{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T01:52:17Z","timestamp":1793325137609,"version":"4.5.0"},"reference-count":41,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"content-version":"unspecified","delay-in-days":27,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"The French National Institute for Science, Technology, and Craft (Cnam) grant and the Health and Companies Chair (Cnam, Malakoff Humanis)."}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["bmjph"],"accepted":{"date-parts":[[2023,10,31]]},"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>This study aimed to globally assess the prevalence and distribution of primary-origin musculoskeletal disorders (MSDs) from 1990 to 2019 to better understand their temporal trends.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Using data from the 2019 Global Burden of Diseases, prevalence rates of six primary-origin MSDs were analysed across subregions, age groups and genders. Raw and age-standardised prevalence were mapped for over 204 countries. Cochran-Armitage trend tests evaluated temporal prevalence trends. The correlation between MSDs prevalence, national income levels and medical density was explored.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In 2019, global MSDs prevalence varied significantly among countries. Hip osteoarthritis had a prevalence of 0.56% (95% CI: 0.43% to 0.70%), while low back pain was 8.62% (95% CI: 7.62% to 9.74%). Most MSDs exhibited an increasing prevalence with age, except for neck pain, which stabilised or decreased after age 45\u201350. Women generally had higher prevalence rates across all age groups. High-income countries consistently showed higher prevalence rates compared with middle and low-income countries. Over time, most subregions experienced a significant increase in MSD prevalence. However, after adjusting for age, the temporal trends for back and neck pain became non-significant, except for hip osteoarthritis, where half of the subregions remained significant. Multiple linear regressions revealed positive correlation between MSD prevalence and both national income level and medical density.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The global burden of MSDs is increasing due to population ageing, but other factors should be considered. Longitudinal studies with a wider range of MSDs and additional risk factors are needed for improved prevention strategies.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjph-2023-000353","type":"journal-article","created":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T11:55:29Z","timestamp":1701518129000},"page":"e000353","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":8,"title":["Temporal and spatial distribution of musculoskeletal disorders from 1990 to 2019: a systematic analysis of the global burden of disease"],"prefix":"10.1136","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3563-3700","authenticated-orcid":false,"given":"Hanifa","family":"Bouziri","sequence":"first","affiliation":[{"name":"Laboratory of Epidemiology Modeling and Monitoring of Health Risks (MESuRS) at the Cnam, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yves","family":"Roquelaure","sequence":"additional","affiliation":[{"name":"U1085 Irset, Ester Unit Angers, FR, INSERM, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6028-3186","authenticated-orcid":false,"given":"Alexis","family":"Descatha","sequence":"additional","affiliation":[{"name":"U1085 Irset, Ester Unit, INSERM, Angers, France"},{"name":"Poison Control Center (CAPTV), CDC, CHU Angers P\u00f4le A Vasculaire, Angers, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Dab","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology Modeling and Monitoring of Health Risks (MESuRS) at the Cnam, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6462-7185","authenticated-orcid":false,"given":"Kevin","family":"Jean","sequence":"additional","affiliation":[{"name":"Laboratory of Epidemiology Modeling and Monitoring of Health Risks (MESuRS) at the Cnam, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2023,12,2]]},"reference":[{"key":"2025083110341153000_1.1.e000353.1","unstructured":"Report of a WHO Scientific Group . 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