Motorcycle accidents in Belo Horizonte and its Metropolitan Region: linear mortality trend from 2000 to 2012

 

Maria Alice Souza Vieira1, Alexandra Dias Moreira1, Lenice de Castro Mendes Villela1, Gustavo Velasquez-Melendez1,Fernanda Penido Matozinhos1

 

1 Federal University of Minas Gerais

 

 

ABSTRACT

Objective: To describe the profile and evolution of the mortality rate due to motorcycle accidents in Belo Horizonte and its Metropolitan Region, from 2000 to 2012. Methods: A time series study with data extracted from the Mortality Information System (Sistema de Informações sobre Mortalidade, SIM) and from the IBGE. A linear regression model was used, with a 5% significance level. Results: From 2000 to 2012 there was a 278% increase in the number of deaths. The population most affected was that of male individuals, aged 20 to 29 years old, of black/brown skin, without partners, and with 8 to 11 years of schooling. The mortality rate increased from 1.7 to 3.58 deaths/100,000 inhabitants, with an increasing trend (β=0.25 per year; p<0.01). Discussion: There was an increase in the mortality rate due to motorcycle accidents. The results of this study can contribute to the formulation of actions that prioritize the prevention of accidents in the public at greatest risk.

Keywords: Traffic accidents; Motorcycles; Mortality; Epidemiology.

 

 

 

 

INTRODUCTION

 

Land Transportation Accidents (LDAs) are defined by the International Classification of Diseases as injuries related to the traffic of vehicles and people on public roads¹. In the last decades, LDAs have been gaining increasing importance in Brazil and worldwide, becoming an important public health problem, especially due to morbidity and mortality and to social and economic costs².

According to data from the World Health Organization (WHO), in 2018 LDAs were the eighth leading cause of mortality in the world and the first among children and young adults aged 5 to 29³. In Brazil, according to data from the Global Burden of Disease, in 1990 LDAs were the fifth leading cause of death, rising to the third place in 20164. In addition, according to a Research Report published by the Institute for Applied Economic Research (Instituto de Pesquisa Econômica Aplicada, IPEA), in 2014 the spending on traffic accidents was approximately 10 billion reais5.

In this scenario, motorcycles occupied the urban space as an alternative for fluidity in traffic, due to the increase in the car fleet, and the replacement of the inefficiency of public transportation, in addition to being a new possibility in the tele-delivery market. In addition, the ease of purchasing a motorcycle has contributed to the five-time growth of its fleet when compared to the car fleet. It should be noted, however, that this growth was not accompanied by an improvement in road infrastructure or by effective changes in the Brazilian legislation, leading to an increase in serious accidents and in deaths related to these vehicles6.

According to a literature review, from 1996 to 2009 there was an exponential increase in the mortality rate due to motorcycle accidents in Brazil, varying from 0.5% to 4.5%, that is, an increase of 800% in the analyzed period, representing a mean increase of 19% per year, with young men being the main fatal victims7.

In view of the relevance of this scenario, in 2009 the United Nations (UN) declared the Decade of Action for Road Safety in the period from 2011 to 2020, covering more than 110 countries, including Brazil. The goal is to reduce the current levels of mortality and injuries due to traffic accidents through actions based on strengthening management, improving road infrastructure, pre-hospital and hospital care for the injured, and vehicle and user safety8. In Brazil, a national action plan (the “Life in Traffic” Project) was created, implemented in 2010, and coordinated by the Ministry of Health with a view to this reduction. Belo Horizonte/Minas Gerais (MG) was one of the capitals chosen to develop the project, representing the Southeast region9.

The state of MG has followed the Brazilian pattern of growth in the mortality rate due to motorcycle accidents and, from 2004 to 2013, the percentage variation of this rate was 114%10. One of the justifications for this variation can be explained by the National Traffic Department (Departamento Nacional de Trânsito, DENATRAN), where it was demonstrated that, between 2000 and 2012, there was a 333.48% increase in the fleet of motorcycles11. In view of this increase, the potential years of life lost, the high mortality from accidents related to these vehicles, in addition to their social and economic impact on society, this study aims to describe the profile and evolution of the mortality rate due to motorcycle accidents between 2000 and 2012 in Belo Horizonte and its Metropolitan Region. According to our knowledge, the scarcity is highlighted of current published studies on this theme.

