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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003518naa a2200445 4500
001oai:DiVA.org:su-67597
003SwePub
008111229s2012 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:123767863
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-675972 URI
0247 a https://doi.org/10.1136/jech.2010.1267892 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1237678632 URI
040 a (SwePub)sud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Alexanderson, K.u Karolinska Institutet4 aut
2451 0a Diagnosis-specific sick leave as a long-term predictor of disability pension :b a 13-year follow-up of the GAZEL cohort study
264 c 2011-10-14
264 1b BMJ,c 2012
338 a print2 rdacarrier
520 a Background Factors that increase the risk of labour market exclusion are poorly understood. In this study, we examined the extent to which all-cause and diagnosis-specific sick leave predict subsequent disability pension (DP).Methods Prospective cohort study of 20 434 persons employed by the French national gas and electric company (the GAZEL study). New sick-leave spells >7 days in 1990–1992 were obtained from company records. Follow-up for DP was from 1994 to 2007.Results The HR, adjusted for age and occupational position, for DP was 3.5 (95% CI 2.7 to 4.5) in men and 2.6 (95% CI 1.9 to 3.5) in women with one or more sick-leave spells >7 days compared with those with no sick leave. The strongest predictor of DP was sick leave with a psychiatric diagnosis, HR 7.6 (95% CI 5.2 to 10.9) for men and 4.1 (95% CI 2.9 to 5.9) for women. Corresponding HRs for sick leave due to circulatory diagnoses in men and women were 5.6 (95% CI 3.7 to 8.6) and 3.1 (95% CI 1.8 to 5.3), for respiratory diagnoses 3.9 (95% CI 2.6 to 5.8) and 2.6 (95% CI 1.7 to 4.0), and musculoskeletal diagnoses 4.6 (95% CI 3.4 to 6.4) and 3.3 (95% CI 2.2 to 4.8), respectively.Conclusions Sick leave with a psychiatric diagnosis is a major risk factor for subsequent DP, especially among men. Sick leave due to musculoskeletal or circulatory disorders was also a strong predictor of DP. Diagnosis-specific sick leave should be recognised as an early risk marker for future exclusion from the labour market.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Arbetsmedicin och miljömedicin0 (SwePub)303032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Occupational Health and Environmental Health0 (SwePub)303032 hsv//eng
7001 a Kivimäki, M.4 aut
7001 a Ferrie, J. E.4 aut
7001 a Westerlund, Hugou Stockholms universitet,Stressforskningsinstitutet,Karolinska Institutet, Sweden4 aut0 (Swepub:su)hwest
7001 a Vahtera, J.4 aut
7001 a Singh-Manoux, A.4 aut
7001 a Melchior, M.4 aut
7001 a Zins, M.4 aut
7001 a Goldberg, M.4 aut
7001 a Head, J.u Karolinska Institutet4 aut
7102 a Karolinska Institutetb Stressforskningsinstitutet4 org
7730 t Journal of Epidemiology and Community Healthd : BMJg 66:2, s. 155-159q 66:2<155-159x 0143-005Xx 1470-2738
8564 u https://europepmc.org/articles/pmc4851987
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-67597
8564 8u https://doi.org/10.1136/jech.2010.126789
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:123767863

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