Table 6.
Stratification results of the temperature-physical activity associations in five Chinese cities
| City | Stratification | OptTa | OptT – 10 °C | Change in steps | 95% CI | Sig. | OptT + 10 °C |
Change in steps | 95% CI | Sig. |
|---|---|---|---|---|---|---|---|---|---|---|
| BJ | Male | 20.0 | 10.0 | − 344.9 | − 453.2, − 236.6 | * | 29.9 | − 353.4 | −614.0, − 92.7 | * |
| Female | 18.7 | 8.7 | − 339.2 | − 456.4, − 222.0 | * | 28.7 | −405.4 | −641.1, − 169.6 | * | |
| 18-64 | 19.3 | 9.3 | − 344.1 | −453.0, − 235.2 | * | 29.3 | − 383.8 | − 624.1, − 143.5 | * | |
| 65+ | 16.5 | 6.5 | − 314.9 | − 517.0, − 112.8 | * | 26.5 | − 466.4 | − 762.7, − 170.1 | * | |
| SH | Male | 18.6 | 8.6 | − 249.6 | − 422.6, −76.5 | * | 28.6 | − 427.4 | − 656.2, − 198.7 | * |
| Female | 17.3 | 7.3 | − 250.6 | −427.5, −73.7 | * | 27.3 | − 418.7 | − 609.1, − 228.4 | * | |
| 18-64 | 18.0 | 8.0 | −251.9 | −422.1, −81.8 | * | 28.0 | −430.1 | −635.1, − 225.1 | * | |
| 65+ | 13.5 | 3.5 | − 318.6 | − 657.2, 20.1 | 23.5 | − 501.3 | −708.4, − 294.2 | * | ||
| CQ | Male | 18.0 | 8.0 | 16.1 | −200.4, 232.6 | 28.0 | − 336.2 | − 551.6, −120.9 | * | |
| Female | 15.6 | 5.6 | −76.6 | −383.3, 230.1 | 25.6 | − 376.7 | − 589.0, − 164.5 | * | ||
| 18-64 | 16.2 | 6.2 | −20.4 | − 289.2, 248.4 | 26.2 | − 327.2 | − 533.0, − 121.4 | * | ||
| 65+ | 20a | 10.0 | −2.4 | − 292.9, 288.2 | 30.0 | − 1541.8 | − 1927.0, − 1156.7 | * | ||
| SZ | Male | 24.3 | 14.3 | − 291.8 | − 536.9, −46.6 | * | 30.8b | − 185.8 | − 486.0, 114.5 | |
| Female | 23.5 | 13.5 | −338.1 | −629.9, −46.4 | * | 30.8b | − 242.2 | − 571.0, 86.5 | ||
| 18-64 | 24.2 | 14.2 | − 350.8 | − 613.5, −88.0 | * | 30.8b | − 203.5 | − 513.1, 106.0 | ||
| 65+ | 22.5 | 12.5 | − 487.5 | − 903.1, −71.9 | * | 30.8b | − 462.4 | − 901.8, −23.0 | * | |
| HK | Male | 20a | 10.0 | −4.5 | − 312.7, 303.7 | 30.0 | − 128.9 | − 281.8, 24.1 | ||
| Female | 20a | 10.0 | −3.4 | − 358.4, 351.6 | 30.0 | −96.7 | − 272.9, 79.5 | |||
| 18-64 | 20a | 10.0 | −3.6 | − 333.1, 325.8 | 30.0 | −104.0 | − 267.5, 59.5 | |||
| 65+ | 17.1 | 9.0 b | −41.6 | − 348.9, 265.7 | 27.1 | − 193.2 | − 290.1, −96.4 | * |
BJ Beijing, SH Shanghai, CQ Chongqing, SZ Shenzhen, HK Hong Kong, OptT optimal temperature, CI confidence interval. 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
bThe upper or lower limit of temperature was reached for that city’s dataset. The upper limit of temperature in the Shenzhen dataset was at 30.8 °C. The lower limit of temperature in Hong Kong was at 9.0 °C
* p ≤ 0.05 indicates significant difference