ArticleHuman factors2016
Variable Lifting Index (VLI): A New Method for Evaluating Variable Lifting Tasks.
Article in Human factors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- From Wearable Sensor Networks to Markerless Motion Capture for Instrumental-Based Biomechanical Risk Assessment in Lifting Activities.Sensors (Basel, Switzerland) · 2025Article
- Article
- From the idea to the user: a pragmatic multifaceted approach to testing occupational exoskeletons.Wearable technologies · 2025Article
- Criteria for Assessing Exposure to Biomechanical Risk Factors: A Research-to-Practice Guide-Part 1: General Issues and Manual Material Handling.Life (Basel, Switzerland) · 2024Review
- Assessment of Load Manual Lifting among Shelf-Stoking Workers in Chain Stores: A Cross-Sectional Study.Applied bionics and biomechanics · 2024Article
- Online Ergonomic Evaluation in Realistic Manual Material Handling Task: Proof of Concept.Bioengineering (Basel, Switzerland) · 2023Article
- Ergonomic Stressors Among Pregnant Healthcare Workers: Impact on pregnancy outcomes and recommended safety practices.Sultan Qaboos University medical journal · 2021Review
- Equivalent Weight: Connecting Exoskeleton Effectiveness with Ergonomic Risk during Manual Material Handling.International journal of environmental research and public health · 2021Article
- The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.Sensors (Basel, Switzerland) · 2020Article
- Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models.Safety and health at work · 2017Article
- First results of the application of the Latin Questionnaire in comparison with populations of reference workers obtained through preliminary epidemiological studies.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMTArticle
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5 authors.
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Abstract
objectiveWe seek to develop a new approach for analyzing the physical demands of highly variable lifting tasks through an adaptation of the Revised NIOSH (National Institute for Occupational Safety and Health) Lifting Equation (RNLE) into a Variable Lifting Index (VLI).
backgroundThere are many jobs that contain individual lifts that vary from lift to lift due to the task requirements. The NIOSH Lifting Equation is not suitable in its present form to analyze variable lifting tasks.
methodIn extending the prior work on the VLI, two procedures are presented to allow users to analyze variable lifting tasks. One approach involves the sampling of lifting tasks performed by a worker over a shift and the calculation of the Frequency Independent Lift Index (FILI) for each sampled lift and the aggregation of the FILI values into six categories. The Composite Lift Index (CLI) equation is used with lifting index (LI) category frequency data to calculate the VLI. The second approach employs a detailed systematic collection of lifting task data from production and/or organizational sources. The data are organized into simplified task parameter categories and further aggregated into six FILI categories, which also use the CLI equation to calculate the VLI.
resultsThe two procedures will allow practitioners to systematically employ the VLI method to a variety of work situations where highly variable lifting tasks are performed.
conclusionsThe scientific basis for the VLI procedure is similar to that for the CLI originally presented by NIOSH; however, the VLI method remains to be validated. APPLICATION: The VLI method allows an analyst to assess highly variable manual lifting jobs in which the task characteristics vary from lift to lift during a shift.
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