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Article

Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019

by
Antonio de Padua Mansur
1,*,
Desidério Favarato
2,
Célia Maria Cassaro Strunz
3,
Solange Desirée Avakian
4,
Antonio Carlos Pereira-Barretto
1,
Edimar Alcides Bocchi
5 and
Luiz Antonio Machado César
6
1
Serviço de Prevencao, Cardiopatia na Mulher e Reabilitação Cardiovascular, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
2
Unidade Clinica de Aterosclerose, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
3
Laboratorio de Analises Clinicas, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
4
Unidade Clínica de Valvopatias, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
5
Unidade Clinica de Insuficiencia Cardiaca, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
6
Unidade Clinica de Coronariopatias Cronicas, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-900, SP, Brazil
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(19), 12827; https://doi.org/10.3390/ijerph191912827
Submission received: 12 September 2022 / Revised: 28 September 2022 / Accepted: 29 September 2022 / Published: 7 October 2022
(This article belongs to the Special Issue Dietary Fat and Noncommunicable Diseases)

Abstract

:
Background: cardiovascular diseases (CVD) are Brazil’s leading causes of death in women and men. This study analyzed age-adjusted death rate (DRaj) trends from all causes of death (ACD), CVD, ischemic heart disease (IHD), and stroke in women and men aged 35 to 74 years from 1996 to 2019. Methods: We analyzed DRaj trends for all causes of death (ACD), CVD, IHD, and stroke. Data were from the Ministry of Health mortality database. Joinpoint Regression Program™ performed trend analysis and adjustments in death rates. Average annual percentage change (AAPC) determined the intensity of changes. Results: In women, DRaj reduced for ACD (AAPC = −1.6%); CVD (AAPC = −2.6%); IHD (AAPC = −1.9%); and stroke (AAPC = −4.6%) (p < 0.001 for all). In men, ACD reduced from 1996 to 2004 (AAPC = −0.9%; p < 0.001), from 2012 to 2019 (AAPC = −1.9%; p < 0.001), and unchanged from 2004 to 2012; CVD (AAPC = −2.1%); IHD (AAPC = −1.5%); stroke (AAPC = −4.9%) (p < 0.001 for all) reduced from 1996 to 2019. From 1996 to 2019, the male/female ratio for ACD remained unchanged. CVD increased from 1.58 to 1.83, IHD from 1.99 to 2.30, and stroke from 1.52 to 1.83. Conclusion: ACD, CVD, IHD, and stroke were reduced more significantly in women, and the ratio of CVD, IHD, and CVD in men and women increased more in men. Future studies will be needed to determine the main factors responsible for a better outcome in women.

1. Introduction

Cardiovascular diseases (CVD) are currently the leading cause of death worldwide and in the Brazilian population [1]. The age-standardized death rate from CVD, IHD, and stroke decreased by 10.3%, 9.7%, and 13.6% worldwide, respectively, from 2007 to 2017. The most significant decrease in percentage change occurred in the highest-income regions, probably due to improvements in prevention policies and health care accessibility. IHD and stroke accounted for almost 85% of all cardiovascular deaths, and the death rate was higher in men than in women, except in the age group over 80 years [2]. In South America, the leading causes of death from noncommunicable diseases were attributed to CVD (31.1%), cancer (30.6%), and respiratory diseases (8.6%), with a higher CVD death rate in men than in women [3]. In Brazil, since 1986, there has been a gradual reduction in the death rate from these diseases [4]. The decline of stroke was gradual and persistent. However, IHD in women and men had a period of stagnation in the death rate between 2007 and 2012 [5], and the same deceleration trend was observed for IHD mortality in the USA [6]. After this period, the IHD death rate in Brazil returned to its downward trend. The decline in IHD and stroke death rate is not well known yet. However, the main hypotheses are the improved care of primary risk factors with access to free or subsidized drugs for hypertension, diabetes, and dyslipidemia, and better access to public hospitals with improved guideline-based care for acute cardiovascular events [7]. Also, some Brazilian government policies significantly reduced tobacco consumption [8] and favored the increasing adoption of a healthy diet and physical activity by the population. Nevertheless, we are observing an increase in the prevalence of obesity and diabetes [9]. In 2016, 17% of Brazilians were obese [9]. The changes in the prevalence of these risk factors may impact future cardiovascular morbidity and mortality. It is well known that atherosclerosis, the primary pathological process responsible for cardiovascular disease, manifests differently in women and men. Women have up to ten years of advantage over men in the incidence of CVD [10]. The estrogen and its derivatives present in the premenopausal period probably mediate the lower incidence of CVD in women. The endogenous estrogen promotes vascular health through beneficial genomic and nongenomic mechanisms. A recent study on the Brazilian population aged 35 to 74 years between 1996 and 2017 showed that the age-adjusted death rate (DRaj) from CVD corresponded, on average, to 31% of deaths from all causes, but the death rate from CVD, IHD, and stroke was higher in men than in women [11]. Between 1996 and 2017, we observed a 38% reduction in CVD mortality in the Brazilian population. The reduction percentage was more pronounced in women than in men, respectively, at 41% and 35%, similar to the results observed in the Global Burden of Disease Study-2017 [12]. In Brazil, women had the lowest death rate and the highest percentage of reduction in CVD, IHD, and stroke. The same result was observed, for example, in the USA [6,13]. CVD mortality in women has decreased globally in most developed countries in the last two decades. However, mortality remained unchanged in countries with a low sociodemographic index [14]. Similarly, we do not have more recent data on trends in death rates and mortality in women and men in our population. The objective of this study was to update and analyze the trends in DRaj for the 35–74 age group and the average annual percentage change (AAPC) for all causes of death, CVD, IHD, and stroke, in women and men in the Brazilian population between 1996 and 2019. These sex-related analyses may improve public policies to reduce the death rate from CVD even more in Brazil.

