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. 2022 Jan 28;55(suppl 1):e0282.
doi: 10.1590/0037-8682-0282-2021. eCollection 2022.

Burden of non-communicable diseases attributable to dietary risks in Brazil, 1990-2019: an analysis of the Global Burden of Disease Study 2019

Affiliations

Burden of non-communicable diseases attributable to dietary risks in Brazil, 1990-2019: an analysis of the Global Burden of Disease Study 2019

Ísis Eloah Machado et al. Rev Soc Bras Med Trop. .

Abstract

Introduction: An unhealthy diet is a modifiable risk factor for non-communicable diseases (NCDs), one of the most important public health problems in Brazil. This study aimed to analyze the burden of NCDs attributable to dietary risks in Brazil between 1990-2019.

Methods: Secondary data from the Global Burden of Disease Study were used to estimate the burden attributable to fifteen dietary risks in Brazil. The main sources of data for Brazil were national surveys and international databases. A comparative risk assessment was used to obtain the population attributable fraction. We described the intake of each dietary risk and the distribution of number and rates of deaths and Disability-adjusted life years (DALYs) attributable to diet by sex, age, state, and year from 1990-2019.

Results: Cardiovascular diseases, diabetes mellitus, and neoplasms were the main NCDs attributable to an unhealthy diet. Age-standardized mortality and DALYs rates attributable to unhealthy diet decreased between 1990-2019 (-51.5% and -48.8, respectively). Diet high in red meat and sodium, and low in whole grains were the three main risk factors contributing to the burden of NCDs both in 1990 and 2019. The burden of NCDs was higher among males in the middle-aged population (around 50 years), as well as in the states of Maranhão, Rio de Janeiro, and Alagoas.

Conclusions: The present study found a suboptimum diet among the Brazilian population. The major contributors to this burden were diet high in red meat and sodium and low in whole grains. This study supports priorities in public policies on food and nutrition to reduce the burden of NCDs.

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Conflict of interest statement

Conflict of Interest: The authors declare that there are no conflicts of interest.

Figures

FIGURE 1:
FIGURE 1:. Mean intake of dietary factors among adults aged 25 years or older in Brazil and its states in 2019.
FIGURE 2:
FIGURE 2:. Number of deaths (A) and DALYs (B) due to non-communicable diseases attributable to dietary risks for both sexes and all ages in Brazil, 2019.
FIGURE 3:
FIGURE 3:. Ranking of the age-standardized mortality rate per 100,000 inhabitants (A) and DALYs rate per 100,000 inhabitants (B) due to non-communicable diseases attributable to total and individual dietary risks for both sexes in Brazil and the percentage change from 1990 to 2019.
FIGURE 4:
FIGURE 4:. Proportion of deaths among male (A) and female (B) individuals and proportion of DALYs among male (C) and female (D) individuals due to non-communicable diseases attributable to dietary risks by sex and age in Brazil, 2019.
FIGURE 5:
FIGURE 5:. Proportion of disability-adjusted life years (DALYs) due non-communicable diseases attributable to dietary risks for both sexes and all ages in Brazil its states, 2019. Legend: AC: Acre; AL: Alagoas; AP: Amapá; AM: Amazonas; BA: Bahia; CE: Ceará; DF: Distrito Federal; ES: Espírito Santo; GO: Goiás; MA: Maranhão; MT: Mato Grosso; MS: Mato Grosso do Sul; MG: Minas Gerais; PA: Pará; PB: Paraíba; PR: Paraná; PE: Pernambuco; PI: Piauí; RJ: Rio de Janeiro; RN: Rio Grande do Norte; RS: Rio Grande do Sul; RO: Rondônia; RR: Roraima; SC: Santa Catarina; SP: São Paulo; SE: Sergipe; TO: Tocantins. Note: The dark red indicates the highest proportions of total DALYs in each location. The dark blue indicates the lowest proportion of total DALYs in each location.

References

    1. World Health Organization (WHO) Global status report on noncommunicable diseases 2010. Geneva: WHO; 2011. 176 p
    1. World Health Organization (WHO) Noncommunicable diseases progress monitor 2020. Geneva: WHO; 2020. 236 p
    1. Institute for Health Metrics and Evaluation (IHME) GBD Results Tool. Seattle: IHME; 2020. [2021 Feb 21]. Available from: http://ghdx.healthdata.org/gbd-results-tool .
    1. Malta DC, Duncan BB, Schmidt MI, Teixeira R, Ribeiro ALP, Felisbino-Mendes MS, et al. Trends in mortality due to non-communicable diseases in the Brazilian adult population: national and subnational estimates and projections for 2030. Popul Health Metr. 2020;18(1):1–14. - PMC - PubMed
    1. 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):213–221. - PMC - PubMed

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