RESEARCH ARTICLE


Epidemiological Profile of Injured Motorcyclists in Road Traffic Accident Treated in a Third-Level Hospital



Ana Cecilia Méndez-Magaña1, Berenice Martínez-Melendres2, Melva Guadalupe Herrera-Godina1, *, Maria Guadalupe Laura Baez-Baez1, Alfredo Celis1, Guillermo González-Estevez3
1 Departamento de Salud Pública, Universidad de Guadalajara, Guadalajara, Mexico
2 Departamento de Enfermería para la Atención, Universidad de Guadalajara, Desarrollo y Preservación de la Salud Comunitaria, Guadalajara, Mexico
3 Departamento de Ciencias Sociales, Universidad de Guadalajara, Guadalajara, Mexico


© 2019 Méndez-Magaña et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Salud Publica, Universidad De Guadalajara, Guadalajara, Mexico; Email: melvaherrera@hotmail.com


Abstract

Background

In Mexico, motorcycle use is increasingly prevalent owing to the availability and low fuel consumption of the vehicle. With the increasing number of motorcycle users, the rate of injuries and mortality due to road traffic accidents has also increased.

Objective

The study aimed to describe the epidemiological profile of injured motorcyclists treated in a third-level hospital, who were involved in traffic accidents in Guadalajara's Metropolitan Area and Zapotlanejo municipality.

Methods

We realized a logistic regression model, where we included all variables with p<=0.25, they had three or less response options became in dummy variables for facilitate the analysis and we took as confounders factors either variables that modify up to 10% the value of Odd Ratio.

Results

In our study, we examined 180 injured motorcyclists. The factors that increases risk of severe injury at Metropolitan Zone of Guadalajara and Zapotlanejo’s town were as follows: the motorcycle was not functioning properly prior to the incident (OR 76.89, 2.08-2839.25), the motorcyclist consider had committed any traffic infraction at the time of the event (OR 6.88, 1.30-36.26), the injured live in Metropolitan Zone of Guadalajara (OR 7.58, 1.15-50.17), driving a motorcycle when the driver did not know if the vehicle was “salvage” or not (OR 113.84, 9.13-1419.96) and as protectors factors, we found that a person drove a motorcycle with brand not Italika (OR 0.06, 0.008-0.41) and the road traffic occurred by line road or intersection “+”(OR 0.10, 0.02-0.61).

Conclusion

This information allowed to observe that exist elements of motorcyclist, and the motorcycle and environment that increases or reduced severity injuries in this group, most important when they did not have a health insurance.

Keywords: Epidemiological profile, Motorcyclist, Injuries, Road traffic accidents, Protective devices, Risk factors.



1. INTRODUCTION

In Mexico, over the past decade, there has been a steady increase in both the incidence and mortality rates of road traffic accidents involving motorcyclists [1]. The disproportionate growth in the number of cars does not correlate with the rate of adjustments and urban infrastructure development, nor with the planning and implementation of programs for urban mobility and efficient public transport to allow the safe and satisfactory passage of all road users. Additionally, the perspective of mobility aims toward the use of other less polluting and more economical modes of transportation that can reduce travel times for users and their families. As it has been happening in Jalisco since 2004, when the bikeway and the recreative way were established [2].

The motorcycle-riding three specific features (i.e., the motorcycle itself, the environment, and the rider) that comprise a system, where, if any of these elements experience any failure in performance, a road accident may occur. In Mexico, the mortality rate of motorcycle riders has increased substantially. From 1998 to 2009, the number of traffic accidents involving a motorcycle increased by 337.8% [3]. According to the National Institute of Statistics, Geography, and Informatics (INEGI), the state of Jalisco is no exception since it has the highest number of motorcycles in the country. The National Center of Accident Prevention (CENAPRA) confirmed this statistic and further stated that the state had a 421% increase in the number of motorcycles from 2001 to 2004 [1], and this tendency has continued [4].

Against this background, in 2010, the Mexican Initiative of Road Security (IMESEVI) was established, proposing an intervention to diminish accident mortality by 50%. With this objective, IMESEVI established the application and monitoring of preventive measures for different road users. In the case of motorcyclists, only the security helmet was enforced [5, 6]. However, this preventive measure is not the only one for this group; it is necessary to identify other features of motorcyclists to address the increasing rate of motorcycle accidents.