2. Materials and Methods

We analyzed the trends of all causes of death (ACD), CVD, IHD, and stroke in men and women in Brazil from 1996 to 2019. We analyzed the crude death rate per 100,000 population for each five-year age group between 35 and 74 years. We calculated the DRaj for the 35–74 age group per 100,000 population for the study period (1996–2019) by the direct method using the World Health Organization (WHO) 2000 world standard population. We obtained the mortality data from the Vital Statistics of Health Information on the DATASUS page of the Ministry of Health’s online mortality database [15]. The causes of death were classified by the 10th revision of the Classification International on Disease. We grouped the CVD under codes I00 to I99, IHD under codes I20 to I25, and stroke under codes I60 to I69. The study does not require analysis by the Ethics Committee, as the mortality data were obtained from a public website and without identifying the individuals.

Statistical Analysis

We used the statistical program Joinpoint Regression Program version 4.7.0.0 from the National Cancer Institute, Division of Cancer Control and Population Sciences (Bethesda, Maryland, USA), to analyze trends in the age-adjusted death rate from 35 to 74 years [16]. The junction point analysis or segmented regression modeling was used to identify the years (independent variable) in which there were significant changes in the mortality rate (dependent variable) from 1996 to 2019. This method identifies joinpoints connecting distinct line segments, thus characterizing changes over time. The AAPC determined the intensity of the changes in the death rate. Comparisons of the linear regression line slopes (CLRLS) were analyzed in Microsoft Excel 2010 using the t statistic and two-tailed t distribution [17]. The necessary assumptions of linear regression analysis were verified, such as linearity, homoscedasticity, error independence, non-multicollinearity, and low exogeneity. Statistical significance was for p-values < 0.05.

3. Results

The DRaj, the AAPC, and the junction points (Jp) by ACD, CVD, IHD, and stroke, in men and women are shown in Table 1 and Figure 1.
The DRaj for ACD, CVD, IHD, and stroke were higher in men. ACD decreased from 1996 to 2019 (0 Jp; AAPC = −1.6%; p < 0.001). ACD in men reduced from 1996 to 2004 (AAPC = −0.9%; p < 0.001), remained unchanged from 2004 to 2012, and reduced from 2012 to 2019 (3 Jp; AAPC = −1.9%; p < 0.001). In women, ACD decreased from 1996 to 2019 (0 Jp; AAPC = −1.6%; p < 0.001). The DRaj for total CVD, CVD in men, and CVD in women reduced and the AAPC were, respectively, −2.4% (p < 0.001), −2.1% (p < 0.001) and −2.6% (p < 0.001). IHD and stroke declined in women and men from 1996 to 2019, but stroke reduction in men was more significant from 1996 to 2001 than from 2001 to 2019 (p < 0.001).
The slopes of the regression line for the age group 35 to 74 years, in women and men, for ACD, CVD, IHD and stroke showed a significant reduction in the death rate from these diseases from 1996 to 2019 in both sexes (Figure 2).
The CLRLS between women and men showed a more significant reduction in the death rate from ACD, CVD, IHD, and stroke in men (p < 0.0001 for all).
The percentual proportion of total CVD from ACD reduced by 15% from 1996 to 2019, respectively, 33% to 28%; in men, it was 32% to 29%, with a reduction of 9%, and in women, it was 35% to 28%, with a decrease of 22% (CLRLS: men vs. women; p = 0.127). In men, the proportion of IHD from CVD increased by 14% between 1996 and 2019, respectively, 35% and 41%, and in women, it was 28% and 33%, with an increase of 15% (CLRLS: men vs. women; p = 0.146). In men, the proportion of stroke from total CVD was 23% and 14% between 1996 and 2019, with a decrease of 37%. It was 24% and 15% in women, with a reduction of 39% (CLRLS: men vs. women: p = 0.589) (Table 2).
The age-adjusted male/female mortality ratio for CVD, IHD, and stroke increased from 1.59 to 1.84, 2.00 to 2.30, and 1.53 to 1.83 but remained unchanged for ACD from 1996 to 2019, respectively (Figure 3).
Crude death rates per 100,000 inhabitants for five-year age groups between 35 and 74 years, the percentage change in rates (1996–2019), and AAPC for ACD, CVD, IHD, and stroke, in the whole population, in men and women, are shown in Table 3 and Table 4.
There was a significant reduction in the crude death rate for ACD, CVD, IHD, and stroke from 1996 to 2019 (p < 0.001) in the total population, in men and women. The reduction in the crude death rate was more significant for CVD than for ACD (p < 0.001) and for stroke compared to IHD (p < 0.001) for the total population, in women and men. However, the detailed Jp analysis of crude mortality rates for CVD, IHD, and stroke in the whole population, in women and men, remained unchanged for some age groups in specific periods. For example, the crude death rate for the entire population aged 40–44, 50–54, and 65–69 years remained unchanged for CVD from 2005 to 2008, 2014 to 2019, and 2004 to 2008, respectively. In Supplementary Materials, these data for the whole population, women, and men, are shown in Tables S1–S3.

