Evidence map›Paper›PMID 38366269›Full record

ArticleEuropean journal of nutrition2024

Dietary patterns and adiposity over time - analysis of the ELSA-Brasil.

Mariane A Alves, Paulo A Lotufo, Isabela Benseñor, Dirce Maria L Marchioni

Abstract read
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In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Relationship Between Brazilian Dietary Patterns and the Global Syndemic: Data from the CUME Study.International journal of environmental research and public health · 2025
    Article
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

4 authors at 1 institution in 1 country.

Mariane A AlvesDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9628-7522
Paulo A LotufoCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-4856-8450
Isabela BenseñorCenter for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6723-5678
Dirce Maria L MarchioniDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil. marchioni@usp.br.ORCID http://orcid.org/0000-0002-6810-5779
Universidade de São Paulo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2011/12256-4Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/13486-5
6 · The paper itself

Abstract

purposeCombining different statistical methods to identify dietary patterns (DP) may provide new insights on how diet is associated with adiposity. This study investigated the association of DP derived from three data-driven methods and adiposity indicators over time.

methodsThis study used data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). DP were identified at baseline applying three statistical methods: Factor Analysis (FA), Treelet Transform (TT), and Reduced Rank Regression (RRR). The association between DP and adiposity indicators (weight, body mass index, waist circumference, body fat percentage and fat mass index) over the period of 8.2 years of follow-up was assessed by linear mixed-models.

resultsConvenience DP, marked by unhealthy food groups, was associated with higher adiposity over the follow-up period, regardless of the method applied. The DP identified by TT and marked by high consumption of rice and beans was associated with lower adiposity, whereas the similar DP identified by FA, but additionally characterised by consumption of poultry and red meat was associated with higher adiposity. Prudent DP, marked by plant-based food groups and fish, identified by FA was associated with lower adiposity across the median follow-up time.

conclusionApplying different methods to identify DP showed that a convenience DP was associated with higher adiposity independent of the method applied. We also identified the nuances within adherence to a Brazilian traditional dietary pattern characterised by the consumption of rice and beans, that only when combined with reduced consumption of animal protein and unhealthy foods was associated with lower adiposity over time.

Indexed as

AdiposityDietAdultAgedBody Mass IndexBrazilFeeding BehaviorFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedWaist CircumferenceAdiposityBody fat percentageDietary patternsFat mass indexLongitudinal studyWaist circumference

Identifiers

PMID38366269
OpenAlexW4391885206

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.