Concordance of BAI and BMI with DXA in the Newfoundland Population
Abstract Background: Body adiposity index (BAI), indirect method proposed to predict adiposity, was developed using Mexican Americans and very little data are available regarding its validation in Caucasian populations to date. Objective: The study objectives were to validate the BAI with dual‐energ...
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crwiley:10.1002/oby.20009 2024-06-23T07:54:45+00:00 Concordance of BAI and BMI with DXA in the Newfoundland Population Sun, Guang Cahill, Farrell Gulliver, Wayne Yi, Yanqing Xie, Yagang Bridger, Tracey Pace, David Zhang, Hongwei 2013 http://dx.doi.org/10.1002/oby.20009 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Foby.20009 https://onlinelibrary.wiley.com/doi/pdf/10.1002/oby.20009 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Obesity volume 21, issue 3, page 499-503 ISSN 1930-7381 1930-739X journal-article 2013 crwiley https://doi.org/10.1002/oby.20009 2024-06-06T04:22:42Z Abstract Background: Body adiposity index (BAI), indirect method proposed to predict adiposity, was developed using Mexican Americans and very little data are available regarding its validation in Caucasian populations to date. Objective: The study objectives were to validate the BAI with dual‐energy X‐ray absorptiometry (DXA) body fat percentage (%BF), taking into consideration the gender and adiposity status. Design and Methods: A total of 2,601 subjects (Male 662, Female 1939) from our Complex Diseases in the Newfoundland population: Environment and Genetics (CODING) study participated in this investigation. Pearson correlations, with the entire cohort along with men and women separately, were used to compare the correlation of both BAI and BMI with %BF. Additionally, the concordance between BAI and BMI with %BF were also performed among normal‐weight (NW), overweight (OW), and obese (OB) groups. Adiposity status was determined by the Bray Criteria according to DXA %BF. Results: BAI performs better than BMI in our Caucasian population by: (1) reflecting the gender difference in total %BF between women and men, (2) correlating better with DXA %BF than BMI when women and men are combined, and (3) performing better in NW and OW subjects for both the sexes. However, BAI performs less effectively than BMI in OB men and women. Conclusion: In summary, the BAI method is a better estimate of adiposity than BMI in non‐OB subjects in our Caucasian population. A measurement sensitive to the changes in adiposity for both men and women is suggested to be incorporated into the present BAI equation to increase accuracy. Article in Journal/Newspaper Newfoundland Wiley Online Library Bray ENVELOPE(-114.067,-114.067,-74.833,-74.833) Obesity 21 3 499 503 |
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Wiley Online Library |
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English |
description |
Abstract Background: Body adiposity index (BAI), indirect method proposed to predict adiposity, was developed using Mexican Americans and very little data are available regarding its validation in Caucasian populations to date. Objective: The study objectives were to validate the BAI with dual‐energy X‐ray absorptiometry (DXA) body fat percentage (%BF), taking into consideration the gender and adiposity status. Design and Methods: A total of 2,601 subjects (Male 662, Female 1939) from our Complex Diseases in the Newfoundland population: Environment and Genetics (CODING) study participated in this investigation. Pearson correlations, with the entire cohort along with men and women separately, were used to compare the correlation of both BAI and BMI with %BF. Additionally, the concordance between BAI and BMI with %BF were also performed among normal‐weight (NW), overweight (OW), and obese (OB) groups. Adiposity status was determined by the Bray Criteria according to DXA %BF. Results: BAI performs better than BMI in our Caucasian population by: (1) reflecting the gender difference in total %BF between women and men, (2) correlating better with DXA %BF than BMI when women and men are combined, and (3) performing better in NW and OW subjects for both the sexes. However, BAI performs less effectively than BMI in OB men and women. Conclusion: In summary, the BAI method is a better estimate of adiposity than BMI in non‐OB subjects in our Caucasian population. A measurement sensitive to the changes in adiposity for both men and women is suggested to be incorporated into the present BAI equation to increase accuracy. |
format |
Article in Journal/Newspaper |
author |
Sun, Guang Cahill, Farrell Gulliver, Wayne Yi, Yanqing Xie, Yagang Bridger, Tracey Pace, David Zhang, Hongwei |
spellingShingle |
Sun, Guang Cahill, Farrell Gulliver, Wayne Yi, Yanqing Xie, Yagang Bridger, Tracey Pace, David Zhang, Hongwei Concordance of BAI and BMI with DXA in the Newfoundland Population |
author_facet |
Sun, Guang Cahill, Farrell Gulliver, Wayne Yi, Yanqing Xie, Yagang Bridger, Tracey Pace, David Zhang, Hongwei |
author_sort |
Sun, Guang |
title |
Concordance of BAI and BMI with DXA in the Newfoundland Population |
title_short |
Concordance of BAI and BMI with DXA in the Newfoundland Population |
title_full |
Concordance of BAI and BMI with DXA in the Newfoundland Population |
title_fullStr |
Concordance of BAI and BMI with DXA in the Newfoundland Population |
title_full_unstemmed |
Concordance of BAI and BMI with DXA in the Newfoundland Population |
title_sort |
concordance of bai and bmi with dxa in the newfoundland population |
publisher |
Wiley |
publishDate |
2013 |
url |
http://dx.doi.org/10.1002/oby.20009 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Foby.20009 https://onlinelibrary.wiley.com/doi/pdf/10.1002/oby.20009 |
long_lat |
ENVELOPE(-114.067,-114.067,-74.833,-74.833) |
geographic |
Bray |
geographic_facet |
Bray |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Obesity volume 21, issue 3, page 499-503 ISSN 1930-7381 1930-739X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/oby.20009 |
container_title |
Obesity |
container_volume |
21 |
container_issue |
3 |
container_start_page |
499 |
op_container_end_page |
503 |
_version_ |
1802647012611457024 |