Table 2 ∣.

Percent change in mortality risk for 1°C increase in daily mean temperature.

City	Age group	(Unit: %)
		All-cause mortality	Cardiovascular mortality	Respiratory mortality
Seoul	All ages	2.62 (1.20, 4.05)	1.17 (−1.41, 3.82)	0.51 (−5.28, 6.65)
	Age ≥65 years	3.30 (1.47, 5.17)	0.08 (−2.74, 2.99)	2.55 (−3.85, 9.38)
Incheon	All ages	2.80 (−0.02, 5.70)	8.57 (2.45, 15.06)	5.70 (−5.30, 17.97)
	Age ≥65 years	2.96 (−0.74, 6.80)	12.48 (4.55, 21.01)	0.96 (−10.77, 14.22)
Daejeon	All ages	0.14 (−4.81, 5.35)	10.66 (0.43, 21.92)	3.41 (−16.68, 28.33)
	Age ≥65 years	1.36 (−5.22, 8.39)	11.31 (−1.28, 25.51)	5.75 (−15.72, 32.69)
Daegu	All ages	3.48 (0.37, 6.67)	5.18 (−0.88, 11.60)	0.32 (−12.11, 14.50)
	Age ≥65 years	5.76 (1.62, 10.06)	4.33 (−2.14, 11.23)	−3.73 (−16.55, 11.06)
Gwangju	All ages	2.50 (−1.96, 716)	−2.08 (−11.47, 8.31)	−5.87 (−24.4, 17.20)
	Age ≥65 years	5.72 (−0.23, 12.01)	−1.37 (−12.63, 11.34)	−2.25 (−22.45, 23.20)
Busan	All ages	3.02 (0.54, 5.55)	3.10 (−1.82, 8.26)	6.68 (−4.20, 18.80)
	Age ≥65 years	2.68 (−0.31, 5.76)	4.97 (−0.63, 10.90)	7.52 (−4.31, 20.82)
Overall	All ages	2.70 (1.67, 3.73)	3.81 (0.82, 6.89)	2.06 (−2.19, 6.50)
	Age ≥65 years	3.44 (2.13, 4.76)	4.56 (0.40, 8.89)	2.35 (−2.28, 7.19)

We estimated the high temperature effects on mortality using generalized linear model with natural cubic splines based on same day temperature.