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Comparison of four methods to assess body composition in women

Article Abstract:

The accuracy of four techniques used to assess body composition in women were compared. The methods examined were percent body fat (%BF) with hydrostatic weighing (HW), near-infrared spectrophotometry (NIR), bioelectrical impedance analysis (BIA) and seven-site skinfolds (7-SFs). Analysis of variance showed no mean difference in all the methods respective to %BF. However, comparison between assessments computed through machine readings differed from that of the manufacturer's equation. The use of BIA and 7-SF was recommended over NIR due to assessed prediction error values.

Women

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Reproducibility of self-reported past body weight

Article Abstract:

A study on the reproducibility of self-reported former body weights between ages 25 years to 40 years to find out factors influencing their recall is presented. Person-to-person interviews were conducted on subjects who were participants of dietary study at the European Prospective Investigation of Nutrition and Cancer. The interviews were repeated after a period of one year. Results show that self-reports of past body weights are accurate and highly reproducible. It also proves that the interviews can provide correct information on previous body weights.

Psychological aspects, Research, Body weight, Recollection (Psychology), Recall (Memory)

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Low-dose spiral computer tomography for measuring abdominal fat volume and distribution in a clinical setting

Article Abstract:

A low-dose spiral computer tomography (CT) technique was tested on a phantom to determine its validity and reproducibility as a tool for measuring body composition. The total volume, total fat and four defined compartmental fat volumes in the truncal area of the 22-cm phantom were measured. The new CT technique, which was later used to measure volume and distribution in patients, was found to efficiently measure fat volume in vitro even as it can be utilized in vivo for compartmental fat measures.

CT imaging, CAT scans

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