Diagnostic performance of body mass index to identify adiposity in women
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15510%2F16%3A33155316" target="_blank" >RIV/61989592:15510/16:33155316 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1038/ejcn.2015.211" target="_blank" >http://dx.doi.org/10.1038/ejcn.2015.211</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/ejcn.2015.211" target="_blank" >10.1038/ejcn.2015.211</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Diagnostic performance of body mass index to identify adiposity in women
Popis výsledku v původním jazyce
The aim of this study was to determine the diagnostic performance of body mass index (BMI) and to detect the optimal BMI cutoff points to define adiposity in women of various ages. A total of 2409 women participated. Fat mass was measured using a multifrequency bioelectrical impedance analysis. The diagnostic performance of BMI to identify adiposity was evaluated using a fat mass percentage cutoff point of greater than or equal to 35%. Although 40% of women were overfat, the BMI-based obesity prevalence was 21%. In the total sample, BMI had low overall performance, which resulted in a sensitivity of 51.9% (95% confidence interval (CI): 48.7-55.2%) and a specificity of 99.2% (95% CI: 98.7-99.6%). BMI failed to identify overfat women with intermediate BMI ranges. An analysis of the receiver operating characteristic curves of all of the subjects demonstrated that optimal cutoff point corresponded to a BMI value of 26.4 kg/m2. The diagnostic performance of BMI did not differ as age increased. BMI has a high specificity but a low sensitivity to detect adiposity, and it fails to identify nearly half of women with excess fat mass. We provide evidence that a commonly used BMI cutoff value to diagnose obesity is too high among women.
Název v anglickém jazyce
Diagnostic performance of body mass index to identify adiposity in women
Popis výsledku anglicky
The aim of this study was to determine the diagnostic performance of body mass index (BMI) and to detect the optimal BMI cutoff points to define adiposity in women of various ages. A total of 2409 women participated. Fat mass was measured using a multifrequency bioelectrical impedance analysis. The diagnostic performance of BMI to identify adiposity was evaluated using a fat mass percentage cutoff point of greater than or equal to 35%. Although 40% of women were overfat, the BMI-based obesity prevalence was 21%. In the total sample, BMI had low overall performance, which resulted in a sensitivity of 51.9% (95% confidence interval (CI): 48.7-55.2%) and a specificity of 99.2% (95% CI: 98.7-99.6%). BMI failed to identify overfat women with intermediate BMI ranges. An analysis of the receiver operating characteristic curves of all of the subjects demonstrated that optimal cutoff point corresponded to a BMI value of 26.4 kg/m2. The diagnostic performance of BMI did not differ as age increased. BMI has a high specificity but a low sensitivity to detect adiposity, and it fails to identify nearly half of women with excess fat mass. We provide evidence that a commonly used BMI cutoff value to diagnose obesity is too high among women.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AC - Archeologie, antropologie, etnologie
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Journal of Clinical Nutrition
ISSN
0954-3007
e-ISSN
—
Svazek periodika
70
Číslo periodika v rámci svazku
8
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
6
Strana od-do
898-903
Kód UT WoS článku
000380806400006
EID výsledku v databázi Scopus
2-s2.0-84949843727