4. Discussion

This study showed a significant reduction in the age-adjusted death rate for ACD, CVD, IHD, and stroke in women and men. The percentage reduction in CVD, IHD, and stroke was more significant in women than men. These results were similar to those observed globally [12]. CVD decreased from 1990 onwards for all regions of the world, except for Sub-Saharan Africa and Oceania, where no significant change occurred, although in Central Asia, conversely, there was an increase of CVD mortality by almost 10% [18]. Globally, CVD in women in 2019 was estimated at 204 deaths per 100,000 population, with a 35.1% reduction since 1990 [19]. Our data showed that the death rate was 149 deaths per 100,000 population, with a decrease of 45% since 1996. The USA had the same decline in the CVD death rate. There was a 15% reduction in the CVD death rate from 2007 to 2017. IHD decreased, respectively, in men and women by 18% and 22%, and stroke by 17% in both sexes from 2006 to 2016. In 2016, IHD and stroke deaths were higher in men than women. [20]. Several European countries observed the same reduction in CVD mortality [21]. In the European Society of Cardiology member countries, CVD corresponded to 47% and 39% of all deaths in women and men, respectively. IHDs were responsible for 38% of CVD deaths in women and 44% in men. Stroke was the second most common cause of CVD deaths, accounting for 26% of all CVD deaths in women and 21% in men. We observed similar percentages in our study for IHD, accounting for 33% of CVD deaths in women and 41% in men in 2019. However, CVD deaths were lower in the Brazilian population than in the European population, probably because of the high number of older people in the European population. Likewise, the age group analyzed in our study, between 35 and 74 years, excluded the older population aged more than 75 years.
CVD, IHD, and stroke proportions were consistently higher in men than women. We observed an increasing proportion of death from IHD compared to stroke and an increase in the proportion of CVD, IHD, and stroke in men compared to women. We also observed increasing participation in the death rate from IHD and stroke in men. The IHD was always at least twice as high in men for the age group from 35 to 74 years. In this age group, at least three hypotheses justify men’s increase in IHD and stroke. The first hypothesis is the lower prevalence of primary risk factors for CVD in women aged 35 to 74 years. The hypertension prevalence in women in this age group was lower than in men, despite the global rise in hypertension. Undiagnosed hypertension and the percentage of treated hypertension were also higher in men than women. In Latin America and the Caribbean, 35% of women and 23% of men with hypertension had their blood pressure under control in 2019 [22]. Likewise, risk factors, dyslipidemia, and smoking were less prevalent in women [23,24,25]. Conversely, diabetes was more prevalent in women, and its incidence has increased in recent years. This fact may impact future mortality from chronic degenerative diseases [26]. Second, the more significant reduction of deaths due to ill-defined causes, which are more prevalent in men, may also justify the increase in IHD and stroke [27]. Third, compared to men, women have natural protection of 7 to 10 years in the incidence of CVD, probably related to estrogen presence in the premenopausal period [10]. Therefore, CVD occurs later in women, and the adjustment of CVD death rates for the age group 35 to 74 years will include a group of women with a lower incidence of IHD and stroke compared to the age groups over 75 years.

Study Limitations

Despite the improvement in mortality data in Brazil, the main limitation of this study remains the low quality of death certificates, exemplified by errors related to diagnosis and accuracy, deaths associated with unknown causes, and errors in data entry. The number of death certificates with diagnoses based on symptoms, signs, and abnormal clinical and laboratory findings indirectly indicates data quality limitations. Despite the progressive improvement, such certificates are still significant in Brazil’s northeast, north, and center-west regions. Likewise, validation studies of mortality data are unavailable in most states and cities in the country.

