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
Hauptverfasser: Stucchi, Giulia, Battevi, Natale, Pandolfi, Monica, Galinotti, Luca, Iodice, Simona, Favero, Chiara
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container_end_page 67
container_issue 1
container_start_page 57
container_title Human factors
container_volume 60
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.
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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 &amp; control ; Materials handling ; National Institute for Occupational Safety and Health (U.S.) - standards ; Occupational Diseases - prevention &amp; 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). 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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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