Evidence map›Paper›PMID 38272480›Full record

ArticleCentral European journal of public health2023

Use of bioimpedance in prevention of sarcopenia in the elderly.

Mária Konečná, Janka Poráčová, Vincent Sedlák, Jana Gaľová, Andrea Babejová, Mária Zahatňanská, Tatiana Kimáková, Melinda Nagy, Renáta Bernátová, Milan Bernát and 1 more

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Article in Central European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Mária KonečnáDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Janka PoráčováDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Vincent SedlákDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Jana GaľováDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Andrea BabejováDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Mária ZahatňanskáInstitute of Pedagogy, Andragogy and Psychology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Tatiana KimákováDepartment of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University, Kosice, Slovak Republic.
Melinda NagyDepartment of Biology, Faculty of Education, J. Selye University, Komarno, Slovak Republic.
Renáta BernátováDepartment of Natural Sciences and Technological Disciplines, Faculty of Education, University of Presov, Presov, Slovak Republic.
Milan BernátDepartment of Physics, Mathematics and Technologies, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
Marta Mydlárová BlaščákováDepartment of Biology, Faculty of Humanities and Natural Sciences, University of Presov, Presov, Slovak Republic.
University of Prešov · SKSelye János University · SKUniversity of Pavol Jozef Šafárik · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPhysiological ageing is associated with major and progressive changes in body composition, particularly in the decline of fat-free mass, which puts older individuals at risk of geriatric syndromes such as sarcopenia and sarcopenic obesity. Bioimpedance analysis noninvasively allows the determination of body composition, thus being able to rapidly assess primary risk factors leading to sarcopenia prediction.

methodsWe conducted a study of 180 probands, 120 females (66.7%) with a mean age of 76.23 (SD = 9.29) years and 60 males (33.3%) with a mean age of 74.01 (SD = 8.99) years in cooperation with facilities for the elderly and with the inpatient department of the clinics of J.A. Reimann Hospital in Prešov. Body height, body weight, hip circumference, and waist circumference were determined by the anthropometric method, from which the values of the body mass index and waist-to-hip ratio were calculated. Active body mass, total body water, extracellular body water, intracellular body water, cell mass, body mass fat, body fat index, fat-free mass index, impedance at frequencies of 50 kHz, resistance, reactance, and phase angle were determined using the Quadscan 4000 Touch bioimpedance instrument. Appendicular skeletal muscle mass (ASMM) and muscle mass (ASMM/Ht2) were calculated. The data obtained from anthropometric and bioimpedance measurements were processed in MS Excel 2000 and STATISTICA ver. 12. The difference of means in the studied groups was tested by the t-test.

resultsPresarcopenia was diagnosed in 12 (6.66%) probands out of 180 probands, of which were 3 (5%) men and 9 women (7.5%). Phase angle, ASMM and ASMM/Ht2 values were significantly lower (p < 0.001) in men and women with presarcopenia.

conclusionBy introducing bioimpedance measurements into practice, it is possible to obtain results in a non-invasive way revealing possible presarcopenia in the elderly.

Indexed as

SarcopeniaAgedAgingBody CompositionBody Mass IndexBody WeightFemaleHumansMaleObesitybioimpedancegeriatricsphase anglereactancesarcopenia

Identifiers

PMID38272480
OpenAlexW4391235667

What OpenQuestion holds

Textmetadata
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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.