From: Health impacts of a cold wave and its economic loss assessment in China’s high-altitude city, Xining
Subgoups | lag0 | lag0-7 | lag0-14 | lag0-21 |
---|---|---|---|---|
Sex | ||||
Male | 1.195(1.168,1.222) | 2.102(1.878,2.353) | 1.802(1.511,2.150) | 1.904(1.514,2.395) |
Female | 1.005(0.982,1.028) | 1.063(0.948,1.192) | 1.106(0.929,1.317) | 1.011(0.808,1.265) |
Age(years) | ||||
≥ 65 | 1.160(1.137,1.185) | 1.905(1.716,2.116) | 1.727(1.465,2.035) | 1.757(1.420,2.173) |
0–64 | 1.008(0.980,1.035) | 1.020(0.891,1.167) | 0.981(0.799,1.204) | 0.931(0.715,1.211) |
Education level | ||||
Low | 1.136(1.115,1.157) | 1.727(1.572,1.897) | 1.566(1.353,1.813) | 1.564(1.295,1.889) |
High | 1.022(0.984,1.061) | 1.097(0.909,1.324) | 1.078(0.809,1.437) | 1.079(0.741,1.571) |