Self-Reported Musculoskeletal Problem during Stop-Go Driving: The Combined Variables Contribution towards Knee Pain among Car Drivers
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Abstract
Background: Musculoskeletal problems among drivers sourced from severe traffic congestion have become a substantial public health issue. Prominent driving risk exposures were deemed to inflict symptoms such as discomfort and ache among drivers that subsequently contribute to fatigue. This study aimed to investigate the relationship between frequency and period of getting stuck during driving through stop-go motion towards the prevalence of musculoskeletal problems. Moreover, several combined effects of parameters were investigated towards the experience of knee pain among drivers.
Methods: This study adopted a cross-sectional questionnaire survey method. The survey conducted in 2021 was randomly sampled among 18-year-old and above Malaysian drivers with valid driving license and the survey conducted through social media via an online Google form. To analyse the association and outcomes of the survey, Chi-Square and Binary Logistic Regression tests were used respectively.
Results: Overall, 320 drivers were recruited in this study. Data of 180 drivers who frequently stuck during peak hours in congestion was analysed with chi-square test that showed no significant relationship for both the driving exposure variables with the prevalence of knee pain during stop-go motion. Nevertheless, 92 (51.11%) drivers reported commonly experiencing knee pain symptoms from prolonged repetitive driving motion. The total sample of this study tested using regression analysis for combined effects of the parameters showed a significant (P<0.05) correlation of the drivers’ experience of knee pain while driving in heavy traffic.
Conclusion: Generally, there are combined variables that contributed towards the occurrence of knee pain during stop-go driving in this study.
2. Sarker VK, Gia TN, Ben Dhaou I, et al (2020). Smart parking system with dy-namic pricing, edge-cloud computing and lora. Sensors, 20 (17): 4669.
3. Zachau, Ulrich, Shetty, et al (2015). Malaysia Economic Monitor June 2015 Trans-forming Urban Transport. The World Bank. Available from: https://www.worldbank.org/content/dam/Worldbank/document/EAP/malaysia/Malaysia_Economic_Monitor_June_2015.pdf
4. Punnett L, Wegman DH (2004). Work-related musculoskeletal disorders: the epidemiologic evidence and the debate. J Electromyogr Kinesiol, 14 (1): 13-23.
5. Ju YY, Wang CW, Cheng HY (2010). Effects of active fatiguing movement versus passive repetitive movement on knee proprioception. Clin Biomech, 25 (7): 708-712.
6. Kennedy JC, Alexander IJ, Hayes KC (1982). Nerve supply of the human knee and its functional importance. Am J Sports Med, 10 (6): 329-335.
7. Rozzi SL, Lephart SM, Gear WS, et al (1999). Knee joint laxity and neuromus-cular characteristics of male and female soccer and basketball players. Am J Sports Med, 27 (3): 312-319.
8. Chen JC, Dennerlein JT, Shih TS, et al (2004). Knee pain and driving duration: a secondary analysis of the Taxi Driv-ers’ Health Study. Am J Sports Med, 94 (4): 575-581.
9. Abledu JK, Offei EB, Abledu GK (2014). Occupational and personal determi-nants of musculoskeletal disorders among urban taxi drivers in Ghana. Int Sch Res Notices, 2014 (1): 517259.
10. Khamis NK, Md Deros B, Nuawi MZ, et al (2018). Pattern of muscle contraction in car pedal control. J Kejuruteraan, 30 (1): 23-29.
11. Hofmann UK, Jordan M, Rondak I, et al (2014). Osteoarthritis of the knee or hip significantly impairs driving ability (cross-sectional survey). BMC Musculoskel-et Disord, 15: 1-9.
12. Useche SA, Alonso F, Cendales B, et al (2021). More than just “stressful”? Test-ing the mediating role of fatigue on the relationship between job stress and oc-cupational crashes of long-haul truck drivers. Psychol Res Behav Manag, 1211-1221.
13. Alonso F, Esteban C, Useche SA, et al (2016). Prevalence of physical and men-tal fatigue symptoms on Spanish drivers and its incidence on driving safety. Adv Psychol Neurosci, 1 (2): 10-18.
