Economic burden of diabetes in Brazil in 2014

The ASSIST trial: Acute effects of manipulating strength exercise volume on insulin sensitivity in obese adults: A protocol for a randomized controlled, crossover, clinical trial

Type 2 diabetes mellitus is a disease in which insulin action is impaired, and an acute bout of strength exercise can improve insulin sensitivity. Current guidelines for strength exercise prescription suggest that 8 to 30 sets could be performed, although it is not known how variations in exercise volume impact insulin sensitivity. Additionally, this means an almost 4-fold difference in time commitment, which might directly impact an individual's motivation and perceived capacity to exercise. This study will assess the acute effects of high- and low-volume strength exercise sessions on insulin sensitivity. After being thoroughly familiarized, 14 obese individuals of both sexes (>40 year old) will undergo 3 random experimental sessions, with a minimum 4-day washout period between them: a high-volume session (7 exercises, 3 sets per exercise, 21 total sets); a low-volume session (7 exercises, 1 set per exercise, 7 total sets); and a control session, where no exercise will be performed. Psychological assessments (feeling, enjoyment, and self-efficacy) will be performed after the sessions. All sessions will be held at night, and the next morning, an oral glucose tolerance test will be performed in a local laboratory, from which indexes of insulin sensitivity will be derived. We believe this study will aid in strength exercise prescription for individuals who claim not to have time to exercise or who perceive high-volume strength exercise intimidating to adhere to. This trial was prospectively registered (ReBEC #RBR-3vj5dc5 https://ensaiosclinicos.gov.br/rg/RBR-3vj5dc5).

A systematic review of the economic burden of diabetes mellitus: contrasting perspectives from high and low middle-income countries

Introduction

Diabetes increases preventative sickness and costs healthcare and productivity. Type 2 diabetes and macrovascular disease consequences cause most diabetes-related costs. Type 2 diabetes greatly costs healthcare institutions, reducing economic productivity and efficiency. This cost of illness (COI) analysis examines the direct and indirect costs of treating and managing type 1 and type 2 diabetes mellitus.

Methodology

According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, Cochrane, PubMed, Embase, CINAHL, Scopus, Medline Plus, and CENTRAL were searched for relevant articles on type 1 and type 2 diabetes illness costs. The inquiry returned 873 2011-2023 academic articles. The study included 42 papers after an abstract evaluation of 547 papers.

Results

Most articles originated in Asia and Europe, primarily on type 2 diabetes. The annual cost per patient ranged from USD87 to USD9,581. Prevalence-based cost estimates ranged from less than USD470 to more than USD3475, whereas annual pharmaceutical prices ranged from USD40 to more than USD450, with insulin exhibiting the greatest disparity. Care for complications was generally costly, although costs varied significantly by country and problem type.

Discussion

This study revealed substantial heterogeneity in diabetes treatment costs; some could be reduced by improving data collection, analysis, and reporting procedures. Diabetes is an expensive disease to treat in low- and middle-income countries, and attaining Universal Health Coverage should be a priority for the global health community.

Comparative effectiveness and cost-effectiveness of cardioprotective glucose-lowering therapies for type 2 diabetes in Brazil: a Bayesian network model

BACKGROUND

The escalating prevalence of type 2 diabetes (T2DM) poses an unparalleled economic catastrophe to developing countries. Cardiovascular diseases remain the primary source of costs among individuals with T2DM, incurring expenses for medications, hospitalizations, and surgical interventions. Compelling evidence suggests that the risk of cardiovascular outcomes can be reduced by three classes of glucose-lowering therapies (GLT), including SGLT2i, GLP-1A, and pioglitazone. However, an evidence-based and cost-effective protocol is still unavailable for many countries. The objective of the current study is to compare the effectiveness and cost-effectiveness of GLT in individuals with T2DM in Brazil.

