Occupational Traffic Accidents among Teachers in Spain
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection
2.2. Statistical Analysis
3. Results and Discussion
3.1. Gender
3.2. Type of Contract
3.3. Risk Assessment
3.4. Nationality
3.5. Age
3.6. Vehicle
4. Conclusions
4.1. Limitation of the Study
4.2. Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
- Centers for Disease Control and Prevention. Road Traffic Injuries and Deaths—A Global Problem; CDC: Atlanta, GA, USA, 2019.
- World Health Organization. Global Status Report on Road Safety 2018: Summary; Technical Report; World Health Organization: Geneva, Switzerland, 2018; Available online: https://www.who.int/publications/i/item/9789241565684 (accessed on 31 January 2022).
- Chen, S.; Kuhn, M.; Prettner, K.; Bloom, D.E. The global macroeconomic burden of road injuries: Estimates and projections for 166 countries. Lancet Planet Health 2019, 3, e390–e398. [Google Scholar] [CrossRef]
- Briz-Redón, Á.; Martínez-Ruiz, F.; Montes, F. Identification of differential risk hotspots for collision and vehicle type in a directed linear network. Accid. Anal. Prev. 2019, 132, 105278. [Google Scholar] [CrossRef]
- Molan, A.M.; Rezapour, M.; Ksaibati, K. Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier. J. Traffic Transp. Eng. 2020, 7, 125–136. [Google Scholar]
- Ernstberger, A.; Joeris, A.; Daigl, M.; Kiss, M.; Angerpointner, K.; Nerlich, M.; Schmucker, U. Decrease of morbidity in road traffic accidents in a high income country–an analysis of 24,405 accidents in a 21 year period. Injury 2015, 46, S135–S143. [Google Scholar] [CrossRef]
- Fort, E.; Chiron, M.; Davezies, P.; Bergeret, A.; Charbotel, B. Driving behaviors and on-duty road accidents: A French case-control study. Traffic Inj. Prev. 2013, 14, 353–359. [Google Scholar] [CrossRef] [PubMed]
- Bucsuházy, K.; Matuchová, E.; Zvala, R.; Moravcová, P.; Kostíková, M.; Mikulec, R. Human factors contributing to the road traffic accident occurrence. Transp. Res. Procedia 2020, 45, 555–561. [Google Scholar] [CrossRef]
- Tsubota, T.; Fernando, C.; Yoshii, T.; Shirayanagi, H. Effect of road pavement types and ages on traffic accident risks. Transp. Res. Procedia 2018, 34, 211–218. [Google Scholar] [CrossRef]
- Chang, F.; Xu, P.; Zhou, H.; Lee, J.; Huang, H. Identifying motorcycle high-risk traffic scenarios through interactive analysis of driver behavior and traffic characteristics. Transp. Res. Part F Traffic Psychol. Behav. 2019, 62, 844–854. [Google Scholar] [CrossRef]
- Kaçan, B.; Fındık, G.; Üzümcüoğlu, Y.; Azık, D.; Solmazer, G.; Ersan, Ö.; Özkan, T.; Lajunen, T.; Öz, B.; Pashkevich, A.; et al. Driver profiles based on values and traffic safety climate and their relationships with driver behaviors. Transp. Res. Part F Traffic Psychol. Behav. 2019, 64, 246–259. [Google Scholar] [CrossRef]
- Llamazares, J.; Useche, S.A.; Montoro, L.; Alonso, F. Commuting accidents of Spanish professional drivers: When occupational risk exceeds the workplace. Int. J. Occup. Saf. Ergon. 2021, 27, 754–762. [Google Scholar] [CrossRef] [PubMed]
- Jacinto, C.; Aspinwall, E. A survey on occupational accidents’ reporting and registration systems in the European Union. Saf. Sci. 2004, 42, 933–960. [Google Scholar] [CrossRef]
- Boufous, S.; Williamson, A. Factors affecting the severity of work related traffic crashes in drivers receiving a worker’s compensation claim. Accid. Anal. Prev. 2009, 41, 467–473. [Google Scholar] [CrossRef]
- Fort, E.; Pourcel, L.; Davezies, P.; Renaux, C.; Chiron, M.; Charbotel, B. Road accidents, an occupational risk. Saf. Sci. 2010, 48, 1412–1420. [Google Scholar] [CrossRef]
- Motor Vehicle Crash Facts|NIOSH|CDC. Available online: https://www.cdc.gov/niosh/motorvehicle/default.html (accessed on 31 January 2022).
