Evidence map›Paper›PMID 31783760›Full record

ArticleJournal of the International Society of Sports Nutrition2019

Changes in total and segmental bioelectrical resistance are correlated with whole-body and segmental changes in lean soft tissue following a resistance training intervention.

Grant M Tinsley, Patrick S Harty, M Lane Moore, Jozo Grgic, Analiza M Silva, Luis B Sardinha

Abstract read
In one paragraph

Article in Journal of the International Society of Sports Nutrition, 2019. 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.

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  10. Phase angle, muscle tissue, and resistance training.Reviews in endocrine & metabolic disorders · 2023
    Review
  11. Bioimpedance basics and phase angle fundamentals.Reviews in endocrine & metabolic disorders · 2023
    Review
  12. Article
  13. Article
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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

6 authors.

Grant M TinsleyEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79424, USA. grant.tinsley@ttu.edu.ORCID http://orcid.org/0000-0002-0230-6586
Patrick S HartyEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79424, USA.
M Lane MooreEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79424, USA.
Jozo GrgicInstitute for Health and Sport (IHES), Victoria University, Melbourne, Australia.
Analiza M SilvaDepartment of Sport and Health, University of Lisbon, Lisbon, Portugal.
Luis B SardinhaDepartment of Sport and Health, University of Lisbon, Lisbon, Portugal.

Funding

MTI Biotech Inc. 18-0204Texas Tech University N/A
6 · The paper itself

Abstract

backgroundRaw bioelectrical values can be used to assess physiological outcomes, though limited information is available concerning the relationships between changes in these values and changes in other variables of interest.

methodsThis investigation quantified the relationships between total and segmental changes in raw bioelectrical variables (i.e., resistance, reactance, and phase angle) and corresponding whole-body and segmental changes in independently assessed body composition. Resistance-trained females (n = 31, body mass index: 22.8 ± 2.6 kg/m

resultsLean soft tissue of the whole body (+ 3.2% [2.1, 4.4]; mean [95% confidence interval]) and each body segment (+ 2.8 to 6.3%) increased as a result of the intervention. Group-level changes in total (- 2.4% [- 5.2, 0.3]) and segmental fat mass were not statistically significant. Significant decreases in total resistance (- 2.1% [- 3.7, - 0.6] at 50 kHz) and increases in phase angle (+ 4.2% [2.5, 5.9] at 50 kHz) were observed, with minimal changes in reactance and varying changes in segmental values. Moderate to strong negative correlations (0.63 ≤ |r| ≤ 0.83, p ≤ 0.001) were found between changes in lean soft tissue and changes in resistance for the whole body, trunk, and arms. No significant correlations were identified between changes in fat mass or bone mineral content and changes in any bioelectrical variable.

conclusionsTotal and segmental changes in resistance were associated with corresponding total and segmental changes in lean soft tissue following a resistance training intervention, while fewer associations were identified between changes in other bioelectrical parameters (i.e., reactance and phase angle) and body composition variables (e.g., fat mass and bone mineral content). Measurement frequency and body segment appeared to influence the presence and strength relationships between bioelectrical and body composition variables. These findings suggest that researchers and practitioners utilizing bioimpedance technology may benefit from examining raw resistance values to enhance detection of physiological adaptations to exercise interventions.

Indexed as

Body CompositionElectric ImpedanceResistance TrainingAbsorptiometry, PhotonAdaptation, PhysiologicalAdiposityAdultBody Mass IndexBone DensityFemaleHumansYoung AdultBioelectrical impedance analysisPhase angleReactanceResistanceResistance exerciseResistance training

Identifiers

PMID31783760
PMCPMC6883592

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LicenceCC BY
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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.