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      Cause-specific mortality for 249 causes in Brazil and states during 1990–2015: a systematic analysis for the global burden of disease study 2015

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          Abstract

          Background

          Reliable data on cause of death (COD) are fundamental for planning and resource allocation priorities. We used GBD 2015 estimates to examine levels and trends for the leading causes of death in Brazil from 1990 to 2015.

          Methods

          We describe the main analytical approaches focused on both overall and specific causes of death for Brazil and Brazilian states.

          Results

          There was an overall improvement in life expectancy at birth from 1990 to 2015, but with important heterogeneity among states. Reduced mortality due to diarrhea, lower respiratory infections, and other infectious diseases contributed the most for increasing life expectancy in most states from the North and Northeast regions. Reduced mortality due to cardiovascular diseases was the highest contributor in the South, Southeast, and Center West regions. However, among men, intentional injuries reduced life expectancy in 17 out of 27 states. Although age-standardized rates due to ischemic heart disease (IHD) and cerebrovascular disease declined over time, these remained the leading CODs in the country and states. In contrast, leading causes of premature mortality changed substantially - e.g., diarrheal diseases moved from 1st to 13th and then the 36th position in 1990, 2005, and 2015, respectively, while violence moved from 7th to 1st and to 2nd. Overall, the total age-standardized years of life lost (YLL) rate was reduced from 1990 to 2015, bringing the burden of premature deaths closer to expected rates given the country’s Socio-demographic Index (SDI). In 1990, IHD, stroke, diarrhea, neonatal preterm birth complications, road injury, and violence had ratios higher than the expected, while in 2015 only violence was higher, overall and in all states, according to the SDI.

          Conclusions

          A widespread reduction of mortality levels occurred in Brazil from 1990 to 2015, particularly among children under 5 years old. Major shifts in mortality rates took place among communicable, maternal, neonatal, and nutritional disorders. The mortality profile has shifted to older ages with increases in non-communicable diseases as well as premature deaths due to violence. Policymakers should address health interventions accordingly.

          Electronic supplementary material

          The online version of this article (10.1186/s12963-017-0156-y) contains supplementary material, which is available to authorized users.

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          Most cited references25

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          The global burden for disease: A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020

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            Violent Death Rates: The US Compared with Other High-income OECD Countries, 2010.

            Violent death is a serious problem in the United States. Previous research showing US rates of violent death compared with other high-income countries used data that are more than a decade old.
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              Effect of city-wide sanitation programme on reduction in rate of childhood diarrhoea in northeast Brazil: assessment by two cohort studies

              Summary Background A city-wide sanitation intervention was started in Salvador, Brazil, in 1997 to improve sewerage coverage from 26% of households to 80%. Our aim was to investigate the epidemiological effect of this city-wide sanitation programme on diarrhoea morbidity in children less than 3 years of age. Methods The investigation was composed of two longitudinal studies done in 1997–98 before the intervention (the sanitation programme) and in 2003–04 after the intervention had been completed. Each study consisted of a cohort of children (841 in the preintervention study and 1007 in the postintervention study; age 0–36 months at baseline) who were followed up for a maximum of 8 months. Children were sampled from 24 sentinel areas that were randomly chosen to represent the range of environmental conditions in the study site. At the start of each study an individual or household questionnaire was applied by trained fieldworkers; an environmental survey was done in each area before and after introduction of the sanitation programme to assess basic neighbourhood and household sanitation conditions. Daily diarrhoea data were obtained during home visits twice per week. The effect of the intervention was estimated by a hierarchical modelling approach fitting a sequence of multivariate regression models. Findings Diarrhoea prevalence fell by 21% (95% CI 18–25%)—from 9·2 (9·0–9·5) days per child-year before the intervention to 7·3 (7·0–7·5) days per child-year afterwards. After adjustment for baseline sewerage coverage and potential confounding variables, we estimated an overall prevalence reduction of 22% (19–26%). Interpretation Our results show that urban sanitation is a highly effective health measure that can no longer be ignored, and they provide a timely support for the launch of 2008 as the International Year of Sanitation.
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                Author and article information

