Evidence map›Paper›PMID 38931283›Full record

ArticleNutrients2024

Factor Associated with Adherence to the Protein and Fat Counting Strategy by Adults with Type 1 Diabetes Mellitus.

Gabriela Correia Uliana, Juliana Carvalho da Costa, Ayla Rocha Quaresma, Arthur Andrade da Fonseca, Kaory Brito Ohaze, Layla Sandia Cezário Alves, Daniela Lopes Gomes

Abstract read
In one paragraph

Article in Nutrients, 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
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Gabriela Correia UlianaPostgraduate Program in Neurosciences and Behavior, Nucleus of Behavior Theory Research, Federal University of Pará, Belém 66075-110, Brazil.
Juliana Carvalho da CostaFaculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Ayla Rocha QuaresmaFaculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Arthur Andrade da FonsecaFaculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Kaory Brito OhazeFaculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Layla Sandia Cezário AlvesFaculty of Nutrition, Federal University of Pará, Belém 66075-110, Brazil.
Daniela Lopes GomesPostgraduate Program in Neurosciences and Behavior, Nucleus of Behavior Theory Research, Federal University of Pará, Belém 66075-110, Brazil.ORCID 0000-0002-0092-3396

Funding

PROPESP PAPQ 2024
6 · The paper itself

Abstract

Carbohydrate counting is one of the dietary strategies used for the management of type 1 diabetes (T1DM), and counting proteins and fats allows individuals to achieve better glycemic and metabolic control, reducing glycemic variability and long-term complications. The aim of this paper is to analyze the factors associated with adherence to the protein- and fat-counting strategy in adults with T1DM. This cross-sectional study was conducted from November 2021 to June 2022 through an online questionnaire. We applied Pearson's Chi-square test with adjusted residual analysis and a binomial logistic regression test using SPSS software, version 24.0, considering

Indexed as

Diabetes Mellitus, Type 1Dietary ProteinsGlycated HemoglobinAdultBlood GlucoseCross-Sectional StudiesDietary FatsFemaleGlycemic ControlHumansMaleMiddle AgedPatient ComplianceSurveys and QuestionnairesYoung AdultBlood GlucoseDietary FatsDietary ProteinsGlycated Hemoglobinhemoglobin A1c protein, humandietglycemic controlprotein and lipid countingstrategytype 1 diabetes mellitus

Identifiers

PMID38931283
PMCPMC11206765

What OpenQuestion holds

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LicenceCC BY
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.