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Does sickness absence due to psychiatric disorder predict cause-specific mortality? A 16-year follow-up of the GAZEL occupational cohort study.

Identifieur interne : 001732 ( Main/Exploration ); précédent : 001731; suivant : 001733

Does sickness absence due to psychiatric disorder predict cause-specific mortality? A 16-year follow-up of the GAZEL occupational cohort study.

Auteurs : Maria Melchior [France] ; Jane Ferrie [Royaume-Uni] ; Kristina Alexanderson [Suède] ; Marcel Goldberg [France] ; Mika Kivimaki [Royaume-Uni] ; Archana Singh-Manoux [France] ; Jussi Vahtera [Finlande] ; Hugo Westerlund [Royaume-Uni] ; Marie Zins [France] ; Jenny Head [Royaume-Uni]

Source :

RBID : Hal:inserm-00511645

Abstract

Mental disorders are a frequent cause of morbidity and sickness absence in working populations; however, the status of psychiatric sickness absence as a predictor of mortality is not established. The authors tested the hypothesis that psychiatric sickness absence predicts mortality from leading medical causes. Data were derived from the French GAZEL cohort study (n = 19,962). Physician-certified sickness absence records were extracted from administrative files (1990-1992) and were linked to mortality data from France's national registry of mortality (1993-2008, mean follow-up: 15.5 years). Analyses were conducted by using Cox regression models. Compared with workers with no sickness absence, those absent due to psychiatric disorder were at increased risk of cause-specific mortality (hazard ratios (HRs) adjusted for age, gender, occupational grade, other sickness absence-suicide: 6.01, 95% confidence interval (CI): 3.07, 11.75; cardiovascular disease: 1.84, 95% CI: 1.10, 3.08; and smoking-related cancer: 1.65, 95% CI: 1.07, 2.53). After full adjustment, the excess risk of suicide remained significant (HR = 5.13, 95% CI: 2.60, 10.13) but failed to reach statistical significance for fatal cardiovascular disease (HR = 1.59, 95% CI: 0.95, 2.66) and smoking-related cancer (HR = 1.31, 95% CI: 0.85, 2.03). Psychiatric sickness absence records could help identify individuals at risk of premature mortality and serve to monitor workers' health.


Url:
DOI: 10.1093/aje/kwq186


Affiliations:


