Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

BMI 지수를 이용한 지적장애인의 체지방률 추정식 개발과 교차타당화 연구Development of Prediction Equation of %Body Fat Using BMI and Cross-Validation for Persons with Intellectual Disability

Other Titles
Development of Prediction Equation of %Body Fat Using BMI and Cross-Validation for Persons with Intellectual Disability
Authors
김대연전혜자
Issue Date
2014
Publisher
한국여성체육학회
Keywords
%Body fat; BMI; Prediction equation; Cross-validation; Persons with intellectual disability
Citation
한국여성체육학회지, v.28, no.4, pp 123 - 134
Pages
12
Journal Title
한국여성체육학회지
Volume
28
Number
4
Start Page
123
End Page
134
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/12666
DOI
10.16915
ISSN
1229-6341
2733-967X
Abstract
The purpose of this study was to develop the prediction equation of %body fat using BMI and to estimate the cross-validation for persons with intellectual disability. A total of 119 persons(male 82, female 37) participated in this research. The factor of BMI(Body Mass Index), age, gender were used as the explanatory variable, and the percent of body fat from DEXA, and BIA were used as the response variable. The descriptive statistics, correlation analysis, and multiple regression analysis were analyzed using SPSS 18.0 program. As the results, firstly, the gender was not discriminated between BMI, and %fat from DEXA and BIA. Secondly, among the all variables, age did not have a significant coefficient or there was no relationship. Thirdly, the equations were as follows. %fatDEXA is–7.376+(1.340×BMI)+(0.385×gender×BMI) and %fatBIA is–14.258+(1.576×BMI)+(0.270×gender×BMI). Lastly, in the results of cross-validation, the prediction equation was highly assessed, indicating that the R2 was at 76% for DEXA and at 85% for BIA. In conclusion, it is expected to use this prediction equation of %fat for persons with intellectual disability instead of BMI itself alone.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Natural Sciences > Department of Sports Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE