TABLE 1.
One-way ANOVA for the effect of each demographic variable on sleep quality.
| Variables | N (%) | PSQI |
|||
| Mean | SD | F | p | ||
| Gender | 98 | 6.449 | 3.398 | 0.149 | 0.701 |
| Male | 16 (16.3) | 6.750 | 2.696 | ||
| Female | 82 (83.7) | 6.390 | 3.530 | ||
| Age | 98 | 6.449 | 3.398 | 1.620 | 0.162 |
| ≤25 | 23 (23.5) | 6.174 | 2.871 | ||
| 26–30 | 29 (29.6) | 5.483 | 3.511 | ||
| 31–35 | 10 (10.2) | 7.700 | 1.703 | ||
| 36–40 | 16 (16.3) | 8.125 | 3.384 | ||
| 41–45 | 9 (9.2) | 6.222 | 4.466 | ||
| ≥46 | 11 (11.2) | 6.182 | 3.816 | ||
| Working years | 98 | 6.449 | 3.398 | 2.572* | 0.043 |
| ≤5 | 38 (38.8) | 6.263 | 3.020 | ||
| 6–10 | 24 (24.5) | 5.708 | 3.303 | ||
| 11–15 | 11 (11.2) | 7.727 | 3.197 | ||
| 16–20 | 13 (13.3) | 8.538 | 3.777 | ||
| ≥21 | 12 (12.2) | 5.083 | 3.655 | ||
| Marital status | 98 | 6.449 | 3.398 | 1.505 | 0.227 |
| Single | 43 (43.9) | 6.186 | 3.034 | ||
| Married | 54 (55.1) | 6.556 | 3.632 | ||
| Divorced | 1 (1.0) | 12.000 | |||
| Number of children | 98 | 6.449 | 3.398 | 1.878 | 0.158 |
| None | 46 (46.9) | 6.065 | 2.992 | ||
| 1 | 43 (43.9) | 6.442 | 3.788 | ||
| ≥2 | 9 (9.2) | 8.444 | 3.005 | ||
| Living situation | 98 | 6.449 | 3.398 | 0.247 | 0.782 |
| With family number | 59 (60.2) | 6.593 | 3.620 | ||
| Co-living | 31 (31.6) | 6.097 | 3.239 | ||
| Alone | 8 (8.2) | 6.750 | 2.375 | ||
| Job category | 95 | 6.337 | 3.331 | 0.699 | 0.500 |
| Nurse | 72 (75.8) | 6.500 | 3.608 | ||
| Doctor | 20 (21.1) | 6.050 | 2.188 | ||
| Hospital assistant | 3 (3.2) | 4.333 | 2.517 | ||
| Educational status | 95 | 6.337 | 3.331 | 0.239 | 0.788 |
| Associate degree or below | 25 (26.3) | 5.960 | 3.234 | ||
| Bachelor degree | 49 (51.6) | 6.531 | 3.731 | ||
| Master degree or above | 21 (22.1) | 6.333 | 2.436 | ||
PSQI, Pittsburgh Sleep Quality Index. *p < 0.05.
The bold values means there are significant differences.