Therefore, it is important to describe the characteristics of the subject, vehicle, environment, and security equipment characteristics identified in other studies about motorcycle road users. This information can provide an epidemiological characteristics of injured motorcyclists in one of the biggest metropolitan areas in Mexico. The aim of this study was to analyze factors associated to the severity of injury of motorcyclists injured in road traffic accidents treated in a third-level hospital.

2. METHODS

This was a cross-sectional and analytical study on injured motorcyclists in the GMA and Zapotlanejo municipality in Jalisco State, Mexico. Subjects were treated in the “Fray Antonio Alcalde” Civil Hospital of Guadalajara between the period of November 2012 to May 2014. We calculated the sample size on the basis of road traffic accidents reported in 2014 in the Metropolitan Area, accounting for 94,241 road users, of which 2,313 were motorcyclists involved in a traffic accident, thus showing a frequency of 3%. With this data and a confidence interval of 99.99%, we obtained a minimum sample of 176 motorcyclists.

The inclusion criteria were as follows: being a motorcyclist or a passenger of any age or sex injured in a road traffic accident inside GMA or in Zapotlanejo municipality. We included Zapotlanejo municipality in the criteria owing to the number of patients attending this hospital for medical attention and its proximity to the Metropolitan Area. Regarding the inclusion of underage subjects, we explained to them the purpose of the study and asked them if they wanted to participate. If underage subjects accepted, we proceeded to ask the person responsible for the minor for his/her authorization and to sign the consent form to begin data collection.

The exclusion criteria were as follows: motorcyclists injured in sporting events, using a motorcycle of more than two wheels, subjects injured outside the GMA and Zapotlanejo municipality in Jalisco state, motorcyclists with an injury that impeded them answering the questionnaire, not having relatives to answer for them, subjects not willing to participate, or not signing the consent form. Elimination criteria were incomplete questionnaires (on more than 20%) and people’s unwillingness to answering the questions.

We designed the questionnaire after conducting a literature review of risk factors of non-intentional events that occur when a person drives a motorcycle. We included the following data: a) injured patients’ personal data (name, age, sex, home municipality, home state, address and phone or cell phone number, education, previous illness to the accident, occupation); b) motorcyclists’ data (time riding in months or years, days and hours of the week that rides, motorcycle insurance, motorcyclist or driver license); c) data related to road traffic accidents (event description, date, time and weather conditions of the accident, street, intersections, neighborhood and municipality, type of road, object or subject that he/she crashed with, type of accident, site on the road of the accident, riding under the influence of alcohol or drugs, motorcycle lights); d) data regarding personal protective equipment (wearing a helmet, having it fixed, type of helmet, its condition, color, brand, and certification; wearing a reflective vest, jacket, gloves, and boots for motorcycle); e) data of motorcycles (type of motorcycle, brand, model, engine size, registry, and functioning); and f) the severity of the injury, evaluated using the Injury Severity Score (ISS; 2008) [7]. We divided the last section (f) into six anatomical regions: head, face, thorax, abdomen or pelvic contents, extremities or pelvic girdle, and skin. The evaluation of the ISS was done as follows: first, we selected the three regions with the greatest severity; then, each of the region numbers was squared, and finally, added together. Each region was given a score ranging from 1 to 6, where 1 point indicated minor severity and 6 points indicated maximum severity or injury incompatible with life. The scores ranged from 1 to 75 points.

We conducted statistical analysis with descriptive data statistics in proportions and confidence intervals of 95%. For the bivariate analysis, severity was classified into two categories: moderate and severe level. We calculated X2 for variables that had normality and the Fisher's exact test for those variables without the above criterion, considering a p<0.05 value as statistically significant. After that, variables with p<0.25 values were included in the Logistic Regression Model.

3. RESULTS

During this time period, 180 motorcyclists were injured. Of this number, the majority were male (91.7%), with an average age of 26.3 (SD 10.61), residents of GMA (73.9%), and with basic education (72.8%). More than one quarter used to work in the commerce industry as employees or sales agents (27.1%) and only 7.8% of the motorcyclists had a chronic illness illness before to occur the road traffic accident. Table 1).

