Predicting the prevalence of type 2 diabetes in Brazil: a modeling study.

Aims: We adopted a modeling approach to predict the likely future prevalence of type 2 diabetes, taking into account demographic changes and trends in obesity and smoking in Brazil. We then used the model to estimate the likely future impact of different policy scenarios, such as policies to reduce obesity. Methods: The IMPACT TYPE 2 DIABETES model uses a Markov approach to integrate population, obesity, and smoking trends to estimate future type 2 diabetes prevalence. We developed a model for the Brazilian population from 2006 to 2036. Data on the Brazilian population in relation to sex and age were collected from the Brazilian Institute of Geography and Statistics, and data on the prevalence of type 2 diabetes, obesity, and smoking were collected from the Surveillance of Risk and Protection Factors for Chronic Diseases by Telephone Survey (VIGITEL). Results: The observed prevalence of type 2 diabetes among Brazilians aged over 25 years was 10.8% (5.2-14.3%) in 2006, increasing to 13.7% (6.9-18.4%) in 2020. Between 2006 and 2020, the observed prevalence in men increased from 11.0 to 19.1% and women from 10.6 to 21.3%. The model forecasts a dramatic rise in prevalence by 2036 (27.0% overall, 17.1% in men and 35.9% in women). However, if obesity prevalence declines by 1% per year from 2020 to 2036 (Scenario 1), the prevalence of diabetes decreases from 26.3 to 23.7, which represents approximately a 10.0% drop in 16 years. If obesity declined by 5% per year in 16 years as an optimistic target (Scenario 2), the prevalence of diabetes decreased from 26.3 to 21.2, representing a 19.4% drop in diabetes prevalence. Conclusion: The model predicts an increase in the prevalence of type 2 diabetes in Brazil. Even with ambitious targets to reduce obesity prevalence, type 2 diabetes in Brazil will continue to have a large impact on Brazilian public health.

The direct and indirect costs of cardiovascular diseases in Brazil.

OBJECTIVE: To evaluate the direct and indirect costs of cardiovascular diseases (such as coronary heart disease and stroke) by sex and age group, attributed to the excessive consumption of salt, saturated fat and trans fat in Brazil. MATERIALS AND METHODS: The data for estimating the Population Attributable Fraction (PAF) corresponding to the consumption of salt, saturated fat and trans-fat were obtained from the Household Budget Survey 2017-2018. The calculation of direct costs for cardiovascular diseases (CVD) was made from the accounting sum of costs with hospitalizations and outpatient care found in the National Health System (Hospital Information System and Outpatient Information System), from 2017 to 2019, including the costs of treatment, such as medical consultations, medical procedures, and drugs. Regarding the indirect costs, they were measured by the loss of human capital, given the premature death, resulting in loss of productivity. To define the attributable costs, they were multiplied by the PAF. RESULTS: Higher burden of CVD attributable to the consumption of salt, saturated fat and trans fat were observed in younger individuals, which progressively decreased with advancing age, but still generated economic costs in the order of US$ 7.18 billion, in addition to 1.53 million productive years of life lost (YLL) to premature death, if considering salt as an inducer. Although attributable burden of CVD is higher among younger individuals, the highest costs are associated with males aged 45 to 74 years old for direct costs and 45 to 64 years old for indirect costs. CONCLUSION: The attributable fractions to consumption of salt are the ones that cause the most effects on CVD, followed by saturated fat and trans fat, with direct and indirect costs being higher for males.

Projected impact of change in the percentage of energy from each NOVA group intake on cardiovascular disease mortality in Brazil: a modelling study.

