Productivity Loss at Work; Health-Related and Work-Related Factors
Introduction Productivity loss is an increasing problem in an aging working population that is decreasing in numbers. The aim of this study is to identify work-related and health-related characteristics associated with productivity loss, due to either sickness absence or reduced performance at work....
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| Veröffentlicht in: | Journal of occupational rehabilitation 2010-09, Vol.20 (3), p.331-339 |
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| creator | van den Heuvel, Swenne G. Geuskens, Goedele A. Hooftman, Wendela E. Koppes, Lando L. J. van den Bossche, Seth N. J. |
| description | Introduction
Productivity loss is an increasing problem in an aging working population that is decreasing in numbers. The aim of this study is to identify work-related and health-related characteristics associated with productivity loss, due to either sickness absence or reduced performance at work.
Methods
In this cross-sectional study, data of the Netherlands Working Conditions Survey of 2007 were used, which includes a national representative sample of 22,759 employees aged 15 to 64 years. Demographic characteristics, health-related and work-related factors were assessed with a questionnaire. Logistic regression analyses were carried out to study the relationship of work-related and health-related factors with low performance at work and sickness absence in the past 12 months.
Results
Poor general health, the number of longstanding health conditions, and most types of longstanding health conditions were associated with productivity loss. Health-related factors were in general stronger associated with sickness absence than with low performance at work. Performance: poor health OR 1.54 CI 1.38–1.71, >1 health conditions OR 1.21 CI 1.09–1.35; sickness absence: poor health OR 2.62 CI 2.33–2.93, >1 health conditions OR 2.47 CI 2.21–2.75. Of the different types of longstanding health conditions, only psychological complaints and to a small extent musculoskeletal symptoms, were associated with low performance (respectively OR 1.54 CI 1.27–1.87; OR 1.09 CI 1.00–1.18). Low performance at work was less likely among employees with high physically demanding work (shift work OR 0.70 CI 0.63–0.76, using force OR 0.78 CI 0.72–0.84, and repetitive movements OR 0.74 CI 0.70–0.79). Psychosocial factors were stronger associated with low performance at work than with sickness absence (performance: job autonomy OR 1.28 CI 1.21–1.37, job demands OR 1.23 CI 1.16–1.31, emotionally demanding work OR 1.73 CI 1.62–1.85; sickness absence: job autonomy ns, job demands OR 1.09 CI 1.03–1.17, emotionally demanding work OR 1.09 CI 1.02–1.16).
Conclusion
Except for psychological complaints, workers with a longstanding health condition generally perform well while being at work. Nevertheless, the likelihood of taking sick leave is increased. Among work-related factors, psychosocial work characteristics have the strongest relation with productivity loss, mostly with performance while at work. |
| doi_str_mv | 10.1007/s10926-009-9219-7 |
| format | Article |
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Productivity loss is an increasing problem in an aging working population that is decreasing in numbers. The aim of this study is to identify work-related and health-related characteristics associated with productivity loss, due to either sickness absence or reduced performance at work.
Methods
In this cross-sectional study, data of the Netherlands Working Conditions Survey of 2007 were used, which includes a national representative sample of 22,759 employees aged 15 to 64 years. Demographic characteristics, health-related and work-related factors were assessed with a questionnaire. Logistic regression analyses were carried out to study the relationship of work-related and health-related factors with low performance at work and sickness absence in the past 12 months.
Results
Poor general health, the number of longstanding health conditions, and most types of longstanding health conditions were associated with productivity loss. Health-related factors were in general stronger associated with sickness absence than with low performance at work. Performance: poor health OR 1.54 CI 1.38–1.71, >1 health conditions OR 1.21 CI 1.09–1.35; sickness absence: poor health OR 2.62 CI 2.33–2.93, >1 health conditions OR 2.47 CI 2.21–2.75. Of the different types of longstanding health conditions, only psychological complaints and to a small extent musculoskeletal symptoms, were associated with low performance (respectively OR 1.54 CI 1.27–1.87; OR 1.09 CI 1.00–1.18). Low performance at work was less likely among employees with high physically demanding work (shift work OR 0.70 CI 0.63–0.76, using force OR 0.78 CI 0.72–0.84, and repetitive movements OR 0.74 CI 0.70–0.79). Psychosocial factors were stronger associated with low performance at work than with sickness absence (performance: job autonomy OR 1.28 CI 1.21–1.37, job demands OR 1.23 CI 1.16–1.31, emotionally demanding work OR 1.73 CI 1.62–1.85; sickness absence: job autonomy ns, job demands OR 1.09 CI 1.03–1.17, emotionally demanding work OR 1.09 CI 1.02–1.16).