5. Conclusions

We observed a significant reduction in the death rate in Brazil due to CVD, IHD, and stroke for women and men. There was also a growing prevalence of IHD and stroke in men more than women. These findings are essential for public health policies, as they showed that despite the downward trend in CVD in women and men, these diseases continue to be one of the leading causes of death in the Brazilian population, with more intensity in men than women. Therefore, governmental policies should prioritize CVD primary and secondary prevention for women and men to decrease the CVD death rate by facilitating the population’s access to health services for adequate diagnosis and treatment. Likewise, we should encourage the population’s adherence to a healthy life and the medications recommended by current guidelines for preventing and treating CVD.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph191912827/s1, Table S1: The number of joinpoints, and the mean annual percentage change (AAPC) for cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in men and women from 1996 to 2019.; Table S2: The number of joinpoints, and the mean annual percentage change (AAPC) for cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in men from 1996 to 2019.; Table S3: The number of joinpoints, and the mean annual percentage change (AAPC) for cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in women from 1996 to 2019.

Author Contributions

Conceptualization, A.P.M. and D.F.; methodology, A.P.M. and D.F.; data curation, A.P.M. and D.F.; writing—original draft preparation, A.P.M. and D.F.; writing—review and editing, A.P.M., D.F., C.M.C.S., S.D.A., A.C.P.B., E.A.B. and L.A.M.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Patient consent was waived because the mortality data were obtained from a public website without identifying the individuals.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017, 390, 1211–1259. [Google Scholar] [CrossRef] [Green Version]
  2. GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1736–1788. [Google Scholar] [CrossRef] [Green Version]
  3. Lopez-Jaramillo, P.; Joseph, P.; Lopez-Lopez, J.P.; Lanas, F.; Avezum, A.; Diaz, R.; Yusuf, S. Risk factors, cardiovascular disease, and mortality in South America: A PURE substudy. Eur. Heart J. 2022, 43, 2841–2851. [Google Scholar] [CrossRef]
  4. Souza, M.F.M.; Alencar, A.P.; Malta, D.C.; Moura, L.; Mansur, A.P. Serial temporal analysis of ischemic heart disease and stroke death risk in five regions of Brazil from 1981 to 2001. Arq. Bras. Cardiol. 2006, 87, 735–740. [Google Scholar]
  5. Mansur, A.P.; Favarato, D. Trends in Mortality Rate from Cardiovascular Disease in Brazil, 1980–2012. Arq. Bras. Cardiol. 2016, 107, 20–25. [Google Scholar] [CrossRef]
  6. Shah, N.S.; Molsberry, R.; Rana, J.S.; Sidney, S.; Capewell, S.; O’Flaherty, M.; Carnethon, M.; Lloyd-Jones, D.M.; Khan, S.S. Heterogeneous trends in burden of heart disease mortality by subtypes in the United States, 1999–2018: Observational analysis of vital statistics. BMJ 2020, 370, m2688. [Google Scholar] [CrossRef]
  7. Emmerick, I.C.M.; Nascimento, J.M.; Pereira, M.A.; Luiza, V.L.; Ross-Degnan, D. Farmácia Popular Program: Changes in geographic accessibility of medicines during ten years of a medicine subsidy policy in Brazil. J. Pharm. Policy Pract. 2015, 8, 10. [Google Scholar] [CrossRef] [Green Version]
  8. Levy, D.; Almeida, L.M.; Szklo, A. The Brazil SimSmoke policy simulation model: The effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation. PLoS Med. 2012, 9, e1001336. [Google Scholar] [CrossRef] [Green Version]
  9. da Saúde, M. Vigitel Brazil 2016 Private Health Insurance and Plans Beneficiaries: Protective and Risk Factors for Chronic Diseases by Telephone Survey; Ministério da Saúde: Brasília, Brazil, 2017. [Google Scholar]
