Evidence map›Paper›PMID 39599119›Full record

Observational studySensors (Basel, Switzerland)2024

Influence of Bladder Filling on Parameters of Body Composition by Bioimpedance Electrical Analysis: Observational Study.

Asunción Ferri-Morales, Sara Ando-Lafuente, Cristina Lirio-Romero, Emanuele Marzetti, Elisabeth Bravo-Esteban

Abstract readObservational Study
In one paragraph

Observational study in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Asunción Ferri-MoralesFaculty of Nursing and Physiotherapy, University of Castilla La Mancha, 45071 Toledo, Spain.ORCID 0000-0001-5638-4718
Sara Ando-LafuenteFaculty of Nursing and Physiotherapy, University of Castilla La Mancha, 45071 Toledo, Spain.
Cristina Lirio-RomeroFaculty of Nursing and Physiotherapy, University of Castilla La Mancha, 45071 Toledo, Spain.ORCID 0000-0001-6398-878X
Emanuele MarzettiDepartment of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0001-9567-6983
Elisabeth Bravo-EstebanFaculty of Nursing and Physiotherapy, University of Castilla La Mancha, 45071 Toledo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) is a widely used method for estimating body composition, and its accuracy may be influenced by various factors, including bladder filling. This study aims to investigate the impact of bladder filling on the accuracy of BIA measurements. An experimental crossover study was conducted with sedentary young adults. The influence of bladder filling on total body water (TBW), fat mass (FM), fat-free mass (FFM), and basal metabolic rate (BMR) was assessed. Participant in underwear followed an overnight fast. They were instructed to abstain from vigorous physical activity and alcohol for at least 24 h prior to the session. The results obtained from single-frequency and multi-frequency BIA devices were compared. The findings suggest that bladder filling does not affect measured impedance; however, changes in weight following bladder voiding influenced derived BIA results. Specifically, TBW, FM, and BMR values significantly reduced after voiding (

Indexed as

Body CompositionElectric ImpedanceUrinary BladderAdultBody WaterCross-Over StudiesFemaleHumansMaleYoung Adultbladderbody compositionbody mass indexphysical fitnessskeletal muscle

Identifiers

PMID39599119
PMCPMC11598033

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.