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Premature mortality caused by the main chronic noncommunicable diseases in the Brazilian states

Mortalidad prematura por las principales enfermedades crónicas no transmisibles en los estados de Brasil

ABSTRACT

Objective:

To verify the variation of the premature mortality rate caused the group of the main chronic noncommunicable diseases.

Method:

This is a time-series ecological study, which used secondary data of the Mortality Information System, from 2006 to 2014, from the 26 federal units and from the Federal District. Deaths caused by circulatory system diseases, cancer, diabetes and chronic respiratory diseases were included. The trend of adjusted mortality rate was analyzed by segmented linear regression.

Results:

Premature mortality tended to be reduced in most states, except for Maranhão and Rio Grande do Norte, which presented a stable premature mortality rate. Bahia, Pernambuco, Sergipe, Roraima and all the states from the South, Southeast and Central-West Regions reached the goal of reducing 2% per year in premature mortality caused by main diseases.

Conclusion:

Most of the states showed a reduced mortality rate and are reaching the proposed target.

Descriptors:
Noncommunicable Diseases; Chronic Disease; Mortality, Premature; Public Health; Ecological Studies

RESUMEN

Objetivo:

Verificar la variación de la tasa de mortalidad prematura por el conjunto de las principales enfermedades crónicas no transmisibles.

Método:

Estudio ecológico de series temporales, en que se utilizaron datos secundarios del Sistema de Información sobre Mortalidad, de 2006 a 2014, de las 26 Unidades Federativas y del Distrito Federal. Se incluyeron muertes con causa básica las enfermedades del aparato circulatorio, cáncer, diabetes y enfermedades respiratorias crónicas. La tendencia de la tasa ajustada de mortalidad se analizó por la regresión lineal segmentada.

Resultados:

Hubo tendencia de reducción de la mortalidad prematura en la mayoría de los estados, excepto Maranhão y Rio Grande do Norte que presentaron estabilidad de la tasa de mortalidad prematura. Los estados de Bahía, Pernambuco, Sergipe, Roraima y todos de la Región Sur, Sudeste y Centro-Oeste alcanzaron la meta de reducción del 2% al año en la mortalidad prematura por las principales enfermedades.

Conclusión:

La mayoría de los estados presentan reducción de la tasa de mortalidad y están alcanzando la meta propuesta.

Descriptores:
Enfermedades no Transmisibles; Enfermedad Crónica; Mortalidad Prematura; Salud Pública; Estudios Ecológicos

RESUMO

Objetivo:

Verificar a variação da taxa de mortalidade prematura pelo conjunto das principais doenças crônicas não transmissíveis.

Método:

Estudo ecológico de séries temporais, que utilizou dados secundários do Sistema de Informações sobre Mortalidade, de 2006 a 2014, das 26 unidades federativas e do Distrito Federal. Foram incluídos óbitos que tiveram como causa básica doenças do aparelho circulatório, câncer, diabetes e doenças respiratórias crônicas. A tendência da taxa ajustada de mortalidade foi analisada pela regressão linear segmentada.

Resultados:

Houve tendência de redução da mortalidade prematura na maioria dos estados, exceto Maranhão e Rio Grande do Norte, que apresentaram estabilidade da taxa de mortalidade prematura. Os estados da Bahia, Pernambuco, Sergipe, Roraima e todos das regiões Sul, Sudeste e Centro-Oeste atingiram a meta de redução de 2% ao ano na mortalidade prematura pelas principais doenças.

Conclusão:

A maioria dos estados apresentaram redução da taxa de mortalidade e estão atingindo a meta proposta.

Descritores:
Doenças Não Transmissíveis; Doença Crônica; Morte Prematura; Saúde Pública; Estudos Ecológicos

INTRODUCTION

According to the World Health Organization (WHO), chronic noncommunicable diseases (CNCD) kill an estimated 38 million people each year, accounting for 70% of all deaths in the world(11 World Health Organization (WHO). Health statistics and information systems: disease burden and mortality estimates. [Internet]. Geneva: WHO; 2016 [cited 2018 Jul 27]. Available from: http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html.
http://www.who.int/healthinfo/global_bur...
). Circulatory system diseases (CSD), cancer, chronic respiratory diseases (CRD) and diabetes account for 80% of these deaths by CNCD. Although people of all ages are affected by these diseases, the risk of premature death in those aged 30-69 was 22% in 2000 and 18% in 2016. Despite the reduction, mortality risk is still high, especially in middle and low-income countries(22 World Health Organization (WHO). Global Health Estimates 2016: deaths by cause, age, sex, by country and by region, 2000-2016 [Internet]. Geneva: WHO; 2013. [cited 2018 Jul 29]. Available from: http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html.
http://www.who.int/healthinfo/global_bur...
).

