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Occupational Medicine Advance Access first published online on June 27, 2008
This version published online on July 29, 2008

Occupational Medicine, doi:10.1093/occmed/kqn084
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© The Author 2008. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Short Report

Sickness absence for upper limb disorders in a French company

Kayigan Wilson d'Almeida1,2, Catherine Godard2, Annette Leclerc1 and Gérard Lahon2

1 Institut National de la Santé et de la Recherche Médicale (INSERM) U687, Bâtiment 15-16, 16 Avenue Paul Vaillant Couturier, 94807 Villejuif Cedex, France
2 Service Général de Médecine de Contrôle, EDF-Gaz de France, 22-28 rue de Joubert, 75009 Paris, France

Correspondence to: Kayigan Wilson d'Almeida, INSERM U687, Bâtiment 15-16, 16 Avenue Paul Vaillant Couturier, 94807 Villejuif Cedex, France. Tel: +33 6 16254971; fax: +33 1 77747403; e-mail: kayialmeida{at}hotmail.com


    Abstract
 Top
 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 
Background Many studies have shown that musculoskeletal disorders (MSDs) have important economic and social consequences, including substantial costs and loss of productivity for industries. However, little is known about the impact of these conditions on sickness absence in industries.

Aim To describe the sickness absence taken for MSDs of the upper limb (ULD) in a French company and to study their association with demographic and socioeconomic factors.

Methods Sickness absence from 2000 to 2004 (5543 episodes) was studied using data from the company's epidemiology registry and a questionnaire for each episode was completed by physicians. Incidence rates were calculated according to the gender, socioeconomic status and age.

Results The incidence rate of absence for ULD was six episodes per 1000 person-years. Rotator cuff syndrome and carpal tunnel syndrome were the most frequent diagnoses. Less frequent diagnoses, such as Guyon's canal syndrome, had longer sickness absence (55.3 days). Incidence was higher for women and blue-collar workers. Incidence also increased with age.

Conclusions These results are consistent with other studies. Although absenteeism cannot be a surrogate for disease burden or incidence, it may be useful in the prevention of ULD, as it identifies the most disabling diagnoses and the working groups most at risk.

Keywords      Carpal tunnel syndrome; industry; rotator cuff; sickness absence; upper limb disorder


    Introduction
 Top
 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 
Musculoskeletal disorders (MSDs) are an important public health issue due to their socioeconomic consequences [14]. In recent decades, research has helped to improve epidemiological knowledge and management of MSDs, particularly of those affecting the upper limb (ULDs). Less is known, however, about their impact on sickness absence in industry. Studies focusing on workers’ compensation include only a proportion of workers [5], as sickness absence without compensation claims for work-related injuries is frequent in countries such as France, where workers are compensated for disability leave regardless of whether the health problem is work related.

Our objectives were to describe the sickness absence episodes for ULD in the French national power and gas company—Electricité de France and Gaz de France (EDF–GDF)—and to study their association with age, gender and socioeconomic status (SES).


    Methods
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 Abstract
 Introduction
 Methods
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 Discussion
 Conflicts of interest
 References
 
The study population comprised 134 255 workers from EDF–GDF. EDF–GDF has its own medical insurance system handled by a department called Service Géneral de Médecine de Contrôle (SGMC). A requirement of this medical system is compulsory verification of any sickness absence. All employees with sickness absence must see a SGMC physician, who codes diagnoses according to a simplified version of the International Classification of Diseases [6]. The information is then recorded in an epidemiology registry. The items available in the latter database include absences with diagnosis and duration and the worker's profile (age, gender, occupation and industrial sector).

The database of sickness absence from January 2000 to December 2004 was reviewed to identify the absences that could have been due to ULD. Long-term sickness absence (1 year or more) was excluded as available data suggested that an absence for ULD would rarely be so long. We anticipated that ULD would be coded as disease of the locomotor system, aponeuroses and tendons; arthroses or diseases of the nervous system not due to alcohol. A preliminary selection of these categories identified 21 890 sickness absence episodes possibly due to ULD. For each, a questionnaire was sent to the company physician, who checked whether it was an ULD and coded the diagnoses according to a list derived from a European consensus [7]. Finally, 5543 sickness absence episodes were classified as due to ULD.

Annual incidence rates for sickness absence due to ULD were calculated by gender, age, diagnosis and SES coded according to the French classification [8]. The number of workers with at least one absence due to ULD was divided by the number of full-time equivalent workers aged 20–59 years in the corresponding category. Incidence rates according to the SES were calculated only for 2004 since this information was not available for the other years. The number of workdays lost per diagnosis was calculated. Differences in rates were tested using a chi-square test. P-values <0.05 were considered statistically significant throughout the analysis.

This study was carried out in accordance with the ethical requirements for epidemiological research in France.


    Results
 Top
 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 
Among the 5543 sickness absence episodes, rotator cuff syndrome was diagnosed most frequently, accounting for 31% of absences (Table 1). Other common diagnoses were carpal tunnel syndrome (16%), epicondylitis (14%) and neck MSD (11%). Less frequent diagnoses included extensor/flexor tendonitis and tenosynovitis (8%), elbow, wrist and fingers arthritis (3%), cubital tunnel syndrome (2%), De Quervain's disease (1%), Guyon's canal syndrome (0.6%), radial tunnel syndrome (0.4%) and neuropathy caused by vibrations (0.2%). ‘Other’ ULD, coded as such because they did not match any of the diagnoses proposed in the questionnaire, accounted for 13% of absences.


