中华劳动卫生职业病杂志最新文献

{"title":"[Research on RULA, REBA and OWAS based exposure risk assessment methods].","authors":"H Zhao, N Jia, S W Mo, Z X Wang","doi":"10.3760/cma.j.cn121094-20240509-00206","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240509-00206","url":null,"abstract":"<p><p><b>Objective:</b> To accurately identify occupational health and safety hazards in different industries with distinct characteristics, a comprehensive occupational ergonomics assessment scale was developed by integrating the Rapid Upper Limb Assessment (RULA) evaluation framework, the Rapid Entire Body Assessment (REBA) and the Ovako Working Posture Analysing System (OWAS) . <b>Methods:</b> Between May 2023 and May 2024, based on the proportional reasoning method and segmented function method, the algorithm logic of RULA and REBA was aligned, and the evaluation rules for the revision content of the innovation scale were inferred using the method of proportion reasoning. Twenty postures were randomly selected for correlation verification. <b>Results:</b> The results showed that at a significance level of α=0.01, the normalized score of the comprehensive ergonomic assessment scale had a correlation coefficient of <i>r</i>=0.845 with RULA and <i>r</i>=0.633 with REBA. The behavioral level score of the comprehensive ergonomic assessment scale had a correlation coefficient of <i>r</i>=0.911 with RULA and <i>r</i>=0.737 with REBA, indicating significant correlations. <b>Conclusion:</b> The innovative comprehensive ergonomic assessment scale has high reliability and can be used for work activities in different workplaces and work contents, promoting the standardization of ergonomic assessment of occupational exposure hazards.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"918-926"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Interpretation of Ergonomic guidelines for the prevention of work-related musculoskeletal disorders part 6: Wooden furniture manufacturing work (T/WSJD 14.6-2024)].","authors":"Y Yang, J C Zeng, Z Wang, N Jia, Z X Wang, Y M Liu","doi":"10.3760/cma.j.cn121094-20240407-00148","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240407-00148","url":null,"abstract":"<p><p>\"Ergonomic guidelines for the prevention of work-related musculoskeletal disorders Part 6: Wooden furniture manufacturing work\" provides comprehensive preventive measures for China's wooden furniture manufacturing industry, covering scope of application, hazard factors identification, potential affected areas, intervention measures and effect evaluation. Through systematic ergonomics strategies, the guide emphasizes improving the working environment, cultivating employee awareness, eliminating hazard factors, and providing practical guidance for creating a healthy and safe working environment. This article interprets and analyzes the standard project background, formulation process, basic basis and main content to help relevant practitioners more fully understand and implement the ergonomics scheme proposed by the standard, and provide enterprises with scientific and accurate technical support. It is expected to promote industry standardization and overall employee well-being.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"957-960"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Structural equation analysis and modeling of wrist WMSDs and its adverse ergonomic factors].","authors":"X W Guo, Z X Wang, X Sun, M B Zhang, Q Xu, H D Zhang, R J Ling, Y M Liu, Z Wang, G Li, Y Yin, H Shao, J Li, H D Zhang, B Qiu, D Y Wang, Q Zeng, R G Wang, Y Ye, B Xiao, H Zou, J C Chen, D X Li, Y Q Liu, Q H Shi, J X Liu, E F Jiang, J Qi, L Y Mei, X F Zhao, M M Yang, N Jia","doi":"10.3760/cma.j.cn121094-20240507-00201","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240507-00201","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To investigate the relationships and impacts between various occupational ergonomic hazards and hand and wrist fatigue, as well as work-related musculoskeletal disorders (WMSDs) of the hand and wrist, and to propose targeted preventive and intervention measures for adverse occupational ergonomic factors causing WMSDs of the hand and wrist. &lt;b&gt;Methods:&lt;/b&gt; From 2018 to December 2023, a nationwide epidemiologic survey study of wrist WMSDs was conducted using the Chinese version of the electronic questionnaire system for musculoskeletal disorders.A total of 88, 609 valid questionnaires were collected. The exclusion criteria were as follows: patients with congenital spinal deformities, as well as those with wrist WMSDs caused by external injuries, infectious diseases, and malignant tumors. A total of 73, 497 questionnaires were finally included in the study analysis, with an effective questionnaire return rate of 82.5%. Exploratory factor analysis was used to analyze and summarize the factors affecting