OBJECTIVE: Estimate reductions in cardiovascular mortality achievable through improvement in nutrient intakes according to processing level (NOVA classification), that is, reducing consumption of culinary ingredients (G2), processed (G3) and ultra-processed foods (G4) while encouraging consumption of unprocessed and minimally processed foods (G1). DESIGN: Modelling study. SETTING: General adult population of Brazil. PARTICIPANTS: Men and women aged 25 or more years (34 003) investigated in the Household Budget Survey 2017-2018, in the consumption data module. MAIN OUTCOME MEASURES: We used the IMPACT Food Policy Model to estimate the reduction in deaths from cardiovascular diseases (CVD) up to 2048 in five scenarios with reductions in saturated fat, trans fat, salt and added sugar intakes resulting from changes in NOVA groups. (1) The optimistic scenario modelised an increase in the energy intake provided by G1 and a reduction in the energy intake from G2, G3 and G4, return to previous levels. (2) The minimal scenario modelised a 3.7% increase in the energy intake from G1, and a reduction in the energy intake from G4 to the 2008-2009 level. (3) The modest scenario only modelised a 25.0% reduction of the energy intake from G2 and G3. (4) The intermediary scenario modelised the minimal scenario plus a 25.0% reduction in the energy intake from G2. (5) Finally, the advanced scenario modelised the minimal scenario plus a 25.0% reduction in the energy intake from G2 and G3. RESULTS: Proposed changes in the optimistic scenario could prevent or delay 52.8% CVD-related deaths by 2048. Changes modelled in the minimal, modest, intermediary and advanced scenarios may result in a 10.1%, 28.4%, 31.4% and 38.6% reduction in 2048 CVD mortality, respectively. CONCLUSIONS: Substantial health gains can be achieved by improving the diet, through plausible modifications aimed at the level of processing as a tool for Brazilian food policies.

Coronary heart disease and stroke mortality trends in Brazil 2000-2018.

OBJECTIVE: To analyse the mortality rate trend due to coronary heart disease (CHD) and stroke in the adult population in Brazil. METHODS: From 2000 to 2018, a time trend study with joinpoint regression was conducted among Brazilian men and women aged 35 years and over. Age-adjusted and age, sex specific CHD and stroke trend rate mortality were measured. RESULTS: Crude mortality rates from CHD decreased in both sexes and in all age groups, except for males over 85 years old with an increase of 1.78%. The most accentuated declining occurred for age range 35 to 44 years for both men (52.1%) and women (53.2%) due to stroke and in men (33%) due to CHD, and among women (32%) aged 65 to 74 years due to CHD. Age-adjusted mortality rates for CHD and stroke decreased in both sexes, in the period from 2000 to 2018. The average annual rate for CHD went from 97.09 during 2000-2008 to 78.75 during 2016-2018, whereas the highest percentage of change was observed during 2008 to 2013 (APC -2.5%; 95% CI). The average annual rate for stroke decreased from 104.96 to 69.93, between 2000-2008 and 2016-2018, and the highest percentage of change occurred during the periods from 2008 to 2013 and 2016 to 2018 (APC 4.7%; 95% CI). CONCLUSION: The downward trend CHD and stroke mortality rates is continuing. Policy intervention directed to strengthen care provision and improve population diets and lifestyles might explain the continued progress, but there is no room for complacency.

Corruption in public health and its effects on the economic growth of Brazilian municipalities.

This study's objective is to estimate the effects of corruption in the public health sector on the economic growth of Brazilian municipalities. To build three corruption measures, data from audits conducted by the office of the comptroller general (Controladoria Geral da Uniao, CGU henceforth) in 2009 and 2010 in the health and sanitation sectors were used. Two analysis steps were performed. The first verified the relationship between the performance of the audit and the economic growth rate of the municipalities, using the Ordinary Least Squares (OLS); the second analyses the effects of corruption on public health on the economic growth of the audited municipalities, using OLS and Quantile Regressions. First, in a sample of 5547 municipalities, the evidence indicates that being audited is related to slower economic growth. From this, when the sample is restricted to the 180 municipalities audited in 2009 and the corruption variables constructed from the audit reports conducted in the year, the results indicate negative effects of corruption on economic growth. The results show that in the larger quantiles of economic growth, the adverse effects of corruption are felt more significantly. Both methods tested with the three corruption variables created provide similar evidence, showing robustness of results. Therefore, the study allowed us to conclude that corruption in the public health sector hampered the economic growth of Brazilian municipalities, which is a delayed effect: Corruption in 2009 had negative effects on growth in 2011.