Table 1. Socio-demographic characteristics of the studied group.
Injury severity score OR (CI 95%) p
>25 points <24 points
Sex Male 45 120 2.43 (0.59-16.42) 0.24
Female 2 13
Home municipality
Outside of Zona Metropolitana de Guadalajara 10 17 1.84 (0.75-4.36) 0.16
Inside of Zona Metropolitana de Guadalajara 37 116
Education
Junior high school or less 32 99 0.76 (0.37-1.59) 0.40
Higher than junior high school 15 34
Occupation*
Professionals and technicians 5 15 3.08 (0.53-25.69) 0.24
Traders, sales employee and sales agents 12 37 3.08 (0.62-15.2) 0.20
Service and security personnel 2 11 1.73 (0.21-14.05) 0.62
Agriculture, livestock, forestry, hunting and fishing activities worker 3 4 7.12 (0.88-57.54) 0.08
Craft workers 7 14 4.75 (0.85-26.43) 0.13
Machine operators, industrial workers, assemblers and professional drivers 10 21 4.52 (0.88-23.32) 0.09
Activities and support workers 6 12 4.75 (0.82-27.49) 0.11
Unemployed and domestic workers 2 19
Previous illness to the road traffic accident
Yes 5 9 1.64 (0.52-5.17) 0.39
No 42 124
*Fisher’s Exact Test

Regarding the specific details of accidents, almost half of the accidents (48.9%) occurred between 18:00 and 23:59 hours and during the night (51.7%). Of this percentile, 22.2% of the subjects believed they infringed the traffic rule, 56.1% had their lights on while riding, and 87.2% of the accidents occurred inside the GMA. The object of collision was a car, pickup, or van (57.2%), and in 40% of the accidents, the motorcyclists experienced a side impact in collector (20.0%) and main roads (19.4%), with cross-intersections (40.6%) being the most common place for traffic accidents. Of these motorcyclists, 26.1% were riding being drunk and 5.6% were on drugs (Table 2).

Table 2. Road traffic accident data according to injury severity score.
Injury Severity Score OR (CI 95%) p
>25 points <24 points
Time of the accident
18:00-05:59 hours 29 85 0.91 (0.46-1.81) 0.79
06:00-17:59 hours 18 48
Weather conditions
Sunny 23 52
At night 20 73 0.18
Other weather condition 4 8 1.13 (0.31-4.13) >0.99
Think they infringed a road rule
Yes 13 27 0.62 (0.31-1.24) 0.19
No 30 104
The municipality of the accident
Guadalajara, Tlaquepaque, Tonalá, Zapopan 36 96
Other municipality 11 37 0.79 (0.37-1.72) 0.56
Collision with object or individual*
Pedestrian or animal 1 2 1.74 (0.15-20.05) 0.54
2 or 3 wheeled motor vehicle 2 5 1.39 (0.25-7.65) 0.65
Car, pickup or van 23 80
Heavy transport vehicle or bus 8 8 3.48 (1.18-10.28) 0.02
Fixed or parked object 3 3 3.48 (0.66-18.4) 0.15
Without collision with another vehicle 10 33 1.05 (0.45-2.46) 0.90
Type of impact**
Front impact 20 35 2.17 (0.98-4.79) 0.053
Side impact 15 57
Rollover 5 27 0.70 (0.23-2.14) 0.53
Rear impact 5 11 1.73 (0.52-5.74) 0.37
Site of the accident ***
Cross-intersection 23 50 2.35 (1.01-5.43) 0.04
Straight track 10 51
Other site 10 30 1.7 (0.63-4.56) 0.29
Road type of the accident ******
Controlled access highways 10 21 2.30 (0.71-7.73) 0.15
Main roads 6 29
Collector roads 8 28 1.38 (0.42-4.49) 0.59
Subcollector roads 6 17 1.71 (0.47-6.14) 0.41
Local roads 11 14 3.80 (1.17-12.38) 0.02
Riding under the influence of alcohol ****
Yes 18 29 2.35 (1.14-4.84) 0.02
No 27 102
Riding under the influence of drugs ****
Yes 3 7 1.27 (0.31-5.12) 0.74
No 42 124
Having lights on *****
No 18 50 1.16 (0.57-2.34) 0.69
Yes 24 77
Fisher’s Exact Test, *2 without date, **5 without date, ***6 without date, ****4 without date, *****11 without date, ******30 without date

Regarding the personal protective equipment of the motorcyclists, 42.2% wore a helmet. Of these, only 86.8% had their helmet fixed and 38.2% had a full-face helmet. A high percentage (91.6%) affirmed that their helmet was in good condition, 30.3% knew they had a certified helmet, and 6.6% knew that the helmet had an expiry date. Regarding other equ- ipment worn that is specifically designed for riding, 6.1% had a jacket, 6.7% wore gloves, and 5.0% wore boots (Table 3).

