Prevalence of musculoskeletal disorders in an area covered by a Health Center
DOI:
https://doi.org/10.5712/rbmfc19(46)4195Keywords:
Musculoskeletal diseases, Primary Health Care, Epidemiology.Abstract
Introduction: Musculoskeletal disorders are important causes of physical disability that result in reduced quality of life and increased health costs. Objective: To describe the prevalence of symptoms of musculoskeletal disorders and the physical disability associated with these symptoms in an area covered by a Health Center in a peri-urban area. In addition, we analyzed the association of the presence of these symptoms with demographic characteristics and the most frequent chronic diseases. Methods: This is a cross-sectional study carried out in the area covered by a peri-urban Health Center between August 2018 and February 2019 in which people over 15 years of age, randomly selected, were interviewed using the questionnaire from the first phase of the Community Oriented Program for Control of Rheumatic Diseases (COPOCORD), translated and validated into Brazilian Portuguese. They were also asked about the presence of other chronic diseases and medications in use. In addition, each participant’s weight, height, and waist circumference were measured. The first two were used to calculate the body mass index. Results: A total of 372 people were interviewed with a mean age of 46.5 (±18.3) years, 212 (57%) of whom were women. The prevalence of individuals who presented symptoms of musculoskeletal disorders in the last seven days was 66.4% (95%CI: 61.6–71.2). About half (48.6%) and almost a quarter (24.2%) interviewees reported symptoms of moderate and severe intensity, respectively. The most affected sites were the back (50.27%), the neck (34.9%), and the knees (30.64%). The vast majority, 209/247 (84.6%), reported pain in more than one site and 129/247 (52.2%) reported physical impairments in activities of daily living. Of the 247 individuals, 102 (41.3%) sought medical assistance, the majority, 70/102 (68.6%), at the Health Center. Individuals with symptoms of musculoskeletal disorders had a significantly higher mean age and body mass index than individuals without these symptoms. They also had a higher frequency of diabetes and anxiety and/or depression. However, in multivariate analysis, no variable was an independent predictor of symptoms of musculoskeletal disorders. Conclusions: Symptoms of musculoskeletal disorders are prevalent in this community and primary health care must be prepared for the management and rehabilitation of people with these disorders.
Downloads
Metrics
References
GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017;390(10100):1211-59. https://doi.org/10.1016/S0140-6736(17)32154-2 DOI: https://doi.org/10.1016/S0140-6736(17)32154-2
Sebbag E, Felten R, Sagez F, Sibilia J, Devilliers H, Arnaud L. The world-wide burden of musculoskeletal diseases: a systematic analysis of the World Health Organization Burden of Diseases Database. Ann Rheum Dis 2019;78(6):844-8. https://doi.org/10.1136/annrheumdis-2019-215142 DOI: https://doi.org/10.1136/annrheumdis-2019-215142
GBD 2021 Diseases and Injuries Collaborators. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024;403(10440):2133-61. https://doi.org/10.1016/S0140-6736(24)00757-8 DOI: https://doi.org/10.1016/S0140-6736(24)00757-8
Cieza A, Causey K, Kamenov K, Hanson SW, Chatterji S, Vos T. Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2021;396(10267):2006-17. https://doi.org/10.1016/S0140-6736(20)32340-0 DOI: https://doi.org/10.1016/S0140-6736(20)32340-0
