Percent body fat is a better predictor of cardiovascular risk factors than body mass index

Bibliographic Details
Main Author: Zeng,Qiang
Publication Date: 2012
Other Authors: Dong,Sheng-Yong, Sun,Xiao-Nan, Xie,Jing, Cui,Yi
Format: Article
Language: eng
Source: Brazilian Journal of Medical and Biological Research
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2012000700005
Summary: The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.
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spelling Percent body fat is a better predictor of cardiovascular risk factors than body mass indexObesityBody compositionBody mass indexCardiovascular diseaseRisk factorPercent body fatBioelectrical impedanceThe objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.Associação Brasileira de Divulgação Científica2012-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2012000700005Brazilian Journal of Medical and Biological Research v.45 n.7 2012reponame:Brazilian Journal of Medical and Biological Researchinstname:Associação Brasileira de Divulgação Científica (ABDC)instacron:ABDC10.1590/S0100-879X2012007500059info:eu-repo/semantics/openAccessZeng,QiangDong,Sheng-YongSun,Xiao-NanXie,JingCui,Yieng2012-06-22T00:00:00Zoai:scielo:S0100-879X2012000700005Revistahttps://www.bjournal.org/https://old.scielo.br/oai/scielo-oai.phpbjournal@terra.com.br||bjournal@terra.com.br1414-431X0100-879Xopendoar:2012-06-22T00:00Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)false
dc.title.none.fl_str_mv Percent body fat is a better predictor of cardiovascular risk factors than body mass index
title Percent body fat is a better predictor of cardiovascular risk factors than body mass index
spellingShingle Percent body fat is a better predictor of cardiovascular risk factors than body mass index
Zeng,Qiang
Obesity
Body composition
Body mass index
Cardiovascular disease
Risk factor
Percent body fat
Bioelectrical impedance
title_short Percent body fat is a better predictor of cardiovascular risk factors than body mass index
title_full Percent body fat is a better predictor of cardiovascular risk factors than body mass index
title_fullStr Percent body fat is a better predictor of cardiovascular risk factors than body mass index
title_full_unstemmed Percent body fat is a better predictor of cardiovascular risk factors than body mass index
title_sort Percent body fat is a better predictor of cardiovascular risk factors than body mass index
author Zeng,Qiang
author_facet Zeng,Qiang
Dong,Sheng-Yong
Sun,Xiao-Nan
Xie,Jing
Cui,Yi
author_role author
author2 Dong,Sheng-Yong
Sun,Xiao-Nan
Xie,Jing
Cui,Yi
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Zeng,Qiang
Dong,Sheng-Yong
Sun,Xiao-Nan
Xie,Jing
Cui,Yi
dc.subject.por.fl_str_mv Obesity
Body composition
Body mass index
Cardiovascular disease
Risk factor
Percent body fat
Bioelectrical impedance
topic Obesity
Body composition
Body mass index
Cardiovascular disease
Risk factor
Percent body fat
Bioelectrical impedance
description The objective of the present study was to evaluate the predictive values of percent body fat (PBF) and body mass index (BMI) for cardiovascular risk factors, especially when PBF and BMI are conflicting. BMI was calculated by the standard formula and PBF was determined by bioelectrical impedance analysis. A total of 3859 ambulatory adult Han Chinese subjects (2173 males and 1686 females, age range: 18-85 years) without a history of cardiovascular diseases were recruited from February to September 2009. Based on BMI and PBF, they were classified into group 1 (normal BMI and PBF, N = 1961), group 2 (normal BMI, but abnormal PBF, N = 381), group 3 (abnormal BMI, but normal PBF, N = 681), and group 4 (abnormal BMI and PBF, N = 836). When age, gender, lifestyle, and family history of obesity were adjusted, PBF, but not BMI, was correlated with blood glucose and lipid levels. The odds ratio (OR) and 95% confidence interval (CI) for cardiovascular risk factors in groups 2 and 4 were 1.88 (1.45-2.45) and 2.06 (1.26-3.35) times those in group 1, respectively, but remained unchanged in group 3 (OR = 1.32, 95%CI = 0.92-1.89). Logistic regression models also demonstrated that PBF, rather than BMI, was independently associated with cardiovascular risk factors. In conclusion, PBF, and not BMI, is independently associated with cardiovascular risk factors, indicating that PBF is a better predictor.
publishDate 2012
dc.date.none.fl_str_mv 2012-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2012000700005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2012000700005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-879X2012007500059
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Divulgação Científica
publisher.none.fl_str_mv Associação Brasileira de Divulgação Científica
dc.source.none.fl_str_mv Brazilian Journal of Medical and Biological Research v.45 n.7 2012
reponame:Brazilian Journal of Medical and Biological Research
instname:Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
instname_str Associação Brasileira de Divulgação Científica (ABDC)
instacron_str ABDC
institution ABDC
reponame_str Brazilian Journal of Medical and Biological Research
collection Brazilian Journal of Medical and Biological Research
repository.name.fl_str_mv Brazilian Journal of Medical and Biological Research - Associação Brasileira de Divulgação Científica (ABDC)
repository.mail.fl_str_mv bjournal@terra.com.br||bjournal@terra.com.br
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