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Case Control Study
Copyright: ©Author(s) 2026.
World J Gastroenterol. Oct 28, 2026; 32(40): 121401
Published online Oct 28, 2026. doi: 10.3748/wjg.121401
Table 1 Univariate analysis of the association between categorical variables and steatotic liver disease
Categorical variables
Case group (n = 273)
Control group (n = 244)
χ2
P value
Number
Composition ratio (%)
Number
Composition ratio (%)
Gender46.923< 0.0001
    Male15958.246928.28
    Female11441.7617571.72
Diabetes5.4800.019
    Yes279.89114.51
    No24690.1123395.49
Table 2 Variables with no collinearity

Tolerance
VIF
Gender0.4262.35
Diabetes0.971.031
NC0.147.167
TyG-WHtR10.1456.897
HSI0.2454.085
CVAI0.5711.75
Thigh circumference0.2064.85
ALM%0.2194.559
Waist-to-hip ratio0.1975.088
Tolerance > 0.1VIF < 10
Table 3 After removing collinearity, one-way analysis of the association between continuous variables and steatotic liver disease
Continuous variables
SLD (n = 273)
Non-SLD (n = 244)
P value
T/U
NC, means (SE)40.03 (3.63)34.66 (4.27)< 0.000115.445
Waist-to-hip ratio, means (SE)0.98 (0.06)0.89 (0.07)< 0.000115.013
TyG-WHtR1, median (IQR)5.57 (5.09-6.01)4.34 (3.79-4.95)< 0.00018275.000
HSI, means (SE)44.11 (7.08)33.94 (7.66)< 0.000115.497
CVAI1, median (IQR)145.31 (107.11-191.65)63.45 (33.44-98.05)< 0.00018993.000
Thigh circumference1, median (IQR)59.70 (56.03-63.50)52.28 (48.10-56.98)< 0.000112359.500
ALM%, means (SE)463.93 (56.28)405.13 (56.20)< 0.000111.866
Table 4 The results of logistic regression analysis showed three parameters that were significantly associated with steatotic liver disease

B
SE
Wald
df
P value
Exp (B)
95% EXP (B)
Gender1.5510.40914.3541< 0.00014.7172.11410.523
Diabetes0.4510.5500.67510.4111.5710.5354.612
NC-0.1930.0776.21210.0130.8240.7080.960
TyG-WHtR2.0200.39526.1211< 0.00017.5363.47316.350
CVAI0.0180.00336.5311< 0.00011.0181.0121.024
HSI0.0410.0292.00510.1571.0420.9841.103
Thigh circumference-0.0600.0432.01210.1560.9410.8661.023
Waist-to-hip ratio1.8293.8200.22910.6326.2250.00311108.643
ALM%0.0100.0054.37710.0361.0101.0011.019
Constant-9.7262.56314.3961< 0.00010.000
Table 5 Quartile-specific prevalence of steatotic liver disease according to triglyceride glucose-waist-to-height ratio levels
Quartile
TyG-WHtR range
n
SLD cases
SLD prevalence (%)
Unadjusted OR (95%CI)
Q1 (lowest)P2512975.41.00 (Reference)
Q2P25-P501295744.213.80 (5.97-31.88)
Q3P50-P751309472.345.51 (19.39-106.80)
Q4 (highest)> P7512911589.1143.16 (55.80-366.90)
P for trend< 0.0001
Table 6 Quartile-specific prevalence of steatotic liver disease according to Chinese Visceral Adiposity Index levels
Quartile
CVAI range
n
SLD cases
SLD prevalence (%)
Unadjusted OR (95%CI)
Q1 (lowest)P2512975.41.00 (Reference)
Q2P25-P501295744.213.80 (5.97-31.88)
Q3P50-P751309270.842.20 (18.00-98.70)
Q4 (highest)> P7512911790.7169.93 (64.70-446.60)
P for trend< 0.0001
Table 7 The predictive power of two associated parameters
Variable
AUC (95%CI)
Cut-off values
Specificity (%)
Sensitivity (%)
PPV
NPV
P value
TyG-WHtR0.876 (0.846-0.905)4.78768.85291.20976.61587.5< 0.0001
CVAI0.865 (0.834-0.896)101.978.68980.52476.880.48< 0.0001
Table 8 Numerical distribution of the three correlation parameters in steatotic liver disease with different degrees of fat deposition

Moderate to severe SLD (n = 148)
Mild SLD (n = 125)
Non-SLD (n = 224)
P value
U/χ2
CVAI, median (IQR)162.37 (113.10-205.13)139.36 (106.95-174.90)63.45 (33.44-98.05)< 0.0001221.283
TyG-WHtR, median (IQR)4.73 (4.31-5.27)4.64 (4.23-5.04)4.34 (3.79-4.95)< 0.0001205.628
Gender< 0.000147.393
    Male897069
    Female5955175


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