Hazard functions to describe patterns of new and recurrent sick leave episodes for different diagnoses

Scandinavian Journal of Work, Environment and Health

Volumn 38, Issue 5, 2012, Pages 447-455

  Navarro, Albert ^a   Moriña, David ^a,b   Reis, Ricardo ^a,c   Nedel, Fúlvio B ^a,d   Martín, Miguel ^a   Alvarado, Sergio ^a,e  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b Technological Center of Nutrition and Health CTNS   (Spain)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^d UNIVERSITY OF SANTA CRUZ DO SUL   (Brazil)

^e UNIVERSITY OF CHILE   (Chile)

Author keywords

Occupational health; Recurrence; Risk; Statistical model; Survival analysis

Indexed keywords

HEALTH RISK; HOSPITAL SECTOR; MENTAL HEALTH; NUMERICAL MODEL; OCCUPATIONAL EXPOSURE; RECURRENCE INTERVAL; SURVIVAL; WORKING CONDITIONS;

ARTICLE; BRAZIL; DISEASE PREDISPOSITION; MEDICAL LEAVE; MENTAL DISEASE; MUSCULOSKELETAL DISEASE; PRIORITY JOURNAL; PROBABILITY; RESPIRATORY TRACT DISEASE;

BRAZIL; MINAS GERAIS;

EID: 84865852810     PISSN: 03553140     EISSN: 1795990X     Source Type: Journal    
DOI: 10.5271/sjweh.3276     Document Type: Article

References (23)

1. Glynn RJ, Stukel TA, Sharp SM, Bubolz TA, Freeman JL, Fisher ES. Estimating the variance of standardized rates of recurrent events, with application to hospitalizations among the elderly in new england. Am J Epidemiol. 1993;137:776-86.
2. Navarro A, Reis RJ, Martin M. Some alternatives in the statistical analysis of sickness absence. Am J Ind Med. 2009;52:811-6. http://dx.doi.org/10.1002/ajim.20739.
3. Navarro A, Ancizu I. Analyzing the occurrence of falls and its risk factors: Some considerations. Prev Med. 2009;48:298-302. http://dx.doi.org/10.1016/j.ypmed.2008.12.019.
4. Reis RJ, Utzet M, La Rocca PF, Nedel FB, Martin M, Navarro A. Previous sick leaves as predictor of subsequent ones. Int Arch Occup Environ Health. 2011;84:491-9. http://dx.doi.org/10.1007/s00420-011-0620-0.
5. Metcalfe C, Thompson SG. The importance of varying the event generation process in simulation studies of statistical methods for recurrent events. Stat Med. 2006;25:165-79. http://dx.doi.org/10.1002/sim.2310.
6. Burton A, Altman DG, Royston P, Holder RL. The design of simulation studies in medical statistics. Stat Med. 2006;25:4279-92. http://dx.doi.org/10.1002/sim.2673.
7. Reis RJ, de Freitas La Rocca P, Basile L, Navarro A, Martin M. Cohort profile: The hospital das clinicas cohort study, Belo Horizonte, Minas Gerais, Brazil. Int J Epidemiol. 2008;37:710-5.
8. World Health Organisation. International statistical classification of diseases and related health problems: Tenth revision. Geneva: WHO; 2005.
9. Akaike H. A new look at the statistical model identification. IEEE Trans Automatic Control. 1974;19:716-23. http://dx.doi.org/10.1109/TAC.1974.1100705.
10. Cleves MA, Gould WW, Gutierrez RG. An introduction to survival analysis using stata. Rev ed. College Station, TX: Stata Press; 2004.
11. Kleinbaum DG, Klein M. Survival analysis: A self-learning text. 2nd ed. New York, NY: Springer Science+Business Media, Inc.; 2005.
12. Mullahy J. Specification and testing of some modified count data models. J Econom. 1986;33:341-65. http://dx.doi.org/10.1016/0304-4076(86)90002-3.
13. Kristensen TS. Sickness absence and work strain among danish slaughterhouse workers: An analysis of absence from work regarded as coping behaviour. Soc Sci Med. 1991;32:15-27. http://dx.doi.org/10.1016/0277-9536(91)90122-S.
14. Kristensen TR, Jensen SM, Kreiner S, Mikkelsen S. Socioeconomic status and duration and pattern of sickness absence. A 1-year follow-up study of 2331 hospital employees. BMC Public Health. 2010;10:643. http://dx.doi.org/10.1186/1471-2458-10-643.
15. Vahtera J, Virtanen P, Kivimaki M, Pentti J. Workplace as an origin of health inequalities. J Epidemiol Community Health. 1999;53:399-407. http://dx.doi.org/10.1136/jech.53.7.399.
16. Christensen KB, Andersen PK, Smith-Hansen L, Nielsen ML, Kristensen TS. Analyzing sickness absence with statistical models for survival data. Scand J Work Environ Health. 2007;33:233-9. http://dx.doi.org/10.5271/sjweh.1132.
17. Koopmans PC, Roelen CA, Groothoff JW. Parametric hazard rate models for long-term sickness absence. Int Arch Occup Environ Health. 2009;82:575-82. http://dx.doi.org/10.1007/s00420-008-0369-2.
18. Kelly PJ, Lim LL. Survival analysis for recurrent event data: An application to childhood infectious diseases. Stat Med. 2000;19:13-33. http://dx.doi.org/10.1002/(SICI)1097-0258(20000115)19:1<13::AID-SIM279>3.0.CO;2-5.
19. Therneau TM, Grambsch PM. Modeling survival data: Extending the cox model. New York: Springer; 2000.
20. Clayton D. Some approaches to the analysis of recurrent event data. Stat Methods Med Res. 1994;3:244-62. http://dx.doi.org/10.1177/096228029400300304.
21. Hougaard P. Frailty models for survival data. Lifetime Data Anal. 1995;1:255-73. http://dx.doi.org/10.1007/BF00985760.
22. Hougaard P. Analysis of multivariate survival data. New York: Springer; 2000. http://dx.doi.org/10.1007/978-1-4612-1304-8.
23. Ministério do Trabalho e do Emprego. Classificação Brasileira de Ocupações: CBO-2002 [Brazilian classification of occupations: CBO-2002]. 2nd ed. Brasília: Ministério do Trabalho e do Emprego; 2002.