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Multidomain Analysis of Chronic Pain Intensity in Labor-Intensive Occupations: Insights from Network and Regression Modeling

dc.contributor.authorJahani Jirsaraei, Matin
dc.contributor.authorLee, Seiyon
dc.contributor.authorDeStefano, Secili
dc.contributor.authorGerber, Lynn H.
dc.contributor.authorJi, Wenying
dc.contributor.authorSikdar, Siddhartha
dc.date.accessioned2026-08-20T10:44:08Z
dc.date.available2026-08-20T10:44:08Z
dc.date.copyright2026/05/24
dc.date.issued2026
dc.identifier.otherJCEMD4.COENG-17810.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311190
dc.description.abstractAbstractConstruction workers face high exposure to physically demanding and repetitive tasks, making them vulnerable to chronic musculoskeletal pain. While prior studies often evaluate pain risk factors in isolation, this study uses an integrative ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMultidomain Analysis of Chronic Pain Intensity in Labor-Intensive Occupations: Insights from Network and Regression Modeling
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue8
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-17810
dc.journal.fristpage04026110-1
dc.journal.lastpage04026110-15
dc.page15
dc.treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 008
dc.contenttypeFulltext


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