2.50
Hdl Handle:
http://hdl.handle.net/2436/140269
Title:
Inverted BMI rather than BMI is a better proxy for percentage of body fat
Authors:
Nevill, Alan M.; Stavropoulos-Kalinoglou, Antonios; Metsios, Giorgos S.; Koutedakis, Yiannis; Holder, Roger L.; Kitas, George D.; Mohammed, Mohammed A.
Abstract:
Background: Percentage of body fat (BF%) is a known risk factor for a range of healthcare problems but is difficult to measure. An easy to measure proxy is the weight/height2 ratio known as the Body Mass Index (BMI kg/m2). However, BMI does have some inherent weaknesses which are readily overcome by its inverse iBMI (1000/BMI, cm2/kg). Methods: The association between BF% and both BMI and iBMI together with their distributional properties was explored using previously published data from healthy (n ¼ 2993) and diseased populations (n ¼ 298). Results: BMI is skewed whereas iBMI is symmetrical and so is better approximated by the normal distribution. The relationship between BF% and BMI is curved, but that of iBMI and BF% is linear and thus iBMI explains more of the variation in BF% than BMI. For example a unit increase in BMI for a group of thin women represents an increase of 2.3% in BF, but for obese women this represents only a 0.3% increase in BF—a 7-fold difference. The curvature stems from body mass being the numerator in BMI but the denominator in BF% resulting in a form of hyperbolic curve which is not the case with iBMI. Furthermore, BMI and iBMI have different relationships (interaction) with BF% for men and women, but these differences are less marked with iBMI. Conclusions: Overall, these characteristics of iBMI favour its use over BMI, especially in statistical models
Citation:
Annals of Human Biology
Publisher:
Informa UK, Ltd.
Journal:
Annals of Human Biology
Issue Date:
2011
URI:
http://hdl.handle.net/2436/140269
DOI:
10.3109/03014460.2011.606832
Additional Links:
http://informahealthcare.com/doi/abs/10.3109/03014460.2011.606832
Type:
Article
Language:
en
Description:
Published on-line ahead of print
ISSN:
0301-4460; 1464-5033
Appears in Collections:
Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
dc.contributor.authorNevill, Alan M.en
dc.contributor.authorStavropoulos-Kalinoglou, Antoniosen
dc.contributor.authorMetsios, Giorgos S.en
dc.contributor.authorKoutedakis, Yiannisen
dc.contributor.authorHolder, Roger L.en
dc.contributor.authorKitas, George D.en
dc.contributor.authorMohammed, Mohammed A.en
dc.date.accessioned2011-08-22T10:07:28Z-
dc.date.available2011-08-22T10:07:28Z-
dc.date.issued2011-
dc.identifier.citationAnnals of Human Biologyen
dc.identifier.issn0301-4460-
dc.identifier.issn1464-5033-
dc.identifier.doi10.3109/03014460.2011.606832-
dc.identifier.urihttp://hdl.handle.net/2436/140269-
dc.descriptionPublished on-line ahead of printen
dc.description.abstractBackground: Percentage of body fat (BF%) is a known risk factor for a range of healthcare problems but is difficult to measure. An easy to measure proxy is the weight/height2 ratio known as the Body Mass Index (BMI kg/m2). However, BMI does have some inherent weaknesses which are readily overcome by its inverse iBMI (1000/BMI, cm2/kg). Methods: The association between BF% and both BMI and iBMI together with their distributional properties was explored using previously published data from healthy (n ¼ 2993) and diseased populations (n ¼ 298). Results: BMI is skewed whereas iBMI is symmetrical and so is better approximated by the normal distribution. The relationship between BF% and BMI is curved, but that of iBMI and BF% is linear and thus iBMI explains more of the variation in BF% than BMI. For example a unit increase in BMI for a group of thin women represents an increase of 2.3% in BF, but for obese women this represents only a 0.3% increase in BF—a 7-fold difference. The curvature stems from body mass being the numerator in BMI but the denominator in BF% resulting in a form of hyperbolic curve which is not the case with iBMI. Furthermore, BMI and iBMI have different relationships (interaction) with BF% for men and women, but these differences are less marked with iBMI. Conclusions: Overall, these characteristics of iBMI favour its use over BMI, especially in statistical modelsen
dc.language.isoenen
dc.publisherInforma UK, Ltd.en
dc.relation.urlhttp://informahealthcare.com/doi/abs/10.3109/03014460.2011.606832en
dc.subjectBody mass indexen
dc.subjectInverted body mass indexen
dc.subjectBody faten
dc.subjectTransformationen
dc.titleInverted BMI rather than BMI is a better proxy for percentage of body faten
dc.typeArticleen
dc.identifier.journalAnnals of Human Biologyen
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