Cumulative Mass and NIOSH Variable Lifting Index Method for Risk Assessment: Possible Relations
Objective The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP). Background A validation study of the VLI method was published in this journal reporting promising res...
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Veröffentlicht in: | Human factors 2018-02, Vol.60 (1), p.57-67 |
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creator | Stucchi, Giulia Battevi, Natale Pandolfi, Monica Galinotti, Luca Iodice, Simona Favero, Chiara |
description | Objective
The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP).
Background
A validation study of the VLI method was published in this journal reporting promising results. Although several studies highlighted a positive correlation between cumulative load and LBP, cumulative mass has never been considered in any of the studies investigating the relationship between manual material handling and LBP.
Method
Both VLI and cumulative mass were calculated for 2,374 exposed subjects using a systematic approach. Due to high variability of cumulative mass values, a stratification within VLI categories was employed. Dummy variables (1–4) were assigned to each class and used as a multiplier factor for the VLI, resulting in a new index (VLI_CMM). Data on LBP were collected by occupational physicians at the study sites. Logistic regression was used to estimate the risk of acute LBP within levels of risk exposure when compared with a control group formed by 1,028 unexposed subjects.
Results
Data showed greatly variable values of cumulative mass across all VLI classes. The potential effect of cumulative mass on damage emerged as not significant (p value = .6526).
Conclusion
When comparing VLI_CMM with raw VLI, the former failed to prove itself as a better predictor of LBP risk.
Application
To recognize cumulative mass as a modifier, especially for lumbar degenerative spine diseases, authors of future studies should investigate potential association between the VLI and other damage variables. |
doi_str_mv | 10.1177/0018720817732413 |
format | Article |
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The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP).
Background
A validation study of the VLI method was published in this journal reporting promising results. Although several studies highlighted a positive correlation between cumulative load and LBP, cumulative mass has never been considered in any of the studies investigating the relationship between manual material handling and LBP.
Method
Both VLI and cumulative mass were calculated for 2,374 exposed subjects using a systematic approach. Due to high variability of cumulative mass values, a stratification within VLI categories was employed. Dummy variables (1–4) were assigned to each class and used as a multiplier factor for the VLI, resulting in a new index (VLI_CMM). Data on LBP were collected by occupational physicians at the study sites. Logistic regression was used to estimate the risk of acute LBP within levels of risk exposure when compared with a control group formed by 1,028 unexposed subjects.
Results
Data showed greatly variable values of cumulative mass across all VLI classes. The potential effect of cumulative mass on damage emerged as not significant (p value = .6526).
Conclusion
When comparing VLI_CMM with raw VLI, the former failed to prove itself as a better predictor of LBP risk.
Application
To recognize cumulative mass as a modifier, especially for lumbar degenerative spine diseases, authors of future studies should investigate potential association between the VLI and other damage variables.</description><identifier>ISSN: 0018-7208</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/0018720817732413</identifier><identifier>PMID: 28967807</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adult ; Back pain ; Biomechanical Phenomena - physiology ; Correlation analysis ; Data processing ; Humans ; Lifting ; Low back pain ; Low Back Pain - prevention & control ; Materials handling ; National Institute for Occupational Safety and Health (U.S.) - standards ; Occupational Diseases - prevention & control ; Occupational exposure ; Pain ; Physicians ; Risk assessment ; Risk Assessment - methods ; Space life sciences ; Spine ; Spine (lumbar) ; Studies ; United States</subject><ispartof>Human factors, 2018-02, Vol.60 (1), p.57-67</ispartof><rights>2017, Human Factors and Ergonomics Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-56e23208b3138570948334ca78d6a76cd514d1c69744d26e51953e1516aa7393</citedby><cites>FETCH-LOGICAL-c455t-56e23208b3138570948334ca78d6a76cd514d1c69744d26e51953e1516aa7393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0018720817732413$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0018720817732413$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28967807$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stucchi, Giulia</creatorcontrib><creatorcontrib>Battevi, Natale</creatorcontrib><creatorcontrib>Pandolfi, Monica</creatorcontrib><creatorcontrib>Galinotti, Luca</creatorcontrib><creatorcontrib>Iodice, Simona</creatorcontrib><creatorcontrib>Favero, Chiara</creatorcontrib><title>Cumulative Mass and NIOSH Variable Lifting Index Method for Risk Assessment: Possible Relations</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>Objective
The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP).
Background
A validation study of the VLI method was published in this journal reporting promising results. Although several studies highlighted a positive correlation between cumulative load and LBP, cumulative mass has never been considered in any of the studies investigating the relationship between manual material handling and LBP.
Method
Both VLI and cumulative mass were calculated for 2,374 exposed subjects using a systematic approach. Due to high variability of cumulative mass values, a stratification within VLI categories was employed. Dummy variables (1–4) were assigned to each class and used as a multiplier factor for the VLI, resulting in a new index (VLI_CMM). Data on LBP were collected by occupational physicians at the study sites. Logistic regression was used to estimate the risk of acute LBP within levels of risk exposure when compared with a control group formed by 1,028 unexposed subjects.
Results
Data showed greatly variable values of cumulative mass across all VLI classes. The potential effect of cumulative mass on damage emerged as not significant (p value = .6526).
Conclusion
When comparing VLI_CMM with raw VLI, the former failed to prove itself as a better predictor of LBP risk.
