## 多个回归方程-CUNBAE123-插补前

Exposure | Non-adjusted | Adjust I | Adjust II
CUNBAE Z-score | 1.51 (1.45, 1.57) <0.0001 | 1.42 (1.36, 1.49) <0.0001 | 1.42 (1.35, 1.48) <0.0001
CUNBAE Z-score tertile |  |  |
Low | 1.0 | 1.0 | 1.0
Middle | 1.94 (1.73, 2.17) <0.0001 | 2.04 (1.80, 2.32) <0.0001 | 2.07 (1.82, 2.35) <0.0001
High | 2.30 (2.06, 2.57) <0.0001 | 2.17 (1.91, 2.46) <0.0001 | 2.18 (1.93, 2.47) <0.0001

表中数据：HR (95% CI) Pvalue *P<0.05 **P<0.01 ***P<0.001 结果变量: NAFLD 暴露变量: CUNBAE Z-score; CUNBAE Z-score tertile Non-adjusted model adjust for: None Adjust I model adjust for: ALT; AST; TP; ALB; GLB Adjust II model adjust for: ALT; AST; TP; GLB; BUN; CR; UA; ALB Cox model 时间变量: MONTH 各模型所用的样本量

Outcome | Exposure | Non-adjusted | Adjust I | Adjust II
NAFLD | CUNBAE Z-score | 16173 | 10749 | 10748
NAFLD | CUNBAE Z-score tertile | 16173 | 10749 | 10748

此表用易侕统计软件 (www.empowerstats.com) 和R软件生成，生成日期： 2025-09-18