Socioprofessional trajectories and mortality in France, 1976–2002: a longitudinal follow-up of administrative data
Background Occupying a low socioeconomic position is associated with increased mortality risk. To disentangle this association, previous studies considered various dimensions of socioeconomic trajectories across the life course. However, they used a limited number of stages. We simultaneously examin...
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description | Background Occupying a low socioeconomic position is associated with increased mortality risk. To disentangle this association, previous studies considered various dimensions of socioeconomic trajectories across the life course. However, they used a limited number of stages. We simultaneously examined various dimensions of the whole professional trajectory and its association with mortality. Methods We used a large sample (337 706 men and 275 378 women) of the data obtained by linking individuals’ annual occupation (collected in 1976–2002 from a representative panel of the French salaried population in the semipublic and private sectors) with causes of death obtained from registries. All-cause and cause-specific HRs were estimated using Cox's regression models adjusted for the occupational class at the beginning of the follow-up, the current occupational class, the transition rates between occupational categories and the duration of time spent in occupational categories. Results An increase in the time spent in the clerk class increased men and women's cardiovascular mortality risk compared with that in the upper class (HRs=1.59 (1.14 to 2.20) and 2.65 (1.14 to 6.13) for 10 years increase, respectively, for men and women). Men with a high rate of transitions had about a 1.2-fold increased risk of all-cause and external-cause mortality compared with those without transitions during their professional life. This association was also observed for women's all-cause mortality. Conclusions Strong associations between professional trajectories and mortality from different causes of death were found. Long exposure to lower socioeconomic conditions was associated with increased mortality risk from various causes of death. The results also suggest gradual associations between transition rates and mortality. |
doi_str_mv | 10.1136/jech-2014-204615 |
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To disentangle this association, previous studies considered various dimensions of socioeconomic trajectories across the life course. However, they used a limited number of stages. We simultaneously examined various dimensions of the whole professional trajectory and its association with mortality. Methods We used a large sample (337 706 men and 275 378 women) of the data obtained by linking individuals’ annual occupation (collected in 1976–2002 from a representative panel of the French salaried population in the semipublic and private sectors) with causes of death obtained from registries. All-cause and cause-specific HRs were estimated using Cox's regression models adjusted for the occupational class at the beginning of the follow-up, the current occupational class, the transition rates between occupational categories and the duration of time spent in occupational categories. Results An increase in the time spent in the clerk class increased men and women's cardiovascular mortality risk compared with that in the upper class (HRs=1.59 (1.14 to 2.20) and 2.65 (1.14 to 6.13) for 10 years increase, respectively, for men and women). Men with a high rate of transitions had about a 1.2-fold increased risk of all-cause and external-cause mortality compared with those without transitions during their professional life. This association was also observed for women's all-cause mortality. Conclusions Strong associations between professional trajectories and mortality from different causes of death were found. Long exposure to lower socioeconomic conditions was associated with increased mortality risk from various causes of death. The results also suggest gradual associations between transition rates and mortality.