Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최윤정 | * |
dc.date.accessioned | 2022-03-03T16:31:01Z | - |
dc.date.available | 2022-03-03T16:31:01Z | - |
dc.date.issued | 2021 | * |
dc.identifier.issn | 0195-9131 | * |
dc.identifier.issn | 1530-0315 | * |
dc.identifier.other | OAK-30781 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/260802 | - |
dc.description.abstract | Introduction: Anthropometric-based equations are used to estimate percent body fat (%BF) when laboratory methods are impractical or not available. However, because these equations are often derived from two-compartment models, they are prone to error because of the assumptions regarding fat-freemass composition. The purpose of this study was to develop a new anthropometric-based equation for the prediction of%BF, using a five-compartment (5C) model as the criterion measure. Methods: A sample of healthy adults (52.2% female; age, 18 to 69 yr; body mass index, 15.7 to 49.5 kg.m(-2)) completed hydrostatic weighing, dual-energy x-ray absorptiometry, and bioimpedance spectroscopy measurements for calculation of 5C%BF (%BF5C), as well as skinfolds and circumferences.%BF5C was regressed on anthropometric measures using hierarchical variable selection in a random sample of subjects (n = 279). The resulting equation was cross-validated in the remaining participants (n = 78). New model performance was also comparedwith several common anthropometric-based equations. Results: The new equation [%BFNew = 6.083 + (0.143 x SSnew) - (12.058 x sex) - (0.150 x age) - (0.233 x body mass index) + (0.256 x waist) + (0.162 x sex x age)] explained a significant proportion of variance in %BF5C (R-2 = 0.775, SEE = 4.0%). Predictors included sum of skinfolds (SSnew, midaxillary, triceps, and thigh) and waist circumference. The new equation cross-validated well against %BF5C when compared with other existing equations, producing a large intraclass correlation coefficient (0.90), small mean bias and limits of agreement (0.4% +/- 8.6%), and small measures of error (SEE = 2.5%). Conclusions: %BFNew improved on previous anthropometric-based equations, providing better overall agreement and less error in %BF estimation. The equation described in this study may provide an accurate estimate of %BF5C in healthy adults when measurement is not practical. | * |
dc.language | English | * |
dc.publisher | LIPPINCOTT WILLIAMS & | * |
dc.publisher | WILKINS | * |
dc.subject | BODY COMPOSITION | * |
dc.subject | REGRESSION | * |
dc.subject | HEALTHY ADULTS | * |
dc.subject | MULTICOMPARTMENT | * |
dc.title | Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model | * |
dc.type | Article | * |
dc.relation.issue | 12 | * |
dc.relation.volume | 53 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 2675 | * |
dc.relation.lastpage | 2682 | * |
dc.relation.journaltitle | MEDICINE & SCIENCE IN SPORTS & EXERCISE | * |
dc.identifier.doi | 10.1249/MSS.0000000000002754 | * |
dc.identifier.wosid | WOS:000754537400023 | * |
dc.identifier.scopusid | 2-s2.0-85121956570 | * |
dc.author.google | Cicone, Zackary S. | * |
dc.author.google | Nickerson, Brett S. | * |
dc.author.google | Choi, Youn-Jeng | * |
dc.author.google | Holmes, Clifton J. | * |
dc.author.google | Hornikel, Bjoern | * |
dc.author.google | Fedewa, Michael, V | * |
dc.author.google | Esco, Michael R. | * |
dc.contributor.scopusid | 최윤정(57203943483) | * |
dc.date.modifydate | 20240315112734 | * |