 

METHOD

 

This is a study with an ecological design of time series, with data related to the mortality due to motorcycle accidents in LDAs from 2000 to 2012 in Belo Horizonte and in 33 municipalities that make up its Metropolitan Region.

The data used on the mortality rate due to motorcycle accidents were obtained from the SUS Informatics Department (DATASUS) managed by the Mortality Information System (SIM), which has Death Certificates (DCs) as source of data. Deaths were selected according to ICD-10, under codes V20 to V29, a category that includes accidents involving motorcyclists, considered by occurrence and stratified according to year (2000 to 2012), gender (male and female), age group(0 to 19 years old; 20 to 29 years old; 30 to 49 years old; 50 to 59 years old; 60 years old or more), race/skin color (white; black/brown; yellow/indigenous), marital status (with partner; without partner), and schooling (none; 1 to 3 years; 4 to 7 years; 8 to 11 years; 12 years or more).

The denominators used to calculate the general mortality rates, by age and gender, were obtained by the Brazilian Institute of Statistical Geography (Instituto Brasileiro de Geografia Estatística, IBGE), through censuses and inter-census projections, during the analyzed period. Data was extracted using the Tabnet (generic publicly available tabulator).

Initially, a descriptive analysis of the data was performed, based on the calculation of the frequencies and proportions. Subsequently, linear regression analyses were conducted to estimate the linear trend in mortality rates in the gender and age categories. Beta (β) coefficients and 95% confidence intervals were estimated, and levels of statistical significance of 5% (p<0.05) were considered. The results were presented by means of tables and figures.

Data was processed and analyzed in the Statistical Software for Professionals (Stata) software, version 14.0 (Stata Corp., Texas, USA).

 

RESULTS

 

From 2000 to 2012, there was a 278% increase in the number of deaths due to motorcycle accidents, with a predominance of male victims, ranging from 88.8% to 96.5% of the cases. The most affected age group was that from 20 to 29 years old in all the years studied, reaching the highest percentage of mortality in 2000 (57.45%), and the lowest in 2006 (34.33%). Regarding race/skin color, the most affected population was brown-skinned people, representing 66% of the deaths in 2000, and 54% in 2012. The majority of deaths occurred in individuals without partners, reaching approximately 82% in 2005 and 80% in 2012.

Regarding schooling, the number of deaths predominated in individuals with between 4 and 7 years and 8 to 11 years of study, varying over the analyzed period. In individuals with 1 to 3 years of study, the variation was from 25.5% of the number of deaths in 2000 to 5.08% of the number of deaths in 2012 (Table 1).

Table 1 – Number (n) and Proportion (%) of motorcycle accidents, according to gender, age group, race/skin color, schooling and marital status – Belo Horizonte and its Metropolitan Region, 2000-2012.

Year

 

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

Gender

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Male

n (%)

45 (95.74)

54 (93.1)

83 (96.51)

64 (91.43)

97 (94.17)

100 (92.59)

119 (88.81)

137 (89.54)

194 (93.72)

135 (92.47)

178 (95.19)

186 (88.57)

164 (92.13)

Female

n (%)

2 (4.26)

4 (6.9)

3 (3.49)

6 (8.57)

6 (5.83)

8 (7.41)

15 (11.19)

16 (10.46)

13 (6.28)

11 (7.53)

9 (4.81)

24 (11.43)

14 (7.87)

Age (years old)

 

 

 

 

 

 

 

 

 

 

 

 

 

0-19

n (%)

5 (10.64)

13 (22.41)

15 (17.44)

14 (20.00)

14 (13.59)

15 (13.89)

29 (21.64)

19 (12.42)

35 (16.91)

14 (9.59)

18 (9.63)

22 (10.48)

24 (13.48)

20-29

n (%)

27 (57.45)

29 (50.00)

34 (39.53)

34 (48.57)

54 (52.43)

49 (45.37)

46 (34.33)

80 (52.29)

106 (51.21)

71 (48.63)

93 (49.73)

91 (43.33)

74 (41.57)

30-49

n (%)

13 (27.66)

14 (24.14)

33 (38.37)

16 (22.86)

30 (29.13)

39 (36.11)

49 (36.57)

46 (30.07)

55 (26.57)

50 (34.25)

61 (32.62)

81 (38.57)

60 (33.71)

50-59

n (%)

