Table 2.
Logistic regression for the association of screen time and the risk of stroke in 2009 (n = 4,587).
| Screen time | |||
|---|---|---|---|
| <2 h/day (n = 1,583) |
2–3 h/day (n = 2,025) |
>3 h/day (n = 979) |
|
| Middle risk | n = 500 | n = 632 | n = 285 |
| Model A | 1.00 | 1.09 (0.93–1.28) | 1.14 (0.93–1.40) |
| Model B | 1.00 | 1.09 (0.92–1.28) | 1.15 (0.93–1.43) |
| Model C | 1.00 | 1.09 (0.92–1.28) | 1.15 (0.93–1.42) |
| Model D | 1.00 | 1.08 (0.92–1.28) | 1.11 (0.89–1.37) |
| High risk | n = 509 | n = 728 | n = 408 |
| Model A | 1.00 | 1.24 (1.05–1.45) | 1.61 (1.33–1.95) |
| Model B | 1.00 | 1.21 (1,02–1.44) | 1.55 (1.25–1.93) |
| Model C | 1.00 | 1.21 (1.02–1.44) | 1.55 (1.24–1.92) |
| Model D | 1.00 | 1.20 (1.01–1.43) | 1.41 (1.13–1.76) |
Model A was not adjusted for any variable. Model B was adjusted for age, zone of residence, education level, and occupation. Model C was the same as model B and additionally adjusted for drinking. Model D was the same as model C and additionally adjusted for total energy intake.