Prediction of maximal heart rate in individuals with mental retardation

dc.contributor.authorFernhall, B.
dc.contributor.authorMcCubbin, J. A.
dc.contributor.authorPitetti, K. H.
dc.contributor.authorRintala, P.
dc.contributor.authorRimmer, J. H.
dc.contributor.authorMillar, A. L.
dc.contributor.authorSilva, Antonio de [UNIFESP]
dc.contributor.institutionGeorge Washington Univ
dc.contributor.institutionOregon State Univ
dc.contributor.institutionWichita State Univ
dc.contributor.institutionUniv Jyvaskyla
dc.contributor.institutionUniv Illinois
dc.contributor.institutionAndrews Univ
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.date.accessioned2016-01-24T12:31:29Z
dc.date.available2016-01-24T12:31:29Z
dc.date.issued2001-10-01
dc.description.abstractPurpose: It is well known that individuals with mental retardation (MR), especially those with Down syndrome (DS), have low maximal heart rates (MHR). We evaluated the ability to predict MHR in individuals with MR and DS in comparison with persons without MR. Methods: Subjects completed a maximal exercise test on the treadmill with metabolic and HR measurements. Stepwise multiple regression was used to develop prediction equations for subjects with MR (N=276; 97 with DS) and without (N=296) MR, ranging in age from 9-46 yr. Results: Subjects with MR exhibited significantly lower MHR (177 vs 185 beats.min(-1)) and (V)over dotO(2peak) (33.8 vs 35.6 mL-kg(-1).min(-1)). in subjects with MR, age was a poor predictor of MHR, Y=189 - 0.59 (age) (R=0.30, SEE=13.8 beats.min(-1); P<0.01), but age was a better predictor for subjects without MR, Y=205 - 0.64 (age) (R=0.52, SEE=9.9 beats.min(-1); P<0.01). A large sample Z test indicated that these regression coefficients were significantly different (P<0.01). However, adding DS to the regression improved the prediction for subjects with MR, Y=210 - (0.56 age) - (15.5 DS) (R=0.57; SEE=11.8 beats.min(-1), P<0.01). Conclusion: MHR can be predicted with similar accuracy in subjects with and without MR, provided DS is accounted for in the equation for the subjects with MR.en
dc.description.affiliationGeorge Washington Univ, Med Ctr, Exercise Sci Program, Washington, DC 20037 USA
dc.description.affiliationOregon State Univ, Dept Exercise & Sport Sci, Corvallis, OR 97331 USA
dc.description.affiliationWichita State Univ, Sch Hlth Sci, Wichita, KS USA
dc.description.affiliationUniv Jyvaskyla, Dept Educ Phys, Jyvaskyla, Finland
dc.description.affiliationUniv Illinois, Dept Disabil & Human Dev, Chicago, IL USA
dc.description.affiliationAndrews Univ, Dept Phys Therapy, Berrien Springs, MI 49104 USA
dc.description.affiliationUniversidade Federal de São Paulo, Dept Physiol, Resp & Exercise Lab, São Paulo, Brazil
dc.description.affiliationUnifespUniversidade Federal de São Paulo, Dept Physiol, Resp & Exercise Lab, São Paulo, Brazil
dc.description.sourceWeb of Science
dc.format.extent1655-1660
dc.identifierhttp://dx.doi.org/10.1097/00005768-200110000-00007
dc.identifier.citationMedicine and Science in Sports and Exercise. Philadelphia: Lippincott Williams & Wilkins, v. 33, n. 10, p. 1655-1660, 2001.
dc.identifier.doi10.1097/00005768-200110000-00007
dc.identifier.issn0195-9131
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/26632
dc.identifier.wosWOS:000171403100007
dc.language.isoeng
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofMedicine and Science in Sports and Exercise
dc.rightsAcesso aberto
dc.subjectpeak exerciseen
dc.subjectprediction formulasen
dc.titlePrediction of maximal heart rate in individuals with mental retardationen
dc.typeArtigo
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