Evidence map›Paper›PMID 32993699›Full record

ArticlePopulation health metrics2020

The burden of non-communicable diseases attributable to high BMI in Brazil, 1990-2017: findings from the Global Burden of Disease Study.

Mariana Santos Felisbino-Mendes, Ewerton Cousin, Deborah Carvalho Malta, Ísis Eloah Machado, Antonio Luiz Pinho Ribeiro, Bruce Bartholow Duncan, Maria Inês Schmidt, Diego Augusto Santos Silva, Scott Glenn, Ashkan Afshin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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  9. Association of two cut-off points for theThe British journal of nutrition · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Mariana Santos Felisbino-MendesNursing School, Department of Maternal and Child Nursing and Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Ewerton CousinPostgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Deborah Carvalho MaltaNursing School, Department of Maternal and Child Nursing and Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Ísis Eloah MachadoPostgraduate Program in Nursing, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Antonio Luiz Pinho RibeiroSchool of Medicine, Department of Internal Medicine and Hospital das Clínicas, Telehealth Center, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Bruce Bartholow DuncanPostgraduate Program in Nursing, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Maria Inês SchmidtPostgraduate Program in Nursing, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Diego Augusto Santos SilvaDepartamento de Educação Física, Universidade Federal de Santa Catarina, Florianópolis, Brazil.
Scott GlennInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Ashkan AfshinInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Gustavo Velasquez-MelendezNursing School, Department of Maternal and Child Nursing and Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. guveme@ufmg.br.ORCID 0000-0001-8349-5042
Universidade Federal de Minas Gerais · BRUniversity of Washington · USHospital das Clínicas da Universidade Federal de Minas Gerais · BRUniversidade Federal de Ouro Preto · BRUniversidade Federal de Santa Catarina · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence and burden of disease resulting from obesity have increased worldwide. In Brazil, more than half of the population is now overweight. However, the impact of this growing risk factor on disease burden remains inexact. Using the 2017 Global Burden of Disease (GBD) results, this study sought to estimate mortality and disability-adjusted life years (DALYs) lost to non-communicable diseases caused by high body mass index (BMI) in both sexes and across age categories. This study also aimed to describe the prevalence of overweight and obesity throughout the states of Brazil.

methodsAge-standardized prevalence of overweight and obesity were estimated between 1990 and 2017. A comparative risk assessment was applied to estimate DALYs and deaths for non-communicable diseases and for all causes linked to high BMI.

resultsThe prevalence of overweight and obesity increased during the period of analysis. Overall, age-standardized prevalence of obesity in Brazil was higher in females (29.8%) than in males (24.6%) in 2017; however, since 1990, males have presented greater rise in obesity (244.1%) than females (165.7%). Increases in prevalence burden were greatest in states from the North and Northeast regions of Brazil. Overall, burden due to high BMI also increased from 1990 to 2017. In 2017, high BMI was responsible for 12.3% (8.8-16.1%) of all deaths and 8.4% (6.3-10.7%) of total DALYs lost to non-communicable diseases, up from 7.2% (4.1-10.8%), and 4.6% (2.4-6.0%) in 1990, respectively. Change due to risk exposure is the leading contributor to the growth of BMI burden in Brazil. In 2017, high BMI was responsible for 165,954 deaths and 5,095,125 DALYs. Cardiovascular disease and diabetes have proven to be the most prevalent causes of deaths, along with DALYs caused by high BMI, regardless of sex or state.

conclusionsThis study demonstrates increasing age-standardized prevalence of obesity in all Brazilian states. High BMI plays an important role in disease burdens in terms of cardiovascular diseases, diabetes, and all causes of mortality. Assessing levels and trends in exposures to high BMI and the resulting disease burden highlights the current priority for primary prevention and public health action initiatives focused on obesity.

Indexed as

Age DistributionBody Mass IndexBrazilCost of IllnessFemaleGlobal Burden of DiseaseGlobal HealthHumansLife ExpectancyMaleNoncommunicable DiseasesObesityOverweightQuality-Adjusted Life YearsResidence CharacteristicsSex DistributionBody mass indexCardiovascular diseaseComparative risk assessmentObesityRisk factors

Identifiers

PMID32993699
PMCPMC7525961
OpenAlexW3089850592

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.