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Table 3 The relationship between demographic characteristics and the use of the Seha app

From: Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia

Factor User Non-user Total X2/p
Gender     
Male 124 83 207 22.19**/< 0.000
59.90% 40.10% 100%
Female 125 196 321
38.90% 61.10% 100%
Age     
18–29 61 61 122 8.79*/0.011
50.00% 50.00% 100%
30–49 163 164 327
49.80% 50.20% 100%
 > 50 25 54 79
31.60% 68.40% 100%
Marital status     
Single 61 89 150 3.54/0.06
40.70% 59.30% 100%
Married 188 190 378
49.70% 50.30% 100%
Region     
Central 173 161 334 19.74**/0.001
51.80% 48.20% 100%
Eastern 9 19 28
32.10% 67.90% 100.00%
Western 26 65 91
28.60% 71.40% 100%
Southern 8 7 15
53.30% 46.70% 100%
Northern 33 27 60
55.00% 45.00% 100%
Education     
Secondary school 36 44 80 3.45/0.49
45.00% 55.00% 100%
Diploma 21 30 51
41.20% 58.80% 100%
Bachelor’s 114 132 246
46.30% 53.70% 100%
Master’s 52 42 94
55.30% 44.70% 100%
PhD 8 9 17
47.10% 52.90% 100%
Income     
 < 5000 SAR 69 88 157 3.92/0.27
43.90% 56.10% 100%
5001–10,000 SAR 62 82 144
43.10% 56.90% 100%
10,001–30,000 SAR 110 100 210
52.40% 47.60% 100%
 > 30,000 SAR 8 9 17
47.10% 52.90% 100%
Occupation     
Public employees 145 118 263 22.05**/< 0.000
55.10% 44.90% 100%
Private employees 21 60 81
25.90% 74.10% 100%
Unemployed 67 85 152
44.10% 55.90% 100%
Students 16 16 32
50.00% 50.00% 100%
  1. **p < 0.01; *p < 0.05