Table 3.
Associations between PAT and cardiometabolic disease
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| Diabetes | 1.64a | 1.12a | 1.10a | 1.28a |
| (1.57, 1.72) | (1.06, 1.18) | (1.04, 1.16) | (1.14, 1.44) | |
| 9.05 × 10−93 | 6.41 × 10−5 | 9.35 × 10−4 | 5.31 × 10−5 | |
| Hypertension | 1.35a | 1.01 | 1.00 | 1.14a |
| (1.32, 1.38) | (0.98, 1.04) | (0.97, 1.02) | (1.07, 1.21) | |
| 1.28 × 10−133 | 0.3882 | 0.7344 | 1.30 × 10−5 | |
| High cholesterol | 1.28a | 1.06a | 1.05a | 1.10a |
| (1.25, 1.31) | (1.03, 1.09) | (1.02, 1.08) | (1.04, 1.16) | |
| 8.42 × 10−90 | 7.27 × 10−5 | 6.58 × 10−4 | 0.0017 |
Results are the association of the PAT variable (model exposure) with each disease (set as model outcome) from logistic regression models expressed as odds ratio per SD increase in log PAT area (cm2), corresponding 95% confidence intervals (CIs), and P-values.
indicates a P-value significant with a false discovery rate of 0.05 across exposures. Model 1 covariates: age, sex, ethnicity, Townsend score, smoking, physical activity, and processed food intake. Model 2 covariates: Model 1 + body mass index and waist-to-hip ratio. Model 3 covariates: Model 2 + diabetes, hypertension, and high cholesterol (except for the condition which is the outcome). Model 4 covariates: Model 1 + diabetes, hypertension, high cholesterol (except for the condition which is the outcome) and the three obesity PCs (total, visceral, pericardial) derived from all available obesity measures (see Supplementary data online, Table 2B). Sample size for Models 1–3 is 42 598. For Model 4, sample size is 7664. PAT, pericardial adipose tissue.