Association Between Ergonomic Burden Assessed Using 20-Item Agricultural Work-Related Ergonomic Risk Questionnaire and Shoulder, Low Back, and Leg Pain in Korean Farmers

Baek, Sora; Park, Jintae; Kang, Eun Kyoung; Kim, Gowun; Kim, Hyocher; Park, Hee-won

doi:10.1080/1059924x.2023.2176958

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…In a previous study [13], a survey was administered to 1,001 Korean farmers using the Korean version of the 20-item Agricultural Work-related Ergonomic Risk Questionnaire. This questionnaire aimed to evaluate the frequencies of 20 actions associated with ergonomic risks in agricultural work.…”

Section: Items Of Physical Work Capacity Measurementmentioning

confidence: 99%

“…However, it is important to selectively evaluate functional capacity evaluations related to agriculture. Understanding the specific burden in Korean agriculture such as squatting, repetitive wrist movements, shoulder flexion, trunk flexion or twisting, lifting, pushing, and pulling [13], can help determine an individual's suitability for agricultural works.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Physical Work Capacity Evaluations for Korean Farmers Assessed in Healthy Volunteers

Jeong,

Kim,

Park

et al. 2023

Ann Rehabil Med

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Objective: To establish the lower limits of normative values of the physical work capacity for Korean farmers in healthy working individual. Methods: We developed a comprehensive set of physical work capacity evaluation items that encompass common farming tasks. These items include measurements of trunk flexion/extension angles, strength (hand grip, trunk flexion/extension, leg/back lifting, and pushing/pulling), and positional tolerances. We calculated the normative values for the items and defined the normal range in 124 healthy volunteers aged 20–79 years. We calculated the intraclass correlation coefficient (ICC) to validate the test-retest reliability of the measurements protocol.Results: The normal values for each measurement item were as follows: trunk flexion and extension angle (65.3°±11.6° and 29.6°±6.6°), dominant hand grip strength (32.2±10.5 kgf), trunk flexion and extension strength (288.4±119.0 N and 297.3±129.9 N), leg and back lifting strength (452.9±233.5 N and 349.2±166.7 N), pushing and pulling strength (214.7±75.1 N and 221.7±63.3 N), and positional tolerance time (squat: 76.8±9.0 seconds, front: 73.8±7.7 seconds, twist: 82.2±8.8 seconds, upward: 71.9±11.3 seconds). Regarding test-retest reliability, all strength measurements demonstrated excellent absolute agreement (ICC, 0.91–0.96). However, positional tolerance showed poor-to-moderate absolute agreement (ICC, 0.37–0.58).Conclusion: We conducted measurements of muscle strength and positional tolerance in healthy participants of various ages, focusing on tasks commonly performed by Korean farmers. The outcomes hold significant value as they offer a pertinent instrument for assessing the appropriateness of workers, thereby carrying implications for rehabilitation objectives, legal evaluations, and work capacity assessments within the agricultural domain.

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Section: Items Of Physical Work Capacity Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comprehensive Physical Work Capacity Evaluations for Korean Farmers Assessed in Healthy Volunteers

Jeong,

Kim,

Park

et al. 2023

Ann Rehabil Med

Self Cite

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“…We also recruited 339 new eligible individuals engaged in farming between 2016 and 2018. In consideration of the physically demanding nature and varied ergonomic tasks involved in farming [24,25] that contribute to specific changes in muscle volume, individuals who were not engaged in farming were excluded from the study. Among the initially identified 785 eligible participants, we excluded 195 non-active farmers, resulting in a total of 590 farmers who ultimately participated in the current assessment from 2016 to 2018.…”

Section: Participantsmentioning

confidence: 99%

Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning

Kim,

Park

et al. 2023

JCM

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This study assessed the potential of back extensor strength as an alternative marker of frailty. A total of 560 farmers were included. Computed tomography scans measured fat and muscle mass volumes at the mid-L4 vertebral level. Back extensor strength was measured in a seated posture. Multivariate linear regression was used to analyze the associations between back extensor strength and trunk muscle/fat compositions. The participants were divided into two groups based on back extensor strength. Propensity score matching, multivariate logistic regression, and Extreme Gradient Boosting (XGBoost) were employed to evaluate the relationship between Fried’s frailty criteria and back extensor strength. Back extensor strength exhibited positive associations with abdominal muscle volume (r = 1.12) as well as back muscle volume (r = 0.89) (p < 0.05). Back extensor strength was linked to more frail status, such as reduced grip strength, walking speed, and frequent self-reported exhaustion. Multivariate logistic regression indicated that back extensor strength was associated with higher frail status (OR = 0.990), and XGBoost analysis identified back extensor strength as the most important predictor (gain = 0.502) for frailty. The prediction models using grip strength produced similar results (OR = 0.869, gain = 0.482). These findings suggested the potential of back extensor strength as an alternative frailty marker.

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Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning

Kim,

Park

et al. 2023

Preprint

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This study assessed the potential of back extensor strength as an alternative marker of frailty. A total of 560 farmers were included. Computed tomography scans measured fat and muscle mass volumes at the mid-L4 vertebral level. Back extensor strength was measured in a seated posture. Multivariate linear regression analyzed the associations between back extensor strength and trunk muscle/fat compositions. The participants were divided into two groups based on back extensor strength. Propensity score matching, multivariate logistic regression, and Extreme Gradient Boosting (XGBoost) were employed to evaluate the relationship between Fried's frailty criteria and back extensor strength. Back extensor strength exhibited positive associations with abdominal muscle volume (r = 1.12) as well as back muscle volume (r = 0.89) (p < 0.05). Lower back extensor strength was linked to more frail status, such as reduced grip strength, walking speed, and fre-quent self-reported exhaustion. Multivariate logistic regression indicated a significant association between lower back extensor strength and higher Fried frailty score (OR, 0.990; p<0.05). XGBoost analysis identified back extensor strength as the most important predictor (gain = 0.502) for frailty, surpassing the significance of age (gain = 0.325). These findings suggested the potential of back extensor strength as an alternative frailty marker.

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Association Between Ergonomic Burden Assessed Using 20-Item Agricultural Work-Related Ergonomic Risk Questionnaire and Shoulder, Low Back, and Leg Pain in Korean Farmers

Cited by 4 publications

References 20 publications

Comprehensive Physical Work Capacity Evaluations for Korean Farmers Assessed in Healthy Volunteers

Comprehensive Physical Work Capacity Evaluations for Korean Farmers Assessed in Healthy Volunteers

Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning

Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning

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