- Census of Fatal Occupational Injuries (CFOI)-Current and Revised Data. Available online: https://www.bls.gov/iif/oshcfoi1.htm (accessed on 31 January 2022).
- Merchán, M.D.C.R.; López-Arquillos, A. Injury analysis of teachers’ occupational accidents. Work 2021, 71, 215–222. [Google Scholar] [CrossRef] [PubMed]
- Erick, P.N.; Smith, D.R. A systematic review of musculoskeletal disorders among school teachers. BMC Musculoskelet. Disord. 2011, 12, 260. [Google Scholar] [CrossRef] [Green Version]
- Chaiklieng, S.; Suggaravetsiri, P. Risk factors for repetitive strain injuries among school teachers in Thailand. Work 2012, 41, 2510–2515. [Google Scholar] [CrossRef] [Green Version]
- Carmen-Rey Merchán, M.D.; López-Arquillos, A. Gender differences in teachers’ occupational accidents. Health Care Women Int. 2021, 1–11. [Google Scholar] [CrossRef]
- Wu, B.; Varner, K.; Dahm, M.M.; Reutman, S.; Davis, K.G. Work-related injuries within a large urban public school system in the Mid-Western United States. Work 2019, 62, 373–382. [Google Scholar] [CrossRef]
- De Souza, J.M.; Pinto, R.Z.; Tebar, W.R.; Gil, F.; Delfino, L.D.; Morelhão, P.K.; Da Silva, C.; Oliveira, C.; Christofaro, D.G. Association of musculoskeletal pain with poor sleep quality in public school teachers. Work 2020, 65, 599–606. [Google Scholar] [CrossRef]
- López-Arquillos, A.; Rubio-Romero, J.C.; Gibb, A. Accident data study of concrete construction companies’ similarities and differences between qualified and non-qualified workers in Spain. Int. J. Occup. Saf. Ergon. 2015, 21, 486–492. [Google Scholar] [CrossRef] [PubMed]
- Camino López, M.A.; Gonzalez Alcantara, O.J.; Fontaneda, I. Gender differences in commuting injuries in Spain and their impact on injury prevention. BioMed Res. Int. 2017, 2017, 3834827. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Schiaffino, A.; Rodríguez, M.; Pasarín, M.; Regidor, E.; Borrell, C.; Fernández, E. ¿ Odds ratio o razón de proporciones?: Su utilización en estudios transversales. Gac. Sanit. 2003, 17, 51. [Google Scholar] [CrossRef]
- McHugh, M.L. The odds ratio: Calculation, usage, and interpretation. Biochem. Med. 2009, 19, 120–126. [Google Scholar] [CrossRef]
- Martin, J.L.; Lafont, S.; Chiron, M.; Gadegbeku, B.; Laumon, B. Differences between males and females in traffic accident risk in France. Rev. D’epidemiologie Sante Publique 2004, 52, 357–367. [Google Scholar] [CrossRef]
- Ram, T.; Chand, K. Effect of drivers’ risk perception and perception of driving tasks on road safety attitude. Transp. Res. Part F Traffic Psychol. Behav. 2016, 42, 162–176. [Google Scholar] [CrossRef]
- Ivers, R.; Senserrick, T.; Boufous, S.; Stevenson, M.; Chen, H.Y.; Woodward, M.; Norton, R. Novice drivers’ risky driving behavior, risk perception, and crash risk: Findings from the DRIVE study. Am. J. Public Health 2009, 99, 1638–1644. [Google Scholar] [CrossRef]
- AlKheder, S.; AlRukaibi, F.; Aiash, A. Risk analysis of traffic accidents’ severities: An application of three data mining models. ISA Trans. 2020, 106, 213–220. [Google Scholar] [CrossRef]
- Fernandes, R.; Hatfield, J.; Job, R.S. A systematic investigation of the differential predictors for speeding, drink-driving, driving while fatigued, and not wearing a seat belt, among young drivers. Transp. Res. Part F Traffic Psychol. Behav. 2010, 13, 179–196. [Google Scholar] [CrossRef]