METHODS

We employed Bayesian Networks to calculate the incremental cost-effectiveness ratios (ICER), expressed in international dollars (Int$) per disease-adjusted life years [DALYs] averted. To determine the effectiveness of GLT, we conducted a systematic review with network meta-analysis (NMA) to provide insights for our model. Additionally, we obtained cardiovascular outcome incidence data from two real-world cohorts comprising 851 and 1337 patients in primary and secondary prevention, respectively. Our cost analysis took into account the perspective of the Brazilian public health system, and all values were converted to Int$.

RESULTS

In the NMA, SGLT2i [HR: 0.81 (95% CI 0.69-0.96)], GLP-1A [HR: 0.79 (95% CI 0.67-0.94)], and pioglitazone [HR: 0.73 (95% CI 0.59-0.91)] demonstrated reduced relative risks of non-fatal cardiovascular events. In the context of primary prevention, pioglitazone yielded 0.2339 DALYs averted, with an ICER of Int$7,082 (95% CI 4,521-10,770) per DALY averted when compared to standard care. SGLT2i and GLP-1A also increased effectiveness, resulting in 0.261 and 0.259 DALYs averted, respectively, but with higher ICERs of Int$12,061 (95% CI: 7,227-18,121) and Int$29,119 (95% CI: 23,811-35,367) per DALY averted. In the secondary prevention scenario, all three classes of treatments were deemed cost-effective at a maximum willingness-to-pay threshold of Int$26,700. Notably, pioglitazone consistently exhibited the highest probability of being cost-effective in both scenarios.

CONCLUSIONS

In Brazil, pioglitazone presented a higher probability of being cost-effective both in primary and secondary prevention, followed by SGLT2i and GLP-1A. Our findings support the use of cost-effectiveness models to build optimized and hierarchical therapeutic strategy in the management of T2DM.

TRIAL REGISTRATION

CRD42020194415.

BrazIliaN Type 1 & 2 DiabetEs Disease Registry (BINDER): longitudinal, real-world study of diabetes mellitus control in Brazil

Introduction

This study aimed at assessing the patterns of care and glycemic control of patients with diabetes (DM) in real life during a follow-up of 2 years in the public and private health sectors in Brazil.

Methods

BINDER was an observational study of patients >18 years old, with type-1 (T1DM) and type-2 DM (T2DM), followed at 250 sites from 40 cities across the five regions of Brazil. The results for the 1,266 participants who were followed for 2 years are presented.

Main results

Most patients were Caucasians (75%), male (56.7%) and from the private health sector (71%). Of the 1,266 patients who entered the analysis, 104 (8.2%) had T1DM and 1162 (91.8%) had T2DM. Patients followed in the private sector represented 48% of the patients with T1DM and 73% of those with T2DM. For T1DM, in addition to insulins (NPH in 24%, regular in 11%, long-acting analogues in 58%, fast-acting analogues in 53%, and others in 12%), the patients received biguanide (20%), SGLT2-I (4%), and GLP-1Ra (<1%). After 2 years, 13% of T1DM patients were using biguanide, 9% SGLT2-I, 1% GLP-1Ra, and 1% pioglitazone; the use of NPH and regular insulins decreased to 13% and 8%, respectively, while 72% were receiving long-acting insulin analogues, and 78% fast-acting insulin analogues. Treatment for T2DM consisted of biguanide (77%), sulfonylureas (33%), DPP4 inhibitors (24%), SGLT2-I (13%), GLP-1Ra (2.5%), and insulin (27%), with percentages not changing during follow-up. Regarding glucose control, mean HbA1c at baseline and after 2 years of follow-up was 8.2 (1.6)% and 7.5 (1.6)% for T1DM, and 8.4 (1.9)% and 7.2 (1.3)% for T2DM, respectively. After 2 years, HbA1c<7% was reached in 25% of T1DM and 55% of T2DM patients from private institutions and in 20.5% of T1DM and 47% of T2DM from public institutions.

Conclusion

Most patients did not reach the HbA1c target in private or public health systems. At the 2-year follow-up, there were no significant improvements in HbA1c in either T1DM or T2DM, which suggests an important clinical inertia.

