Table 3.
Percent perceiving high health risk for selected hazards by demographic distribution.
| N | Risk issue | Percent | Gender | Geographic Distribution | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Male | Female | Chi-Square | Municip-alities | Capital cities | Counties & cities | Suburban & Rural | Chi-Square | |||
| 1 | GW | High risk | 18.5 | 17.6 | 7.11E3 (a) | 16.7 | 18.8 | 18.1 | 19.4 | 1.97E4 (a) |
| 2 | NC | High risk | 59.3 | 69.3 | 1.33E4 (a) | 61.8 | 59.6 | 63.0 | 66.5 | 6.98E4 (a) |
| 3 | NPP | High risk | 25.9 | 39.0 | 1.85E3 (a) | 26.4 | 31.8 | 30.1 | 31.4 | 3.38E4 (a) |
| 4 | TP | High risk | 14.2 | 13.6 | 5.31E3 (a) | 13.5 | 15.0 | 13.6 | 14.4 | 1.40E4 (a) |
| 5 | OH | High risk | 41.5 | 43.0 | 2.27E4 (a) | 37.3 | 41.9 | 41.8 | 47.5 | 8.14E4 (a) |
| 6 | AP | High risk | 44.1 | 46.6 | 1.32E4 (a) | 44.4 | 46.6 | 44.8 | 44.0 | 4.92E4 (a) |
| 7 | CP | High risk | 66.4 | 75.0 | 1.65E4 (a) | 65.7 | 70.4 | 68.9 | 72.3 | 7.52E4 (a) |
| 8 | PIF | High risk | 48.0 | 52.1 | 2.51E4 (a) | 44.8 | 50.3 | 50.2 | 51.3 | 8.87E4 (a) |
| 9 | GMF | High risk | 10.9 | 11.9 | 3.02E3 (a) | 10.9 | 12.6 | 11.2 | 9.40 | 1.29E4 (a) |
| 10 | CS | High risk | 69.2 | 62.6 | 2.94E4 (a) | 71.9 | 67.2 | 67.2 | 61.5 | 7.51E4 (a) |
| 11 | DA | High risk | 29.2 | 33.3 | 3.15E4 (a) | 31.5 | 33.0 | 30.9 | 26.3 | 9.64E4 (a) |
| 12 | MXR | High risk | 16.1 | 22.3 | 1.80E3 (a) | 16.7 | 19.5 | 19.2 | 14.6 | 2.51E4 (a) |
| 13 | MVA | High risk | 72.9 | 76.5 | 2.19E4 (a) | 70.1 | 76.5 | 74.6 | 75.4 | 8.31E4 (a) |
| 14 | MS | High risk | 35.7 | 41.2 | 8.39E3 (a) | 41.8 | 40.3 | 37.2 | 32.3 | 4.01E4 (a) |
| 15 | OSOW | High risk | 18.5 | 16.7 | 7.96E3 (a) | 20.0 | 18.4 | 17.2 | 17.6 | 1.66E4 (a) |
Perceived health risk to Chinese college students: Difference by gender and region. a = Chi-square significant (p < 0.001).