In Brazil, in 2011, CSD, cancer, CRD and diabetes accounted for 63.7% of the total premature deaths(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
). In 2016, the risk of death in individuals aged 30 to 69 years due to these causes was 16.6%(22 World Health Organization (WHO). Global Health Estimates 2016: deaths by cause, age, sex, by country and by region, 2000-2016 [Internet]. Geneva: WHO; 2013. [cited 2018 Jul 29]. Available from: http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html.
http://www.who.int/healthinfo/global_bur...
). This is a serious public health problem, identified in the Strategic Action Plan for Coping with Noncommunicable Chronic Diseases in Brazil (2011-2022), which aims to reduce the premature mortality rate by 2% per year until 2022. For this, the development of health promotion strategies, the reduction of risk factors (smoking, inadequate feeding, obesity, physical inactivity and excessive alcohol consumption) and support for the treatment of diseases are planned(44 Ministério da Saúde (BR). Plano de Ações Estratégicas para o Enfrentamento das Doenças Crônicas Não Transmissíveis (DCNT) no Brasil (2011-2022) [Internet]. Brasília; 2013 [cited 2018 Jul 29]. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/plano_acoes_enfrent_dcnt_2011.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
).

Most of the previous studies that showed data on premature mortality in Brazil analyzed states(55 Oliveira E, Faoro NT, Cubas RF. Análise de tendência da taxa de mortalidade prematura por doenças crônicas não transmissíveis no estado do Paraná entre 2000 e 2013. Espaç Saúde [Internet]. 2017[cited 2018 Jul 29];18(1):90-9. Available from: http://espacoparasaude.fpp.edu.br/index.php/espacosaude/article/view/349/pdf
http://espacoparasaude.fpp.edu.br/index....
) and regions(66 Schmidt MI, Duncan BB, Azevedo e Silva G, Menezes AM, Monteiro CA, Barreto SM, et al. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet. 2011;377(9781):1949-61. doi: 10.1016/S0140-6736(11)60135-9
https://doi.org/10.1016/S0140-6736(11)60...
-77 Soares GP, Brum JD, Oliveira GMM, Klein CH, Silva NAS. Mortalidade por todas as causas e por doenças cardiovasculares em três estados do Brasil, 1980 a 2006. Rev Panam Salud Publica [Internet]. 2010 [cited 2018 Aug 25];28(4):258-66. Available from: https://scielosp.org/article/rpsp/2010.v28n4/258-266/pt/
https://scielosp.org/article/rpsp/2010.v...
) alone or included only cardiovascular diseases in the analyses(88 Guimarães RM, Andrade SSCA, Machado EL, Bahia CA, Oliveira MM, Jacques FVL. Diferenças regionais na transição da mortalidade por doenças cardiovasculares no Brasil, 1980 a 2012. Rev Panam Salud Publica [Internet]. 2015 [cited 2019 Jan 20];37(2):83-9. Available from: https://www.scielosp.org/article/rpsp/2015.v37n2/83-89/
https://www.scielosp.org/article/rpsp/20...
-99 Brant LCC, Nascimento BR, Passos VMA, Duncan BB, Bensenõr IJM, Malta DC, et al. Variations and particularities in cardiovascular disease mortality in Brazil and Brazilian states in 1990 and 2015: estimates from the Global Burden of Disease. Rev Bras Epidemiol. 2017;20(Suppl 1):116-28. doi: 10.1590/1980-5497201700050010
https://doi.org/10.1590/1980-54972017000...
). At national level, a time-series study(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
) analyzed the trends of premature death for the four major CNCDs in each federal unit and found unfavorable scenarios between 2000 and 2011. Data from the Global Burden of Disease used in an ecological study(1010 Malta DC, França E, Abreu DMX, Perillo RD, Salmen MC, Teixeira RA, et al. Mortality due to noncommunicable diseases in Brazil, 1990 to 2015, according to estimates from the Global Burden of Disease study. Sao Paulo Med J. 2017;135(3):213-21. doi: 10.1590/1516-3180.2016.0330050117
https://doi.org/10.1590/1516-3180.2016.0...
) showed reduced rates of premature mortality for CSD, CRD and cancer and an increase in the rate for diabetes between 1995 and 2015.