Conclusion
Except for psychological complaints, workers with a longstanding health condition generally perform well while being at work. Nevertheless, the likelihood of taking sick leave is increased. Among work-related factors, psychosocial work characteristics have the strongest relation with productivity loss, mostly with performance while at work.</description><identifier>ISSN: 1053-0487</identifier><identifier>EISSN: 1573-3688</identifier><identifier>DOI: 10.1007/s10926-009-9219-7</identifier><identifier>PMID: 19921406</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Absenteeism ; Adolescent ; Adult ; Analysis ; Arthritis ; Clinical Psychology ; Cross-Sectional Studies ; Efficiency ; Employees ; Employment ; Environmental Health ; Female ; Gender ; Health ; Health Psychology ; Health Status ; Humans ; Job Satisfaction ; Labor supply ; Logistic Models ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Netherlands ; Occupational Diseases - complications ; Occupational Diseases - psychology ; Occupational health ; Occupational Medicine/Industrial Medicine ; Orthopedics ; Population ; Productivity ; Professional Autonomy ; Psychological aspects ; Questionnaires ; Rehabilitation ; Shift work ; Sick leave ; Sick Leave - statistics & numerical data ; Studies ; Surveys and Questionnaires ; Work - statistics & numerical data ; Work environment ; Worker absenteeism ; Working conditions ; Young Adult</subject><ispartof>Journal of occupational rehabilitation, 2010-09, Vol.20 (3), p.331-339</ispartof><rights>Springer Science+Business Media, LLC 2009</rights><rights>COPYRIGHT 2010 Springer</rights><rights>Springer Science+Business Media, LLC 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-58b4a2e40730410f5c3babd48a086b3b6b1e4868997d9e5d1b3d45fcef11d0da3</citedby><cites>FETCH-LOGICAL-c503t-58b4a2e40730410f5c3babd48a086b3b6b1e4868997d9e5d1b3d45fcef11d0da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10926-009-9219-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10926-009-9219-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19921406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van den Heuvel, Swenne G.</creatorcontrib><creatorcontrib>Geuskens, Goedele A.</creatorcontrib><creatorcontrib>Hooftman, Wendela E.</creatorcontrib><creatorcontrib>Koppes, Lando L. J.</creatorcontrib><creatorcontrib>van den Bossche, Seth N. J.</creatorcontrib><title>Productivity Loss at Work; Health-Related and Work-Related Factors</title><title>Journal of occupational rehabilitation</title><addtitle>J Occup Rehabil</addtitle><addtitle>J Occup Rehabil</addtitle><description>Introduction
Productivity loss is an increasing problem in an aging working population that is decreasing in numbers. The aim of this study is to identify work-related and health-related characteristics associated with productivity loss, due to either sickness absence or reduced performance at work.
Methods
In this cross-sectional study, data of the Netherlands Working Conditions Survey of 2007 were used, which includes a national representative sample of 22,759 employees aged 15 to 64 years. Demographic characteristics, health-related and work-related factors were assessed with a questionnaire. Logistic regression analyses were carried out to study the relationship of work-related and health-related factors with low performance at work and sickness absence in the past 12 months.
Results
Poor general health, the number of longstanding health conditions, and most types of longstanding health conditions were associated with productivity loss. Health-related factors were in general stronger associated with sickness absence than with low performance at work. Performance: poor health OR 1.54 CI 1.38–1.71, >1 health conditions OR 1.21 CI 1.09–1.35; sickness absence: poor health OR 2.62 CI 2.33–2.93, >1 health conditions OR 2.47 CI 2.21–2.75. Of the different types of longstanding health conditions, only psychological complaints and to a small extent musculoskeletal symptoms, were associated with low performance (respectively OR 1.54 CI 1.27–1.87; OR 1.09 CI 1.00–1.18). Low performance at work was less likely among employees with high physically demanding work (shift work OR 0.70 CI 0.63–0.76, using force OR 0.78 CI 0.72–0.84, and repetitive movements OR 0.74 CI 0.70–0.79). Psychosocial factors were stronger associated with low performance at work than with sickness absence (performance: job autonomy OR 1.28 CI 1.21–1.37, job demands OR 1.23 CI 1.16–1.31, emotionally demanding work OR 1.73 CI 1.62–1.85; sickness absence: job autonomy ns, job demands OR 1.09 CI 1.03–1.17, emotionally demanding work OR 1.09 CI 1.02–1.16).
