Pediatric Environmental Health

Public Health ◽  
2021 ◽  
Author(s):  
Ruth Etzel

Pediatric environmental health is the academic discipline that studies how environmental exposures in early life — biological, chemical, nutritional, physical, and social—influence health and development in childhood and across the lifespan. This discipline emerged in the mid-1980s after the discovery that secondhand smoke exposure was linked to increased rates of lower respiratory illness in children. Before that, most people did not realize that smoking cigarettes harmed anyone but the smoker. When the harmful effects of secondhand exposure to tobacco smoke were uncovered, researchers began asking questions about other pollutants—could it be that other biological, chemical, physical, and social agents to which children are routinely exposed also harm their health? Children have environmental exposures that are different from and often larger than those of adults. Children also have enormous susceptibilities in early development—unique “windows of vulnerability”—to toxic exposures that have no counterpart in adult life. It is well understood that timing of exposure is critically important in early human development. The tissues and organs of embryos, fetuses, infants, and children are rapidly growing and developing. Adolescence also is a period of rapid growth. These complex and delicate developmental processes are uniquely sensitive to disruption by environmental influences. Exposures sustained during windows of early vulnerability, even to extremely low levels of toxic materials, can cause lasting damage.

2020 ◽  
Author(s):  
Hao Xu ◽  
Steven Cox ◽  
Lisa Stillwell ◽  
Emily Pfaff ◽  
James Champion ◽  
...  

Abstract Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. Results We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution’s clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We have validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations. Conclusions While FHIR PIT was developed to support our driving use case, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.


Maturitas ◽  
2017 ◽  
Vol 100 ◽  
pp. 138
Author(s):  
Diana Kuh ◽  
Rachel Cooper ◽  
Adam Moore ◽  
Marcus Richards ◽  
Rebecca Hardy

2019 ◽  
Vol 244 (9) ◽  
pp. 728-733
Author(s):  
John D Groopman

Within the last decade, for the first time in human history, deaths from chronic diseases have exceeded mortality from acute causes worldwide. These chronic diseases encompass a spectrum of cancers, cardiovascular diseases, neurological diseases, and the emerging consequences of obesity and over nutrition. Further, there are more people today who are cancer survivors as well as people who are afflicted with multiple chronic diseases. This results in an emerging new group of susceptible populations with complex biology’s that will drive the development of new experimental models. Since environmental exposures have a profound impact from the etiology of disease through progression and response to therapeutic and preventive interventions, a new appreciation of the role of environmental health has emerged. This mini-review will attempt to provide a global perspective on the transitions that have occurred in environmental health over the last 200 years and how these transitions are impacting diverse populations globally. The extraordinary advances in our understanding of the biology of normal development and the molecular progression of disease processes have created unprecedented opportunities for the translation of basic science to therapy and prevention. The need to integrate findings from the biological, physical, engineering, social, and behavioral sciences, sometimes called convergence, points to an imperative to develop new team science approaches to address the health consequences of environmental exposures. Finally, as it is increasingly recognized that disease outbreaks in one part of the world are no longer isolated from global impacts, there is a need to assure that our next generations of trained scientists have grounding in global collaborations. Impact statement There is a rapidly occurring, dynamic change, in the causes of morbidity and mortality in different populations across the globe. More people today are being diagnosed and treated for chronic diseases such as cancer, cardiovascular disease, and diabetes than ever before. Environmental exposures across the lifespan have a profound impact on the outcomes of these chronic diseases. Further, there are more people living today who have survived their therapy from these diagnoses and who are now differentially susceptible to environmental exposures. Collectively, this poses both the challenge and opportunity to the experimental biology and medicine community to build new models that reflect this changing human situation. The extraordinary advances in our understanding of the biology of disease provide extraordinary insights for both therapeutic and prevention strategies. Multidisciplinary teams including biological, physical, engineering and social and behavioral scientists will be needed to address this problem over the next several decades.


2012 ◽  
Vol 39 (4) ◽  
pp. 259-271 ◽  
Author(s):  
Frederick W. Miller ◽  
Lars Alfredsson ◽  
Karen H. Costenbader ◽  
Diane L. Kamen ◽  
Lorene M. Nelson ◽  
...  