wrist WMSDs from the questionnaires, including individual factors, work organization, work type, wrist work posture, wrist fatigue, and wrist WMSDs as latent variables, and to hypothesize, fit, and validate the structural aspect model, as well as to conduct mediation effect analysis. &lt;b&gt;Results:&lt;/b&gt; The incidence of WMSDs and fatigue in wrist was 12.19% and 16.30% respectively. The fitting indexes of the modified structural equation model were basically up to the standard (GFI was 0.981, AGFI was 0.973, RMSEA was 0.031, NFI was 0.863, IFI and CFI were 0.865). There is a correlation between individual factors, work organization, wrist working posture and work type. There was a low negative correlation between individual factors and other factors, and there was a positive correlation between work organization, work type and wrist WMSDs (&lt;i&gt;r&lt;/i&gt;=0.346, 0.295), and these two factors were positively correlated with wrist fatigue height (&lt;i&gt;r&lt;/i&gt;=0.862, 0.599), and were positively correlated with wrist working posture (&lt;i&gt;r&lt;/i&gt;=0.443, 0.620). There was moderate positive correlation between wrist working posture and wrist fatigue (&lt;i&gt;r&lt;/i&gt;=0.469). The three most influential factors on wrist WMSDs were work organization, individual factor and work type, and the path coefficients were 0.247, 0.210 and 0.136, respectively. The first two factors that have the greatest influence on wrist fatigue are work organization and work type, and the path coefficients are 0.758 and 0.188, respectively. Individual factors, work type, wrist working posture and work organization had direct effects on wrist WMSDs, and the effect values were 0.093, 0.253, 0.718 and 0.583, respectively. Wrist fatigue played a partial mediating role between individual factors, work type, wrist working posture and work organization and wrist WMSDs, with the indirect effect ratio of 25.6%, 45.8%, 3.2% and 65.5%. &lt;b&gt;Conclusion:&lt;/b&gt; Wrist fatigue plays an important mediating ro","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"927-936"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Structural equation analysis and modeling of adverse ergonomic factors for lower back pain].","authors":"Q Xu, N Jia, X Sun, M B Zhang, X W Guo, H D Zhang, R J Ling, Y M Liu, Z Wang, G Li, Y Yin, H Shao, J Li, H D Zhang, B Qiu, D Y Wang, Q Zeng, R G Wang, Y Ye, B Xiao, H Zou, J C Chen, D X Li, Y Q Liu, Q H Shi, J X Liu, E F Jiang, J Qi, L Y Mei, X F Zhao, M M Yang, Z X Wang","doi":"10.3760/cma.j.cn121094-20240422-00177","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240422-00177","url":null,"abstract":"<p><p><b>Objective:</b> To establish a structural equation model of lower back pain and its risk factors in occupational population in China based on a large-sample occupational epidemiological survey and structural equation analysis, so as to lay the foundation for the prevention of this disease. <b>Methods:</b> A total of 73497 occupational epidemiological cases were selected from June 2018 to December 2023 using the Chinese version of the Musculoskeletal Disorders Electronic Questionnaire. The results were analyzed using ergonomic hazard factors and their risk source classification criteria. Confirmatory factor analysis was then applied to extract individual factors, work organization, working postures, work types, muscle fatigue, and lower back pain. These factors were subsequently classified into six categories and structural equation model was established. <b>Results:</b> The main structural reliability and validity indexes of the structural equation model of lower back pain and its adverse ergonomic factors after adjustment were basically up to standard[goodness of fit index (GFI) was 0.956, the adjusted goodness of fit index (AGFI) was 0.944, the root mean square error of approximation (RMSEA) was 0.043, the normed fit index (NFI) was 0.922, the comparative fit index (CFI) was 0.923, and the Tucker-Lewis index (TLI) was 0.908], and the model fit was good. There were correlations among four exogenous latent variables: individual factors, work organization, working postures and work types. Among them, individual factors had a weak negative correlation with the three exogenous potential variables of work organization, working postures and work types (<i>r</i>=-0.30, -0.11, -0.18), and work organization had a moderate positive correlation with working postures and work types (<i>r</i>=0.49, 0.55). There was a strong positive correlation between work types and working postures (<i>r</i>=0.72). The direct path coefficients of individual factors, working postures and muscle fatigue were 0.07, 0.11 and 0.40, respectively. The direct path coefficients of work types were -0.07. There was an indirect path mediated by muscle fatigue between work types, working postures and work organization and lower back pain, and the indirect path coefficients were: work types-muscle fatigue-lower back pain (0.15), working postures-muscle fatigue-lower back pain (-0.04) and work organization-muscle fatigue-lower back pain (0.27) . <b>Conclusion:</b> When carrying out the prevention and control of lower back pain, the pathogenesis of lower back pain induced by workers' muscle fatigue caused by work organization, working postures, and work types factors should be comprehensively considered, so as to provide a theoretical reference for improving the prevention and control level of lower back pain.