Table 3.
The relationship between demographic characteristics and the use of the Seha app
| 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% |
**p < 0.01; *p < 0.05