Table 3. Personal protective equipment according injury severity score.
Injury Severity Score OR (CI 95%) p
>25 points <24 points
Wearing a helmet *
No 30 70 1.61 (0.80-3.23) 0.18
Yes 16 60
Fixed helmet**
No 2 5 1.8 (0.31-10.41) 0.61
Si 12 54
Type of helmet
Full face 5 24
Modular 1 6 0.8 (0.08-8.19) >0.99
3-quarter 4 10 1.92 (0.43-8.67) 0.44
Off-road 2 5 1.92 (0.29-12.86) 0.60
Skull cap 3 12 1.2 (0.25-5.89) >0.99
Bike helmet 0 3 ---- >0.99
Helmet condition
Good condition 15 58
Bad condition 0 2 ---- >0.99
Certified helmet
Yes 1 6
No 2 21 0.57 (0.04-7.44) >0.99
Does not know 13 33 2.36 (0.26-21.59) 0.66
Helmet expiry date
Does not have it 3 13 --- 0.84
Knows it 0 5
Ignores it 13 42 ---- 0.56
Wearing a motorcyclist jacket
No 13 56 0.31 (0.06-1.56) 0.19
Yes 3 4
Wearing motorcyclist gloves
No 13 54 0.49 (0.11-2.66) 0.39
Yes 3 6
Wearing motorcyclist boots
No 14 57 0.37 (0.06-2.42) 0.28
Yes 2 3
Fisher’s Exact Test, *4 without date (n=180), **3 without date (n=76)

The most commonly used type of motorcycles were scooters (36.1%), and street motorcycles (33.3%). Italika (23.9%) and Honda (21.7%) comprised the majority of the brands owned. Most of the riders owned models that were five or fewer years old (42.2%), 53.8% had an engine size of 150cc or less, most of them had license plates (82.2%) and worked correctly (89.4), and 8.3% of these motorcycles were “salvage” (Table 4).

Regarding the motorcycle features, the majority of the riders (83.3%) used the motorcycle for an average of five or more days a week (63.9%), 11.7% had their vehicles insured, 70.6% had motorcyclist license, and 68.3% also had a driver license. Injuries were mainly on the extremities (77.2%) and head (33.3%). Most of these injuries had a minor severity (57.8%) and a quarter of them (26.1%) were severe. The mean score of the ISS was 11.62 (SD 11.06) (Table 5).

Table 4. Motorcycle data according injury severity score.
Type of Motorcycle * Injury Severity Score OR (CI 95%) p
>25 points >25 points
Scooter 12 53
Street motorcycle 19 40 2.10 (0.91-4.82) 0.08
Other motorcycle 13 35 1.64 (0.67-4.0) 0.28
Motorcycle brand**
Honda 12 27 2.15 (0.86-5.40) 0.10
Italika 14 29 2.33 (0.96-5.69) 0.06
Other motorcycle brand 12 58
Motorcycle model ***
>2010 23 53 1.84 (0.83-4.09) 0.13
<2009 12 51
Engine size ****
<150 cc 19 78 1.12 (0.38-3.33) 0.84
>150 cc 5 23
License plate *****
No 8 15 1.79 (0.70-4.58) 0.22
Yes 34 114
Adequate functioning before the accident ******
No 1 12 0.24 (0.03-1.87) 0.19
Yes 42 119
Knows if the motorcycle is “salvage”
Yes 6 9 2.44 (0.80-7.41) 0.11
No 29 106
Ignores it 12 18 2.44 (1.05-5.63) 0.03
Fisher’s Exact Test, *8 without date, **28 without date, ***41 without date, ****55 without date, *****6 without date

