Social position modifies the association between severe shoulder/arm and knee/leg pain, and quality of life after retirement
Tóm tắt
Musculoskeletal disorders are extremely frequent and account for an important part of the global burden of disease. Risk factors for musculoskeletal disorders include sustained occupational exposure to physically demanding jobs. The effects of sustained occupational physical exposures on knee and shoulder pain are known to persist after retirement; also, several studies have shown a socio-economic gradient in health and quality-of-life outcomes, including for musculoskeletal pain. It is thus possible that prolonged occupational exposures affect workers differently in the long-term along a socio-economic gradient. This study was conducted to investigate whether the impacts of severe shoulder/arm and knee/leg pain on the quality of life of retired workers follow a socio-economic gradient. Data from the French GAZEL cohort study (n = 14,249) were used to compare the impacts of severe shoulder/arm and knee/leg pain separately on the SF-36, Nottingham Health Profile and limitations in activities of daily living measured in 2006 and 2007, between four groups of social position (measured in 1989). Analyses were made in 2014 with multiple linear and logistic regressions and stratified by sex. For both pain sites, in men and women, there was a strong general tendency for the impacts of severe pain to be smaller among participants in higher social positions. Most important differences were related to pain and physical limitations. These results suggest inequalities in the impacts of severe joint pain by socio-economic status. The source of these inequalities is still speculative and merits the scientific attention.
Tài liệu tham khảo
Aittomaki A, Lahelma E, Rahkonen O, Leino-Arjas P, Martikainen P (2007) The contribution of musculoskeletal disorders and physical workload to socioeconomic inequalities in health. Eur J Public Health 17(2):145–150
Angst F, Aeschlimann A, Stucki G (2001) Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities. Arthritis Rheum 45(4):384–391
Baker P, Reading I, Cooper C, Coggon D (2003) Knee disorders in the general population and their relation to occupation. Occup Environ Med 60(10):794–797
Berkman LF, Melchior M, Chastang JF, Niedhammer I, Leclerc A, Goldberg M (2004) Social integration and mortality: a prospective study of French employees of Electricity of France–Gas of France: the GAZEL cohort. Am J Epidemiol 159(2):167–174
Bernard BP (1997) Musculoskeletal disorders and workplace factors: a critical review of epidemiologic evidence for work-related musculoskeletal disorders of the neck, the upper-limb, and low back. Centers for Disease Control and Prevention, NIOSH, Cincinnati, OH
Breeze E, Jones DA, Wilkinson P, Latif AM, Bulpitt CJ, Fletcher AE (2004) Association of quality of life in old age in Britain with socioeconomic position: baseline data from a randomised controlled trial. J Epidemiol Community Health 58(8):667–673
Brennan SL, Williams LJ, Berk M, Pasco JA (2013) Socioeconomic status and quality of life in population-based Australian men: data from the Geelong Osteoporosis Study. Aust N Z J Public Health 37(3):226–232
Bucquet D, Condon S (1988) [Adaptation en français du Nottingham Health Profile et caractéristiques opératoires de la version française]. INSERM U-164, Paris
Bucquet D, Condon S, Ritchie K (1990) The French version of the Nottingham Health Profile. A comparison of items weights with those of the source version. Soc Sci Med 30(7):829–835
Burstrom K, Johannesson M, Diderichsen F (2001) Health-related quality of life by disease and socio-economic group in the general population in Sweden. Health Policy 55(1):51–69
Cambois E, Jusot F (2011) Contribution of lifelong adverse experiences to social health inequalities: findings from a population survey in France. Eur J Public Health 21(5):667–673
Carr-Hill RA, Kind P (1989) The Nottingham Health Profile. Soc Sci Med 28(8):885
Cassel J (1976) The contribution of the social environment to host resistance: the Fourth Wade Hampton Frost Lecture. Am J Epidemiol 104(2):107–123
Checkoway H, Pearce N, Crawford-Brown DJ (1989) Research methods in occupational epidemiology. Oxford University Press, New York
Cozzensa da Silva M, Fassa AG, Rodrigues Domingues M, Kriebel D (2007) Knee pain and associated occupational factors: a systematic review. Cad Saude Publica 23(8):1763–1775
Dalstra JA et al (2005) Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int J Epidemiol 34(2):316–326
Descatha A et al (2007) Validity of Nordic-style questionnaires in the surveillance of upper-limb work-related musculoskeletal disorders. Scand J Work Environ Health 33(1):58–65