The assessment of the risk of premature mortality is an important tool in the follow-up of CNCDs. Its indicators contribute to the planning and monitoring of actions to prevent and treat these diseases, as well as to assess the impact of health promotion policies and control of risk factors. The study of the variation of premature mortality rates allows to infer the effectiveness of public health policies, to indicate population groups at risk and redirect control and monitoring actions. The choice of the study period allows to evaluate the variation in the premature mortality rate before and after the publication of the Coping Plan of CNCDs, in 2011.

OBJECTIVE

To verify the variation of premature mortality rate (from 30 to 69 years) caused by the four main CNCDs (circulatory system diseases, cancer, diabetes and chronic respiratory diseases) in the Brazilian federal units and Federal District, from 2006 to 2014.

METHOD

Ethical aspects

Because these are databases with aggregated information, according to Resolution No. 510/2016 of the National Health Council, there is no need for approval of the Research Ethics Committee.

Design, location of the study and study period

This is time-series ecological study, with data from the Mortality Information System (SIM – Sistema de Informações sobre Mortalidade) of the Ministry of Health, according to the 26 Brazilian states and the Federal District.

Population, inclusion and exclusion criteria

Data from deaths of residents of Brazilian states by CNCDs — classified by the 10th Revision of the International Classification of Diseases as circulatory diseases (Codes I00-I99), malignant neoplasms (Codes C00-C97), respiratory system diseases (Codes J30-J98) and diabetes mellitus (Codes E10-E14) — in individuals aged 30 to 69 years, considered the causes of premature mortality, from 2005 to 2015. Cases with unknown gender and age data were excluded. The number of deaths was compensated for by ill-defined causes (Codes R00-R99). This procedure followed a previous protocol(1111 Oliveira GMM, Silva NASS, Klein CH. Balanced cardiovascular disease mortality from 1980 to 1999 - Brazil. Arq Bras Cardiol. 2005;85(5). doi: 10.1590/S0066-782X2005001800002
https://doi.org/10.1590/S0066-782X200500...
), considering the large number of deaths caused by ill-defined causes, especially in the states of the North and Northeast regions.

Analysis of results and statistics

For the grouping of the premature causes of mortality, specific mortality rates were calculated according to the age range per 100 thousand inhabitants. Data on the population of each state were obtained from the 2010 Census and from population estimates (2005 to 2009; 2011 and 2015) available on Datasus (www.datasus.gov.br). After this procedure, the rates were adjusted by direct method, using the 2010 Brazilian Census population as reference.

For smoothing the adjusted mortality rate, the centered mean was used in three terms. Thus, the period considered in this study was from 2006 to 2014. These rates were used to calculate the trend, with segmented linear regression, through the Joinpoint software, version 4.5.0.1 (Statistical Research and Applications Branch), provided by the North-American National Cancer Institute. This method allows to describe trends and identify the years in which change has occurred. From the inclination of the regression line, we estimated the percentage of annual change, its statistical significance and the 95% confidence interval (95% CI).

RESULTS

Figure 1 shows the premature mortality rates, due to the CNCD group, per 100,000 inhabitants for each state, per region of the country. At the beginning of the period, in the state of Rio de Janeiro, rates were the highest in Brazil. However, at the end of the study period, most states had rates close to 350 deaths per 100,000 inhabitants. The Federal District was the place with the lowest premature mortality rate at the end of the study (2014). The states of the North region were the ones that had the lowest death rate due to premature mortality at the beginning of the study period (2006).

Figure 1
Temporal trend of premature mortality rate by state, according to regions of Brazil, 2006-2014, Florianópolis, Brazil, 2018

Table 1 shows the annual percentage change in the premature mortality rate per federal unit per region from 2006 to 2014. In the South region, there was a significant reduction in the rate of premature mortality in the studied period: 2.9% per year in Paraná, 2.5% in Rio Grande do Sul and 2.8% in Santa Catarina. In the Southeast region, Minas Gerais showed two variations of premature mortality (2006 to 2008 and 2008 to 2014), which showed a significant decrease of 5.5% and 2.1% per year, respectively. Espírito Santo, Rio de Janeiro and São Paulo showed a significant reduction of 3.6%, 2.7% and 2.4% per year, respectively, from 2006 to 2014.

Table 1
Percentage of annual change in the premature mortality rate per federal unit and regions, Brazil, 2006-2014

In the Center-West, all states and the Federal District exceeded the target of 2% per year reduction in premature mortality due to all four major CNCDs. However, there were two variations of premature mortality (2006 to 2008 and 2008 to 2014) in all of them. Goiás and Mato Grosso had a significant reduction of variation in only one period (2008 to 2014), of 1.6% and 1.5% per year, respectively. The Federal District showed a reduction of 8.7% per year, from 2006 to 2008, and of 3.1% per year from 2008 to 2014. Mato Grosso do Sul showed a significant decrease of 6.48% per year between 2006 and 2008, and 2% per year between 2008 and 2014.

