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Table 2 Relative risks of non-accidental mortality due to cold spells stratified by sex, age, and educational level.(“Low” represents junior high school and below, and “High” represents high school and higher)

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)