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Intensity level for exercise training in fibromyalgia by using mathematical models

BACKGROUND: It has not been assessed before whether mathematical models described in the literature for prescriptions of exercise can be used for fibromyalgia syndrome patients. The objective of this paper was to determine how age-predicted heart rate formulas can be used with fibromyalgia syndrome...

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Autores principales: Lemos, Maria Carolina D, Valim, Valéria, Zandonade, Eliana, Natour, Jamil
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859389/
https://www.ncbi.nlm.nih.gov/pubmed/20307323
http://dx.doi.org/10.1186/1471-2474-11-54
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author Lemos, Maria Carolina D
Valim, Valéria
Zandonade, Eliana
Natour, Jamil
author_facet Lemos, Maria Carolina D
Valim, Valéria
Zandonade, Eliana
Natour, Jamil
author_sort Lemos, Maria Carolina D
collection PubMed
description BACKGROUND: It has not been assessed before whether mathematical models described in the literature for prescriptions of exercise can be used for fibromyalgia syndrome patients. The objective of this paper was to determine how age-predicted heart rate formulas can be used with fibromyalgia syndrome populations as well as to find out which mathematical models are more accurate to control exercise intensity. METHODS: A total of 60 women aged 18-65 years with fibromyalgia syndrome were included; 32 were randomized to walking training at anaerobic threshold. Age-predicted formulas to maximum heart rate ("220 minus age" and "208 minus 0.7 × age") were correlated with achieved maximum heart rate (HRMax) obtained by spiroergometry. Subsequently, six mathematical models using heart rate reserve (HRR) and age-predicted HRMax formulas were studied to estimate the intensity level of exercise training corresponding to heart rate at anaerobic threshold (HRAT) obtained by spiroergometry. Linear and nonlinear regression models were used for correlations and residues analysis for the adequacy of the models. RESULTS: Age-predicted HRMax and HRAT formulas had a good correlation with achieved heart rate obtained in spiroergometry (r = 0.642; p < 0.05). For exercise prescription in the anaerobic threshold intensity, the percentages were 52.2-60.6% HRR and 75.5-80.9% HRMax. Formulas using HRR and the achieved HRMax showed better correlation. Furthermore, the percentages of HRMax and HRR were significantly higher for the trained individuals (p < 0.05). CONCLUSION: Age-predicted formulas can be used for estimating HRMax and for exercise prescriptions in women with fibromyalgia syndrome. Karnoven's formula using heart rate achieved in ergometric test showed a better correlation. For the prescription of exercises in the threshold intensity, 52% to 60% HRR or 75% to 80% HRMax must be used in sedentary women with fibromyalgia syndrome and these values are higher and must be corrected for trained patients.
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spelling pubmed-28593892010-04-27 Intensity level for exercise training in fibromyalgia by using mathematical models Lemos, Maria Carolina D Valim, Valéria Zandonade, Eliana Natour, Jamil BMC Musculoskelet Disord Research article BACKGROUND: It has not been assessed before whether mathematical models described in the literature for prescriptions of exercise can be used for fibromyalgia syndrome patients. The objective of this paper was to determine how age-predicted heart rate formulas can be used with fibromyalgia syndrome populations as well as to find out which mathematical models are more accurate to control exercise intensity. METHODS: A total of 60 women aged 18-65 years with fibromyalgia syndrome were included; 32 were randomized to walking training at anaerobic threshold. Age-predicted formulas to maximum heart rate ("220 minus age" and "208 minus 0.7 × age") were correlated with achieved maximum heart rate (HRMax) obtained by spiroergometry. Subsequently, six mathematical models using heart rate reserve (HRR) and age-predicted HRMax formulas were studied to estimate the intensity level of exercise training corresponding to heart rate at anaerobic threshold (HRAT) obtained by spiroergometry. Linear and nonlinear regression models were used for correlations and residues analysis for the adequacy of the models. RESULTS: Age-predicted HRMax and HRAT formulas had a good correlation with achieved heart rate obtained in spiroergometry (r = 0.642; p < 0.05). For exercise prescription in the anaerobic threshold intensity, the percentages were 52.2-60.6% HRR and 75.5-80.9% HRMax. Formulas using HRR and the achieved HRMax showed better correlation. Furthermore, the percentages of HRMax and HRR were significantly higher for the trained individuals (p < 0.05). CONCLUSION: Age-predicted formulas can be used for estimating HRMax and for exercise prescriptions in women with fibromyalgia syndrome. Karnoven's formula using heart rate achieved in ergometric test showed a better correlation. For the prescription of exercises in the threshold intensity, 52% to 60% HRR or 75% to 80% HRMax must be used in sedentary women with fibromyalgia syndrome and these values are higher and must be corrected for trained patients. BioMed Central 2010-03-22 /pmc/articles/PMC2859389/ /pubmed/20307323 http://dx.doi.org/10.1186/1471-2474-11-54 Text en Copyright ©2010 Lemos et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Lemos, Maria Carolina D
Valim, Valéria
Zandonade, Eliana
Natour, Jamil
Intensity level for exercise training in fibromyalgia by using mathematical models
title Intensity level for exercise training in fibromyalgia by using mathematical models
title_full Intensity level for exercise training in fibromyalgia by using mathematical models
title_fullStr Intensity level for exercise training in fibromyalgia by using mathematical models
title_full_unstemmed Intensity level for exercise training in fibromyalgia by using mathematical models
title_short Intensity level for exercise training in fibromyalgia by using mathematical models
title_sort intensity level for exercise training in fibromyalgia by using mathematical models
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859389/
https://www.ncbi.nlm.nih.gov/pubmed/20307323
http://dx.doi.org/10.1186/1471-2474-11-54
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