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International variation in absence from work attributed to musculoskeletal illness: findings from the CUPID study

Identifieur interne : 000C10 ( Istex/Corpus ); précédent : 000C09; suivant : 000C11

International variation in absence from work attributed to musculoskeletal illness: findings from the CUPID study

Auteurs : David Coggon ; Georgia Ntani ; Sergio Vargas-Prada ; José Miguel Martinez ; Consol Serra ; Fernando G. Benavides ; Keith T. Palmer ; Vanda E. Felli ; Raul Harari ; Lope H. Barrero ; Sarah A. Felknor ; David Gimeno ; Anna Cattrell ; Matteo Bonzini ; Eleni Solidaki ; Eda Merisalu ; Rima R. Habib ; Farideh Sadeghian ; M Masood Kadir ; Sudath Sp Warnakulasuriya ; Ko Matsudaira ; Busisiwe Nyantumbu ; Malcolm R. Sim ; Helen Harcombe ; Ken Cox ; Maria H. Marziale ; Leila M. Sarquis ; Florencia Harari ; Rocio Freire ; Natalia Harari ; Magda V. Monroy ; Leonardo A. Quintana ; Marianela Rojas ; Eduardo J. Salazar Vega ; E Clare Harris ; George Delclos ; Michele Carugno ; Marco M. Ferrario ; Angela C. Pesatori ; Leda Chatzi ; Panos Bitsios ; Manolis Kogevinas ; Kristel Oha ; Tuuli Sirk ; Ali Sadeghian ; Roshini J. Peiris-John ; Nalini Sathiakumar ; A Rajitha Wickremasinghe ; Noriko Yoshimura ; Helen L. Kelsall ; Victor C W. Hoe ; Donna M. Urquhart ; Sarah Derrett ; David Mcbride ; Peter Herbison ; Andrew Gray

Source :

RBID : ISTEX:AF42CFD9D6E5BDA10539AC8A0D7CACDB36AFB602

Abstract

Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92–1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees’ responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.

