LSTM Home > LSTM Research > LSTM Online Archive

Household air pollution: a call for studies into biomarkers of exposure and predictors of respiratory disease

Rylance, Jamie ORCID: https://orcid.org/0000-0002-2323-3611, Gordon, Stephen ORCID: https://orcid.org/0000-0001-6576-1116, Naeher, L. P., Patel, A., Balmes, J. R., Adetona, O., Rogalsky, D. K. and Martin, W. J. (2013) 'Household air pollution: a call for studies into biomarkers of exposure and predictors of respiratory disease'. AJP - Lung Cellular and Molecular Physiology, Vol 304, Issue 9, L571-L578.

Full text not available from this repository.

Abstract

Household air pollution (HAP) from indoor burning of biomass or coal is a leading global cause of morbidity and mortality, mostly due to its association with acute respiratory infection in children and chronic respiratory and cardiovascular diseases in adults. Interventions that have significantly reduced exposure to HAP improve health outcomes and may reduce mortality. However, we lack robust, specific, and field-ready biomarkers to identify populations at greatest risk and to monitor the effectiveness of interventions. New scientific approaches are urgently needed to develop biomarkers of human exposure that accurately reflect exposure or effect. In this Perspective, we describe the global need for such biomarkers, the aims of biomarker development, and the state of development of tests that have the potential for rapid transition from laboratory bench to field use.

Item Type: Article
Subjects: WA Public Health > WA 30 Socioeconomic factors in public health (General)
WA Public Health > Air pollution > WA 754 Pollution and pollutants (incl. tobacco pollution; passive smoking)
WF Respiratory System > WF 140 Diseases of the respiratory system (General)
WF Respiratory System > WF 20 Research (General)
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.1152/ajplung.00416.2012
Depositing User: Lynn Roberts-Maloney
Date Deposited: 11 Mar 2015 10:22
Last Modified: 13 Mar 2020 16:19
URI: https://archive.lstmed.ac.uk/id/eprint/5000

Statistics

View details

Actions (login required)

Edit Item Edit Item