Table 4.
Variables | Total Effect (c) | Direct Effect (c’) | Indirect Effect (ab) | ||||||
---|---|---|---|---|---|---|---|---|---|
Independent Variable and Mediators | β | SE | CI | β | SE | CI | β | SE | CI |
Total CHEI score | −0.228 | 0.102 | −0.433, −0.023 | ||||||
via Chao | −0.109 | 0.098 | −0.306, 0.088 | −0.119 | 0.063 | −0.249, −0.004 | |||
via Shannon | −0.121 | 0.099 | −0.320, 0.079 | −0.108 | 0.061 | −0.230, 0.004 | |||
via Simpson | −0.139 | 0.106 | −0.352, 0.074 | −0.090 | 0.048 | −0.200, −0.008 | |||
Calcium | −0.006 | 0.003 | −0.011, −0.0004 | ||||||
via Chao | −0.003 | 0.002 | −0.008, 0.002 | −0.003 | 0.002 | −0.006, 0.0001 | |||
via Shannon | −0.003 | 0.003 | −0.008, 0.002 | −0.002 | 0.002 | −0.006, 0.0001 | |||
Phosphorus | −0.006 | 0.002 | −0.011, −0.0007 | ||||||
via Chao | −0.003 | 0.002 | −0.008, 0.001 | −0.002 | 0.002 | −0.006, 0.0002 | |||
Selenium | −0.086 | 0.031 | −0.149, −0.023 | ||||||
via Shannon | −0.055 | 0.031 | −0.116, 0.007 | −0.031 | 0.017 | −0.063, 0.003 |
Mediation analyses were conducted through linear regression using the PROCESS macro for SPSS adjusting for age, BMI, family monthly income, education level, menopausal status, employment, residence, marital status and SAS score. A bootstrap method using iterations of computed samples (5000) was used to determine the significance of the indirect effects.