Investigating the relationship between work incidents and musculoskeletal disorders in motorcycle technician workshops: a cross-sectional analysis
Abstract
Workplace hazards and incidents pose significant risks in the automotive industry, necessitating meticulous risk assessment and management. This cross-sectional study was designed to examine the prevalence of work-related injuries and musculoskeletal disorders (MSDs) among motorcycle technicians in workshops situated within Lombok Island, West Nusa Tenggara, Indonesia. A sample of 105 male participants was recruited for the study. Findings revealed that the majority of workers were aged between 20-30 years (67.6%), possessed vocational high school education (61%), were married (55.2%), had 1-10 years of work experience (83.8%), were smokers (58.1%), and abstained from alcohol consumption (83.8%). Workplace incidents predominantly comprised minor injuries (93.3%), with the hands being the most frequently affected body part (65.5%). Additionally, lower back MSDs were prevalent (74.3%) and significantly correlated with workplace incidents. The study concludes that upper extremities were the most commonly affected body part in both incidents and MSDs. These findings emphasize the value of prioritizing workplace safety and implementing preventative strategies to mitigate MSDs in motorcycle workshops, ultimately fostering worker well-being and enhancing workshop productivity.
Keywords
Full Text:
PDFReferences
Abiodun, O. P. (2018). Assessment of the Knowledge, Attitudes and Perception of Potential Occupational Hazards by Automobile Workers in Makurdi, Benue State, Nigeria. American Journal of Health Research, 6(2), 37. https://doi.org/10.11648/j.ajhr.20180602.11
Anita, A. R., Yazdani, A., Hayati, K. S., & Adon, M. Y. (2014). Association between awkward posture and musculoskeletal symptom among automobile assembly line workers in Malaysia. Malaysian Journal of Medicine and Health Sciences, 10(1), 23–28.
Bao, S., Howard, N., & Lin, J.-H. (2020). Are Work-Related Musculoskeletal Disorders Claims Related to Risk Factors in Workplaces of the Manufacturing Industry? Annals of Work Exposures and Health, 64(2), 152–164. https://doi.org/10.1093/annweh/wxz084
Berli, C., Reichardt, E., & Filippi, A. (2022). Survey on the prevalence of occupational injuries to the head and teeth in automotive repair and maintenance in Switzerland. Swiss Dental Journal, 132(5), 334–341. https://doi.org/10.61872/sdj-2022-05-866
BPS-Statistics Indonesia. (2022). Land Transportation Statistics 2022. In BPS-Statistics Indonesia.
Dabbagh, A., MacDermid, J. C., Grewal, R., & Walton, D. M. (2022). The Role of Perceived Job Exertion and Age as Moderators of the Relationship Between Gender and Upper Extremity Musculoskeletal Disability and Pain in Injured Workers. Journal of Occupational Rehabilitation, 32(1), 128–137. https://doi.org/10.1007/s10926-021-09989-0
Directorat of Populaion and Labour Statistics. (2023). Population and Labor Mobility Statistics 2023 (Vol. 7). BPS-Statistics Indonesia.
Driscoll, T., Marsh, S., McNoe, B., Desmond, J., Langley, J., Stout, N., Feyer, A. M., & Wiliamson, A. (2005). Comparison of fatalities from work related motor vehicle traffic incidents in Australia, New Zealand, and the United States. Injury Prevention, 11(5), 294–299. https://doi.org/10.1136/ip.2004.008094
Fifolato, T. M., Nardim, H. C. B., do Carmo Lopes, E. R., Suzuki, K. A. K., da Silva, N. C., de Souza Serenza, F., & Fonseca, M. C. R. (2021). Association between muscle strength, upper extremity fatigue resistance, work ability and upper extremity dysfunction in a sample of workers at a tertiary hospital. BMC Musculoskeletal Disorders, 22(1), 508. https://doi.org/10.1186/s12891-021-04256-y
Gane, E. M., Brakenridge, C. L., Smits, E. J., & Johnston, V. (2018). The impact of musculoskeletal injuries sustained in road traffic crashes on work-related outcomes: a protocol for a systematic review. Systematic Reviews, 7(1), 202. https://doi.org/10.1186/s13643-018-0869-4