  10. Lerner, D.J.; Kannel, W.B. Patterns of coronary heart disease morbidity and mortality in the sexes: A 26-year follow-up of the Framingham population. Am. Heart J. 1986, 111, 383–390. [Google Scholar] [CrossRef]
  11. Mansur, A.P.; Favarato, D. Cardiovascular and Cancer Death Rates in the Brazilian Population Aged 35 to 74 Years, 1996–2017. Taxas de Mortalidade por Doenças Cardiovasculares e Câncer na População Brasileira com Idade entre 35 e 74 Anos, 1996–2017. Arq. Bras. Cardiol. 2021, 117, 329–340. [Google Scholar] [CrossRef] [PubMed]
  12. Dai, H.; Much, A.A.; Maor, E.; Asher, E.; Younis, A.; Xu, Y.; Lu, Y.; Liu, X.; Shu, J.; Bragazzi, N.L. Global, regional, and national burden of ischemic heart disease and its attributable risk factors, 1990–2017: Results from the global Burden of Disease Study 2017. Eur. Heart J. Qual. Care Clin. Outcomes 2020, 8, 50–60. [Google Scholar] [CrossRef] [PubMed]
  13. Global Burden of Cardiovascular Diseases Collaboration; Roth, G.A.; Johnson, C.O.; Abate, K.H.; Abd-Allah, F.; Ahmed, M.; Alam, K. The Burden of Cardiovascular Diseases Among US States, 1990–2016. JAMA Cardiol. 2018, 3, 375–389. [Google Scholar] [PubMed]
  14. Roth, G.A.; Johnson, C.; Abajobir, A.; Abd-Allah, F.; Abera, S.F.; Abyu, G.; Ukwaja, K.N. Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. J. Am. Coll. Cardiol. 2017, 70, 1–25. [Google Scholar] [CrossRef]
  15. Brasil. Ministério da Saúde. DATASUS. Brasília. 2021. Available online: http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10uf.def (accessed on 30 January 2021).
  16. National Cancer Institute Division of Cancer Control and Population Sciences. Joinpoint Regression Program, Version 4.7.0.0. 26 February 2019. Available online: https://surveillance.cancer.gov/joinpoint/ (accessed on 30 January 2020).
  17. Currell, G. Scientific Data Analysis; Oxford University Press: Oxford, UK, 2015; 352p, Excel Analysis; Available online: https://www.youtube.com/watch?v=myL_qzuLHTQ (accessed on 30 January 2021).
  18. Vogel, B.; Acevedo, M.; Appelman, Y.; Bairey Merz, C.N.; Chieffo, A.; Figtree, G.A.; Guerrero, M.; Kunadian, V.; Lam, C.S.P.; Maas, A.H.E.M.; et al. The Lancet women and cardiovascular disease Commission: Reducing the global burden by 2030. Lancet 2021, 397, 2385–2438. [Google Scholar] [CrossRef]
  19. Roth, G.A.; Mensah, G.A.; Johnson, C.O.; Addolorato, G.; Ammirati, E.; Baddour, L.M.; GBD-NHLBI-JACC Global Burden of Cardiovascular Diseases Writing Group. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. J. Am. Coll. Cardiol 2020, 76, 2982–3021. [Google Scholar] [CrossRef]
  20. National Center for Health Statistics. Health, United States, 2017: With Special Feature on Mortality; National Center for Health Statistics: Hyattsville, MD, USA, 2018. Available online: https://www.cdc.gov/nchs/data/hus/hus17.pdf (accessed on 1 April 2019).
  21. Timmis, A.; Townsend, N.; Gale, C.P.; Torbica, A.; Lettino, M.; Petersen, S.E.; Mossialos, E.A.; Maggioni, A.P.; Kazakiewicz, D.; May, H.T.; et al. European Society of Cardiology. European Society of Cardiology: Cardiovascular Disease Statistics 2019. Eur. Heart J 2020, 41, 12–85. [Google Scholar] [CrossRef] [Green Version]
  22. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: A pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021, 398, 957–980. [Google Scholar] [CrossRef]
  23. Santos, R.D.; Bensenor, I.M.; Pereira, A.C.; Lotufo, P.A. Dyslipidemia according to gender and race: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). J. Clin. Lipidol. 2016, 10, 1362–1368. [Google Scholar] [CrossRef] [PubMed]
  24. Pesquisa Nacional de Saúde 2013: Percepção do Estado de Saúde, Estilos de vida e Doenças Crônicas. Available online: https://biblioteca.ibge.gov.br/visualizacao/livros/liv94074.pdf (accessed on 23 June 2021).
  25. Bardach, A.; Alcaraz, A.; Roberti, J.; Ciapponi, A.; Augustovski, F.; Pichon-Riviere, A. Optimizing Tobacco Advertising Bans in Seven Latin American Countries: Microsimulation Modeling of Health and Financial Impact to Inform Evidence-Based Policy. Int. J. Environ. Res. Public Health 2021, 18, 5078. [Google Scholar] [CrossRef]
