324 Labour market trajectories and permanent disability. Study of prognostic factors
Objectives In the current context of increasing population ageing and after trends of labour market flexibilisation, this study analyses the impact of labour trajectories on the potential years of working life lost (PYWLL) due to non-work related permanent disability (PD). Methods Retrospective coho...
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description | Objectives In the current context of increasing population ageing and after trends of labour market flexibilisation, this study analyses the impact of labour trajectories on the potential years of working life lost (PYWLL) due to non-work related permanent disability (PD). Methods Retrospective cohort of 14,999 workers affiliated with the Social Security System in Spain that began a non-work related PD between 2004 and 2010. The PYWLL is defined as the time in years between the age at which a worker initiates a PD and the official retirement age (65 years) or the age of reinstatement to a job. Two indexes of labour trajectory were obtained by Principal Components Analysis: Index 1 (number of contracts, number of unemployment periods and number of periods without affiliation) and Index 2 (percentage of inactive time). Median differences in PYWLL (MD) and 95% confidence intervals (CI95%) were computed using a median regression. The main independent variable was obtained combining tertiles (low, medium, high) of index 1 and 2 ((Index 1, Index 2): (high, high), (high, low), [3DOTS], (low, low)) with category (low, low) as reference. Analysis were stratified by gender and adjusted by the total time elapsed by each worker in the labour trajectory. Results The median PYWLL was 8.7 for men and 11.0 for women. The greatest crude MD was for category (high, high) for men (MD:4.70, CI95%:3.88, 5.52) and (medium, high) for women (MD:4.09, CI95%:2.93, 5.25). The greatest adjusted difference in medians was for category (high, high) in men (MD:3.05, CI95%:2.64, 3.47) and in women (MD:3.68, CI95%:2.57, 4.68). Conclusion Workers with a labour trajectory corresponding to the highest indexes have the greatest loss of PYWLL due to non-work related PD. Greater labour market flexibilisation could mean a major loss of working years and therefore an advancement of age of disability in the coming years. |
doi_str_mv | 10.1136/oemed-2013-101717.324 |
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Study of prognostic factors</title><source>BMJ Journals - NESLi2</source><source>JSTOR</source><creator>Jordà, X. Duran ; Benavides ; Martínez, Martínez</creator><creatorcontrib>Jordà, X. Duran ; Benavides ; Martínez, Martínez</creatorcontrib><description>Objectives In the current context of increasing population ageing and after trends of labour market flexibilisation, this study analyses the impact of labour trajectories on the potential years of working life lost (PYWLL) due to non-work related permanent disability (PD). Methods Retrospective cohort of 14,999 workers affiliated with the Social Security System in Spain that began a non-work related PD between 2004 and 2010. The PYWLL is defined as the time in years between the age at which a worker initiates a PD and the official retirement age (65 years) or the age of reinstatement to a job. Two indexes of labour trajectory were obtained by Principal Components Analysis: Index 1 (number of contracts, number of unemployment periods and number of periods without affiliation) and Index 2 (percentage of inactive time). Median differences in PYWLL (MD) and 95% confidence intervals (CI95%) were computed using a median regression. The main independent variable was obtained combining tertiles (low, medium, high) of index 1 and 2 ((Index 1, Index 2): (high, high), (high, low), [3DOTS], (low, low)) with category (low, low) as reference. Analysis were stratified by gender and adjusted by the total time elapsed by each worker in the labour trajectory. Results The median PYWLL was 8.7 for men and 11.0 for women. The greatest crude MD was for category (high, high) for men (MD:4.70, CI95%:3.88, 5.52) and (medium, high) for women (MD:4.09, CI95%:2.93, 5.25). The greatest adjusted difference in medians was for category (high, high) in men (MD:3.05, CI95%:2.64, 3.47) and in women (MD:3.68, CI95%:2.57, 4.68). Conclusion Workers with a labour trajectory corresponding to the highest indexes have the greatest loss of PYWLL due to non-work related PD. Greater labour market flexibilisation could mean a major loss of working years and therefore an advancement of age of disability in the coming years.</description><identifier>ISSN: 1351-0711</identifier><identifier>EISSN: 1470-7926</identifier><identifier>DOI: 10.1136/oemed-2013-101717.324</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Labor market ; Population growth ; Principal components analysis</subject><ispartof>Occupational and environmental medicine (London, England), 2013-09, Vol.70 (Suppl 1), p.A110-A111</ispartof><rights>2013, 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</rights><rights>Copyright: 2013 (c) 2013, 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</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://oem.bmj.com/content/70/Suppl_1/A110.3.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://oem.bmj.com/content/70/Suppl_1/A110.3.