Is predicted body-composition and relative fat mass an alternative to body-mass index and waist circumference for disease risk estimation

Research output: Contribution to journalJournal articleResearchpeer-review

12 Downloads (Pure)

Abstract

Background and aims: New methods to estimate body-composition have recently been proposed, but their relation to diseases, such as diabetes and coronary heart disease, needs further investigation. The purpose of this study was to investigate the association between proposed prediction of body-composition (PBC); Relative Fat Mass (RFM), Body Mass Index (BMI), Waist Circumference (WC) and disease. Methods: In a cross-sectional cohort (NHANES) the association between the four body measures and diabetes, high blood pressure, coronary heart disease, cancer, arthritis, and hospitalization were assessed. A total of 13,348 people was included in this study. Receiver operating characteristic (ROC), Area Under Curve (AUC) and statistical testing were used to evaluate the differences. Results: PBC/RFM had significant higher AUC than BMI or WC for diabetes, high blood pressure, hospitalization, and arthritis. PBC had a significant higher AUC than RFM, BMI, WC for Cancer and coronary heart disease. Conclusions: RFM and PBC could be a better indicator to distinguish amongst people with a risk of diseases compared to traditional measures such as BMI and WC. However, future studies need to investigate the longitudinal association between RFM, PBC and the risk of disease development to assess if these measures are better suited for risk-stratification.

Original languageEnglish
Article number102590
JournalDiabetes & Metabolic Syndrome: Clinical Research & Reviews
Volume16
Issue number9
ISSN1871-4021
DOIs
Publication statusPublished - Sep 2022

Keywords

  • Arthritis
  • Body mass index
  • Cancer
  • Coronary heart disease
  • Diabetes
  • High blood pressure
  • Hospitalization
  • Predicted body composition
  • Waist circumference

Fingerprint

Dive into the research topics of 'Is predicted body-composition and relative fat mass an alternative to body-mass index and waist circumference for disease risk estimation'. Together they form a unique fingerprint.

Cite this