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Table 3 Hot and cold effect by sex, age, educational attainment and occupation class

From: Daily temperature and mortality: a study of distributed lag non-linear effect and effect modification in Guangzhou

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)

  1. * 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.