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. 2021 Jul 30;13(8):2640. doi: 10.3390/nu13082640

Table 4.

The associations (beta regression coefficients (95% CIs)) between E-DII score quartiles and normalized cardiometabolic risk indicators among the 276 women participants a.

Q1
−4.89 to −3.43
Q2
−3.42 to −1.63
Q3
−1.62 to 1.16
Q4
1.17 to 4.45
p for Linear Trend b
Total cholesterol
Model 1 c Ref. 0.052
(0.025, 0.080)
0.055
(0.028, 0.082)
0.094
(0.067, 0.122)
<0.001
Model 2 d Ref. 0.053
(0.025, 0.080)
0.054
(0.027, 0.082)
0.095
(0.066, 0.123)
<0.001
HDL-c
Model 1 c Ref. −0.017
(−0.061, 0.028)
−0.036
(−0.080, 0.009)
−0.028
(−0.073, 0.017)
0.421
Model 2 d Ref. −0.015
(−0.060, 0.030)
−0.034
(−0.079, 0.011)
−0.024
(−0.070, 0.022)
0.511
LDL-c
Model 1 c Ref. 0.063
(0.018, 0.108)
0.051
(0.006, 0.096)
0.076
(0.031, 0.121)
0.006
Model 2 d Ref. 0.064
(0.018, 0.109)
0.050
(0.004, 0.095)
0.077
(0.030, 0.124)
0.007
Waist circumference
Model 1 c Ref. 0.036
(0.006, 0.067)
0.052
(0.022, 0.082)
0.057
(0.027, 0.088)
<0.001
Model 2 e Ref. 0.032
(0.004, 0.060)
0.045
(0.017, 0.074)
0.040
(0.012, 0.069)
0.008
Body mass index
Model 1 c Ref. 0.007
(−0.019, 0.032)
0.020
(−0.005, 0.046)
0.042
(0.017, 0.068)
0.007
Model 2 e Ref. 0.002
(−0.001, 0.006)
0.003
(−0.001, 0.007)
−0.001
(−0.004, 0.003)
0.151
Glucose
Model 1 c Ref. −0.012
(−0.035, 0.011)
0.001
(−0.022, 0.023)
0.014
(−0.009, 0.036)
0.169
Model 2 d Ref. −0.012
(−0.035, 0.010)
0.002
(−0.024, 0.021)
0.008
(−0.015, 0.031)
0.380
Systolic blood pressure
Model 1 c Ref. 0.017
(0.001, 0.033)
0.018
(0.002, 0.034)
0.019
(0.003, 0.035)
0.064
Model 2 d Ref. 0.016
(0.001, 0.031)
0.015
(−0.001, 0.030)
0.012
(−0.003, 0.029)
0.137
Diastolic blood pressure
Model 1 c Ref. 0.021
(−0.001, 0.043)
0.041
(0.019, 0.062)
0.035
(0.013, 0.056)
0.001
Mean arterial pressure
Model 1 c Ref. 0.019
(0.002, 0.036)
0.030
(0.013, 0.047)
0.028
(0.010, 0.045)
0.003
Model 2 d Ref. 0.019
(0.003, 0.036)
0.029
(0.012, 0.045)
0.023
(0.007, 0.040)
0.006

Abbreviations: CI: confidence interval; DII: dietary inflammatory index; Q: quartile. a All models were constructed using linear regression; b p values for linear trend were calculated using the exposure as the continuous variable.c Model 1 was the unadjusted model; d Model 2 was adjusted for age, ethnicity, education, household per capita income, and BMI; e Model 2 was adjusted for age, ethnicity, education, and household per capita income.