Table 4.
Quartiles of TAC | |||||
---|---|---|---|---|---|
Variable | 1st quartile | 2nd quartile | 3rd quartile | 4th quartile | P-trend$ |
Serum TAC¥ (μmol/L) | 2939.00 | 2453.00 | 4102.00 | 4916.50 | |
No. cases/ controls | 40/ 32 | 36/ 60 | 40/ 40 | 36/ 64 | |
Model 1 | 1 | 0.4 (0.13–1.66) | 0.80 (0.22–2.87) | 0.51 (0.14–1.79) | 0.98 |
Model 2 | 1 | 0.49 (0.14–1.76) | 0.80 (0.22–2.93) | 0.50 (0.14–1.79) | 1.00 |
Quartiles of MDA | |||||
Variable | 1st quartile | 2nd quartile | 3rd quartile | 4th quartile | P-trend$ |
Serum MDA¥ (μmol/L) | 1.44 | 1.91 | 2.06 | 2.29 | |
No. cases/ controls | 68/ 60 | 28/ 72 | 32/ 32 | 24/ 24 | |
Model 1 | 1 | 0.34 (0.11–1.04) | 0.88 (0.26–2.93) | 0.88 (0.23–3.32) | 0.30 |
Model 2 | 1 | 0.32 (0.10–1.01) | 0.92 (0.27–3.12) | 1.03 (0.26–4.06) | 0.27 |
¥ These value is presented as median
$ P-trend was calculated using logistic regression model by considering the median of each quartile of TAC or MDA as a continuous variable
1 Regression model without adjustment
2 Regression model adjusted for age, gender, and body mass index (BMI)