  26. Wang, L.; Li, X.; Wang, Z.; Bancks, M.P.; Carnethon, M.R.; Greenland, P.; Feng, Y.Q.; Wang, H.; Zhong, V.W. Trends in Prevalence of Diabetes and Control of Risk Factors in Diabetes Among US Adults, 1999–2018. JAMA 2021, 326, 704–716. [Google Scholar] [CrossRef]
  27. Malta, D.C.; Teixeira, R.; Oliveira, G.M.M.; Ribeiro, A.L.P. Cardiovascular Disease Mortality According to the Brazilian Information System on Mortality and the Global Burden of Disease Study Estimates in Brazil, 2000–2017. Arq. Bras. Cardiol. 2020, 115, 152–160. [Google Scholar]
Figure 1. Adjusted death rates per 100,000 population, and regression data, for the age group 35 to 74 years for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke for the entire population from 1996 to 2019.
Figure 1. Adjusted death rates per 100,000 population, and regression data, for the age group 35 to 74 years for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke for the entire population from 1996 to 2019.
Ijerph 19 12827 g001
Figure 2. Comparisons of adjusted death rates regression lines per 100,000 population and regression data for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in women and men from 1996 to 2019.
Figure 2. Comparisons of adjusted death rates regression lines per 100,000 population and regression data for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in women and men from 1996 to 2019.
Ijerph 19 12827 g002
Figure 3. Regression lines of the ratio of men and women death rates per 100,000 population, and regression data, for cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in women (W) and men (M) from 1996 to 2019.
Figure 3. Regression lines of the ratio of men and women death rates per 100,000 population, and regression data, for cardiovascular disease (CVD), ischemic heart disease (IHD), and stroke in women (W) and men (M) from 1996 to 2019.
Ijerph 19 12827 g003
Table 1. Adjusted death rates (DRaj) per 100,000 population for the age group 35 to 74 years, the number of Jp, and the mean annual percentage change (AAPC) for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD) and stroke in men and women from 1996 to 2019.
Table 1. Adjusted death rates (DRaj) per 100,000 population for the age group 35 to 74 years, the number of Jp, and the mean annual percentage change (AAPC) for all causes of death (ACD), cardiovascular disease (CVD), ischemic heart disease (IHD) and stroke in men and women from 1996 to 2019.
Cause of DeathYearDRajYearDRajAAPC99%CL
ACD—0 Jp19961032.22019721.79−1.6 *−1.8−1.5
ACD Men—3 Jp19961327.420041268.2−0.9 *−1.6−0.1
ACD Men—3 Jp20041268.220071071.8−5.1−111.1
ACD Men—3 Jp20071071.8201210770.2−1.72.1
ACD Men—3 Jp201210772019930.72−1.9 *−2.7−1.2
ACD Women—0 Jp1996764.762019721.79−1.6 *−1.8−1.5
CVD—0 Jp1996342.852019199.47−2.4 *−2.5−2.2
CVD Men—0 Jp1996421.962019258.03−2.1 *−2.3−2
CVD Women—0 Jp1996270.842019148.23−2.6 *−2.8−2.4
IHD—0 Jp1996111.46201975.15−1.7 *−1.9−1.5
IHD Men—0 Jp1996150.232019105.6−1.5 *−1.7−1.3
IHD Women—0 Jp199676.25201948.29−1.9 *−2.1−1.7
Stroke—0 Jp199679.19201928.62−4.3 *−4.6−4.1
Stroke Men—1 Jp199696.02200171.57−5.9 *−7.6−4.1
Stroke Men—1 Jp200171.57201937.1−3.8 *−4.1−3.5
Stroke Women—0 Jp199664.31201921.39−4.6 *−4.9−4.4
* p < 0.01. Jp: joinpoint.
Table 2. Adjusted death rate (DRaj) per 100,000 population for the age group 35 to 74 years of the general population, in men (M) and women (W), from all causes of death (ACD), cardiovascular diseases (CVD), ischemic heart disease (IHD), and stroke per 100,000 inhabitants in Brazil from 1996 to 2019.
Table 2. Adjusted death rate (DRaj) per 100,000 population for the age group 35 to 74 years of the general population, in men (M) and women (W), from all causes of death (ACD), cardiovascular diseases (CVD), ischemic heart disease (IHD), and stroke per 100,000 inhabitants in Brazil from 1996 to 2019.