Determinants of glycemic control in type 2 diabetes mellitus in Brazil: A sub-analysis of the longitudinal data from the BrazIian type 1 & 2 diabetes disease registry (BINDER)

BACKGROUND

Data on glycemic control and its determinants among Brazilian patients with type-2 diabetes (DM2) are scarce. The BrazIliaN Type 1 & 2 DiabetEs Disease Registry (BINDER) is a multicenter, longitudinal study, designed to investigate the glycemic control in a real-word scenario.

METHODS

1142 patients participated in the five visits of the BINDER study between April/2017 and October/2019. For each visit, glycemic control was assessed using the last measure available for HbA1c. Sociodemographic and anthropometric characteristics were also analyzed.

RESULTS

At baseline, the median HbA1c level was 7.1% (4.1-15.0%); 259 (31.4%) participants had HbA1c ≤ 6.5% and 396 (48.2%) had HbA1c ≤ 7.0%. Younger age (p = 0.014), low educational level (p = 0.025) and the type of healthcare service (public sector; p = 0.0058) were independently associated with the elevated HbA1c. After 2 years, there were no statistically significant differences in HbA1c median values in relation to baseline.

CONCLUSIONS

In this sample of DM2 patients, younger age, low educational level and being treated at the public service were associated with worse glycemic control. Over a 2-year follow-up, there was no significant change in the median HbA1c. These findings suggest that strategies are needed to improve glycemic control, especially in those treated in the public service.

Productivity Losses Due to Diabetes in Urban Rural China

BACKGROUND

Productivity losses due to diabetes are increasing in China, but research about the impact of diabetes on productivity in urban and rural areas requires further in-depth study. This article provides the first estimate of the cost of productivity losses attributed to diabetes in individuals 20-69 years old in urban and rural areas of China.

METHODS

The human capital approach is employed to measure the productivity losses attributed to absenteeism, presenteeism, labor force dropout, and premature deaths due to diabetes of the 20-69-year-old population of males and females in urban and rural areas of China. Based on the life table modelling, we calculate the years of potential life lost and working years of life lost of people with diabetes.

RESULTS

In 2017, we estimated that there were 100.46 million people with diabetes, with the total cost of productivity losses being USD 613.60 billion, comprising USD 326.40 billion from labor force dropout, USD 186.34 billion from premature death, USD 97.71 billion from absenteeism, and USD 27.04 billion from presenteeism. Productivity loss was greater in urban (USD 490.79 billion) than rural areas (USD 122.81 billion), with urban presenteeism (USD 2.54 billion) greater than rural presenteeism (USD 608.55 million); urban absenteeism (USD 79.10 billion) greater than rural absenteeism (USD 18.61 billion); urban labor force dropout (USD 261.24 billion) greater than rural labor force dropout (USD 65.15 billion); and urban premature death (USD 147.90 billion) greater than rural premature death (USD 38.44 billion).

CONCLUSIONS

Diabetes has a large and significant negative impact on productivity in urban and rural China. Productivity loss is significantly higher in urban versus rural regions. Further investment is required in the prevention, diagnosis, and control of diabetes in under-resourced health services in rural locations as well as in urban areas, where most diabetes cases reside. Specifically, targeted and effective diabetes prevention and management actions are urgently required.

Evolution of diabetes in Brazil: prevalence data from the 2013 and 2019 Brazilian National Health Survey