2007 ◽  
Vol 98 (5) ◽  
pp. 1021-1028 ◽  
Author(s):  
J. Johnston ◽  
C. J. Prynne ◽  
A. M. Stephen ◽  
M. E. J. Wadsworth

An investigation was carried out to determine whether there were significant changes in the intake of haem and non-haem Fe of adult men and women in the UK from 1982 (aged 36 years) to 1999 (aged 53 years). The 1253 subjects studied were members of the Medical Research Council National Survey of Health and Development; a longitudinal study of a nationally representative cohort of births in 1946. Food intake was recorded in a 5-d diary at age 36 years in 1982, 43 years in 1989 and 53 years in 1999. Outcome measures were mean intakes of total Fe, haem and non-haem Fe, by year, gender and food source. There were significant changes in total Fe, haem Fe and non-haem Fe intake over the three time points. Total Fe intake was significantly higher in 1989 than in 1982 or 1999 for both men and women but haem Fe was significantly lower in 1999 mainly due to a 40 % fall in haem Fe from beef during this period. Haem Fe from processed meats fell by more than 50 % between 1989 and 1999 but that from poultry rose by more than 50 %. Cereal foods remained the most important source of non-haem Fe and the contribution from breakfast cereals rose relative to that of bread over the 17 years. Several factors could be responsible for these changes, particularly the importance of the epidemic of BSE from 1990. The possible advantages of a lower haem Fe intake in older subjects are discussed.


2021 ◽  
Vol 9 ◽  
Author(s):  
Susan Marie Viet ◽  
Michael Dellarco ◽  
Edith Chen ◽  
Thomas McDade ◽  
Elaine Faustman ◽  
...  

An important step toward understanding the relationship between the environment and child health and development is the comprehensive cataloging of external environmental factors that may modify health and development over the life course. Our understanding of the environmental influences on health is growing increasingly complex. Significant key questions exist as to what genes, environment, and life stage mean to defining normal variations and altered developmental trajectories throughout the life course and also across generations. With the rapid advances in genetic technology came large-scale genomic studies to search for the genetic etiology of complex diseases. While genome-wide association studies (GWAS) have revealed genetic factors and networks that advance our understanding to some extent, it is increasingly recognized that disease causation is largely non-genetic and reflects interactions between an individual's genetic susceptibility and his or her environment. Thus, the full promise of the human genome project to prevent or treat disease and promote good health arguably depends on a commitment to understanding the interactions between our environment and our genetic makeup and requires a design with prospective environmental data collection that considers critical windows of susceptibility that likely correspond to the expression of specific genes and gene pathways. Unlike the genome, which is static, relevant exposures as well as our response to exposures, change over time. This has fostered the complementary concept of the exposome ideally defined as the measure of all exposures of an individual over a lifetime and how those exposures relate to health. The exposome framework considers multiple external exposures (e.g., chemical, social) and behaviors that may modify exposures (e.g., diet), as well as consequences of environmental exposures indexed via biomarkers of physiological response or measures of behavioral response throughout the lifespan. The exposome concept can be applied in prospective developmental studies such as the National Children's Study (NCS) with the practical understanding that even a partial characterization will bring major advances to health. Lessons learned from the NCS provide an important opportunity to inform future studies that can leverage these evolving paradigms in elucidating the role of environment on health across the life course.


2020 ◽  
Author(s):  
Hao Xu ◽  
Steven Cox ◽  
Lisa Stillwell ◽  
Emily Pfaff ◽  
James Champion ◽  
...  

Abstract Background: Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. Results: We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution’s clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We have validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations.Conclusions: While FHIR PIT was developed to support our driving use case, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.


Author(s):  
Anna Lora-Wainwright

Chapter 1 situates the book vis-à-vis relevant literature on social movements, environmentalism, environmental health and these areas as they relate to China. In the first part, it suggests that environmentalism may take very diverse forms and it is powerfully shaped by its cultural, social, political and economic contexts. These contexts in turn affect the ways in which locals value environment, health and development and the extent to which they may be uncertain about pollution’s health effects. In light of this, the chapter presents “resigned activism” as a conceptual tool for bridging analyses of activism and resignation, and for showing how they merge across a wide range of villagers’ attitudes and everyday practices. In the second part, it outlines some of China’s environmental challenges and burgeoning environmentalism. It argues in favour of looking beyond the obvious environmental agents (NGOs) and strategies, towards less visible environmental subjectivities.


2019 ◽  
Vol 40 (1) ◽  
pp. 23-43 ◽  
Author(s):  
Marie-Abèle Bind

The field of environmental health has been dominated by modeling associations, especially by regressing an observed outcome on a linear or nonlinear function of observed covariates. Readers interested in advances in policies for improving environmental health are, however, expecting to be informed about health effects resulting from, or more explicitly caused by, environmental exposures. The quantification of health impacts resulting from the removal of environmental exposures involves causal statements. Therefore, when possible, causal inference frameworks should be considered for analyzing the effects of environmental exposures on health outcomes.


Sign in / Sign up

Export Citation Format

Share Document