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We have investigated the pattern and trend of five major musculoskeletal disorders in China from the Global Burden of Disease Study 2017 and its association with sociodemographic index (SDI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The main outcome measures were incidence, prevalence, and disability-adjusted life years (DALYs) for rheumatoid arthritis, osteoarthritis, low back pain, neck pain, and gout. Average annual percent change (AAPC) and annual percent change (APC) between 1990 and 2017 were analyzed with Joinpoint regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The age-standardized rate of incidence, prevalence, and DALYs for the five major musculoskeletal disorders increased with age. For SDI, the age-standardized rate of DALYs was zigzagged increasing for rheumatoid arthritis and curvilinear increasing for gout, curvilinear decreasing for low back pain, and reaching to the highest point for osteoarthritis and neck pain with an SDI value of 0.61. The AAPC in age-standardized rate of DALYs indicated an increasing trend for rheumatoid arthritis (0.20, 95% CI 0.07, 0.34), osteoarthritis (0.26, 95% CI 0.20, 0.31), neck pain (0.09, 95% CI 0.07, 0.12), and gout (0.25, 95% CI 0.23, 0.27), but a decreasing trend for low back pain (\u2212\u20090.96, 95% CI \u2212\u20090.98, \u2212\u20090.93). The AAPC of risk factors indicated a decreasing trend in smoking (\u2212\u20090.14, 95% CI \u2212\u20090.24, \u2212\u20090.04) for rheumatoid arthritis, smoking (\u2212\u20090.22, 95% CI \u2212\u20090.24, \u2212\u20090.19) and occupational ergonomic factors (\u2212\u20091.25, 95% CI \u2212\u20091.29, \u2212\u20091.21) for low back pain, and impaired kidney function (\u2212\u20090.95, 95% CI \u2212\u20091.00, \u2212\u20090.90) for gout, but an increasing trend in high body-mass index for osteoarthritis (3.10, 95% CI 3.03, 3.17), low back pain (3.07, 95% CI 2.99, 3.14), and gout (3.12, 95% CI 3.04, 3.20). Comparing the burden of five musculoskeletal diseases in China with the 19 countries of G20, China ranked first to second in the number of DALYs, and 12th to 16th in age-standardized rate of DALYs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>There are remarkably complex temporal patterns in disease burden and risk factors for five major musculoskeletal disorders across past three decades. Population-wide initiatives targeting high body-mass index may mitigate the burden of musculoskeletal disorders.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12916-021-01905-w","type":"journal-article","created":{"date-parts":[[2021,2,3]],"date-time":"2021-02-03T21:03:15Z","timestamp":1612386195000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":99,"title":["Pattern and trend of five major musculoskeletal disorders in China from 1990 to 2017: findings from the Global Burden of Disease Study 2017"],"prefix":"10.1186","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5571-8728","authenticated-orcid":false,"given":"Dongze","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Priscilla","family":"Wong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cui","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lai-Shan","family":"Tam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieruo","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,2,4]]},"reference":[{"key":"1905_CR1","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0140-6736(19)30427-1","volume":"394","author":"M Zhou","year":"2019","unstructured":"Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, Li X, Wang L, Wang L, Liu Y, et al. 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