2 (4.26)

1 (1.72)

3 (3.49)

1 (1.43)

4 (3.88)

2 (1.85)

5 (3.73)

7 (4.58)

8 (3.86)

9 (6.16)

11 (5.88)

12 (5.71)

15 (8.43)

60 or more

n (%)

0 (0.00)

1 (1.72)

1 (1.16)

5 (7.14)

1 (0.97)

3 (2.78)

5 (3.73)

1 (0.65)

3 (1.45)

2 (1.37)

4 (2.14)

4 (1.90)

5 (2.81)

Race/Skin color

 

 

 

 

 

 

 

 

 

 

 

 

 

 

White

n (%)

13 (27.66)

27 (46.55)

48 (55.82)

26 (37.14)

40 (38.83)

42 (38.89)

47 (35.07)

55 (36.18)

72 (34.78)

53 (36.30)

77 (41.18)

71 (33.81)

60 (33.71)

Black

n (%)

3 (6.38)

5 (8.62)

4 (4.65)

4 (5.71)

10 (9.71)

8 (7.41)

14 (10.45)

15 (9.87)

22 (10.63)

10 (6.85)

21 (11.23)

23 (10.95)

22 (12.36)

Brown

n (%)

31 (65.96)

26 (44.83)

34 (39.53)

40 (57.15)

53 (51.46)

58 (53.70)

73 (54.48)

81 (53.29)

113 (54.59)

83 (56.85)

89 (47.59)

115 (54.76)

96 (53.93)

Indigenous                       

n (%)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

1 (0.66)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

Asian

n (%)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

0 (0.00)

1 (0.48)

0 (0.00)

Schooling (years)

 

 

 

 

 

 

 

 

 

 

 

 

 

None

n (%)

0 (0.00)

1 (1.72)

2 (2.38)

1 (1.45)

1 (0.98)

1 (0.95)

0 (0.00)

1 (0.68)

1 (0.49)

1 (0.70)

2 (1.08)

1 (0.48)

1 (0.56)

1-3

n (%)

12 (25.53)

4 (6.90)

3 (3.57)

2 (2.90)

4 (3.92)

12 (11.43)

13 (9.92)

13 (8.90)

14 (6.86)

7 (4.90)

5 (2.69)

13 (6.25)

9 (5.08)

4-7

n (%)

23 (48.94)

24 (41.38)

29 (34.52)

33 (47.83)

33 (32.35)

36 (34.29)

61 (46.56)

53 (36.30)

72 (35.29)

47 (32.87)

59 (31.72)

76 (36.54)

54 (30.51)

8-11

n (%)

9 (19.15)

28 (48.28)

35 (41.67)

29 (42.03)

56 (54.90)

50 (47.62)

47 (35.88)

73 (50.00)

95 (46.57)

74 (51.75)

106 (56.99)

98 (47.12)

95 (53.67)

12 or more

n (%)

3 (6.38)

1 (1.72)

15 (17.86)

4 (5.80)

8 (7.84)

6 (5.71)

10 (7.63)

6 (4.11)

22 (10.78)

14 (9.79)

14 (7.53)

20 (9.62)

18 (10.17)

Marital status

 

 

 

 

 

 

 

 

 

 

 

 

 

Has a partner

n (%)

15 (31.91)

16 (28.07)

16 (19.05)

14 (20.29)

29 (28.43)

18 (17.31)

33 (25.00)

32 (21.19)

33 (15.94)

30 (20.69)

39 (20.86)

44 (20.95)

34 (19.10)

No partner

n (%)

32 (68.09)

41 (71.93)

68 (80.95)

55 (79.71)

73 (71.57)

86 (82.69)

99 (75.00)

119 (78.81)

174 (84.06)

115 (79.31)

148 (79.14)

166 (79.05)

144 (80.90)

Total

 

47

58

86

70

103

108

134

153

207

146

187

210

178

Source: Created for the purposes of this study.

 

 

 

 

 

 

 

 

 

 

 

The mortality rate of motorcyclists increased from 1.7 to 3.58 deaths/100,000 inhabitants in the analyzed period, that is, 110%, with an increasing trend (β=0.25 per year; p<0.01). In relation to males, the rate increased from 2.13 to 6.88 deaths/100,000 inhabitants (β=0.48 per year; p<0.01). For females, the variation was from 0.08 to 0.54 deaths/100,000 inhabitants(β=0.05 per year; p<0.01) (Figure 1).

