Evidence map›Paper›PMID 18778488›Full record

ReviewNutrition journal2008

Is bioelectrical impedance accurate for use in large epidemiological studies?

Mahshid Dehghan, Anwar T Merchant

Open access · goldAbstract readReview
In one paragraph

Review in Nutrition journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 3% of its field
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

192 citing papers in PubMed, 4 syntheses or guidelines pooled it, 502 citations in OpenAlex.

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  12. Effects of Ramadan Intermittent Fasting on Gut Hormones and Body Composition in Males with Obesity.International journal of environmental research and public health · 2020
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132 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Mahshid DehghanPopulation Health Research Institute, McMaster University, Hamilton, ON, Canada. mahshid@ccc.mcmaster.ca
Anwar T Merchant
McMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Percentage of body fat is strongly associated with the risk of several chronic diseases but its accurate measurement is difficult. Bioelectrical impedance analysis (BIA) is a relatively simple, quick and non-invasive technique, to measure body composition. It measures body fat accurately in controlled clinical conditions but its performance in the field is inconsistent. In large epidemiologic studies simpler surrogate techniques such as body mass index (BMI), waist circumference, and waist-hip ratio are frequently used instead of BIA to measure body fatness. We reviewed the rationale, theory, and technique of recently developed systems such as foot (or hand)-to-foot BIA measurement, and the elements that could influence its results in large epidemiologic studies. BIA results are influenced by factors such as the environment, ethnicity, phase of menstrual cycle, and underlying medical conditions. We concluded that BIA measurements validated for specific ethnic groups, populations and conditions can accurately measure body fat in those populations, but not others and suggest that for large epidemiological studies with diverse populations BIA may not be the appropriate choice for body composition measurement unless specific calibration equations are developed for different groups participating in the study.

Indexed as

Electric ImpedanceEthnicityAdipose TissueAge FactorsBody CompositionEpidemiologic StudiesFemaleHumansMaleModels, BiologicalPredictive Value of TestsReference StandardsReproducibility of ResultsSensitivity and SpecificitySex Factors

Identifiers

PMID18778488
PMCPMC2543039
OpenAlexW2096963947

What OpenQuestion holds

Textmetadata
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.