Estimating the Health Effects of Exposure to Multi-Pollutant Mixture

Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The char...

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Vydané v:	Annals of epidemiology Ročník 22; číslo 2; s. 126 - 141
Hlavní autori:	Billionnet, Cécile, Sherrill, Duane, Annesi-Maesano, Isabella
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.02.2012
Predmet:	Air Pollutants - adverse effects Air Pollutants - analysis Air Pollution Air Pollution - adverse effects Air Pollution - analysis Bayes Theorem Cluster Analysis Collinearity Combined Effect Correlated Pollutants Environmental Exposure - adverse effects Environmental Exposure - classification Environmental Monitoring - methods Humans Internal Medicine Logistic Models Multiple Pollutants Pollution effects Public health Reviews Risk assessment Risk Assessment - methods OR Multiple Pollutants PMF Combined Effect Air Pollution VOC PCA VIF GAM DSA PLS BMA Collinearity Correlated Pollutants PM SPCA RP positive matrix factorization variance inflation factor volatile organic compounds Bayesian model averaging odds ratio particulate matter supervised principal component analysis recursive partitioning partial least-square deletion/substitution/addition generalized additive model principal component analysis
ISSN:	1047-2797, 1873-2585, 1873-2585
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Abstract	Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health. We made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods. Eighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology. The use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions.
AbstractList	Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health. We made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods. Eighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology. The use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions. Purpose Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health. Methods We made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods. Results Eighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology. Conclusions The use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions. Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health.PURPOSEAir pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air pollutants at once that are highly correlated with each other, there is a need to consider the multi-pollutant exposure phenomenon. The characteristics of multiple pollutants that make statistical analysis of health-related effects of air pollution complex include the high correlation between pollutants prevents the use of standard statistical methods, the potential existence of interaction between pollutants, the common measurement errors, the importance of the number of pollutants to consider, and the potential nonlinear relationship between exposure and health.We made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods.METHODSWe made a review of statistical methods either used in the literature to study the effect of multiple pollutants or identified as potentially applicable to this problem. We reported the results of investigations that applied such methods.Eighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology.RESULTSEighteen publications have investigated the multi-pollutant effects, 5 on indoor pollution, 10 on outdoor pollution, and 3 on statistical methodology with application on outdoor pollution. Some other publications have only addressed statistical methodology.The use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions.CONCLUSIONSThe use of Hierarchical Bayesian approach, dimension reduction methods, clustering, recursive partitioning, and logic regression are some potential methods described. Methods that provide figures for risk assessments should be put forward in public health decisions.
Author	Billionnet, Cécile Annesi-Maesano, Isabella Sherrill, Duane
Author_xml	– sequence: 1 givenname: Cécile surname: Billionnet fullname: Billionnet, Cécile email: billionnet@u707.jussieu.fr organization: INSERM, UMR S 707, EPAR, F-75012, Paris, France – sequence: 2 givenname: Duane surname: Sherrill fullname: Sherrill, Duane organization: Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ – sequence: 3 givenname: Isabella surname: Annesi-Maesano fullname: Annesi-Maesano, Isabella organization: INSERM, UMR S 707, EPAR, F-75012, Paris, France
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/22226033$$D View this record in MEDLINE/PubMed
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Issue	2
Keywords	OR Multiple Pollutants PMF Combined Effect Air Pollution VOC PCA VIF GAM DSA PLS BMA Collinearity Correlated Pollutants PM SPCA RP positive matrix factorization variance inflation factor volatile organic compounds Bayesian model averaging odds ratio particulate matter supervised principal component analysis recursive partitioning partial least-square deletion/substitution/addition generalized additive model principal component analysis
Language	English
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PublicationTitle	Annals of epidemiology
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Snippet	Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to many air... Purpose Air pollution constitutes a major public health concern because of its ubiquity and of its potential health impact. Because individuals are exposed to...
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SubjectTerms	Air Pollutants - adverse effects Air Pollutants - analysis Air Pollution Air Pollution - adverse effects Air Pollution - analysis Bayes Theorem Cluster Analysis Collinearity Combined Effect Correlated Pollutants Environmental Exposure - adverse effects Environmental Exposure - classification Environmental Monitoring - methods Humans Internal Medicine Logistic Models Multiple Pollutants Pollution effects Public health Reviews Risk assessment Risk Assessment - methods
Title	Estimating the Health Effects of Exposure to Multi-Pollutant Mixture
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