 

Figure1 - Mortality rate due to motorcycle accidents, according to the victim's gender – Belo Horizonte and its Metropolitan Region, 2000-2012

Figura1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: Created for the purposes of this study.

 

 

The age groups up to 59 years old showed a statistically significant growth trend (p<0.01), with the greatest variation in the age group between 20 and 29 years old (β=0.60 per year; p=0.01), followed by the age groups of 30 to 49 years old (β=0.30 a year; p=0.01), 50 to 59 years old (β=0.20 a year; p=0.01), and 0 to 19 years old (β=0.09 per year; p=0.01). The age group of 60 years old or more had a small growth trend, but without statistical significance (β=0.04 per year; p=0.24) (Figure 2).

Figure 2 - Mortality rate due to motorcycle accidents, according to the victim's age group – Belo Horizonte and its Metropolitan Region, 2000-2012

Figura2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: Created for the purposes of this study.

 

 

 

DISCUSSION

 

The results of the trend analysis of mortality in Belo Horizonte and its Metropolitan Region showed an increase of 110% in the mortality rate due to motorcycle accidents during the period from 2000 to 2012, with an increasing trend. In the years 2002, 2008 and 2011, there was a reduction in the mortality rate, and an increase was recorded in all the other years of the analyzed period.  

According to a survey by the Ministry of Health on the panorama of morbidity and mortality due to accidents involving motorcyclists in Brazil, the motorization rate went from 3.9 motorcycles per 100 inhabitants in 2004 to 10.7 motorcycles per 100 inhabitants in 2013, that is, a growth of 176%10. Such an increase in the fleet can be explained by the possibility of insertion in the labor market, the inefficiency of the public transportation system, time optimization, and the easy financing for purchasing a motorcycle6,7,12.

It is believed that the reductions in the mortality rates in the aforementioned years are related to Resolution No. 136, of April 2nd, 200213, which increases the values of traffic fines, and to Law No.11,705, of June 19th, 200814, which provides for the “Prohibition Law”, with the purpose of establishing zero blood alcohol levels (with a tolerance up to 0.2 g/L) in vehicle drivers, and for the application of penalties in case it is not complied with. Data published in a time series study with mortality data due to LDAs between 1980 and 2014 demonstrate that the mortality rate decreased after the implementation in the Prohibition Law15. However, in the results of this study, it is possible to perceive an increase in the mortality rate in the following year, 2009, demonstrating that the Law was effective, but during a certain period, as indicated in other studies15.

In 2011, the reduction in the mortality rate can be explained by the implementation of the “Life in Traffic” Program in Belo Horizonte, developed by the Brazilian government as a strategy for the National Health Plan of the Decade of Traffic Safety Actions. According to Moraes in a survey to assess the “Life in Traffic” Project from 2010 to 2011, there was a 16.8% reduction in the mortality rate due to LDAs in Belo Horizonte, showing the importance of the Program.16

In relation to the increase in the mortality rates in the period analyzed in this study, aspects such as the risk behavior of motorcyclists and the trauma mechanism of accidents stand out. Among the risk behaviors related to the increase in the mortality due to motorcycle accidents, the consumption of alcoholic beverages, driving in the traffic lane corridors, and speeding can be mentioned. Alcohol consumption associated with driving is recognized as a real aggravating factor in traffic accidents6,7. Due to their effects on the nervous system, alcoholic beverages offer a feeling of confidence to the drivers, and produce alterations in the attention capacity, in coordination, and in reaction time7.

Driving in the traffic lane corridors is a risk factor due to the difficulty for the drivers of other vehicles (mainly of larger vehicles like buses) to see the motorcycles. Climatic conditions and the structural condition of the roads can also increase motorcycle instability, increasing the number of accidents17.

In addition to these factors, speeding, which is closely related to non-compliance with traffic laws, directly interferes with the trauma mechanism of motorcycle accidents, since speed is an important factor responsible for the production of kinetic energy. In the case of motorcycles, there is great vulnerability of the motorcyclist and the passenger since their bodies are exposed during the accident, except for the head that is protected by the helmet, aggravating the trauma, as all the kinetic energy produced is transferred to the victim15.

