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      Incidence and Risk Factors of the Upper-Limb Musculoskeletal Disorders Among Occupational Groups in Key Industries — China, 2018–2021

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          Abstract

          What is already known about this topic?

          The burden of illness and economic losses due to upper-limb work-related musculoskeletal disorders (UL-WMSDs) is high; thus, they have become a major global public health problem. At present, the epidemiological characteristics of UL-WMSDs in China's occupational population are still unknown.

          What is added by this report?

          The incidence of UL-WMSDs among key occupational groups in China is 22.5%, with distinct occupational characteristics.

          What are the implications for public health practice?

          This study has primarily determined the occurrence and potential risk factors of UL-WMSDs in key industries in China and provided data support for recommending prevention and control of the occurrence of such diseases in key industries in China, and in facilitating the addition into the China’s List of Legal Occupational Diseases.

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          Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms

          I Kuorinka, T B Jonsson, A Kilbom … (1987)
          Article 0 comments Cited 427 times – based on 0 reviews     Review now
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            Prevalence and incidence of work-related musculoskeletal disorders in secondary industries of 21st century Europe: a systematic review and meta-analysis

            Renée Govaerts, Bruno Tassignon, Jo Ghillebert … (2021)
            Objective Over the course of the twenty-first century, work-related musculoskeletal disorders are still persisting among blue collar workers. At present, no epidemiological overview exists. Therefore, a systematic review and meta-analysis was performed on the epidemiology of work-related musculoskeletal disorders (WMSD) within Europe’s secondary industries. Methods Five databases were screened, yielding 34 studies for the qualitative analysis and 17 for the quantitative analysis. Twelve subgroups of WMSDs were obtained for the meta-analysis by means of predefined inclusion criteria: back (overall), upper back, lower back, neck, shoulder, neck/shoulder, elbow, wrist/hand, leg (overall), hip, knee, and ankle/feet. Results The most prevalent WMSDs were located at the back (overall), shoulder/neck, neck, shoulder, lower back and wrist WMSDs with mean 12-month prevalence values of 60, 54, 51, 50, 47, and 42%, respectively. The food industry was in the majority of subgroups the most prominent researched sector and was frequently associated with high prevalence values of WMSDs. Incidence ratios of upper limb WMSDs ranged between 0.04 and 0.26. Incidence ratios could not be calculated for other anatomical regions due to the lack of sufficient articles. Conclusion WMSDs are still highly present among blue collar workers. Relatively high prevalence values and low incidence ratios indicate a limited onset of WMSDs with however long-term complaints. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-021-04615-9.
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              Epidemiological Data of Work-Related Musculoskeletal Disorders — China, 2018–2020

              Ning Jia, Huadong Zhang, Ruijie Ling … (2021)
              What is already known about this topic? In recent decades, work-related musculoskeletal disorders (WMSDs) have become increasingly prominent and have become an important issue that is of universal concern and an urgent need to be solved in all countries of the world. What is added by this report? The top three industries or occupational groups with the highest standardized prevalence rate of WMSDs were flight attendants, medical staff, and vegetable greenhouses in that order. Women workers were 1.5 times more likely to suffer from WMSDs than men workers. What are the implications for public health practice? This study has found the prevalence and distribution characteristics of WMSDs in key industries in China. It is urgent to draw up relevant measures to prevent and control occupational populations with WMSDs.
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                Author and article information

                Contributors
                Zhongxu Wang
                Journal
                Journal ID (nlm-ta): China CDC Wkly
                Journal ID (publisher-id): CCDCW
                Title: China CDC Weekly
                Publisher: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention (Beijing, China )
                ISSN (Electronic): 2096-7071
                Publication date (Print): 16 December 2022
                Volume: 4
                Issue: 50
                Pages: 1123-1130
                Affiliations
                [1 ] National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing Municipality, China
                [2 ] Chongqing Center for Disease Control and Prevention, Chongqing Municipality, China
                [3 ] Hubei Provincial Hospital of Integrated Chinese & Western Medicine, Wuhan City, Hubei Province, China
                [4 ] Guangzhou Twelfth People’s Hospital Affiliated to Guangzhou Medical University, Guangzhou City, Guangdong Province, China
                [5 ] Liaoning Provincial Health Service Center, Shenyang City, Liaoning Province, China
                [6 ] Shanghai Center for Disease Control and Prevention, Shanghai Municipality, China
                [7 ] Shandong Academy of Occupational Health and Occupational Medicine, Jinan City, Shandong Province, China
                [8 ] Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China
                [9 ] Civil Aviation Medical Center, Civil Aviation Administration of China, Beijing Municipality, China
                [10 ] Guizhou Province Occupational Disease Prevention and Control Hospital, Guiyang City, Guizhou Province, China
                [11 ] Tianjin Occupational Disease Prevention and Control Hospital, Tianjin Municipality, China
                [12 ] Tianjin Center for Disease Control and Prevention, Tianjin Municipality, China
                [13 ] Beijing Center for Disease Control and Prevention, Beijing Municipality, China
                [14 ] Fujian Province Occupational Disease and Chemical Poisoning Prevention and Control Center, Fuzhou City, Fujian Province, China
                [15 ] Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou City, Guangdong Province, China
                [16 ] Hubei Provincial Center for Disease Control and Prevention, Wuhan City, Hubei Province, China
                [17 ] Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou City, Zhejiang Province, China
                [18 ] Institute of Occupational Medicine of Jiangxi, Nanchang City, Jiangxi Province, China
                [19 ] Ningxia Hui Autonomous Region Center for Disease Control and Prevention, Yinchuan City, Ningxia Province, China
                [20 ] Sichuan Provincial Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China
                [21 ] Shanxi Provincial Center for Disease Control and Prevention, Xian City, Shanxi Province, China
                [22 ] Yunnan Provincial Center for Disease Control and Prevention, Kunming City, Yunnan Province, China
                Author notes
                Article
                Publisher ID: ccdcw-4-50-1123
                DOI: 10.46234/ccdcw2022.227
                PMC ID: 9897969
                PubMed ID: 36751559
                SO-VID: 1393836b-ff4d-4626-a990-59e2cdff0b06
                Copyright © Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022
                License:

                This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                Date received : 15 October 2022
                Date accepted : 21 November 2022
                Funding
                Funded by the Project of Occupational Health Risk Assessment and the National Occupational Health Standard Formulation of the National Institute of Occupational Health and Poison Control (Project No. 131031109000160004). National Key R&D Program of China (2022YFC2503205)
                Categories
                Subject: Preplanned Studies

                Keywords: incidences,risk factors,upper-limb musculoskeletal disorders
                Data availability:
                Keywords: incidences, risk factors, upper-limb musculoskeletal disorders

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