Population Attributable and Preventable Fractions: Cancer Risk Factor Surveillance, and Cancer Policy Projection
Identifieur interne : 001E92 ( Pmc/Corpus ); précédent : 001E91; suivant : 001E93Population Attributable and Preventable Fractions: Cancer Risk Factor Surveillance, and Cancer Policy Projection
Auteurs : Kevin D. Shield ; D. Maxwell Parkin ; David C. Whiteman ; Jürgen Rehm ; Vivian Viallon ; Claire Marant Micallef ; Paolo Vineis ; Lesley Rushton ; Freddie Bray ; Isabelle SoerjomataramSource :
- 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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<author><name sortKey="Rehm, Jurgen" sort="Rehm, Jurgen" uniqKey="Rehm J" first="Jürgen" last="Rehm">Jürgen Rehm</name>
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<author><name sortKey="Viallon, Vivian" sort="Viallon, Vivian" uniqKey="Viallon V" first="Vivian" last="Viallon">Vivian Viallon</name>
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<series><title level="j">Current epidemiology reports</title>
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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>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101626185</journal-id>
<journal-id journal-id-type="pubmed-jr-id">42560</journal-id>
<journal-id journal-id-type="nlm-ta">Curr Epidemiol Rep</journal-id>
<journal-id journal-id-type="iso-abbrev">Curr Epidemiol Rep</journal-id>
<journal-title-group><journal-title>Current epidemiology reports</journal-title>
</journal-title-group>
<issn pub-type="epub">2196-2995</issn>
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<article-id pub-id-type="pmc">4990141</article-id>
<article-id pub-id-type="doi">10.1007/s40471-016-0085-5</article-id>
<article-id pub-id-type="manuscript">HHSPA807501</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Population Attributable and Preventable Fractions: Cancer Risk Factor Surveillance, and Cancer Policy Projection</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Shield</surname>
<given-names>Kevin D.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Parkin</surname>
<given-names>D. Maxwell</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Whiteman</surname>
<given-names>David C.</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rehm</surname>
<given-names>Jürgen</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Viallon</surname>
<given-names>Vivian</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Micallef</surname>
<given-names>Claire Marant</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Vineis</surname>
<given-names>Paolo</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
<xref ref-type="aff" rid="A7">7</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rushton</surname>
<given-names>Lesley</given-names>
</name>
<xref ref-type="aff" rid="A8">8</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Bray</surname>
<given-names>Freddie</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Soerjomataram</surname>
<given-names>Isabelle</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
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<aff id="A1"><label>1</label>
Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France</aff>
<aff id="A2"><label>2</label>
Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, United Kingdom</aff>
<aff id="A3"><label>3</label>
Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia</aff>
<aff id="A4"><label>4</label>
Social and Epidemiological Research Department, Centre for Addiction and Mental Health, Toronto, Canada</aff>
<aff id="A5"><label>5</label>
Université de Lyon, Université Lyon 1, UMRESTTE IFSTTAR, UMRESTTE, Lyon, France</aff>
<aff id="A6"><label>6</label>
HuGeF Foundation, Torino, Italy</aff>
<aff id="A7"><label>7</label>
MRC-PHE Center for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom</aff>
<aff id="A8"><label>8</label>
Faculty of Medicine, School of Public Health, Imperial College of London, London, United Kingdom</aff>
<author-notes><corresp id="cor1"><bold>Correspondence to:</bold>
Kevin D Shield, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372 Lyon CEDEX 08, France, Tel: +33 (0) 4 72 73 84 85, <email>shieldk@fellows.iarc.fr</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>6</day>
<month>8</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub"><day>1</day>
<month>8</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="ppub"><month>9</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>9</month>
<year>2017</year>
</pub-date>
<volume>3</volume>
<issue>3</issue>
<fpage>201</fpage>
<lpage>211</lpage>
<pmc-comment>elocation-id from pubmed: 10.1007/s40471-016-0085-5</pmc-comment>
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<abstract><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>
</abstract>
<kwd-group><kwd>Risk</kwd>
<kwd>Neoplasms</kwd>
<kwd>Etiology</kwd>
<kwd>Prevention and control</kwd>
<kwd>Mortality</kwd>
<kwd>Incidence</kwd>
<kwd>Population Attributable Fraction</kwd>
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