Guerin, R. J., Reichard, A. A., Derk, S., Hendricks, K. J., Menger-Ogle, L. M., & Okun, A. H. (2020). Nonfatal Occupational Injuries to Younger Workers — United States, 2012–2018. MMWR. Morbidity and Mortality Weekly Report, 69(35), 1204–1209. https://doi.org/10.15585/mmwr.mm6935a3
Haddar, A., Sellami, I., Hrairi, A., Rmadi, N., Masmoudi, R., Hammami, K., Masmoudi, J., Masmoudi, M. L., & Hajjaji, M. (2022). Anxiety and depression among victims of work-related upper extremity injuries. European Psychiatry, 65(S1), S304–S305. https://doi.org/10.1192/j.eurpsy.2022.777
Hafez, K. A. (2022). Occupational discomfort and injuries among automotive technicians in Jeddah, Saudi Arabia: A cross-sectional study. Work, 73(4), 1203–1216. https://doi.org/10.3233/WOR-210522
Hayashi, R., Fujita, S., Iida, S., Nagai, Y., Shimamori, Y., & Hasegawa, T. (2020). Relationship of patient safety culture with factors influencing working environment such as working hours, the number of night shifts, and the number of days off among healthcare workers in Japan: a cross-sectional study. BMC Health Services Research, 20(1), 310. https://doi.org/10.1186/s12913-020-05114-8
He, C., Hu, Z., Shen, Y., & Wu, C. (2023). Effects of Demographic Characteristics on Safety Climate and Construction Worker Safety Behavior. Sustainability, 15(14), 10985. https://doi.org/10.3390/su151410985
Hellig, T., Mertens, A., Nitsch, V., & Brandl, C. (2021). Investigating Musculoskeletal Injury Risk: A Field Study on the Influence of Typical Assembly Activities on the Physiological Response of Industrial Workers (pp. 768–775). https://doi.org/10.1007/978-3-030-74611-7_105
Johnson, C., & Mashuga, C. V. (2023). Reconsidering autoignition in the context of modern process safety: Literature review and experimental analysis. Journal of Loss Prevention in the Process Industries, 81, 104963. https://doi.org/10.1016/j.jlp.2022.104963
Kambris, M. E. K., Khan, S., & Al Falasi, S. N. (2019). Perceptions of Health and Safety among Workers in the Automotive Repair Industry in Dubai (United Arab Emirates): A Cross-sectional Exploratory Study. Journal of Ecophysiology and Occupational Health, 19(3&4), 126. https://doi.org/10.18311/jeoh/2019/23357
López-Arquillos, A., & Rubio-Romero, J. C. (2016). Analysis of Workplace Accidents in Automotive Repair Workshops in Spain. Safety and Health at Work, 7(3), 231–236. https://doi.org/10.1016/j.shaw.2016.01.004
Ministry of Manpower. (2023). Ketenagakerjaan Dalam Data 2023 (Vol. 1). Pusat Data dan Teknologi Informasi Ketenagakerjaan.
Mohd Fazi, H. B., B Nik Mohamed, N. M. Z., & Bin Basri, A. Q. (2019). Risks assessment at automotive manufacturing company and ergonomic working condition. IOP Conference Series: Materials Science and Engineering, 469, 012106. https://doi.org/10.1088/1757-899X/469/1/012106
Monaco, M. G. L., Uccello, R., Muoio, M., Greco, A., Spada, S., Coggiola, M., Pedata, P., Caputo, F., Chiodini, P., & Miraglia, N. (2019). Work-related upper limb disorders and risk assessment among automobile manufacturing workers: A retrospective cohort analysis. Work, 64(4), 755–761. https://doi.org/10.3233/WOR-193037
Nealon, K. A., Douglas, R. J., Han, E. Y., Kry, S. F., Reed, V. K., Simiele, S. J., & Court, L. E. (2023). Hazard testing to reduce risk in the development of automated planning tools. Journal of Applied Clinical Medical Physics, 24(8). https://doi.org/10.1002/acm2.13995
Nichols, D. S., Audate, M., King, C., Kerekes, D., Chim, H., & Satteson, E. (2021). Pediatric upper extremity firearm injuries: an analysis of demographic factors and recurring mechanisms of injury. World Journal of Pediatrics, 17(5), 527–535. https://doi.org/10.1007/s12519-021-00462-9
Pandithawatta, S., Ahn, S., Rameezdeen, R., Chow, C. W. K., Gorjian, N., & Kim, T. W. (2023). Development of a Knowledge Graph for Automatic Job Hazard Analysis: The Schema. Sensors, 23(8), 3893. https://doi.org/10.3390/s23083893
