Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults

© 2017 Kanokkarn Juntaping et al. Introduction. The height-weight difference index (HWDI) is a new indicator for evaluating obesity status. While body-fat percentage (BF%) is considered to be the most accurate obesity evaluation tool, it is a more expensive method and more difficult to measure than...

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Main Authors: Kanokkarn Juntaping, Kaweesak Chittawatanarat, Sukon Prasitwattanaseree, Jeerayut Chaijaruwanich, Patrinee Traisathit
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/46447
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-464472018-04-25T07:29:05Z Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults Kanokkarn Juntaping Kaweesak Chittawatanarat Sukon Prasitwattanaseree Jeerayut Chaijaruwanich Patrinee Traisathit Environmental Science Agricultural and Biological Sciences © 2017 Kanokkarn Juntaping et al. Introduction. The height-weight difference index (HWDI) is a new indicator for evaluating obesity status. While body-fat percentage (BF%) is considered to be the most accurate obesity evaluation tool, it is a more expensive method and more difficult to measure than the others. Objective. Our objectives were to find the relationship between HWDI and BF% and to find a BF% prediction model from HWDI in relation to age and gender. Method. Bioelectrical impedance analysis was used to measure BF% in 2,771 healthy adult Thais. HWDI was calculated as the difference between height and weight. Pearson's correlation coefficient was used to assess the relationship between HWDI and BF%. Multiple linear and nonlinear regression analysis were used to construct the BF% prediction model. Results. HWDI and BF% were found to be inverse which related to a tendency toward a linear relationship. Results of a multivariate linear regression analysis, which included HWDI and age as variables in the model, predicted BF% to be 34.508 - 0.159 (HWDI) + 0.161 (age) for men and 53.35 - 0.265 (HWDI) + 0.132 (age) for women. Conclusions. The prediction model provides an easy-to-use obesity evaluation tool that should help awareness of underweight and obesity conditions. 2018-04-25T06:55:01Z 2018-04-25T06:55:01Z 2017-01-01 Journal 1537744X 23566140 2-s2.0-85021630818 10.1155/2017/7258607 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021630818&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46447
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Environmental Science
Agricultural and Biological Sciences
spellingShingle Environmental Science
Agricultural and Biological Sciences
Kanokkarn Juntaping
Kaweesak Chittawatanarat
Sukon Prasitwattanaseree
Jeerayut Chaijaruwanich
Patrinee Traisathit
Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
description © 2017 Kanokkarn Juntaping et al. Introduction. The height-weight difference index (HWDI) is a new indicator for evaluating obesity status. While body-fat percentage (BF%) is considered to be the most accurate obesity evaluation tool, it is a more expensive method and more difficult to measure than the others. Objective. Our objectives were to find the relationship between HWDI and BF% and to find a BF% prediction model from HWDI in relation to age and gender. Method. Bioelectrical impedance analysis was used to measure BF% in 2,771 healthy adult Thais. HWDI was calculated as the difference between height and weight. Pearson's correlation coefficient was used to assess the relationship between HWDI and BF%. Multiple linear and nonlinear regression analysis were used to construct the BF% prediction model. Results. HWDI and BF% were found to be inverse which related to a tendency toward a linear relationship. Results of a multivariate linear regression analysis, which included HWDI and age as variables in the model, predicted BF% to be 34.508 - 0.159 (HWDI) + 0.161 (age) for men and 53.35 - 0.265 (HWDI) + 0.132 (age) for women. Conclusions. The prediction model provides an easy-to-use obesity evaluation tool that should help awareness of underweight and obesity conditions.
format Journal
author Kanokkarn Juntaping
Kaweesak Chittawatanarat
Sukon Prasitwattanaseree
Jeerayut Chaijaruwanich
Patrinee Traisathit
author_facet Kanokkarn Juntaping
Kaweesak Chittawatanarat
Sukon Prasitwattanaseree
Jeerayut Chaijaruwanich
Patrinee Traisathit
author_sort Kanokkarn Juntaping
title Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
title_short Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
title_full Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
title_fullStr Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
title_full_unstemmed Relationship between Height-Weight Difference Index and Body-Fat Percentage Estimated by Bioelectrical Impedance Analysis in Thai Adults
title_sort relationship between height-weight difference index and body-fat percentage estimated by bioelectrical impedance analysis in thai adults
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021630818&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/46447
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