- Constantinou, E.; Panayiotou, G.; Konstantinou, N.; Loutsiou-Ladd, A.; Kapardis, A. Risky and aggressive driving in young adults: Personality matters. Accid. Anal. Prev. 2011, 43, 1323–1331. [Google Scholar] [CrossRef]
- Rhodes, N.; Pivik, K. Age and gender differences in risky driving: The roles of positive affect and risk perception. Accid. Anal. Prev. 2011, 43, 923–931. [Google Scholar] [CrossRef]
- López Arquillos, A.; Rubio Romero, J.C.; Gibb, A. Analysis of construction accidents in Spain, 2003–2008. J. Saf. Res. 2012, 43, 381–388. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rey-Merchán, M.D.C.; López-Arquillos, A. Organizational and personal factors in occupational traffic injuries at work in Spain. Traffic Inj. Prev. 2021, 22, 519–523. [Google Scholar] [CrossRef] [PubMed]
- Li, Y.; Yamamoto, T.; Zhang, G. Understanding factors associated with misclassification of fatigue-related accidents in police record. J. Saf. Res. 2018, 64, 155–162. [Google Scholar] [CrossRef] [PubMed]
- Song, Y.; Kou, S.; Wang, C. Modeling crash severity by considering risk indicators of driver and roadway: A Bayesian network approach. J. Saf. Res. 2021, 76, 64–72. [Google Scholar] [CrossRef]
- Kong, J.S.; Hyun Kim, O.; Youk, H.; Young Lee, H.; Young Kang, C.; Sung, S.; Yun Jang, J.; Yoon, T.W.; Hyun Lee, K. Analysis of injury mechanism of the elderly and non-elderly groups in minor motor vehicle accidents. Traffic Inj. Prev. 2018, 19, S151–S153. [Google Scholar] [CrossRef]
- Zuwairy, M.S.; Harith, A.A.; Nobuyaki, H.; Naim, N.M.; Yon, R. Road Traffic Accidents: A Descriptive Study of Commuting Injury among Healthcare Workers in Malaysia 2014–2016. Int. J. Public Health Clin. Sci. 2020, 7, 58–71. [Google Scholar]
- Eun, S.J. Trends in mortality from road traffic injuries in South Korea, 1983–2017: Joinpoint regression and age-period-cohort analyses. Accid. Anal. Prev. 2020, 134, 105325. [Google Scholar] [CrossRef]
- Alias, A.N.; Karuppiah, K.; How, V.; Perumal, V. Prevalence of musculoskeletal disorders (MSDS) among primary school female teachers in Terengganu, Malaysia. Int. J. Ind. Ergon. 2020, 77, 102957. [Google Scholar] [CrossRef]
- Ojukwu, C.P.; Anyanwu, G.E.; Eze, B.; Chukwu, S.C.; Onuchukwu, C.L.; Anekwu, E.M. Prevalence, pattern and correlates of work-related musculoskeletal disorders among school teachers in Enugu, Nigeria. Int. J. Occup. Saf. Ergon. 2018, 27, 267–277. [Google Scholar] [CrossRef]
- Casado-Sanz, N.; Guirao, B.; Attard, M. Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: The driver’s perspective. Sustainability 2020, 12, 2237. [Google Scholar] [CrossRef] [Green Version]
- Almeida, R.L.F.d.; Bezerra Filho, J.G.; Braga, J.U.; Magalhães, F.B.; Macedo, M.C.M.; Silva, K.A. Man, road and vehicle: Risk factors associated with the severity of traffic accidents. Rev. Saude Publica 2013, 47, 718–731. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yang, B.M.; Kim, J. Road traffic accidents and policy interventions in Korea. Inj. Control. Saf. Promot. 2003, 10, 89–94. [Google Scholar] [CrossRef] [PubMed]
- Alonso, F.; Esteban, C.; Useche, S.; Colomer, N. Effect of road safety education on road risky behaviors of Spanish children and adolescents: Findings from a national study. Int. J. Environ. Res. Public Health 2018, 15, 2828. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Alonso, F.; Useche, S.A.; Valle, E.; Esteban, C.; Gene-Morales, J. Could Road Safety Education (RSE) help parents protect children? Examining their driving crashes with children on board. Int. J. Environ. Res. Public Health 2021, 18, 3611. [Google Scholar] [CrossRef]
