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. 2022 Jul 14;10:935405. doi: 10.3389/fpubh.2022.935405

Table 2.

Factors associated with computer visual syndrome.

Variables CVS p*
No (n = 40) Yes (n = 188)
n (%) n (%)
Age (years)*** 22.5 ± 2.1 22.3 ± 2.8 0.635**
Sex 0.317
Female 26 (16.0) 137 (84.1)
Male 14 (21.5) 51 (78.5)
Previous ocular disease <0.001
No 25 (28.7) 62 (71.3)
Yes 15 (10.6) 126 (89.4)
Use of lenses <0.001
No 26 (30.2) 60 (69.8)
With frame 12 (8.9) 123 (91.1)
Contact lenses 2 (28.6) 5 (71.4)
Use of preventive visual measures 0.011
No 13 (31.0) 29 (69.1)
Yes 27 (14.5) 159 (85.5)
Hour in the day spent using a notebook 0.090
≤ 4 h 16 (24.2) 50 (75.8)
≥ 4 h 24 (14.8) 138 (85.2)
Hour in the day spent using a smartphone 0.830
≤ 4 h 4 (16.0) 21 (84.0)
≥ 4 h 36 (17.7) 167 (82.3)
Hour in the day spent using a tablet 0.015
≤ 4 h 27 (14.6) 158 (85.4)
≥ 4 h 13 (30.2) 30 (69.8)
Hour in the day spent using a PC/Laptop 0.517
≤ 4 h 31 (16.8) 154 (83.2)
≥ 4 h 9 (20.9) 34 (79.1)
Breaks taken of technology use 0.002
Don‘t take breaks 4 (11.1) 32 (88.9)
At least every 20 min 15 (26.3) 42 (73.7)
Every 1 h 10 (20.4) 39 (79.6)
Every 2 h 9 (32.1) 19 (67.9)
After more than 2 h 2 (3.5) 56 (96.6)

*p-value of categorical variables calculated with the Chi Square test.

**p-value of categorical–numerical variables calculated with the Student's t-test.

***Mean ± standard deviation.

Significant p-values (p < 0.05) are highlighted in bold.