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Table 2 The effects of air pollutants on daily clinical visits for childhood ARD, HDM-ARD and NHDM-ARD

From: Assessing the impact of air pollutants on clinical visits for childhood allergic respiratory disease induced by house dust mite in Shanghai, China

Variables

ARD

HDM-ARD

NHDM-ARD

Lag (day)

Single-day effect

Lag (day)

Cumulative effect

Lag (day)

Single-day effect

Lag (day)

Cumulative effect

Lag (day)

Single-day effect

Lag (day)

Cumulative effect

High level

 NO2

2

1.02 (0.98, 1.07)

0–2

0.98 (0.88, 1.09)

2

1.04 (0.97, 1.11)

0–2

1.03 (0.88, 1.19)

5

1.07 (0.96, 1.20)

0–5

0.96 (0.78, 1.19)

 SO2

5

1.02 (0.95, 1.11)

0–2

0.98 (0.89, 1.08)

5

1.04 (0.93, 1.17)

0–2

1.00(0.87, 1.15)

5

1.01 (0.91, 1.13)

0–5

0.99 (0.82, 1.20)

 PM10

5

1.06 (0.99, 1.13)

0–5

1.04 (0.91, 1.18)

5

1.04 (0.94, 1.14)

0–2

1.02 (0.90, 1.16)

5

1.09 (0.99, 1.19)

0–5

1.05 (0.88, 1.26)

 PM2.5

5

1.04 (0.98, 1.11)

0–5

1.06 (0.94,1.19)

5

1.04 (0.95, 1.14)

0–5

1.04 (0.87, 1.24)

5

1.04 (0.96, 1.14)

0–5

1.08 (0.91, 1.28)

 O3

5

1.08 (1.00, 1.17)

0–5

1.19 (1.03, 1.38)

5

1.13 (1.01, 1.27)

0–5

1.26(1.03, 1.55)

2

1.03 (0.96, 1.12)

0–5

1.13 (0.89, 1.43)

IQR increase

 NO2

2

1.01 (0.99, 1.02)

0–2

0.99 (0.96, 1.03)

2

1.01 (0.99, 1.03)

0–2

1.01 (0.96, 1.06)

5

1.02 (0.99, 1.06)

0–5

0.99 (0.92, 1.06)

 SO2

5

1.01 (0.99, 1.03)

0–2

1.00 (0.97, 1.03)

5

1.01 (0.98, 1.05)

0–2

1.00(0.96,1.04)

5

1.01(0.98,1.04)

0–5

1.00 (0.95, 1.06)

 PM10

5

1.02 (1.00, 1.04)

0–5

1.01 (0.97, 1.05)

5

1.01 (0.98, 1.04)

0–2

1.01 (0.97, 1.05)

5

1.03 (1.00, 1.05)

0–5

1.02 (0.96, 1.07)

 PM2.5

5

1.02 (0.99, 1.04)

0–5

1.02 (0.97, 1.06)

5

1.02 (0.99, 1.05)

0–5

1.01 (0.95, .07)

5

1.01 (0.98, 1.04)

0–5

1.02 (0.96, 1.08)

 O3

5

1.03 (1.00, 1.06)

0–5

1.06 (1.01, 1.12)

5

1.05 (1.00, 1.09)

0–5

1.09 (1.01, 1.17)

2

1.01 (0.98, 1.05)

0–5

1.05 (0.96, 1.15)

  1. Data were represented with relative risk (RR) and 95% confidence interval; bold value means statistically significant (p < 0.05);
  2. The results were calculated with the 95th percentile of air pollutants (high level) or with IQR increase compared to the minimum value;
  3. Single-day and cumulative effect reported the highest RR at a certain lag;
  4. The final model, included the temperature, public holidays, day of the week, ns (time, df/year), and one air pollutant