Evidence map›Paper›PMID 37107990›Full record

ArticleHealthcare (Basel, Switzerland)2023

Association between Diet and Adiposity in Adults: Influence of Sedentary Behavior Patterns.

Victor Spiandor Beretta, William Rodrigues Tebar, Catarina Covolo Scarabottolo, Leandro Dragueta Delfino, Bruna Thamyres Ciccotti Saraiva, Amanda Barbosa Santos, Ewerton Pegorelli Antunes, Isabella Cristina Leoci, Gerson Ferrari, Diego Giulliano Destro Christofaro

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

10 authors.

Victor Spiandor BerettaPhysical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.ORCID 0000-0002-4640-7733
William Rodrigues TebarCentre of Clinical and Epidemiological Research, University Hospital, University of Sao Paulo, Sao Paulo 05403-000, Brazil.ORCID 0000-0002-6192-4667
Catarina Covolo ScarabottoloGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.
Leandro Dragueta DelfinoGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.
Bruna Thamyres Ciccotti SaraivaGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.ORCID 0000-0002-0902-0433
Amanda Barbosa SantosGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.ORCID 0000-0003-1141-245X
Ewerton Pegorelli AntunesGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.
Isabella Cristina LeociGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.
Gerson FerrariFaculty of Health Sciences, Universidad Autónoma de Chile, Providencia 7500912, Chile.ORCID 0000-0003-3177-6576
Diego Giulliano Destro ChristofaroGraduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), Sao Paulo 19060-900, Brazil.

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance code: 001São Paulo Research Foundation 2016/02258-3São Paulo State University Edital 13/2022/PROPe
6 · The paper itself

Abstract

This study analyzed the influence of sedentary behavior (SB) on the association between dietary patterns and adiposity in community-dwelling adults. Eight hundred and forty-three adults (age: 56.5 ± 18.3 years) participated in this cross-sectional epidemiological study. Dietary patterns were evaluated using self-report questions regarding the weekly frequency of consumption of certain foods. Adiposity was determined using anthropometric measurements of weight, waist circumference, and height. SB was evaluated according to the time spent on screen devices. The usual physical activity level and socioeconomic status were considered confounding factors. Associations were determined using multivariate linear models with simultaneous adjustments for confounding variables. A statistical analysis indicated that fruit consumption was negatively related to the body mass index, regardless of the adjustment for SB domains. Red meat consumption was positively related to the body mass index, and fried food consumption was positively related to the waist-to-height ratio, regardless of the adjustment for SB domains. The consumption of fried food was positively associated with global and central adiposity after the adjustments for confounding factors and time spent on screen devices. We concluded that dietary habits are related to adiposity in adults. However, SB domains seem to influence the relationship between body adiposity and dietary habits, mainly regarding the consumption of fried foods.

Indexed as

dietary patternepidemiologynutritionoverweightpublic healthsedentary behavior

Identifiers

PMID37107990
PMCPMC10138045

What OpenQuestion holds

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LicenceCC BY
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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.