TY - JOUR
T1 - International variation in absence from work attributed to musculoskeletal illness
T2 - Findings from the CUPID study
AU - CUPID Collaboration
AU - Coggon, David
AU - Ntani, Georgia
AU - Vargas-Prada, Sergio
AU - Martinez, José Miguel
AU - Serra, Consol
AU - Benavides, Fernando G.
AU - Palmer, Keith T.
AU - Felli, Vanda E.
AU - Harari, Raul
AU - Barrero, Lope H.
AU - Felknor, Sarah A.
AU - Gimeno, David
AU - Cattrell, Anna
AU - Bonzini, Matteo
AU - Solidaki, Eleni
AU - Merisalu, Eda
AU - Habib, Rima R.
AU - Sadeghian, Farideh
AU - Kadir, M. Masood
AU - Warnakulasuriya, Sudath S.P.
AU - Matsudaira, Ko
AU - Nyantumbu, Busisiwe
AU - Sim, Malcolm R.
AU - Harcombe, Helen
AU - Cox, Ken
AU - Marziale, Maria H.
AU - Sarquis, Leila M.
AU - Harari, Florencia
AU - Freire, Rocio
AU - Harari, Natalia
AU - Monroy, Magda V.
AU - Quintana, Leonardo A.
AU - Rojas, Marianela
AU - Vega, Eduardo J.Salazar
AU - Harris, E. Clare
AU - Delclos, George
AU - Carugno, Michele
AU - Ferrario, Marco M.
AU - Pesatori, Angela C.
AU - Chatzi, Leda
AU - Bitsios, Panos
AU - Kogevinas, Manolis
AU - Oha, Kristel
AU - Sirk, Tuuli
AU - Sadeghian, Ali
AU - Peiris-John, Roshini J.
AU - Sathiakumar, Nalini
AU - Wickremasinghe, A. Rajitha
AU - Yoshimura, Noriko
AU - Kelsall, Helen L.
PY - 2013/8/1
Y1 - 2013/8/1
N2 - Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and grouplevel risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92-1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12- month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees' responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.
AB - Objectives To quantify the variation in rates of absence due to musculoskeletal pain across 47 occupational groups (mostly nurses and office workers) from 18 countries, and to explore personal and grouplevel risk factors that might explain observed differences. Methods A standardised questionnaire was used to obtain information about musculoskeletal pain, sickness absence and possible risk factors in a cross-sectional survey of 12 416 workers (92-1017 per occupational group). Additionally, group-level data on socioeconomic variables, such as sick pay and unemployment rates, were assembled by members of the study team in each country. Associations of sickness absence with risk factors were examined by Poisson regression. Results Overall, there were more than 30-fold differences between occupational groups in the 12- month prevalence of prolonged musculoskeletal sickness absence, and even among office workers carrying out similar occupational tasks, the variation was more than tenfold. Personal risk factors included older age, lower educational level, tendency to somatise, physical loading at work and prolonged absence for non-musculoskeletal illness. However, these explained little of the variation between occupational groups. After adjustment for individual characteristics, prolonged musculoskeletal sickness absence was more frequent in groups with greater time pressure at work, lower job control and more adverse beliefs about the work-relatedness of musculoskeletal disorders. Conclusions Musculoskeletal sickness absence might be reduced by eliminating excessive time pressures in work, maximising employees' responsibility and control and providing flexibility of duties for those with disabling symptoms. Care should be taken not to overstate work as a cause of musculoskeletal injury.
UR - http://www.scopus.com/inward/record.url?scp=84880698907&partnerID=8YFLogxK
U2 - 10.1136/oemed-2012-101316
DO - 10.1136/oemed-2012-101316
M3 - Article
C2 - 23695413
AN - SCOPUS:84880698907
SN - 1351-0711
VL - 70
SP - 575
EP - 584
JO - Occupational and Environmental Medicine
JF - Occupational and Environmental Medicine
IS - 8
ER -