Evidence map›Paper›PMID 22506280›Full record

ArticleObesity surgery2012

Prediction of whole-body and segmental body composition by bioelectrical impedance in morbidly obese subjects.

Amanda Jiménez, Wilberto Omaña, Lílliam Flores, María José Coves, Diego Bellido, Verónica Perea, Josep Vidal

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In one paragraph

Article in Obesity surgery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Review
  4. Future lines of research on phase angle: Strengths and limitations.Reviews in endocrine & metabolic disorders · 2023
    Review
  5. Article
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  11. How to estimate fat mass in overweight and obese subjects.International journal of endocrinology · 2013
    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.

Amanda JiménezEndocrinology and Nutrition Department, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain. ajimene1@clinic.ub.es
Wilberto Omaña
Lílliam Flores
María José Coves
Diego Bellido
Verónica Perea
Josep Vidal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValidated equations for body composition analysis using bioelectrical impedance (BIA) in morbidly obese (MO) subjects are scarce. Thus, our aim was todevelop new equations from physical and BIA parameters to estimate whole-body and segmental body composition inMO subjects, with dual-energy X-ray absorptiometry(DXA) as the reference method.

methodsA cross-sectional study on 159 Caucasian MO subjects (female 78%, age 43.5 ± 11.8 years, BMI 45.6 ± 4.9 kg/m2) divided in two groups was conducted: model building cohort (n = 110) and model validation cohort (n 0 49). Stepwise regression analysis was used to develop specific fat free mass (FFM) and fat mass (FM) equations.

resultsGender, body weight, and height2/impedance accounted, respectively, for 89.4% (p < 0.001) and 89.3% (p < 0.001) of the variability of DXA-total FFM in the two cohorts. Using the new equation, the mean difference between the DXA-FFM and BIA-FFM estimates was +0.180 kg (95% CI: -0.34 to +0.7 kg, p 0 NS), and the resulting limits of agreement were +6.76 and −6.40 kg. Similarly, good estimates of DXA truncal-, android-, and gynoid-FM from anthropometric and BIA parameters could be obtained from weight, height2/impedance, and waist and hip circumferences (respectively, R2 adjusted: 0.657, 0.776, and 0.770; p < 0.001).

conclusionsThe new equations derived from physical and BIA parameters provide accurate estimates of body composition in MO subjects.

Indexed as

Absorptiometry, PhotonBody CompositionElectric ImpedanceAdultAlgorithmsCohort StudiesCross-Sectional StudiesFemaleHumansMaleObesity, MorbidPredictive Value of TestsReproducibility of ResultsSpainStatistics, Nonparametric

Identifiers

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Registered trials

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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.