Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases
The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings. The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The...
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| Veröffentlicht in: | Central European journal of public health 2016-03, Vol.24 (1), p.58-67 |
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| creator | Hlávková, Jana Lebeda, Tomáš Tichý, Tomáš Gaďourek, Petr Urban, Pavel Nakládalová, Marie Laštovková, Andrea Fenclová, Zdenka Ridzoň, Petr Ehler, Edvard Richter, Milan Pešáková, Lenka Pelclová, Daniela |
| description | The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings.
The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity.
We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm.
Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job. |
| doi_str_mv | 10.21101/cejph.a4332 |
| format | Article |
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The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity.
We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm.
Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job.</description><identifier>ISSN: 1210-7778</identifier><identifier>EISSN: 1803-1048</identifier><identifier>DOI: 10.21101/cejph.a4332</identifier><identifier>PMID: 27070971</identifier><language>eng</language><publisher>Czech Republic: National Institute of Public Health</publisher><subject>Algorithms ; Anthropometry ; Biomechanical Phenomena ; Biomechanics ; Czech Republic - epidemiology ; Disease prevention ; Ergonomics ; Health risks ; Humans ; Load ; Low Back Pain - epidemiology ; Low Back Pain - physiopathology ; Lumbar Vertebrae - physiology ; Methods ; National Institute for Occupational Safety and Health (U.S.) ; Occupational diseases ; Occupational Diseases - epidemiology ; Occupational Diseases - physiopathology ; Posture - physiology ; Predictive Value of Tests ; Risk factors ; Software ; Spine ; Task analysis ; United States ; Weight-Bearing - physiology ; Work Capacity Evaluation</subject><ispartof>Central European journal of public health, 2016-03, Vol.24 (1), p.58-67</ispartof><rights>Copyright© by the National Institute of Public Health, Prague 2015.</rights><rights>Copyright National Institute of Public Health Mar 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-b2b348d1e546474c8f0ee8d828595390a21daeb6e50ae114d7df5b4ecffee3b83</citedby><cites>FETCH-LOGICAL-c423t-b2b348d1e546474c8f0ee8d828595390a21daeb6e50ae114d7df5b4ecffee3b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27070971$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hlávková, Jana</creatorcontrib><creatorcontrib>Lebeda, Tomáš</creatorcontrib><creatorcontrib>Tichý, Tomáš</creatorcontrib><creatorcontrib>Gaďourek, Petr</creatorcontrib><creatorcontrib>Urban, Pavel</creatorcontrib><creatorcontrib>Nakládalová, Marie</creatorcontrib><creatorcontrib>Laštovková, Andrea</creatorcontrib><creatorcontrib>Fenclová, Zdenka</creatorcontrib><creatorcontrib>Ridzoň, Petr</creatorcontrib><creatorcontrib>Ehler, Edvard</creatorcontrib><creatorcontrib>Richter, Milan</creatorcontrib><creatorcontrib>Pešáková, Lenka</creatorcontrib><creatorcontrib>Pelclová, Daniela</creatorcontrib><title>Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases</title><title>Central European journal of public health</title><addtitle>Cent Eur J Public Health</addtitle><description>The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings.
The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity.
We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm.
Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job.</description><subject>Algorithms</subject><subject>Anthropometry</subject><subject>Biomechanical Phenomena</subject><subject>Biomechanics</subject><subject>Czech Republic - epidemiology</subject><subject>Disease prevention</subject><subject>Ergonomics</subject><subject>Health risks</subject><subject>Humans</subject><subject>Load</subject><subject>Low Back Pain - epidemiology</subject><subject>Low Back Pain - physiopathology</subject><subject>Lumbar Vertebrae - physiology</subject><subject>Methods</subject><subject>National Institute for Occupational Safety and Health (U.S.)</subject><subject>Occupational diseases</subject><subject>Occupational Diseases - epidemiology</subject><subject>Occupational Diseases - physiopathology</subject><subject>Posture - physiology</subject><subject>Predictive Value of Tests</subject><subject>Risk factors</subject><subject>Software</subject><subject>Spine</subject><subject>Task analysis</subject><subject>United States</subject><subject>Weight-Bearing - 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epidemiology</topic><topic>Disease prevention</topic><topic>Ergonomics</topic><topic>Health risks</topic><topic>Humans</topic><topic>Load</topic><topic>Low Back Pain - epidemiology</topic><topic>Low Back Pain - physiopathology</topic><topic>Lumbar Vertebrae - physiology</topic><topic>Methods</topic><topic>National Institute for Occupational Safety and Health (U.S.)</topic><topic>Occupational diseases</topic><topic>Occupational Diseases - epidemiology</topic><topic>Occupational Diseases - physiopathology</topic><topic>Posture - physiology</topic><topic>Predictive Value of Tests</topic><topic>Risk factors</topic><topic>Software</topic><topic>Spine</topic><topic>Task analysis</topic><topic>United States</topic><topic>Weight-Bearing - physiology</topic><topic>Work Capacity Evaluation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hlávková, Jana</creatorcontrib><creatorcontrib>Lebeda, Tomáš</creatorcontrib><creatorcontrib>Tichý, Tomáš</creatorcontrib><creatorcontrib>Gaďourek, Petr</creatorcontrib><creatorcontrib>Urban, Pavel</creatorcontrib><creatorcontrib>Nakládalová, Marie</creatorcontrib><creatorcontrib>Laštovková, Andrea</creatorcontrib><creatorcontrib>Fenclová, Zdenka</creatorcontrib><creatorcontrib>Ridzoň, Petr</creatorcontrib><creatorcontrib>Ehler, Edvard</creatorcontrib><creatorcontrib>Richter, Milan</creatorcontrib><creatorcontrib>Pešáková, Lenka</creatorcontrib><creatorcontrib>Pelclová, Daniela</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><jtitle>Central European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hlávková, Jana</au><au>Lebeda, Tomáš</au><au>Tichý, Tomáš</au><au>Gaďourek, Petr</au><au>Urban, Pavel</au><au>Nakládalová, Marie</au><au>Laštovková, Andrea</au><au>Fenclová, Zdenka</au><au>Ridzoň, Petr</au><au>Ehler, Edvard</au><au>Richter, Milan</au><au>Pešáková, Lenka</au><au>Pelclová, Daniela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases</atitle><jtitle>Central European journal of public health</jtitle><addtitle>Cent Eur J Public Health</addtitle><date>2016-03</date><risdate>2016</risdate><volume>24</volume><issue>1</issue><spage>58</spage><epage>67</epage><pages>58-67</pages><issn>1210-7778</issn><eissn>1803-1048</eissn><abstract>The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings.
The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity.
We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm.
Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job.</abstract><cop>Czech Republic</cop><pub>National Institute of Public Health</pub><pmid>27070971</pmid><doi>10.21101/cejph.a4332</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Anthropometry Biomechanical Phenomena Biomechanics Czech Republic - epidemiology Disease prevention Ergonomics Health risks Humans Load Low Back Pain - epidemiology Low Back Pain - physiopathology Lumbar Vertebrae - physiology Methods National Institute for Occupational Safety and Health (U.S.) Occupational diseases Occupational Diseases - epidemiology Occupational Diseases - physiopathology Posture - physiology Predictive Value of Tests Risk factors Software Spine Task analysis United States Weight-Bearing - physiology Work Capacity Evaluation |
| title | Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases |
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