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Table 1. Diagnoses associated with sickness absencea and average duration of sickness absences during the study period (2000–04)

 
Among the frequent diagnoses, carpal tunnel syndrome and rotator cuff syndrome were associated with the longest duration of sickness absence (36.7 and 30.8 days, respectively). Longer absences were also found for less frequent diagnoses, such as Guyon's canal syndrome (55.3 days).

Most of the workers (77%) had a single sickness absence episode for ULD during the study period. For the remainder, there were predominantly multiple absences for the same diagnosis. The incidence rate of sickness absence spells due to ULD increased from 5.3 in 2000 to 6.3 per 1000 person-years in 2004. Sickness absence for ULD increased with age and incidence was higher for women than for men (6.5 and 5.7 per 1000 person-years, respectively, P < 0.01). Sickness absence due to ULD was associated with SES (P < 0.001). Office and blue-collar workers had a higher risk than managers and professionals or intermediate white-collar occupations (Figure 1).


Figure 1
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Figure 1. Annual incidence of sickness absence episodes due to ULD according to the SES (incidence per 100 person-years, year 2004).

 

    Discussion
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 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 
Our study found the annual incidence of sickness absence due to ULD to be six episodes per 1000 person-years. This result cannot be compared to findings in other studies, as we are unaware of other research reporting incidence of sickness absence for ULD [9]. Absenteeism cannot be a surrogate for disease burden or incidence as it depends on attitudes to sickness absence, which has many determinants. Nevertheless, absenteeism is one dimension of the severity of the disorders and a useful indicator for the company and of the societal cost.

The study's weaknesses are its retrospective design and the absence of a standardized clinical examination. Moreover, the shortest absence episodes were not always seen by the physicians (in 2006, 28% of episodes ≤7 days were not checked). Nonetheless, only a few episodes of sickness absence due to ULD were likely to have been missed, since their duration was usually longer (Table 1).

The higher incidence of sickness absence episodes for ULD among women, the increase with age and the association with SES are consistent with the literature [10,11].

The most common diagnoses for ULDs resulting in sickness absence were rotator cuff syndrome, carpal tunnel syndrome, epicondylitis and neck MSD. Sickness absence due to ULD was associated with SES, gender (women had a higher risk) and age (incidence increased with age). Absenteeism could be a useful indicator in the prevention of ULD, as it identifies the most disabling diagnoses as shoulder disorders and shows that older workers, especially manual and office workers, are those most at risk.


Key points
  • Little is known about the impact of ULD on sickness absence in industry.
  • Sickness absence due to ULD was associated with SES, gender and age.
  • Absenteeism can be used to identify the most disabling diagnoses and the working groups at most risk in a preventive approach.

 


    Conflicts of interest
 Top
 Notes
 Abstract
 Introduction
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 Conflicts of interest
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None declared.


    Acknowledgements
 
The authors thank the regional and local physicians of the medical insurance system of EDF-Gaz de France for their involvement in this study, Christine Boileau and Bernadette Michelin for their advices in carrying out this study.


    Notes
 Top
 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 
The original version was incorrect as the author names were not presented correctly.


    References
 Top
 Notes
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conflicts of interest
 References
 

  1. Morse TF, Dillon C, Warren N, Levenstein C, Warren A. The economic and social consequences of work-related musculoskeletal disorders: the Connecticut Upper-Limb Surveillance Project (CUSP). Int J Occup Environ Health (1998) 4:209–216.[Medline]

  2. Thiehoff R. [Economic significance of work disability caused by musculoskeletal disorders]. Orthopade (2002) 31:949–956.[CrossRef][Web of Science][Medline]

  3. Roux CH, Guillemin F, Boini S, et al. Impact of musculoskeletal disorders on quality of life: an inception cohort study. Ann Rheum Dis (2005) 64:606–611.[Abstract/Free Full Text]

  4. Morken T, Riise T, Moen B, et al. Frequent musculoskeletal symptoms and reduced health-related quality of life among industrial workers. Occup Med (Lond) (2002) 52:91–98.[CrossRef][Medline]

  5. Hashemi L, Webster BS, Clancy EA, Courtney TK. Length of disability and cost of work-related musculoskeletal disorders of the upper limb. J Occup Environ Med (1998) 40:261–269.[CrossRef][Web of Science][Medline]

  6. World Health Organization (WHO). International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Version for 2005. http://www.who.int/classifications/apps/icd/icd10online2005/fr-icd.htm (May 2008, date last accessed).

  7. Sluiter JK, Rest KM, Frings-Dresen MH. Criteria document for evaluating the work-relatedness of upper-limb musculoskeletal disorders. Scand J Work Environ Health (2001) 27(Suppl. 1):1–102.[Web of Science][Medline]

  8. Institut National de la Statistique et des Etudes Economiques (INSEE). http://www.insee.fr/fr/nom_def_met/nomenclatures/prof_cat_soc/html/L03_N1.HTM (May 2008, date last accessed).

  9. Huisstede BM, Bierma-Zeinstra SM, Koes BW, Verhaar JA. Incidence and prevalence of upper-extremity musculoskeletal disorders. A systematic appraisal of the literature. BMC Musculoskelet Disord (2006) 7:7.[CrossRef][Medline]

  10. Melchior M, Krieger N, Kawachi I, et al. Work factors and occupational class disparities in sickness absence: findings from the GAZEL cohort study. Am J Public Health (2005) 95:1206–1212.[Abstract/Free Full Text]

  11. Wijnhoven HA, de Vet HC, Picavet HS. Prevalence of musculoskeletal disorders is systematically higher in women than in men. Clin J Pain (2006) 22:717–724.[CrossRef][Web of Science][Medline]


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