In the Northeast, the states of Bahia, Pernambuco, Sergipe, Alagoas, Ceará and Piauí showed a significant reduction in the premature mortality rate. However, only the first three met or exceeded the target of 2% reduction per year in premature mortality due to the four major CNCD. Alagoas and Paraíba showed a significant reduction in the premature mortality rate in the studied period, of 1.5% and 0.9%, respectively. The other states showed two variations of significant reduction, in distinct periods: Bahia, 1.3% per year, between 2008 and 2014; Ceará, 2.9% per year, from 2006 to 2010; Pernambuco, 4.3% per year, from 2006 to 2008, and 1.4% per year, between 2008 and 2014; Sergipe, 2.8% per year, from 2006 to 2010, and 1.6% per year from 2010 to 2014. Maranhão and Piauí showed stability in the premature mortality rate, with a significant decrease in it, of 1.5% and 3.1%, from 2006 to 2011 and 2006 to 2010, respectively, and an increase of 1.7% and 1% per year, from 2011 to 2014 and 2010 to 2014.

In the North region, only Roraima exceeded the target of reducing premature mortality by 2% per year by all four major CNCDs, with two mortality variations (2006 to 2008 and 2008 to 2014), with a significant reduction of 7% in the first period. There was a significant decrease in the states of Acre (1.1%) and Pará (1%) in the studied period. Amapá showed a significant increase of 1.5% per year from 2006 to 2014. The other states of the North region showed two variations in the premature mortality rate: Amazonas reduced it significantly by 1.7% per year from 2006 to 2010; Rondônia showed two variations (2006 to 2011 and 2011 to 2014), with a significant reduction of mortality rates only in the second period, 5% per year; Tocantins had two variations, only one with a significant reduction of 2.5% from 2009 to 2014.

DISCUSSION

All the states of the South, Southeast and Center-West regions, as well as the states of Bahia, Pernambuco, Sergipe and Roraima, reached or exceeded the goal of reducing 2% per year in premature mortality caused by all four major CNCDs. Maranhão and Rio Grande do Norte showed stability in this rate.

The results indicated that the overall goal of reducing the premature mortality rate due to the four main CNCDs is being achieved in most Brazilian states. Compared to the world scenario, deaths due to CNCDs for the age group of 30 to 69 years tend to be reduced in the next years(1212 Peto R, Lopez AD, Norheim OF. Halving premature death. Science. 2014;345(6202):1272. doi: 10.1126/science.1259971
https://doi.org/10.1126/science.1259971...
). This progress is also favorable to achieve the United Nations Organization’s Goals for Sustainable Development in 2015, which provide for a one-third reduction in premature mortality by CNCDs through prevention and treatment by 2030(1313 Organização das Nações Unidas (OMS). Centro Regional de Informação das Nações Unidas (UNRIC). Guia sobre desenvolvimento sustentável: 17 objetivos para transformar o nosso mundo [Internet]. Bruxelas: UNRIC; 2015 [cited 2019 Jan 21]. Available from: https://www.unric.org/pt/images/stories/2016/ods_2edicao_web_pages.pdf
https://www.unric.org/pt/images/stories/...
). This reduction comes from the implementation of public health policies to prevent and control chronic diseases, as well as their risk factors(1010 Malta DC, França E, Abreu DMX, Perillo RD, Salmen MC, Teixeira RA, et al. Mortality due to noncommunicable diseases in Brazil, 1990 to 2015, according to estimates from the Global Burden of Disease study. Sao Paulo Med J. 2017;135(3):213-21. doi: 10.1590/1516-3180.2016.0330050117
https://doi.org/10.1590/1516-3180.2016.0...
,1414 Malta DC, Silva Jr JB. Plano de ações estratégicas para o enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil após três anos de implantação, 2011-2013. Epidemiol Serv Saúde. 2014;23:389-95. doi: 10.5123/S1679-49742014000300002
https://doi.org/10.5123/S1679-4974201400...
), such as smoking, alcohol consumption, unhealthy diet, physical inactivity and environmental carcinogens(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
,1515 Malta DC, Oliveira TP, Santos MAS, Andrade SSCA, Silva MMA. Progress with the Strategic Action Plan for Tackling Chronic Non-Communicable Diseases in Brazil, 2011-2015. Epidemiol Serv Saúde. 2016;25(2). doi: 10.5123/s1679-49742016000200016
https://doi.org/10.5123/s1679-4974201600...
-1616 Malta DC, Bernal RTI, Mascarenhas MDM, Silva MMA, Szwarcwald CL, Morais Neto OL. Alcohol consumption and driving in Brazilian capitals and Federal District according to two national health surveys. Rev Bras Epidemiol. 2015;18(Suppl 2):214-23. doi: 10.1590/1980-5497201500060019
https://doi.org/10.1590/1980-54972015000...
). These actions were recommended by the WHO(1717 World Health Organization (WHO). Follow-up to the political declaration of the high-level meeting of the General Assembly on the prevention and control of non-communicable diseases [Internet]. Geneva: WHO; 2013 [cited 2018 Jul 27]. Available from: http://apps.who.int/gb/ebwha/pdf_files/wha66/a66_r10-en.pdf
http://apps.who.int/gb/ebwha/pdf_files/w...
) and proposed in the Strategic Action Plan for Coping with Chronic Noncommunicable Diseases in Brazil”(1010 Malta DC, França E, Abreu DMX, Perillo RD, Salmen MC, Teixeira RA, et al. Mortality due to noncommunicable diseases in Brazil, 1990 to 2015, according to estimates from the Global Burden of Disease study. Sao Paulo Med J. 2017;135(3):213-21. doi: 10.1590/1516-3180.2016.0330050117
https://doi.org/10.1590/1516-3180.2016.0...
,1414 Malta DC, Silva Jr JB. Plano de ações estratégicas para o enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil após três anos de implantação, 2011-2013. Epidemiol Serv Saúde. 2014;23:389-95. doi: 10.5123/S1679-49742014000300002
https://doi.org/10.5123/S1679-4974201400...
).

