Severity of U.S. Construction Worker Injuries, 2015-2017

Workers in the U.S. construction industry experience workplace hazards that can lead to work-related injuries that sometimes are fatal. Reported in this paper is a case-control study of risks factors associated with 4,845 injured workers and their work environments that led to fatal rather than nonf...

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Main Authors: Passmore David, Chae Chungil, Borkovskaya Victoria, Baker Rose, Yim Jeong-Ha
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/23/e3sconf_form2018_06038.pdf
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spelling doaj-d13a753d219b4aa0a4ffbe2ad13f9b1b2021-02-02T04:34:26ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01970603810.1051/e3sconf/20199706038e3sconf_form2018_06038Severity of U.S. Construction Worker Injuries, 2015-2017Passmore David0Chae Chungil1Borkovskaya Victoria2Baker Rose3Yim Jeong-Ha4Penn State University, Workforce Education and DevelopmentPenn State University, Applied Cognitive Science LabMoscow State University of Civil EngineeringUniversity of North Texas, Learning TechnologiesUniversity of Georgia, Lifelong Education, Administration, and PolicyWorkers in the U.S. construction industry experience workplace hazards that can lead to work-related injuries that sometimes are fatal. Reported in this paper is a case-control study of risks factors associated with 4,845 injured workers and their work environments that led to fatal rather than nonfatal injuries during 2015-2017. These injury data originally were assembled from information collected by the U.S. Bureau of Labor Statistics that were used in a machine learning competition, but were repurposed for this secondary analysis of injury risks. Sixty-one percent of workers recorded in this dataset were injured fatally. Multiple logistic regression was applied to model the probability of a fatal injury as a function of the nature of the injury, part of body injured, human factors involved, whether the injured worker was carrying out a regularly assigned task at the time of the injury, and the manner in which the injury was inflicted. Related positively, relative to benchmarks, to the probability of a fatality injury were: falls and strikes; electrocution; asphyxiation and drowning; injury to the head and neck; and working at a task not regularly assigned. Negatively related to the probability of a fatal injury were: chemical/temperature burns; amputation and crushing; fractures and dislocations; injuries to fingers, hands, wrists, and other extremities; and falls from an elevation or to the same level, although this last negative relationship is anomalous in the light of independent research findings. Findings of this study do not necessarily culpable causes of work-related death. Rather these findings identify risk factors that might prove fruitful for further analysis of the incidence, severity, and costs of construction injuries.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/23/e3sconf_form2018_06038.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Passmore David
Chae Chungil
Borkovskaya Victoria
Baker Rose
Yim Jeong-Ha
spellingShingle Passmore David
Chae Chungil
Borkovskaya Victoria
Baker Rose
Yim Jeong-Ha
Severity of U.S. Construction Worker Injuries, 2015-2017
E3S Web of Conferences
author_facet Passmore David
Chae Chungil
Borkovskaya Victoria
Baker Rose
Yim Jeong-Ha
author_sort Passmore David
title Severity of U.S. Construction Worker Injuries, 2015-2017
title_short Severity of U.S. Construction Worker Injuries, 2015-2017
title_full Severity of U.S. Construction Worker Injuries, 2015-2017
title_fullStr Severity of U.S. Construction Worker Injuries, 2015-2017
title_full_unstemmed Severity of U.S. Construction Worker Injuries, 2015-2017
title_sort severity of u.s. construction worker injuries, 2015-2017
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description Workers in the U.S. construction industry experience workplace hazards that can lead to work-related injuries that sometimes are fatal. Reported in this paper is a case-control study of risks factors associated with 4,845 injured workers and their work environments that led to fatal rather than nonfatal injuries during 2015-2017. These injury data originally were assembled from information collected by the U.S. Bureau of Labor Statistics that were used in a machine learning competition, but were repurposed for this secondary analysis of injury risks. Sixty-one percent of workers recorded in this dataset were injured fatally. Multiple logistic regression was applied to model the probability of a fatal injury as a function of the nature of the injury, part of body injured, human factors involved, whether the injured worker was carrying out a regularly assigned task at the time of the injury, and the manner in which the injury was inflicted. Related positively, relative to benchmarks, to the probability of a fatality injury were: falls and strikes; electrocution; asphyxiation and drowning; injury to the head and neck; and working at a task not regularly assigned. Negatively related to the probability of a fatal injury were: chemical/temperature burns; amputation and crushing; fractures and dislocations; injuries to fingers, hands, wrists, and other extremities; and falls from an elevation or to the same level, although this last negative relationship is anomalous in the light of independent research findings. Findings of this study do not necessarily culpable causes of work-related death. Rather these findings identify risk factors that might prove fruitful for further analysis of the incidence, severity, and costs of construction injuries.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/23/e3sconf_form2018_06038.pdf
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