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech-2014-204615</identifier><identifier>PMID: 25516611</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Adult ; Artisans ; Cause of Death ; Employees ; Female ; Follow-Up Studies ; France - epidemiology ; Health risks ; Humans ; Life course and long-term influences on health ; Male ; Middle Aged ; Mortality ; Mortality risk ; Mortality, Premature ; Multivariate Analysis ; Occupations ; Occupations - classification ; Occupations - economics ; Proportional Hazards Models ; Social Class ; Social mobility ; Social Mobility - statistics & numerical data ; Socioeconomic factors ; Socioeconomics ; Upper class ; Upward mobility ; Women</subject><ispartof>Journal of epidemiology and community health (1979), 2015-04, Vol.69 (4), p.339-346</ispartof><rights>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>2015 BMJ Publishing Group</rights><rights>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: 2015 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><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b418t-ee1260be33261fe5f0367f2844ac0e030c10dbeb878a55ad4bfe472adeee06da3</citedby><cites>FETCH-LOGICAL-b418t-ee1260be33261fe5f0367f2844ac0e030c10dbeb878a55ad4bfe472adeee06da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/69/4/339.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/69/4/339.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,799,3182,23551,27903,27904,57995,58228,77346,77377</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25516611$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Karimi, Maryam</creatorcontrib><creatorcontrib>Geoffroy-Perez, Béatrice</creatorcontrib><creatorcontrib>Fouquet, Aurélie</creatorcontrib><creatorcontrib>Latouche, Aurélien</creatorcontrib><creatorcontrib>Rey, Grégoire</creatorcontrib><title>Socioprofessional trajectories and mortality in France, 1976–2002: a longitudinal follow-up of administrative data</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>Background Occupying a low socioeconomic position is associated with increased mortality risk. To disentangle this association, previous studies considered various dimensions of socioeconomic trajectories across the life course. However, they used a limited number of stages. We simultaneously examined various dimensions of the whole professional trajectory and its association with mortality. Methods We used a large sample (337 706 men and 275 378 women) of the data obtained by linking individuals’ annual occupation (collected in 1976–2002 from a representative panel of the French salaried population in the semipublic and private sectors) with causes of death obtained from registries. All-cause and cause-specific HRs were estimated using Cox's regression models adjusted for the occupational class at the beginning of the follow-up, the current occupational class, the transition rates between occupational categories and the duration of time spent in occupational categories. Results An increase in the time spent in the clerk class increased men and women's cardiovascular mortality risk compared with that in the upper class (HRs=1.59 (1.14 to 2.20) and 2.65 (1.14 to 6.13) for 10 years increase, respectively, for men and women). Men with a high rate of transitions had about a 1.2-fold increased risk of all-cause and external-cause mortality compared with those without transitions during their professional life. This association was also observed for women's all-cause mortality. Conclusions Strong associations between professional trajectories and mortality from different causes of death were found. Long exposure to lower socioeconomic conditions was associated with increased mortality risk from various causes of death. The results also suggest gradual associations between transition rates and mortality.</description><subject>Adult</subject><subject>Artisans</subject><subject>Cause of Death</subject><subject>Employees</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>France - epidemiology</subject><subject>Health risks</subject><subject>Humans</subject><subject>Life course and long-term influences on health</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mortality risk</subject><subject>Mortality, Premature</subject><subject>Multivariate Analysis</subject><subject>Occupations</subject><subject>Occupations - classification</subject><subject>Occupations - economics</subject><subject>Proportional Hazards Models</subject><subject>Social Class</subject><subject>Social mobility</subject><subject>Social Mobility - statistics & numerical data</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Upper class</subject><subject>Upward mobility</subject><subject>Women</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU2L1TAUhoMoznV070YJuBG0ek6ar-tOBkeFARcquCtpe6q5tM01SZXZ-R_8h_4SUzrOws1sksD7nDccHsYeIrxArPXLA3XfKgEoyyE1qltsh9JAJUxtb7NdCeoKQH05YfdSOkB5GrG_y06EUqg14o7lj6Hz4RjDQCn5MLuR5-hKbw7RU-Ju7vkUYnajz5fcz_w8urmj5xz3Rv_59VsAiFfc8THMX31eer82DGEcw89qOfIwcNdPfvaptGb_g3jvsrvP7gxuTPTg6j5ln8_ffDp7V118ePv-7PVF1Uq0uSJCoaGluhYaB1ID1NoMwkrpOiCooUPoW2qtsU4p18t2IGmE64kIdO_qU_Z06y37fV8o5WbyqaNxdDOFJTVowRrcW2NuRrVWKIRUWNAn_6GHsMSyd6GM2QurtIJCwUZ1MaQUaWiO0U8uXjYIzSqvWeU1q7xmk1dGHl8VL-1E_fXAP1sFeLQBh1T0XOdSAlpp1_zZlrfT4ebv_gK6OK0n</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Karimi, Maryam</creator><creator>Geoffroy-Perez, Béatrice</creator><creator>Fouquet, Aurélie</creator><creator>Latouche, Aurélien</creator><creator>Rey, Grégoire</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20150401</creationdate><title>Socioprofessional