Table 2.
Association between telomere length and NAFLD incidence
| Variables | Cases | N | HR (95% CI) | ||
|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |||
| NAFLD (K75.8, K76.0) | |||||
| Continuous, per IQR increase | 4809 | 467,848 | 0.88 (0.84, 0.91) | 0.92 (0.89, 0.96) | 0.93 (0.89,0.96) |
| Q1 | 1356 | 116,961 | Ref | Ref | Ref |
| Q2 | 1252 | 116,963 | 0.91 (0.84, 0.99) | 0.95 (0.88, 1.02) | 0.95 (0.88,1.03) |
| Q3 | 1128 | 116,963 | 0.82 (0.76, 0.89) | 0.88 (0.81, 0.96) | 0.89 (0.82,0.96) |
| Q4 | 1073 | 116,961 | 0.77 (0.72, 0.84) | 0.87 (0.80, 0.94) | 0.87 (0.81,0.95) |
| P for trend | < .0001 | 0.0001 | 0.0003 | ||
| NAFLD (K76.0) | |||||
| Continuous, per IQR increase | 4570 | 467,848 | 0.87 (0.84,0.91) | 0.92 (0.88,0.95) | 0.92 (0.89,0.96) |
| Q1 | 1287 | 116,961 | Ref | Ref | Ref |
| Q2 | 1190 | 116,963 | 0.91 (0.84,0.99) | 0.95 (0.87,1.02) | 0.95 (0.88,1.03) |
| Q3 | 1076 | 116,963 | 0.82 (0.76,0.89) | 0.88 (0.81,0.96) | 0.88 (0.81,0.96) |
| Q4 | 1017 | 116,961 | 0.77 (0.71,0.84) | 0.86 (0.79,0.93) | 0.86 (0.80,0.94) |
| P for trend | < .0001 | < .0001 | 0.0002 | ||
| NASH (K75.8) | |||||
| Continuous, per IQR increase | 465 | 467,848 | 0.83 (0.74,0.94) | 0.94 (0.83,1.06) | 0.94 (0.84,1.06) |
| Q1 | 135 | 116,961 | Ref | Ref | Ref |
| Q2 | 133 | 116,963 | 0.97 (0.77,1.24) | 1.06 (0.83,1.35) | 1.06 (0.84,1.35) |
| Q3 | 102 | 116,963 | 0.74 (0.58,0.96) | 0.87 (0.67,1.13) | 0.88 (0.68,1.14) |
| Q4 | 95 | 116,961 | 0.69 (0.53,0.90) | 0.88 (0.67,1.15) | 0.88 (0.68,1.16) |
| P for trend | 0.001 | 0.17 | 0.20 | ||
P value for trend calculated treating the telomere length concentrations (quartile) as a continuous variable
Model 1: Unadjusted
Model 2: Adjusted for age, gender, ethnicity, Townsend deprivation index, BMI, cholesterol, hypertension, and diabetes
Model 3: Model 2 + lifestyle and air pollution score
Abbreviations: NAFLD Non-alcoholic fatty liver disease, NASH Non-alcoholic steatohepatitis, HR Hazards ratio, CI Confidence interval, IQR Interquartile range, Ref. Reference