Development and evaluation of the novel postural loading on the entire body assessment

Abstract

This study aimed to develop and evaluate a novel observational technique for postural Loading on the Entire Body Assessment (LEBA). The technique was developed based on discomfort and epidemiological data from previous research, from which posture classification and scoring systems of representative observational methods were adopted and modified. The LEBA score reflected the effects of posture, external load, motion repetition, static loading, and coupling. The LEBA score for a given posture was obtained by summing the scores for these factors (except coupling) and multiplying the sum by the coupling multiplier. LEBA scores were classified into four action categories, depending on the urgency of corrective actions. Correlation analyses between LEBA scores and postural load criteria yielded confirmative results, with correlation coefficients of >0.60. Application to epidemiological cases of work-related musculoskeletal disorders indicated that LEBA action categories aided in determining whether musculoskeletal disorders were work-related. Acceptable reliability and usability were also observed.

Practitioner summary: This study developed and evaluated a novel observational technique for postural loading on the entire body assessment (LEBA), based on perceived discomfort and epidemiological data from previous studies. LEBA scores aided in determining risk levels and urgent indications for more detailed assessments and/or interventions and the work-relatedness of musculoskeletal disorders.

Keywords:

• Postural loading
• observational technique: musculoskeletal disorder
• posture classification scheme

Acknowledgments

The author would like to thank Editage (www.editage.co.kr) for English language editing.

Disclosure statement

The author declares that he has no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data availability statement

Data are available by personal communication with the author.

Additional information

Funding

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea [grant number NRF-2017R1D1A1B03028532].