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Table 7 Sensitivity analyses of the temperature-physical activity associations in five Chinese cities

From: The effect of temperature on physical activity: an aggregated timeseries analysis of smartphone users in five major Chinese cities

City

Model

OptTa

OptT

- 10  °C

Change in steps

95% CI

Sig.

OptT

+ 10  °C

Change in steps

95% CI

Sig.

df

AIC

BJ

Original (Mean Temp)

19.3

9.3

−342.8

−452.2, −233.4

*

29.3

−386.0

−626.6, −145.5

*

33.8

4828.1

Apparent Temperature

22.1

12.1

−250.2

−362.7, −137.7

*

32.1

−344.7

− 610.3, − 79.2

*

33.3

4836.1

Percentile Temp

68th

10th

− 767.1

− 965.4, − 568.7

*

90th

−353.8

− 581.8, − 125.7

*

34.8

4814.3

Without pollution index

18.8

8.8

− 310.5

− 419.7, −201.3

*

28.7

− 377.0

−613.1, −140.9

*

31.9

5161.6

SH

Original (Mean Temp)

17.9

7.9

−251.6

−423.0, −80.1

*

27.9

−432.7

−636.2, − 229.1

*

38.6

4851.0

Apparent Temperature

18.6

8.6

−145.2

− 297.8, 7.4

 

28.6

− 187.3

−362.5, −12.1

*

36.6

4878.3

Percentile Temp

54th

10th

− 356.9

−571.7, − 142.0

*

90th

−514.0

− 744.1, − 283.9

*

37.5

4845.4

Without pollution index

17.9

7.9

− 237.9

− 408.2, −67.5

*

27.9

−402.2

− 597.9, − 206.5

*

35.0

5193.6

CQ

Original (Mean Temp)

16.1

6.1

−19.1

−293.1, 254.9

 

26.0

−321.7

−526.6, −116.8

*

38.2

4931.6

Apparent Temperature

15.3

5.3

1.8

− 253.6, 257.1

 

25.3

− 138.3

− 319.8, 43.2

 

35.8

4984.7

Percentile Temp

48th

10th

−51.3

− 284.2, 181.5

 

90th

− 812.0

− 1080.0, − 544.0

*

38.3

4949.1

Without pollution index

19.3

9.3

− 126.1

− 398.6, 146.4

 

29.3

−501.0

− 808.0, − 194.0

*

36.4

5273.9

SZ

Original (Mean Temp)

24.2

14.2

−351.7

−614.8, −88.6

*

30.8

−204.8

−514.5, 104.8

 

38.9

4795.1

Apparent Temperature

27.0

17.0

−96.0

− 274.8, 82.9

 

37.0

−126.5

−367.8, 114.7

 

36.2

4832.2

Percentile Temp

58th

10th

− 279.7

− 509.9, −49.5

*

90th

− 171.8

− 390.3, 46.7

 

38.0

4794.8

Without Pollution index

23.8

13.8

−310.1

−577.8, −42.5

*

30.8

− 213.4

−511.8, 85.2

 

36.1

5137.4

Without Typhoon

24.2

14.2

− 352.6

−613.6, −91.6

*

30.8

−204.6

−513.2, 104.0

 

37.9

4781.1

HK

Original (Mean Temp)

20a

10.0

−3.0

−331.8, 325.8

 

30.0

−105.4

−268.5, 57.6

 

30.6

5365.2

Apparent Temperature

20a

10.0

−9.5

−273.0, 254.1

 

30.0

−83.7

−150.4, −17.1

*

30.7

5365.0

Percentile Temp

50tha

10th

−10.4

−221.3, 200.6

 

90th

−173.1

− 382.9, 36.8

 

30.7

5363.3

Without Pollution index

21.9

11.9

−128.8

− 523.0, 265.3

 

31.2

−348.0

−697.8, 1.8

 

34.7

5373.7

Without Typhoon

20a

10.0

−3.7

− 328.9, 321.6

 

30.0

−104.2

− 261.1, 52.7

 

29.9

5350.4

  1. BJ Beijing, SH Shanghai, CQ Chongqing, SZ Shenzhen, HK Hong Kong, OptT optimal temperature, CI confidence interval, df degrees of freedom, AIC Akaike information criterion. The model for each city was adjusted for relative humidity#, precipitation, windspeed, pressure#, sunshine, AQI/AQHI, month, day of week, public holiday, extra workdays, typhoon, super typhoon, and marathon (#some cities had these variables removed in the stepdown process). Percentile temperatures were set to 10th and 90th percentiles for analysis
  2. aWhere association was not curvilinear, the optimal temperature was pre-set to 20 °C or 50th percentile
  3. *p ≤ 0.05 indicates significant difference