Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 10, Issue 4 (Autumn 2021)
J Occup Health Epidemiol 2021, 10(4): 258-265 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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) :258-265
URL: http://johe.rums.ac.ir/article-1-496-en.html
URL: http://johe.rums.ac.ir/article-1-496-en.html
Related article in
Google Scholar
Google Scholar
Similar articles
1- PhD Student in Occupational Health, Dept. of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran; Faculty Member of Health School, North Khorasan University of Medical Sciences, Bojnurd, Iran.
2- MSc in Occupational Health, Dept. of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran.
3- PhD Student in Occupational Health, Dept. of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran.
4- Associate Professor, Dept. of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran. , alikarimi57@gmail.com
2- MSc in Occupational Health, Dept. of Occupational Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran.
3- PhD Student in Occupational Health, Dept. of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran.
4- Associate Professor, Dept. of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran. , alikarimi57@gmail.com
Article history
Received: 2021/11/16
Accepted: 2021/12/14
ePublished: 2022/02/26
Accepted: 2021/12/14
ePublished: 2022/02/26
Subject:
Occupational Health
Abstract: (1466 Views)
Background: Road accidents, as the main causes of mortality and disability in the world, have been seriously endangering human health. Human factors are among the most significant causes of road accidents. This study aimed to investigate the association between high-risk behaviors among truck drivers with their fatigue and drowsiness in the occurrence of road accidents and near miss accidents.
Materials and Methods: This descriptive study was conducted recruiting 200 truck drivers in Tehran using two-stage cluster sampling method, in 2019. A standard driver safety questionnaire was used to collect data, with its reliability measured by the test-retest method. The Fisher's test, a chi-squared test, and the Pearson’s correlation were used to analyze the data.
Results: The mean age of the drivers and the mean hour of driving were 47.5 ± 9.05 years and 10.66 ± 2.52 hours, respectively. In addition, the number of accidents had a significant association with the drivers' age, drowsiness, talking on the cell phone, texting, eating snacks, and driving hours. However, it had no significant relationship with drinking tea and smoking. Furthermore, the rate of road accidents had a significant correlation with the drivers' driving time and rest hours.
Conclusion: Behaviors and factors, such as talking on the cell phone, texting, eating snacks, long hours of driving per day, long hours of nonstop driving, low rest hours, and drowsiness were among the major causes of accidents among trucks drivers. In this regard, authorities are recommended to run educational courses to modify high-risk driving behaviors so as to reduce road accidents.
Keywords: Road Accidents [MeSH], Behavior [MeSH], Fatigue [MeSH], Drowsiness [MeSH], Road Traffic Accident [MeSH]
References
1. 1. Luht-Kallas Kadi. Risk-taking behaviour: relationship with personality and markers of heritability, and an intervention to prevent unintentional injury. Tartu, Estonia: University of Tartu Press; 2020. [Article]
2. 2. Alavi SS, Mohammadi MR, Soori H, Jannatifard F, Mohammadi Kalhori,S. The determining of cognitive-behavioral features of bus and truck drivers during road accidents in 2013-2014. Safe Promot Inj Prev 2015; 3(4):223-32. [Article] [DOI]
3. 3. Haqhdoost AA, Baneshi MR, Zare M. Frequency and Probable Causes of Road Accidents Related to Staff and Faculties of Medical Sciences in Kerman University during 2012-2013. J Rafsanjan Univ Med Sci 2014; 13(5):445-56. [Article]
4. 4. Jahangiri M, Karimi A, Eslamizad S. Influence of Blood Biochemistry, Auditory and Musculoskeletal Well-being of Professional Drivers on Road Accidents. Juniper Online J Public Health 2017; 1(5):555572. [DOI]
5. 5. Madadiyan Kamran, Soofi S. Predicting Driving Risky Behaviors Based on driving risk Perception and Irrational Beliefs of Public Vehicles drivers. Sci Q Rahvar 2019; 7(27):165-92.
