{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T18:39:31Z","timestamp":1792435171161,"version":"4.5.0"},"reference-count":68,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J Industrial Med"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Trauma registry data have unique characteristics differentiating them from traditional occupational injury surveillance data sources. This study analyzed trauma injury admissions (which includes emergency department encounters regardless of discharge disposition) in the American College of Surgeons National Trauma Data Bank (NTDB) to compare worker and injury characteristics of work\u2010related and non\u2010work\u2010related admissions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross\u2010sectional study analyzed admissions among patients aged 14 years and older from the NTDB during 2017\u20132022. We calculated frequencies for demographic, injury, and outcome characteristics stratified by work\u2010relatedness (injury occurrence during paid employment). Multivariable logistic regression assessed the relationship between demographic and injury characteristics with work\u2010relatedness as the outcome, adjusted for age, sex, race\/ethnicity, and mechanism of injury.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 5,901,246 injuries, 241,328 injuries (4.1%) were work\u2010related. More work\u2010related injuries were in males (87.6% vs. 59.5% of non\u2010work\u2010related) and were unintentional (95.6% vs. 85.1%). The highest proportion of work\u2010related injuries were in the construction industry (29.6%). More work\u2010related admissions required the operating room (19.8% vs. 10.9%). Patients ages 25\u201344 years and men had higher odds of sustaining work\u2010related injuries compared with other age groups and women. The mechanism of injury with the highest odds of work\u2010relatedness compared to falls (reference) was from machinery (OR\n                      <jats:sub>adj<\/jats:sub>\n                      9.39, 95% CI 8.63\u201310.22).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Trauma registry data can contribute to occupational injury research and surveillance. Strengths include a large sample size, industry and occupation coding, and data on severity, demographics, injury mechanisms, and outcomes. NTDB data could be used to study occupational injury trends among U.S\u2010workers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ajim.70148","type":"journal-article","created":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T17:53:03Z","timestamp":1792432383000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A National Trauma Data Bank Analysis of Work\u2010Related Versus Non Work\u2010Related Trauma Injury Admissions in the United States, 2017\u20132022"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5024-0676","authenticated-orcid":false,"given":"Nadia T.","family":"Saif","sequence":"first","affiliation":[{"name":"Division of Safety Research National Institute for Occupational Safety and Health Morgantown West Virginia USA"},{"name":"Epidemic Intelligence Service, Centers for Disease Control and Prevention Atlanta Georgia USA"},{"name":"Commissioned Corps, United States Public Health Service Rockville Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7394-502X","authenticated-orcid":false,"given":"Harold","family":"Gomes","sequence":"additional","affiliation":[{"name":"Division of Safety Research National Institute for Occupational Safety and Health Morgantown West Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5260-1241","authenticated-orcid":false,"given":"Audrey A.","family":"Reichard","sequence":"additional","affiliation":[{"name":"Division of Safety Research National Institute for Occupational Safety and Health Morgantown West Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1305-078X","authenticated-orcid":false,"given":"Vidisha","family":"Parasram","sequence":"additional","affiliation":[{"name":"Division of Safety Research National Institute for Occupational Safety and Health Morgantown West Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6705-9723","authenticated-orcid":false,"given":"Christina","family":"Socias\u2010Morales","sequence":"additional","affiliation":[{"name":"Division of Safety Research National Institute for Occupational Safety and Health Morgantown West Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"key":"e_1_2_12_2_1","volume-title":"Census of Fatal Occupational Injuries News Release \u2212 2023 A01 Results"},{"key":"e_1_2_12_3_1","first-page":"2023","volume-title":"Employer\u2010Reported Workplace Injuries and Illnesses"},{"key":"e_1_2_12_4_1","volume-title":"A Smarter National Surveillance System for Occupational Safety and Health in the 21st Century","year":"2018"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.2105\/ajph.92.9.1421"},{"key":"e_1_2_12_6_1","volume-title":"Recording and Reporting Occupational Injuries and Illnesses, 1904 Subpart E, Reporting Fatality, Injury and Illness Information to the Government"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/0033354916669358"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajim.22350"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajim.22563"},{"key":"e_1_2_12_10_1","volume-title":"Survey of Occupational Injuries and Illnesses: Overview","year":"2023"},{"key":"e_1_2_12_11_1","unstructured":"National Institute for Occupational Safety and Health (NIOSH) Division of Safety Research The Work\u2010Related Injury Statistics Query System accessed July 31 2026 https:\/\/wwwn.cdc.gov\/wisards\/workrisqs\/."},{"key":"e_1_2_12_12_1","unstructured":"American College of Surgeons National Trauma Data Bank\u00ae (NTDB\u00ae) accessed July 31 2026 https:\/\/www.facs.org\/quality-programs\/trauma\/quality\/national-trauma-data-bank\/."},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00417-023-05983-9"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00701-023-05731-2"},{"issue":"7","key":"e_1_2_12_15_1","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1177\/000313481908500737","article-title":"Farm Injuries: Animal Most Common, Machinery Most Lethal: An NTDB Study","volume":"85","author":"Damroth K.","year":"2019","journal-title":"American Surgeon\u2122"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2021.10.033"},{"key":"e_1_2_12_17_1","unstructured":"American College of Surgeons (ACS). 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