Briggs AM, Woolf AD, Dreinhöfer K, Homb N, Hoy DG, Kopansky-Giles D, et al. Reducing the global burden of musculoskeletal conditions. Bull World Health Organ 2018;96(5):366-8. https://doi.org/10.2471/BLT.17.204891 DOI: https://doi.org/10.2471/BLT.17.204891
Cento AS, Leigheb M, Caretti G, Penna F. Exercise and Exercise Mimetics for the Treatment of Musculoskeletal Disorders. Curr Osteoporos Rep 2022;20(5):249-59. https://doi.org/10.1007/s11914-022-00739-6 DOI: https://doi.org/10.1007/s11914-022-00739-6
van der Zee-Neuen A, Putrik P, Ramiro S, Keszei A, de Bie R, Chorus A, et al. Impact of Chronic Diseases and Multimorbidity on Health and Health Care Costs: The Additional Role of Musculoskeletal Disorders. Arthritis Care Res (Hoboken) 2016;68(12):1823-31. https://doi.org/10.1002/acr.22913 DOI: https://doi.org/10.1002/acr.22913
Williams A, Kamper SJ, Wiggers JH, O’Brien KM, Lee H, Wolfenden L, et al. Musculoskeletal conditions may increase the risk of chronic disease: a systematic review and meta-analysis of cohort studies. BMC Med 2018;25;16(1):167. https://doi.org/10.1186/s12916-018-1151-2 DOI: https://doi.org/10.1186/s12916-018-1151-2
Bennett K, Cardiel MH, Ferraz MB, Riedemann P, Goldsmith CH, Tugwell P. Community screening for rheumatic disorder: cross cultural adaptation and screening characteristics of the COPCORD Core Questionnaire in Brazil, Chile, and Mexico. The PANLAR-COPCORD Working Group. Pan American League of Associations for Rheumatology. Community Oriented Programme for the Control of Rheumatic Disease. J Rheumatol 1997;24(1):160-8. PMID: 9002028
Instituto Brasileiro de Geografia e Estatística (IBGE). Censo 2010 [Internet]. IBGE; 2010 [acessado em 10 fev. 2017]. Disponível em: http://mapasinterativos.ibge.gov.br/grade/default.html
Jennings F, Sato EI, Pinheiro GRC, Ferraz MB. Evaluation of functional capacity in individuals with signs and symptoms of musculoskeletal disease: results of the BRAZCO population study (Brazilian COPCORD study). Rheumatol Int 2015;35(11):1873-9. https://doi.org/10.1007/s00296-015-3299-9 DOI: https://doi.org/10.1007/s00296-015-3299-9
Ferraz MB, Oliveira LM, Araujo PM, Atra E, Tugwell P. Crosscultural reliability of the physical ability dimension of the health assessment questionnaire. J Rheumatol 1990;17(6):813-7. PMID: 2388204
Norton S, Fu B, Scott DL, Deighton C, Symmons DPM, Wailoo AJ, et al. Health Assessment Questionnaire disability progression in early rheumatoid arthritis: systematic review and analysis of two inception cohorts. Semin Arthritis Rheum 2014;44(2):131-44. https://doi.org/10.1016/j.semarthrit.2014.05.003 DOI: https://doi.org/10.1016/j.semarthrit.2014.05.003
World Health Organization. Body mass index (BMI) [Internet]. Geneva (MD): World Health Organization (CH), Global Health Observatory; 2024 [acessado em 30 maio 2024]. Disponível em: https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/body-mass-index
Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT. Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Front Psychol 2021;12:631179. https://doi.org/10.3389/fpsyg.2021.631179 DOI: https://doi.org/10.3389/fpsyg.2021.631179
Davatchi F, Sandoughi M, Moghimi N, Jamshidi AR, Banihashemi AT, Zakeri Z, et al. Epidemiology of rheumatic diseases in Iran from analysis of four COPCORD studies. Int J Rheum Dis 2016;19(11):1056-62. https://doi.org/10.1111/1756-185X.12809 DOI: https://doi.org/10.1111/1756-185X.12809
Ho-A-Tham N, Vanlandewijck Y, de Donder L, Wittoek R, Ting-A-Kee B, Basantram R, et al. Prevalence of musculoskeletal complaints in urban communities in multi-ethnic Suriname: a cross-sectional study with the COPCORD methodology (stage 1, phase 1 and 2). Clin Rheumatol 2020;39(4):1065-75. https://doi.org/10.1007/s10067-019-04842-5 DOI: https://doi.org/10.1007/s10067-019-04842-5
