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The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol
Examinations of the effect of resistance training (RT) on muscle strength have attempted to determine differences between prescriptions, mostly examining individual training variables. The broad interaction of variables does not appear to be completely considered, nor has a dose-response function be...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775318/ https://www.ncbi.nlm.nih.gov/pubmed/35051219 http://dx.doi.org/10.1371/journal.pone.0262674 |
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author | Lyristakis, Philip M. Wundersitz, Daniel W. T. Zadow, Emma K. Mnatzaganian, George Gordon, Brett A. |
author_facet | Lyristakis, Philip M. Wundersitz, Daniel W. T. Zadow, Emma K. Mnatzaganian, George Gordon, Brett A. |
author_sort | Lyristakis, Philip M. |
collection | PubMed |
description | Examinations of the effect of resistance training (RT) on muscle strength have attempted to determine differences between prescriptions, mostly examining individual training variables. The broad interaction of variables does not appear to be completely considered, nor has a dose-response function been determined. This registered (doi.org/10.17605/OSF.IO/EH94V) systematic review with meta-analysis aims to determine if the interaction of individual training variables to derive RT dose, dosing, and dosage can influence muscle strength and determine if an optimal prescription range exists for developing muscle strength. To derive RT dose, the following calculation will be implemented: number of sets × number of repetitions × number of exercises × exercise intensity, while RT dosing factors in frequency and RT dosage considers program duration. A keyword search strategy utilising interchangeable terms for population (adult), intervention (resistance training), and outcomes (strength) will be conducted across three databases (CINAHL, MEDLINE, and SPORTDiscus). Novel to the field of exercise prescription, an analytical approach to determine the dose-response function for continuous outcomes will be used. The pooled standardised mean differences for muscle strength will be estimated using DerSimonian and Laird random effects method. Linear and non-linear dose-response relationships will be estimated by fitting fixed effects and random effects models using the one-stage approach to evaluate if there is a relationship between exercise dose, dosing and dosage and the effect on muscle strength. Maximised log-likelihood and the Akaike Information Criteria will be used to compare alternative best fitting models. Meta regressions will investigate between-study variances and a funnel plot and Egger’s test will assess publication bias. The results from this study will identify if an optimal prescription range for dose, dosing and dosage exists to develop muscle strength. |
format | Online Article Text |
id | pubmed-8775318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87753182022-01-21 The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol Lyristakis, Philip M. Wundersitz, Daniel W. T. Zadow, Emma K. Mnatzaganian, George Gordon, Brett A. PLoS One Study Protocol Examinations of the effect of resistance training (RT) on muscle strength have attempted to determine differences between prescriptions, mostly examining individual training variables. The broad interaction of variables does not appear to be completely considered, nor has a dose-response function been determined. This registered (doi.org/10.17605/OSF.IO/EH94V) systematic review with meta-analysis aims to determine if the interaction of individual training variables to derive RT dose, dosing, and dosage can influence muscle strength and determine if an optimal prescription range exists for developing muscle strength. To derive RT dose, the following calculation will be implemented: number of sets × number of repetitions × number of exercises × exercise intensity, while RT dosing factors in frequency and RT dosage considers program duration. A keyword search strategy utilising interchangeable terms for population (adult), intervention (resistance training), and outcomes (strength) will be conducted across three databases (CINAHL, MEDLINE, and SPORTDiscus). Novel to the field of exercise prescription, an analytical approach to determine the dose-response function for continuous outcomes will be used. The pooled standardised mean differences for muscle strength will be estimated using DerSimonian and Laird random effects method. Linear and non-linear dose-response relationships will be estimated by fitting fixed effects and random effects models using the one-stage approach to evaluate if there is a relationship between exercise dose, dosing and dosage and the effect on muscle strength. Maximised log-likelihood and the Akaike Information Criteria will be used to compare alternative best fitting models. Meta regressions will investigate between-study variances and a funnel plot and Egger’s test will assess publication bias. The results from this study will identify if an optimal prescription range for dose, dosing and dosage exists to develop muscle strength. Public Library of Science 2022-01-20 /pmc/articles/PMC8775318/ /pubmed/35051219 http://dx.doi.org/10.1371/journal.pone.0262674 Text en © 2022 Lyristakis et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Study Protocol Lyristakis, Philip M. Wundersitz, Daniel W. T. Zadow, Emma K. Mnatzaganian, George Gordon, Brett A. The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title | The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title_full | The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title_fullStr | The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title_full_unstemmed | The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title_short | The influence of considering individual resistance training variables as a whole on muscle strength: A systematic review and meta-analysis protocol |
title_sort | influence of considering individual resistance training variables as a whole on muscle strength: a systematic review and meta-analysis protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775318/ https://www.ncbi.nlm.nih.gov/pubmed/35051219 http://dx.doi.org/10.1371/journal.pone.0262674 |
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