Literature DB >> 10416572

Anthropometry and bioelectrical impedance inconsistently predicts fatness in women with regional adiposity.

P D Swan1, K E McConnell.   

Abstract

PURPOSE: This investigation examined the accuracy of several generalizable anthropometric (ANTHRO) and bioelectrical impedance (BIA) regression equations to estimate % body fat (%BF) in women with either upper body (UB) or lower body (LB) fat distribution patterns.
METHODS: Thirty-six premenopausal women were individually matched for age (X = 38.6 +/- 6.6 yr), BMI (X = 25.5 +/- 4.2 kg x m(-2)) and %BF (30.3 +/- 8.1%; hydrostatic, [UWW]) and placed by waist to hip ratio (WHR) into two distinct groups: LB (N = 18; WHR < or = 0.73) and UB (N = 18; WHR > or = 0.80). Equations tested were ANTHRO: Jackson et al. (JPW-7 and 3 site), 1980; Durnin and Womersley (DW), 1974; Tran and Weltman (TW), 1989; and Vogel et al. (V), 1988; BIA: Lohman (L), 1992; Gray et al. (G), 1989; and VanLoan and Mayclin (VLM), 1987. Circumference and skinfold measures were made by a trained technician. BIA (Vallhalla, 1990B) measures were taken 4 h postprandially under controlled conditions of water intake and exercise. %BF by UWW (criterion) was not different between groups (UB = 30.8 +/- 8.2%; LB = 29.7 +/- 8%).
RESULTS: In the UB group, three of five ANTHRO equations significantly overestimated %BF by approximately 6% (range = 3-8%) as compared with UWW. BIA overestimated %BF in UB by 5% using G and in both groups by about 6% using VLM, whereas L underestimated %BF in LB by about 4%.
CONCLUSION: We conclude that ANTHRO and some BIA equations are accurate for predicting %BF in LB fat "shaped" women but are not appropriate for women with primarily abdominal fat patterning.

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Year:  1999        PMID: 10416572     DOI: 10.1097/00005768-199907000-00023

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  6 in total

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5.  Correlation of Air Displacement Plethysmography with Alternative Body Fat Measurement Techniques in Men and Women.

Authors:  Brittany L Reinert; Roberta Pohlman; Lynn Hartzler
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6.  Differences in Fat Mass Estimation Formulas in Physically Active Adult Population and Relationship with Sums of Skinfolds.

Authors:  Raquel Vaquero-Cristóbal; Mario Albaladejo-Saura; Ana E Luna-Badachi; Francisco Esparza-Ros
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  6 in total

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