| Title |
Statistical Approaches to Address Multi-Pollutant Mixtures and Multiple Exposures: the State of the Science
|
|---|---|
| Published in |
Current Environmental Health Reports, October 2017
|
| DOI | 10.1007/s40572-017-0162-z |
| Pubmed ID | |
| Authors |
Massimo Stafoggia, Susanne Breitner, Regina Hampel, Xavier Basagaña |
| Abstract |
The purpose of this review is to describe the most recent statistical approaches to estimate the effect of multi-pollutant mixtures or multiple correlated exposures on human health. The health effects of environmental chemicals or air pollutants have been widely described. Often, there exists a complex mixture of different substances, potentially highly correlated with each other and with other (environmental) stressors. Single-exposure approaches do not allow disentangling effects of individual factors and fail to detect potential interactions between exposures. In the last years, sophisticated methods have been developed to investigate the joint or independent health effects of multi-pollutant mixtures or multiple environmental exposures. A classification of the most recent methods is proposed. A non-technical description of each method is provided, together with epidemiological applications and operational details for implementation with standard software. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 25% |
| Researcher | 25 | 22% |
| Student > Master | 10 | 9% |
| Lecturer | 5 | 4% |
| Student > Doctoral Student | 4 | 4% |
| Other | 16 | 14% |
| Unknown | 24 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 18 | 16% |
| Medicine and Dentistry | 16 | 14% |
| Mathematics | 6 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 19 | 17% |
| Unknown | 43 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from Current Environmental Health Reports
#296
of 324 outputs
Outputs of similar age
#248,076
of 324,048 outputs
Outputs of similar age from Current Environmental Health Reports
#10
of 12 outputs
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