The relationship between air quality and respiratory pathogens among children in Suzhou City

Zhang, Dandan; Li, Yuqin; Chen, Qiu; Jiang, Yanqun; Chu, Chu; Ding, Ying; Yu, Yixue; Fan, Yujie; Shi, Jinjin; Luo, Yali; Zhou, Weifang

doi:10.1186/s13052-019-0702-2

Italian Journal of Pediatrics

Table 7 Hysteresis effect of air quality on bacteria in respiratory tract infection in children in age group

From: The relationship between air quality and respiratory pathogens among children in Suzhou City

Age	Pollutants	Lag 0		Lag 1		Lag 2		Lag 3		Lag 4
Age	Pollutants	OR	95%CI	OR	95%CI	OR	95%CI	OR	95%CI	OR	95%CI
Age1	PM2.5	1.004	1.002–1.007	1.010	1.006–1.014	1.012	1.007–1.016	1.013	1.009–1.018	1.014	1.010–1.019
	PM10	1.004	1.002–1.006	1.010	1.006–1.013	1.011	1.007–1.016	1.015	1.010–1.019	1.016	1.011–1.020
	NO₂	1.004	1.004–1.014	1.008	1.002–1.015	1.007	1.000–1.014	1.008	1.002–1.017	1.009	1.001–1.017
	SO₂	1.028	1.018–1.038	1.050	1.037–1.063	1.049	1.035–1.063	1.050	1.035–1.065	1.051	1.036–1.065
	CO	1.110	0.815–1.510	1.130	0.697–1.833	0.988	0.575–1.698	1.278	0.633–2.009	0.937	0.514–1.708
	O₃	0.995	0.992–0.999	0.994	0.990–0.998	0.995	0.991–1.000	0.995	0.991–1.000	0.996	0.991–1.000
Age2	PM2.5	0.999	0.995–1.003	1.007	1.001–1.013	1.008	1.002–1.015	1.008	1.002–1.015	1.009	1.002–1.015
	PM10	0.999	0.996–1.002	1.006	1.001–1.011	1.009	1.003–1.015	1.009	1.003–1.016	1.010	1.004–1.016
	NO₂	1.002	0.995–1.009	1.008	0.998–1.017	1.005	0.995–1.016	1.005	0.994–1.016	1.005	0.993–1.016
	SO₂	1.007	0.992–1.021	1.029	1.010–1.049	1.028	1.008–1.050	1.028	1.006–1.050	1.030	1.007–1.052
	CO	0.854	0.530–1.375	1.547	0.760–3.149	1.469	0.662–3.257	1.263	0.540–2.955	1.071	0.448–2.559
	O₃	0.995	0.990–0.999	0.996	0.990–1.001	0.997	0.991–1.003	0.997	0.991–1.004	0.997	0.991–1.004
Age3	PM2.5	1.001	0.998–1.004	1.005	1.000–1.010	1.006	1.001–1.012	1.007	1.002–1.013	1.008	1.002–1.014
	PM10	1.001	0.998–1.004	1.004	0.999–1.008	1.006	1.001–1.011	1.008	1.003–1.014	1.009	1.003–1.015
	NO₂	1.003	0.998–1.009	1.003	0.995–1.011	1.000	0.992–1.010	1.001	0.992–1.011	1.000	0.991–1.010
	SO₂	1.009	0.997–1.022	1.017	1.001–1.033	1.020	1.003–1.038	1.022	1.004–1.041	1.024	1.006–1.042
	CO	1.025	0.685–1.532	0.789	0.427–1.456	0.564	0.281–1.130	0.597	0.285–1.250	0.586	0.276–1.241
	O₃	0.995	0.992–0.999	1.000	0.995–1.005	1.003	0.998–1.008	1.004	0.998–1.009	1.004	0.998–1.009
Age4	PM2.5	1.001	0.999–1.007	1.001	0.998–1.010	1.006	1.000–1.012	1.006	1.000–1.013	1.006	1.000–1.013
	PM10	1.003	0.998–1.005	1.003	1.000–1.010	1.006	1.001–1.012	1.006	1.002–1.014	1.007	1.001–1.014
	NO₂	1.007	0.995–1.010	1.007	0.998–1.017	1.006	0.995–1.017	1.006	0.991–1.013	0.999	0.988–1.011
	SO₂	0.978	0.992–1.022	1.033	1.012–1.053	1.032	1.011–1.053	1.028	1.006–1.050	1.021	0.998–1.044
	CO	0.995	0.607–1.577	0.995	0.323–1.329	0.717	0.328–1.567	0.717	0.228–1.285	0.538	0.222–1.301
	O₃	1.000	0.990–1.000	1.000	0.990–1.002	0.998	0.991–1.004	0.998	0.993–1.005	0.999	0.992–1.005
Age5	PM2.5	1.000	0.994–1.006	1.004	0.996–1.013	1.008	0.999–1.018	1.009	0.999–1.019	1.009	0.999–1.019
	PM10	0.999	0.994–1.004	1.004	0.996–1.012	1.009	1.000–1.018	1.010	1.000–1.019	1.009	1.000–1.019
	NO₂	0.995	0.984–1.006	0.991	0.977–1.005	0.992	0.976–1.008	0.990	0.974–1.006	0.987	0.971–1.005
	SO₂	1.001	0.979–1.023	1.010	0.983–1.038	1.017	0.987–1.047	1.016	0.986–1.047	1.015	0.985–1.047
	CO	0.633	0.307–1.306	0.422	0.132–1.350	0.483	0.128–1.829	0.447	0.112–1.789	0.345	0.080–1.480
	O₃	0.994	0.987–1.001	1.002	0.993–1.010	1.005	0.996–1.014	1.006	0.996–1.016	1.006	0.996–1.017

Back to article page

ISSN: 1824-7288

Contact us

Submission enquiries: Access here and click Contact Us
General enquiries: info@biomedcentral.com