Tobacco use and alcohol consumption are responsible for a number of health problems, including liver disease, cancer and mental disorders, which creates costs for society with health care, absenteeism at work and loss of productivity(1818 World Health Organization (WHO). Global strategy to reduce the harmful use of alcohol [Internet]. Geneva: WHO; 2010 [cited 2018 Jul 27]. Available from: http://www.who.int/substance_abuse/msbalcstrategy.pdf
http://www.who.int/substance_abuse/msbal...
). The implementation of the National Tobacco Control Policy adopted regulatory measures to control smoking and the marketing of cigarettes through advertising campaigns, minimum sale price and increased taxation, as well as smoke-free environments with sanitary inspection, and broader treatment of smokers in SUS(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
,1515 Malta DC, Oliveira TP, Santos MAS, Andrade SSCA, Silva MMA. Progress with the Strategic Action Plan for Tackling Chronic Non-Communicable Diseases in Brazil, 2011-2015. Epidemiol Serv Saúde. 2016;25(2). doi: 10.5123/s1679-49742016000200016
https://doi.org/10.5123/s1679-4974201600...
).

The incentive to healthy life habits, in relation to physical activity and food(1919 Malta DC, Morais Neto OL, Silva MMA, Rocha D, Castro AM, Reis AAC et al. National Health Promotion Policy (PNPS): chapters of a journey still under construction. Ciênc Saúde Coletiva [Internet]. 2016 [cited 2018 Jul 27];21(6):1683-94. doi: 10.1590/1413-81232015216.07572016
https://doi.org/10.1590/1413-81232015216...
), has also contributed to the decline of premature mortality. The Health Academy Program, which has invested in bodily activities together with the community(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
,1515 Malta DC, Oliveira TP, Santos MAS, Andrade SSCA, Silva MMA. Progress with the Strategic Action Plan for Tackling Chronic Non-Communicable Diseases in Brazil, 2011-2015. Epidemiol Serv Saúde. 2016;25(2). doi: 10.5123/s1679-49742016000200016
https://doi.org/10.5123/s1679-4974201600...
), had an impact on the increase in physical activity during free time, from 30.3% in 2009 to 37.6% in 2016, in the capitals of the country. However, the prevalence of practice decreases with advancing age, being more frequent among young people from 18 to 24 years(2020 Ministério da Saúde (BR). Vigitel Brasil 2016: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2016 [Internet]. Brasília; 2017 [cited 2018 Jul 29]. Available from: http://portalarquivos2.saude.gov.br/images/pdf/2018/marco/02/vigitel-brasil-2016.pdf
http://portalarquivos2.saude.gov.br/imag...
).

