Sociodemographic factors | Subsamples N1 | High stress (≥43 scores) | |||
---|---|---|---|---|---|
N2 | % (N2/N1) | Χ2 | P | ||
Employment status | 24.47 | <0.01 | |||
Unemployment | 184 | 104 | 56.52 | ||
Employment | 263 | 91 | 34.60 | ||
Retired | 41 | 12 | 29.27 | ||
Age (years) | 17.77 | <0.01 | |||
≤29 | 221 | 116 | 52.49 | ||
30-49 | 187 | 65 | 34.76 | ||
≥50 | 80 | 25 | 31.25 | ||
Gender | 8.51 | <0.01 | |||
Male | 192 | 97 | 50.52 | ||
Female | 296 | 110 | 37.16 | ||
Marital status | 9.13 | <0.01 | |||
Married | 244 | 87 | 35.65 | ||
Single | 244 | 120 | 49.18 | ||
Income per month (RMB) | 16.08 | <0.01 | |||
≤1999 | 157 | 86 | 54.78 | ||
2000-4999 | 84 | 33 | 39.29 | ||
5000-9999 | 103 | 41 | 39.81 | ||
≥10000 | 144 | 47 | 32.64 | ||
Education level | 1.07 | >0.05 | |||
High school or below | 83 | 31 | 37.35 | ||
Undergraduate | 211 | 91 | 43.13 | ||
Postgraduate | 194 | 85 | 43.81 | ||
Occupation | 8.56 | >0.05 | |||
Engineer or technique | 52 | 24 | 46.15 | ||
Business or IT | 98 | 43 | 43.88 | ||
Medicine or education | 209 | 99 | 47.37 | ||
Administer | 26 | 9 | 34.62 | ||
Agriculture or forestry | 103 | 32 | 31.07 | ||
Location of residence | 1.96 | >0.05 | |||
High risk area | 243 | 97 | 39.92 | ||
Medium risk area | 142 | 67 | 47.18 | ||
Low risk area | 103 | 43 | 41.75 | ||
Nucleic acid test | 0.001 | >0.05 | |||
Positive | 14 | 6 | 42.86 | ||
Negative | 474 | 201 | 42.41 | ||
COVID-19 knowledge | 2.39 | >0.05 | |||
No or little | 274 | 110 | 40.15 | ||
Some | 172 | 75 | 43.60 | ||
Very knowledgeable | 42 | 22 | 52.38 | ||
Vaccinated | 0.25 | >0.05 | |||
Yes | 459 | 196 | 42.70 | ||
Not yet | 29 | 11 | 37.93 | ||
Quarantine (days) | 7.19 | >0.05 | |||
≤9 | 20 | 12 | 0.60 | ||
10-19 | 49 | 27 | 55.10 | ||
20-29 | 201 | 77 | 38.31 | ||
≥30 | 218 | 91 | 41.70 |