Population Attributable and Preventable Fractions: Cancer Risk Factor Surveillance, and Cancer Policy Projection
Identifieur interne : 001935 ( Main/Curation ); précédent : 001934; suivant : 001936Population Attributable and Preventable Fractions: Cancer Risk Factor Surveillance, and Cancer Policy Projection
Auteurs : Kevin D. Shield [France] ; D. Maxwell Parkin [Royaume-Uni] ; David C. Whiteman [Australie] ; Jürgen Rehm [Canada] ; Vivian Viallon [France] ; Claire Marant Micallef [France] ; Paolo Vineis [Italie, Royaume-Uni] ; Lesley Rushton [Royaume-Uni] ; Freddie Bray [France] ; Isabelle Soerjomataram [France]Source :
- Current epidemiology reports [ 2196-2995 ] ; 2016.
Abstract
The proportions of new cancer cases and deaths that are caused by exposure to risk factors and that could be prevented are key statistics for public health policy and planning. This paper summarizes the methodologies for estimating, challenges in the analysis of, and utility of, population attributable and preventable fractions for cancers caused by major risk factors such as tobacco smoking, dietary factors, high body fat, physical inactivity, alcohol consumption, infectious agents, occupational exposure, air pollution, sun exposure, and insufficient breastfeeding. For population attributable and preventable fractions, evidence of a causal relationship between a risk factor and cancer, outcome (such as incidence and mortality), exposure distribution, relative risk, theoretical-minimum-risk, and counterfactual scenarios need to be clearly defined and congruent. Despite limitations of the methodology and the data used for estimations, the population attributable and preventable fractions are a useful tool for public health policy and planning.
Url:
DOI: 10.1007/s40471-016-0085-5
PubMed: 27547696
PubMed Central: 4990141
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PMC:4990141Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">The proportions of new cancer cases and deaths that are caused by exposure to risk factors and that could be prevented are key statistics for public health policy and planning. This paper summarizes the methodologies for estimating, challenges in the analysis of, and utility of, population attributable and preventable fractions for cancers caused by major risk factors such as tobacco smoking, dietary factors, high body fat, physical inactivity, alcohol consumption, infectious agents, occupational exposure, air pollution, sun exposure, and insufficient breastfeeding. For population attributable and preventable fractions, evidence of a causal relationship between a risk factor and cancer, outcome (such as incidence and mortality), exposure distribution, relative risk, theoretical-minimum-risk, and counterfactual scenarios need to be clearly defined and congruent. Despite limitations of the methodology and the data used for estimations, the population attributable and preventable fractions are a useful tool for public health policy and planning.</p>
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