Evidence map›Paper›PMID 36901224›Full record

ArticleInternational journal of environmental research and public health2023

Accuracy of Resting Metabolic Rate Prediction Equations in Sport Climbers.

Anna Chmielewska, Krzysztof Kujawa, Bożena Regulska-Ilow

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Anna ChmielewskaDepartment of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland.ORCID 0000-0001-7173-099X
Krzysztof KujawaStatistical Analysis Centre, Wrocław Medical University, 50-367 Wrocław, Poland.ORCID 0000-0003-2812-4702
Bożena Regulska-IlowDepartment of Dietetics and Bromatology, Wrocław Medical University, 50-367 Wrocław, Poland.ORCID 0000-0002-5941-1715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting metabolic rate (RMR) represents the energy required to maintain vital body functions. In dietary practice, RMR is determined by predictive equations on the basis of using body weight or fat-free mass. Our study aimed to assess whether predictive equations used to estimate RMR are reliable tools for estimating the energy requirements of sport climbers. The study included 114 sport climbers whose RMR was measured with a Fitmate WM. Anthropometric measurements were performed with X-CONTACT 356. The resting metabolic rate was measured by indirect calorimetry and was compared with the RMR estimated by 14 predictive equations on the basis of using body weight/fat-free mass. All equations underestimated RMR in male and female climbers, except for De Lorenzo's equation in the group of women. The De Lorenzo equation demonstrated the highest correlation with RMR in both groups. The results of the Bland-Altman tests revealed an increasing measurement error with increasing metabolism for most of the predictive equations in male and female climbers. All equations had low measurement reliability according to the intraclass correlation coefficient. Compared with the indirect calorimetry measurement results, none of the studied predictive equations demonstrated high reliability. There is a need to develop a highly reliable predictive equation to estimate RMR in sport climbers.

Indexed as

Basal MetabolismEnergy MetabolismBody Mass IndexBody WeightFemaleHumansMalePredictive Value of TestsReproducibility of Resultsbasal metabolismindirect calorimetrysport climbing

Identifiers

PMID36901224
PMCPMC10001726

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