The prevalence of diabetes has been growing worldwide. This study aimed to estimate the prevalence of self-reported diabetes in Brazil in 2019, to describe its evolution from 2013, and to evaluate the role of population growth, aging, and other factors in the changes found. The 2019 Brazilian National Health Survey, a nationally representative cross-sectional survey, queried a physician diagnosis of diabetes in a probabilistic multistage cluster sample. The crude prevalence of known diabetes in 2019 was 7.7% (7.4%-8.0%), a 24% relative increase to the prevalence of 2013. Though this increase was greater in men (30%) than women (20%), 2019 prevalence remained higher in women (8.4%) than in men (6.9%). Age-adjusted prevalence was uniformly lower in the North region, and uniformly higher in the Southeast and Central-West regions. In 2019, 12.3 million cases of diabetes were found, a 36.4% increase from the 9.0 million in 2013. Drivers of this rise include increase in size (9.9%) and aging (1.8%) of the Brazilian population, and to all other factors, including increased case-detection and incidence, as well as decreased diabetes mortality (24.7%). Main correlates of greater prevalence - adjusted by the Poisson regression with robust variance - were older age (PR = 27.2, 95%CI: 1.2-42.9 for ≥ 65 years vs. 18-24 years), hypertension (PR = 2.6, 95%CI: 2.4-2.8 vs. normotension), and obesity (PR = 2.3, 95%CI: 2.1-2.5 vs. BMI < 25kg/m2). Those with a complete higher education had a 40% lower prevalence (PR = 0.6; 95%CI: 0.54-0.70 vs. incomplete elementary education). In conclusion, accompanying a worldwide trend, Brazil presents an increasing prevalence of diabetes throughout its regions, posing a huge burden to its population and health systems.

Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus

For decades, self-monitoring of blood glucose (SMBG) has been considered a cornerstone of adequate diabetes management. Structured SMBG can follow different monitoring patterns, and it results in improved glycemic control, reduced hypoglycemia, and a better quality of life of people with diabetes. The technology, usability, and accuracy of SMBG systems have advanced markedly since their introduction a few decades ago. Current SMBG systems are small and easy to use, require small (capillary) blood sample volumes, and provide measurement results within seconds. In addition, devices are increasingly equipped with features such as connectivity to other devices and/or digital diaries and diabetes management tools. Although measurement quality can come close to or equal that of the glucose monitoring systems used by healthcare professionals, several available SMBG systems still do not meet internationally accepted accuracy standards, such as the International Organization for Standardization 15197 standard. Reports from China, India, and Brazil based on local experience suggest that in addition of the accuracy issues of SMBG systems, other obstacles also need to be overcome to optimize SMBG usage. Nonetheless, adequate usage of SMBG data is of high relevance for the management of people with type 2 diabetes mellitus.

Educating diabetic patients through an SMS intervention: a randomized controlled trial at a Brazilian public hospital

Objective

Diabetes mellitus (DM) has a high healthcare system cost worldwide. Educational strategies are important to improve self-care and control this disease. This study aimed to evaluate satisfaction and clinical efficacy of a Short Message Service (SMS) educational intervention in self-care and nutrition at a Brazilian university hospital.

Methods

We conducted a trial of educational intervention and assigned eligible patients with DM to either receive weekly educational SMS for 6 months (intervention group [IG]) or no SMS at all (control group). A satisfaction questionnaire was applied before and after the intervention in both groups. Laboratory (fasting glucose, hemoglobin [Hb] A1c, total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein) and clinical (blood pressure) data were also collected. Data were analyzed using nonparametric tests with the Statistical Package for the Social Sciences.

Results

We included 128 patients (64 in each group). Responses to the satisfaction questionnaire with self-care and healthcare professionals from 112 patients revealed an improvement in the perception of receiving information regarding helpful eating habits and in healthy eating behavior and an improvement in satisfaction with their diabetes care in the IG. In the post-intervention period, improved systolic blood pressure and HbA1c levels were observed in the IG as illustrated by delta % (post-intervention minus pre-intervention data divided by pre-intervention data multiplied by 100) reductions of 2.3% and 3.9%, respectively.

Conclusion

SMS intervention was useful as an educational tool for improving satisfaction and glycemic and blood pressure control of patients with DM observed at a Brazilian university hospital.

Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil

BACKGROUND

Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden.

METHODS

We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes.

RESULTS

A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life.

CONCLUSIONS

Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.

Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil

Background

Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden.

