Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 14, Issue 1 (Winter 2025)
J Occup Health Epidemiol 2025, 14(1): 1-7 |
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Ethics code: IR.TUMS.MEDICINE.REC.1397.491
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Keyvani S, Mehri F, Fasih-Ramandi F, Karimi A. Association between Visual Acuity and Road Accidents among Heavy Vehicle Drivers in Tehran, Iran (2019). J Occup Health Epidemiol 2025; 14 (1) :1-7
URL: http://johe.rums.ac.ir/article-1-874-en.html
URL: http://johe.rums.ac.ir/article-1-874-en.html
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1- Ph.D. Student in Occupational Health Engineering, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
2- M.Sc. in Occupational Health Engineering, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
3- Professor, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. ,a_karimi@tums.ac.ir
2- M.Sc. in Occupational Health Engineering, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
3- Professor, Dept. of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. ,
Article history
Received: 2024/05/14
Accepted: 2024/12/18
ePublished: 2025/04/30
Accepted: 2024/12/18
ePublished: 2025/04/30
Subject:
Epidemiology
Abstract: (219 Views)
Background: Poor vision in drivers may represent an important cause of risk for car accidents. The purpose of this study was to analyze the Association between visual acuity in heavy vehicle drivers and the occurrence of road accidents.
Materials and Methods: This cross-sectional study was carried out on 200 drivers of heavy motor vehicles (trunks) in Tehran province in 2019. Data were gathered using a checklist of demographic and background features, a standardized driver safety questionnaire, and drivers' driving records obtained from occupational health centers. In addition, drivers' visual acuity status was assessed using Snellen chart. Descriptive statistics, Spearman's correlation, and Chi-square were utilized to analyze the data using SPSS version 21 and Microsoft Excel 2016.
Results: Visual acuity scores for the right and left eyes were 9.16 ± 1.04 and 9.20 ± 1.08, respectively. All drivers with no prior experience with crashes on roads had normal vision acuity. The visual acuity scores in both eyes were not related to occurrence of accidents or near miss accidents (P>0.05), while drivers who had higher visual acuity score experienced fewer numbers of near miss accidents and accidents (p<0.001). The most common accidents involved collisions between vehicles (60%), which had negative correlations with the right visual acuity (p<0.001, r = - 0.24) and the left one (p<0.05, r = - 0.21).
Conclusion: There was a high rate of road accidents among the studied heavy vehicle drivers. Also, impaired visual acuity can contribute to high accident and near miss rates among drivers.
Materials and Methods: This cross-sectional study was carried out on 200 drivers of heavy motor vehicles (trunks) in Tehran province in 2019. Data were gathered using a checklist of demographic and background features, a standardized driver safety questionnaire, and drivers' driving records obtained from occupational health centers. In addition, drivers' visual acuity status was assessed using Snellen chart. Descriptive statistics, Spearman's correlation, and Chi-square were utilized to analyze the data using SPSS version 21 and Microsoft Excel 2016.
Results: Visual acuity scores for the right and left eyes were 9.16 ± 1.04 and 9.20 ± 1.08, respectively. All drivers with no prior experience with crashes on roads had normal vision acuity. The visual acuity scores in both eyes were not related to occurrence of accidents or near miss accidents (P>0.05), while drivers who had higher visual acuity score experienced fewer numbers of near miss accidents and accidents (p<0.001). The most common accidents involved collisions between vehicles (60%), which had negative correlations with the right visual acuity (p<0.001, r = - 0.24) and the left one (p<0.05, r = - 0.21).
Conclusion: There was a high rate of road accidents among the studied heavy vehicle drivers. Also, impaired visual acuity can contribute to high accident and near miss rates among drivers.
Keywords: Accident [MeSH], Drivers [MeSH], Motor Vehicles [MeSH], Safety [MeSH], Visual Acuity [MeSH]
References
1. Nguyen-Phuoc DQ, Nguyen HA, De Gruyter C, Su DN, Nguyen VH. Exploring the prevalence and factors associated with self-reported traffic crashes among app-based motorcycle taxis in Vietnam. Transp Policy. 2019;81:68-74. [DOI]
2. World Health Organization. Global status report on road safety 2015. Geneva, Switzerland: World Health Organization; 2015.