Descatha A et al (2011) Long-term effects of biomechanical exposure on severe knee pain in the Gazel cohort. Scand J Work Environ Health 37(1):37–44
Descatha A et al (2012) Long-term effects of biomechanical exposure on severe shoulder pain in the Gazel cohort. Scand J Work Environ Health 38(6):568–576
Dionne C, Koepsell TD, Von Korff M, Deyo RA, Barlow WI, Checkoway H (1995) Formal education and back-related disability. In search of an explanation [published erratum appears in Spine 1996 May 15;21(10):1200]. Spine 20(24):2721–2730
Dionne CE, Von Korff M, Koepsell TD, Deyo RA, Barlow WE, Checkoway H (2001) Formal education and back pain: a review. J Epidemiol Community Health 55(7):455–468
Escobar A, Quintana JM, Bilbao A, Arostegui I, Lafuente I, Vidaurreta I (2007) Responsiveness and clinically important differences for the WOMAC and SF-36 after total knee replacement. Osteoarthritis Cartilage 15(3):273–280
Farioli A, Mattioli S, Quaglieri A, Curti S, Violante FS, Coggon D (2014) Musculoskeletal pain in Europe: the role of personal, occupational, and social risk factors. Scand J Work Environ Health 40(1):36–46
Feinstein JS (1993) The relationship between socioeconomic status and health: a review of the literature. Milbank Q 71(2):279–322
Ferguson RJ, Robinson AB, Splaine M (2002) Use of the reliable change index to evaluate clinical significance in SF-36 outcomes. Qual Life Res 11(6):509–516
Ferrie JE et al (2011) Differences in the association between sickness absence and long-term sub-optimal health by occupational position: a 14-year follow-up in the GAZEL cohort. Occup Environ Med 68(10):729–733
Goldberg M et al (2007) Cohort profile: the GAZEL cohort study. Int J Epidemiol 36(1):32–39
Goldberg M, Leclerc A, Zins M (2015) Cohort profile update: The GAZEL cohort study. Int J Epidemiol 44(1):77–77g. doi:10.1093/ije/dyu224
Grossman M (1972) The demand for health: a theoretical and empirical investigation. National Bureau of Economic Research, New York
Hagberg M et al (2012) Prevention of musculoskeletal disorders in workers: classification and health surveillance—statements of the Scientific Committee on Musculoskeletal Disorders of the International Commission on Occupational Health. BMC Musculoskelet Disord 13:109. doi:10.1186/1471-2474-13-109
Hosseinpoor AR et al (2013) Socioeconomic inequality in disability among adults: a multicountry study using the World Health Survey. Am J Public Health 103(7):1278–1286
Hoy D et al (2014) The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis 73(6):968–974
Huguet N, Kaplan MS, Feeny D (2008) Socioeconomic status and health-related quality of life among elderly people: results from the Joint Canada/United States Survey of Health. Soc Sci Med 66(4):803–810
Hunt S, McKenna S (1992) Uses and abuses of the Nottingham Health Profile. Br J Med Econ 4:25–35
Idler EL, Benyamini Y (1997) Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 38(1):21–37
Institut national de la statistique et des études économiques (France) (1983) Guide des catégories socioprofessionnelles: nomenclature PCS des professions et catégories socioprofes-sionnelles, 1ère éd. INSEE, Paris
Institute for Health Metrics and Evaluation (2014) Global burden of disease—data visualization—DALYs. In: IHME, University of Washington
International Labour Organization (2013) The prevention of occupational diseases. Geneva
Jacobs JJ et al (2008) The burden of musculoskeletal diseases in the United States. American Academy of Orthopaedic Surgeons, Rosemont, USA
Jacobsson L, Lindgarde F, Manthorpe R, Ohlsson K (1992) Effect of education, occupation and some lifestyle factors on common rheumatic complaints in a Swedish group aged 50–70 years. Ann Rheum Dis 51(7):835–843
Jenkinson C (1991) Why are we weighting? A critical examination of the use of item weights in a health status measure. Soc Sci Med 32(12):1413–1416
Jensen LK (2008) Knee osteoarthritis: influence of work involving heavy lifting, kneeling, climbing stairs or ladders, or kneeling/squatting combined with heavy lifting. Occup Environ Med 65(2):72–89
Jensen LK, Eenberg W (1996) Occupation as a risk factor for knee disorders. Scand J Work Environ Health 22(3):165–175
Keller SD, Majkut TC, Kosinski M, Ware JE Jr (1999) Monitoring health outcomes among patients with arthritis using the SF-36 Health Survey: overview. Med Care 37(5 Suppl):MS1–MS9
Khatun M, Ahlgren C, Hammarstrom A (2004) The influence of factors identified in adolescence and early adulthood on social class inequities of musculoskeletal disorders at age 30: a prospective population-based cohort study. Int J Epidemiol 33(6):1353–1360
