Table 1 Sample characteristics and univariate analysis
Variables | n (%) | M ± SD | t/F | |
|---|---|---|---|---|
Gender | Male | 57(15.36%) | 3.88 ± 0.77 | 1.757 |
Female | 314(84.64%) | 3.69 ± 0.78 | ||
Age | ≤ 30 | 109(29.38%) | 3.86 ± 0.71 | 2.582 |
31–35 | 117(31.54%) | 3.75 ± 0.82 | ||
36–40 | 88(23.72%) | 3.58 ± 0.81 | ||
≥ 41 | 57(15.36%) | 3.60 ± 0.76 | ||
Marital status | Married | 289(77.90%) | 3.68 ± 0.80 | −2.009* |
Other | 82(22.10%) | 3.86 ± 0.70 | ||
Educational background | Undergraduate and below | 241(64.96%) | 3.77 ± 0.81 | 1.813 |
Master’s degree or above | 130(35.04%) | 3.62 ± 0.72 | ||
Occupational type | Nurse | 164(44.20%) | 3.76 ± 0.84 | 3.210* |
Doctor | 108(29.11%) | 3.56 ± 0.76 | ||
Medical technicians | 56(15.09%) | 3.70 ± 0.70 | ||
Pharmaceutical personnel | 43(11.59%) | 3.96 ± 0.62 | ||
Monthly income | ≤ 10,000 RMB | 300(80.86%) | 3.70 ± 0.78 | −0.757 |
>10,000 RMB | 71(19.14%) | 3.78 ± 0.81 | ||
Professional title | Junior or Intermediate | 328(88.41%) | 3.71 ± 0.78 | −0.532 |
Senior | 43(11.59%) | 3.78 ± 0.84 | ||