Governmental projects, such as the Food Guide for the Brazilian Population(2121 Ministério da Saúde (BR). Guia alimentar para a população brasileira: promovendo a alimentação saudável [Internet]. Brasília; 2008 [cited 2018 jul. 29]. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2008.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
) and Brazilian Regional Foods(2222 Ministério da Saúde (BR). Alimentos Regionais Brasileiros [Internet]. Brasília; 2015 [cited 2018 jul. 29]. Available from: http://189.28.128.100/dab/docs/portaldab/publicacoes/livro_alimentos_regionais_brasileiros.pdf
http://189.28.128.100/dab/docs/portaldab...
), encourage actions to promote the regular consumption of regional and in natura foods and the reduction of soft drinks and sugary beverages, in order to halt the development of CNCD and obesity. In addition, public strategies for the reduction of ultraprocessed industrialized foods, with excess sugar, fat and sodium(1515 Malta DC, Oliveira TP, Santos MAS, Andrade SSCA, Silva MMA. Progress with the Strategic Action Plan for Tackling Chronic Non-Communicable Diseases in Brazil, 2011-2015. Epidemiol Serv Saúde. 2016;25(2). doi: 10.5123/s1679-49742016000200016
https://doi.org/10.5123/s1679-4974201600...
,2020 Ministério da Saúde (BR). Vigitel Brasil 2016: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2016 [Internet]. Brasília; 2017 [cited 2018 Jul 29]. Available from: http://portalarquivos2.saude.gov.br/images/pdf/2018/marco/02/vigitel-brasil-2016.pdf
http://portalarquivos2.saude.gov.br/imag...
) have been frequent in the national media. Despite these actions, in the last ten years, diabetes increased 61.8% and hypertension 14.2%(2020 Ministério da Saúde (BR). Vigitel Brasil 2016: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2016 [Internet]. Brasília; 2017 [cited 2018 Jul 29]. Available from: http://portalarquivos2.saude.gov.br/images/pdf/2018/marco/02/vigitel-brasil-2016.pdf
http://portalarquivos2.saude.gov.br/imag...
).

To reduce morbidity and mortality due to cancer, the Ministry of Health has directed national surveillance, early diagnosis and control of the major neoplasms (breast cancer and cervix) in all regions(1111 Oliveira GMM, Silva NASS, Klein CH. Balanced cardiovascular disease mortality from 1980 to 1999 - Brazil. Arq Bras Cardiol. 2005;85(5). doi: 10.1590/S0066-782X2005001800002
https://doi.org/10.1590/S0066-782X200500...
). A study with previous results from the National Health Survey showed improvement in the screening and prevention of cervical cancer (Pap smear) in women aged 25 to 64 years, jumping from 78% in 2008 to 82.9% in 2013. In the Brazilian capitals, improvements were observed in mammography coverage, which in 2008 was 54% in women aged 50-69 years, increasing to 73.4% in 2010, and rising to 78% in 2013(1414 Malta DC, Silva Jr JB. Plano de ações estratégicas para o enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil após três anos de implantação, 2011-2013. Epidemiol Serv Saúde. 2014;23:389-95. doi: 10.5123/S1679-49742014000300002
https://doi.org/10.5123/S1679-4974201400...
).

Interventions for care delivery and health promotion in the Unified Health System may be boosting the achievement of the objectives proposed by the Strategic Action Plan for Coping with Chronic Noncommunicable Diseases in Brazil(1010 Malta DC, França E, Abreu DMX, Perillo RD, Salmen MC, Teixeira RA, et al. Mortality due to noncommunicable diseases in Brazil, 1990 to 2015, according to estimates from the Global Burden of Disease study. Sao Paulo Med J. 2017;135(3):213-21. doi: 10.1590/1516-3180.2016.0330050117
https://doi.org/10.1590/1516-3180.2016.0...
,1414 Malta DC, Silva Jr JB. Plano de ações estratégicas para o enfrentamento das Doenças Crônicas Não Transmissíveis no Brasil após três anos de implantação, 2011-2013. Epidemiol Serv Saúde. 2014;23:389-95. doi: 10.5123/S1679-49742014000300002
https://doi.org/10.5123/S1679-4974201400...
). Expansion of primary care, improved delivery of health services, and distribution of drugs to the population at risk (such as cardiovascular diseases) are strategies that have shown a reduction in mortality by the four CNCDs(2323 Ribeiro AL, Duncan BB, Brant LC, Lotufo PA, Mill JG, Barreto SM. Cardiovascular health in Brazil: trends and perspectives. Circulation. 2016;133(4):422-33. doi: 10.1161/CIRCULATIONAHA.114.008727
https://doi.org/10.1161/CIRCULATIONAHA.1...
). In this sense, after the implementation of the integral health care model, with the expansion of primary care by the Family Health Strategy, positive health impacts were observed in the Brazilian population(2424 Souza MFM, Malta DC, França EB, Barreto ML. Changes in health and disease in Brazil and its States in the 30 years since the Unified Healthcare System (SUS) was created. Ciênc Saúde Coletiva. 2018;23(6):1737-50. doi: http://dx.doi.org/10.1590/1413-81232018236.04822018
http://dx.doi.org/10.1590/1413-812320182...
). However, the prevalence of people living with CNCDs has compromised the performance of primary care professionals who do not review their practices and maintain care centralized in the disease and in the biomedical model. In this aspect, health promotion, by prioritizing the expanded health-disease concept, shows a cost-effective population intervention in confronting CNCDs, with intersectoral actions and community empowerment(2525 Becker RM, Heidemann ITSB, Meirelles BHS, Costa MFBNA, Antonini FO, Durand MK. Nursing care practices for people with Chronic Noncommunicable Diseases. Rev Bras Enferm [Internet]. 2018;71(Suppl 6):2643-9. [Thematic Issue: Good practices in the care process as the centrality of the Nursing] doi: http://dx.doi.org/10.1590/0034-7167-2017-0799
http://dx.doi.org/10.1590/0034-7167-2017...
).

