Multipollutant Mixtures

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Newsletter
Health Effects Institute
2017

In this issue of HEI Update, read about the Haagen-Smit Clean Air Leadership Award given to HEI President Dan Greenbaum by the California Air Resources Board, the two 2017 recipients of HEI’s Walter A. Rosenblith New Investigator Award, and the progress of HEI studies examining potential health effects at low levels of air pollution. Also in this issue is a recap of HEI’s recent Annual Conference in Alexandria, Virginia.

This newsletter reports on a third study under way in Europe to complete the comprehensive HEI effort to examine the potential health effects of air pollution at low levels; HEI's new research program focusing on the health effects of exposure to traffic-related pollution; and the GBD MAPS team's presentation of preliminary data on coal’s impact on health in China. In addition, it covers the publication of two new research reports covering novel statistical methods for studying pollutant mixtures and a “direct” approach evaluating the impact of air quality interventions through “causal inference” methods, as well as the retirement of HEI's Aaron Cohen, a strategy session held with HEI's sponsors, and HEI in the news.

Research Report 183, Part 3
John Molitor
Eric Coker
Michael Jerrett
Beate Ritz
Arthur Li
2016

This report is Part 3 of HEI Research Report 183, Development of Statistical Methods for Multipollutant Research. It describes a study to develop and apply statistical methods to analyze the effects of multipollutant exposures on health, expanding beyond the two-pollutant approaches used in many studies to date. HEI funded three innovative studies in recent years to improve the tools for analyzing complex multipollutant exposures. In this last report from these studies, John Molitor and colleagues describe a Bayesian framework to identify spatial clusters of air pollution exposures — and other covariates such as socioeconomic status — and estimated pregnancy outcomes associated with those clusters, using a data set for Los Angeles county. 

Novel Statistical Methods for Studying Pollutant Mixtures

April 7, 2016

HEI Research Report 183, Part 3Modeling of Multipollutant Profiles and Spatially Varying Health Effects with Applications to Indicators of Adverse Birth Outcomes, describes a study to develop and apply statistical methods to analyze the effects of multipollutant exposures on health, expanding beyond the two-pollutant approaches used in many studies to date. 

New Studies on Health Effects at Low Air Pollution Concentrations

February 4, 2016

Three new studies, funded under RFA 14-3, Assessing Health Effects of Long-term Exposure to Low Levels of Ambient Air Pollution, will investigate health effects in millions of people exposed to low levels of air pollution in North America and Europe.

Research Report 183, Parts 1 and 2
Brent A Coull
et al
Eun Sug Park
et al
2015

This report contains two studies, by Drs. Brent A Coull and Eun Sug Park and their colleagues, and a Commentary discussing each study individually, as well as an Integrative Discussion of the two. 
Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution ConstituentsBrent A. Coull et al.
Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants. Eun Sug Park et al. 

Contents: HEI's Strategic Plan for 2015–2020 Now Under Way;  Greenbaum Chairs NRC Review of U.S. Climate, Health Assessment; O'Keefe Closes Out Successful Run on Key Air Advisory Committee; Communicating Results - HEI Science Highlighted at EPA Workshops HEI in the News - Wide Audience for ACES Findings; Novel Statistical Methods for Studying Pollutant Mixtures; Journal Spotlights NPACT Studies; Eyes on the Future - HEI Sponsors Meet with Research Committee to Discuss the Path Forward;  Walter A. Rosenblith New Investigator Award Announced

Research Report 181
Stuart Batterman
Feng-Chiao Su
Shi Li
Bhramar Mukherjee
Chunrong Jia
2014

This report describes a study to identify factors that influence exposure to volatile organic compounds (VOCs) and VOC mixtures. Dr. Stuart Batterman at the University of Michigan–Ann Arbor and colleagues used the extensive data that HEI posted on the Web from the Relationships of Indoor, Outdoor, and Personal Air (RIOPA) study (HEI Research Report 130 Parts I and II), and data from the National Health and Nutrition Examination Survey (NHANES), to characterize exposure distributions for 15 VOCs, with an emphasis on high concentrations. Factors examined included geographic location, weather, characteristics of participants' homes, and specific activities, such as pumping gas.

Research Report 169
HEI Collaborative Working Group on Air Pollution, Poverty, and Health in Ho Chi Minh City
2012

This report describes a study to investigate the relationships among daily variations in air pollution in Ho Chi Minh City (HCMC), Vietnam, hospital admissions for acute lower respiratory infections in children under age 5, and poverty. The study was part of HEI's Public Health and Air Pollution in Asia (PAPA) program and is the first study of air quality and health to be performed in Vietnam. The team of investigators, led by Drs. Le Truong Giang, Long Ngo, and Sumi Mehta, collected daily pollutant data for PM10, sulfur dioxide, nitrogen dioxide, and ozone at multiple locations throughout the city and obtained admissions data from the two pediatric hospitals in HCMC. They then performed statistical analysis on the data using Poisson time-series and case–crossover methods.

Special Report 18
Health Effects Institute
2010

This comprehensive literature review to come out of HEI's Public Health and Air Pollution in Asia (PAPA) program builds on an initial assessment conducted in 2004 and describes the current scope of the Asian literature on the health effects of outdoor air pollution, enumerating and classifying more than 400 studies. In addition, the report includes a systematic and quantitative assessment of 82 time-series studies of daily mortality and hospital admissions for cardiovascular and respiratory disease.