Interactions between particulate air pollution and temperature in air pollution mortality time series studies

Roberts, Steven

doi:10.1016/j.envres.2004.01.015

Cited by 148 publications

(111 citation statements)

References 31 publications

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“…This is in line with reports from Awomeso et al [14] and ATSDR [15]. Also, similar pattern of research findings are in line with the studies carried out by Ozturk et al [16] in relation to anthropogenic change regime of tropospheric ozone in the Mediterranean and global environment [17,18]. In conclusion, it is recommended that government should put in place necessary regulations and measures to check indiscriminate dumping of refuse through enforcement of the rules and regulations that govern a sustainable environment for healthy living in Osisioma Ngwa Local Government Area in Nigeria.…”

Section: Resultssupporting

confidence: 82%

Assessment of Ambient Air Quality with Special Reference to NO2 in the Waste Dump Site at Osisoma Ngwa LGA, Nigeria

Nwakanma¹,

Ue²,

Ei³

2016

J Ecosyst Ecogr

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Nitrogen dioxide (NO 2 ) is the only widely prevalent coloured pollutant in the atmosphere. The assessment of ambient air quality with special reference to NO 2 was carried out in this study at the waste dump site in Osisioma Ngwa Local government Area in Nigeria during the morning and Owerrita Station according to Standards where described to be good and others where described to be moderate. However, with results from PSI for NO 2 , overall assessment was described as unhealthy for general health condition of the people around that area since values obtained from morning and evening period ranged from 0.02 to 0.09 ppm.

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Section: Resultssupporting

confidence: 82%

Assessment of Ambient Air Quality with Special Reference to NO2 in the Waste Dump Site at Osisoma Ngwa LGA, Nigeria

Nwakanma¹,

Ue²,

Ei³

2016

J Ecosyst Ecogr

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“…The difference in findings may be explained by our use of improved statistical models (the dlnm package), constraining the models to a 30-day lag period, while 3-day (Kan et al 2007), 5-day (Cao et al 2009) or 8-day (Tam et al 2009) lag periods were preferred in other studies, and using a 24 year long time series while the results reported in the literature were drawn from 4 or 6 year long series (Cao et al 2009;Kan et al 2007;Song et al 2008;Tam et al 2009). We acknowledge the uncertainty regarding the appropriateness of adjusting for air pollution variables in the statistical model, as the effect of air pollution on mortality was shown to be influenced by temperature (Ren et al 2008;Ren and Tong 2006;Roberts 2004). It is thus possible that air pollution may be on a causal pathway between diurnal variations in temperature and mortality.…”

Section: Discussionmentioning

confidence: 99%

“…The appropriateness of such an adjustment is still under debate, since the effect of air pollution on mortality was shown to be influenced by temperature (Ren et al 2008;Ren and Tong 2006;Roberts 2004). …”

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confidence: 99%

Effects of diurnal variations in temperature on non-accidental mortality among the elderly population of Montreal, Québec, 1984–2007

2013

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The association between short-term changes in ambient temperature and daily mortality has been described widely in the literature. A few recent papers support the hypothesis that diurnal variations in temperature may also have an impact on mortality, independent of the effect of daily mean temperature. The objective of the thesis was to determine whether variations in diurnal temperature increased daily non-accidental mortality among the elderly population of Montreal, Quebec, during the 1984-2007 study period. We used distributed lag non-linear models constrained over a 30 day lag period, and adjusted for temporal trends, mean daily temperature, and mean daily concentrations of nitrogen dioxide and ozone. We found over the 30 day lag period a cumulative increase of 5.12% (95% confidence interval (CI): 0.02 to 10.49) in daily mortality for an increase of the diurnal temperature range from 6 °C to 11 °C and a 11.27% (95% CI: 2.08 to 21.29) increase in mortality associated with an increase of the diurnal temperature range from 11 to 16 °C. The results were relatively robust to adjustment for mean temperature.In conclusion, we found that in Montreal daily diurnal variations in temperature are associated with a small increase in mortality among the elderly population. More studies are needed in different geographical locations to confirm these effects.ii Résumé L'association entre les variations à court terme de la température ambiante et la mortalité quotidienne a été largement décrite dans la littérature. Quelques articles récents supportent l'hypothèse que les variations diurnes de la température peuvent également avoir un impact notable sur la mortalité, indépendamment de l'effet de la température moyenne. L'objectif de la thèse était de déterminer si les variations de température diurne provoquent une augmentation de la mortalité quotidienne non accidentelle chez les iii

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“…Numerous time series studies have investigated the association between daily mortality and some measure of daily ambient particulate matter air pollution (PM) (Styer et al, 1995;Ostro et al, 1999;Chock et al, 2000;Kwon et al, 2001;Vedal et al, 2003;Filleul et al, 2004;Roberts, 2004b). These studies typically fit a generalized additive model (Hastie and Tibshirani, 1990) or generalized linear model (McCullagh and Nelder, 1989) to concurrent time series of daily mortality, PM, and meteorological covariates.…”

Section: Introductionmentioning

confidence: 99%

Bootstrap model averaging in time series studies of particulate matter air pollution and mortality

Martin

Roberts

2005

J Expo Sci Environ Epidemiol

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The consensus from time series studies that have investigated the mortality effects of particulate matter air pollution (PM) is that increases in PM are associated with increases in daily mortality. However, recently concerns have been raised that the observed positive association between PM and mortality may be an artefact of model selection due to multiple hypothesis testing. This problem arises when a number of models are investigated, but only the ''best'' model is reported and all subsequent inference is based on this model, ignoring the model selection process. In this paper, we introduce the use of the bootstrap as a means of addressing the problems of model selection in PM mortality time series studies. Using the bootstrap to perform inference about the effect of PM on mortality is a process based on a set of models rather than on a single model. It is shown that using the bootstrap to overcome the problems of model selection is competitive with the existing methodology of Bayesian model averaging.

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Interactions between particulate air pollution and temperature in air pollution mortality time series studies

Cited by 148 publications

References 31 publications

Assessment of Ambient Air Quality with Special Reference to NO2 in the Waste Dump Site at Osisoma Ngwa LGA, Nigeria

Assessment of Ambient Air Quality with Special Reference to NO2 in the Waste Dump Site at Osisoma Ngwa LGA, Nigeria

Effects of diurnal variations in temperature on non-accidental mortality among the elderly population of Montreal, Québec, 1984–2007

Bootstrap model averaging in time series studies of particulate matter air pollution and mortality

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