Intensity level for exercise training in fibromyalgia by using mathematical models

Detalhes bibliográficos
Autor(a) principal: Lemos, Maria Carolina Davel [UNIFESP]
Data de Publicação: 2010
Outros Autores: Valim, Valeria, Zandonade, Eliana, Natour, Jamil [UNIFESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.1186/1471-2474-11-54
http://repositorio.unifesp.br/handle/11600/32382
Resumo: 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 x 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 Intensity level for exercise training in fibromyalgia by using mathematical modelsBackground: 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 x 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.Universidade Federal de São Paulo, São Paulo, BrazilUniv Fed Espirito Santo, Vitoria, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilWeb of ScienceBiomed Central LtdUniversidade Federal de São Paulo (UNIFESP)Univ Fed Espirito SantoLemos, Maria Carolina Davel [UNIFESP]Valim, ValeriaZandonade, ElianaNatour, Jamil [UNIFESP]2016-01-24T13:59:28Z2016-01-24T13:59:28Z2010-03-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion6application/pdfhttp://dx.doi.org/10.1186/1471-2474-11-54Bmc Musculoskeletal Disorders. London: Biomed Central Ltd, v. 11, 6 p., 2010.10.1186/1471-2474-11-54WOS000277087100001.pdf1471-2474http://repositorio.unifesp.br/handle/11600/32382WOS:000277087100001engBmc Musculoskeletal Disordersinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-05T15:56:49Zoai:repositorio.unifesp.br/:11600/32382Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-05T15:56:49Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Intensity level for exercise training in fibromyalgia by using mathematical models
title Intensity level for exercise training in fibromyalgia by using mathematical models
spellingShingle Intensity level for exercise training in fibromyalgia by using mathematical models
Lemos, Maria Carolina Davel [UNIFESP]
title_short 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_sort Intensity level for exercise training in fibromyalgia by using mathematical models
author Lemos, Maria Carolina Davel [UNIFESP]
author_facet Lemos, Maria Carolina Davel [UNIFESP]
Valim, Valeria
Zandonade, Eliana
Natour, Jamil [UNIFESP]
author_role author
author2 Valim, Valeria
Zandonade, Eliana
Natour, Jamil [UNIFESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Paulo (UNIFESP)
Univ Fed Espirito Santo
dc.contributor.author.fl_str_mv Lemos, Maria Carolina Davel [UNIFESP]
Valim, Valeria
Zandonade, Eliana
Natour, Jamil [UNIFESP]
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 x 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.
publishDate 2010
dc.date.none.fl_str_mv 2010-03-22
2016-01-24T13:59:28Z
2016-01-24T13:59:28Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1186/1471-2474-11-54
Bmc Musculoskeletal Disorders. London: Biomed Central Ltd, v. 11, 6 p., 2010.
10.1186/1471-2474-11-54
WOS000277087100001.pdf
1471-2474
http://repositorio.unifesp.br/handle/11600/32382
WOS:000277087100001
url http://dx.doi.org/10.1186/1471-2474-11-54
http://repositorio.unifesp.br/handle/11600/32382
identifier_str_mv Bmc Musculoskeletal Disorders. London: Biomed Central Ltd, v. 11, 6 p., 2010.
10.1186/1471-2474-11-54
WOS000277087100001.pdf
1471-2474
WOS:000277087100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bmc Musculoskeletal Disorders
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
application/pdf
dc.publisher.none.fl_str_mv Biomed Central Ltd
publisher.none.fl_str_mv Biomed Central Ltd
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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