                Contributors
                efranca@medicina.ufmg.br
                passos.v@gmail.com
                cmalta@uol.com
                bbduncan@ufrgs.br
                tom@hc.ufmg.br
                mark.guimaraes@gmail.com
                dmxa@medicina.ufmg.br
                nogales@unb.br
                mcarneir@icb.ufmg.br
                renato.statistic@gmail.com
                paulo.camargos@pq.cnpq.br
                ana.paula.souto.melo@gmail.com
                lanza@cedeplar.ufmg.br
                maria.schmidt@ufrgs.br
                lenice.ishi@gmail.com
                robemarini@gmail.com
                otaliba.libanio@gmail.com
                teitabt@hotmail.com
                guerramr@hotmail.com
                isabensenor@gmail.com
                palotufo@usp.br
                megham2@uw.edu
                nagham@uw.edu
                Journal
                Popul Health Metr
                Popul Health Metr
                Population Health Metrics
                BioMed Central (London )
                1478-7954
                22 November 2017
                22 November 2017
                2017
                : 15
                : 39
                Affiliations
                [1 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, Faculdade de Medicina, Programa de Pós-graduação em Saúde Pública, ; Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100 Brazil
                [2 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, School of Medicine, ; Av. Alfredo Balena, 190., Belo Horizonte, 30130-100 Brazil
                [3 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno Infantil, ; Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100 Brazil
                [4 ]ISNI 0000 0001 2200 7498, GRID grid.8532.c, Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, ; R. Ramiro Barcelos 2600/414, Porto Alegre, 90035-003 Brazil
                [5 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, Faculdade de Medicina, Nescon, ; Av. Prof. Alfredo Balena, 190, Belo Horizonte, 30130-100 Brazil
                [6 ]ISNI 0000 0001 2238 5157, GRID grid.7632.0, Universidade de Brasília, Programa de Pós-graduação em Desenvolvimento, Sociedade e Cooperação Internacional, ; Asa Norte, Brasília, 70910-900 Brazil
                [7 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade de Federal de Minas Gerais, Instituto de Ciências Biológicas, Departamento de Parasitologia. Avenida Antônio Carlos, ; 6670, Belo Horizonte, MG 31270-901 Brazil
                [8 ]Universidade Federal de São João Del Rei, Faculdade de Medicina. Praça Frei Orlando, 170, Centro, São João del-Rei, 36307-352 Brazil
                [9 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, Faculdade de Ciências Econômicas, Departamento de Demografia, ; Av. Antônio Carlos, 6670, Belo Horizonte, 31270-901 Brazil
                [10 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Universidade Federal de Minas Gerais, Grupo de Pesquisas em Epidemiologia e Avaliação em Saúde-GPEAS, ; Av. Alfredo Balena, 190, Belo Horizonte, 30130-100 Brazil
                [11 ]ISNI 0000 0000 9270 1314, GRID grid.452464.5, Fundação Hospitalar do Estado de Minas Gerais, ; Alameda Alvaro Celso 100/231, Belo Horizonte, 30150-260 Brazil
                [12 ]ISNI 0000 0001 2192 5801, GRID grid.411195.9, Universidade Federal de Goiás, Departamento de Saúde Coletiva. Instituto de Patologia Tropical e Saúde Pública. Rua 235, S/N, Setor Universitário, ; Goiânia, Goiás, 74605050 Brazil
                [13 ]ISNI 0000 0001 2170 9332, GRID grid.411198.4, Universidade Federal de Juiz de Fora, Programa de Pós-graduação em Saúde Coletiva, Campus Universitario da UFJF, ; Rua José Lourenço Kelmer, S/n, Martelos, Juiz de Fora, 36036-330 Brazil
                [14 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Universidade de São Paulo. Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, ; Av. Lineu Prestes, 2565 / 3° andar, São Paulo, 05508-000 Brazil
                [15 ]ISNI 0000 0004 0448 3644, GRID grid.458416.a, Institute for Health Metrics and Evaluation, ; 2301 5th Avenue, Suite 600, Box 358210, Seattle, WA 98121 USA
                Article
                156
                10.1186/s12963-017-0156-y
                5700707
                29166948
                f90f507c-9766-4017-a412-1ba301943e8d
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 December 2016
                : 7 November 2017
                Funding
                Funded by: Ministério da Saúde (BR), Fundo Nacional de Saúde
                Award ID: 25000192049/2014-14
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                mortality,causes of death,global burden of disease,brazil
                Health & Social care
                mortality, causes of death, global burden of disease, brazil

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