Observational Study
Copyright ©The Author(s) 2022.
World J Hepatol. May 27, 2022; 14(5): 1006-1015
Published online May 27, 2022. doi: 10.4254/wjh.v14.i5.1006
Table 1 General characteristics of study participants by quartiles score of dietary phytochemical index

Q4 (N = 1278)
Q3 (N = 1278)
Q2 (N = 1278)
Q1 (N = 1277)
P value1
Age (Yr)47.5 ± 9.545.9 ± 8.845.5 ± 8.846.4 ± 9.1< 0.001
BMI (kg/m2) 28.2 ± 4.928.3 ± 7.728.2 ± 10.927.9 ± 5.00.647
Waist circumference (cm)94.1 ± 11.894.3 ± 11.594.2 ± 11.494.7 ± 12.10.668
WHR0.9 ± 0.10.9 ± 0.10.9 ± 0.80.9 ± 0.30.021
Systolic blood pressure (mm/Hg)109.1 ± 16.4106.8 ± 15.8106.7 ± 15.1107.4 ± 16.2< 0.001
Diastolic blood pressure (mm/Hg)67.3 ± 11.066.8 ± 11.066.8 ± 10.367.2 ± 10.60.451
Metabolic equivalent of task (h/wk)42.0 ± 6.541.0 ± 6.641.6 ± 7.241.3 ± 6.8< 0.01
WSI0.2 ± 0.70.2 ± 0.70.2 ± 0.70.1 ± 0.7< 0.001
Gender men (%)578 (45.2)543 (42.5)609 (47.7)548 (45.7)0.071
Smoking< 0.01
Never smoker (%)1086 (85.0)1088 (85.1)1045(81.8)1052 (82.4)
Current smoker (%)106 (8.3)128 (10.0)161 (12.6)140 (11.0)
Ex_smoker (%)86 (6.7)62 (4.9)72 (5.6)85 (6.7)
Education< 0.001
Uneducated and elementary (%)536 (41.9)506 (39.6)501 (39.2)612 (48.0)
Middle and high school487 (38.2)535 (38.2)541 (42.3)472 (37.0)
University or college degree224 (17.5)212 (16.6)195 (15.3)168 (13.2)
Postgraduate31 (2.4)25 (2.0)40 (3.1)24 (1.9)
Multivitamin mineral use0.211
Never (%)1244 (97.4)1242 (97.2)1231 (96.5)1245 (97.6)
Daily (%)1 (0.1)02 (0.2)1 (0.1)
Weekly (%)4 (0.3)1 (0.1)1 (0.1)0
Monthly (%)1 (0.1)4 (0.3)2 (0.2)0
Yearly (%)27 (2.1)31(2.4)39 (3.1)30 (2.4)
Metabolic syndrome213 (16.7)225 (17.6)216 (16.9)233 (18.2)0.713
Table 2 Biochemical parameters of study participants by quartiles score of dietary phytochemical index

Q4 (N = 1278)
Q3 (N = 1278)
Q2 (N = 1278)
Q1 (N = 1277)
P value1,2
ALT (U/L)22.6 ± 15.422.3 ± 17.123.2 ± 17.321.9 ± 16.70.225
AST (U/L)19.0 ± 7.419.0 ± 10.3219.4 ± 8.519.1 ± 7.50.562
GGT (U/L)27.9 ± 22.826.5 ± 23.527.2 ± 23.026.2 ± 27.70.338
ALP (U/L)176.8 ± 52.7180.5 ± 50.3181.0 ± 49.7185.7 ± 59.3< 0.01
Cholesterol (mg/dL)195.4 ± 39.0191.9 ± 40.6189.5 ± 38.8189.9 ± 59.8< 0.01
Triglyceride (mg/dL)162.4 ± 96.4155.0 ± 100.8157.5 ± 99.8152.5 ± 96.20.075
HDL-C (mg/dL)53.6 ± 12.354.0 ± 12.152.9 ± 12.053.8 ± 12.40.116
LDL-C (mg/dL)111.4 ± 31.2107.9 ± 31.2106.4 ± 30.9106.7 ± 55.1< 0.01
FBS (mg/dL)97.6 ± 32.795.5 ± 20.094.4 ± 15.996.0 ± 21.8< 0.01
BUN (mg/dL)27.3 ± 7.627.0 ± 7.326.9 ± 7.127.4 ± 7.00.241
Creatinine (mg/dL)1.1 ± 0.21.1 ± 0.21.1 ± 0.21.1 ± 0.20.135
Table 3 Linear regression analysis of the correlations between score of dietary phytochemical index and levels of liver enzymes.

P value
Β (95%CI)
ALT
Crude0.4740.02 (-0.002 to 0.06)
Model I0.0630.02 (-0.002 to 0.09)
Model II0.1090.02 (-0.009 to 0.08)
Model III0.10.02 (-0.008 to 0.08)
Model IV0.0970.02 (-0.007 to 0.08)
AST
Crude0.751-0.004 (-0.02 to -0.01)
Model I0.902-0.002 (-0.02 to 0.02)
Model II0.773-0.005 (-0.02 to 0.02)
Model III0.9-0.002 (-0.02 to 0.02)
Model IV0.917-0.002 (-0.02 to 0.02)
GGT
Crude0.1540.02 (-0.01 to 0.11)
Model I0.3280.01 (-0.03 to 0.10)
Model II0.4330.01 (-0.04 to 0.09)
Model III0.3660.01 (-0.03 to 0.10)
Model IV0.3650.01 (-0.03 to 0.10)
ALP
Crude< 0.001-0.05 (-0.43 to -0.15)
Model I< 0.01-0.04 (-0.39 to -0.07)
Model II< 0.01-0.04 (-0.39 to -0.08)
Model III0.019-0.03 (-0.34 to -0.03)
Model IV0.014-0.03 (-0.35 to -0.04)