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"937-945"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Study on the epidemiological characteristics of work-related musculoskeletal disorders among 29 industries or occupational groups in China].","authors":"N Jia, M B Zhang, Q Xu, H D Zhang, R J Ling, Y M Liu, Z Wang, G Li, Y Yin, H Shao, J Li, H D Zhang, B Qiu, D Y Wang, Q Zeng, R G Wang, Y Ye, B Xiao, H Zou, J C Chen, D X Li, Y Q Liu, Q H Shi, J X Liu, E F Jiang, J Qi, L Y Mei, X F Zhao, M M Yang, X W Guo, X Sun, Z X Wang","doi":"10.3760/cma.j.cn121094-20240731-00358","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240731-00358","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To analyze the distribution characteristics of work-related musculoskeletal disorders (WMSDs) among the occupational population in China's key industries during the period from 2018 to 2023, and to provide data support for the formulation of targeted prevention strategies. &lt;b&gt;Methods:&lt;/b&gt; Between January 1, 2018, and December 31, 2023, a cross-sectional epidemiological survey and a retrospective investigation were conducted in seven geographical regions of North China, East China, Central China, South China, Southwest China, Northwest China, and Northeast China, using a combination of epidemiological cross-sectional and retrospective surveys. The industries were stratified according to the degree of closeness to WMSDs, the size of the occupational population, and the importance of the national economy, and then cluster sampling was conducted according to the size of the enterprises (large, medium, and small) within each stratum. Representative enterprises were selected, and workers who had been employed for more than one year and met the inclusion criteria were selected as the study subjects. The survey subjects completed the Chinese version of the Musculoskeletal Disorders Survey Questionnaire online by scanning a QR code. A total of 88, 609 valid questionnaires were collected. Continuous data were described by means and standard deviations, and the standardized incidence rates of WMSDs were evaluated using chi-square tests to compare the standardized incidence rates of different body parts. &lt;b&gt;Results:&lt;/b&gt; The standardized prevalence rate of WMSDs among the frontline working population in China was 36.7%, with the top three being the neck (21.37%), shoulders (18.23%), and lower back (14.92%). There was a statistically significant difference in the standardized prevalence rate of WMSDs between different body parts (χ(2)=47577.82, &lt;i&gt;P&lt;/i&gt;&lt;0.05). The lowest standardized prevalence rate of WMSDs was found in the southeast coastal region of China (32.54%), while the highest was in the northwest (49.70%) and northeast regions (46.16%). The standardized prevalence rate of WMSDs decreased from 42.88% in 2018 to 29.94% in 2023. The micro-enterprise observation group had a higher concentration of WMSDs in the neck (20.66%), lower back (17.95%), and shoulders (17.79%), while the large enterprise observation group had a higher concentration in the neck (20.54%), shoulders (17.52%), and lower back (14.65%). Among the industries surveyed, the highest standardized prevalence rate of WMSDs was found in the healthcare industry (53.18%), followed by the toy manufacturing industry (50.54%), the automotive manufacturing industry (43.39%), general aviation services (42.71%), and the ship and related equipment manufacturing industry (40.56%). The standardized prevalence rate of WMSDs among women was significantly higher than that of men (&lt;i&gt;OR&lt;/i&gt; value=1.44, &lt;i&gt;P&lt;/i&gt;&lt;0.05). In addition, the standardized prevalence rate of WMSDs with multipl","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"884-895"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Two cases of occupational severe toxic encephalopathy caused by nitrogen gas].","authors":"Y Zhou, Q Xu","doi":"10.3760/cma.j.cn121094-20240321-00109","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240321-00109","url":null,"abstract":"<p><p>This paper reports two cases of occupational severe toxic encephalopathy caused by inhaling excessive nitrogen in an accident. The main reasons are failure to performing field-work