Table 3.
Hot and cold effect by sex, age, educational attainment and occupation class
| Variable |
Hot effect* |
Cold effect* |
|---|---|---|
| (95%CI) | (95%CI) | |
| Sex | ||
| Male |
8.05(1.82 to 14.28) |
31.21(20.19 to 42.23) |
| Female |
24.92(16.61 to 33.23) |
16.53(4.79 to 28.27) |
| Age (years) | ||
| 0-64 |
2.04(−6.02 to 10.11) |
8.49(−5.78 to 22.75) |
| 65-74 |
10.40(0.68 to 20.12) |
26.52(12.70 to 40.33) |
| 75-84 |
13.75(4.83 to 22.67) |
23.61(8.27 to 38.95) |
| 85+ |
17.33(6.05 to 29.82) |
28.62(10.71 to 46.53) |
| Educational attainment | ||
| No education |
25.03(11.81 to 38.25) |
30.16(8.65 to 51.67) |
| Primary school |
16.94(9.51 to 24.87) |
15.91(2.11 to 29.71) |
| High school or above |
5.40(−2.44 to 13.24) |
13.80(5.55 to 22.21) |
| Occupation class | ||
| White-Collar |
11.59(−1.56 to 24.74) |
16.27(−6.02 to 38.57) |
| Blue-Collar |
18.34(6.65 to 31.31) |
35.65(21.81 to 49.48) |
| Unemployed | 17.25(9.31 to 25.78) | 8.37(−9.61 to 26.32) |
* The effects were presented by percentage increase (%) in mortality risk comparing the 99th to the 90th percentile (hot effect) and the first to the 10th percentile (cold effect) of temperatures.