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Traumatic injuries among Alaska’s young workers: Linking cases from four data systems
BACKGROUND: Young workers (aged 15–24 years) experience higher rates of job-related injury compared with workers aged 25–44 years in the United States. Young workers may have limited or no prior work experience or safety training, which can contribute to their injury risk. In 2018, Alaska had the se...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830688/ https://www.ncbi.nlm.nih.gov/pubmed/36624461 http://dx.doi.org/10.1186/s12889-022-14676-7 |
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author | Evoy, Richard Syron, Laura Case, Samantha Lucas, Devin |
author_facet | Evoy, Richard Syron, Laura Case, Samantha Lucas, Devin |
author_sort | Evoy, Richard |
collection | PubMed |
description | BACKGROUND: Young workers (aged 15–24 years) experience higher rates of job-related injury compared with workers aged 25–44 years in the United States. Young workers may have limited or no prior work experience or safety training, which can contribute to their injury risk. In 2018, Alaska had the second highest work-related fatality rate and 14th highest non-fatal injury rate in the United States. This study aimed to characterize nonfatal and fatal occupational injuries among young workers in Alaska. METHODS: To describe injury patterns among Alaska young workers from 2014–2018, we used data from four datasets: Alaska Workers’ Compensation, Alaska Occupational Injury Surveillance System, Alaska Trauma Registry, and Alaska Fishermen’s Fund. The datasets were merged two at a time and filtered by the worker characteristics (e.g., age and sex) and incident characteristics (e.g., date of injury). Duplicates were then manually identified between the datasets using the variables above. The injury narrative and Occupational Injury and Illness Classification System codes were used last to verify true duplicates. Descriptive analyses were performed after the duplicates were merged. RESULTS: During the 5-year study period 2014–2018, young workers experienced 20 fatal and 12,886 nonfatal injuries. Residents of Alaska comprised 85% of nonfatal and 70% of fatal injuries. The top three major occupation groups with the highest number of injuries were production (1,391, 14%), food preparation (1,225, 12%), and transportation/material moving (1,166, 11%). The most common events leading to injuries were struck by object or equipment (2,027, 21%), overexertion involving outside sources (1,385, 14%), and struck against object or equipment (905, 9%). The most common nature of injuries were sprains/strains/tears (3,024, 29%), cuts/lacerations (1,955, 19%), and bruises/contusions (1,592, 15%). CONCLUSION: Although progress has been made in reducing worker injuries, Alaskan young workers still experience injuries and fatalities frequently. Based on findings, there is a clear need for employers, researchers, public health professionals, parents, and young workers to prioritize young worker safety through an integrated approach, from education and training to adequate workplace supervision and support. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14676-7. |
format | Online Article Text |
id | pubmed-9830688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98306882023-01-11 Traumatic injuries among Alaska’s young workers: Linking cases from four data systems Evoy, Richard Syron, Laura Case, Samantha Lucas, Devin BMC Public Health Research BACKGROUND: Young workers (aged 15–24 years) experience higher rates of job-related injury compared with workers aged 25–44 years in the United States. Young workers may have limited or no prior work experience or safety training, which can contribute to their injury risk. In 2018, Alaska had the second highest work-related fatality rate and 14th highest non-fatal injury rate in the United States. This study aimed to characterize nonfatal and fatal occupational injuries among young workers in Alaska. METHODS: To describe injury patterns among Alaska young workers from 2014–2018, we used data from four datasets: Alaska Workers’ Compensation, Alaska Occupational Injury Surveillance System, Alaska Trauma Registry, and Alaska Fishermen’s Fund. The datasets were merged two at a time and filtered by the worker characteristics (e.g., age and sex) and incident characteristics (e.g., date of injury). Duplicates were then manually identified between the datasets using the variables above. The injury narrative and Occupational Injury and Illness Classification System codes were used last to verify true duplicates. Descriptive analyses were performed after the duplicates were merged. RESULTS: During the 5-year study period 2014–2018, young workers experienced 20 fatal and 12,886 nonfatal injuries. Residents of Alaska comprised 85% of nonfatal and 70% of fatal injuries. The top three major occupation groups with the highest number of injuries were production (1,391, 14%), food preparation (1,225, 12%), and transportation/material moving (1,166, 11%). The most common events leading to injuries were struck by object or equipment (2,027, 21%), overexertion involving outside sources (1,385, 14%), and struck against object or equipment (905, 9%). The most common nature of injuries were sprains/strains/tears (3,024, 29%), cuts/lacerations (1,955, 19%), and bruises/contusions (1,592, 15%). CONCLUSION: Although progress has been made in reducing worker injuries, Alaskan young workers still experience injuries and fatalities frequently. Based on findings, there is a clear need for employers, researchers, public health professionals, parents, and young workers to prioritize young worker safety through an integrated approach, from education and training to adequate workplace supervision and support. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14676-7. BioMed Central 2023-01-09 /pmc/articles/PMC9830688/ /pubmed/36624461 http://dx.doi.org/10.1186/s12889-022-14676-7 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Evoy, Richard Syron, Laura Case, Samantha Lucas, Devin Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title | Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title_full | Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title_fullStr | Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title_full_unstemmed | Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title_short | Traumatic injuries among Alaska’s young workers: Linking cases from four data systems |
title_sort | traumatic injuries among alaska’s young workers: linking cases from four data systems |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830688/ https://www.ncbi.nlm.nih.gov/pubmed/36624461 http://dx.doi.org/10.1186/s12889-022-14676-7 |
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