Table 5.
Motorcycle data according to critical status (ISS>15).
Subject Injured Severidad de las lesiones OR (CI 95%) p
>15 points <15 points
Motorcycle rider 42 108 1.94 (0.70-5.42) 0.20
Passenger 5 25
Days on the week for using the motorcycle
1 to 4 days 6 22 1.17 (0.34-3.96) 0.80
5 or more days 34 81 1.80 (0.72-4.49) 0.21
No day 7 30
Motorcyclist insurance*
No 34 111 0.41 (0.16-1.05) 0.06
Yes 9 12
Motorcyclist license**
No 9 34 0.71 (0.31-1.63) 0.42
Yes 35 94
Driver license**
No 12 35 0.98 (0.45-2.10) 0.95
Yes 32 91
*14 without date, **10 without date
Table 6. Logistic Regression Model*.
OR CI 95%
Riding under the influence of alcohol 1.42 0.39-5.26
Weather conditions: On night/Sunny 0.28 0.07-1.17
Weather conditions: On night/Other weather condition 2.23 0.29-17.35
Days on the week for using the motorcycle: 5 or more days / 1 to 4 days 0.42 0.08-2.18
Days on the week for using the motorcycle: No day/1 to 4 days 3.66 0.16-85.39
No adequate functioning before the accident 76.89 2.08-2839.25
Think they infringed a road rule 6.88 1.30-36.26
Motorcycle rider 0.09 0.003-2.21
Motorcycle brand: Italika/Honda 0.47 0.08-2.61
Motorcycle brand: Otra marca/Honda 0.06 0.008-0.41
Motorcycle model 0.49 0.11-2.11
License plate 1.76 0.34-9.13
The injured motorcyclist live in Metropolitan Area of Guadalajara 7.58 1.15-50.17
Knows if the motorcycle is “salvage”: Yes/No 6.60 0.41-105.74
Knows if the motorcycle is “salvage”: Ignores it/No 113.84 9.13-1419.96
Motorcyclist insurance 3.80 0.65-22.07
Site of the accident: Straight track/ Cross-intersection 0.10 0.02-0.61
Site of the accident: Other site/ Cross-intersection 0.28 0.06-1.30
*n=117, we eliminate incomplete registers to do the logistic regression model

The risk features associated with severe injury were inadequate functioning before the accident; breaking off the traffic laws by the the motorcyclist and the motorcyclist living in the Metropolitan Area of Guadalajara. The features that reduce the risk were driving a motorcycle different to Honda brand and Straight Street (Table 6).

4. DISCUSSION

Most of the injured motorcyclists in GMA were male (91.7%), which is in accordance with other studies [8-16]. Additionally, riders were local residents and received their education in junior high school studies or were less educated (72.7%). In this respect, the hospital reported treating motorcyclists who had completed junior high school studies (57%) and 14% who did not complete their studies [8]. Berrones [15] reported that only 60.1% of the motorcyclists completed junior high school studies or less. This contrasts with what we found in this study, in which 29.4% of them finished junior high school level and 43.3% did not. One-fifth of the subjects was observed working for trade commerce activities, similar to what was reported in Marilia, Brazil [12].

Regarding the motorcyclists who rode under the influence of alcohol or drugs, we found that 26.1% rode under the influence of alcohol, which is less than what Bahía [9] (49.4%) and Piauí [17] (37.9%) reported in Brazil and greater than what was reported by Berrones [15] in Mexico (6.1%). Drug use in this study was less common (5.6%) than the results found in Zaria, Nigeria [18] (50.3%).

Concerning the time of the accident, in the present study, we found a 51.7% frequency of accidents during night, which is less than what was reported in the District Hospital of Kagundo (85.6%) [19].

Regarding the use of the helmet, in this study, we found this to be 42.2%, which is less than what was reported in Kingston [10] (51.4), Spain [13] (82.8%) and Zhongshan [20] (72.6%); and similar to that of Pelotas, Brazil [14] (40%), and greater than in both Hunan, China [16] (28.7%) and the Australian Capital Territory [21] (34.7%). Overall, in this study, we found that injured motorcyclists were using other personal protective equipment, 6.1% had jackets, 6.7% were found to be wearing gloves, and 5.0% were observed to be wearing boots, in contrast with the findings from the Australian Capital Territory [21] (Jacket (69.7%), Gloves (35.2%) and Boots (32.3%).

Additionally, we found that the majority of motorcycles involved in road traffic accidents were scooters, with an engine size of 150cc or less, and recent models that were legally registered and functioned adequately. This result corresponds to what was reported by the teaching hospital [8]. The type of collision was against a vehicle (66.1%), which is greater than what was reported by the hospital [8] (55.2%) and in Sao Paulo Hospital [11] (45.4%).

The regular use of the motorcycle was five days or more (63.9%), which is similar to what was reported by Chang’s [16] (73.5%) (2016) study in the Hunan province, China.

