Table 5.
Mean temperature associations on daily average step count, by city
| City | Beijing | Shanghai | Chongqing | Shenzhen | Hong Kong |
|---|---|---|---|---|---|
| Optimal temperature | 19.3 | 17.9 | 16.1 | 24.2 | 20 a |
| Change in steps at OptT - 10 °C (95% CI) |
− 342.8 * (− 452.2, − 233.4) |
− 251.6 * (− 423.0, − 80.1) |
− 19.1 (− 293.1, 254.9) |
− 351.7* (− 614.8, − 88.6) |
−3.0 (− 331.8, 325.8) |
| Change in steps at OptT + 10 °C (95% CI) |
−386.0 * (− 626.6, − 145.5) |
−432.7 * (− 636.2, − 229.1) |
−321.7 * (− 526.6, − 116.8) |
−204.8 b (− 514.5, 104.8) |
−105.4 (− 268.5, 57.6) |
| N | 366 | 366 | 366 | 361 | 391 |
| Adjusted R squared | 0.88 | 0.86 | 0.86 | 0.80 | 0.73 |
| AIC | 4828.1 | 4856.0 | 4931.6 | 4795.1 | 5365.2 |
BJ Beijing, SH Shanghai, CQ Chongqing, SZ Shenzhen, HK Hong Kong, OptT optimal temperature, CI confidence interval, 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)
aWhere association was not curvilinear, the optimal temperature was pre-set to 20 °C
bA change from 30.8 °C was used for Shenzhen, since this was the upper limit of temperature data in the city
* p ≤ 0.05 indicates significant difference