Saeed-Banadaky, H., Pahlavanhosseini, H., Dehghanizadeh, M., & Mehrparvar, A. (2019). Occupational injuries of upper extremities among workers in industries of Yazd, Iran (2015-2016). Journal of Occupational Health and Epidemiology, 8(2), 76–80. https://doi.org/10.29252/johe.8.2.76
Shier, M. L., Turpin, A., Nicholas, D. B., & Graham, J. R. (2019). Dynamics of a culture of workplace safety in human service organizations: A qualitative analysis. International Social Work, 62(6), 1561–1574. https://doi.org/10.1177/0020872819858744
Sirzai, H., & Dundar, E. A. (2022). A cross-sectional study determining the prevalence of musculoskeletal diseases in automotive factory workers. Journal of Surgery and Medicine, 6(10), 868–872. https://doi.org/10.28982/josam.1050531
Tafere, G. A., Beyera, G. K., & Wami, S. D. (2020). The effect of organizational and individual factors on health and safety practices: results from a cross-sectional study among manufacturing industrial workers. Journal of Public Health, 28(2), 173–179. https://doi.org/10.1007/s10389-019-01050-y
Tang, P., & Sun, G. (2021). Research progress in chemical and biological protective materials with integrated conventional “decontamination-and-sensing” functions. Materials Science and Engineering: R: Reports, 145, 100626. https://doi.org/10.1016/j.mser.2021.100626
Tasdelen, A., & Özpinar, A. M. (2023). A Dynamic Risk Analysis Model Based on Workplace Ergonomics and Demographic-Cognitive Characteristics of Workers. Sustainability, 15(5), 4553. https://doi.org/10.3390/su15054553
Tilley, P. M., Mulla, D. M., & Keir, P. J. (2023). Effects of sex and age on work-related upper extremity musculoskeletal disorders in Ontario, Canada. Work, 75(3), 1009–1020. https://doi.org/10.3233/WOR-220175
Tolera, S. T., Diriba, W., Gutema, G. D., & Kaweti, G. (2023). Determinants of Occupational Health and Safety Outcomes Among Sanitation Workers Across Worldwide: A Systematic Review on Cross-Sectional Studies. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 60. https://doi.org/10.1177/00469580231210525
Valeeva, E. T., Galimova, R. R., Distanova, A. A., Suleymanova, I. F., Galiullina, D. M., Boyarinova, N. B., Salavatova, L. K., & Isaeva, S. M. (2023). Work environment of the automotive industry as a risk factor of diseases of the circulatory system among workers. Health Risk Analysis, 95–103. https://doi.org/10.21668/health.risk/2023.2.09.eng
von Schroeder, H. P., Xue, C. (R), Yak, A., & Gandhi, R. (2020). Factors associated with unsuccessful return-to-work following work-related upper extremity injury. Occupational Medicine, 70(6), 434–438. https://doi.org/10.1093/occmed/kqaa106
Wawersik, D. M., Boutin, E. R., Gore, T., & Palaganas, J. C. (2023). Individual Characteristics That Promote or Prevent Psychological Safety and Error Reporting in Healthcare: A Systematic Review. Journal of Healthcare Leadership, Volume 15, 59–70. https://doi.org/10.2147/JHL.S369242
Zhang, H., Deng, H., Jia, N., Chen, F., Li, X., Cao, L., Wang, Z., Liang, J., Wang, R., & Liu, J. (2023). Epidemiological study of work-related musculoskeletal disorders and related risk factors among automobile maintenance workers. Work, 76(3), 1219–1231. https://doi.org/10.3233/WOR-220412
DOI: http://dx.doi.org/10.22441/oe.2025.v17.i3.150
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Operations Excellence: Journal of Applied Industrial Engineering

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal ISSN:
| Print ISSN: 2085-4293 | |
| Online ISSN: 2654-5799 |
Tim Editorial Office
Operations Excellence: Journal of Applied Industrial Engineering
Magister Teknik Industri Universitas Mercu Buana
Jl. Raya Meruya Selatan No. 1 Kembangan Jakarta Barat
Email: [[email protected]]
Website: http://publikasi.mercubuana.ac.id/index.php/oe
Journal DOI: 10.22441/oe
The Journal is Indexed and Journal List Title by:

Operations Excellence: Journal of Applied Industrial Engineering is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.





