Table 2 Relationship of high temperature (Tmax) on mortality in four cities in China (the statistically significant results are bolded)

All-cause

1.045

(1.021,1.070)

0.001

1.032

(1.009,1.056)

0.007

1.040

(1.014,1.067)

0.003

1.055

(1.015,1.097)

0.010

CVD

1.046

(1.011,1.083)

0.012

1.050

(1.011,1.091)

0.012

1.075

(1.018,1.134)

0.009

1.069

(1.002,1.141)

0.049

Respiratory

1.080

(1.004,1.161)

0.048

1.030

(0.955,1.110)

0.443

0.955

(0.837,1.089)

0.490

1.009

(0.914,1.115)

0.856

Digestive

1.117

(0.962,1.297)

0.158

1.106

(0.967,1.266)

0.149

1.088

(0.896,1.321)

0.396

1.236

(1.029,1.485)

0.034

Endocrine and metabolic

1.232

(1.075,1.411)

0.016

1.125

(1.011,1.253)

0.034

1.319

(1.006,1.730)

0.046

1.236

(1.012,1.509)

0.050

Diabetes

1.252

(1.090,1.439)

0.002

1.147

(1.028,1.279)

0.015

1.272

(0.695,2.328)

0.570

1.292

(1.039,1.606)

0.026

Male

1.031

(1.002,1.062)

0.044

1.052

(1.020,1.085)

0.002

1.044

(1.011,1.078)

0.009

1.053

(1.004,1.104)

0.041

Female

1.072

(1.033,1.112)

0.001

1.057

(1.020,1.091)

0.002

1.046

(1.002,1.092)

0.039

1.062

(1.012,1.114)

0.021

Age (years)

0-14

1.047

(0.890,1.231)

0.585

1.005

(0.845,1.196)

0.955

1.015

(0.866,1.191)

0.851

0.934

(0.676,1.291)

0.687

0-5

1.092

(0.959,1.243)

0.193

1.037

(0.904,1.190)

0.606

1.058

(1.017,1.100)

0.006

0.964

(0.467,1.988)

0.926

15-29

1.008

(0.841,1.207)

0.935

1.016

(0.918,1.125)

0.759

1.050

(0.978,1.127)

0.176

1.014

(0.732,1.406)

0.933

30-54

1.061

(1.004,1.121)

0.045

0.965

(0.916,1.016)

0.174

1.072

(1.015,1.131)

0.013

1.149

(1.045,1.263)

0.006

55-64

1.072

(1.024,1.122)

0.010

1.063

(1.013,1.116)

0.014

1.035

(0.949,1.129)

0.434

1.112

(1.003,1.233)

0.050

65-74

1.030

(1.002,1.060)

0.041

1.053

(1.013,1.095)

0.010

1.008

(0.930,1.093)

0.848

1.083

(1.004,1.168)

0.046

≥75

1.061

(1.022,1.101)

0.003

1.056

(1.020,1.071)

0.000

1.074

(1.003,1.149)

0.041

1.057

(1.009,1.107)

0.024