6. 6. Dashti M, Hokmabadi R. Effect of Drivers' Traffic Behavior on the Occurrence of Accidents in Azarshahr in 2019. J Health Res Community 2021; 6(4):28-39. [Article]
7. 7. Bener A, Verjee M, Dafeeah EE, Yousafzai MT, Mari S, Hassib A, et al. A cross “ethnical” comparison of the Driver Behaviour Questionnaire (DBQ) in an economically fast developing country. Glob J Health Sci 2013; 5(4):165-75. [DOI] [PMID] [PMCID]
8. 8. Serrano-Fernández MJ, Boada-Grau J, Robert-Sentís L, Vigil-Colet A. Predictive variables for sleep quality in professional drivers. Ann Psychol 2021; 37(2):393-402. [DOI]
9. 9. Lin YC, Sun CA, Lin HT, Perng HJ, Chung CH, Lin CS, et al. Increased risk of road traffic injuries in individuals with insomnia. J Transp Health 2021; 21:101030. [DOI]
10. 10. Cori JM, Downey LA, Sletten TL, Beatty CJ, Shiferaw BA, Soleimanloo SS, et al. The impact of 7-hour and 11-hour rest breaks between shifts on heavy vehicle truck drivers’ sleep, alertness and naturalistic driving performance. Accid Anal Prev 2021; 159:106224. [DOI] [PMID]
11. 11. de Cordova PB, Bradford MA, Stone PW. Increased errors and decreased performance at night: A systematic review of the evidence concerning shift work and quality. Work 2016; 53(4):825-34. [DOI] [PMID]
12. 12. Soares S, Monteiro T, Lobo A, Couto A, Cunha L, Ferreira S. Analyzing Driver Drowsiness: From Causes to Effects. Sustainability 2020; 12(5):1971. [DOI]
13. 13. Karimi, Ali, Honarbakhsh M. Dimensions of Occupational Fatigue in Heavy Vehicles Drivers. J Mazandaran Univ Med Sci 2016; 26(140):156-66. [Article]
14. 14. Ashough M, Aghamlaei T, Ghanbarnejad A, Tajour A. Utilizing the theory of planned behavior to prediction the safety driving behaviors in truck drivers in Bandar Abbas 1392. Iran J Health Educ Health Promot 2013; 1(3):5-14. [Article]
15. 15. Garbarino S, Magnavita N, Guglielmi O, Maestri M, Dini G, Bersi FM, et al. Insomnia is associated with road accidents. Further evidence from a study on truck drivers. PLoS One 2017; 12(10):e0187256. [DOI] [PMID] [PMCID]
16. 16. Zhu M, Shen S, Redelmeier DA, Li L, Wei L, Foss R. Bans on Cellphone Use While Driving and Traffic Fatalities in the United States. Epidemiology 2021; 32(5):731-9. [DOI] [PMID] [PMCID]
17. 17. Nasr Esfahani H, Arvin R, Song Z, Sze NN. Prevalence of cell phone use while driving and its impact on driving performance, focusing on near-crash risk: A survey study in Tehran. J Transp Saf Secur 2019; 13(9):957-77. [DOI]
18. 18. Zhu M, Rudisill TM, Rauscher KJ, Davidov DM, Feng J. Risk Perceptions of Cellphone Use While Driving: Results from a Delphi Survey. Int J Environ Res Public Health 2018; 15(6):1074. [DOI] [PMID] [PMCID]
19. 19. Karimi A, Eslamizad S, Mostafaee M, Haghshenas M, Malakoutikhah M. Road Accident Modeling by Fuzzy Logic based on Physical and Mental Health of Drivers. Int J Occup Hyg 2016; 8(4):208-16. [Article]
20. 20. Heidari M, Khoramdel K, Rakhshani T, Shokooh MK. Comparision of the role of human factor in road accidents in different drivers. Sci J Rescue Relief 2012; 4(1):39-46. [Article]
21. 21. Montoro L, Useche S, Alonso F, Cendales B. Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers. Int J Environ Res Public Health 2018; 15(3):497. [DOI] [PMID] [PMCID]
22. 23. Crizzle AM, Bigelow P, Adams D, Gooderham S, Myers AM, Thiffault P. Health and wellness of long-haul truck and bus drivers: A systematic literature review and directions for future research. J Transp Health 2017; 7(Part A):90-109. [DOI]
23. 24. 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(Part A):57-66. [DOI]
24. 25. Mehmandar M, Soori H, Amiri M, Norouzirad R, Khabzkhoob M. Risk factors for fatal and nonfatal road crashes in Iran. Iran Red Crescent Med J 2014; 16(8):e10016. [DOI] [PMID] [PMCID]
25. 26. Alavi SS, Mohammadi MR, Souri H, Mohammadi Kalhori S, Jannatifard F, Sepahbodi G. Personality, Driving Behavior and Mental Disorders Factors as Predictors of Road Traffic Accidents Based on Logistic Regression. Iran J Med Sci 2017; 42(1):24-31. [PMID] [PMCID]
26. 27. Lansdown TC. Individual differences and propensity to engage with in-vehicle distractions–A self-report survey. Transp Res Part F Traffic Psychol Behav 2012; 15(1):1-8. [DOI]
