TABLE 4.
Multivariable analyses
| Any fibrosis1 | Advanced fibrosis2 | |||
|---|---|---|---|---|
| Parameter | AOR (95% CI) | P value | AOR (95% CI) | P value |
| HIV | 2.07 (1.25–3.44) | 0.005 | 1.79 (0.73–4.40) | 0.20 |
| HCV | 5.05 (3.07–8.32) | <0.0001 | 12.56 (4.83–32.64) | <0.0001 |
| Hyperglycemia | 1.86 (1.07–3.22) | 0.03 | — | |
| TyG index3 | 1.59 (1.09–2.32) | 0.02 | — | |
| Alcohol, drinks/week | 0.99 (0.92–1.06) | 0.69 | 1.00 (0.73–1.11) | 0.95 |
| Food insecurity | 1.65 (1.01–2.72) | 0.048 | 2.82 (1.22–6.54) | 0.02 |
Data are for any liver fibrosis (LS ≥ 2.9 kPa) and advanced liver fibrosis (LS ≥ 3.8 kPa) determined by MRE (n = 603). Abbreviations: AOR, adjusted odds ratio; HCV, hepatitis C virus; MetS, metabolic syndrome; MRE, magnetic resonance elastography; TyG, triglyceride and glucose.
The multivariable logistic regression model examined the relationship between food insecurity and any liver fibrosis, adjusting for age, sex, race/ethnicity, household size, HIV, HCV, hyperglycemia, and alcohol consumption.
The multivariable logistic regression model examined the relationship between food insecurity and advanced liver fibrosis, adjusting for age, sex, race/ethnicity, household size, HIV, HCV, and alcohol consumption.
Due to multicollinearity, a separate model was used to obtain estimates for TyG, adjusting for age, sex, race/ethnicity, household size, alcohol consumption, and food insecurity.