Url:
DOI: 10.1136/oemed-2012-101316

Links to Exploration step

ISTEX:AF42CFD9D6E5BDA10539AC8A0D7CACDB36AFB602

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<div type="abstract">Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92–1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees’ responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.</div>
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<title level="j">Occupational and Environmental Medicine</title>
<title level="j" type="abbrev">Occup Environ Med</title>
<idno type="pISSN">1351-0711</idno>
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<p>Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92–1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees’ responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.</p>
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<journal-id journal-id-type="hwp">oemed</journal-id>
<journal-id journal-id-type="nlm-ta">Occup Environ Med</journal-id>
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<journal-title>Occupational and Environmental Medicine</journal-title>
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<subject>Workplace</subject>
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<title-group>
<article-title>International variation in absence from work attributed to musculoskeletal illness: findings from the CUPID study</article-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Coggon</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="af1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ntani</surname>
<given-names>Georgia</given-names>
</name>
<xref ref-type="aff" rid="af1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vargas-Prada</surname>
<given-names>Sergio</given-names>
</name>
<xref ref-type="aff" rid="af2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Martinez</surname>
<given-names>José Miguel</given-names>
</name>
<xref ref-type="aff" rid="af2">2</xref>
<xref ref-type="aff" rid="af3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Serra</surname>
<given-names>Consol</given-names>
</name>
<xref ref-type="aff" rid="af2">2</xref>
<xref ref-type="aff" rid="af3">3</xref>
<xref ref-type="aff" rid="af4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Benavides</surname>
<given-names>Fernando G</given-names>
</name>
<xref ref-type="aff" rid="af2">2</xref>
<xref ref-type="aff" rid="af3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palmer</surname>
<given-names>Keith T</given-names>
</name>
<xref ref-type="aff" rid="af1">1</xref>
</contrib>
<contrib contrib-type="author">
<collab>and other members of the CUPID Collaboration</collab>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Felli</surname>
<given-names>Vanda E</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Harari</surname>
<given-names>Raul</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Barrero</surname>
<given-names>Lope H</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Felknor</surname>
<given-names>Sarah A.</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Gimeno</surname>
<given-names>David</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Cattrell</surname>
<given-names>Anna</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Bonzini</surname>
<given-names>Matteo</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Solidaki</surname>
<given-names>Eleni</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Merisalu</surname>
<given-names>Eda</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Habib</surname>
<given-names>Rima R.</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sadeghian</surname>
<given-names>Farideh</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Kadir</surname>
<given-names>M Masood</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Warnakulasuriya</surname>
<given-names>Sudath SP</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Matsudaira</surname>
<given-names>Ko</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Nyantumbu</surname>
<given-names>Busisiwe</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sim</surname>
<given-names>Malcolm R</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Harcombe</surname>
<given-names>Helen</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Cox</surname>
<given-names>Ken</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Marziale</surname>
<given-names>Maria H</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sarquis</surname>
<given-names>Leila M</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Harari</surname>
<given-names>Florencia</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Freire</surname>
<given-names>Rocio</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Harari</surname>
<given-names>Natalia</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Monroy</surname>
<given-names>Magda V</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Quintana</surname>
<given-names>Leonardo A</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Rojas</surname>
<given-names>Marianela</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Vega</surname>
<given-names>Eduardo J. Salazar</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Harris</surname>
<given-names>E Clare</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Delclos</surname>
<given-names>George</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Carugno</surname>
<given-names>Michele</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Ferrario</surname>
<given-names>Marco M</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Pesatori</surname>
<given-names>Angela C</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Chatzi</surname>
<given-names>Leda</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Bitsios</surname>
<given-names>Panos</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Kogevinas</surname>
<given-names>Manolis</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Oha</surname>
<given-names>Kristel</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sirk</surname>
<given-names>Tuuli</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sadeghian</surname>
<given-names>Ali</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Peiris-John</surname>
<given-names>Roshini J</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Sathiakumar</surname>
<given-names>Nalini</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Wickremasinghe</surname>
<given-names>A Rajitha</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Yoshimura</surname>
<given-names>Noriko</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Kelsall</surname>
<given-names>Helen L</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Hoe</surname>
<given-names>Victor C W</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Urquhart</surname>
<given-names>Donna M</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Derrett</surname>
<given-names>Sarah</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>McBride</surname>
<given-names>David</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Herbison</surname>
<given-names>Peter</given-names>
</name>
</contrib>
<contrib contrib-type="author non-byline">
<name>
<surname>Gray</surname>
<given-names>Andrew</given-names>
</name>
</contrib>
</contrib-group>
<aff id="af1">
<label>1</label>
<addr-line>Medical Research Council Lifecourse Epidemiology Unit</addr-line>
,
<institution>University of Southampton</institution>
,
<addr-line>Southampton</addr-line>
,
<country>UK</country>
</aff>
<aff id="af2">
<label>2</label>
<institution>Center for Research in Occupational Health (CiSAL), Universitat Pompeu Fabra</institution>
,
<addr-line>Barcelona</addr-line>
,
<country>Spain</country>
</aff>
<aff id="af3">
<label>3</label>
<institution>CIBER of Epidemiology and Public Health</institution>
,
<addr-line>Barcelona</addr-line>
,
<country>Spain</country>
</aff>
<aff id="af4">
<label>4</label>
<institution>Occupational Health Service, Parc de Salut MAR</institution>
,
<addr-line>Barcelona</addr-line>
,
<country>Spain</country>
</aff>
<author-notes>
<corresp>
<label>Correspondence to</label>
Professor David Coggon, Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, Southampton SO16 6YD, UK;
<email>dnc@mrc.soton.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>8</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub-original">
<day>21</day>
<month>5</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>5</month>
<year>2013</year>
</pub-date>
<volume>70</volume>
<volume-id pub-id-type="other">70</volume-id>
<volume-id pub-id-type="other">70</volume-id>
<issue>8</issue>
<issue-id pub-id-type="other">oemed;70/8</issue-id>
<issue-id pub-id-type="other">8</issue-id>
<issue-id pub-id-type="other">70/8</issue-id>
<fpage>575</fpage>
<history>
<date date-type="received">
<day>14</day>
<month>12</month>
<year>2012</year>
</date>
<date date-type="rev-recd">
<day>9</day>
<month>4</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>4</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/">
<p>This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>
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<abstract>
<sec>
<title>Objectives</title>
<p>To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences.</p>
</sec>
<sec>
<title>Methods</title>
<p>A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92–1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees’ responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.</p>
</sec>
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<abstract>Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and group-level risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92–1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12-month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees’ responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.</abstract>
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