Literature DB >> 24669542

The NIOSH lifting equation and low-back pain, Part 2: Association with seeking care in the backworks prospective cohort study.

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

Abstract

OBJECTIVE: The aim of this study was to investigate the relationship between the revised NIOSH lifting equation (RNLE) and risk of seeking care for low-back pain (SC-LBP).
BACKGROUND: The RNLE is commonly used to quantify low-back physical stressors from lifting/lowering of loads in workplaces. There is no prospective study on relationship between RNLE and SC-LBP.
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 low-back pain were obtained at baseline. The cohort was followed monthly to ascertain SC-LBP and quarterly to determine changes in physical exposure. Associations between SC-LBP and both the peak lifting index (PLI) and peak composite lifting index (PCLI) were tested in multivariate models using proportional hazards regression.
RESULTS: SC-LBP lifetime prevalence at baseline was 31.9%, and there were 24 incident cases during follow-up. Factors predicting SC-LBP included job physical exposure (PLI and PCLI), history of low-back pain, age, female gender, and lower body mass index. In adjusted models, risk (hazard ratio [HR]) increased per unit increase in PLI and PCLI (p = .03 and .02, and maximum HR = 23.0 and 21.9, respectively). Whereas PCLI suggested a continuous increase in risk with an increase in PCLI, the PLI showed elevated, though somewhat reduced, risk at higher exposures (HR = 14.9 at PLI = 6).
CONCLUSION: Job physical stressors are associated with increased risk of SC-LBP. Data suggest that both the PLI and PCLI are useful metrics for estimating exposure to job physical stressors.

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Year:  2014        PMID: 24669542     DOI: 10.1177/0018720813491284

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


  5 in total

1.  Health-care utilisation for low back pain: a systematic review and meta-analysis of population-based observational studies.

Authors:  Getahun Kebede Beyera; Jane O'Brien; Steven Campbell
Journal:  Rheumatol Int       Date:  2019-08-28       Impact factor: 2.631

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.  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

5.  Engineered bridge protein with dual affinity for bone morphogenetic protein-2 and collagen enhances bone regeneration for spinal fusion.

Authors:  Priscilla S Briquez; Hsiu-Ming Tsai; Elyse A Watkins; Jeffrey A Hubbell
Journal:  Sci Adv       Date:  2021-06-11       Impact factor: 14.136

  5 in total

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