Dos Reis-Neto ET, Ferraz MB, Kowalski SC, Pinheiro GRC, Sato EI. Prevalence of musculoskeletal symptoms in the five urban regions of Brazil-the Brazilian COPCORD study (BRAZCO). Clin Rheumatol 2016;35(5):1217-23. https://doi.org/10.1007/s10067-015-2963-5 DOI: https://doi.org/10.1007/s10067-015-2963-5
Senna ER, De Barros ALP, Silva EO, Costa IF, Pereira LVB, Ciconelli RM, et al. Prevalence of rheumatic diseases in Brazil. A study using the COPCORD approach. J Rheumatol 2004;31(3):594-7. PMID: 14994410
Pereira AM, Valim V, Zandonade E, Ciconelli RM. Prevalence of musculoskeletal manifestations in the adult Brazilian population: a study using COPCORD questionnaires. Clin Exp Rheumatol 2009;27(1):42-6. PMID: 19327228
Campos L, Costa D, Donato H, Nunes B, Cruz EB. Implementation of digital health in rural populations with chronic musculoskeletal conditions: A scoping review protocol. PLoS One 2023;18(12):e0291638. https://doi.org/10.1371/journal.pone.0291638 DOI: https://doi.org/10.1371/journal.pone.0291638
Guevara-Pacheco S, Feicán-Alvarado A, Sanín LH, Vintimilla-Ugalde J, Vintimilla-Moscoso F, Delgado-Pauta J, et al. Prevalence of musculoskeletal disorders and rheumatic diseases in Cuenca, Ecuador: a WHO-ILAR COPCORD study. Rheumatol Int 2016;36(9):1195-204. https://doi.org/10.1007/s00296-016-3446-y DOI: https://doi.org/10.1007/s00296-016-3446-y
Courage UU, Stephen DP, Lucius IC, Ani C, Oche AO, Emmanuel AI, Olufemi AO. Prevalence of musculoskeletal diseases in a semi-urban Nigerian community: results of a cross-sectional survey using COPCORD methodology. Clin Rheumatol 2017;36(11):2509-16. https://doi.org/10.1007/s10067-017-3648-z DOI: https://doi.org/10.1007/s10067-017-3648-z
Olufemi A, Hakeem OB, Olalade WK, Sunday OO, Oluwole AO. Epidemiology of rheumatic and musculoskeletal diseases in a Nigerian peri-urban community: results of a cross-sectional survey using the COPCORD stage 1 model. Reumatologia 2022;60(6):366-75. https://doi.org/10.5114/reum.2022.123667 DOI: https://doi.org/10.5114/reum.2022.123667
Peláez-Ballestas I, Sanin LH, Moreno-Montoya J, Alvarez-Nemegyei J, Burgos-Vargas R, Garza-Elizondo M, et al. Epidemiology of the rheumatic diseases in Mexico. A study of 5 regions based on the COPCORD methodology. J Rheumatol Suppl 2011;86:3-8. https://doi.org/10.3899/jrheum.100951 DOI: https://doi.org/10.3899/jrheum.100951
Cimas M, Ayala A, Sanz B, Agulló-Tomás MS, Escobar A, Forjaz MJ. Chronic musculo-skeletal pain in European older adults: Cross-national and gender differences. Eur J Pain 2018;22(2):333-45. https://doi.org/10.1002/ejp.1123 DOI: https://doi.org/10.1002/ejp.1123
Ahmed H, Saeed MA, Attique F. The burden of musculoskeletal pain, associated sociodemographic factors, and disability in Pakistan. Int J Rheum Dis 2024;27(1):e14972. https://doi.org/10.1111/1756-185X.14972 DOI: https://doi.org/10.1111/1756-185X.14972
Vega-Hinojosa O, Cardiel MH, Ochoa-Miranda P. Prevalence of musculoskeletal manifes-tations and related disabilities in a Peruvian urban population living at high altitude. COP-CORD Study. Stage I. Reumatol Clin (Engl Ed) 2018;14(5):278-84. https://doi.org/10.1016/j.reuma.2017.01.011 DOI: https://doi.org/10.1016/j.reumae.2017.01.013
Saeed MA, Ahmed H, Faiq M, Aslam Z, Khan SEA, Batool S, et al. Prevalence of inflammatory back pain and radiographic axial spondyloarthritis in a semi-urban community of Lahore, Pakistan. Int J Rheum Dis 2021;24(2):207-15. https://doi.org/10.1111/1756-185X.14030 DOI: https://doi.org/10.1111/1756-185X.14030
