Literature DB >> 24669540

The NIOSH lifting equation and low-back pain, Part 1: Association with low-back pain in the backworks prospective cohort study.

Arun Garg, Sruthi Boda, Kurt T Hegmann, J Steven Moore, Jay M Kapellusch, Parag Bhoyar, Matthew S Thiese, Andrew Merryweather, Gwen Deckow-Schaefer, Donald Bloswick, Elizabeth J Malloy.   

Abstract

OBJECTIVE: The aim of this study was to evaluate relationships between the revised NIOSH lifting equation (RNLE) and risk of low-back pain (LBP).
BACKGROUND: The RNLE is commonly used to quantify job physical stressors to the low back from lifting and/or lowering of loads. There is no prospective study on the relationship between RNLE and LBP that includes accounting for relevant covariates.
METHOD: A cohort of 258 incident-eligible workers from 30 diverse facilities was followed for up to 4.5 years. Job physical exposures were individually measured. Worker demographics, medical history, psychosocial factors, hobbies, and current LBP were obtained at baseline. The cohort was followed monthly to ascertain development of LBP and quarterly to determine changes in job physical exposure. The relationship between LBP and peak lifting index (PLI) and peak composite lifting index (PCLI) were tested in multivariate models using proportional hazards regression.
RESULTS: Point and lifetime prevalences of LBP at baseline were 7.1% and 75.1%, respectively. During follow-up, there were 123 incident LBP cases. Factors predicting development of LBP included job physical exposure (PLI and PCLI), history of LBP, psychosocial factors, and housework. In adjusted models, risk (hazard ratio [HR]) increased per-unit increase in PLI and PCLI (p = .05 and .02; maximum HR = 4.3 and 4.2, respectively). PLI suggested a continuous increase in risk with an increase in PLI, whereas the PCLI showed elevated, but somewhat reduced, risk at higher exposures.
CONCLUSION: Job physical stressors are associated with increased risk of LBP. Data suggest that the PLI and PCLI are useful metrics for estimating exposure to job physical stressors.

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Year:  2014        PMID: 24669540     DOI: 10.1177/0018720813486669

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  7 in total

1.  Efficacy of the revised NIOSH lifting equation to predict risk of low-back pain associated with manual lifting: a one-year prospective study.

Authors:  Ming-Lun Lu; Thomas R Waters; Edward Krieg; Dwight Werren
Journal:  Hum Factors       Date:  2014-02       Impact factor: 2.888

Review 2.  Evaluation of the Impact of the Revised National Institute for Occupational Safety and Health Lifting Equation.

Authors:  Ming-Lun Lu; Vern Putz-Anderson; Arun Garg; Kermit G Davis
Journal:  Hum Factors       Date:  2016-01-28       Impact factor: 2.888

3.  Relationship Between Opioid Use and Pain Severity Ratings in Workers With Low Back Pain.

Authors:  Melissa Cheng; Matthew S Thiese; Eric M Wood; Jay Kapellusch; James Foster; David Drury; Andrew Merryweather; Kurt T Hegmann
Journal:  J Occup Environ Med       Date:  2019-10       Impact factor: 2.162

4.  Mechanical lifting energy consumption in work activities designed by means of the "revised NIOSH lifting equation".

Authors:  Alberto Ranavolo; Tiwana Varrecchia; Martina Rinaldi; Alessio Silvetti; Mariano Serrao; Silvia Conforto; Francesco Draicchio
Journal:  Ind Health       Date:  2017-08-07       Impact factor: 2.179

5.  Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models.

Authors:  Sudha P Pandalai; Matthew W Wheeler; Ming-Lun Lu
Journal:  Saf Health Work       Date:  2016-11-09

6.  Trunk Muscle Coactivation in People with and without Low Back Pain during Fatiguing Frequency-Dependent Lifting Activities.

Authors:  Tiwana Varrecchia; Silvia Conforto; Alessandro Marco De Nunzio; Francesco Draicchio; Deborah Falla; Alberto Ranavolo
Journal:  Sensors (Basel)       Date:  2022-02-12       Impact factor: 3.576

7.  Centre of pressure parameters for the assessment of biomechanical risk in fatiguing frequency-dependent lifting activities.

Authors:  Carmen D'Anna; Tiwana Varrecchia; Alberto Ranavolo; Alessandro Marco De Nunzio; Deborah Falla; Francesco Draicchio; Silvia Conforto
Journal:  PLoS One       Date:  2022-08-10       Impact factor: 3.752

  7 in total

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