trajectories and mortality in France, 1976–2002: a longitudinal follow-up of administrative data</title><author>Karimi, Maryam ; Geoffroy-Perez, Béatrice ; Fouquet, Aurélie ; Latouche, Aurélien ; Rey, Grégoire</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b418t-ee1260be33261fe5f0367f2844ac0e030c10dbeb878a55ad4bfe472adeee06da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Artisans</topic><topic>Cause of Death</topic><topic>Employees</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>France - epidemiology</topic><topic>Health risks</topic><topic>Humans</topic><topic>Life course and long-term influences on health</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Mortality risk</topic><topic>Mortality, Premature</topic><topic>Multivariate Analysis</topic><topic>Occupations</topic><topic>Occupations - classification</topic><topic>Occupations - economics</topic><topic>Proportional Hazards Models</topic><topic>Social Class</topic><topic>Social mobility</topic><topic>Social Mobility - statistics & numerical data</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Upper class</topic><topic>Upward mobility</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karimi, Maryam</creatorcontrib><creatorcontrib>Geoffroy-Perez, Béatrice</creatorcontrib><creatorcontrib>Fouquet, Aurélie</creatorcontrib><creatorcontrib>Latouche, Aurélien</creatorcontrib><creatorcontrib>Rey, Grégoire</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karimi, Maryam</au><au>Geoffroy-Perez, Béatrice</au><au>Fouquet, Aurélie</au><au>Latouche, Aurélien</au><au>Rey, Grégoire</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioprofessional trajectories and mortality in France, 1976–2002: a longitudinal follow-up of administrative data</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2015-04-01</date><risdate>2015</risdate><volume>69</volume><issue>4</issue><spage>339</spage><epage>346</epage><pages>339-346</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>Background Occupying a low socioeconomic position is associated with increased mortality risk. To disentangle this association, previous studies considered various dimensions of socioeconomic trajectories across the life course. However, they used a limited number of stages. We simultaneously examined various dimensions of the whole professional trajectory and its association with mortality. Methods We used a large sample (337 706 men and 275 378 women) of the data obtained by linking individuals’ annual occupation (collected in 1976–2002 from a representative panel of the French salaried population in the semipublic and private sectors) with causes of death obtained from registries. All-cause and cause-specific HRs were estimated using Cox's regression models adjusted for the occupational class at the beginning of the follow-up, the current occupational class, the transition rates between occupational categories and the duration of time spent in occupational categories. Results An increase in the time spent in the clerk class increased men and women's cardiovascular mortality risk compared with that in the upper class (HRs=1.59 (1.14 to 2.20) and 2.65 (1.14 to 6.13) for 10 years increase, respectively, for men and women). Men with a high rate of transitions had about a 1.2-fold increased risk of all-cause and external-cause mortality compared with those without transitions during their professional life. This association was also observed for women's all-cause mortality. Conclusions Strong associations between professional trajectories and mortality from different causes of death were found. Long exposure to lower socioeconomic conditions was associated with increased mortality risk from various causes of death. The results also suggest gradual associations between transition rates and mortality.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>25516611</pmid><doi>10.1136/jech-2014-204615</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Artisans Cause of Death Employees Female Follow-Up Studies France - epidemiology Health risks Humans Life course and long-term influences on health Male Middle Aged Mortality Mortality risk Mortality, Premature Multivariate Analysis Occupations Occupations - classification Occupations - economics Proportional Hazards Models Social Class Social mobility Social Mobility - statistics & numerical data Socioeconomic factors Socioeconomics Upper class Upward mobility Women |
title | Socioprofessional trajectories and mortality in France, 1976–2002: a longitudinal follow-up of administrative data |
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