Table 5 Different cut-offs of climatic factors to stratify data
From: Climatic modification effects on the association between PM1 and lung cancer incidence in China
| Â | Air temperature | Â | Relative humidity | ||
|---|---|---|---|---|---|
Mean male incidence rate = 50.16 | Mean male incidence rate = 50.16 | ||||
β | 95% CI | β | 95% CI | ||
PM1 | 7.18% *** | (2.79%, 11.36%) | PM1 | 4.71% ** | (−0.05%, 9.48%) |
Longitude | 0.53 *** | (0.27, 0.78) | Longitude | 0.36 *** | (0.09, 0.64) |
Latitude | 0.49 ** | (0.05, 0.92) | Latitude | 1.57 *** | (0.77, 2.37) |
Year 2015 | 3.73 ** | (0.39, 7.06) | Year 2015 | 0.97 | (−2.88, 4.82) |
Relative humidity | 0.03 | (−0.19, 0.26) | Air temperature | 1.86 *** | (1.01, 2.71) |
Finance | 0.05 | (−0.02, 0.11) | Finance | 0.04 | (−0.02, 0.11) |
Education | −2.18 ** | (−4.37, 0.01) | Education | −2.16 ** | (−4.35, 0.02) |
Employment | −0.21 * | (−0.45, 0.03) | Employment | −0.26 ** | (−0.51, − 0.02) |
Construction | 0.03 | (−0.04, 0.09) | Construction | 0.01 | (−0.06, 0.08) |
Manufacturing | −0.04 *** | (−0.07, − 0.01) | Manufacturing | −0.04 *** | (−0.06, − 0.01) |
Population | 0.01 | (−0.04, 0.05) | Population | 0.00 | (−0.05, 0.05) |
Urban-rural | 2.34 | (−1.84, 6.52) | Urban-rural | 3.43 * | (−0.73, 7.60) |
PM1 × Temperature2 | 3.59% *** | (1.79%, 5.58%) | PM1 × Humidity2 | 1.50% * | (−0.32%, 3.33%) |
PM1 × Temperature3 | 6.98% *** | (4.39%, 9.57%) | PM1 × Humidity3 | 3.75% *** | (1.52%, 5.99%) |