Cited 20 time in
Prediction of maximal oxygen consumption using the Young Men's Christian Association-step test in Korean adults
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, On | - |
| dc.contributor.author | Lee, Sukho | - |
| dc.contributor.author | Kang, Minsoo | - |
| dc.contributor.author | Mun, Junbae | - |
| dc.contributor.author | Chung, Jinwook | - |
| dc.date.accessioned | 2023-04-28T04:41:13Z | - |
| dc.date.available | 2023-04-28T04:41:13Z | - |
| dc.date.issued | 2019-05 | - |
| dc.identifier.issn | 1439-6319 | - |
| dc.identifier.issn | 1439-6327 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/8174 | - |
| dc.description.abstract | Purpose To develop accurate and practical prediction models of maximal oxygen consumption (VO(2)max) using the Young Men's Christian Association (YMCA)-step test in South Korean adults. Methods In total, 568 adults (20-66 years) were included in this study. To develop and cross-validate prediction models of VO(2)max, the total sample was divided into 80% training and 20% testing using a simple random sampling method. VO(2)max was measured using the maximal-graded exercise treadmill test. Sex, age, 1-min recovery heart rate, body weight, and height were measured as potential predictors. Each test was conducted within a 2- to 3-day interval, ensuring sufficient rest. Preliminary prediction models were developed from training datasets, which were cross-validated using regression analyses and/or repeated-measures analysis of variance. The accuracy of prediction models was evaluated using R-2, standard error of estimate (SEE), and mean difference (MD) against a criterion-measured VO(2)max. Results The average age and VO(2)max were 43.5 +/- 12.9 years and 39.1 +/- 7.5 ml/kg/min, respectively. For model development, three practical models with acceptable accuracy were developed (R-2 = 0.56-0.61; SEE = 4.74-5.01). For model cross-validation, significant relationships between the criterion-measured and predicted VO(2)max were observed in all three models (R-2 = 0.56-0.61; SEE = 4.62-4.88). The difference between criterion-measured and predicted VO(2)max was not significant in the models (MD = -0.03 to -0.14). Conclusions The prediction models included 3-5 variables as significant predictors of VO(2)max and had acceptable accuracy in a large sample of South Korean adults. The selected models provide a simple and practical method to estimate VO(2)max using the YMCA-step test for South Korean adults. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | SPRINGER | - |
| dc.title | Prediction of maximal oxygen consumption using the Young Men's Christian Association-step test in Korean adults | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1007/s00421-019-04115-8 | - |
| dc.identifier.scopusid | 2-s2.0-85062790314 | - |
| dc.identifier.wosid | 000464863800020 | - |
| dc.identifier.bibliographicCitation | EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, v.119, no.5, pp 1245 - 1252 | - |
| dc.citation.title | EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY | - |
| dc.citation.volume | 119 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 1245 | - |
| dc.citation.endPage | 1252 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Physiology | - |
| dc.relation.journalResearchArea | Sport Sciences | - |
| dc.relation.journalWebOfScienceCategory | Physiology | - |
| dc.relation.journalWebOfScienceCategory | Sport Sciences | - |
| dc.subject.keywordPlus | SUBMAXIMAL EXERCISE | - |
| dc.subject.keywordPlus | BODY-COMPOSITION | - |
| dc.subject.keywordPlus | CAPACITY | - |
| dc.subject.keywordPlus | PROTOCOL | - |
| dc.subject.keywordPlus | HEIGHT | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | MORTALITY | - |
| dc.subject.keywordPlus | FITNESS | - |
| dc.subject.keywordPlus | GENDER | - |
| dc.subject.keywordPlus | WOMEN | - |
| dc.subject.keywordAuthor | VO(2)max | - |
| dc.subject.keywordAuthor | Submaximal exercise tests | - |
| dc.subject.keywordAuthor | Prediction model | - |
| dc.subject.keywordAuthor | Cross-validation | - |
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