The burden of musculoskeletal conditions

Clémence Palazzo, Jean-François Ravaud, Agathe Papelard, Philippe Ravaud, Serge Poiraudeau, Clémence Palazzo, Jean-François Ravaud, Agathe Papelard, Philippe Ravaud, Serge Poiraudeau

Abstract

Objective: Despite the burden of rheumatic and musculoskeletal diseases (RMDs), these conditions probably deserve more attention from public health authorities in several countries including developed ones. We assessed their contribution to disability.

Methods: Data on disabilities associated with RMDs were extracted from the national 2008-2009 Disability-Health Survey of 29,931 subjects representative of the population in France. We used the core set of disability categories for RMDs of the World Health Organization's International Classification of Functioning, Disability and Health for analysis. Diagnosis and disabilities were self-reported. We assessed the risk of disability associated with RMDs using odds ratios (ORs) and the societal impact of RMDs using the average attributable fraction (AAF).

Results: Overall 27.7% (about 17.3 million people) (95% CI 26.9-28.4%) of the population reported having RMDs. The most prevalent RMDs were low back pain (12.5%, 12.1-13.1) and osteoarthritis (12.3%, 11.8-12.7). People reporting osteoarthritis were more disabled in walking (adjusted OR 1.9, 1.7-2.2) than those without. People reporting inflammatory arthritis were more limited in activities of daily living (from 1.4, 1.2-1.8 for walking to 2.1, 1.5-2.9 for moving around). From a societal perspective, osteoarthritis was the main contributor to activity limitations (AAF 22% for walking difficulties). Changing jobs was mainly attributed to neck pain (AAF 13%) and low back pain (11.5%).

Conclusion: RMDs are highly prevalent and significantly affect activity limitations and participation restrictions. More effort is needed to improve care and research in this field.

Conflict of interest statement

Competing Interests: This study was supported by the The Head Office of Research, Studies, Evaluation and Statistics (DREES) of the Social Affairs Ministry of France and Pfizer. S. Poiraudeau received fees from Pfizer for consultancy. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

Figures

Figure 1. Design of the representative national…
Figure 1. Design of the representative national “Disability-Health” survey.
INSEE  =  French National Institute of Statistics and Economic Studies.
Figure 2. Prevalence of RMDs in France…
Figure 2. Prevalence of RMDs in France by age.
Figure 3. Average attributable fraction (AAF) estimates…
Figure 3. Average attributable fraction (AAF) estimates (%) for disability categories of the core set for RMDs of the WHO-ICF and RMDs from the 2008–2009 Disability-Health Survey in France.

