| Literature DB >> 33336171 |
Rui-Rui Duan1,2,3,4, Ke Hao5, Ting Yang1,2,3,4.
Abstract
There is considerable epidemiological evidence indicating that air pollution has adverse effects on human health and is closely related to respiratory diseases, including chronic obstructive pulmonary disease (COPD). These effects, which can be divided into short- and long-term effects, can manifest as an exacerbation of existing symptoms, impaired lung function, and increased hospitalization and mortality rates. Long-term exposure to air with a high concentration of pollutants may also increase the incidence of COPD. The combined effects of different pollutants may become more complex in the future; hence, there is a need for more intensive research on specific at-risk populations, and formulating corresponding protective strategies is crucial. We aimed to review the epidemiological evidence on the effect of air pollution on COPD, the possible pathophysiological mechanisms underlying this effect, as well as protective measures against the effects of air pollutants in patients with COPD.Entities:
Keywords: Air pollutant; Air pollution; Chronic obstructive pulmonary disease; Health effect
Year: 2020 PMID: 33336171 PMCID: PMC7729117 DOI: 10.1016/j.cdtm.2020.05.004
Source DB: PubMed Journal: Chronic Dis Transl Med ISSN: 2095-882X
Selected studies of the association between exposure to air pollution and COPD.
| Study/year | Location | Design | Population sample | Health effects | Outcome (OR/HR,95% CI) |
|---|---|---|---|---|---|
| Schikowski et al./2005 | Germany (1985–1994) | Consecutive-cross sectional study | 4757 | prevalence | NO2 (1.33, 95% CI,1.03–1.72, per 16 μg/m3) |
| Schikowski et al./2014 | Europe (2008–2011) | Cohort study | 6550(NOx) | prevalence | No statistically significant correlation was found |
| Cai Y et al./2014 | Europe (1998–2011) | Cross-sectional study | 15,279(NO2) | prevalence | No statistically significant correlation was found |
| Atkinson RW et al./2015 | England (2003–2007) | Cohort Study | 16,034 | prevalence | PM2.5 (1.05, 95% CI, 0.98–1.13, per 1.9 μg/m3) |
| Liu S et al./2017 | China (2012–2015) | Cross-sectional study | 5993 | prevalence | 2.416 (95% CI,1.417 to 4.118) for >35–75 μg/m3 and 2.530 (95% CI, 1.280 to 5.001) for >75 μg/m3 compared with the level of ≤35 μg/m3 for PM2.5 |
| Dany Doiron et al./2019 | UK (2006–2010) | Cross-sectional analyses | 303, 887 | prevalence | PM2.5 (1.52, 95% CI 1.42–1.62, per 5 μg/m3) |
| Zanobetti A et al./2008 | USA (1985–1999) | Cohort study | 1,039,000 | mortality | PM10 (1.22, 95% CI: 1.17–1.27, per 10 μg/m3) |
| Kazemiparkouhi F et al./2019 | USA (2000–2008) | Time-series study | 22,200,000 | mortality | O3 (1.065, 95% CI 1.060–1.069, per 10 ppb) |
| Junfang Cai et al./2019 | China (2013–2015) | Time-series study | 41,815 | mortality | The excess risk (ER) is 8.24% (95% CI: 3.53–13.17) for per 10 μg/m3 increase in PM2.5 |