Regarding the profile of fatal victims due to motorcycle accidents, the characteristics found in the present study corroborate those observed in the literature(2, 7, 10, 15, 18). Young, single, male victims with low socioeconomic status are more frequently involved in the accidents, which can be explained by their greater exposure to traffic and risky behaviors related to driving and alcohol use(7, 10, 15). Some characteristics, such as inexperience, pleasure in experiencing sensations of risk, and impulsiveness are behaviors found in this group and, often, the effect of socio-cultural patterns17. In the results presented in the Violence and Accident Surveillance System, in 2014, of the total number of calls for traffic accidents in the 24 capitals and in the Federal District, the most affected population were brown-skinned individuals with 9 to 11 years of study, similarly to what was found in that paper18.

Finally, it is emphasized that, among one of the limitations of this study is the fact that it refers to the use of mortality data by the SIM. This system has been configured as an important data source tool in epidemiological studies. However, problems like absence of data are still common12.

In addition, to our knowledge, there is shortage of time series studies focused on the theme, with data on motorcyclist mortality in LDAs in Belo Horizonte and in municipalities of its Metropolitan Region, in the periods included in this research.

CONCLUSION

 

The results of this study demonstrate that the trend of mortality due to motorcycle accidents in Belo Horizonte and its Metropolitan Region had an increasing trend, despite attempts to reduce it. We believe in the importance of actions that cover not only punitive laws, but multi-sectoral actions related to education in traffic and that prioritize the prevention of this type of accidents, especially in men and in the age groups at greater risk.

 

Acknowledgements:

MASV would like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES, Brazil, for the scholarship (demanda social).

GVM would like to thank the A Fundação de Amparo à Pesquisa do Estado de Minas Gerais – Fapemig - (grant PPM0071316).

FPM would like to thank the Núcleo de Estudos e Pesquisa em Vacinação (NUPESV) – CNPq.

 

 

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12. Paixão LMMM, Gontijo ED, Drumond EF, Friche AAL, Caiaffa WT. Acidentes de trânsito em Belo Horizonte: o que revelam três diferentes fontes de informações, 2008 a 2010. Rev Bras Epidemiol [Internet]. 2015 Mar [cited 2016 Nov 07]; 18(1): 108-122. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2015000100108&lng=en  

 

13. Conselho Nacional de Trânsito (CONATRAN). Resolução nº 136, de 2 de abril de 2002. Dispõe sobre os valores das multas de infração de trânsito. Diário Oficial da União. Brasília: DF; 9 abr 2002. Seção 1.

 

14. Brasil. Lei n. 11.705, de 19 de junho de 2008. Dispõe sobre o consumo de bebida alcoólica por condutor de veículo automotor, e dá outras providências. Diário Oficial da União, Brasília: DF; 20 jun 2008. Seção 1.

 

15. Abreu DROM, Souza EM, Mathias TAF. Impacto do Código de Trânsito Brasileiro e da Lei Seca na mortalidade por acidentes de trânsito. Cad Saúde Pública [Internet]. 2018 [citado 2019 ago 31]; 34(8): e00122117. Available from: https://www.scielosp.org/article/csp/2018.v34n8/e00122117/pt/  

 

16. Morais Neto OL, Silva MMA, Lima CM, Malta DC, Silva Jr JB. Projeto Vida no Trânsito: avaliação das ações em cinco capitais brasileiras, 2011-2012. Epidemiol Serv Saúde [Internet]. 2013 [cited 2019 ago 30];22(3):373-82. Available from: https://repositorio.bc.ufg.br/handle/ri/18753   

 

17. Greve JMD, Resende MR, Carvalho HB, Andreuccetti G, Bernini CO, Leyton V. Factors related to motorcycle accidents with victims: an epidemiological survey. MedEx [Internet]. 2018 [cited 2019 Aug 30];5(mo18007):1-8. Available from: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S2358-04292018000100306  

 

18. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos Não Transmissíveis e Promoção da Saúde. Viva: Vigilância de Violências e Acidentes, 2013 e 2014  [Internet]. Brasília: Ministério da Saúde; 2017 [cited 2019 ago 30]. Avaliable from: https://www.saude.gov.br/images/pdf/2017/janeiro/12/viva_vigilancia_violencia_acidentes_2013_2014.pdf

 

 

 

Received: 02/27/2019

Revised: 08/25/2019

Approved: 11/22/2019