YearACDACD MenACD WomenM/W ACDCVDCVD MenCVD WomenM/W CVDIHDIHD MenIHD WomenM/W IHDStrokeStroke MenStroke WomenM/W Stroke
19961032.241327.36764.761.73345.65430.63271.291.58112.32152.8776.531.9980.498.864.581.52
19971018.81310.72754.191.73332.98417.15259.531.6108.66148.2573.82.0075.5394.4359.361.59
19981038.121335.37768.781.73329.61414.23255.961.61108.31147.6573.722.0071.7490.5555.651.62
19991044.041341.6774.381.73320.31402.7248.951.61105.67144.571.622.0166.9784.3752.231.61
2000947.051230.61694.991.77312.32393.65242.081.62105.11144.9670.372.0560.6275.9347.661.59
2001950.561238.86694.441.78302.6383.432331.64102.42141.0268.882.0457.9473.4544.911.63
2002950.291236.21696.251.77293.14370.97226.471.63100.14137.5667.752.035671.1843.281.64
2003956.181247.73697.181.78289.91368.81222.431.6599.28136.9166.832.0453.4368.1841.091.65
2004971.911268.24708.561.78290.18369.09222.821.6599.32137.1466.732.0551.4465.2339.961.63
2005929.71214.74676.41.79274.89350.44210.591.6693.69129.662.852.0647.2259.8436.741.62
2006882.621080.01685.651.57277.62354.03212.691.6695.37132.4163.652.0851.0164.5639.751.62
2007826.141071.8605.891.76271.32347.83206.51.6893.82130.8862.142.148.4261.6837.441.64
2008830.361073.61611.061.75269.73345.68205.511.6893.93131.162.242.147.2860.836.091.68
2009811.471035.07604.951.71259.86335.4196.151.790.51127.359.222.1444.5757.6133.871.7
2010813.41066.34590.271.8255.18331.04191.351.7390.94127.9959.52.1542.6155.432.11.72
2011826.191081.02601.411.79252326.22189.681.7190.62127.5559.362.1441.1853.7530.881.74
2012823.731077.03600.311.79241.2313.31180.681.7387.63123.6557.162.1638.4249.8129.11.71
2013795.491038.66580.191.79236.63309.23175.931.7586.26122.7355.512.2136.2347.4827.051.75
2014774.081011.47563.681.79228.78300.69168.721.7883.97119.9553.72.2333.8844.6725.081.78
2015769.28998.84565.551.76225.53295.14167.471.7683.8119.3953.892.2133.1743.4524.831.74
2016775.631009.32568.331.77227.99300.67167.641.7984.5120.7654.152.2332.8243.3124.321.78
2017744.67964.96548.761.75217.06286.06159.791.7980.98115.8651.792.2330.5840.5422.521.8
2018730.66946.19538.781.75210.38278.82153.661.8178.88113.2450.182.2530.2340.3122.091.82
2019721.79930.72535.641.73205.38273.56149.021.8377.26111.7248.532.329.6539.6521.611.83
%−30 *−30 *−30 *0−41 *−36 *−45 *14 *−31 *−27 *−37 *13 *−63 *−60 *−67 *17 *
* p < 0.01; % means the percentage changes in DRaj in 2019 vs. DRaj in 1996; M/W: ratio men/women.
Table 3. The crude death rate, the percentage change between 1996 and 2019, mean annual percentage change (AAPC), and 99% confidence limits (99%CL) for all causes of death and cardiovascular diseases per 100,000 population.
Table 3. The crude death rate, the percentage change between 1996 and 2019, mean annual percentage change (AAPC), and 99% confidence limits (99%CL) for all causes of death and cardiovascular diseases per 100,000 population.
All Causes of DeathCardiovascular Diseases
Age Group19962019% ChangeAAPC (%)99%CL19962019% ChangeAAPC (%)99%CL
Total population
35–39300.42197.93−34−1.8 *−2.1−1.545.0325.92−47−2.4 *−2.6−2.1
40–44 396.28256.92−35−1.9 *−2.1−1.784.6746.59−47−2.7 *−3.5−1.8
45–49 540.39366.81−32−1.6 *−2.0−1.3145.2782.49−46−2.4 *−2.6−2.2
50–54770.39549.14−29−1.5 *−1.8−1.1238.53140.98−43−2.2 *−2.8−1.5
55–591104.86789.71−29−1.5 *−1.8−1.2376.47216.72−44−2.4 *−2.7−2.2
60–641708.751247.23−27−1.3 *−1.5−1.1623.51371.07−41−2.1 *−2.2−2.0
65–692564.011885.53−26−1.4 *−1.6−1.3961.78584.24−39−2.2 *−2.6−1.8
70–74 3990.692948.01−26−1.3 *−1.7−0.91548.07942.15−40−2.0 *−2.4−1.7
Men
35–39436.05274.91−37−1.9 *−2.3−1.553.9531.93−41−2.3 *−2.7−1.9
40–44 551.57345.64−37−2.0 *−2.2−1.8104.8358.50−44−2.6 *−3.4−1.7
45–49 719.94489.43−32−1.6 *−2.0−1.3179.69104.09−42−2.4 *−2.7−2.1
50–541002.23736.42−27−1.3 *−1.7−0.9298.70189.84−36−1.9 *−2.5−1.4
55–591411.881052.21−25−1.3 *−1.6−1.0475.70295.14−38−2.1 *−2.4−1.8
60–642173.831651.83−24−1.1 *−1.3−0.9788.36506.34−36−1.8 *−1.9−1.6
