Table 3

Multivariable linear regression analysis regarding the association between PLT or WBC and the MD and further adjusted for FAC or dietary fiber intake

CountModel 1Model 2Model 3Model 4
β (95% CI)Pβ (95% CI)Pβ (95% CI)Pβ (95% CI)P
PLT         
 MDS −1.05 (−1.65 to −0.46) .0005 −1.21 (−1.81 to −0.61) <.0001 −1.15 (−1.75 to −0.55) .0002 −0.85 (−1.56 to −0.135 .020 
 IMI −1.21 −1.76 to −0.66) <.0001 −1.28 (−1.83 to −0.72) <.0001 −1.18 (−1.73 to −0.62) <.0001 −0.98 (−1.66 to −0.29) .005 
WBC         
 MDS −0.024 (−0.04 to −0.01) .004 −0.022 (−0.04 to −0.01) .008 −0.019 (−0.03 to −0.003) .019 −0.009 (−0.03 to 0.01) .33 
 IMI −0.042 (−0.06 to −0.03) <.0001 −0.039(−0.05 to −0.02) <.0001 −0.033 (−0.05 to −0.02) <.0001 −0.033 (−0.05 to −0.01) .0003 
CountModel 1Model 2Model 3Model 4
β (95% CI)Pβ (95% CI)Pβ (95% CI)Pβ (95% CI)P
PLT         
 MDS −1.05 (−1.65 to −0.46) .0005 −1.21 (−1.81 to −0.61) <.0001 −1.15 (−1.75 to −0.55) .0002 −0.85 (−1.56 to −0.135 .020 
 IMI −1.21 −1.76 to −0.66) <.0001 −1.28 (−1.83 to −0.72) <.0001 −1.18 (−1.73 to −0.62) <.0001 −0.98 (−1.66 to −0.29) .005 
WBC         
 MDS −0.024 (−0.04 to −0.01) .004 −0.022 (−0.04 to −0.01) .008 −0.019 (−0.03 to −0.003) .019 −0.009 (−0.03 to 0.01) .33 
 IMI −0.042 (−0.06 to −0.03) <.0001 −0.039(−0.05 to −0.02) <.0001 −0.033 (−0.05 to −0.02) <.0001 −0.033 (−0.05 to −0.01) .0003 

Model 1 included age and sex. Model 2 included age, sex, energy intake, BMI, physical activity, smoking, education, hypertension, diabetes, and hypercholesterolemia. Model 3 as in model 2 but further adjusted for CRP. Model 4 as in model 3 but further adjusted for FAC and dietary fiber intake. All the analyses with PLTs were further controlled for hematocrit.

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