期刊
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
卷 33, 期 3, 页码 321-331出版社
SPRINGERNATURE
DOI: 10.1038/s41370-022-00449-2
关键词
Air pollution; Personal exposure; Health studies; Behaviour change
Air pollution causes 7 million premature deaths worldwide each year. Policy measures are slow to generate change, so individual actions are needed to reduce exposure to air pollution. Air quality indices are not always effective in instigating individual change. A combination of personalized air quality data and greater public engagement is necessary for promoting individual action.
Exposure to air pollution prematurely kills 7 million people globally every year. Policy measures designed to reduce emissions of pollutants, improve ambient air and consequently reduce health impacts, can be effective, but are generally slow to generate change. Individual actions can therefore supplement policy measures and more immediately reduce people's exposure to air pollution. Air quality indices (AQI) are used globally (though not universally) to translate complex air quality data into a single unitless metric, which can be paired with advice to encourage behaviour change. Here we explore, with reference to health behaviour theories, why these are frequently insufficient to instigate individual change. We examine the health behaviour theoretical steps linking air quality data with reduced air pollution exposure and (consequently) improved public health, arguing that a combination of more 'personalised' air quality data and greater public engagement with these data will together better support individual action. Based on this, we present a novel framework, which, when used to shape air quality interventions, has the potential to yield more effective and sustainable interventions to reduce individual exposures and thus reduce the global public health burden of air pollution.
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