65–693240.262470.58−24−1.3 *−1.4−1.11195.81779.52−35−1.8 *−1.9−1.7
70–74 5060.293858.00−24−1.2 *−1.6−0.71907.361249.21−35−1.7 *−1.9−1.5
Women
35–39171.13122.89−28−1.4 *−1.6−1.236.5320.06−45−2.5 *−2.9−2.2
40–44 248.24173.18−30−1.7 *−2.3−1.165.4535.35−46−2.6 *−3.7−1.5
45–49 369.21254.79−31−1.5 *−1.7−1.3112.4562.76−44−2.5 *−2.6−2.4
50–54551.42381.76−31−1.6 *−2.0−1.2181.7197.33−46−2.5 *−3.4−1.5
55–59821.84561.60−32−1.7 *−2.0−1.4285.00148.58−48−2.8 *−3.1−2.5
60–641295.04907.28−30−1.4 *−1.6−1.3476.87257.42−46−2.5 *−2.6−2.4
65–691990.761415.45−29−1.6 *−1.7−1.4763.39427.35−44−2.5 *−2.8−2.3
70–74 3141.902266.47−28−1.3 *−1.9−0.81262.95712.18−44−2.3 *−2.7−1.9
* p < 0.01; % change means the percentage changes in DRaj in 2019 vs. DRaj in 1996.
Table 4. The crude death rate, the percentage change between 1996 and 2019, mean annual percentage change (AAPC), and 99% confidence limits (99%CL) due to ischemic heart diseases and cerebrovascular diseases per 100,000 population.
Table 4. The crude death rate, the percentage change between 1996 and 2019, mean annual percentage change (AAPC), and 99% confidence limits (99%CL) due to ischemic heart diseases and cerebrovascular diseases per 100,000 population.
Ischemic Heart DiseaseStroke
Age Group19962019% ChangeAAPCCI 99%19962019% ChangeAAPCCI 99%
(%)(%)
Total Population
35–3912.588.08−36−1.7 *−2.4−1.16.291.96−69−5.0 *−5.6−4.4
40–44 25.416.42−35−2.1 *−2.9−1.313.833.58−74−5.5 *−5.9−5
45–49 4730.49−35−1.9 *−2.4−1.427.928.11−71−5.4 *−5.8−5.1
50–5479.1656.13−29−1.6 *−1.7−1.449.9515.14−70−5.3 *−5.7−5
55–59128.7588.71−31−1.7 *−1.9−1.483.4925.45−70−5.0 *−5.3−4.8
60–64214.58149.71−30−1.4 *−1.5−1.2142.8850.89−64−4.3 *−4.6−4.1
65–69316.39219.49−31−1.5 *−1.6−1.4237.7495.28−60−3.9 *−4.1−3.6
70–74 474.08325.67−31−1.6 *−1.8−1.3413.86176.15−57−3.4 *−3.6−3.1
Men
35–3917.8811.9−33−1.8 *−2.4−1.16.721.97−71−5.1 *−6.2−4
40–44 37.2623.8−36−2.1 *−2.9−1.415.843.93−75−5.7 *−6.4−4.9
45–49 66.9944.11−34−1.7 *−2.1−1.331.649.39−70−5.1 *−5.7−4.6
50–54114.0184.76−26−1.4 *−1.6−1.258.4418.8−68−4.9 *−5.9−3.8
55–59178.91130.63−27−1.5 *−1.8−1.2103.2934.39−67−5.0 *−6−4
60–64292.15220.01−25−1.0 *−1.2−0.9178.5369.16−61−4.0 *−5−3
65–69419.01311.17−26−1.2 *−1.3−1.1297.89130.9−56−3.6 *−4.6−2.7
70–74 619458.82−26−1.2 *−1.5−0.9515.64240.4−53−3.4 *−3.9−3
Women
35–397.534.35−42−1.4 *−1.8−15.881.95−67−5.6 *−6.5−4.7
40–44 14.099.46−33−2.0 *−3.1−0.911.913.25−73−5.3 *−7.1−3.5
45–49 27.9418.05−35−1.6 *−1.9−1.424.386.94−72−5.8 *−6.7−5
50–5446.2530.54−34−1.8 *−2.2−1.341.9311.88−72−5.3 *−6.4−4.2
55–5982.5252.28−37−1.8 *−2−1.665.2317.68−73−5.5 *−6.4−4.7
60–64145.5890.64−38−1.9 *−2−1.7111.1735.54−68−4.7 *−5.7−3.7
65–69229.4145.83−36−1.9 *−2−1.8186.7466.66−64−4.6 *−5.7−3.5
70–74 359.08225.95−37−1.9 *−2−1.8333.09128.04−62−4.1 *−4.7−3.5
* p < 0.01; % change means the percentage changes in DRaj in 2019 vs. DRaj in 1996.
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Mansur, A.d.P.; Favarato, D.; Strunz, C.M.C.; Avakian, S.D.; Pereira-Barretto, A.C.; Bocchi, E.A.; César, L.A.M. Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019. Int. J. Environ. Res. Public Health 2022, 19, 12827. https://doi.org/10.3390/ijerph191912827

AMA Style

Mansur AdP, Favarato D, Strunz CMC, Avakian SD, Pereira-Barretto AC, Bocchi EA, César LAM. Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019. International Journal of Environmental Research and Public Health. 2022; 19(19):12827. https://doi.org/10.3390/ijerph191912827

Chicago/Turabian Style

Mansur, Antonio de Padua, Desidério Favarato, Célia Maria Cassaro Strunz, Solange Desirée Avakian, Antonio Carlos Pereira-Barretto, Edimar Alcides Bocchi, and Luiz Antonio Machado César. 2022. "Sex Differences in Cardiovascular Disease Mortality in Brazil between 1996 and 2019" International Journal of Environmental Research and Public Health 19, no. 19: 12827. https://doi.org/10.3390/ijerph191912827

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