Kuorinka I et al (1987) Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon 18(3):233–237
Latza U, Kohlmann T, Deck R, Raspe H (2000) Influence of occupational factors on the relation between socioeconomic status and self-reported back pain in a population-based sample of German adults with back pain. Spine 25(11):1390–1397
Latza U, Kohlmann T, Deck R, Raspe H (2004) Can health care utilization explain the association between socioeconomic status and back pain? Spine 29(14):1561–1566
Mackenbach JP (1992) Socio-economic health differences in the Netherlands: a review of recent empirical findings. Soc Sci Med 34(3):213–226
Maetzel A, Makela M, Hawker G, Bombardier C (1997) Osteoarthritis of the hip and knee and mechanical occupational exposure—a systematic overview of the evidence. J Rheumatol 24(8):1599–1607
Marmot MG, Kogevinas M, Elston MA (1987) Social/economic status and disease. Annu Rev Public Health 8:111–135
Marmot M, Ryff CD, Bumpass LL, Shipley M, Marks NF (1997) Social inequalities in health: next questions and converging evidence. Soc Sci Med 44(6):901–910
McDonald M, DiBonaventura M, Ullman S (2011) Musculoskeletal pain in the workforce: the effects of back, arthritis, and fibromyalgia pain on quality of life and work productivity. J Occup Environ Med 53(7):765–770
McWilliams DF, Leeb BF, Muthuri SG, Doherty M, Zhang W (2011) Occupational risk factors for osteoarthritis of the knee: a meta-analysis. Osteoarthritis Cartilage 19(7):829–839
Melchior M, Berkman LF, Niedhammer I, Chea M, Goldberg M (2003) Social relations and self-reported health: a prospective analysis of the French Gazel cohort. Soc Sci Med 56(8):1817–1830
Melchior M, Krieger N, Kawachi I, Berkman LF, Niedhammer I, Goldberg M (2005) Work factors and occupational class disparities in sickness absence: findings from the GAZEL cohort study. Am J Public Health 95(7):1206–1212
Mielck A, Vogelmann M, Leidl R (2014) Health-related quality of life and socioeconomic status: inequalities among adults with a chronic disease. Health Qual Life Outcomes 12:58. doi:10.1186/1477-7525-12-58
Morken T et al (2002) Frequent musculoskeletal symptoms and reduced health-related quality of life among industrial workers. Occup Med (Lond) 52(2):91–98
Pincus T (1988) Formal educational level—a marker for the importance of behavioral variables in the pathogenesis, morbidity, and mortality of most diseases? J Rheumatol 15(10):1457–1460
Pincus T, Callahan LF (1995) What explains the association between socioeconomic status and health: primarily access or medical care or mind-body variables? Advances: The Journal of Mind-Body Health 11:4–36
Pincus T, Callaghan LF, Burkhauser RV (1987a) Most chronic diseases are reported more frequently by individuals with fewer than 12 years of formal education in the age 18–64 United States population. J Chron Dis 40:865–874
Pincus T, Callahan LF, Burkhauser RV (1987b) Most chronic diseases are reported more frequently by individuals with fewer than 12 years of formal education in the age 18–64 United States population. J Chronic Dis 40(9):865–874
Platts LG et al (2013) Physical occupational exposures during working life and quality of life after labour market exit: results from the GAZEL study. Aging Ment Health 17(6):697–706
Pope DP, Silman AJ, Cherry NM, Pritchard C, Macfarlane GJ (2001) Association of occupational physical demands and psychosocial working environment with disabling shoulder pain. Ann Rheum Dis 60(9):852–858
SAS Institute Inc. (2000) The SAS System for Sun OS. SAS Institute Inc., Cary, NC
Smith E et al (2014) The global burden of other musculoskeletal disorders: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis 73(8):1462–1469. doi:10.1136/annrheumdis-2013-204680
Sobti A, Cooper C, Inskip H, Searle S, Coggon D (1997) Occupational physical activity and long-term risk of musculoskeletal symptoms: a national survey of post office pensioners. Am J Ind Med 32(1):76–83
Syme SL, Berkman LF (1976) Social class, susceptibility and sickness. Am J Epidemiol 104(1):1–8
van der Windt DA et al (2000) Occupational risk factors for shoulder pain: a systematic review. Occup Environ Med 57(7):433–442
van Duijn M, Lotters F, Burdorf A (2004) Interrelationships between pain, disability, general health, and quality of life and associations with work-related and individual factors: a study among workers on sickness absence for 2 to 6 weeks for musculoskeletal complaints. Spine (Phila Pa 1976) 29(19):2178–2183
Ware J (1993) SF-36 Health Survey: manual and interpretation guide. The Health Institute, New England Medical Center, Boston, USA
Wiklund I (1990) The Nottingham Health Profile—a measure of health-related quality of life. Scand J Prim Health Care Suppl 1:15–18