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. 2016 Dec 22;11(12):e0167921. doi: 10.1371/journal.pone.0167921

Table 5. Multivariate adjusted association of metabolic risk factors by tertiles of energy adjusted total bread intake.

Model 1 Model 2 Model 3 Model 4
Beta (SE) P value Beta (SE) P value Beta (SE) P value Beta (SE) P value
FBG 0.32(5.27) 0.03 0.31 (5.74) 0.03 0.28 (5.73) 0.04 0.27(5.73) 0.04
HbA1c 0.09 (0.15) 0.12 0.07 (0.16) 0.20 0.06 (0.16) 0.25 0.04 (0.16) 0.31
TG 0.002(7.80) 0.98 0.08 (0.001) 0.17 0.07(0.001) 0.21 0.07(0.001) 0.21
TC 0.08(0.001) 0.22 0.07(0.001) 0.22 0.07(0.001) 0.26 0.06(0.001) 0.32
HDL-c 0.01(0.001) 0.82 0.01(0.001) 0.76 0.02(0.001) 0.76 0.02(0.001) 0.71
LDL-c 0.05(0.002) 0.44 0.04(0.002) 0.51 0.03(0.002) 0.56 0.03(0.002) 0.64

FBG fasting blood glucose, HbA1c hemoglobin A1c, TG triglyceride, TC total cholesterol, HDL-c high density lipoprotein, LDL-c low density lipoprotein

In all cases linear regression coefficient was expressed as standardized coefficients Beta and standard error of mean as SE and p value of regression

Model 1 was adjusted for age, sex

Model 2 was adjusted for age, sex, fruit and vegetables intake (g/1000 Kcal per day)

Model 3 was adjusted for age, sex, fruit and vegetables intake (g/1000 Kcal per day), fiber intake (g/1000 Kcal per day)

Model 4 was adjusted for age, sex, fruit and vegetables intake (g/1000 Kcal per day), fiber intake (g/1000 Kcal per day) and duration of diabetes