Risk Factor for Musculoskeletal Disorder in Construction Worker: Literature Review
Abstract
Introduction: Musculoskeletal Disorders (MSDS) is a condition involving degenerative health problems or inflammation that occurs in workers, affecting joints, ligaments, muscles, tendons and blood vessels. Sufferers of muscle and skeletal disorders as an occupational disease are the largest number of cases of occupational disease in Europe compared to other diseases in 2017.
Objective: This research aims to identify factors Risk factors for muscle and skeletal disorders in construction workers.
Method: This research uses the method literature study using the PRISMA approach (preferred reporting items for systematic reviews and meta-analyses). When searching for journals that are relevant to the research topic, use a search engine Science Direct and ResearchGate using the keyword "Musculoskeletal Disorder” and” Construction Worker”. A total of 868 journals were identified, but 8 journals met the inclusion and exclusion criteria.
Result: Research instruments used Standard Nordic Musculoskeletal Questionnaire. It was found that construction workers generally experience pain in the legs, followed by pain in the back, head, hips, shoulders and other areas. The pain felt by workers is caused by behavioral factors (lifestyle, smoking behavior), place and work environment factors (work position, vibration and temperature, work experience, workload, wage system), worker psychological factors (level of fatigue after work, Job stress), Individual Factors (BMI, Exercise, Work experience, Age).
Conclusion: Risk factors for muscle and skeletal disorders in construction workers consist of behavioral factors, place and work environment factors, worker psychological factors, and individual factors.
References
Anwer S, Li H, Antwi-Afari MF, Wong AYL. Associations between physical or psychosocial risk factors and work-related musculoskeletal disorders in construction workers based on literature in the last 20 years: A systematic review. Int J Ind Ergon. 2021 May;83:103113. Available at: https://doi.org/10.1016/j.ergon.2021.103113
Murtoja Shaikh A, Bhusan Mandal B, Mangani Mangalavalli S. Causative and risk factors of musculoskeletal disorders among mine workers: A systematic review and meta-analysis. Saf Sci. 2022 Nov;155:105868. Available at: https://doi.org/10.1016/j.ssci.2022.105868
Wang J, Chen D, Zhu M, Sun Y. Risk assessment for musculoskeletal disorders based on the characteristics of work posture. Autom Constr. 2021 Nov;131:103921. Available at: https://doi.org/10.1016/j.autcon.2021.103921
Work EA for S and H at, Kok J, Vroonhof P, Snijders J, Roullis G, Clarke M, et al. Work-related musculoskeletal disorders – Prevalence, costs and demographics in the EU. Publications Office; 2019.
Antwi-Afari MF, Li H, Yu Y, Kong L. Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers. Autom Constr. 2018 Dec;96:433–41. Available at : https://doi.org/10.1016/j.autcon.2018.10.004
Bernardes JM, Gómez-Salgado J, Ruiz-Frutos C, Dias A. Self-reports of musculoskeletal symptoms as predictors of work-related accidents: A hospital-based case-control study. Saf Sci. 2019 Jun;115:103–9. Available at : https://doi.org/10.1016/j.ssci.2019.01.031
Cheng CW, Leu SS, Lin CC, Fan C. Characteristic analysis of occupational accidents at small construction enterprises. Saf Sci. 2010 Jul;48(6):698–707. Available at : https://doi.org/10.1016/j.ssci.2010.02.001
Kisi KP, Kayastha R. Analysis of musculoskeletal pains and productivity impacts among hispanic construction workers. Heliyon. 2024 Jan 15;10(1):e24023. Available at : http://dx.doi.org/10.1016/j.heliyon.2024.e24023
Njaka S, Mohd Yusoff D, Anua SM, Kueh YC, Edeogu CO. Musculoskeletal disorders (MSDs) and their associated factors among quarry workers in Nigeria: A cross-sectional study. Heliyon. 2021 Feb 1;7(2):e06130. Available at : https://doi.org/10.1016/j.heliyon.2021.e06130
Seo J, Lee S. Automated postural ergonomic risk assessment using vision-based posture classification. Autom Constr. 2021 Aug;128:103725. Available at : https://doi.org/10.1016/j.autcon.2021.103725
Lu JM, Twu LJ, Wang MJJ. Risk assessments of work-related musculoskeletal disorders among the TFT-LCD manufacturing operators. Int J Ind Ergon. 2016 Mar;52:40–51. Available at : https://doi.org/10.1016/j.ergon.2015.08.004
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. International Journal of Surgery. 2010;8(5):336–41. Available at :
Jeong S, Lee BH. The moderating effect of work-related musculoskeletal disorders in relation to occupational stress and health-related quality of life of construction workers: a cross-sectional research. BMC Musculoskelet Disord. 2024 Feb 16;25(1):147. Available at : https://doi.org/10.1016/j.ijsu.2010.02.007
Nascimento JMR e. S, Bispo LGM, Silva JMN da. Risk factors for work-related musculoskeletal disorders among workers in Brazil: A structural equation model approach. Int J Ind Ergon. 2024 Jan 1;99:103551. Available at : https://doi.org/10.1080/10803548.2019.1579966
Kashif M, Albalwi A, Raqib A, Farooq M, Ullah R, Sakoor M, et al. Work-related musculoskeletal disorders among Pakistani construction workers: Prevalence, characteristics, and associated risk factors. Work. 2022 May 19;72(1):119–26. Available at : https://doi.org/10.3233/wor-205009
Mandal Majee A, Dutta S. Pulmonary Functions and Work-Related Musculoskeletal Disorders of Road Construction Workers of West Bengal, India. Int J Occup Saf Health. 2022 Jun 27;12(3):185–95. Available at : https://doi.org/10.3126/ijosh.v12i3.40316
Ajslev JZN, Persson R, Andersen LL. Associations between Wage System and Risk Factors for Musculoskeletal Disorders among Construction Workers. Pain Res Treat. 2015 Oct 28;2015:1–11. Available at : https://doi.org/10.1155/2015/513903
Lee YC, Hong X, Man SS. Prevalence and Associated Factors of Work-Related Musculoskeletal Disorders Symptoms among Construction Workers: A Cross-Sectional Study in South China. Int J Environ Res Public Health. 2023 Mar 6;20(5):4653. Available at : https://doi.org/10.3390%2Fijerph20054653
Putra GA, Badruzaman J, Supriadi A. Effect of Training, Job Stress, and Motivation on Work Productivity with Unsafe Actions as An Intervening Variable. Review on Islamic Accounting. 2024 Mar 7;4(1). Available at : https://doi.org/10.58968/ria.v4i1.440
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