Intensity level for exercise training in fibromyalgia by using mathematical models
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
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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Repositório Institucional da UNIFESP |
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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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1814268363833081856 |