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Table 2 The effects of extreme cold and hot temperatures on group-specific mortality from coronary heart disease over lags 0–15, using time series and case-crossover analyses with 5 degrees of freedom natural cubic spline for temperature

From: Ambient temperature and coronary heart disease mortality in Beijing, China: a time series study

Effects

group

Relative risk (95% CI)

  

Time series

Case-crossover

Cold effect a

All

1.16 (1.04, 1.30)*

1.29 (1.12, 1.48) *

 

Male

1.15 (0.95, 1.39)

1.24 (0.97, 1.59) *

 

Female

1.18 (1.03, 1.34) *

1.31 (1.11, 1.55) *

 

Age < 65

1.12 (0.99, 1.27)

1.21 (1.02, 1.42) *

 

Age > =65

1.29 (1.06, 1.58) *

1.49 (1.15, 1.93) *

Hot effect b

All

1.38 (1.20, 1.60) *

1.39 (1.15, 1.67) *

 

Male

1.37 (1.16, 1.62) *

1.37 (0.99, 1.88)

 

Female

1.42 (1.11, 1.81) *

1.40 (1.12, 1.75) *

 

Age < 65

1.35 (1.15, 1.59) *

1.36 (1.09, 1.68) *

 

Age > =65

1.47 (1.13, 1.91) *

1.48 (1.05, 2.08) *

  1. *P < 0.05.
  2. a 1st percentile of temperature (−7.6°C) relative to 10th percentile of temperature (−2.2°C).
  3. b 99th percentile of temperature (30.5°C) relative to 90th percentile of temperature (27.0°C).