Characteristics of the Exposure-Response Relationship of Particulate Matter and Mortality

Zeng, Qiang; Li, Guoxing; Zhao, Liang; Jiang, Guohong; Pan, Xiaochuan

doi:10.1097/jom.0000000000000541

Cited by 13 publications

(6 citation statements)

References 32 publications

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“…The curve was relatively steep at low levels and flattened out at higher exposures. Previous studies also found similar pattern under different levels of particulate matter [20, 23, 24]. However, considering there were few observations for PM 2.5 , cautions should be taken when using the estimations in the high concentration level.…”

Section: Discussionsupporting

confidence: 51%

“…The concentration of PM 2.5 with the lowest AIC value was selected as the turning point. Similar method had been used in previous studies [18–20]. According to the turning point (128 μg/m 3 ), we created two variables (high concentration level, low concentration level), which were higher or lower than the turning point respectively, to explore the piecewise linear association of PM 2.5 .…”

Section: Methodsmentioning

confidence: 99%

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The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China

Huang

et al. 2017

Environ Health

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BackgroundNumerous studies have found associations between ambient fine particulate matter (PM2.5) and increased mortality risk. However, little evidence is available on associations between PM2.5 and years of life lost (YLL). We aimed to estimate the YLL due to chronic obstructive pulmonary disease (COPD) mortality related to ambient PM2.5 exposure.MethodsA time-series study was conducted based on the data on air pollutants, meteorological conditions and 18,472 registered COPD deaths in Ningbo, China, 2011–2015. The effects of PM2.5 on YLL and daily death of COPD were estimated, after controlling long term trend, meteorological index and other confounders.ResultsThe impact of PM2.5 on YLL due to COPD lasted for 5 days (lag 0–4). Per 10 μg/m3 increase in PM2.5 was associated with 0.91 (95%CI: 0.16, 1.66) years increase in YLL. The excess YLL of COPD mortality were 8206 years, and 0.38 day per person in Ningbo from 2011 to 2015. The exposure-response curve of PM2.5 and YLL due to COPD showed a non-linear pattern, with relatively steep at low levels and flattened out at higher exposures.. Furthermore, the effects were significantly higher in the elderly than those in the younger.ConclusionsOur findings explored burden of PM2.5 on YLL due to COPD and highlight the importance and urgency of ambient PM2.5 pollution control and protection of the vulnerable populations.Electronic supplementary materialThe online version of this article (doi:10.1186/s12940-017-0253-1) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 51%

Section: Methodsmentioning

confidence: 99%

The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China

Huang

et al. 2017

Environ Health

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“…Combining our results from the base model with the aforementioned evidence, it would be better to control for the effect of temperature (and humidity) for at least for 7 days in order to adequately capture the heat effects and somewhat the cold effects, but extending the lags up to 21 days might sufficiently control for the overall cumulative temperature effects, including the prolonged cold effects, and the lag period of 21 days is also commonly adopted in studies of temperature-related mortality [12,26,34]. In addition, though the changes in the size of effects were small among the different extensive adjustments, we found that the observed roughly linear trend in curves in the whole population and subgroups became more evident and the plateaus or bumps seem less apparent after the extensive adjustments for temperature, especially for 21 days, which reminds us to interpret with caution the previously reported nonlinearity of the threshold relation for PM 10 with mortality in several Chinese cities [47], where the temperature were only modeled for days within one week, for which might be artifacts of inadequately controlled temperature and humidity. However, our results were based on a single city, so cautions still should be taken when the findings of the present investigation are generalized to other sites.…”

Section: Discussionsupporting

confidence: 50%

Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors

Luo

Zhang

et al. 2016

IJERPH

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Few studies have explicitly explored the impacts of the extensive adjustment (with a lag period of more than one week) of temperature and humidity on the association between ambient fine particulate matter (PM2.5) and cardiovascular mortality. In a time stratified case-crossover study, we used a distributed lag nonlinear model to assess the impacts of extensive adjustments of temperature and humidity for longer lag periods (for 7, 14, 21, 28 and 40 days) on effects of PM2.5 on total cardiovascular mortality and mortality of cerebrovascular and ischemic heart disease and corresponding exposure-response relationships in Beijing, China, between 2008 and 2011. Compared with results only controlled for temperature and humidity for 2 days, the estimated effects of PM2.5 were smaller and magnitudes of exposure-response curves were decreased when longer lag periods of temperature and relative humidity were included for adjustments, but these changes varied across subpopulation, with marked decreases occurring in males and the elderly who are more susceptible to PM2.5-related mortalities. Our findings suggest that the adjustment of meteorological factors using lag periods shorter than one week may lead to overestimated effects of PM2.5. The associations of PM2.5 with cardiovascular mortality in susceptible populations were more sensitive to further adjustments for temperature and relative humidity.

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“…As a major atmospheric pollutant, fine particulate matter (PM 2.5 , defined as particle less than 2.5 mm aerodynamic diameter) has a small size and a relatively large surface area, which makes it easy to absorb viruses in the air. Especially considering the high levels of PM 2.5 pollution in Beijing [ 45 , 46 ], it is plausible that high wind velocity is a risk factor for the spread of HFMD. On the other hand, children spend more time with indoor activities in confined spaces during windy periods, which would increase the chances of EV transmission, a possible indirect explanation supporting the association of increased transmission with windy conditions.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China

Tian

Liang

et al. 2018

BMC Infect Dis

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BackgroundHand-foot-mouth disease (HFMD) is a common infectious disease in China and occurs mostly in infants and children. Beijing is a densely populated megacity, in which HFMD has been increasing in the last decade. The aim of this study was to quantify spatio-temporal characteristics of HFMD and the relationship between meteorological factors and HFMD incidence in Beijing, China.MethodsDaily counts of HFMD cases from January 2010 to December 2012 were obtained from the Beijing Center for Disease Prevention and Control (CDC). Seasonal trend decomposition with Loess smoothing was used to explore seasonal patterns and temporal trends of HFMD. Bayesian spatiotemporal Poisson regression models were used to quantify spatiotemporal patterns of HFMD incidence and associations with meteorological factors.ResultsThere were 114,777 HFMD cases reported to Beijing CDC from 1 January 2010 to 31 December 2012 and the raw incidence was 568.6 per 100,000 people. May to July was the peak period of HFMD incidence each year. Low-incidence townships were clustered in central, northeast and southwest regions of Beijing. Mean temperature, relative humidity, wind velocity and sunshine hours were all positively associated with HFMD. The effect of wind velocity was significant with a RR of 3.30 (95%CI: 2.37, 4.60) per meter per second increase, as was sunshine hours with a RR of 1.20 (95%CI: 1.02, 1.40) per 1 hour increase.ConclusionsThe distribution of HFMD in Beijing was spatiotemporally heterogeneous, and was associated with meteorological factors. Meteorological monitoring could be incorporated into prediction and surveillance of HFMD in Beijing.Electronic supplementary materialThe online version of this article (10.1186/s12879-018-3071-3) contains supplementary material, which is available to authorized users.

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Characteristics of the Exposure-Response Relationship of Particulate Matter and Mortality

Abstract: Our findings indicated that, at least in China, the PM10 pollutant has threshold effects.

Cited by 13 publications

References 32 publications

The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China

The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China

Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors

Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China

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