Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis

Purpose The relationship between changes in muscle size and strength may be affected by both measurement and statistical approaches, but their effects have not been fully considered or quantified. Therefore, the purpose of this investigation was to explore how different methods of measurement and an...

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Main Authors: Andrew D. Vigotsky, Brad J. Schoenfeld, Christian Than, J. Mark Brown
Format: Article
Language:English
Published: PeerJ Inc. 2018-06-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/5071.pdf
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author Andrew D. Vigotsky
Brad J. Schoenfeld
Christian Than
J. Mark Brown
author_facet Andrew D. Vigotsky
Brad J. Schoenfeld
Christian Than
J. Mark Brown
author_sort Andrew D. Vigotsky
collection DOAJ
description Purpose The relationship between changes in muscle size and strength may be affected by both measurement and statistical approaches, but their effects have not been fully considered or quantified. Therefore, the purpose of this investigation was to explore how different methods of measurement and analysis can affect inferences surrounding the relationship between hypertrophy and strength gain. Methods Data from a previous study—in which participants performed eight weeks of elbow flexor training, followed by an eight-week period of detraining—were reanalyzed using different statistical models, including standard between-subject correlations, analysis of covariance, and hierarchical linear modeling. Results The associative relationship between strength and hypertrophy is highly dependent upon both method/site of measurement and analysis; large differences in variance accounted for (VAF) by the statistical models were observed (VAF = 0–24.1%). Different sites and measurements of muscle size showed a range of correlations coefficients with one another (r = 0.326–0.945). Finally, exploratory analyses revealed moderate-to-strong relationships between within-individual strength-hypertrophy relationships and strength gained over the training period (ρ = 0.36–0.55). Conclusions Methods of measurement and analysis greatly influence the conclusions that may be drawn from a given dataset. Analyses that do not account for inter-individual differences may underestimate the relationship between hypertrophy and strength gain, and different methods of assessing muscle size will produce different results. It is suggested that robust experimental designs and analysis techniques, which control for different mechanistic sources of strength gain and inter-individual differences (e.g., muscle moment arms, muscle architecture, activation, and normalized muscle force), be employed in future investigations.
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spelling doaj.art-504a71f657374557bedfcc0ac343db832023-12-03T11:01:19ZengPeerJ Inc.PeerJ2167-83592018-06-016e507110.7717/peerj.5071Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysisAndrew D. Vigotsky0Brad J. Schoenfeld1Christian Than2J. Mark Brown3Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States of AmericaDepartment of Health Sciences, City University of New York, Herbert H. Lehman College, Bronx, NY, United States of AmericaSchool of Biomedical Sciences, University of Queensland, St. Lucia, Queensland, AustraliaSchool of Biomedical Sciences, University of Queensland, St. Lucia, Queensland, AustraliaPurpose The relationship between changes in muscle size and strength may be affected by both measurement and statistical approaches, but their effects have not been fully considered or quantified. Therefore, the purpose of this investigation was to explore how different methods of measurement and analysis can affect inferences surrounding the relationship between hypertrophy and strength gain. Methods Data from a previous study—in which participants performed eight weeks of elbow flexor training, followed by an eight-week period of detraining—were reanalyzed using different statistical models, including standard between-subject correlations, analysis of covariance, and hierarchical linear modeling. Results The associative relationship between strength and hypertrophy is highly dependent upon both method/site of measurement and analysis; large differences in variance accounted for (VAF) by the statistical models were observed (VAF = 0–24.1%). Different sites and measurements of muscle size showed a range of correlations coefficients with one another (r = 0.326–0.945). Finally, exploratory analyses revealed moderate-to-strong relationships between within-individual strength-hypertrophy relationships and strength gained over the training period (ρ = 0.36–0.55). Conclusions Methods of measurement and analysis greatly influence the conclusions that may be drawn from a given dataset. Analyses that do not account for inter-individual differences may underestimate the relationship between hypertrophy and strength gain, and different methods of assessing muscle size will produce different results. It is suggested that robust experimental designs and analysis techniques, which control for different mechanistic sources of strength gain and inter-individual differences (e.g., muscle moment arms, muscle architecture, activation, and normalized muscle force), be employed in future investigations.https://peerj.com/articles/5071.pdfHierarchical linear modelsRepeated measuresStrengthHypertrophyAnalysis of covarianceRegression
spellingShingle Andrew D. Vigotsky
Brad J. Schoenfeld
Christian Than
J. Mark Brown
Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
PeerJ
Hierarchical linear models
Repeated measures
Strength
Hypertrophy
Analysis of covariance
Regression
title Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
title_full Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
title_fullStr Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
title_full_unstemmed Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
title_short Methods matter: the relationship between strength and hypertrophy depends on methods of measurement and analysis
title_sort methods matter the relationship between strength and hypertrophy depends on methods of measurement and analysis
topic Hierarchical linear models
Repeated measures
Strength
Hypertrophy
Analysis of covariance
Regression
url https://peerj.com/articles/5071.pdf
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