We found that motorcyclists’ injuries were more prevalent in the extremities (77.2%), as was the case in Bahia [9] (87.65%), Maringa [22] (58.9%), and in the State of Piauí [17] (51.4%) in Brazil, in contrast to what was found in Connecticut [23] (28.6%) and at the Hospital of Clinics [24] (41.7%). The severity of injuries calculated with the ISS had a mean value of 11.62, which is greater than what was reported in Connecticut [23] (9.7) and on the University Hospital of the West Indies [10] (9.0).

In the case of presenting all the factors in the same motorcyclist involved in the traffic event, the risk of being injured with a degree of severity classified as “severe” (ISS> = 25 points) would be 2777 times higher compared to another motorcyclist damaged with a lower degree of severity (ISS <= 24 points). These agree with the General Systems Theory’s postulates [25] and Multicausality [26], where an event is due to the conjunction of various elements, when any of them fails, it causes, as in the case of the present work, a traffic accident where a motorcyclist will be inflicted “severe” injuries (ISS> = 25 points). Furthermore, through the probabilistic model, we can estimate the causal association, which is not possible to determine with only the multicausal model [26].

According to the review of the literature conducted previously, the factors associated with the severity of the lesions and those of protection found in this study do not coincide with what was previously reported, with the exception of the site where the road accident occurred, although the analysis of this factor in other studies was carried out on different timings than in this analysis. That is, according to the three different moments highlighted by William Haddon, in the Haddon’s matrix, a traffic event or other external cause of injury can be analyzed. In that sense, the study carried out by Kim K and Cols [27]. reported the straight track as a risk factor (OR 1.37, 1.15-1.63) in the occurrence of the transit events, on the contrary, Li M and Cols [28]. suggested that the straight track is a factor that reduces the risk (OR 0.917, 0.858-0.981) of dying as a result of a road accident.

Considering the factors associated with the severity of injuries, it is suggested that the motorcycle brand is also a factor that reduces the risk of serious injuries by accidents, this could be explained by the sales rate of these vehicles with respect to the brand. The Italika motorcycle brand is the best-selling in Mexico, followed by Honda and Yamaha [29]. This could explain the result that the use of a motorcycle of the Honda brand or another motorcycle brand except Italika reduces the probability of being severely injured after a traffic event, this is because the population of motorcyclists participating in the study mainly drives two-wheeled motorized vehicles of the Italika brand.

A study conducted in Taiwan [30] found that young adult riders using Sanyan (OR= 1.64, 1.21-2.22) and Yamaha (OR= 1.39, 1.07-1.88) motorcycles had a greater level of severity of injuries that the ones using Kymco motorcycles. Another study in this country [31] including junior college students reported that using Sanyang (RH 0.88, 0.78-0.99) or any other brand (RH 0.66, 0.47-0.93) is safer than Yamaha. On the other side, the persons who break traffic laws have an increased risk (RH 1.54, 1.38-1.72) with respect to others [31].

Among the strengths, this study adds further information, which was not being considered in official registries and other studies, that is important in terms of injury prevention and promoting the personal protective equipment to reduce motorcycle injury severity. This information includes factors such as identifying the helmet features, including its certification and expiry date; if the motorcycle had already been involved in another road traffic accident (as salvage type, which are repaired imported motorcycles that have been crashed); having infringed a road rule; and not having insurance and/or a license. Also, the subjects of our study were characterized by not having social security; hence, they paid for their medical attention.

The limitations of this study are that we interviewed the subjects after the accident, which, as a consequence, could cause amnesia episodes or a lack of awareness as to what happened secondary to trauma, and the relatives of the subjects could have had little or no information about how the accident occurred.

CONCLUSION

In conclusion, due to road traffic accidents, injured motorcyclists are one of the most vulnerable people travelling by road, not only because they often lack the necessary equipment to reduce the risk of having severe injuries, but also because of their predisposing factors. In this study, we explored features that were previously been considered; consequently, it could be useful to analyze other perspectives to reduce morbidity, mortality, and the accident rate among this population.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

The Research And Ethics Teaching Committee Of The Old Civil Hospital Of Guadalajara "Fray Antonio Alcalde" approved the study with Registration no. 068/12.

HUMAN AND ANIMAL RIGHTS

Not applicable.

CONSENT FOR PUBLICATION

Informed consent was obtained from the participants prior to data collection.

AVAILABILITY OF DATA AND MATERIALS

Not applicable.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

Declared none.

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