The development of these strategies created conditions to reduce premature mortality in Brazil, even though there are still regional differences(99 Brant LCC, Nascimento BR, Passos VMA, Duncan BB, Bensenõr IJM, Malta DC, et al. Variations and particularities in cardiovascular disease mortality in Brazil and Brazilian states in 1990 and 2015: estimates from the Global Burden of Disease. Rev Bras Epidemiol. 2017;20(Suppl 1):116-28. doi: 10.1590/1980-5497201700050010
https://doi.org/10.1590/1980-54972017000...
). Most of the states of the Northeast (Alagoas, Ceará, Paraíba and Piauí) and North (Acre, Amazonas, Pará, Rondônia and Tocantins) regions, despite having reduced the rate, did not reach the reduction target. Only Maranhão and Rio Grande do Norte showed stability of the premature mortality rate by all four major CNCDs, while Amapá was the only state that showed an increase in it over the study period. Despite stability, premature mortality rates are high in Maranhão and Rio Grande do Norte and should be following the reduction flow to reach the predicted target. This unfavorable scenario in the North and Northeast shows differences in living conditions that favor risk factors, and the need to intensify regional and national surveillance and invest in projects for locoregional prevention and control of NCDs(99 Brant LCC, Nascimento BR, Passos VMA, Duncan BB, Bensenõr IJM, Malta DC, et al. Variations and particularities in cardiovascular disease mortality in Brazil and Brazilian states in 1990 and 2015: estimates from the Global Burden of Disease. Rev Bras Epidemiol. 2017;20(Suppl 1):116-28. doi: 10.1590/1980-5497201700050010
https://doi.org/10.1590/1980-54972017000...
). In spite of this, the Northeast has the highest coverage of health services by SUS (Tocantins > 90%, Paraíba and Piauí > 80%)(2626 Stopa SR, Malta DC, Monteiro CN, Szwarcwald CL, Goldbaum M, Cesar CLG. Acesso e uso de serviços de saúde pela população brasileira, Pesquisa Nacional de Saúde 2013. Rev Saúde Pública. 2017;51(Supl. 1):3s. doi: http://dx.doi.org/10.1590/s1518-8787.2017051000074
http://dx.doi.org/10.1590/s1518-8787.201...
), with most of the population registered in family health units(2727 Malta DC, Santos MAS, Stopa SR, Vieira JEB, Melo EA, Reis AAC. Family Health Strategy Coverage in Brazil, according to the National Health Survey, 2013. Ciênc Saúde Coletiva. 2016;21(2):327-38. doi: 10.1590/1413-81232015212.23602015
https://doi.org/10.1590/1413-81232015212...
). Considering that primary health care can reduce major CNCDs in the population, high coverage in these regions has not been reflected in policies to address these diseases.

