Evidence map›Paper›PMID 31619309›Full record

ArticlePublic health nutrition2020

Ultra-processed foods, incident overweight and obesity, and longitudinal changes in weight and waist circumference: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Scheine Leite Canhada, Vivian Cristine Luft, Luana Giatti, Bruce Bartholow Duncan, Dora Chor, Maria de Jesus M da Fonseca, Sheila Maria Alvim Matos, Maria Del Carmen Bisi Molina, Sandhi Maria Barreto, Renata Bertazzi Levy and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

119 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  7. Ultra-Processed Food Availability and Noncommunicable Diseases: A Systematic Review.International journal of environmental research and public health · 2021
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  19. High-dimensional partial linear model with trend filtering.Electronic journal of statistics · 2026
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59 more citing papers are in PubMed but not listed here.

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.

Scheine Leite CanhadaPostgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina - Campus Saúde, R. Ramiro Barcelos 2400, Porto Alegre, RS90035-003, Brazil.ORCID 0000-0002-4324-9848
Vivian Cristine LuftPostgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina - Campus Saúde, R. Ramiro Barcelos 2400, Porto Alegre, RS90035-003, Brazil.
Luana GiattiPostgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Bruce Bartholow DuncanPostgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina - Campus Saúde, R. Ramiro Barcelos 2400, Porto Alegre, RS90035-003, Brazil.
Dora ChorNational School of Public Health, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Maria de Jesus M da FonsecaNational School of Public Health, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Sheila Maria Alvim MatosPostgraduate Program in Collective Health, Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brazil.
Maria Del Carmen Bisi MolinaPostgraduate Program in Nutrition and Health, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.ORCID 0000-0002-8614-988X
Sandhi Maria BarretoPostgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID 0000-0001-7383-7811
Renata Bertazzi LevyDepartment of Preventive Medicine, School of Medicine, Universidade de São Paulo, São Paulo, SP, Brazil.
Maria Inês SchmidtPostgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Faculdade de Medicina - Campus Saúde, R. Ramiro Barcelos 2400, Porto Alegre, RS90035-003, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the association of ultra-processed food (UPF) consumption with gains in weight and waist circumference, and incident overweight/obesity, in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort.

designWe applied FFQ at baseline and categorized energy intake by degree of processing using the NOVA classification. Height, weight and waist circumference were measured at baseline and after a mean 3·8-year follow-up. We assessed associations, through Poisson regression with robust variance, of UPF consumption with large weight gain (1·68 kg/year) and large waist gain (2·42 cm/year), both being defined as ≥90th percentile in the cohort, and with incident overweight/obesity.

settingBrazil.

participantsCivil servants of Brazilian public academic institutions in six cities (n 11 827), aged 35-74 years at baseline (2008-2010).

resultsUPF provided a mean 24·6 (sd 9·6) % of ingested energy. After adjustment for smoking, physical activity, adiposity and other factors, fourth (>30·8 %) v. first (<17·8 %) quartile of UPF consumption was associated (relative risk (95 % CI)) with 27 and 33 % greater risk of large weight and waist gains (1·27 (1·07, 1·50) and 1·33 (1·12, 1·58)), respectively. Similarly, those in the fourth consumption quartile presented 20 % greater risk (1·20 (1·03, 1·40)) of incident overweight/obesity and 2 % greater risk (1·02; (0·85, 1·21)) of incident obesity. Approximately 15 % of cases of large weight and waist gains and of incident overweight/obesity could be attributed to consumption of >17·8 % of energy as UPF.

conclusionsGreater UPF consumption predicts large gains in overall and central adiposity and may contribute to the inexorable rise in obesity seen worldwide.

Indexed as

Body-Weight TrajectoryWaist CircumferenceAdultAgedBody WeightBrazilFast FoodsFemaleFollow-Up StudiesHumansIncidenceLongitudinal StudiesMaleMiddle AgedNutrition SurveysObesityFood handlingObesityUltra-processed foodWeight gain

Identifiers

PMID31619309
PMCPMC7282862

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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.