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Considerations of circadian impact for defining ‘shift work’ in cancer studies: IARC Working Group Report

Identifieur interne : 000C79 ( Istex/Corpus ); précédent : 000C78; suivant : 000C80

Considerations of circadian impact for defining ‘shift work’ in cancer studies: IARC Working Group Report

Auteurs : Richard G. Stevens ; Johnni Hansen ; Giovanni Costa ; Erhard Haus ; Timo Kauppinen ; Kristan J. Aronson ; Gemma Casta O-Vinyals ; Scott Davis ; Monique H W. Frings-Dresen ; Lin Fritschi ; Manolis Kogevinas ; Kazutaka Kogi ; Jenny-Anne Lie ; Arne Lowden ; Beata Peplonska ; Beate Pesch ; Eero Pukkala ; Eva Schernhammer ; Ruth C. Travis ; Roel Vermeulen ; Tongzhang Zheng ; Vincent Cogliano ; Kurt Straif

Source :

RBID : ISTEX:444A5CCC5C48E7F52F9BBDC7C54C9CFC9CA006FA

English descriptors

Abstract

Based on the idea that electric light at night might account for a portion of the high and rising risk of breast cancer worldwide, it was predicted long ago that women working a non-day shift would be at higher risk compared with day-working women. This hypothesis has been extended more recently to prostate cancer. On the basis of limited human evidence and sufficient evidence in experimental animals, in 2007 the International Agency for Research on Cancer (IARC) classified ‘shift work that involves circadian disruption’ as a probable human carcinogen, group 2A. A limitation of the epidemiological studies carried out to date is in the definition of ‘shift work.’ IARC convened a workshop in April 2009 to consider how ‘shift work’ should be assessed and what domains of occupational history need to be quantified for more valid studies of shift work and cancer in the future. The working group identified several major domains of non-day shifts and shift schedules that should be captured in future studies: (1) shift system (start time of shift, number of hours per day, rotating or permanent, speed and direction of a rotating system, regular or irregular); (2) years on a particular non-day shift schedule (and cumulative exposure to the shift system over the subject's working life); and (3) shift intensity (time off between successive work days on the shift schedule). The group also recognised that for further domains to be identified, more research needs to be conducted on the impact of various shift schedules and routines on physiological and circadian rhythms of workers in real-world environments.

