Literature DB >> 27325069

A Review of Medication Use as an Indicator of Human Health Impact in Environmentally Stressed Areas.

Samantha A Hollingworth1, Diane Dabok Kim2, Paul Jagals3.   

Abstract

We reviewed from literature the feasibility of medication use as an indicator of health outcomes in environmentally stressed areas, especially where a paucity of typical epidemiological and other risk-based data are encountered. The majority of studies reported were about medication use as an indicator of adverse respiratory effects from air pollution in developed countries. Studies to a lesser extent pointed to medication use as indicator of health outcomes associated with other environmental health stressors such as water, noise pollution, and habitat conditions. The relationship between environmental stressors and medication use strongly suggests that medication use could be used to measure the impact of environmental stressors that otherwise could not be measured by epidemiological or other impact assessment studies, typically in settings where morbidity and mortality data might not be not accessible.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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Keywords:  adverse health outcomes; environmental health indicators; environmental stressors; environmentally stressed areas; medication use

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Year:  2016        PMID: 27325069     DOI: 10.1016/j.aogh.2016.01.010

Source DB:  PubMed          Journal:  Ann Glob Health        ISSN: 2214-9996            Impact factor:   2.462


  1 in total

1.  The role of aircraft noise annoyance and noise sensitivity in the association between aircraft noise levels and medication use: results of a pooled-analysis from seven European countries.

Authors:  Clémence Baudin; Marie Lefèvre; Wolfgang Babisch; Ennio Cadum; Patricia Champelovier; Konstantina Dimakopoulou; Danny Houthuijs; Jacques Lambert; Bernard Laumon; Göran Pershagen; Stephen Stansfeld; Venetia Velonaki; Anna L Hansell; Anne-Sophie Evrard
Journal:  BMC Public Health       Date:  2021-02-05       Impact factor: 3.295

  1 in total

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