References

    1. Vos T, Flaxman A, Naghavi M, Lozano R, Michaud C, et al. (2012) Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380: 2163–96.
    1. Palazzo C, Ravaud JF, Trinquart L, Dalichampt M, Ravaud P, et al. (2012) Respective contribution of chronic conditions to disability in France: results from the national Disability-Health Survey. PLoS One 9: e44994.
    1. Guo HR, Tanaka S, Halperin WE, Cameron LL (1999) Back pain prevalence in US industry and estimates of lost workdays. Am J Public Health 7: 1029–35.
    1. Boonen A, van den Heuvel R, van Tubergen A, Goossens M, Severens JL, et al. (2005) Large differences in cost of illness and wellbeing between patients with fibromyalgia, chronic low back pain, or ankylosing spondylitis. Ann Rheum Dis 3: 396–402.
    1. Woolf AD, Pfleger B (2003) Burden of major musculoskeletal conditions Bull World Health Organ. 9: 646–56.
    1. Nuesch E, Dieppe P, Reichenbach S, Williams S, Iff S, et al. (2011) All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study. BMJ 342: d1165.
    1. Murray CJ, Richards MA, Newton JN, Fenton KA, Anderson HR, et al. (2013) UK health performance: findings of the Global Burden of Disease Study 2010. Lancet 9871: 997–1020.
    1. Krishnan E, Lingala B, Bruce B, Fries JF (2012) Disability in rheumatoid arthritis in the era of biological treatments. Ann Rheum Dis 2: 213–8.
    1. Kwok WY, Vliet Vlieland TP, Rosendaal FR, Huizinga TW, Kloppenburg M (2011) Limitations in daily activities are the major determinant of reduced health-related quality of life in patients with hand osteoarthritis. Ann Rheum Dis 2: 334–6.
    1. Gebhardt C, Kirchberger I, Stucki G, Cieza A (2010) Validation of the comprehensive ICF Core Set for rheumatoid arthritis: the perspective of physicians. J Rehabil Med 8: 780–8.
    1. Cieza A, Schwarzkopf S, Sigl T, Stucki G, Melvin J, et al. (2004) ICF Core Sets for osteoporosis. J Rehabil Med 44 Suppl: 81–6
    1. Stucki G, Ewert T (2005) How to assess the impact of arthritis on the individual patient: the WHO ICF. Ann Rheum Dis 5: 664–8.
    1. Schwarzkopf SR, Ewert T, Dreinhofer KE, Cieza A, Stucki G (2008) Towards an ICF Core Set for chronic musculoskeletal conditions: commonalities across ICF Core Sets for osteoarthritis, rheumatoid arthritis, osteoporosis, low back pain and chronic widespread pain. Clin Rheumatol 11: 1355–61.
    1. Cieza A, Stucki G, Weigl M, Disler P, Jackel W, et al. (2004) ICF Core Sets for low back pain. J Rehabil Med 44 Suppl: 69–74
    1. World Health Organisation (2001) International Classification of Functioning, Disability and Health (ICF). Available: . Accessed 15 december 2012.
    1. Knight M, Stewart Brown S, Fletcher L (2001) Estimating health needs: the impact of a checklist of conditions and quality of life measurement on health information derived from community surveys. J Public Health Med 3: 179–86.
    1. Eide GE, Gefeller O (1995) Sequential and average attributable fractions as aids in the selection of preventive strategies. J Clin Epidemiol 5: 645–55.
    1. Ruckinger S, von Kries R, Toschke AM (2009) An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors. BMC Med Res Methodol 9: 7.
    1. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, et al. (2012) Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 9836: 37–43.
    1. Wolfe F, Michaud K, Li T, Katz RS (2010) Chronic conditions and health problems in rheumatic diseases: comparisons with rheumatoid arthritis, noninflammatory rheumatic disorders, systemic lupus erythematosus, and fibromyalgia. J Rheumatol 2: 305–15.
    1. European Commision (2007) Health in the European Union. Special Eurobarometer. Available: . Accessed 25 june 2013.
    1. The European Musculoskeletal Conditions Surveillance and Information Network (2012) Musculoskeletal Health status in Europe v5 2012. Available: . Accessed 25 june 2013.
    1. Picavet HS, Hazes JM (2003) Prevalence of self reported musculoskeletal diseases is high. Ann Rheum Dis 7: 644–50.
    1. Chopra A (2013) The COPCORD world of musculoskeletal pain and arthritis. Rheumatology 11: 1925–8.
    1. Song J, Chang RW, Dunlop DD (2006) Population impact of arthritis on disability in older adults. Arthritis Rheum 2: 248–55.
    1. Buchbinder R, Jolley D, Wyatt M (2001) 2001 Volvo Award Winner in Clinical Studies: Effects of a media campaign on back pain beliefs and its potential influence on management of low back pain in general practice. Spine (Phila Pa 1976) 23: 2535–42.
    1. Nikolaus S, Bode C, Taal E, van de Laar MA (2013) Fatigue and factors related to fatigue in rheumatoid arthritis: A systematic review. Arthritis Care Res (Hoboken) 17..
    1. Baumeister H, Kriston L, Bengel J, Harter M (2010) High agreement of self-report and physician-diagnosed somatic conditions yields limited bias in examining mental-physical comorbidity. J Clin Epidemiol 5: 558–65.
    1. Helmick CG, Felson DT, Lawrence RC, Gabriel S, Hirsch R, et al. (2008) Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part I. Arthritis Rheum 1: 15–25.
    1. Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 9319: 1761–7.
    1. Castro Sanchez AM, Mataran Penarrocha GA, Lopez Rodriguez MM, Lara Palomo IC, Arendt Nielsen L, et al. (2012) Gender differences in pain severity, disability, depression, and widespread pressure pain sensitivity in patients with fibromyalgia syndrome without comorbid conditions. Pain Med 12: 1639–47.

Source: PubMed

3
Suscribir