- Riaz, M.S.; Cuenen, A.; Dhondt, S.; Craps, H.; Janssens, D.; Wets, G.; Brijs, T.; Brijs, K. Evaluation of a road safety education program based on driving under influence and traffic risks for higher secondary school students in Belgium. Safety 2019, 5, 34. [Google Scholar] [CrossRef] [Green Version]
- Bastos, J.T.; Dos Santos, P.A.B.; Amancio, E.C.; Gadda, T.M.C.; Ramalho, J.A.; King, M.J.; Oviedo-Trespalacios, O. Is organized carpooling safer? Speeding and distracted driving behaviors from a naturalistic driving study in Brazil. Accid. Anal. Prev. 2021, 152, 105992. [Google Scholar] [CrossRef]
- Sánchez-Mangas, R.; García-Ferrrer, A.; De Juan, A.; Arroyo, A.M. The probability of death in road traffic accidents. How important is a quick medical response? Accid. Anal. Prev. 2010, 42, 1048–1056. [Google Scholar] [CrossRef]
- Touahmia, M. Identification of risk factors influencing road traffic accidents. Eng. Technol. Appl. Sci. Res. 2018, 8, 2417–2421. [Google Scholar] [CrossRef]
Odds Ratio | Light | IC | Serious | IC | V. Serious | IC | Fatal | IC |
---|---|---|---|---|---|---|---|---|
Men | 0.36 | 0.2–0.4 | 2.79 | 2.1–3.5 | 1.56 | 0.6–4.0 | 3.13 | 1.4–6.9 |
Women | 1 | 1 | 1 | 1 | ||||
Permanent | 1.07 | 0.8–1.3 | 0.94 | 0.7–1.1 | 1.36 | 0.5–3.5 | 0.58 | 0.2–1.2 |
Temporary | 1 | 1 | 1 | 1 | ||||
Risk Assessment | 0.69 | 0.5–0.8 | 1.5 | 0.9–1.9 | 1.95 | 0.6–5.4 | 0.69 | 0.3–1.5 |
No Risk Assessment | 1 | 1 | 1 | 1 | ||||
Spanish | 1.7 | 1.1–2.8 | 0.53 | 0.3–0.9 | 0.99 | 0.9–1.0 | 0.75 | 0.1–5.6 |
Foreign | 1 | 1 | 1 | 1 | ||||
older than 55 | 0.65 | 0.4–0.9 | 1.73 | 1.1–2.5 | 0.88 | 0.1–6.6 | 1 | 1.0–1.0 |
younger than 55 | 1 | 1 | 1 | 1 | ||||
Car | 1.95 | 1.5–2.4 | 0.48 | 0.3–0.6 | 0.5 | 0.1–1.2 | 0.89 | 0.3–2.0 |
Other | 1 | 1 | 1 | 1 | ||||
Motorbike | 0.44 | 0.3–0.6 | 2.39 | 1.7–3.3 | 2.75 | 0.7–9.5 | 0.57 | 0.7–4.2 |
Other | 1 | 1 | 1 | 1 | ||||
Bus | 0.65 | 0.2–1.4 | 1.46 | 0.6–3.5 | 4.61 | 0.6–34.8 | 1 | 1.0–1.0 |
Other | 1 | 1 | 1 | 1 |
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Delgado-Fernández, V.J.; Rey-Merchán, M.d.C.; López-Arquillos, A.; Choi, S.D. Occupational Traffic Accidents among Teachers in Spain. Int. J. Environ. Res. Public Health 2022, 19, 5175. https://doi.org/10.3390/ijerph19095175
Delgado-Fernández VJ, Rey-Merchán MdC, López-Arquillos A, Choi SD. Occupational Traffic Accidents among Teachers in Spain. International Journal of Environmental Research and Public Health. 2022; 19(9):5175. https://doi.org/10.3390/ijerph19095175
Chicago/Turabian StyleDelgado-Fernández, Vicente Joaquín, María del Carmen Rey-Merchán, Antonio López-Arquillos, and Sang D. Choi. 2022. "Occupational Traffic Accidents among Teachers in Spain" International Journal of Environmental Research and Public Health 19, no. 9: 5175. https://doi.org/10.3390/ijerph19095175
APA StyleDelgado-Fernández, V. J., Rey-Merchán, M. d. C., López-Arquillos, A., & Choi, S. D. (2022). Occupational Traffic Accidents among Teachers in Spain. International Journal of Environmental Research and Public Health, 19(9), 5175. https://doi.org/10.3390/ijerph19095175