Url:
DOI: 10.1136/oem.2009.053512

Links to Exploration step

ISTEX:444A5CCC5C48E7F52F9BBDC7C54C9CFC9CA006FA

Le document en format XML

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<name sortKey="Peplonska, Beata" sort="Peplonska, Beata" uniqKey="Peplonska B" first="Beata" last="Peplonska">Beata Peplonska</name>
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<name sortKey="Pesch, Beate" sort="Pesch, Beate" uniqKey="Pesch B" first="Beate" last="Pesch">Beate Pesch</name>
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<name sortKey="Pukkala, Eero" sort="Pukkala, Eero" uniqKey="Pukkala E" first="Eero" last="Pukkala">Eero Pukkala</name>
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<name sortKey="Schernhammer, Eva" sort="Schernhammer, Eva" uniqKey="Schernhammer E" first="Eva" last="Schernhammer">Eva Schernhammer</name>
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<name sortKey="Travis, Ruth C" sort="Travis, Ruth C" uniqKey="Travis R" first="Ruth C" last="Travis">Ruth C. Travis</name>
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<name sortKey="Vermeulen, Roel" sort="Vermeulen, Roel" uniqKey="Vermeulen R" first="Roel" last="Vermeulen">Roel Vermeulen</name>
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<name sortKey="Zheng, Tongzhang" sort="Zheng, Tongzhang" uniqKey="Zheng T" first="Tongzhang" last="Zheng">Tongzhang Zheng</name>
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<name sortKey="Cogliano, Vincent" sort="Cogliano, Vincent" uniqKey="Cogliano V" first="Vincent" last="Cogliano">Vincent Cogliano</name>
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<name sortKey="Vermeulen, Roel" sort="Vermeulen, Roel" uniqKey="Vermeulen R" first="Roel" last="Vermeulen">Roel Vermeulen</name>
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<mods:affiliation>University of Utrecht, Utrecht, The Netherlands</mods:affiliation>
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<name sortKey="Zheng, Tongzhang" sort="Zheng, Tongzhang" uniqKey="Zheng T" first="Tongzhang" last="Zheng">Tongzhang Zheng</name>
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<mods:affiliation>Yale University School of Medicine, New Haven, Connecticut, USA</mods:affiliation>
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<term>Connecticut health center</term>
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<term>Cumulative exposure</term>
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<term>Environ</term>
<term>Epidemiological</term>
<term>Epidemiological studies</term>
<term>Epidemiology</term>
<term>European union</term>
<term>Experimental animals</term>
<term>Exposure assessment</term>
<term>Exposure matrix</term>
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<article-title>Considerations of circadian impact for defining ‘shift work’ in cancer studies: IARC Working Group Report</article-title>
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<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Stevens</surname>
<given-names>Richard G</given-names>
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<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hansen</surname>
<given-names>Johnni</given-names>
</name>
<xref ref-type="aff" rid="aff2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Costa</surname>
<given-names>Giovanni</given-names>
</name>
<xref ref-type="aff" rid="aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Haus</surname>
<given-names>Erhard</given-names>
</name>
<xref ref-type="aff" rid="aff4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kauppinen</surname>
<given-names>Timo</given-names>
</name>
<xref ref-type="aff" rid="aff5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aronson</surname>
<given-names>Kristan J</given-names>
</name>
<xref ref-type="aff" rid="aff6">6</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Castaño-Vinyals</surname>
<given-names>Gemma</given-names>
</name>
<xref ref-type="aff" rid="aff7">7</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Davis</surname>
<given-names>Scott</given-names>
</name>
<xref ref-type="aff" rid="aff8">8</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Frings-Dresen</surname>
<given-names>Monique H W</given-names>
</name>
<xref ref-type="aff" rid="aff9">9</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fritschi</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff10">10</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kogevinas</surname>
<given-names>Manolis</given-names>
</name>
<xref ref-type="aff" rid="aff11">11</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kogi</surname>
<given-names>Kazutaka</given-names>
</name>
<xref ref-type="aff" rid="aff12">12</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lie</surname>
<given-names>Jenny-Anne</given-names>
</name>
<xref ref-type="aff" rid="aff13">13</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lowden</surname>
<given-names>Arne</given-names>
</name>
<xref ref-type="aff" rid="aff14">14</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peplonska</surname>
<given-names>Beata</given-names>
</name>
<xref ref-type="aff" rid="aff15">15</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pesch</surname>
<given-names>Beate</given-names>
</name>
<xref ref-type="aff" rid="aff16">16</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pukkala</surname>
<given-names>Eero</given-names>
</name>
<xref ref-type="aff" rid="aff17">17</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schernhammer</surname>
<given-names>Eva</given-names>
</name>
<xref ref-type="aff" rid="aff18">18</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Travis</surname>
<given-names>Ruth C</given-names>
</name>
<xref ref-type="aff" rid="aff19">19</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vermeulen</surname>
<given-names>Roel</given-names>
</name>
<xref ref-type="aff" rid="aff20">20</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Tongzhang</given-names>
</name>
<xref ref-type="aff" rid="aff21">21</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cogliano</surname>
<given-names>Vincent</given-names>
</name>
<xref ref-type="aff" rid="aff22">22</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Straif</surname>
<given-names>Kurt</given-names>
</name>
<xref ref-type="aff" rid="aff22">22</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
