Understanding pain and pain management patterns in construction workers: A latent class analysis of cross-sectional survey data.
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| Title: | Understanding pain and pain management patterns in construction workers: A latent class analysis of cross-sectional survey data. |
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| Authors: | Hsu YJ; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States. Electronic address: yhsu9@jh.edu., Weeks K; Armstrong Institute for Patient Safety and Quality, Johns Hopkins School of Medicine, Baltimore, MD, United States., Schechter N; Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, United States., Socal MP; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Johns Hopkins University Carey Business School, Baltimore, MD, United States., Farheen S; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States., Vollmer E; Laborers' Health and Safety Fund of North America, Washington, DC, United States., Becker JF; Laborers' Health and Safety Fund of North America, Washington, DC, United States., Marsteller JA; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Armstrong Institute for Patient Safety and Quality, Johns Hopkins School of Medicine, Baltimore, MD, United States. |
| Source: | The journal of pain [J Pain] 2026 Aug; Vol. 45, pp. 106303. Date of Electronic Publication: 2026 Apr 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Churchill Livingstone Country of Publication: United States NLM ID: 100898657 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-8447 (Electronic) Linking ISSN: 15265900 NLM ISO Abbreviation: J Pain Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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