Methods

We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes.

Results

A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life.

Conclusions

Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.

Femur absorptiometry changes determined by X-ray image segmentation in mice under experimental diabetes and ovariectomy

AIM

The aim of the present work was to determine if both ovariectomy (OVX) and type 2 diabetes mellitus (T2DM) can change X-ray absorptiometry until reach the osteoporosis condition.

RESULTS

The segmentation allowed us to quantitatively determine the X-ray absorption in the femurs of mice subjected to OVX, T2DM and both pathologies together.

CONCLUSIONS

The test subjects suffering from the mentioned pathologies separately or together, did not reach the osteoporosis condition when they were 30 weeks old.

Cost-Effectiveness of Point-of-Care A1C Tests in a Primary Care Setting

Objective: We evaluated the cost-effectiveness of the point-of-care A1c (POC-A1c) test device vs. the traditional laboratory dosage in a primary care setting for people living with type 2 diabetes. Materials and Methods: The Markov model with a 10-year time horizon was based on data from the HealthRise project, in which a group of interventions was implemented to improve diabetes and hypertension control in the primary care network of the urban area of a Brazilian municipality. A POC-A1c device was provided to be used directly in a primary care unit, and for a period of 18 months, 288 patients were included in the point-of-care group, and 1,102 were included in the comparison group. Sensitivity analysis was performed via Monte Carlo simulation and tornado diagram. Results: The results indicated that the POC-A1c device used in the primary care unit was a cost-effective alternative, which improved access to A1c tests and resulted in an increased rate of early control of blood glucose. In the 10-year period, POC-A1c group presented a mean cost of US$10,503.48 per patient and an effectiveness of 0.35 vs. US$9,992.35 and 0.09 for the traditional laboratory test, respectively. The incremental cost was US$511.13 and the incremental effectiveness was 0.26, resulting in an incremental cost-effectiveness ratio of 1,947.10. In Monte Carlo simulation, costs and effectiveness ranged between $9,663.20-$10,683.53 and 0.33-0.37 for POC-A1c test group, and $9,288.28-$10,413.99 and 0.08-0.10 for traditional laboratory test group, at 2.5 and 97.5 percentiles. The costs for nephropathy, retinopathy, and cardiovascular disease and the probability of being hospitalized due to diabetes presented the greatest impact on the model's result. Conclusion: This study showed that using POC-A1c devices in primary care settings is a cost-effective alternative for monitoring glycated hemoglobin A1c as a marker of blood glucose control in people living with type 2 diabetes. According to our model, the use of POC-A1c device in a healthcare unit increased the early control of type 2 diabetes and, consequently, reduced the costs of diabetes-related outcomes, in comparison with a centralized laboratory test.

Cost of microvascular complications in people with diabetes from a public healthcare perspective: a retrospective database study in Brazil

AIM

To evaluate direct medical costs incurred by patients with diabetes in the periods before and after experiencing a microvascular complication from a Brazilian public healthcare system perspective.

MATERIALS AND METHODS

This was a retrospective, observational study using the Brazilian Unified Health System (DATASUS) database. Direct medical costs (hospitalization and outpatient) were extracted for patients with evidence of diabetes and a microvascular complication (January 2012-December 2018) and converted to 2019 US Dollars (USD). Length of hospital stays was also extracted. Mixed-effects logistic regression explored associations between demographic/clinical characteristics and incurrence of high direct medical costs (defined as the highest tertile of the annual costs ranked by median cost in the total population).

RESULTS

In total, 2,096 patients with diabetes experienced a microvascular complication and met study inclusion/exclusion criteria. Median [interquartile range] annual costs (USD/patient) were 176.3 [91.0; 481.2] at baseline, increasing to 1,678.5 [287.0; 6,908.4] and 5,172.4 [274.8; 7,395.9] in the first and second year after the complication, respectively. Median hospital stay was 2.0 and 3.0 days at baseline and in the first year, respectively. The odds of incurring high costs were substantially elevated in the first and second years (odds ratios of 69.9 and 84.7, respectively, vs. baseline, both p < .001).

