Mortality of motorcyclists due to traffic injuries in Brasil: a population-based study in Brazilian capitals

Souza, Carlos Dornels Freire de; Paiva, João Paulo Silva de; Leal, Thiago Cavalcanti; Silva, Leonardo Feitosa da; Santana, Gibson Barros de Almeida; Correia, Divanise Suruagy; Machado, Michael Ferreira; Medronho, Roberto Andrade; Santos, Victor Santana; Magalhães, Mônica de Avelar Figueiredo Mafra

doi:10.1590/1806-9282.66.10.1355

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Revista da Associação Médica Brasileira

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Rapid Communications • Rev. Assoc. Med. Bras. 66 (10) • Oct 2020 • https://doi.org/10.1590/1806-9282.66.10.1355 copy

Mortality of motorcyclists due to traffic injuries in Brasil: a population-based study in Brazilian capitals

Authorship SCIMAGO INSTITUTIONS RANKINGS

SUMMARY

OBJECTIVE:

To analyze the mortality trend of young men who were victims of traffic injuries involving motorcycles in all Brazilian capitals from 2001 to 2015.

METHODS:

A time-series study on all deaths of men aged 20-39 years old due to traffic injuries involving motorcycles in all 27 Brazilian capitals. We used the joinpoint regression model for temporal analysis and calculated the Annual Percent Change (APC) and Average Annual Percent Change (AAPC) to verify the mortality trends.

RESULTS:

A total of 12,058 deaths of young men were recorded in the Brazilian capitals during the period studied. The highest mortality rates were observed in Boa Vista/Roraima (34.0/100,000 population) and Palmas/Tocantins (29.80/100,000). Twelve of the 27 capitals showed an increasing trend in mortality, with the highest percentage increase being observed in Salvador (APC: 29.0%) and São Paulo (APC: 13.1%). None of the capitals showed a decline in the trend of mortality.

CONCLUSIONS:

Overall, the mortality of young men from traffic injuries involving motorcycles shows an increasing trend in 12 of the 27 capitals, which represents a public health problem that requires the implementation of more effective public policies.

KEYWORDS:
Accidents, traffic; Mortality; Epidemiology; Public Health; Motorcycles

