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Table 1 Summary statistics of daily cause-specific mortality, air pollutants, and weather conditions in Chengdu, 2016–2020 (1827 days)

From: Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis

Variables

Mean

SD

Min

1st

20%

50%

90%

99%

Max

Total (non-accidental)

187.9

39.3

106.0

124.0

156.0

180.0

246.0

303.0

340.0

CVD

63.9

16.1

30.0

35.0

50.0

62.0

86.0

108.0

119.0

Respiratory

54.1

19.0

20.0

27.0

39.0

49.0

79.0

119.0

136.0

Cerebrovascular

28.8

7.8

10.0

14.0

22.0

28.0

40.0

48.0

65.0

IHD

15.0

5.3

3.0

5.0

10.0

14.0

22.0

30.0

39.0

Air pollutants

  PM2.5 (µg/m3)

49.5

34.7

3.0

8.1

22.4

39.6

95.0

170.1

259.8

  PM10 (µg/m3)

78.5

49.9

5.5

15.3

38.7

66.6

143.1

247.0

358.1

  SO2 (µg/m3)

10.0

4.8

3.4

4.0

5.8

8.6

16.6

24.8

29.8

  NO2 (µg/m3)

38.0

13.4

7.0

13.8

26.3

36.2

56.5

73.4

91.1

  O3 (µg/m3)

95.1

49.4

10.3

17.8

51.7

84.4

166.3

219.4

278.0

Meteorological variables

  Mean temperature (°C)

16.8

7.4

-1.6

3.0

8.6

17.1

26.3

29.0

27.0

  Minimum temperature (°C)

13.5

7.2

-6.2

-1.4

6.1

14.3

23.0

24.7

37.2

  Maximum temperature (°C)

79.9

8.2

3.3

6.1

12.8

21.7

32.0

35.6

99.0

  Relative humidity (%)

 

9.8

36.0

52.0

72.0

81.0

92.0

97.0

 
  1. *Min minimum, Max maximum, SD standard deviation