Sarakbi HA, Alsaed O, Hammoudeh M, Lutf A, Poil AR, Ziyada A, et al. Epidemiology of musculoskeletal complaints and diseases in Qatar: A cross-sectional study. Qatar Med J 2020;2020(2):29. https://doi.org/10.5339/qmj.2020.29
Alok R, Srivastava R, Kumar P, Das SK, Agarwal GG, Dhaon P. Prevalence of rheumatic musculoskeletal symptoms in rural and urban areas: a cross-sectional study in northern India. Int J Rheum Dis 2017;20(11):1638-47. https://doi.org/10.1111/1756-185X.13189 DOI: https://doi.org/10.1111/1756-185X.13189
de Luca K, Wong A, Eklund A, Fernandez M, Byles JE, Parkinson L, et al. Multisite joint pain in older Australian women is associated with poorer psychosocial health and greater med-ication use. Chiropr Man Therap 2019;27:8. https://doi.org/10.1186/s12998-018-0224-9 DOI: https://doi.org/10.1186/s12998-018-0224-9
Budtz CR, Mose S, Christiansen DH. Socio-demographic, clinical and psychological predictors of healthcare utilization among patients with musculoskeletal disorders: a prospective cohort study. BMC Health Serv Res 2020;20(1):239. https://doi.org/10.1186/s12913-020-05100-0 DOI: https://doi.org/10.1186/s12913-020-05100-0
Nájera DDR, González-Chávez SA, Quiñonez-Flores CM, Peláez-Ballestas I, Hernández-Nájera N, Pacheco-Tena CF. Rheumatic Diseases in Chihuahua, México: A COPCORD Survey. J Clin Rheumatol 2016;22(4):188-93. https://doi.org/10.1097/RHU.0000000000000380 DOI: https://doi.org/10.1097/RHU.0000000000000380
Woolf AD, Zeidler H, Haglund U, Carr AJ, Chaussade S, Cucinotta D, et al. Musculoskeletal pain in Europe: its impact and a comparison of population and medical perceptions of treatment in eight European countries. Ann Rheum Dis 2004;63(4):342-7. https://doi.org/10.1136/ard.2003.010223 DOI: https://doi.org/10.1136/ard.2003.010223
March L, Smith EU, Hoy DG, Cross MJ, Sanchez-Riera L, Blyth F, et al. Burden of disability due to musculoskeletal (MSK) disorders. Best Pract Res Clin Rheumatol 2014;28(3):353-66. https://doi.org/10.1016/j.berh.2014.08.002 DOI: https://doi.org/10.1016/j.berh.2014.08.002
Sarakbi HA, Alsaed O, Hammoudeh M, Lutf A, Poil AR, Ziyada A, et al. Epidemiology of musculoskeletal complaints and diseases in Qatar: A cross-sectional study. Qatar Med J 2020;2020(2):29. https://doi.org/10.5339/qmj.2020.29 DOI: https://doi.org/10.5339/qmj.2020.29
Veerapen K, Wigley RD, Valkenburg H. Musculoskeletal pain in Malaysia: a COPCORD survey. J Rheumatol 2007;34(1):207-13. PMID: 17216688
Nakamura M, Toyama Y, Nishiwaki Y, Ushida T. Prevalence and characteristics of chronic musculoskeletal pain in Japan: a second survey of people with or without chronic pain. J Orthop Sci 2014;19(2):339-50. https://doi.org/10.1007/s00776-013-0525-8 DOI: https://doi.org/10.1007/s00776-013-0525-8
Duffield SJ, Ellis BM, Goodson N, Walker-Bone K, Conaghan PG, Margham T, et al. The contribution of musculoskeletal disorders in multimorbidity: Implications for practice and policy. Best Pract Res Clin Rheumatol 2017;31(2):129-44. https://doi.org/10.1016/j.berh.2017.09.004 DOI: https://doi.org/10.1016/j.berh.2017.09.004
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Marcia Midori Shinzato, Marcelo Kinashi
This work is licensed under a Creative Commons Attribution 4.0 International License.
By submitting a manuscript to the RBMFC, authors retain ownership of the copyright in the article, and authorize RBMFC to publish that manuscript under the Creative Commons Attribution 4.0 license and identify itself as the vehicle of its original publication.