standards of limited space operation and emergency rescue. Hypoxia asphyxia is the main pathogenic link of nitrogen toxicity, which can cause brain edema. At the same time, hypoxia can lead to the destruction of intracellular calcium environment, exacerbating ischemia and hypoxia. Clinical case data shows that 2 cases presented with clinical manifestations mainly including coma, high limb muscle tone, and neurological damage, but also cause different degrees of lung, myocardium, liver and kidney damage. Early treatments, hyperbaric oxygen therapy, active prevention and treatment of brain edema, correction of acidosis, maintenance of water and electrolyte balance, anti-infection and corresponding symptomatic support therapy are key treatments.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"954-956"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Study on the relationship between occupational exposure characteristics and musculoskeletal disorders in 29 industries or workforce groups in China].","authors":"N Jia, M B Zhang, Q Xu, H D Zhang, R J Ling, Y M Liu, Z Wang, G Li, Y Yin, H Shao, J Li, H D Zhang, B Qiu, D Y Wang, Q Zeng, R G Wang, Y Ye, B Xiao, H Zou, J C Chen, D X Li, Y Q Liu, Q H Shi, J X Liu, E F Jiang, J Qi, L Y Mei, X F Zhao, M M Yang, X W Guo, X Sun, Z X Wang","doi":"10.3760/cma.j.cn121094-20240904-00414","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240904-00414","url":null,"abstract":"<p><p><b>Objective:</b> To explore the occupational contact characteristics of work-related musculoskeletal disorders (WMSDs) among key occupational groups in China, assess the impact of occupational factors on the occurrence of WMSDs, and propose corresponding preventive strategies. <b>Methods:</b> Between January 1, 2018, and December 31, 2023, a cross-sectional epidemiological survey method was employed to retrospectively investigate the occurrence of WMSDs and related occupational factors. Valid questionnaire data from 88609 on-the-job workers in 441 enterprises across 29 industries or job types in seven regions of China were collected, and the relationship between WMSDs and various occupational factors was discussed using multifactorial logistic regression analysis. Odds ratios (<i>OR</i>) and their 95% confidence intervals (<i>CI</i>) were calculated to assess the impact of different factors on the risk of WMSDs occurrence, with all statistical tests performed as two-tailed tests, using <i>P</i><0.05 as the criterion for statistical significance. <b>Results:</b> Among the surveyed subjects, 59989 were male, accounting for 67.7% (59989/88609) ; 28620 women, accounting for 32.3% (28620/88609). The standardized incidence rate of work related musculoskeletal disorders (WMSDs) in 9 parts of the body was statistically significant (<i>P</i><0.05) among different working age groups without considering specific parts. The average length of service for onset of WMSDs (regardless of location) is (4.52±2.67) years, and there is a statistically significant difference in the length of service for onset of WMSDs in different locations (<i>P</i><0.05). As the frequency of heavy object handling increases, the standardization rate and OR value of WMSDs in various parts show a significant increase trend. The incidence of WMSDs is significantly correlated with maintaining poor work posture for a long time, frequent repetitive operations, and heavy object handling (<i>OR</i>=1.52, 1.45, 1.63, <i>P</i><0.01) . <b>Conclusion:</b> This study reveals that the risk of WMSDs in China's occupational population shows a non-linear change with increasing length of service, especially with a significant increase in 10 to 25 years of service. Poor work posture, frequent repetitive operations, and heavy object handling are significantly correlated with WMSDs, providing a scientific basis for developing more accurate and effective prevention strategies for WMSDs.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"896-910"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Effects of muscle fatigue on urine metabolites in automobile manufacturing workers based on untargeted metabolomics].","authors":"M M Yang, Z X Wang, Q Xu, J Y Ma, D Y Wang, H X Ma, Y Yang, N Jia","doi":"10.3760/cma.j.cn121094-20240422-00180","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240422-00180","url":null,"abstract":"<p><p><b>Objective:</b> To investigate the changes of metabolites in urine of automobile manufacturing workers with muscle fatigue using metabolomics technology, and to explore potential biomarkers and disrupted metabolic pathways. <b>Methods:</b> In July 2022, urine samples were collected from 35 male workers in a certain automobile manufacturing industry before and after muscle fatigue, and metabolite analysis was conducted. Subsequently, multivariate statistical analysis was used for data processing to screen differential