14. Useche S, Serge A, Alonso F (2015). Risky behaviors and stress indicators between novice and experienced drivers. Am J Appl Psychol, 3 (1): 11-14.
15. Crawford JO (2007). The Nordic musculo-skeletal questionnaire. Occup Med, 57 (4): 300-301.
16. Sudman S (1976). Applied sampling. 1st ed. Academic Press Inc, New York.
17. Pallant J (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. 7th ed. Routledge, London, pp.: 378.
18. Robb MJ, Mansfield NJ (2007). Self-reported musculoskeletal problems amongst professional truck drivers. Er-gonomics, 50 (6): 814-827.
19. Van Gelder MM, Bretveld RW, Roeleveld N (2010). Web-based questionnaires: the future in epidemiology?. Am J Epidemiol, 172 (11): 1292-1298.
20. Shafer KJ, Siders WA, Johnson LK, et al (2009). Validity of segmental multiple-frequency bioelectrical impedance anal-ysis to estimate body composition of adults across a range of body mass in-dexes. Nutrition, 25 (1): 25-32.
21. Laflamme EM, Ossenbruggen PJ (2017). Ef-fect of time-of-day and day-of-the-week on congestion duration and breakdown: A case study at a bottleneck in Salem, NH. J Traffic Transp Eng, 4 (1): 31-40.
22. Marion T, Hugh (2017). Stuck in traffic: we need a smarter approach to congestion than building more roads. Grattan Insti-tute, Australia. Available from: https://theconversation.com/stuck-in-traffic-we-need-a-smarter-approach-to-congestion-than-building-more-roads-84774
23. Gyi DE, Porter JM (1998). Musculoskeletal problems and driving in police officers. Occup Med, 48 (3): 153-160.
24. Zhang G, Yau KK, Zhang X, et al (2016). Traffic accidents involving fatigue driv-ing and their extent of casualties. Accid Anal Prev, 87: 34-42.
25. Novak RD, Auvil-Novak SE (1996). Focus group evaluation of night nurse shift-work difficulties and coping strategies. Chronobiol Int, 13 (6): 457-463.
26. Mozafari A, Vahedian M, Mohebi S, et al (2015). Work-related musculoskeletal disorders in truck drivers and official workers. Acta Med Iran, 432-438.
27. Kuijer PP, Van Der Beek AJ, Van Dieën JH, et al (2005). Effect of job rotation on need for recovery, musculoskeletal complaints, and sick leave due to muscu-loskeletal complaints: a prospective study among refuse collectors. Am J Ind Med, 47 (5): 394-402.
28. Torén A, Öberg K, Lembke B, et al (2002). Tractor-driving hours and their relation to self-reported low-back and hip symp-toms. Appl Ergon, 33 (2): 139-146.
29. Szeto GP, Lam P (2007). Work-related mus-culoskeletal disorders in urban bus driv-ers of Hong Kong. J Occup Rehabil, 17: 181-198.
30. Peeler J, Christian M, Cooper J, et al (2015). Managing knee osteoarthritis: the effects of body weight supported physical activ-ity on joint pain, function, and thigh muscle strength. Clin J Sport Med, 25 (6): 518-523.
31. Kaur R, Sharma VL, Singh A (2015). Preva-lence of knee osteoarthritis and its cor-relation in women of rural and urban parts of Hoshiarpur (Punjab). J Postgrad Med Educ Res, 49 (1): 32-36.
32. Akinpelu AO, Oyewole OO, Odole AC, et al (2011). Prevalence of musculoskeletal pain and health seeking behaviour among occupational drivers in Ibadan, Nigeria. Afr J Biomed Res, 14(2): 89-94.
33. Karali S, Gyi DE, Mansfield NJ (2017). Driving a better driving experience: a questionnaire survey of older compared with younger drivers. Ergonomics, 60 (4): 533-540.
| Files | ||
| Issue | Vol 54 No 7 (2025) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v54i7.19154 | |
| Keywords | ||
| Musculoskeletal pain Fatigue Knee pain Driving | ||
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