Capital	Period	APC (95% CI)	AAPC (95% CI)	Trend
Porto Velho/Rondônia	2001–2015	10.5 ^a a Statistical significance (P <0.05); (5.2; 16.0)	10.5 ^a a Statistical significance (P <0.05); (5.2; 16.0)	Increasing
Rio Branco/Acre	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;
Manaus/Amazonas	2001–2015	6.0 ^a a Statistical significance (P <0.05); (2.7; 9.5)	6.0 ^a a Statistical significance (P <0.05); (2.7; 9.5)	Increasing
Boa Vista/Roraima	2001–2003 2003–2007 2007–2015	-65.9 (-89.3; 8.9) 47.0 (-17.7; 162.5) -0.9 (-12.7; 12.5)	-4.8 (-22.3; 16.7)	Stable
Belém/Pará	2001–2015	11.2 ^a a Statistical significance (P <0.05); (5.3; 17.6)	11.2 ^a a Statistical significance (P <0.05); (5.3; 17.6)	Increasing
Macapá/Amapá	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;	_^b b Inconsistent data made the temporal analysis unfeasible;
Palmas/Tocantins	2001–2015	-2.0 (-4.5; 0.7)	-2.0 (-4.5; 0.7)	Stable
São Luís/Maranhão	2001–2015	6.2 ^a a Statistical significance (P <0.05); (3.0; 9.6)	6.2 ^a a Statistical significance (P <0.05); (3.0; 9.6)	Increasing
Teresina/Piauí	2001–2015	11.5 ^a a Statistical significance (P <0.05); (8.5; 14.6)	11.5 ^a a Statistical significance (P <0.05); (8.5; 14.6)	Increasing
Fortaleza/Ceará	2001–2015	-0.3 (-3.4; 2.9)	-0.3 (-3.4; 2.9)	Stable
Natal/Rio Grande do Norte	2001–2015	4.1 (-1.8; 10.4)	4.1 (-1.8; 10.4)	Stable
João Pessoa/Paraíba	2001–2015	10.0 ^a a Statistical significance (P <0.05); (4.1; 16.2)	10.0 ^a a Statistical significance (P <0.05); (4.1; 16.2)	Increasing
Recife/Pernambuco	2001–2015	9.3 ^a a Statistical significance (P <0.05); (4.9; 13.9)	9.3 ^a a Statistical significance (P <0.05); (4.9; 13.9)	Increasing
Maceió/Alagoas	2001–2015	0.7 (-4.6; 6.4)	0.7 (-4.6; 6.4)	Stable
Aracaju/Sergipe	2001–2015	6.9 ^a a Statistical significance (P <0.05); (3.8; 10.1)	6.9 ^a a Statistical significance (P <0.05); (3.8; 10.1)	Stable
Salvador/Bahia	2001–2015	29.0 ^a a Statistical significance (P <0.05); (16.2; 43.2)	29.0^a a Statistical significance (P <0.05); (16.2; 43.2)	Increasing
Belo Horizonte/Minas Gerais	2001–2015	6.9 ^a a Statistical significance (P <0.05); (2.3; 11;7)	6.9 ^a a Statistical significance (P <0.05); (2.3; 11.7)	Increasing
Vitória/Espiríto Santos	2001–2015	0.3 (-6.2; 7.4)	0.3 (-6.2; 7.4)	Stable
Rio de Janeiro/Rio de Janeiro	2001–2009 2009–2012 2012–2015	16.3 ^a a Statistical significance (P <0.05); (8.9; 24.1) -33.0 (-63.2; 21.9) 29.8 (-3.8; 75.2)	5.8 (-6.5; 19.6)	Stable
São Paulo/São Paulo	2001–2015	13.1 ^a a Statistical significance (P <0.05); (5.7; 21.0)	13.1 ^a a Statistical significance (P <0.05); (5.7; 21.0)	Increasing
Curitiba/Paraná	2001–2006 2006–2015	39.0 ^a a Statistical significance (P <0.05); (6.4; 81.7) -5.1 (-14.9; 5.9)	8.8 (-2.0; 20.7)	Stable
Florianópolis/Santa Catarina	2001–2015	1.6 (-3.2; 6.5)	1.6 (-3.2; 6.5)	Stable
Porto Alegre/Rio Grande do Sul	2001–2015	2.9 (-0.3; 6.2)	2.9 (-0.3; 6.2)	Stable
Campo Grande/Mato Grosso do Sul	2001–2008 2008–2015	28.4 ^a a Statistical significance (P <0.05); (14.6; 43.8) -4.6 (-14.8; 6.8)	10.7 ^a a Statistical significance (P <0.05); (3.1; 18.7)	Increasing
Cuiabá/Mato Grosso	2001–2015	4.5 (-0.4; 9.6)	4.5 (-0.4; 9.6)	Stable
Goiânia/Goiás	2001–2004 2004–2015	20.4 (-2.7; 49.0) -1.7 (-4.5; 1.2)	2.7 (-1.8; 7.4)	Stable
Brasília/Distrito Federal	2001–2007 2017–2015	30.8 ^a a Statistical significance (P <0.05); (12.3; 52.2) -4.3 (-13.2; 5.6)	9.4 ^a a Statistical significance (P <0.05); (1.5; 18.0)	Increasing

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[1] CORRESPONDING AUTHOR: Carlos Dornels Freire de Souza, Departamento de Medicina, Rodovia AL-115, s/n, Bom Sucesso, AL, Brasil – 47300-000 Tel: +55 87 99622-0698. E-mail: carlos.freire@arapiraca.ufal.br