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The health effects of fine particulate air pollution

Authors:
The health effects of fine particulate air pollution
The harder we look, the more we find
Matthew Loxham Biotechnology and Biological Sciences Research Council future leader fellow,
Donna E Davies professor of respiratory cell and molecular biology, Stephen T Holgate clinical
professor
School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
Fine particulate matter (PM) of diameter less than 2.5 microns
(PM2.5) is ubiquitous, emanating especially from transport and
combustion sources. Since a seminal 1993 study showing a clear
association between airborne PM2.5 and mortality rates in six
cities in the United States,1 many attempts have been made to
quantify the global annual burden of mortality due to PM2.50.8
million in 2005,2 3.15 million in 2015,3 4 and almost 9 million
in 2018.5 This increase reflects not a 10-fold rise in PM2.5
exposure, but improved modelling of PM2.5 concentrations, and
use of real world exposure-response associations incorporating
new data from developing nations, which has led to conclusions
with increased reliability and, unfortunately, of increased
mortality.
PM2.5 has been associated with diseases of the respiratory and
cardiovascular systems, with cardiovascular disease likely
occurring through systemic inflammation and possibly
translocation of particulate matter into the circulation.6 Indeed,
ultrafine particles (<100 nanometres in diameter) have been
found in the brain and heart.7 8 These mechanisms indicate that
effects are not limited to respiratory and cardiovascular systems,
but uncovering new associations could require hypothesis free
analysis of a dataset large enough to achieve sufficient statistical
power.
In a linked study, Yaguang Wei and colleagues (doi:10.1136/
bmj.l6258) report analyses of more than 95 million US hospital
admissions of Medicare beneficiaries and PM2.5 concentrations
on the day before presentation.9 In addition to confirming
previously established associations between short term PM2.5
concentration and respiratory, cardiovascular, and Parkinsons
disease, and diabetes mellitus, the authors found that each 1
μg/m3 increase in PM2.5 was associated with 2050 extra hospital
admissions, 12 216 days in hospital, and $31m (£24m, 28m)
in care costs, through diseases not previously associated with
PM2.5. These diseases included septicaemia; fluid and electrolyte
disorders; renal failure; and infections of the urinary tract, skin,
and subcutaneous tissue. Taking into account corresponding
values presented for the burden of diseases already associated
with PM2.5 exposure, the burden of these newly associated
diseases represents 31-38% of the total PM2.5 associated effect,
similar to a recent figure for the burden of disease not previously
associated with PM2.5.10 This proportion suggests that current
figures for PM2.5 associated morbidity, which focus on
established disease associations, might be considerable
underestimates.
Crucially for informing policy, these associations remained
even when the analysis was restricted to days when the PM2.5
concentration was below the World Health Organizations
guideline of 25 μg/m3, confirming the conclusions of other
authors finding no safe lower limit for exposure to PM2.5.11 More
optimistically, even small decreases in PM2.5 concentration could
have substantial benefits over a large population, although
extrapolation to the global population requires caution, because
government funded health insurance in the US, including
Medicare, is skewed towards individuals aged older than 65,
certain ethnic groups, and people on low incomes.12
People on low incomes and ethnic minorities tend to be more
affected than others by equivalent PM exposure,13 and more
exposed overall on both national and international levels.14 15
Air pollution is a global problem and must be tackled as such.
While the WHO is currently revising its guidelines, these are
not legally binding. However, reducing pollutant concentrations
is critical to reducing the incidence and exacerbation of the
myriad conditions that have been associated, with varying
strengths of evidence, with PM and other air pollutants.16 17
Our knowledge of the health effects of PM is still lacking in
many areasnotably the range of disease outcomes associated
with particulates and their causality; and the effects of long term
exposure, indoor exposure, and ultrafine PM. The relative effects
of different PM sources, and any differences between primary
PM (released from source) and secondary PM (formed by
reactions of pollutant gases following release), are also poorly
understood. We urgently need more epidemiological research
to uncover new disease associations and to investigate newly
reported associations, and toxicology research to explore
potential causative mechanisms. Funding streams should also
take account of the cross disciplinary research required for such
studies to be performed. As the burden of disease associated
with pollution becomes more apparent, better awareness among
Correspondence to: M Loxham m.loxham@soton.ac.uk
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health professionals and the public is needed to help prevent
and control pollution associated disease exacerbations, and to
push for policies to reduce emissions.
During the 2008 Beijing Olympics, transport and industrial
restrictions substantially improved air quality, accompanied by
a 46% drop in relative risk of outpatient visits for asthma.18 Such
restrictions are probably unsustainable, but progress has still
been made. Thirteen years after the aforementioned study on
six US cities,1 which highlighted the association between
premature mortality and fine particulate matter, the authors
re-evaluated the situation. In the intervening years, five of the
six cities showed reduced PM2.5 concentrations, and a
proportionate reduction in PM2.5 associated mortality.19
Clearly, there is much still to learn, but we should not mistake
knowledge gaps for paucity of evidence. The sooner we act, the
sooner the worlds population will reap the benefits.
Competing interests: The BMJ has judged that there are no disqualifying financial
ties to commercial companies. The authors declare the following other interests:
ML is funded by a future leader fellowship from the Biotechnology and Biological
Sciences Research Council and a senior research fellowship from the National
Institute for Health Research Southampton Biomedical Research Centre; SH is a
cofounder and non-executive board director of Synairgen, a consultant for Dyson
on air quality issues, a UK Research and Innovation Clean Air Champion and a
member of the Natural Environment Research Council; DD is a cofounder and
shareholder of Synairgen, and is also a consultant to the company. The BMJ policy
on financial interests is here: https://www.bmj.com/sites/default/files/attachments/
resources/2016/03/16-current-bmj-education-coi-form.pdf.
Provenance and peer review: Commissioned; not peer reviewed.
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... Furthermore, within the genderstratified analysis, PM2.5 exhibited a more significant influence on HDL levels among older men compared to the older women, which may be attributed to the differences in hormone and metabolic levels caused by gender. Numerous previous investigations have explored the deleterious impacts of PM 2.5 on overall health status and psychological well-being [19][20][21]. The extant literature consistently demonstrates a noteworthy association between air pollutants and dyslipidemia. ...
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Exposure to ambient fine particulate matter (PM2.5) is a major global health concern. Quantitative estimates of attributable mortality are based on disease-specific hazard ratio models that incorporate risk information from multiple PM2.5 sources (outdoor and indoor air pollution from use of solid fuels and secondhand and active smoking), requiring assumptions about equivalent exposure and toxicity. We relax these contentious assumptions by constructing a PM2.5-mortality hazard ratio function based only on cohort studies of outdoor air pollution that covers the global exposure range. We modeled the shape of the association between PM2.5 and nonaccidental mortality using data from 41 cohorts from 16 countries-the Global Exposure Mortality Model (GEMM). We then constructed GEMMs for five specific causes of death examined by the global burden of disease (GBD). The GEMM predicts 8.9 million [95% confidence interval (CI): 7.5-10.3] deaths in 2015, a figure 30% larger than that predicted by the sum of deaths among the five specific causes (6.9; 95% CI: 4.9-8.5) and 120% larger than the risk function used in the GBD (4.0; 95% CI: 3.3-4.8). Differences between the GEMM and GBD risk functions are larger for a 20% reduction in concentrations, with the GEMM predicting 220% higher excess deaths. These results suggest that PM2.5 exposure may be related to additional causes of death than the five considered by the GBD and that incorporation of risk information from other, nonoutdoor, particle sources leads to underestimation of disease burden, especially at higher concentrations.
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