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International Journal of Chronic Obstructive Pulmonary Disease Volume 14, 2019 - Issue
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Original Research

Short-term effects of ambient air pollution on chronic obstructive pulmonary disease admissions in Beijing, China (2013–2017)

Nannan Gao1 Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, [email protected]
,
Chunhou Li2 Office of Medical Insurance, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
,
Jiadong Ji3 School of Statistics, Shandong University of Finance and Economics, Jinan, China
,
Yanli Yang1 Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, [email protected]
,
Shaoting Wang1 Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, [email protected]
,
Xinlun Tian1 Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, [email protected]
&
Kai-Feng Xu1 Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, [email protected]Correspondence[email protected]
 show all
Pages 297-309 | Published online: 23 Jan 2019

Figures & data

Table 1 Demographic characteristics of COPD hospital admissions from January 1, 2013, to February 28, 2017, in Beijing, China

Table 2 Daily summary of the COPD hospital admissions, pollutant levels, and meteorological data from January 1, 2013, to February 28, 2017, in Beijing, China

Table 3 Spearman correlation coefficients between different air pollutants

Figure 1 Percentage changes with 95% CIs in COPD hospitalization visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E), and O3 (F) levels by single-day lag model.

Notes: For CO, percentage change in the relative risks corresponded to each 1 mg/m3 increment of CO levels. *P<0.05; **P<0.01.
Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.
Figure 1 Percentage changes with 95% CIs in COPD hospitalization visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E), and O3 (F) levels by single-day lag model.

Figure 2 Percentage changes with 95% CIs in COPD admission visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E), and O3 (F) levels by multiday lag model.

Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. *P<0.05; **P<0.01.
Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.
Figure 2 Percentage changes with 95% CIs in COPD admission visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E), and O3 (F) levels by multiday lag model.

Figure 3 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in the warm season (in red color) and cold season (in blue color).

Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. **P<0.01; *P<0.05.
Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.
Figure 3 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in the warm season (in red color) and cold season (in blue color).

Figure S1 Scatter plots of daily hospital admission visits and daily concentrations of PM10, NO2, SO2, CO, and O3 levels in Beijing, China, from January 1, 2013, to February 28, 2017.

Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Figure S1 Scatter plots of daily hospital admission visits and daily concentrations of PM10, NO2, SO2, CO, and O3 levels in Beijing, China, from January 1, 2013, to February 28, 2017.Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.
Figure S1 Scatter plots of daily hospital admission visits and daily concentrations of PM10, NO2, SO2, CO, and O3 levels in Beijing, China, from January 1, 2013, to February 28, 2017.Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Figure S2 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in patients aged over 75 years (in red color) and aged <75 years (in blue color).

Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. **P<0.01; *P<0.05.

Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Figure S2 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in patients aged over 75 years (in red color) and aged <75 years (in blue color).Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. **P<0.01; *P<0.05.Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Figure S3 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in female (in red color) and male (in blue color) patients.

Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. **P<0.01; *P<0.05.

Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Figure S3 Percentages (%) with 95% CIs in multiday lag model for COPD hospital visits with per 10 µg/m3 increase in PM2.5 (A), PM10 (B), NO2 (C), SO2 (D), CO (E) and O3 (F) levels in female (in red color) and male (in blue color) patients.Notes: For CO, percentage change in the relative risks corresponded to per 1 mg/m3 increase of CO levels. **P<0.01; *P<0.05.Abbreviations: CO, carbon monoxide; NO2, nitrogen dioxide; O3, ozone; PM2.5, particulate matter ≤2.5 µm in aerodynamic diameter; PM10, particulate matter ≤10 µm in aerodynamic diameter; SO2, sulfur dioxide.

Table S1 Percentage changes (%) with 95% CIs in the single-day lag risks for COPD hospital admissions with per 10 µg/m3 increaseTable Footnotea in air pollutant concentrations stratified by age, sex, and season

 

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