Evidence map›Paper›PMID 40568622›Full record

Observational studyJournal of nutritional science2025

Association between phase angle from bioelectrical impedance and dietary intake in athletes: a cross-sectional study.

Christianne de Faria Coelho-Ravagnani, Lorena Cristina Curado Lopes, Allan da Mata Godois, Analiza Mónica Silva, Vitor Cordeiro, Adolfo Henrique Costa Dos Santos, João Felipe Mota

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of nutritional science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Christianne de Faria Coelho-RavagnaniGraduate Program in Movement Sciences, Research Group in Exercise and Nutrition in Health and Sports Performance - PENSARE, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil.ORCID https://orcid.org/0000-0002-9082-6521
Lorena Cristina Curado LopesUniversity Center of Mineiros, Mineiros, GO, Brazil.
Allan da Mata GodoisUniversity Center of Varzea Grande, Varzea Grande, MT, Brazil.
Analiza Mónica SilvaExercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Vitor CordeiroGraduate Program in Movement Sciences, Research Group in Exercise and Nutrition in Health and Sports Performance - PENSARE, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil.
Adolfo Henrique Costa Dos SantosGraduate Program in Movement Sciences, Research Group in Exercise and Nutrition in Health and Sports Performance - PENSARE, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil.
João Felipe MotaFaculty of Nutrition, Federal University of Goias, Goiania, GO, Brazil.ORCID https://orcid.org/0000-0001-6123-7616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phase Angle (PhA) has emerged as an important parameter to monitor body composition, fluid status, muscle integrity, and physical performance among athletes. However, limited information exists regarding the associations between PhA and dietary intake, especially in athletes. This study aimed to identify the dietary intake components associated with PhA in athletes. This cross-sectional observational study was carried out with 153 athletes across 17 sports. Body composition was assessed by tetrapolar multifrequency BIA, and dietary intake by 24-hour dietary recalls administered on non-consecutive days. Reported foods and supplements were categorised into different groups (i.e. cereals, vegetables, fruits, beans and nuts, meat and eggs, dairy products, oils, and sugars), with portions established based on the food's total energy content. Fat-free mass and fat-free mass index were higher in male compared to female athletes, potentially influencing PhA (6.6º vs 5.5º; P < 0.01). Multiple linear regression analysis indicated that protein intake was a significant predictor of PhA in athletes. This association remained significant even after adjustments for sex, age, and fat-free mass (R

Indexed as

AthletesBody CompositionDietElectric ImpedanceAdolescentAdultCross-Sectional StudiesDietary ProteinsEnergy IntakeFemaleHumansMaleYoung AdultDietary Proteins24HR, 24-hour dietary recall interviewAthletesBIA, bioelectrical impedance analysisBioelectrical impedanceDietFFM, fat-free massFFMI, fat-free mass indexPhA, phase anglePhase angleProteinsR, resistanceSD, standard deviationSPSS, statistical package for social scienceXc, reactance

Identifiers

PMID40568622
PMCPMC12187483

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.