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids></links><search><creatorcontrib>Jordà, X. Duran</creatorcontrib><creatorcontrib>Benavides</creatorcontrib><creatorcontrib>Martínez, Martínez</creatorcontrib><title>324 Labour market trajectories and permanent disability. Study of prognostic factors</title><title>Occupational and environmental medicine (London, England)</title><addtitle>Occup Environ Med</addtitle><description>Objectives In the current context of increasing population ageing and after trends of labour market flexibilisation, this study analyses the impact of labour trajectories on the potential years of working life lost (PYWLL) due to non-work related permanent disability (PD). Methods Retrospective cohort of 14,999 workers affiliated with the Social Security System in Spain that began a non-work related PD between 2004 and 2010. The PYWLL is defined as the time in years between the age at which a worker initiates a PD and the official retirement age (65 years) or the age of reinstatement to a job. Two indexes of labour trajectory were obtained by Principal Components Analysis: Index 1 (number of contracts, number of unemployment periods and number of periods without affiliation) and Index 2 (percentage of inactive time). Median differences in PYWLL (MD) and 95% confidence intervals (CI95%) were computed using a median regression. The main independent variable was obtained combining tertiles (low, medium, high) of index 1 and 2 ((Index 1, Index 2): (high, high), (high, low), [3DOTS], (low, low)) with category (low, low) as reference. Analysis were stratified by gender and adjusted by the total time elapsed by each worker in the labour trajectory. Results The median PYWLL was 8.7 for men and 11.0 for women. The greatest crude MD was for category (high, high) for men (MD:4.70, CI95%:3.88, 5.52) and (medium, high) for women (MD:4.09, CI95%:2.93, 5.25). The greatest adjusted difference in medians was for category (high, high) in men (MD:3.05, CI95%:2.64, 3.47) and in women (MD:3.68, CI95%:2.57, 4.68). Conclusion Workers with a labour trajectory corresponding to the highest indexes have the greatest loss of PYWLL due to non-work related PD. Greater labour market flexibilisation could mean a major loss of working years and therefore an advancement of age of disability in the coming years.</description><subject>Labor market</subject><subject>Population growth</subject><subject>Principal components analysis</subject><issn>1351-0711</issn><issn>1470-7926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkL1OwzAURi0EElB4BCRLzCm-dhInI1RAERUMlK6W7dgooUmK7Up0Y-FFeRIcgpiZ7h3Od38OQmdApgAsv-hNa6qEEmAJEODAp4yme-gIUk4SXtJ8P_Ysg4RwgEN07H1DIswZPUKriH59fC6k6rcOt9K9moCDk43RoXe18Vh2Fd4Y18rOdAFXtZeqXtdhN8VPYVvtcG_xxvUvXe9DrbGVQ86foAMr196c_tYJer65Xs7myeLx9m52uUgUJSRNbGmZNRVLM8qp5cTSKi8hBZAyJxqkhZLLooiE1loqpXRe5VWqbJHpokgZm6DzcW484W1rfBBN_KOLKwXwAhgpinygspHSrvfeGSs2ro6_7gQQMSgUPwrFoFCMCkX0EnPJmKt9MO9_oShJ5JzxTDysZqLkS7q8vyJiHnky8qpt_rniG7EFhRo</recordid><startdate>201309</startdate><enddate>201309</enddate><creator>Jordà, X. 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Study of prognostic factors</title><author>Jordà, X. Duran ; Benavides ; Martínez, Martínez</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b2004-f9f3fed345272f70f2d691411aa60c1af197a88ed3cccabbbc6d6d4bf85c88433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Labor market</topic><topic>Population growth</topic><topic>Principal components analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jordà, X. Duran</creatorcontrib><creatorcontrib>Benavides</creatorcontrib><creatorcontrib>Martínez, Martínez</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><jtitle>Occupational and environmental medicine (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jordà, X. Duran</au><au>Benavides</au><au>Martínez, Martínez</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>324 Labour market trajectories and permanent disability. Study of prognostic factors</atitle><jtitle>Occupational and environmental medicine (London, England)</jtitle><addtitle>Occup Environ Med</addtitle><date>2013-09</date><risdate>2013</risdate><volume>70</volume><issue>Suppl 1</issue><spage>A110</spage><epage>A111</epage><pages>A110-A111</pages><issn>1351-0711</issn><eissn>1470-7926</eissn><abstract>Objectives In the current context of increasing population ageing and after trends of labour market flexibilisation, this study analyses the impact of labour trajectories on the potential years of working life lost (PYWLL) due to non-work related permanent disability (PD). Methods Retrospective cohort of 14,999 workers affiliated with the Social Security System in Spain that began a non-work related PD between 2004 and 2010. The PYWLL is defined as the time in years between the age at which a worker initiates a PD and the official retirement age (65 years) or the age of reinstatement to a job. Two indexes of labour trajectory were obtained by Principal Components Analysis: Index 1 (number of contracts, number of unemployment periods and number of periods without affiliation) and Index 2 (percentage of inactive time). Median differences in PYWLL (MD) and 95% confidence intervals (CI95%) were computed using a median regression. The main independent variable was obtained combining tertiles (low, medium, high) of index 1 and 2 ((Index 1, Index 2): (high, high), (high, low), [3DOTS], (low, low)) with category (low, low) as reference. Analysis were stratified by gender and adjusted by the total time elapsed by each worker in the labour trajectory. Results The median PYWLL was 8.7 for men and 11.0 for women. The greatest crude MD was for category (high, high) for men (MD:4.70, CI95%:3.88, 5.52) and (medium, high) for women (MD:4.09, CI95%:2.93, 5.25). The greatest adjusted difference in medians was for category (high, high) in men (MD:3.05, CI95%:2.64, 3.47) and in women (MD:3.68, CI95%:2.57, 4.68). Conclusion Workers with a labour trajectory corresponding to the highest indexes have the greatest loss of PYWLL due to non-work related PD. Greater labour market flexibilisation could mean a major loss of working years and therefore an advancement of age of disability in the coming years.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><doi>10.1136/oemed-2013-101717.324</doi><oa>free_for_read</oa></addata></record> |
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title | 324 Labour market trajectories and permanent disability. Study of prognostic factors |
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