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. 2023 Dec 13;5:1307930. doi: 10.3389/fspor.2023.1307930

Table 3.

Logistic regression for the association of screen time in 2006 and the risk of stroke in 2009 (n = 2,100).

Screen time
<2 h/day
(n = 824)
2–3 h/day
(n = 967)
>3 h/day
(n = 309)
Middle risk n = 112 n = 134 n = 30
 Model A 1.000 1.14 (0.86–1.51) 0.81 (0.52–1.27)
 Model B 1.000 1.32 (0.98–1.77) 0.98 (0.61–1.56)
 Model C 1.000 1.32 (0.98–1.77) 0.98 (0.61–1.56)
 Model D 1.000 1.33 (0.99–1.78) 1.02 (0.64–1.63)
High risk n = 304 n = 404 n = 144
 Model A 1.000 1.26 (1.03–1.55) 1.43 (1.08–1.89)
 Model B 1.000 1.26 (1.01–1.57) 1.38 (1.02–1.88)
 Model C 1.000 1.26 (1.01–1.57) 1.38 (1.02–1.88)
 Model D 1.000 1.26 (1.01–1.57) 1.35 (0.995–1.84)

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.