Body mass index to predict fat mass and metabolic syndrome severity: should it really be specific to sex, age and ethnicity? A NHANES study (1999–2014)

Body mass index to predict fat mass and metabolic syndrome severity: should it really be specific to sex, age and ethnicity? A NHANES study (1999–2014)

Background: Body mass index (BMI) is often criticised since it doesn’t consider sex, age and ethnicity, which may affect the height scaling exponent of the equation. Aims: First, to identify specific height scaling exponents (α) based on sex, age and ethnicity. Second, to assess the performance of t...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: A. Ghachem, A. Marcotte-Chénard, I. J. Dionne, M. Brochu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Taylor & Francis Group 2019-04-01
Sarja:Annals of Human Biology
Aiheet:
agreement
concordance correlation coefficient
height scaling exponent
fat mass
metabolic syndrome severity
Linkit:http://dx.doi.org/10.1080/03014460.2019.1635645

Internet

http://dx.doi.org/10.1080/03014460.2019.1635645

Samankaltaisia teoksia