Evidence map›Paper›PMID 32164179›Full record

ReviewChildren (Basel, Switzerland)2020

Fat Mass Index (FMI) as a Trustworthy Overweight and Obesity Marker in Mexican Pediatric Population.

Melchor Alpízar, Tamara Daniela Frydman, José de Jesús Reséndiz-Rojas, Miguel Alejandro Trejo-Rangel, Jesús Manuel De Aldecoa-Castillo

Abstract readReview
In one paragraph

Review in Children (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Association of Air Pollution With Adiposity Rates in Active Runners and Inactive People.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. The Impact of Physical Activity at School on Body Fat Content in School-Aged Children.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. 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.

Melchor AlpízarSpecialized Centre for Diabetes, Obesity and Prevention of Cardiovascular Diseases, Mexico City 11650, Mexico.ORCID 0000-0002-1491-8555
Tamara Daniela FrydmanSpecialized Centre for Diabetes, Obesity and Prevention of Cardiovascular Diseases, Mexico City 11650, Mexico.ORCID 0000-0003-3207-3135
José de Jesús Reséndiz-RojasSpecialized Centre for Diabetes, Obesity and Prevention of Cardiovascular Diseases, Mexico City 11650, Mexico.
Miguel Alejandro Trejo-RangelSpecialized Centre for Diabetes, Obesity and Prevention of Cardiovascular Diseases, Mexico City 11650, Mexico.
Jesús Manuel De Aldecoa-CastilloSpecialized Centre for Diabetes, Obesity and Prevention of Cardiovascular Diseases, Mexico City 11650, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive formulas to estimate body composition in children have been explored for some time, to this date, the most accurate obesity diagnostic tool is to determine fat mass. The aim of this study is to establish cutoff points that allow for a precise interpretation of nutritional status using the Fat Mass Index (FMI) in a Mexican pediatric population. A literature review using PubMed and Cochrane databases was made, searching for research articles on childhood obesity that compared BMI, FM percentage, and FMI, as well as those proposing diagnostic cutoff points. Mathematic formulas and linear regressions were then used to make a proposal on accurate cutoff points for this population. Our findings show that FM percentage is less precise than BMI and FMI in diagnosing obesity, and FMI seems to be a more complete tool for assessment as it differentiates fat and muscle mass of the total body weight. Both BMI and FMI should be considered when clinical evaluations regarding weight, with BMI complementing FMI by establishing fat-free mass. Our proposed cutoff points need to be validated in this population.

Indexed as

adipose tissuebody mass indexpediatric obesity

Identifiers

PMID32164179
PMCPMC7140880

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.