27. 28. Prat F, Gras ME, Planes M, Font-Mayolas S, Sullman MJM. Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction. Transp Res Part F Traffic Psychol Behav 2017; 45:194-207. [DOI]
28. 29. Lipovac K, Đerić M, Tešić M, Andrić Z, Marić B. Mobile phone use while driving-literary review. Transp Res Part F Traffic Psychol Behav 2017; 47:132-42. [DOI]
29. 30. Hill T, Sullman MJM, Stephens AN. Mobile phone involvement, beliefs, and texting while driving in Ukraine. Accid Anal Prev 2019; 125:124-31. [DOI] [PMID]
30. 31. Cazzulino F, Burke RV, Muller V, Arbogast H, Upperman JS. Cell phones and young drivers: a systematic review regarding the association between psychological factors and prevention. Traffic Inj Prev 2014; 15(3):234-42. [DOI] [PMID]
31. 32. Haque MM, Washington S. The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model. Transp Res Part C Emerg Technol 2015; 50:13-27. [DOI]
32. 33. Caird JK, Simmons SM, Wiley K, Johnston KA, Horrey WJ. Does Talking on a Cell Phone, With a Passenger, or Dialing Affect Driving Performance? An Updated Systematic Review and Meta-Analysis of Experimental Studies. Hum Factors 2018; 60(1):101-33. [DOI] [PMID]
33. 34. Li Y, Yamamoto T, Zhang G. The effect of fatigue driving on injury severity considering the endogeneity. J Safety Res 2018; 64:11-9. [DOI] [PMID]
34. 35. Bener A, Yildirim E, Özkan T, Lajunen T. Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study. J Traffic Transp Eng (Engl Ed) 2017; 4(5):496-502. [DOI]
35. 36. Moradi A, Hashemi Nazari SS, Rahmani K. Sleepiness and the risk of road traffic accidents: A systematic review and meta-analysis of previous studies. Transp Res Part F Traffic Psychol Behav 2019; 65:620-9. [DOI]
36. 37. Philip P, Taillard J, Micoulaud-Franchi JA. Sleep Restriction, Sleep Hygiene, and Driving Safety: The Importance of Situational Sleepiness. Sleep Med Clin 2019; 14(4):407-12. [DOI] [PMID]
37. 38. Darwent D, Dawson D, Paterson JL, Roach GD, Ferguson SA. Managing fatigue: It really is about sleep. Accid Anal Prev 2015; 82:20-6. [DOI] [PMID]
38. 39. Vinagre-Ríos J, Pérez-Canosa JM, Iglesias-Baniela S. The effect of circadian rhythms on shipping accidents. J Navig 2021; 74(5):1189-99. [DOI]
39. 40. Godzik C. Sleep disturbances in bereaved older people: a review of the literature. Mental Health Practice 2021; 24(2). doi: 10.7748/mhp.2020.e1492. [DOI]
40. 41. Choudhary P, Velaga NR. A comparative analysis of risk associated with eating, drinking and texting during driving at unsignalised intersections. Transp Res Part F Traffic Psychol Behav 2019; 63:295-308. [DOI]
41. 42. Bąkowski A, Jurecki R, Radziszewski L, Świetlik P. The analysis of the relations between road vehicle traffic parameters and the number of road accidents in subsequent hours of the day-a case study. Paper presented at: The 12th International Science-Technical Conference Automotive Safety; 2020 Oct 21-23; Kielce, Poland. [DOI]
42. 43. Popusoi A. Analysis of the causes that generate traffic accidents. Trans Motauto World 2020; 5(1):17-9. [Article]
43. 44. Ghanadi F, Shakibaie Z. The Investigation of Decreasing Traffic Accidents in Children by Education and Culture. Neurosci J Shefaye Khatam 2015; 3(S3):22-22. [Article]
44. 45. Ennajih D, Elgameh M, Salik A, Echchelh A, Chaouch A. Study of the Influence of Parameters of Road Safety on the Road Accidents. Int J Res Stud Sci Eng Technol 2015; 2(4):22-7.
45. 46. Goniewicz K, Goniewicz M, Pawłowski W, Fiedor P. Road accident rates: strategies and programmes for improving road traffic safety. Eur J Trauma Emerg Surg 2016; 42(4):433-8. [DOI] [PMID]
46. 47. Useche SA, Serge A, Alonso F, Esteban C. Alcohol Consumption, Smoking, Job Stress and Road Safety in Professional Drivers. J Addict Res Ther 2017; 8(2):1000321. [DOI]
47. 48. Saadat S, Sabagh MS, Karbakhsh M. The effect of waterpipe smoking on psychomotor performance required for driving: A quasi-experimental trial. J Transp Health 2018; 9:180-6. [DOI]
48. 49. Taylor AH, Dorn L. Stress, fatigue, health, and risk of road traffic accidents among professional drivers: the contribution of physical inactivity. Annu Rev Public Health 2006; 27:371-91. [DOI] [PMID]
49. 50. Hoque MS, Khondaker B, Hoque MM. Behavioral habits and attitudes of heavy vehicle drivers towards road safety. J Civ Eng 2007; 35(1):29-45. [Article]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
