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...

書誌詳細
主要な著者:	A. Ghachem, A. Marcotte-Chénard, I. J. Dionne, M. Brochu
フォーマット:	論文
言語:	English
出版事項:	Taylor & Francis Group 2019-04-01
シリーズ:	Annals of Human Biology
主題:	agreement concordance correlation coefficient height scaling exponent fat mass metabolic syndrome severity
オンライン･アクセス:	http://dx.doi.org/10.1080/03014460.2019.1635645

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