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Open AccessJournal ArticleDOI

Modelling of temporal exposure to the ambient environment and eczema severity

TLDR
In this article, the temporal association of weather and pollution parameters with eczema severity was investigated by using logistic generalized additive models and a model selection process, and they found that tropospheric ozone (O3) averaged over the preceding 270 days was strongly associated with severity alongside the exposure to fine particles with diameters of 2.5 μm or less (PM2.5).
Abstract
Atopic eczema is a common and complex disease. Missing genetic hereditability and increasing prevalence in industrialising nations point towards an environmental driver. We investigated the temporal association of weather and pollution parameters with eczema severity. This cross-sectional clinical study was performed between May 2018 and March 2020 and is part of the Tower Hamlets Eczema Assessment. All participants had a diagnosis of eczema, lived in East London, were of Bangladeshi ethnicity and were less than 31 years of age. The primary outcome was the probability of having an EASI score > 10 after prior ambient exposure to commonly studied meteorological variables and pollutants. There were 430 participants in EASI ≤ 10 and 149 in EASI >10 groups. By using logistic generalized additive models and a model selection process, we found that tropospheric ozone (O3) averaged over the preceding 270 days was strongly associated with eczema severity alongside the exposure to fine particles with diameters of 2.5 μm or less (PM2.5) averaged over the preceding 120 days. In our models and analyses PM2.5 appeared to largely act in a supporting role to O3. We demonstrate that long-term exposure to ground-level ozone at high levels has the strongest association with eczema severity.

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References
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Book

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Stephen S Lim, +210 more
- 15 Dec 2012 - 
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
Journal ArticleDOI

Multimodel Inference Understanding AIC and BIC in Model Selection

TL;DR: Various facets of such multimodel inference are presented here, particularly methods of model averaging, which can be derived as a non-Bayesian result.
Book

Generalized Additive Models: An Introduction with R, Second Edition

Simon N Wood
TL;DR: In this article, a simple linear model is proposed to describe the geometry of linear models, and a general linear model specification in R is presented. But the theory of linear model theory is not discussed.
Journal ArticleDOI

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.
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