Yong-Ku Kong1, Sung-Yong Lee1, Kyung-Suk Lee2, Dae-Min Kim3. 1. a Department of Industrial Engineering , Sungkyunkwan University , Republic of Korea. 2. b Rural Resources Development Institute , NIAST, RDA , Republic of Korea. 3. c Division of Mechatronics Engineering , Dongseo University , Republic of Korea.
Abstract
INTRODUCTION: The purpose of this study was to validate the agricultural lower limb assessment (ALLA) ergonomic checklist, which was developed for various agricultural tasks in Korea. METHODS: One hundred and ninety-six working postures were selected from the real agricultural tasks to verify ALLA, a lower limb body posture assessment tool, and then evaluated by 16 ergonomic experts. Hit rate, quadratic weighted κ, one-way analysis of variance and t-test analyses were applied to compare ALLA with other assessment tools. RESULTS: ALLA analysis had a superior hit rate with ergonomic expert assessment compared with other assessment tools. Quadratic weighted κ analysis also showed that ALLA provided superior estimates of risk levels for farm working postures. DISCUSSION: ALLA would be an appropriate assessment tool to estimate risk factors for various lower limb body postures which frequently occur in agricultural tasks in Korea. ALLA is a simple and accurate risk assessment tool that could be usefully applied to identify and mitigate risk factors and work-related musculoskeletal disorders in agricultural tasks, and also to evaluate the effects of control and intervention for working conditions.
INTRODUCTION: The purpose of this study was to validate the agricultural lower limb assessment (ALLA) ergonomic checklist, which was developed for various agricultural tasks in Korea. METHODS: One hundred and ninety-six working postures were selected from the real agricultural tasks to verify ALLA, a lower limb body posture assessment tool, and then evaluated by 16 ergonomic experts. Hit rate, quadratic weighted κ, one-way analysis of variance and t-test analyses were applied to compare ALLA with other assessment tools. RESULTS: ALLA analysis had a superior hit rate with ergonomic expert assessment compared with other assessment tools. Quadratic weighted κ analysis also showed that ALLA provided superior estimates of risk levels for farm working postures. DISCUSSION: ALLA would be an appropriate assessment tool to estimate risk factors for various lower limb body postures which frequently occur in agricultural tasks in Korea. ALLA is a simple and accurate risk assessment tool that could be usefully applied to identify and mitigate risk factors and work-related musculoskeletal disorders in agricultural tasks, and also to evaluate the effects of control and intervention for working conditions.
Authors: Augustine A Acquah; Clive D'Souza; Bernard J Martin; John Arko-Mensah; Paul K Botwe; Prudence Tettey; Duah Dwomoh; Afua Amoabeng Nti; Lawrencia Kwarteng; Sylvia Takyi; Isabella A Quakyi; Thomas G Robins; Julius N Fobil Journal: Int J Ind Ergon Date: 2021-02-23 Impact factor: 2.656
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