» Articles » PMID: 18778488

Is Bioelectrical Impedance Accurate for Use in Large Epidemiological Studies?

Overview
Journal Nutr J
Publisher Biomed Central
Date 2008 Sep 10
PMID 18778488
Citations 160
Authors
Affiliations
Soon will be listed here.
Abstract

Percentage of body fat is strongly associated with the risk of several chronic diseases but its accurate measurement is difficult. Bioelectrical impedance analysis (BIA) is a relatively simple, quick and non-invasive technique, to measure body composition. It measures body fat accurately in controlled clinical conditions but its performance in the field is inconsistent. In large epidemiologic studies simpler surrogate techniques such as body mass index (BMI), waist circumference, and waist-hip ratio are frequently used instead of BIA to measure body fatness. We reviewed the rationale, theory, and technique of recently developed systems such as foot (or hand)-to-foot BIA measurement, and the elements that could influence its results in large epidemiologic studies. BIA results are influenced by factors such as the environment, ethnicity, phase of menstrual cycle, and underlying medical conditions. We concluded that BIA measurements validated for specific ethnic groups, populations and conditions can accurately measure body fat in those populations, but not others and suggest that for large epidemiological studies with diverse populations BIA may not be the appropriate choice for body composition measurement unless specific calibration equations are developed for different groups participating in the study.

Citing Articles

Diagnostic performance of various radiological modalities in the detection of sarcopenia within Asian populations: a systematic review.

Ang S, Liew J, Dharmaratnam V, Yik V, Kok S, Aftab S Ann Coloproctol. 2025; 41(1):27-39.

PMID: 40044110 PMC: 11894942. DOI: 10.3393/ac.2024.00080.0011.


Impact of sequence in concurrent training on physical activity, body composition, and fitness in obese young males: A 12-week randomized controlled trial.

Li Z, Gong T, Ren Z, Li J, Zhang Q, Zhang J J Exerc Sci Fit. 2025; 23(2):112-121.

PMID: 40040838 PMC: 11879673. DOI: 10.1016/j.jesf.2025.02.001.


Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity.

Masset K, Silva A, Ferrari G, de Araujo Tinoco Cabral B, Dantas P, Da Costa R Front Nutr. 2025; 12:1499752.

PMID: 39902311 PMC: 11788142. DOI: 10.3389/fnut.2025.1499752.


Association of dietary insulin index (DII) and dietary insulin load (DIL) with circadian rhythm and quality of sleep among overweight and obese women: a cross-sectional study.

Mirzababaei A, Abaj F, Radmehr M, Ghorbani M, Aali Y, Rajabi Harsini A BMC Endocr Disord. 2024; 24(1):277.

PMID: 39716153 PMC: 11667852. DOI: 10.1186/s12902-024-01811-1.


Design and Development of Portable Body Composition Analyzer for Children.

Rashmi R, Umapathy S, Alhajlah O, Almutairi F, Aslam S Diagnostics (Basel). 2024; 14(23).

PMID: 39682566 PMC: 11639819. DOI: 10.3390/diagnostics14232658.


References
1.
Ward L, Heitmann B, Craig P, Stroud D, Azinge E, Jebb S . Association between ethnicity, body mass index, and bioelectrical impedance. Implications for the population specificity of prediction equations. Ann N Y Acad Sci. 2000; 904:199-202. DOI: 10.1111/j.1749-6632.2000.tb06449.x. View

2.
Zamboni M, Turcato E, Santana H, Maggi S, Harris T, Pietrobelli A . The relationship between body composition and physical performance in older women. J Am Geriatr Soc. 1999; 47(12):1403-8. DOI: 10.1111/j.1532-5415.1999.tb01557.x. View

3.
Merchant A, Anand S, Vuksan V, Jacobs R, Davis B, Teo K . Protein intake is inversely associated with abdominal obesity in a multi-ethnic population. J Nutr. 2005; 135(5):1196-201. DOI: 10.1093/jn/135.5.1196. View

4.
Deurenberg P, Weststrate J, Seidell J . Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991; 65(2):105-14. DOI: 10.1079/bjn19910073. View

5.
Wang J, Thornton J, Kolesnik S, Pierson Jr R . Anthropometry in body composition. An overview. Ann N Y Acad Sci. 2000; 904:317-26. DOI: 10.1111/j.1749-6632.2000.tb06474.x. View