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...

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Detaylı Bibliyografya
Asıl Yazarlar: A. Ghachem, A. Marcotte-Chénard, I. J. Dionne, M. Brochu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Taylor & Francis Group 2019-04-01
Seri Bilgileri:Annals of Human Biology
Konular:
agreement
concordance correlation coefficient
height scaling exponent
fat mass
metabolic syndrome severity
Online Erişim:http://dx.doi.org/10.1080/03014460.2019.1635645

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