Previous sick leaves as predictor of subsequent ones

  • Ricardo J. Reis
  • Mireia Utzet
  • Poliana F. La Rocca
  • Fúlvio B. Nedel
  • Miguel Martín
  • Albert Navarro
Original Article

Abstract

Purpose

There is evidence that a history of sick leave (SL) increases the risk of suffering a new episode. However, little is known about the effect of the number of previous SL on subsequent ones. The aim of this paper was to quantify the effect of prior episodes on the risk of experiencing a new one and the effect on the duration of episodes, by diagnosis.

Methods

Prospective study. Sample comprises 1,542 workers from a university hospital, whose first contract started during 2000–2007.

Results

The studied workers accumulated 5,138 episodes, 21,250 days of absence and 45,324.2 months of follow-up. For all the causes, recurrence density was higher than incidence density. The higher the number of prior SL, the greater is the hazard of presenting a new episode. This is particularly true for episodes due to mental and behavioral disorders, diseases of the skin and subcutaneous tissue, and diseases related to nervous system. The adjusted hazard of suffering an SL episode due to mood disorders was increased 21.44 times when the worker had previously had one SL. The corresponding figures were 14.58 and 13.92 for SL due to skin and mucous membrane diseases and due to neurotic or stress-related disorders, respectively.

Conclusions

The results obtained provide evidence that having suffered previous SL episodes implies a significant increase in the risk of experiencing a new one. High recurrence density of certain diagnoses should be interpreted as a general indication that something is wrong in the occupational setting.

Keywords

Sick leave Recurrence Cohort studies Occupational health Risk factors 

References

  1. Andersen PK, Gill RD (1982) Cox’s regression model counting process: a large sample study. Ann Stat 10:1100–1120CrossRefGoogle Scholar
  2. Andrea H, Beurskens AJ, Metsemakers JF, van Amelsvoort LG, van den Brandt PA, van Schayck CP (2003) Health problems and psychosocial work environment as predictors of long term sickness absence in employees who visited the occupational physician and/or general practitioner in relation to work: a prospective study. Occup Environ Med 60:295–300CrossRefGoogle Scholar
  3. Christensen KB, Andersen PK, Smith-Hansen L, Nielsen ML, Kristensen TS (2007) Analyzing sickness absence with statistical models for survival data. Scand J Work Environ Health 33:233–239Google Scholar
  4. Dekkers-Sanchez PM, Hoving JL, Sluiter JK, Frings-Dresen MH (2008) Factors associated with long-term sick leave in sick-listed employees: a systematic review. Occup Environ Med 65:153–157CrossRefGoogle Scholar
  5. dos Reis RJ, La Rocca Pde F, Silveira AM, Lopez Bonilla IM, Navarro i Gine A, Martin M (2003) Factors related to sickness absenteeism among nursing personnel. [Fatores relacionados ao absenteismo por doenca em profissionais de enfermagem]. Rev Saude Publica 37:616–623CrossRefGoogle Scholar
  6. Duijts SF, Kant IJ, Landeweerd JA, Swaen GM (2006) Prediction of sickness absence: development of a screening instrument. Occup Environ Med 63:564–569CrossRefGoogle Scholar
  7. Engkvist IL, Hjelm EW, Hagberg M, Menckel E, Ekenvall L (2000) Risk indicators for reported over-exertion back injuries among female nursing personnel. Epidemiology 11:519–522CrossRefGoogle Scholar
  8. Hensing G, Wahlstrom R (2004) Swedish council on technology assessment in health care (SBU). Chapter 7. Sickness absence and psychiatric disorders. Scand J Public Health Suppl 63:152–180CrossRefGoogle Scholar
  9. Kelly PJ, Lim LL (2000) Survival analysis for recurrent event data: an application to childhood infectious diseases. Stat Med 19:13–33CrossRefGoogle Scholar
  10. Koopmans PC, Roelen CA, Groothoff JW (2008) Risk of future sickness absence in frequent and long-term absentees. Occup Med (Lond) 58:268–274CrossRefGoogle Scholar
  11. Koopmans PC, Bultmann U, Roelen CA, Hoedeman R, van der Klink JJ, Groothoff JW (2010) Recurrence of sickness absence due to common mental disorders. Int Arch Occup Environ Health. [Epub ahead of print]Google Scholar
  12. Kristensen TS (1991) Sickness absence and work strain among danish slaughterhouse workers: an analysis of absence from work regarded as coping behaviour. Soc Sci Med 32:15–27CrossRefGoogle Scholar
  13. Lopez Cuenca S, Albaladejo Vicente R, Villanueva Orbaiz R, Dominguez Rojas V (2006) Analysis of short-term time off of health workers in a health area. [Analisis de la incapacidad temporal en trabajadores de la rama sanitaria de un area de salud]. Aten Primaria 38:550–554CrossRefGoogle Scholar
  14. McVicar A (2003) Workplace stress in nursing: a literature review. J Adv Nurs 44:633–642CrossRefGoogle Scholar
  15. Moncada S, Navarro A, Cortes I, Molinero E, Artazcoz L (2002) Sickness leave, administrative category and gender: results from the “Casa Gran” project. Scand J Public Health Suppl 59:26–33Google Scholar
  16. Navarro A, Reis RJ, Martin M (2009) Some alternatives in the statistical analysis of sickness absence. Am J Ind Med 52:811–816CrossRefGoogle Scholar
  17. Reis RJ, de Freitas La Rocca P, Basile L, Navarro A, Martin M (2008) Cohort profile: the Hospital das Clinicas Cohort study, Belo Horizonte, Minas Gerais, Brazil. Int J Epidemiol 37:710–715Google Scholar
  18. Roelen CA, Koopmans PC, Groothoff JW (2009) Occupational rewards relate to sickness absence frequency but not duration. Work 34:13–19Google Scholar
  19. Roelen CA, Koopmans PC, Anema JR, van der Beek AJ (2010) Recurrence of medically certified sickness absence according to diagnosis: a sickness absence register study. J Occup Rehabil 20:113–121CrossRefGoogle Scholar
  20. Roskes K, Donders CG, van der Gulden JW (2005) Health-related and work-related aspects associated with sick leave: a comparison of chronically ill and non-chronically ill workers. Int Arch Occup Environ Health 78:270–278CrossRefGoogle Scholar
  21. World Health Organisation (ed) (2005) International statistical classification of diseases and related health problems: tenth revision. WHO, GenevaGoogle Scholar
  22. Young AE, Roessler RT, Wasiak R, McPherson KM, van Poppel MN, Anema JR (2005) A developmental conceptualization of return to work. J Occup Rehabil 15:557–568CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Ricardo J. Reis
    • 1
  • Mireia Utzet
    • 2
  • Poliana F. La Rocca
    • 1
  • Fúlvio B. Nedel
    • 2
    • 3
  • Miguel Martín
    • 2
  • Albert Navarro
    • 2
  1. 1.Serviço de Atenção à Saúde do TrabalhadorUniversidade Federal de Minas GeraisBelo HorizonteBrazil
  2. 2.Grups de Recerca d’Amèrica i d’Àfrica Llatines (GRAAL), Facultat de MedicinaUnitat de Bioestadística, Universitat Autònoma de BarcelonaCerdanyola del VallèsSpain
  3. 3.Departamento de Biologia e FarmáciaUniversidade de Santa Cruz do Sul. GRAAL-UNISCSanta Cruz do SulBrazil

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