Evidence map›Paper›PMID 36091388›Full record

ArticleFrontiers in physiology2022

Fat-fat-free index in body mass assessment in young people.

Agnieszka Chwałczyńska, Aureliusz Kosendiak, Krzysztof Andrzej Sobiech, Waldemar Andrzejewski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. 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
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  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

4 authors at 2 institutions in 1 country.

Agnieszka ChwałczyńskaFaculty of Physiotherapy, Wroclaw University of Health and Sport Sciences, Wrocław, Poland.
Aureliusz KosendiakStudy of Physical Education and Sport, Wroclaw Medical University, Wrocław, Poland.
Krzysztof Andrzej SobiechFaculty of Physiotherapy, Wroclaw University of Health and Sport Sciences, Wrocław, Poland.
Waldemar AndrzejewskiFaculty of Physiotherapy, Wroclaw University of Health and Sport Sciences, Wrocław, Poland.
University School of Physical Education in Wroclaw · PLWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to personalize the classification of body weight using the fat-fat-free (FFF) index with the percentage of body fat and to develop classification standards for the FFF index for men aged 18-25 years. Moreover, 1,642 adolescents (1,200 ♀) were examined. Using body composition analyzers, weight was determined, as well as overall and segmental body composition. Based on the obtained values for fat mass and fat-free tissue mass, an overall FFF index was calculated. According to the BMI classification, 9% of ♀ and 6% of ♂ are underweight, 29% of ♀ and 13% of ♂ are overweight, and 5% of the subjects are obese. Women and men classified in the same group according to BMI differed statistically significantly in terms of body weight, FM%, and FFM. In contrast to BMI and FM%, the FFF used takes into account the ratio of fat mass to fat-free tissue and muscle tissue mass. The proposed classification of FFF was made taking into account the differences that arise with sexual development and physiological changes occurring in ontogeny. Assessment of body mass using the FFF index should be used as part of preventive screening for the early diagnosis and prevention of overweight and thus many chronic diseases for which overweight or obesity is a risk factor.

Indexed as

body compositionpersonalized fat–fat-free indexprevention of obesityprevention of overweightsegmental body composition

Identifiers

PMID36091388
PMCPMC9449409
OpenAlexW4293212639

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.