Head, J; Ferrie, JE; Alexanderson, K; Westerlund, H; Vahtera, J; Kivimaki, M; (2008) Diagnosis-specific sickness absence as a predictor of mortality: the Whitehall II prospective cohort study. BRIT MED J , 337 (7674) , Article a1469. 10.1136/bmj.a1469.

Preview

PDF 13299.pdf Download (369kB)

Abstract

Objective To investigate whether knowing the diagnosis for sickness absence improves prediction of mortality.Design Prospective cohort study established in 1985- 8. Sickness absence records including diagnoses were obtained from computerised registers.Setting 20 civil service departments in London.Participants 6478 civil servants aged 35- 55 years.Main outcome measures All cause, cardiovascular, and cancer mortality until 2004, average follow- up 13 years.Results After adjustment for age, sex, and employment grade, employees who had one or more medically certified spells of sickness absence (> 7 days) in a three year period had a mortality 1.7 ( 95% CI 1.3 to 2.1) times greater than those with no medically certified spells. Inclusion of diagnoses improved the prediction of all cause mortality ( P= 0.03). The hazard ratio for mortality was 4.7 ( 2.6 to 8.5) for absences with circulatory disease diagnoses, 2.2 ( 1.4 to 3.3) for surgical operations, and 1.9 ( 1.2 to 3.1) for psychiatric diagnoses. Psychiatric absences were also predictive of cancer mortality ( 2.5 ( 1.3 to 4.7)). Associations of infectious, respiratory, and injury absences with overall mortality were less marked ( hazard ratios from 1.5 to 1.7), and there was no association between musculoskeletal absences and mortality.Conclusions Major diagnoses for medically certified absences were associated with increased mortality, with the exception of musculoskeletal disease. Data on sickness absence diagnoses may provide useful information to identify groups with increased health risk and a need for targeted interventions.

Download activity - last month

Export as XMLCSVJSON

Download activity - last 12 months

Export as XMLCSVJSON

Downloads by country - last 12 months

Export as JSONXMLCSV

Archive Staff Only

View Item