Linked Life Data

2729210

Source:http://linkedlifedata.com/resource/pubmed/id/2729210

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1989-7-10
pubmed:abstractText
The purpose of this study was to develop regression equations to predict oxygen uptake (VO2) in adolescents. Thirty-nine subjects had maximum oxygen uptake measured on a cycle ergometer. Anthropometric measurements included triceps, subscapular, and thigh skin folds. The subjects ran 12-minute and 2.4-km runs on separate days. Using a multiple-stepwise forward regression analysis, equations were developed to predict oxygen uptake as VO2 and VO2/kg, accounting for 81% and 64% of the variance, respectively. A validation procedure was done 5 months later when all runs and measurements were repeated, and predicted and measured oxygen uptake were compared. The equation for predicting VO2 accounted for 88% of the variance, with the SE of the estimate equal to 0.07 L/min. The equation for predicting VO2/kg accounted for 58% of the variance, with the SE of the estimate equal to 27 mL of oxygen per kilogram of body weight per minute. The VO2 can be accurately predicted using indirect means in adolescents, while VO2/kg cannot.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0002-922X
pubmed:author
pubmed:issnType
Print
pubmed:volume
143
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
673-7
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1989
pubmed:articleTitle
Predicting maximum oxygen uptake in adolescents.
pubmed:affiliation
Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030.
pubmed:publicationType
Journal Article