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<address>
<addrLine>Bâtiment 300 - 91405 Orsay cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.u-psud.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300068" type="direct">
<org type="regroupinstitution" xml:id="struct-300068" status="VALID">
<orgName>Assistance publique - Hôpitaux de Paris (AP-HP)</orgName>
<orgName type="acronym">APHP</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300153" type="direct">
<org type="institution" xml:id="struct-300153" status="VALID">
<orgName>Hôpital Paul Brousse</orgName>
<desc>
<address>
<addrLine>12 Avenue Paul Vaillant Couturier, 94800 Villejuif</addrLine>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle name="U1018" active="#struct-303623" type="direct">
<org type="institution" xml:id="struct-303623" status="VALID">
<idno type="IdRef">026388278</idno>
<orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
<orgName type="acronym">INSERM</orgName>
<desc>
<address>
<addrLine>101, rue de Tolbiac, 75013 Paris </addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inserm.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Versailles</settlement>
<region type="region" nuts="2">Île-de-France</region>
</placeName>
<orgName type="university">Université de Versailles-Saint-Quentin-en-Yvelines</orgName>
</affiliation>
</author>
<author>
<name sortKey="Head, Jenny" sort="Head, Jenny" uniqKey="Head J" first="Jenny" last="Head">Jenny Head</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-16924" status="VALID">
<orgName>Department of Epidemiology and Public Health</orgName>
<desc>
<address>
<addrLine>1-19 Torrington Place London WC1E 6BT</addrLine>
<country key="GB"></country>
</address>
<ref type="url">https://www.ucl.ac.uk/whitehallII/people/principal_investigators</ref>
</desc>
<listRelation>
<relation active="#struct-300875" type="direct"></relation>
</listRelation>
<tutelles>
<tutelle active="#struct-300875" type="direct">
<org type="institution" xml:id="struct-300875" status="VALID">
<orgName>University College of London [London]</orgName>
<orgName type="acronym">UCL</orgName>
<desc>
<address>
<addrLine>Gower Street, London WC1E 6BT </addrLine>
<country key="GB"></country>
</address>
<ref type="url">http://www.ucl.ac.uk/</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>Royaume-Uni</country>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1093/aje/kwq186</idno>
<series>
<title level="j">American Journal of Epidemiology</title>
<idno type="ISSN">0002-9262</idno>
<imprint>
<date type="datePub">2010-09-15</date>
</imprint>
</series>
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<textClass></textClass>
</profileDesc>
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<front>
<div type="abstract" xml:lang="en">
<p>Mental disorders are a frequent cause of morbidity and sickness absence in working populations; however, the status of psychiatric sickness absence as a predictor of mortality is not established. The authors tested the hypothesis that psychiatric sickness absence predicts mortality from leading medical causes. Data were derived from the French GAZEL cohort study (n = 19,962). Physician-certified sickness absence records were extracted from administrative files (1990-1992) and were linked to mortality data from France's national registry of mortality (1993-2008, mean follow-up: 15.5 years). Analyses were conducted by using Cox regression models. Compared with workers with no sickness absence, those absent due to psychiatric disorder were at increased risk of cause-specific mortality (hazard ratios (HRs) adjusted for age, gender, occupational grade, other sickness absence-suicide: 6.01, 95% confidence interval (CI): 3.07, 11.75; cardiovascular disease: 1.84, 95% CI: 1.10, 3.08; and smoking-related cancer: 1.65, 95% CI: 1.07, 2.53). After full adjustment, the excess risk of suicide remained significant (HR = 5.13, 95% CI: 2.60, 10.13) but failed to reach statistical significance for fatal cardiovascular disease (HR = 1.59, 95% CI: 0.95, 2.66) and smoking-related cancer (HR = 1.31, 95% CI: 0.85, 2.03). Psychiatric sickness absence records could help identify individuals at risk of premature mortality and serve to monitor workers' health.</p>
</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Finlande</li>
<li>France</li>
<li>Royaume-Uni</li>
<li>Suède</li>
</country>
<region>
<li>Finlande occidentale</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Turku</li>
<li>Versailles</li>
</settlement>
<orgName>
<li>Université de Turku</li>
<li>Université de Versailles-Saint-Quentin-en-Yvelines</li>
</orgName>
</list>
<tree>
<country name="France">
<region name="Île-de-France">
<name sortKey="Melchior, Maria" sort="Melchior, Maria" uniqKey="Melchior M" first="Maria" last="Melchior">Maria Melchior</name>
</region>
<name sortKey="Goldberg, Marcel" sort="Goldberg, Marcel" uniqKey="Goldberg M" first="Marcel" last="Goldberg">Marcel Goldberg</name>
<name sortKey="Singh Manoux, Archana" sort="Singh Manoux, Archana" uniqKey="Singh Manoux A" first="Archana" last="Singh-Manoux">Archana Singh-Manoux</name>
<name sortKey="Zins, Marie" sort="Zins, Marie" uniqKey="Zins M" first="Marie" last="Zins">Marie Zins</name>
</country>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Ferrie, Jane" sort="Ferrie, Jane" uniqKey="Ferrie J" first="Jane" last="Ferrie">Jane Ferrie</name>
</noRegion>
<name sortKey="Head, Jenny" sort="Head, Jenny" uniqKey="Head J" first="Jenny" last="Head">Jenny Head</name>
<name sortKey="Kivimaki, Mika" sort="Kivimaki, Mika" uniqKey="Kivimaki M" first="Mika" last="Kivimaki">Mika Kivimaki</name>
<name sortKey="Westerlund, Hugo" sort="Westerlund, Hugo" uniqKey="Westerlund H" first="Hugo" last="Westerlund">Hugo Westerlund</name>
</country>
<country name="Suède">
<noRegion>
<name sortKey="Alexanderson, Kristina" sort="Alexanderson, Kristina" uniqKey="Alexanderson K" first="Kristina" last="Alexanderson">Kristina Alexanderson</name>
</noRegion>
</country>
<country name="Finlande">
<region name="Finlande occidentale">
<name sortKey="Vahtera, Jussi" sort="Vahtera, Jussi" uniqKey="Vahtera J" first="Jussi" last="Vahtera">Jussi Vahtera</name>
</region>
</country>
</tree>
</affiliations>
</record>

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