Application
To recognize cumulative mass as a modifier, especially for lumbar degenerative spine diseases, authors of future studies should investigate potential association between the VLI and other damage variables.</description><subject>Adult</subject><subject>Back pain</subject><subject>Biomechanical Phenomena - physiology</subject><subject>Correlation analysis</subject><subject>Data processing</subject><subject>Humans</subject><subject>Lifting</subject><subject>Low back pain</subject><subject>Low Back Pain - prevention & control</subject><subject>Materials handling</subject><subject>National Institute for Occupational Safety and Health (U.S.) - standards</subject><subject>Occupational Diseases - prevention & control</subject><subject>Occupational exposure</subject><subject>Pain</subject><subject>Physicians</subject><subject>Risk assessment</subject><subject>Risk Assessment - methods</subject><subject>Space life sciences</subject><subject>Spine</subject><subject>Spine (lumbar)</subject><subject>Studies</subject><subject>United States</subject><issn>0018-7208</issn><issn>1547-8181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kElLxEAQhRtRdFzunqTBi5doV3qNNxnUGRgXVLyGnqRGo1k0lYj-ezuMigieqqC-96rqMbYL4hDA2iMhwNlYuNDLWIFcYSPQykYOHKyy0TCOhvkG2yR6EkKYROp1thG7xFgn7Iil477qS98Vb8gvPBH3dc4vp1e3E37v28LPS-SzYtEV9QOf1jm-8wvsHpucL5qW3xT0zE-IkKjCujvm1w1RMUhucPBsatpmawtfEu581S12d3Z6N55Es6vz6fhkFmVK6y7SBmMZDp1LkE5bkSgnpcq8dbnx1mS5BpVDZhKrVB4b1JBoiaDBeG9lIrfYwdL2pW1ee6QurQrKsCx9jU1PKSRKWzBKQED3_6BPTd_W4bhAuUSCstIFSiyprA0_tbhIX9qi8u1HCiIdsk__Zh8ke1_G_bzC_EfwHXYAoiVA_gF_bf3P8BNooohT</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Stucchi, Giulia</creator><creator>Battevi, Natale</creator><creator>Pandolfi, Monica</creator><creator>Galinotti, Luca</creator><creator>Iodice, Simona</creator><creator>Favero, Chiara</creator><general>SAGE Publications</general><general>Human Factors and Ergonomics Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20180201</creationdate><title>Cumulative Mass and NIOSH Variable Lifting Index Method for Risk Assessment: Possible Relations</title><author>Stucchi, Giulia ; Battevi, Natale ; Pandolfi, Monica ; Galinotti, Luca ; Iodice, Simona ; Favero, Chiara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-56e23208b3138570948334ca78d6a76cd514d1c69744d26e51953e1516aa7393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Back pain</topic><topic>Biomechanical Phenomena - physiology</topic><topic>Correlation analysis</topic><topic>Data processing</topic><topic>Humans</topic><topic>Lifting</topic><topic>Low back pain</topic><topic>Low Back Pain - prevention & control</topic><topic>Materials handling</topic><topic>National Institute for Occupational Safety and Health (U.S.) - standards</topic><topic>Occupational Diseases - prevention & control</topic><topic>Occupational exposure</topic><topic>Pain</topic><topic>Physicians</topic><topic>Risk assessment</topic><topic>Risk Assessment - methods</topic><topic>Space life sciences</topic><topic>Spine</topic><topic>Spine (lumbar)</topic><topic>Studies</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stucchi, Giulia</creatorcontrib><creatorcontrib>Battevi, Natale</creatorcontrib><creatorcontrib>Pandolfi, Monica</creatorcontrib><creatorcontrib>Galinotti, Luca</creatorcontrib><creatorcontrib>Iodice, Simona</creatorcontrib><creatorcontrib>Favero, Chiara</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Human factors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stucchi, Giulia</au><au>Battevi, Natale</au><au>Pandolfi, Monica</au><au>Galinotti, Luca</au><au>Iodice, Simona</au><au>Favero, Chiara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cumulative Mass and NIOSH Variable Lifting Index Method for Risk Assessment: Possible Relations</atitle><jtitle>Human factors</jtitle><addtitle>Hum Factors</addtitle><date>2018-02-01</date><risdate>2018</risdate><volume>60</volume><issue>1</issue><spage>57</spage><epage>67</epage><pages>57-67</pages><issn>0018-7208</issn><eissn>1547-8181</eissn><abstract>Objective
The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP).
Background
A validation study of the VLI method was published in this journal reporting promising results. Although several studies highlighted a positive correlation between cumulative load and LBP, cumulative mass has never been considered in any of the studies investigating the relationship between manual material handling and LBP.
Method
Both VLI and cumulative mass were calculated for 2,374 exposed subjects using a systematic approach. Due to high variability of cumulative mass values, a stratification within VLI categories was employed. Dummy variables (1–4) were assigned to each class and used as a multiplier factor for the VLI, resulting in a new index (VLI_CMM). Data on LBP were collected by occupational physicians at the study sites. Logistic regression was used to estimate the risk of acute LBP within levels of risk exposure when compared with a control group formed by 1,028 unexposed subjects.
Results
Data showed greatly variable values of cumulative mass across all VLI classes. The potential effect of cumulative mass on damage emerged as not significant (p value = .6526).
Conclusion
When comparing VLI_CMM with raw VLI, the former failed to prove itself as a better predictor of LBP risk.
Application
To recognize cumulative mass as a modifier, especially for lumbar degenerative spine diseases, authors of future studies should investigate potential association between the VLI and other damage variables.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>28967807</pmid><doi>10.1177/0018720817732413</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Back pain Biomechanical Phenomena - physiology Correlation analysis Data processing Humans Lifting Low back pain Low Back Pain - prevention & control Materials handling National Institute for Occupational Safety and Health (U.S.) - standards Occupational Diseases - prevention & control Occupational exposure Pain Physicians Risk assessment Risk Assessment - methods Space life sciences Spine Spine (lumbar) Studies United States |
title | Cumulative Mass and NIOSH Variable Lifting Index Method for Risk Assessment: Possible Relations |
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