LIMITATIONS

The DATASUS database covers secondary and tertiary care (not primary), adding selection bias to our sample. Additionally, our findings may not apply to the entire Brazilian population, as around 25% have some access to private healthcare.

CONCLUSIONS

This study demonstrates a large increase in costs, from the perspective of the Brazilian public healthcare system, in patients with diabetes after experiencing a microvascular complication compared with pre-complication costs. In addition to providing up-to-date cost estimates, our findings highlight the need to appraise the cost-effectiveness of evidence-based strategies that reduce the risk of diabetes-related microvascular complications in Brazilian patients.

Cost of macrovascular complications in people with diabetes from a public healthcare perspective: a retrospective database study in Brazil

Aims: To evaluate costs in patients with diabetes who experienced a macrovascular complication from a Brazilian public healthcare system perspective.Materials and methods: A retrospective, observational study that utilized the database of the Brazilian Unified Health System (DATASUS). Data for direct medical costs (hospitalization and outpatient) were extracted for patients with diabetes and a macrovascular complication (1 January 2012-31 December 2018) and converted to US Dollars (2019 USD). Mixed-effects logistic regression explored associations between demographic and clinical characteristics with the incurrence of high direct medical costs.Results: In total, 1,668 (0.2%) patients with diabetes met study inclusion criteria and experienced a macrovascular complication, either alone (N = 1,193) or together with a microvascular complication (N = 475). Median [95% CI] annual costs (USD/patient) were 130.5 [90.7; 264.2] at baseline, increasing to 334.0 [182.2; 923.5] in the first year after the complication. The odds of incurring high costs were significantly elevated in the first and second year (vs. baseline), and in patients who experienced a macrovascular and microvascular complication (vs. macrovascular alone) (all p < 0.001).Limitations: The DATASUS database does not cover primary care (it covers secondary and tertiary care), adding a selection bias to the sample. Additionally, our findings may not be representative of the entire Brazilian population given that approximately 75% of the population of Brazil depend exclusively on the SUS, while the remaining 25% have some access to private healthcare.Conclusions: This study has demonstrated higher medical costs from the perspective of the Brazilian public healthcare system in patients with diabetes after experiencing a macrovascular complication, either alone or in conjunction with a microvascular complication, in comparison with costs before the complication(s). In addition to providing up-to-date cost estimates, our findings highlight the need to implement strategies to reduce the cardiovascular risk in Brazilian patients with diabetes and drive cost savings.

Role of different nutrient profiling models in identifying targeted foods for front-of-package food labelling in Brazil

Objective:

To compare the degree of strictness and agreement of different nutrient profiling models (NPM) used to identify which foods would be required to show front-of-package (FOP) warning labels.

Design:

Using data of 11 434 packaged foods found in the five largest food retailers in Brazil, we used two published NPM: the Pan American Health Organization (PAHO) model and the NPM used in the Chilean nutritional FOP labelling policy, and compared them with a NPM proposed by the Brazilian National Health Surveillance Agency (Anvisa). The proportion of foods that would be required to show FOP warning labels was calculated overall and by food category. We also tested whether a modified version of the PAHO NPM would behave similarly to the original version.

Setting:

Brazil.

Results:

Two-thirds of the packaged products (62 %) would receive FOP warning labels under the PAHO NPM, as compared with 45 % of products using the proposed Anvisa NPM and 41 % if the Chilean NPM was applied. The PAHO NPM identified more foods high in critical nutrients such as sweetened dairy and non-dairy beverages, canned vegetables and convenience foods. Overall agreement between models was considered good with kappa coefficient ranging from 0·57 to 0·92 but was lower for some food categories.

Conclusions:

We found variations in the degree of strictness and agreement between assessed NPM. The PAHO NPM identified more foods and beverages high in sugar which are among the top contributors to sugar and energy intake in Brazil.