metabolites. Metabolic pathway enrichment was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database (http: //www.kegg.jp), and potential biomarkers were screened through the receiver operating characteristic (ROC) curve. <b>Results:</b> Metabolomics analysis revealed that compared to pre-fatigue samples, a total of 363 differential metabolites were identified in the post-fatigue urine samples of the subjects. Among these, 201 metabolites (55.4%) showed increased relative expression, while 162 metabolites (44.6%) showed decreased relative expression. The metabolic pathways involved mainly included histidine metabolism, tryptophan metabolism, valine, leucine and isoleucine biosynthesis, caffeine metabolism, niacin and nicotinamide metabolism, and oxidative phosphorylation. The ROC curve analysis results showed that the areas under the ROC curves for 1-methylnicotinamide, 2-piperidinone, kojic acid and diferuloyl Putrescine were 0.992, 0.959, 0.937 and 0.902, respectively. <b>Conclusion:</b> Muscle fatigue could cause changes in urine metabolite profiles of automobile manufacturing workers. The metabolites represented by 1-methylnicotinamide in urine can be used as potential biomarkers of muscle fatigue in automobile manufacturing workers.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"911-917"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Strengthen research on the prevention and control of work-related musculoskeletal disorders to support occupational health protection actions].","authors":"Z X Wang, Y M Liu, N Jia","doi":"10.3760/cma.j.cn121094-20240813-00376","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240813-00376","url":null,"abstract":"","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"881-883"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Visualization analysis of research progress on work-related musculoskeletal disorders in domestic and international].","authors":"Q Xu, M M Yang, N Jia, Z X Wang","doi":"10.3760/cma.j.cn121094-20240227-00072","DOIUrl":"https://doi.org/10.3760/cma.j.cn121094-20240227-00072","url":null,"abstract":"<p><p><b>Objective:</b> To study aims to examine the current state and future trajectory of research on work-related musculoskeletal disorders (WMSDs) both domestically and internationally. <b>Methods:</b> In February 2024, Using CiteSpace software and bibliometrics, a bibliometric analysis and knowledge map study were conducted on the Web of Science core journal collection and 3144 related documents from CNKI as of December 31, 2023. <b>Results:</b> This study included a total of 3144 articles (723 in Chinese and 2421 in English). Research on WMSDs both domestically and internationally has entered a phase of rapid growth. The United States ranks first in terms of publication regions, accounting for 20.96% of the global publication volume, followed by Canada (7.45%), Brazil (6.51%), Australia (6.34%), and China (6.34%). The main institutions in China are the Institute of Occupational Health and Poison Control of the Chinese Center for Disease Control and Prevention (101 articles), Peking University and its affiliated hospitals (86 articles), Xinjiang Medical University and its affiliated hospitals (59 articles), Guangzhou Occupational Disease Prevention and Control Institute (45 articles), and Hubei Xinhua Hospital (34 articles). The core scholars conducting research on WMSDs in China are mainly from three research groups: Wang Zhongxu's team from the Institute of Occupational Health and Poison Control of the Chinese Center for Disease Control and Prevention (84 articles), He Lihua's team from the School of Public Health at Peking University (50 articles), and Ling Ruijie's team from Xinhua Hospital in Hubei Province (32 articles). The collaborative network analysis of Chinese literature authors obtained a total of 569 nodes and 1026 connections, with a network density of 0.0063. The clustering of literature keywords in China mainly includes incidence rate, ergonomic load, biomechanics, musculoskeletal disorders, musculoskeletal system, risk factors, nurses, rehabilitation, occupational health, automobile manufacturing, middle-aged and elderly patients, and hospitalized patients; Abroad, the main diseases include osteoporosis, occupational health, rheumatoid arthritis, musculoskeletal disorders, rehabilitation, return to work, arthritis, rheumatology, work-related musculoskeletal disorders, juvenile idiopathic arthritis, and network pharmacology. <b>Conclusion:</b> The research on WMSDs in China has formed a relatively complete methodology, epidemiological characteristics, and risk factor investigation data, and has explored the prevention and intervention of diseases to some extent.</p>","PeriodicalId":23958,"journal":{"name":"中华劳动卫生职业病杂志","volume":"42 12","pages":"946-953"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}