| Literature DB >> 33161530 |
Frank J Kelly1, Ian S Mudway2, Julia C Fussell2.
Abstract
Evidence to advocate for cleaner air for people with asthma is not in short supply. We know that air pollution is associated with the development and worsening of the condition and that mitigating interventions can improve respiratory outcomes. We have clear targets, particularly traffic emissions, especially in urban areas, and plenty of potentially effective actions. Road traffic must be reduced, and what remains should be cleaner and greener. Urban green spaces, safe cycle networks and wider pavements will promote active travel and leisure time exercise. Healthcare professionals must ensure people are aware of their air quality, its impact on asthma and the appropriate behaviour to safeguard health. What remains are realistic policies and effective measures, based on the correct scientific evidence, to be taken forth with political courage and investment so that air pollution no longer contributes to the development or worsening of respiratory ill health.Entities:
Keywords: Air pollution; Asthma; Mitigating interventions; Traffic emissions
Year: 2020 PMID: 33161530 PMCID: PMC7648850 DOI: 10.1007/s41030-020-00138-1
Source DB: PubMed Journal: Pulm Ther ISSN: 2364-1754
Annual number and percentage of new asthma cases attributable to ambient nitrogen dioxide exposure for children aged 1–18 years
| Regionsa | New asthma cases due to NO2 exposure per year, thousands (95% UI)b | New asthma cases due to NO2 exposure per year, per 100 000 children (95% UI)b | New asthma cases due to NO2 exposure per year, % of total incidence (95% UI) |
|---|---|---|---|
| High-Income regions | |||
| Australasia | 12 (5.2–15) | 170 (77–230) | 8.7% (3.8–11) |
| High-income Asia Pacific | 97 (46–120) | 300 (140–370) | 25% (12–32) |
| High-income North America | 270 (120–340) | 310 (140–400) | 19% (8.5–24) |
| Southern Latin America | 56 (26–72) | 290 (130–370) | 18% (8.4–23) |
| Western Europe | 150 (70–200) | 190 (85–240) | 17% (7.8–22) |
| Latin America and Caribbean | |||
| Andean Latin America | 73 (33–94) | 340 (150–440) | 15% (6.7–19) |
| Caribbean | 39 (17–51) | 280 (120–360) | 10% (4.4–13) |
| Central Latin America | 240 (110–310) | 260 (120–330) | 15% (6.7 -19) |
| Tropical Latin America | 150 (66–190) | 230 (100–290) | 13% (5.8–17) |
| Sub-Saharan Africa | |||
| Central sub-Saharan Africa | 61 (27–79) | 110 (47–140) | 5.1% (2.3–6.7) |
| Eastern sub-Saharan Africa | 150 (63–190) | 76 (33–100) | 4.4% (1.9–5.9) |
| Southern sub-Saharan Africa | 46 (20–60) | 160 (69–200) | 8.6% (3.8–11) |
| Western sub-Saharan Africa | 210 (92–280) | 110 (49–150) | 7.6% (3.3–9.9) |
| North Africa and Middle East | 570 (260–730) | 270 (120–350) | 17% (7.6–21) |
| South Asia | 520 (230–680) | 82 (37–100) | 14% (6.3–18) |
| Southeast Asia, East Asia, and Oceania | |||
| East Asia | 800 (370–1000) | 260 (120–340) | 19% (8.9–25) |
| Oceania | 3.1 (1.4–4.1) | 82 (36–110) | 3.1% (1.4–4.1) |
| Southeast Asia | 440 (200–570) | 200 (89–260) | 9.4% (4.2–12) |
| Central Europe, Eastern Europe, and Central Asia | |||
| Central Asia | 46 (21–60) | 160 (70–200) | 16% (7.0–20) |
| Central Europe | 29 (13–38) | 130 (60–170) | 14% (6.1–18) |
| Eastern Europe | 68 (31–88) | 180 (80–230) | 17% (7.6–21) |
| Global | 4000 (180–5200) | 170 (77–220) | 13% (5.8–16) |
Reprinted from The Lancet Planetary Health, Vol 3(4), Achakulwisut P, Brauer M, Hystad P, Anenberg SC, Global, national, and urban burdens of paediatric asthma incidence attributable to ambient NO2 pollution: estimates from global datasets, e170., Copyright (2019), with permission from Elsevier
NO2, Nitrogen dioxide; UI, uncertainty interval (reflect uncertainties in the relative risk estimates of childhood asthma incidence attributable to traffic-related NO2 pollution)
aCountries are grouped into regions according to the Institute for Health Metrics and Evaluation (IHME; Seattle, WA, USA) specification
bNumbers are rounded to two significant figures
Fig. 1Asthma incidence rates and air pollutant concentrations in nine communities during the 1993–2001, 1996–2004 and 2006–2014 cohorts of the Southern California Children’s Health Study, 1993–2014 [12]. Symbol colour indicates the community, and symbol size (small, medium, large) indicates the data are from the 1993–2001 (small), 1996–2004 (medium) and 2006–2014 (large) cohorts, respectively. Simple linear regression models based on asthma incidence and air pollution concentration were used to generate regression lines separately for each community. ppb Parts per billion.
Reproduced from Garcia et al. (JAMA. 2019; 321(19):1906–1915), with permission from JAMA. Copyright© 2019 American Medical Association. All rights reserved
Fig. 2Active streets during La Ciclovía in Bogotá
Fig. 3CityAir smartphone app. The app shows: (1) advice tailored to specific user groups; (2) air pollution forecast; (3) low-pollution journey planners
| We know that air pollution is associated with the development and worsening of asthma and that improving air quality can result in respiratory health gains. |
| The challenge associated with achieving sustained reductions in air pollutants to reduce new-onset asthma and prevent worsening symptoms in those already afflicted should not be considered an intractable one. |
| We have clear targets and a wealth of opportunities to effectively act and make progress. |
| In this review, we discuss a broad array of interventions, targeted to multiple sectors of society, with the aim to bring multiple public health benefits, in addition to air quality improvements. |