University of Connecticut Health Center, Farmington, Connecticut, USA</aff>
<aff id="aff2">
<label>2</label>
Danish Cancer Society, Copenhagen, Denmark</aff>
<aff id="aff3">
<label>3</label>
University of Milan, Milan, Italy</aff>
<aff id="aff4">
<label>4</label>
University of Minnesota, HealthPartners Medical Group, St Paul, Minnesota, USA</aff>
<aff id="aff5">
<label>5</label>
Finnish Institute of Occupational Health, Helsinki, Finland</aff>
<aff id="aff6">
<label>6</label>
Queen's University, Ontario, Canada</aff>
<aff id="aff7">
<label>7</label>
Centre for Research in Environmental Epidemiology (CREAL) and Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain</aff>
<aff id="aff8">
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Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</aff>
<aff id="aff9">
<label>9</label>
Academic Medical Center (AMC) Amsterdam, Amsterdam, The Netherlands</aff>
<aff id="aff10">
<label>10</label>
Western Australian Institute for Medical Research, University of Western Australia, Nedlands, Australia</aff>
<aff id="aff11">
<label>11</label>
Municipal Institute of Medical Research (IMIM), Barcelona, Spain</aff>
<aff id="aff12">
<label>12</label>
Institute for Science of Labour, Kawasaki, Japan</aff>
<aff id="aff13">
<label>13</label>
National Institute of Occupational Health, Oslo, Norway</aff>
<aff id="aff14">
<label>14</label>
Stockholm University, Stockholm, Sweden</aff>
<aff id="aff15">
<label>15</label>
Nofer Institute of Occupational Medicine, Lodz, Poland</aff>
<aff id="aff16">
<label>16</label>
Ruhr-University Bochum, Bochum, Germany</aff>
<aff id="aff17">
<label>17</label>
Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland</aff>
<aff id="aff18">
<label>18</label>
Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA</aff>
<aff id="aff19">
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Cancer Epidemiology Unit, University of Oxford, Oxford, UK</aff>
<aff id="aff20">
<label>20</label>
University of Utrecht, Utrecht, The Netherlands</aff>
<aff id="aff21">
<label>21</label>
Yale University School of Medicine, New Haven, Connecticut, USA</aff>
<aff id="aff22">
<label>22</label>
International Agency for Research on Cancer, World Health Organization, Lyon, France</aff>
<author-notes>
<corresp>
<label>Correspondence to</label>
Dr Richard G Stevens, University of Connecticut Health Center, Farmington, CT 06030, USA;
<email>bugs@uchc.edu</email>
or Kurt Straif, International Agency for Research on Cancer, World Health Organization, Lyon Cedex, France;
<email>straif@iarc.fr</email>
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<p>Based on the idea that electric light at night might account for a portion of the high and rising risk of breast cancer worldwide, it was predicted long ago that women working a non-day shift would be at higher risk compared with day-working women. This hypothesis has been extended more recently to prostate cancer. On the basis of limited human evidence and sufficient evidence in experimental animals, in 2007 the International Agency for Research on Cancer (IARC) classified ‘shift work that involves circadian disruption’ as a probable human carcinogen, group 2A. A limitation of the epidemiological studies carried out to date is in the definition of ‘shift work.’ IARC convened a workshop in April 2009 to consider how ‘shift work’ should be assessed and what domains of occupational history need to be quantified for more valid studies of shift work and cancer in the future. The working group identified several major domains of non-day shifts and shift schedules that should be captured in future studies: (1) shift system (start time of shift, number of hours per day, rotating or permanent, speed and direction of a rotating system, regular or irregular); (2) years on a particular non-day shift schedule (and cumulative exposure to the shift system over the subject's working life); and (3) shift intensity (time off between successive work days on the shift schedule). The group also recognised that for further domains to be identified, more research needs to be conducted on the impact of various shift schedules and routines on physiological and circadian rhythms of workers in real-world environments.</p>
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<abstract>Based on the idea that electric light at night might account for a portion of the high and rising risk of breast cancer worldwide, it was predicted long ago that women working a non-day shift would be at higher risk compared with day-working women. This hypothesis has been extended more recently to prostate cancer. On the basis of limited human evidence and sufficient evidence in experimental animals, in 2007 the International Agency for Research on Cancer (IARC) classified ‘shift work that involves circadian disruption’ as a probable human carcinogen, group 2A. A limitation of the epidemiological studies carried out to date is in the definition of ‘shift work.’ IARC convened a workshop in April 2009 to consider how ‘shift work’ should be assessed and what domains of occupational history need to be quantified for more valid studies of shift work and cancer in the future. The working group identified several major domains of non-day shifts and shift schedules that should be captured in future studies: (1) shift system (start time of shift, number of hours per day, rotating or permanent, speed and direction of a rotating system, regular or irregular); (2) years on a particular non-day shift schedule (and cumulative exposure to the shift system over the subject's working life); and (3) shift intensity (time off between successive work days on the shift schedule). The group also recognised that for further domains to be identified, more research needs to be conducted on the impact of various shift schedules and routines on physiological and circadian rhythms of workers in real-world environments.</abstract>
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<topic>Circadian disruption</topic>
<topic>cancer</topic>
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<identifier type="DOI">10.1136/oem.2009.053512</identifier>
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<identifier type="PMID">20962033</identifier>
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