Table 2.
Logistic regression analysis | |||||||
---|---|---|---|---|---|---|---|
Factor | Category | No. examined | No. positive (%) | χ2/df/P‐value | % (95% CI) | OR | P‐value |
Region | Liaoning province | 37 | 1 (2.70%) | – | Reference | 1 | – |
Jilin province | 68 | 15 (22.06%) | 6.951/1/0.008 | 1.288–80.584 | 10.189 | 0.008 | |
Heilongjiang provnce | 26 | 25 (96.15%) | 55.019/1/0.001 | 53.732–15074.771 | 900 | 0.001 | |
Season | Autumn | 41 | 4 (9.76%) | – | Reference | 1 | – |
Spring | 68 | 15 (22.06%) | 2.690/1/0.101 | 0.804–8.521 | 2.618 | 0.101 | |
Winter | 22 | 22 (100%) | 48.107/1/<0.001 | 4.040–26.003 | 10.250 | <0.001 | |
Age | Adult | 122 | 33 (27.05%) | – | Reference | 1 | – |
Young | 9 | 8 (88.89%) | 14.907/1/<0.001 | 2.598–179.192 | 21.576 | <0.001 | |
Sex | Male | 36 | 11 (30.56%) | – | Reference | 1 | – |
Female | 95 | 30 (31.58%) | 0.013/1/0.910 | 0.457–2.407 | 1.049 | 0.910 | |
Total | 131 | 41 (31.30%) |