BACKGROUND: The study estimated the excess mortality after long-term sickness absence (LTSA), and identified socio-demographic and diagnostic risk factors of death. METHODS: Prospective cohort study during 1994-2003 in a Norwegian county with 256,654 inhabitants aged 16-62 years. A representative sample of 3386 persons with a spell of sickness absence >8 weeks was compared with the total county population with respect to all cause mortality. Comparative mortality figures (CMF) for the total sample and standardized mortality rates for diagnostic groups were calculated. RESULTS: The CMFs were 1.5 (95% CI 1.1-1.9) for the female and 2.0 (95% CI 1.7-2.4) for the male sample. Among women, persons' sickness certified with cancer contributed with 43% of all deaths and standardized mortality ratios (SMR) was 16.1 (11.2-23.2). The respective figure for the men was 27% and SMR was 8.0 (5.7-11.1). SMR for men with mental diagnoses was 1.7 (95% CI 1.1-2.9) and for 'other' (respiratory, neurological, digestive) 1.8 (95% CI 1.3-2.7). Musculoskeletal cases had not elevated SMRs. Cox proportional hazard analysis with musculoskeletal cases as reference adjusted for age and income showed very high hazard ratios (HR) for cases with cancer diagnoses. Among the men, mental and 'other' diagnoses had also HR above unity. CONCLUSION: The study verified findings from Finland and the UK of excess mortality after LTSA, also when compared with the total population of the same age. Among women, cancer cases explained all the excess mortality, whereas other cases outside the musculoskeletal group also contributed among men.
BACKGROUND: The study estimated the excess mortality after long-term sickness absence (LTSA), and identified socio-demographic and diagnostic risk factors of death. METHODS: Prospective cohort study during 1994-2003 in a Norwegian county with 256,654 inhabitants aged 16-62 years. A representative sample of 3386 persons with a spell of sickness absence >8 weeks was compared with the total county population with respect to all cause mortality. Comparative mortality figures (CMF) for the total sample and standardized mortality rates for diagnostic groups were calculated. RESULTS: The CMFs were 1.5 (95% CI 1.1-1.9) for the female and 2.0 (95% CI 1.7-2.4) for the male sample. Among women, persons' sickness certified with cancer contributed with 43% of all deaths and standardized mortality ratios (SMR) was 16.1 (11.2-23.2). The respective figure for the men was 27% and SMR was 8.0 (5.7-11.1). SMR for men with mental diagnoses was 1.7 (95% CI 1.1-2.9) and for 'other' (respiratory, neurological, digestive) 1.8 (95% CI 1.3-2.7). Musculoskeletal cases had not elevated SMRs. Cox proportional hazard analysis with musculoskeletal cases as reference adjusted for age and income showed very high hazard ratios (HR) for cases with cancer diagnoses. Among the men, mental and 'other' diagnoses had also HR above unity. CONCLUSION: The study verified findings from Finland and the UK of excess mortality after LTSA, also when compared with the total population of the same age. Among women, cancer cases explained all the excess mortality, whereas other cases outside the musculoskeletal group also contributed among men.
Authors: Maria Melchior; Jane E Ferrie; Kristina Alexanderson; Marcel Goldberg; Mika Kivimaki; Archana Singh-Manoux; Jussi Vahtera; Hugo Westerlund; Marie Zins; Jenny Head Journal: Am J Epidemiol Date: 2010-08-23 Impact factor: 4.897
Authors: J E Ferrie; J Vahtera; M Kivimäki; H Westerlund; M Melchior; K Alexanderson; J Head; A Chevalier; A Leclerc; M Zins; M Goldberg; A Singh-Manoux Journal: J Epidemiol Community Health Date: 2008-11-27 Impact factor: 3.710
Authors: Maria Melchior; Jane E Ferrie; Kristina Alexanderson; Marcel Goldberg; Mika Kivimaki; Archana Singh-Manoux; Jussi Vahtera; Hugo Westerlund; Marie Zins; Jenny Head Journal: Am J Public Health Date: 2009-06-18 Impact factor: 9.308
Authors: C A M Roelen; M W Heymans; J W R Twisk; W van Rhenen; S Pallesen; B Bjorvatn; B E Moen; N Magerøy Journal: Int Arch Occup Environ Health Date: 2014-03-25 Impact factor: 3.015