3. United Nations. Sustainable Development Goals. New York, United States: United Nations; 2015.
4. Saadat S, Yousefifard M, Asady H, Moghadas Jafari A, Fayaz M, Hosseini M. The most important causes of death in Iranian population; a retrospective cohort study. Emerg (Tehran). 2015;3(1):16-21. [PMID] [PMCID]
5. Naderi H, Nassiri H, Zahedieh F. Predicting the collisions of heavy vehicle drivers in Iran by investigating the effective human factors. J Adv Transp. 2021;2021(1):5532998. [DOI]
6. Rowe R, Roman GD, McKenna FP, Barker E, Poulter D. Measuring errors and violations on the road: A bifactor modeling approach to the Driver Behavior Questionnaire. Accid Anal Prev. 2015;74:118-25. [DOI] [PMID]
7. Useche S, Cendales B, Alonso F, Serge A. Comparing job stress, burnout, health and traffic crashes of urban bus and BRT drivers. Am J Appl Psychol. 2017;5(1):25-32. [URL]
8. Lucidi F, Mallia L, Lazuras L, Violani C. Personality and attitudes as predictors of risky driving among older drivers. Accid Anal Prev. 2014;72:318-24. [DOI] [PMID]
9. Shinar D, Schieber F. Visual requirements for safety and mobility of older drivers. Hum Factors. 1991;33(5):507-19. [DOI] [PMID]
10. Boadi-Kusi SB, Kyei S, Asare FA, Owusu-Ansah A, Awuah A, Darko-Takyi C. Visual function among commercial vehicle drivers in the central region of Ghana. J Optom. 2016;9(1):54-63. [DOI] [PMID] [PMCID]
11. Ghasemi M, Hoseini Yazdi SH, Heravian J, Jafarzadehpur E, Rezaee M. Comparison of visual status of Iranian military and commercial drivers. Iran Red Crescent Med J. 2015;17(4):e19751. [DOI] [PMID] [PMCID]
12. Ojabo CO, Adeniyi OS, Ojo BA. An Assessment of Visual Acuity of Commercial Vehicle Drivers in Makurdi, Benue State, North-Central Nigeria. Curr J Appl Sci Technol. 2020;39(18):61-7. [DOI]
13. Verma A, Chakrabarty N, Velmurugan S, Prithvi Bhat B, Dinesk Kumar HD, Nishanthi B. Assessment of driver vision functions in relation to their crash involvement in India. Curr Sci. 2016;110(6):1063-72. [DOI]
14. Zhang X, Yang Y, Chen Y, Yao H, Wu M, Cui M, et al. Road traffic crashes among farm vehicle drivers in southern China: a cross-sectional survey. Traffic Inj Prev. 2017;18(1):83-7. [DOI] [PMID]
15. Naderi H, Nassiri H, Sahebi S. Assessing the relationship between heavy vehicle driver sleep problems and confirmed driver behavior measurement tools in Iran. Transp Res Part F Traffic Psychol Behav. 2018;59:57-66. [DOI]
16. Colenbrander A, De Laey JJ. Vision requirements for driving safety with emphasis on individual assessment. Paper presented at: The 30th World Ophthalmology Congress; 2006 Feb ; Sao Paulo, Brazil.
17. Oladehinde MK, Adeoye AO, Adegbehingbe BO, Onakoya AO. Visual functions of commercial drivers in relation to road accidents in Nigeria. Indian J Occup Environ Med. 2007;11(2):71-5. [DOI] [PMID] [PMCID]
18. Sharifi A, Sharifi H, Karamouzian M, Daneshtalab E, Daneshtalab A. Visual fitness of public vehicle drivers in Southeast of Iran. Int J Prev Med. 2013;4(6):705-9. [PMID] [PMCID]
19. NAJA Traffic Police Applied Research Office. Criteria for determining the physical and mental health (medical fitness) of applicants for various types of driving licenses. Tehran, Iran: NAJA Traffic Police Applied Research Office; 2012.
20. Hokmabadi R, Mehri F, Fasih Ramandi F, Karimi A. The Role of High-Risk Behaviors, Fatigue, and Drowsiness in the Occurrence of Road Accidents and Near Miss Accidents among Tehran Truck Drivers in 2019. J Occup Health Epidemiol. 2021;10(4):258-65. [DOI]
21. Cox JA, Beanland V, Filtness AJ. Risk and safety perception on urban and rural roads: Effects of environmental features, driver age and risk sensitivity. Traffic Inj Prev. 2017;18(7):703-10. [DOI] [PMID]
22. Institute of Medicine (US) Committee on Data Standards for Patient Safety. Patient Safety: Achieving a New Standard for Care. Aspden P, Corrigan JM, Wolcott J, Erickson SM, editors. Washington (DC): National Academies Press (US); 2004. [DOI] [PMID] [Bookshelf ID]
23. Bekelcho T, Birgoda GT, Leul H, Maile M, Alemayehu M, Olani AB. Near miss road traffic accidents and associated factors among truck drivers in Gamo zone, southern Ethiopia by using a contributory factors interaction model. Front Public Health. 2024;12:1386521. [DOI] [PMID] [PMCID]
24. Vofo BN, Ayuk DA, Pe’er J, Chichom-Mefire A, Tendongfor N, Nche EN. Visual assessment of commercial drivers in the South West Region of Cameroon. BMC Ophthalmol. 2021;21(1):148. [DOI] [PMID] [PMCID]
25. Pepple G, Adio A. Visual function of drivers and its relationship to road traffic accidents in Urban Africa. Springerplus. 2014;3:1-7. [DOI] [PMID] [PMCID]
26. Ahmed M, Patnaik JL, Whitestone N, Hossain MA, Alauddin M, Husain L, et al. Visual impairment and risk of self-reported road traffic crashes among bus drivers in Bangladesh. Asia Pac J Ophthalmol (Phila). 2022;11(1):72-8. [DOI] [PMID]
27. Martínez‐Roda JA, Vilaseca M, Ondategui JC, Aguirre M, Pujol J. Effects of aging on optical quality and visual function. Clin Exp Optom. 2016;99(6):518-25. [DOI] [PMID]
28. Ong SR, Crowston JG, Loprinzi PD, Ramulu PY. Physical activity, visual impairment, and eye disease. Eye (Lond). 2018;32(8):1296-303. [DOI] [PMID] [PMCID]
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