Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions

76Citations
Citations of this article
103Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Objective: To determine the relative validity of specific bioelectrical impedance analysis (BIA) prediction equations and BMI as predictors of physiologically relevant general adiposity. Research Methods and Procedures: Subjects were > 12,000 men and women from the Third National Health and Nutrition Examination Survey population. We examined the correlations between BMI and percentage body fat based on 51 different predictive equations, blood pressure, and blood levels of glucose, high-density lipoprotein cholesterol, and triglycerides, which are known to reflect adiposity, while controlling for other determinants of these physiological measures. Results: BMI consistently had one of the highest correlations across biological markers, and no BIA-based measure was superior. Percent body fat estimated from BIA was minimally predictive of the physiological markers independent of BMI. Discussion: These results suggest that BIA is not superior to BMI as a predictor of overall adiposity in a general population. Copyright © 2006 NAASO.

References Powered by Scopus

Nutritional Epidemiology

5898Citations
N/AReaders
Get full text

Guidelines for healthy weight

1028Citations
N/AReaders
Get full text

Lean body mass estimation by bioelectrical impedance analysis: A four-site cross-validation study

804Citations
N/AReaders
Get full text

Cited by Powered by Scopus

BMI and all cause mortality: Systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants

641Citations
N/AReaders
Get full text

Obesity Epidemiology

391Citations
N/AReaders
Get full text

Comparison of self-reported and measured BMI as correlates of disease markers in U.S. adults

328Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Willett, K., Jiang, R., Lenart, E., Spiegelman, D., & Willett, W. (2006). Comparison of bioelectrical impedance and BMI in predicting obesity-related medical conditions. Obesity, 14(3), 480–490. https://doi.org/10.1038/oby.2006.63

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 38

61%

Professor / Associate Prof. 13

21%

Researcher 10

16%

Lecturer / Post doc 1

2%

Readers' Discipline

Tooltip

Medicine and Dentistry 23

40%

Agricultural and Biological Sciences 14

24%

Nursing and Health Professions 12

21%

Social Sciences 9

16%

Save time finding and organizing research with Mendeley

Sign up for free