<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14</volume><submitter>Lan Y</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The prevalence of work-related musculoskeletal disorders (WMSDs) among steelworkers is high due to occupational exposures including high temperatures, vibrating tools, and intense physical loads. Given the varying prevalence estimates and associated risk factors of WMSDs among existing studies and the lack of a meta-analysis dedicated specifically to steelworkers, this meta-analysis aimed to comprehensively evaluate the prevalence of and risk factors associated with WMSDs among steelworkers.&lt;h4>Methods&lt;/h4>A systematic literature search of the PubMed, Web of Science, Embase, Scopus, Ovid Medline, Wanfang Data, VIP Database, China National Knowledge Infrastructure, and China Biomedical Literature Service System (SinoMed) databases for published studies reporting the preva</pubmed_abstract><journal>Frontiers in public health</journal><pagination>1718101</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12916570</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Global prevalence and associated risk factors of work-related musculoskeletal disorders among steelworkers: a systematic review and meta-analysis.</pubmed_title><pmcid>PMC12916570</pmcid><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Peng C</pubmed_authors><pubmed_authors>Zhan X</pubmed_authors><pubmed_authors>Jiang D</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Lan Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Global prevalence and associated risk factors of work-related musculoskeletal disorders among steelworkers: a systematic review and meta-analysis.</name><description>&lt;h4>Background&lt;/h4>The prevalence of work-related musculoskeletal disorders (WMSDs) among steelworkers is high due to occupational exposures including high temperatures, vibrating tools, and intense physical loads. Given the varying prevalence estimates and associated risk factors of WMSDs among existing studies and the lack of a meta-analysis dedicated specifically to steelworkers, this meta-analysis aimed to comprehensively evaluate the prevalence of and risk factors associated with WMSDs among steelworkers.&lt;h4>Methods&lt;/h4>A systematic literature search of the PubMed, Web of Science, Embase, Scopus, Ovid Medline, Wanfang Data, VIP Database, China National Knowledge Infrastructure, and China Biomedical Literature Service System (SinoMed) databases for published studies reporting the preva</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026</publication><modification>2026-07-16T18:00:33.993Z</modification><creation>2026-07-09T11:10:35.058Z</creation></dates><accession>S-EPMC12916570</accession><cross_references><pubmed>41725752</pubmed><doi>10.3389/fpubh.2026.1718101</doi></cross_references></HashMap>