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IJERPH
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The Exposome: Health Impacts of Environmental Exposures
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The Exposome: Health Impacts of Environmental Exposures

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 10969

Special Issue Editors

Dr. Maayan Yitshak-Sade

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Chief Guest Editor
Ichan school of medicine at Mount Sinai, New York, NY 10029, USA
Interests: air pollution; built environment; temperature; cardiovascular health
Dr. Kevin James Lane

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Guest Editor
Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
Interests: air pollution; built environment; environmental justice; exposure assessment; spatial modeling
Dr. Liuhua Shi

E-Mail Website
Guest Editor
Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Interests: air pollution; climate change; application of remote sensing; big data; Alzheimer’s disease; dementia

Special Issue Information

Dear Colleagues,

Environmental contributions to morbidity and mortality are challenging to ascertain given the complex net of environmental exposures that change and accumulate over the life span. The “exposome” concept, formulated by C. P. Wild in 2005 to provide an environmental analogy of the genome, refers to the comprehensive assessment of multiple joint environmental exposures. Exposome research is fundamental to improve population health globally. As a substantial percentage of human disease is caused by modifiable environmental exposures, understanding health impacts from multiple exposures could inform solutions to reduce exposures simultaneously to multiple pollutants. As such, there is a need to increase epidemiological studies addressing the effects of multiple exposures on human morbidity and mortality, and new methods to address the methodological issues arising when evaluating multiple correlated exposures, especially within the causal modeling framework. Papers addressing this topic are invited to this Special Issue of the International Journal of Environmental Research and Public Health (IJERPH). We will accept manuscripts from different disciplines, including exposure assessment science, epidemiology, intervention studies, and risk assessment studies. We will include manuscripts focused on combinations of different exposures, such as air pollution, water contamination, greenness, noise, and climate.

Dr. Maayan Yitshak-Sade
Dr. Kevin James Lane
Dr. Liuhua Shi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • exposome
  • correlated exposures
  • life course
  • multiple-exposure modeling

Published Papers (2 papers)

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Research

26 pages, 6536 KiB  
Article
Health Risks Due to Metal Concentrations in Soil and Vegetables from the Six Municipalities of the Island Province in the Philippines
by Ronnel C. Nolos, Christine Joy M. Agarin, Maria Ysabel R. Domino, Pauline B. Bonifacio, Eduardo B. Chan, Doreen R. Mascareñas and Delia B. Senoro
Int. J. Environ. Res. Public Health 2022, 19(3), 1587; https://doi.org/10.3390/ijerph19031587 - 30 Jan 2022
Cited by 25 | Viewed by 6951
Abstract
This paper investigated the health risks due to metal concentrations in soil and vegetables from the island province in the Philippines and the potential ecological risks. The concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn in vegetables and soil in [...] Read more.
This paper investigated the health risks due to metal concentrations in soil and vegetables from the island province in the Philippines and the potential ecological risks. The concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn in vegetables and soil in six municipalities of the province were analyzed using the Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) Perkin Elmer Optima 8000. It was recorded that all metal concentrations in the soil, except for Cd, exceeded the soil quality standard (SQS). The concentration of Fe and Mn was highest among other metals. The Nemerow synthetical pollution index (Pn) in all soil samples was under Class V which means severe pollution level. Likewise, the risk index (RI) of soil ranged from high to very high pollution risk. Most of the metal concentrations in the vegetables analyzed also exceeded the maximum permissible limit (MPL). All health hazard indices (HHIs) were less than 1, which means potential low non-carcinogenic risk to human population by vegetable consumption. However, it was found that concentration of Cr and Ni in vegetables is a potential health hazard having concentrations exceeding the maximum threshold limit. A 75% temporary consumption reduction of bitter melon, eggplant, sweet potato tops, and string beans produced from two municipalities may be helpful in reducing exposure to target metals. Additional studies are needed to confirm this recommendation. Spatial correlation analysis showed that six out of target metals had datasets that were more spatially clustered than would be expected. The recorded data are useful for creation of research direction, and aid in developing strategies for remediation, tools, and programs for improving environmental and vegetable quality monitoring. Full article
(This article belongs to the Special Issue The Exposome: Health Impacts of Environmental Exposures)
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16 pages, 1128 KiB  
Article
Estimating the Combined Effects of Natural and Built Environmental Exposures on Birthweight among Urban Residents in Massachusetts
by Maayan Yitshak-Sade, M. Patricia Fabian, Kevin J. Lane, Jaime E. Hart, Joel D. Schwartz, Francine Laden, Peter James, Kelvin C. Fong, Itai Kloog and Antonella Zanobetti
Int. J. Environ. Res. Public Health 2020, 17(23), 8805; https://doi.org/10.3390/ijerph17238805 - 27 Nov 2020
Cited by 11 | Viewed by 3380
Abstract
Intrauterine growth has health implications both in childhood and adulthood. Birthweight is partially determined by prenatal environmental exposures. We aim to identify important predictors of birthweight out of a set of environmental, built environment exposures, and socioeconomic environment variables during pregnancy (i.e., fine [...] Read more.
Intrauterine growth has health implications both in childhood and adulthood. Birthweight is partially determined by prenatal environmental exposures. We aim to identify important predictors of birthweight out of a set of environmental, built environment exposures, and socioeconomic environment variables during pregnancy (i.e., fine particulate matter (PM2.5), temperature, greenness, walkability, noise, and economic indices). We included all singleton live births of mothers who resided in urban census block-groups and delivered in Massachusetts between 2001 and 2011 (n = 640,659). We used an elastic-net model to select important predictors of birthweight and constructed a multivariate model including the selected predictors, with adjustment for confounders. We additionally used a weighted quantile sum regression to assess the contribution of each exposure to differences in birthweight. All exposures were selected as important predictors of birthweight. In the multivariate model, lower birthweight was significantly associated with lower greenness and with higher temperature, walkability, noise, and segregation of the “high income” group. Treating the exposures individually, nighttime noise had the highest weight in its contribution to lower birthweight. In conclusion, after accounting for individual confounders, maternal environmental exposures, built environment exposures, and socioeconomic environment during pregnancy were important predictors of birthweight, emphasizing the role of these exposures in fetal growth and development. Full article
(This article belongs to the Special Issue The Exposome: Health Impacts of Environmental Exposures)
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