Conclusion
Except for psychological complaints, workers with a longstanding health condition generally perform well while being at work. Nevertheless, the likelihood of taking sick leave is increased. Among work-related factors, psychosocial work characteristics have the strongest relation with productivity loss, mostly with performance while at work.</description><subject>Absenteeism</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Analysis</subject><subject>Arthritis</subject><subject>Clinical Psychology</subject><subject>Cross-Sectional Studies</subject><subject>Efficiency</subject><subject>Employees</subject><subject>Employment</subject><subject>Environmental Health</subject><subject>Female</subject><subject>Gender</subject><subject>Health</subject><subject>Health Psychology</subject><subject>Health Status</subject><subject>Humans</subject><subject>Job Satisfaction</subject><subject>Labor supply</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Netherlands</subject><subject>Occupational Diseases - complications</subject><subject>Occupational Diseases - psychology</subject><subject>Occupational health</subject><subject>Occupational Medicine/Industrial Medicine</subject><subject>Orthopedics</subject><subject>Population</subject><subject>Productivity</subject><subject>Professional Autonomy</subject><subject>Psychological aspects</subject><subject>Questionnaires</subject><subject>Rehabilitation</subject><subject>Shift work</subject><subject>Sick leave</subject><subject>Sick Leave - statistics & numerical data</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Work - statistics & numerical data</subject><subject>Work environment</subject><subject>Worker absenteeism</subject><subject>Working conditions</subject><subject>Young Adult</subject><issn>1053-0487</issn><issn>1573-3688</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kV1LwzAUhoMofv8Ab6TodeZJkzYJXk1RJwwUUbwMaZLO6tbOJBP2783sUAQlFwnnPOcj74vQEYEBAeBngYDMSwwgscyJxHwD7ZKCU0xLITbTGwqKgQm-g_ZCeIUECp5vox0iE8-g3EUX976zCxObjyYus3EXQqZj9tz5t_Ns5PQ0vuAHN9XR2Uy39ivxHbjWJnY-HKCtWk-DO1zf--jp-urxcoTHdze3l8MxNgXQiAtRMZ07BpwCI1AXhla6skxoEGVFq7IijolSSMmtdIUlFbWsqI2rCbFgNd1HJ33fue_eFy5E9dotfJtGKs4E0LIgPEGnPTTRU6eatu6i12bWBKOGnDDJk2IkUYM_qHSsmzWma13dpPivAtIXGJ8k8q5Wc9_MtF8qAmrlheq9UElitfJCrVY5Xu-7qGbO_lSsxU9A3gMhpdqJ8z8f-r_rJ7QEkXY</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>van den Heuvel, Swenne G.</creator><creator>Geuskens, Goedele A.</creator><creator>Hooftman, Wendela E.</creator><creator>Koppes, Lando L. J.</creator><creator>van den Bossche, Seth N. J.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7T2</scope><scope>7TS</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88J</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2R</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20100901</creationdate><title>Productivity Loss at Work; Health-Related and Work-Related Factors</title><author>van den Heuvel, Swenne G. ; Geuskens, Goedele A. ; Hooftman, Wendela E. ; Koppes, Lando L. J. ; van den Bossche, Seth N. J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-58b4a2e40730410f5c3babd48a086b3b6b1e4868997d9e5d1b3d45fcef11d0da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Absenteeism</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Analysis</topic><topic>Arthritis</topic><topic>Clinical Psychology</topic><topic>Cross-Sectional Studies</topic><topic>Efficiency</topic><topic>Employees</topic><topic>Employment</topic><topic>Environmental Health</topic><topic>Female</topic><topic>Gender</topic><topic>Health</topic><topic>Health Psychology</topic><topic>Health Status</topic><topic>Humans</topic><topic>Job Satisfaction</topic><topic>Labor supply</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Netherlands</topic><topic>Occupational Diseases - complications</topic><topic>Occupational Diseases - psychology</topic><topic>Occupational health</topic><topic>Occupational Medicine/Industrial Medicine</topic><topic>Orthopedics</topic><topic>Population</topic><topic>Productivity</topic><topic>Professional Autonomy</topic><topic>Psychological aspects</topic><topic>Questionnaires</topic><topic>Rehabilitation</topic><topic>Shift work</topic><topic>Sick leave</topic><topic>Sick Leave - statistics & numerical data</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Work - statistics & numerical data</topic><topic>Work environment</topic><topic>Worker absenteeism</topic><topic>Working conditions</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van den Heuvel, Swenne G.</creatorcontrib><creatorcontrib>Geuskens, Goedele A.</creatorcontrib><creatorcontrib>Hooftman, Wendela E.</creatorcontrib><creatorcontrib>Koppes, Lando L. 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J.</au><au>van den Bossche, Seth N. J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Productivity Loss at Work; Health-Related and Work-Related Factors</atitle><jtitle>Journal of occupational rehabilitation</jtitle><stitle>J Occup Rehabil</stitle><addtitle>J Occup Rehabil</addtitle><date>2010-09-01</date><risdate>2010</risdate><volume>20</volume><issue>3</issue><spage>331</spage><epage>339</epage><pages>331-339</pages><issn>1053-0487</issn><eissn>1573-3688</eissn><abstract>Introduction
Productivity loss is an increasing problem in an aging working population that is decreasing in numbers. The aim of this study is to identify work-related and health-related characteristics associated with productivity loss, due to either sickness absence or reduced performance at work.
