Ergonomic assessment of musculoskeletal disorders risk among the computer users by Rapid Upper Limb Assessment method

Habibi, Ehsanollah; Mohammadi, Zahra; Sartang, Ayoub Ghanbary

doi:10.4103/2277-9183.190641

Cited by 13 publications

(3 citation statements)

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“…The more the joint moves away from the neutral part or towards one end of its range of motion, the greater the pressure placed on the muscles, tendons, and ligaments around the joint, which may also compress the nerves and irritate the tendons (OSHA, 2000). Awkward postures, such as lifting the arms, bending the head, neck, and trunk forward, cause ergonomic difficulties and influences the risk level (Habibi, Mohammadi, & Sartang, 2016). Therefore this needs to be addressed to avoid the pain of MSDs (Gałczyk, Zalewska, Białokoz-Kalinowska, & Sobolewski, 2021).…”

Section: Discussionmentioning

confidence: 99%

The correlation between smartphone use and musculoskeletal symptom

Agung Kristanto,

Erma Wati,

Choirul Bariyah

et al. 2023

JCST

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Several issues arise from using smartphones while sitting and lying down, such as poor posture and physical discomfort. Therefore, this research aims to assess the ergonomic risk level of smartphone users and determine the correlation between self-reported musculoskeletal disorders (MSDs) and ergonomic risk level. Data were collected from 90 participants, aged 18 to 24, through video recording while seated and using a smartphone. MSDs were measured using the Modified Standardised Nordic Questionnaires (SNQ) and the Numerical Rating Scale (NRS). Rapid Upper Limb Assessment (RULA) was used to evaluate ergonomic risks in the posture of smartphone users. Furthermore, the correlation between MSDs and the ergonomic risk levels was evaluated using Chi-Square and Fisher's exact tests. Most smartphone users had RULA scores between 6 and 7 for both the left and right sides, suggesting a need for immediate investigation and improvement. The results showed a strong correlation between the right sided RULA total score and MSDs in the neck and upper back. Other results showed there was a significant correlation between RULA B and RULA D scores with neck MSDs, as well as between the RULA score of the right upper arm and MSDs in the right shoulder, and between the RULA score of the neck and MSDs in the neck. The trunk RULA score also had a significant correlation with upper back MSDs. The research showed that smartphone users face significant ergonomic risks.

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Section: Discussionmentioning

confidence: 99%

The correlation between smartphone use and musculoskeletal symptom

Agung Kristanto,

Erma Wati,

Choirul Bariyah

et al. 2023

JCST

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“…O método RULA (Rapid Upper Limb Assessment) foi criado em meados de 1993 pela McAtamney e Carlett, da Universidade de Nottingham (Instituto Ocupacional de Ergonomia), a fim de analisar a atuação dos trabalhadores aos fatores que acarretam em uma alta carga postural e pode ocasionar distúrbios aos membros superiores do corpo. Para a análise do risco o método considera a posição, a duração e a frequência quando é mantido MOHAMMADI;SARTANG, 20017).…”

Section: Rula (Rapid Upper Limb Assessment)unclassified

Ergonomic Analysis Of Work In Masonry Wall Execution

Gonçalves,

Marques,

Rocha

2021

Revista Ação Ergonômica

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A construção civil é responsável por muitos acidentes do trabalho no Brasil, devido à exposição dos funcionários a vários fatores de risco. O presente estudo tem como objetivo realizar uma análise ergonômica do trabalho (AET) na execução de alvenaria de vedação para analisar, diagnosticar e corrigir situações de trabalho que não estejam de acordo com a NR17. Os métodos utilizados para análise foram RULA e OWAS através de observação in loco são possíveis classificar as posturas. Os resultados obtidos apresentaram pontuações de risco elevado para determinados membros e aceitável para outros. Através dos resultados, conclui-se que, diversas posturas necessitam de correções a fim de se assegurar a saúde e a integridade física do trabalhador.

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“…Fatigue can be known by muscular contraction ability of the forearm through the handgrip before and after work. There are differences in l contraction ability of the fingers and arms before and after working in front of the computer for 4 hours 4 . According to a study, musculoskeletal disorders that are caused by typing are associated with many factors 5 .…”

Section: Introductionmentioning

confidence: 99%

Comparison of Isometric Hand Grip Strength among Computer Operators and Non-Computer Operators

Sultan¹,

Babar²,

Mukhtar³

et al. 2023

PJMHS

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Background: Most frequently self-reported work-related illness are due to musculoskeletal disorders. Highly repetitive tasks with grasping of the hands, repetitive flexing of the wrist, vibrations and localized mechanical pressure play a role in development of repeated stress injury. Many computer users complain about wrist fatigue, discomfort or pain after typing. Aim: To assess and compare isometric grip strength of computer operators and non-computer operators. Methods: This study was conducted at the Shalimar Institute of Health Sciences. A sample of 30 computer operators and 30 controls (non-computer operators) were recruited after screening hand ultrasonography. Purposive sampling was used. Isometric grip is measured with a hand-held dynamometer. Subjects were asked to hold the dynamometer with full exertion. Each reading is from a maximum contraction period of three seconds with a 30-second pause. Results: Average Hand Grip Strength of computer operators was 27.71±11.19kg and non-computer users was 37.05±11.09kg. The results were statistically significant with the p-value of 0.002. Practical Implications: Continuous computer use reduces hand grip strength therefore those who are having long term use of computers must go for hand grip strength exercises to maintain normal hand grip strength. Conclusion: Computer operators have less isometric hand grip strength than non-computer operators as it was concluded in this study. MeSH words: Isometric hand grip strength, computer operators, non-computer operator

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Ergonomic assessment of musculoskeletal disorders risk among the computer users by Rapid Upper Limb Assessment method

Cited by 13 publications

References 0 publications

The correlation between smartphone use and musculoskeletal symptom

The correlation between smartphone use and musculoskeletal symptom

Ergonomic Analysis Of Work In Masonry Wall Execution

Comparison of Isometric Hand Grip Strength among Computer Operators and Non-Computer Operators

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