Health Consequences of Environmental Exposures: Changing Global Patterns of Exposure and Disease

Philip J. Landrigan, J. Leith Sly, Mathuros Ruchirawat, Emerson R. Silva, Xia Huo, Fernando Diaz-Barriga, Heather J. Zar, Malcolm King, Eun Hee Ha, Kwadwo Ansong Asante, Hamid Ahanchian, Peter D. Sly

Research output: Contribution to journalReview articlepeer-review

77 Scopus citations

Abstract

Environmental pollution is a major cause of disease and death. Exposures in early life are especially dangerous. Patterns of exposure vary greatly across countries. In low-income and lower middle income countries (LMICs), infectious, maternal, neonatal, and nutritional diseases are still major contributors to disease burden. By contrast, in upper middle income and high-income countries noncommunicable diseases predominate. To examine patterns of environmental exposure and disease and to relate these patterns to levels of income and development, we obtained publically available data in 12 countries at different levels of development through a global network of World Health Organization Collaborating Centres in Children's Environmental Health. Pollution exposures in early life contribute to both patterns. Chemical and pesticide pollution are increasing, especially in LMICs. Hazardous wastes, including electronic waste, are accumulating. Pollution-related chronic diseases are becoming epidemic. Future Global Burden of Disease estimates must pay increased attention to the short- and long-term consequences of environmental pollution.

Original languageEnglish
Pages (from-to)10-19
Number of pages10
JournalAnnals of Global Health
Volume82
Issue number1
DOIs
StatePublished - 1 Jan 2016

Bibliographical note

Publisher Copyright:
© 2016 The Authors

Keywords

  • children
  • low and middle income countries
  • non-communicable disease
  • pollution
  • publich health

Fingerprint

Dive into the research topics of 'Health Consequences of Environmental Exposures: Changing Global Patterns of Exposure and Disease'. Together they form a unique fingerprint.

Cite this