Evidence map›Paper›PMID 34583695›Full record

ArticleBMC medicine2021

Estimating the health and economic effects of the voluntary sodium reduction targets in Brazil: microsimulation analysis.

Eduardo Augusto Fernandes Nilson, Jonathan Pearson-Stuttard, Brendan Collins, Maria Guzman-Castillo, Simon Capewell, Martin O'Flaherty, Patrícia Constante Jaime, Chris Kypridemos

Abstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Eduardo Augusto Fernandes NilsonCenter for Epidemiological Research in Nutrition and Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-2650-4878
Jonathan Pearson-StuttardSchool of Public Health, Imperial College London, London, UK.
Brendan CollinsDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Maria Guzman-CastilloDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Patrícia Constante JaimeCenter for Epidemiological Research in Nutrition and Public Health, University of São Paulo, São Paulo, Brazil.
Chris KypridemosDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK. C.Kypridemos@liverpool.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcessive sodium consumption is one of the leading dietary risk factors for non-communicable diseases, including cardiovascular disease (CVD), mediated by high blood pressure. Brazil has implemented voluntary sodium reduction targets with food industries since 2011. This study aimed to analyse the potential health and economic impact of these sodium reduction targets in Brazil from 2013 to 2032.

methodsWe developed a microsimulation of a close-to-reality synthetic population (IMPACT

resultsThe study found that the application of the Brazilian voluntary sodium targets for packaged foods between 2013 and 2032 could prevent or postpone approximately 110,000 CVD cases (95% uncertainty intervals (UI): 28,000 to 260,000) among men and 70,000 cases among women (95% UI: 16,000 to 170,000), and also prevent or postpone approximately 2600 CVD deaths (95% UI: - 1000 to 11,000), 55% in men. The policy could also produce a net cost saving of approximately US$ 220 million (95% UI: US$ 54 to 520 million) in medical costs to the Brazilian National Health System for the treatment of CHD and stroke and save approximately US$ 71 million (95% UI: US$ 17 to170 million) in informal costs.

conclusionBrazilian voluntary sodium targets could generate substantial health and economic impacts. The reduction in sodium intake that was likely achieved from the voluntary targets indicates that sodium reduction in Brazil must go further and faster to achieve the national and World Health Organization goals for sodium intake.

Indexed as

Cardiovascular DiseasesBrazilFast FoodsFemaleHealth Care CostsHumansMaleSodiumSodiumCardiovascular diseaseFood policyGlobal healthHealth economicsHypertensionPublic healthSodiumSodium reductionSodium targets

Identifiers

PMID34583695
PMCPMC8479920

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.