The increase in mortality rates in Amapá over the studied period can be explained by the lack of access to medical attention, lack of medicines, poor infrastructure of primary health units and insufficient investment in health and education(2828 Costa DJS, Pureza DY, Mielke GI. Prevalence of physical inactivity and parent's social support in adolescents from Macapá-Amapá. Rev Bras Ativ Fís Saúde. 2017;22(6):533-9. doi: 10.12820/rbafs.v.22n6p533-39
https://doi.org/10.12820/rbafs.v.22n6p53...
). Also contributing to this scenario are the greater exposure to risk factors, such as physical inactivity, due to high air humidity and high thermal sensation(2828 Costa DJS, Pureza DY, Mielke GI. Prevalence of physical inactivity and parent's social support in adolescents from Macapá-Amapá. Rev Bras Ativ Fís Saúde. 2017;22(6):533-9. doi: 10.12820/rbafs.v.22n6p533-39
https://doi.org/10.12820/rbafs.v.22n6p53...
) and inadequate eating habits — possibly due to lack of knowledge and misuse of biome potentials(2929 Alencar FH, Yuyama LKO, Varejão MJC, Marinho HA. Determinantes e consequências da insegurança alimentar no Amazonas: a influência dos ecossistemas. Acta Amaz. 2007;37:413-8. doi: 10.1590/S0044-59672007000300012
https://doi.org/10.1590/S0044-5967200700...
), despite the diversity of fish and fruits in the region — and the high consumption of processed foods(3030 Silva RJ, Paula ME, Garavello E, Nardoto GB, Mazzi EA, Martinelli LA. Factors influencing the food transition in riverine communities in the Brazilian Amazon. Environ Dev Sustain. 2017;19(3):1087-102. doi: 10.1007/s10668-016-9783-x
https://doi.org/10.1007/s10668-016-9783-...
). A study with data from the National Health Survey showed that less than 35% of adults regularly consume fruits, vegetables and beans, although 76.9% consume fish regularly(3131 Jaime PC, Stopa SR, Oliveira TP, Vieira ML, Szwarcwald CL, Malta DC. Prevalence and sociodemographic distribution of healthy eating markers, National Health Survey, Brazil 2013. Epidemiol Serv Saúde. 2015;24(2). doi: 10.5123/S1679-49742015000200009
https://doi.org/10.5123/S1679-4974201500...
).

The indicator of premature mortality combines different health problems, which evolve in a differentiated way, and the attention to the subcomponents is fundamental, especially when analyzed per federal unit. New care strategies in the different health care management areas require qualified, sound and timely information so that the indicator is effective and, thus, prioritizes the prevention and treatment of the diseases that cause more deaths in each region. In this sense, it would be worth highlighting the warning so that the states that did not reach the target be prioritized and that the monitoring of the coping plan be more supported(33 Alves CG, Morais Neto OL. Trends in premature mortality due to chronic non-communicable diseases in Brazilian federal units. Ciên Saúde Coletiva. 2015;20(3):641-54. doi: 10.1590/1413-81232015203.15342014.
https://doi.org/10.1590/1413-81232015203...
).

Limitations of the study

The study has limitations regarding the quality of data recorded by the SIM. The exposed and calculated data may be influenced by the quality of the information recorded in the death certificates, even after compensation to correct this problem. However, because the data are publicly available, the analysis is not annulled, nor is the contribution of the results to the knowledge of the population’s health situation and health surveillance. Another limitation is the comparison with other studies, since there are few that analyze the SIM data by the set of four main CNCDs; in general, the components of CNCDs are addressed separately.

Contributions to the field of nursing, health and public policy

The surveillance of premature mortality rates is an important tool to plan care actions for people with CNCD and to monitor their health conditions. Monitoring the mortality data allows the nurse to plan care actions and practices compatible with the population reality, as well as to redirect nursing care to prevent risks and deaths at all levels of health care. The results of this study reinforce the correct and positive direction of the public policies of the Plan of Action of Containment, in consonance with the terms of reduction of the premature mortality rate defined by the Objectives of Sustainable Development.

CONCLUSION

These findings allow us to affirm that the trend of premature mortality for the four major chronic diseases decreased, throughout the studied period, in most of the federal units of Brazil, except for the states of Maranhão (2011 to 2014), Piauí (2010 to 2014) and Amapá (2006 to 2014). The reduction in premature mortality rates was more pronounced in the states of the South and Southeast regions, and less significant in the North and Northeast.

Since most states have been reducing their rates, and some regions/states have achieved the 2% reduction target per year, new targets could be proposed in order to further reduce this health situation that causes restrictions to a productive age group. As for the increase in premature mortality rates in Maranhão, Piauí and Amapá, it is recommended to treat these states as a priority, especially with the implementation of projects that stimulate the effective reduction of CNCDs.

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Publication Dates

  • Publication in this collection
    21 Oct 2019
  • Date of issue
    Nov-Dec 2019

History

  • Received
    29 Aug 2018
  • Accepted
    20 Feb 2019
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