Methods
In this cross-sectional study, data of the Netherlands Working Conditions Survey of 2007 were used, which includes a national representative sample of 22,759 employees aged 15 to 64 years. Demographic characteristics, health-related and work-related factors were assessed with a questionnaire. Logistic regression analyses were carried out to study the relationship of work-related and health-related factors with low performance at work and sickness absence in the past 12 months.
Results
Poor general health, the number of longstanding health conditions, and most types of longstanding health conditions were associated with productivity loss. Health-related factors were in general stronger associated with sickness absence than with low performance at work. Performance: poor health OR 1.54 CI 1.38–1.71, >1 health conditions OR 1.21 CI 1.09–1.35; sickness absence: poor health OR 2.62 CI 2.33–2.93, >1 health conditions OR 2.47 CI 2.21–2.75. Of the different types of longstanding health conditions, only psychological complaints and to a small extent musculoskeletal symptoms, were associated with low performance (respectively OR 1.54 CI 1.27–1.87; OR 1.09 CI 1.00–1.18). Low performance at work was less likely among employees with high physically demanding work (shift work OR 0.70 CI 0.63–0.76, using force OR 0.78 CI 0.72–0.84, and repetitive movements OR 0.74 CI 0.70–0.79). Psychosocial factors were stronger associated with low performance at work than with sickness absence (performance: job autonomy OR 1.28 CI 1.21–1.37, job demands OR 1.23 CI 1.16–1.31, emotionally demanding work OR 1.73 CI 1.62–1.85; sickness absence: job autonomy ns, job demands OR 1.09 CI 1.03–1.17, emotionally demanding work OR 1.09 CI 1.02–1.16).
Conclusion
Except for psychological complaints, workers with a longstanding health condition generally perform well while being at work. Nevertheless, the likelihood of taking sick leave is increased. Among work-related factors, psychosocial work characteristics have the strongest relation with productivity loss, mostly with performance while at work.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>19921406</pmid><doi>10.1007/s10926-009-9219-7</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1053-0487 |
| ispartof | Journal of occupational rehabilitation, 2010-09, Vol.20 (3), p.331-339 |
| issn | 1053-0487 1573-3688 |
| language | eng |
| recordid | cdi_proquest_journals_748036517 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Absenteeism Adolescent Adult Analysis Arthritis Clinical Psychology Cross-Sectional Studies Efficiency Employees Employment Environmental Health Female Gender Health Health Psychology Health Status Humans Job Satisfaction Labor supply Logistic Models Male Medicine Medicine & Public Health Middle Aged Netherlands Occupational Diseases - complications Occupational Diseases - psychology Occupational health Occupational Medicine/Industrial Medicine Orthopedics Population Productivity Professional Autonomy Psychological aspects Questionnaires Rehabilitation Shift work Sick leave Sick Leave - statistics & numerical data Studies Surveys and Questionnaires Work - statistics & numerical data Work environment Worker absenteeism Working conditions Young Adult |
| title | Productivity Loss at Work; Health-Related and Work-Related Factors |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T17%3A23%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Productivity%20Loss%20at%20Work;%20Health-Related%20and%20Work-Related%20Factors&rft.jtitle=Journal%20of%20occupational%20rehabilitation&rft.au=van%20den%20Heuvel,%20Swenne%20G.&rft.date=2010-09-01&rft.volume=20&rft.issue=3&rft.spage=331&rft.epage=339&rft.pages=331-339&rft.issn=1053-0487&rft.eissn=1573-3688&rft_id=info:doi/10.1007/s10926-009-9219-7&rft_dat=%3Cgale_proqu%3EA714970921%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=748036517&rft_id=info:pmid/19921406&rft_galeid=A714970921&rfr_iscdi=true |