|---|---|---|---|
Lower | Upper | ||||||
Income | −0.37 | −46.32 | 0.0015 | −0.068 | −0.23 | −0.0017 | 0.19 |
Education | −0.94 | −137.07 | 0.0015 | −0.097 | −0.35 | −0.0052 | 0.10 |
Standardized regression coefficients.
The magnitude of the indirect effect is estimated by the product of the regression coefficients of the predictive variables from Path A and Path B.
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.