This project is a 4-year study to develop and validate innovative analytical uses of multifrequency bioelectrical impedance to quantify total body fat, body water, and to describe levels of regional body fatness in Black and White adults. The study has two aims: 1) To establish new techniques and models for maximum use of the spectrum of multifrequency bioelectrical impedance data in estimating total body fatness, total body water and levels of regional fatness, and 2) To use models of the spectrum of multifrequency bioelectrical impedance data to describe total body fatness, body water and levels of regional fatness among Black and White adults. The rationale for the study is that single frequency (50 MHz) bioelectrical impedance analysis is an imprecise measure of body fatness. Multifrequency BIA also underestimates body fatness in obese people. Multifrequency BIA appears to avoid these problems. However, the system has not been adequately tested in segments of the population at greatest risk for being obese. Body fatness prediction equations has not been not been developed using multifrequency BIA in Black and White adults. A community sample of 480 men and women (plus 48 for a replicability study), ages 18-65 years will be studied. The sample will be equally divided by race and sex. Participants will also be equally divided by BMI levels (< 75th percentile; 25-75th percentile). Total and segmental (right arm, leg, and trunk) body fatness will be estimated using mathematical regression modeling of the multifrequency bioelectrical spectrums of impedance and phase angles. Estimates of body fatness from multifrequency bioelectrical spectrums will be validated and cross-validated against corresponding estimates from DXA, total body water, and extra-cellular fluid volume. Comparison of the models between sex, race, and BMI groups will be made using MANOVA, post hoc tests, and ANCOVA.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL053404-03
Application #
2702266
Study Section
Special Emphasis Panel (ZRG4-SOH (05))
Project Start
1996-05-15
Project End
2000-04-30
Budget Start
1998-05-01
Budget End
1999-04-30
Support Year
3
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Wright State University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
City
Dayton
State
OH
Country
United States
Zip Code
45435
Chumlea, W C; Guo, S S; Kuczmarski, R J et al. (2002) Body composition estimates from NHANES III bioelectrical impedance data. Int J Obes Relat Metab Disord 26:1596-609
Chambers, B A; Guo, S S; Siervogel, R et al. (2002) Cumulative effects of cardiovascular disease risk factors on quality of life. J Nutr Health Aging 6:179-84
Chumlea, W C; Guo, S S; Zeller, C M et al. (2001) Total body water reference values and prediction equations for adults. Kidney Int 59:2250-8
Morrison, J A; Guo, S S; Specker, B et al. (2001) Assessing the body composition of 6-17-year-old Black and White girls in field studies. Am J Hum Biol 13:249-54
Chumlea, W M; Guo, S S (2000) Assessment and prevalence of obesity: application of new methods to a major problem. Endocrine 13:135-42
Chumlea, W C; Siervogel, R M; Wu, Y et al. (2000) Bioelectrical impedance spectroscopy and body composition. Ann N Y Acad Sci 904:210-3
Chumlea, W C; Guo, S S; Zeller, C M et al. (1999) Total body water data for white adults 18 to 64 years of age: the Fels Longitudinal Study. Kidney Int 56:244-52
Chumlea, W C; Hall, G; Lilly, F et al. (1999) The Mini Nutritional Assessment and body composition in healthy adults. Nestle Nutr Workshop Ser Clin Perform Programme 1:13-21;discussion 21-2
Chumlea, W C; Guo, S S (1999) Body mass and bone mineral quality. Curr Opin Rheumatol 11:307-11
Guo, S S; Chumlea, W C (1999) Tracking of body mass index in children in relation to overweight in adulthood. Am J Clin Nutr 70:145S-8S

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